Impact Factor 4.003 | CiteScore 4.0

More on impact ›


Front. Neurol., 05 July 2021 |

Sensory Stimulation of the Foot and Ankle Early Post-stroke: A Pilot and Feasibility Study

  • 1School of Allied Health Professions, Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom
  • 2Acquired Brain Injury Recovery Alliance (ABIRA), School of Health Sciences, University of East Anglia, Norwich, United Kingdom
  • 3National Institute for Health Research (NIHR) Brain Injury MedTech Co-operative, Cambridge, United Kingdom
  • 4School of Nursing and Midwifery, Faculty of Medicine and Health Sciences, Keele University, Keele, United Kingdom

Background: Somatosensory stimulation of the lower extremity could improve motor recovery and walking post-stroke. This pilot study investigated the feasibility of a subsequent randomized controlled trial (RCT) to determine whether task-specific gait training is more effective following either (a) intensive hands-on somatosensory stimulation or (b) wearing textured insoles.

Objectives: Determine recruitment and attrition rates, adherence to intervention, acceptability and viability of interventions and outcome measures, and estimate variance of outcome data to inform sample size for a subsequent RCT.

Methods: Design: randomized, single-blinded, mixed-methods pilot study.

Setting: In-patient rehabilitation ward and community.

Participants: n = 34, 18+years, 42–112 days following anterior or posterior circulation stroke, able to follow simple commands, able to walk independently pre-stroke, and providing informed consent.

Intervention: Twenty 30-min sessions of task-specific gait training (TSGT) (delivered over 6 weeks) in addition to either: (a) 30–60 min mobilization and tactile stimulation (MTS); or (b) unlimited textured insole (TI) wearing.

Outcomes: Ankle range of movement (electrogoniometer), touch-pressure sensory thresholds (Semmes Weinstein Monofilaments), motor impairment (Lower Extremity Motricity Index), walking ability and speed (Functional Ambulation Category, 5-m walk test, pressure insoles) and function (modified Rivermead Mobility Index), measured before randomization, post-intervention, and 1-month thereafter (follow-up). Adherence to allocated intervention and actual dose delivered (fidelity) were documented in case report forms and daily diaries. Focus groups further explored acceptability of interventions and study experience.

Analysis: Recruitment, attrition, and dose adherence rates were calculated as percentages of possible totals. Thematic analysis of daily diaries and focus group data was undertaken. Standard deviations of outcome measures were calculated and used to inform a sample size calculation.

Results: Recruitment, attrition, and adherence rates were 48.57, 5.88, and 96.88%, respectively. Focus groups, daily-diaries and case report forms indicated acceptability of interventions and outcome measures to participants. The 5-m walk was selected as primary outcome measure for a future trial [mean (SD) at end of intervention: 16.86 (11.24) MTS group and 21.56 (13.57) TI group]; sample size calculation indicated 60 participants are required per group.

Conclusion: Recruitment, attrition and adherence rates and acceptability of interventions and outcomes justify a subsequent powered RCT of MTS+TSGT compared with TI+TSGT.


Every 2 s, someone in the world experiences a stroke; there are more than 1.2 million stroke survivors in the United Kingdom (UK) alone (1). Many stroke survivors—between 65% (2) and 85% (3)—experience somatosensory impairment. This impacts adversely on the ability to detect, discriminate, and recognise sensations from the body because somatosensory function includes tactile sensation, vibration, pressure, proprioception, temperature, and pain (4). Somatosensory impairment of the lower limb is experienced by between 45% (5) and 56% (6) of stroke survivors and makes performance of everyday tasks difficult (5, 7). Consequently, potential for achieving independent walking post-stroke is decreased (8).

Regaining the ability to walk is a priority for many stroke survivors. Identifying best treatments to address balance, gait, and mobility has been identified by the James Lind Alliance as one of the top 10 research priorities for stroke (9). Progress is promised by interventions aiming to reduce motor impairment and thus recovery of body functions toward their pre-stroke state by utilising the principles of activity-driven neuroplasticity (10). Interventions to facilitate activity-driven neuroplasticity are placed into a framework of priming, augmentation, and practise (11).

Priming interventions prepare the sensorimotor system for motor function, specifically when limited or no volitional control of movement exists. Priming can be achieved through the provision of somatosensory stimulation as a precursor to task-specific training (11). Therapists can deliver intensive proprioceptive and tactile stimulation through a hands-on intervention known as mobilization and tactile stimulation (MTS) (12). Research into MTS for the contralesional hand post-stroke found reduction of motor impairment and improved upper-limb function (13, 14). MTS is also applied to the foot (15, 16). It is hypothesised that greater somatosensory awareness and alignment of the foot, through intensive somatosensory stimulation using MTS, improves the ability to place and transfer weight over the foot, permitting adaptation to different floor surfaces. However, this has not yet been tested.

Augmenting interventions may also enhance somatosensation during task-specific activity. For example, standing on textured materials (17) and wearing textured insoles (TIs) in shoes to improve perceptual motor performance (18). TIs are designed to stimulate sensory receptors on the plantar surface of the foot: tactile (19), pressure (20), and vibration (21). Afferent information from the foot and ankle is, therefore, crucial for postural control and walking capacity (22). TIs that enhance sensory awareness of the foot during motor activity are also expected to improve contact of the foot with the supporting surface and thus interaction between the foot and the floor, which is important for functional activity (23). The use of TIs is a “hands-off,” low-cost augmentation strategy that has been shown to reduce mediolateral sway in healthy populations (24), and change spatiotemporal gait parameters in people with multiple sclerosis (25). However, TIs have not yet been investigated in a stroke population, stimulating the contralesional side.

Practice interventions use task-specific training, which is recommended when stroke survivors can repeat and practice movements or tasks (11). Task-specific training has been shown to improve motor function post-stroke (2628). More specifically, task-specific gait training (TSGT) is an effective intervention after stroke (26, 2931).

It is known that afferent input can influence motor control (32, 33). However, it is not known whether combining TSGT with somatosensory stimulation—either priming using MTS, or augmentation by wearing TIs—would increase the effect. The hypothesis is that MTS (priming intervention) immediately before TSGT has greater efficacy than TSGT combined with wearing TIs (augmentation intervention) in reducing sensorimotor impairment and improving functional ability of the more paretic lower limb after stroke. Before this hypothesis can be tested in an adequately powered randomized controlled trial (RCT) it was important to undertake a pilot study to determine the viability of a subsequent RCT (34, 35).

The objectives for this study were to:

1. Estimate recruitment rate for a subsequent RCT.

2. Estimate attrition rate for a subsequent RCT.

3. Estimate the adherence rate to the interventions and their acceptability to participants.

4. Investigate acceptability and feasibility (effective delivery and success of blinding) of a battery of outcome measures, to inform primary and secondary outcome measures for a future trial.

5. Undertake a sample size calculation for a subsequent RCT, using the estimated variance of the selected primary outcome measure.

6. Monitor the type and frequency of adverse events.

Materials and Methods

Design, Randomization, Ethics, Trial Registration, and Procedure

We undertook a two-group, randomized, single-blinded pilot study with an embedded qualitative investigation using participant self-report in daily diaries, and focus groups.

Randomization of participants to one of two groups (MTS+TSGT or TIs+TSGT) was undertaken by the Norwich Clinical Trials Unit, using a computer randomization system in a 1:1 ratio with permuted blocks of two and four. Stratification by left- or right-sided brain lesion (identified from the medical notes) was used because this factor may influence rehabilitation potential (36). Group allocation order was concealed from the research team until after a participant had completed the measurement battery at baseline (37).

All outcome measurements in which observer bias could occur were undertaken by assessors blinded to treatment group allocation. Measures were employed to enhance blinding. To avoid a chance observation of insoles unblinding the assessor, all participants were provided with one pair of insoles, but those in the MTS+TSGT group were told not to use them. On completion of the interventions all the TIs were collected and observed for any indications that they had been worn. In addition, participants were asked not to disclose group allocation to the blinded assessor and the case report forms were not accessible to the blinded assessor.

Research ethics approval for this study was obtained from the UK National Research Ethics Service (4/3/16), IRAS No: 171968/REC Ref 16/WM/0080. All participants gave informed consent. The study was registered on a clinical trials database (ISRCTN 13676183; Central Portfolio Management System ID 30449). The study sponsor was Keele University.

Following eligibility screening and after providing written informed consent, participants undertook the measurement battery at baseline (prior to randomization), after 20 sessions of intervention (end of intervention), and 1 month thereafter (follow-up). Progress measures within the intervention phase were also recorded after 5, 10, and 15 treatments, and participants kept a daily diary during the intervention phase. Post-study focus groups explored participant acceptability and feasibility of the interventions and outcome measures. An overview of the study is given in Figure 1.


Figure 1. Overview of the study design. FAC, Functional Ambulation Category; mRMI, modified Rivermead Mobility Index; MTS, Mobilization and tactile stimulation; NIHSS, National Institutes of Health Stroke Scale; TI, Textured insole.


We recruited adults (aged 18 years or older) with stroke occurring in any brain area 42–112 days prior to providing informed consent. Specific inclusion criteria were: able to follow simple commands and imitate actions using the less paretic (ipsilesional) upper limb; able to walk independently prior to index stroke with or without a walking aid; and unable to step on and off a 7·5 cm high block more than 12 times in 15 s with either the more paretic (contralesional) or less paretic (ipsilesional) lower limb (38). Exclusion criteria were: any pathology or previous stroke affecting lower-limb sensation e.g., diabetic neuropathy; fixed contracture of the tendo Achillis; pressure sores or ulcers on the foot or contralesional ankle; any pathology affecting blood circulation to or from the contralesional foot; botulinum toxin injection to the contralesional lower limb in the previous 6 months; pain sufficient to prevent undertaking interventions or outcomes; and known HIV, hepatitis non-A or related condition (to meet sponsor requirements).

Where posterior circulation stroke had caused paresis in either the ipsilesional side or both sides of the body, prior to randomization we consulted the participant's therapist, whose opinion was accepted in relation to identifying the more paretic side.

Sample Size, Setting, and Recruitment

A sample of 34 was considered achievable and adequate to enable a sample size calculation for the subsequent RCT by estimating variance on a continuous outcome measure (39, 40), accounting for 10% attrition (objective 5).

The study was conducted in an in-patient stroke rehabilitation ward and community-based Stroke Early Supported Discharge service. Potential participants were identified by research nurses or multidisciplinary stroke teams. Stroke survivors (42–112 days post-stroke) expressing an interest in participating were given a participant information sheet. The first 34 stroke survivors meeting inclusion criteria and providing written informed consent were recruited. The study interventions and outcome measurements were performed either in an inpatient clinical setting within an NHS organisation or at the participant's own home, depending upon where the participant resided at that time. However, wherever possible the location for undertaking the outcome measures at baseline was replicated for the end of intervention and 1-month measures.


Each group received one of two interventions, either MTS+TSGT or TIs+TSGT: 20 sessions delivered within a 6-week period. If participants were receiving routine therapy (usual care), this continued alongside the study interventions. Dose and content of routine therapy were recorded on a treatment record (41) by the clinical team.

Standardisation of the three components of the two interventions was facilitated by developing protocols, co-produced with experienced therapists, using a modified nominal group technique (42), and the Template for Intervention Description and Replication (TIDieR) checklist (43). This was a “dynamic iterative process, involving stakeholders, and reviewing published research evidence, drawing on existing theories” [(44) p. 1].

Research therapists (n = 4) received training in applying and delivering all interventions. To assess fidelity to protocol, the research therapists were observed by a senior member of the project team (SMH) at various points during the study to ensure they were working to protocol.

Mobilization and Tactile Stimulation for the More Paretic Lower Limb

MTS+TSGT group participants received 30–60 min of standardised lower-limb MTS [based upon a dose-response study of MTS for the upper limb (45)] (Figure 2) immediately prior to TSGT. MTS consisted of physical therapy techniques from six intervention categories: (1) passive and accessory movements of joints, (2) massage and soft tissue stretch, (3) creating an active foot in preparation for stance/balance, (4) specific sensory input, (5) isolated/selective joint movement, and (6) patterns of coordinated movement underlying functional activity. The MTS schedule is a module rather than a single intervention, with flexibility to provide individualised interventions to each participant within the confines of the module. Research therapists selected and delivered appropriate combinations of techniques to address specific clinical needs of participants, influenced by multiple issues (46), thereby reflecting clinical reality. Selections and combinations were based upon clinical decisions; it was neither necessary nor appropriate to deliver all techniques in the schedule to all participants. This allowed consideration of issues such as foot hypersensitivity and tolerance of techniques.


Figure 2. Treatment schedule for mobilization and tactile stimulation to the lower limb.

Wearing a Textured Insole in the Shoe of the Contralesional Lower Limb

For TI+TSGT group participants, one TI was placed in the shoe worn on the contralesional foot, and one smooth insole in the shoe worn on the ipsilesional foot. The TI was black, OG1549, with small, pyramidal peaks, with centre-to-centre distances of ~2.5 mm Evalite Pyramid EVA, of 3-mm thickness, Shore value A50 (Figure 3). The smooth insole consisted of medium density EVA, 3-mm thickness, Shore value A50, black, OG1304. Both insoles were made from material manufactured by Algeos UK Ltd., Liverpool, UK1.


Figure 3. Smooth and textured insole (TI), with a close-up of the pyramidal peaks of the textured material.

Insoles were participant-specific and cut to size to fit in each individual shoe. The TI protocol is presented in Table 1. In summary, participants were encouraged to wear the insoles daily for as long as they chose, with advice to gradually increase wearing duration during the 6-week intervention period. They were provided with daily diary sheets to note wearing time (MTS and TI daily diaries in Supplementary Material).


Table 1. Protocol for the textured insole group (based on the Template for Intervention Description and Replication, TIDieR checklist).

Task-Specific Gait Training

Thirty minutes of TSGT were delivered to all participants in both groups, either immediately following MTS treatment (MTS+TSGT group), or while participants wore the insoles (TI+TSGT group), in accordance with the TSGT protocol (Table 2). The specific content of each gait-training session was documented using the comprehensive list of TSGT interventions described (TSGT record in Supplementary Material).


Table 2. TSGT protocol based on the Template for Intervention Description and Replication (TIDieR) checklist.

Data Collection

Originally, we intended to undertake blood flow studies using a portable ultrasound machine to explore whether changes occur in response to MTS treatment. However, this proved not to be feasible due to sonographer time constraints.

Participant Characteristics at Baseline

Data recorded at baseline were: participant demographics; clinical characteristics, including the National Institutes of Health Stroke Scale (NIHSS) (51)2; self-report of walking distance; and the Functional Ambulation Category (52).

Intervention Fidelity and Adherence to Protocol

Delivery of MTS was recorded according to length of each session (minutes). The number of sessions delivered was also recorded. Adherence to protocol was accepted if participants received at least 30 min of MTS (and <60 min) in each intervention session. Understanding optimal treatment dose, as advocated by the second Stroke Recovery and Rehabilitation Roundtable (53), is important to inform future trials.

Participants recorded duration of wearing insoles each day in their daily diary, and it was also reported in case report forms. Delivery of TSGT was recorded according to length of each session (minutes) and adherence calculated as the number of sessions within 10% of the 30 min specified in the protocol.

Lower-Limb Sensorimotor Impairment and Functional Ability

Table 3 provides full details of measures of lower-limb sensorimotor impairment and functional ability and time points for their administration.


Table 3. Summary of outcomes for the MoTaStim-Foot pilot study.

To meet objective 4 and enable selection of a primary outcome measure and sample size calculation (objective 5), a battery of outcome measures was chosen. In relation to the International Classification of Functioning, Disability and Health (ICF) (64), the interventions delivered aimed to alter body structures and functions and activity; participation was also explored through the focus groups. We considered previously reported appropriateness of each outcome measure for measuring sensorimotor impairment or lower-limb function and balance, as well as attention to validity, reliability and responsiveness to change (65, 66).

Sensorimotor Impairment

Clinically relevant measures of sensorimotor impairment were selected to explore sensory or motor changes based upon potential mechanisms of effect, to enable effectiveness to be explored in a future study. Wherever possible, procedures were standardised, and staff were trained appropriately.

In view of the potential for TIs to augment somatosensation and facilitate sensorimotor control whilst being worn, we removed these from footwear before undertaking outcome measure assessment to ensure parity of testing conditions for both groups.

The Lower Extremity Motricity Index (LEMI), a valid and reliable (56, 57) measure with no cost implications—with scores ranging from 0 (no movement) to 33 (full strength) for each of three joints tested in a limb, i.e., hip, knee and ankle; a final one point is added so it can be scored out of 100 (57)—was used according to a standardised protocol developed for the trial to monitor strength of hip and knee flexors and ankle dorsiflexors.

We measured ankle range of movement during gait and analysed ankle dorsiflexion and inversion during stance phase, using an electrogoniometer3, costing £4,611, attached to the lateral border of the lower leg. The sensor was positioned vertically in alignment with the lateral malleolus; the data log acquisition unit was calibrated (zeroed) with the participant standing in a neutral position (67). Maximum range of ankle dorsiflexion and inversion movement was recorded during the 5-metre walk test (5MWT); range of knee motion was not measured. Data were extracted from the Biometrics programme and run through a Matlab programme to provide results in degrees of movement. The participants were videoed during the 5MWT to give a visual representation of gait for interest; the video was available for participants to view if they wished to.

Touch/pressure sensory thresholds in the feet relate to activity outcomes (68) and Semmes Weinstein monofilaments (SWMs), costing £240, were therefore selected as an outcome measure for this study. SWMs are a reproducible method of assessing somatosensation (55). Touch/pressure sensory threshold was established by identifying the minimum force required to accurately identify touch/pressure threshold and was measured using SWMs at four anatomical points located on the plantar surface of the foot: mid-heel; pad of the hallux; 1st metatarsophalangeal (MTP) joint; and 5th MTP joint (56). We developed a bespoke protocol informed by the literature to reduce potential testing fatigue and this was used successfully following training of assessors (Supplementary Material).

Pressure under the feet was measured during stance phase of walking using the TEKSCAN™ (F-Scan™) system, costing ~£14,000, which involved inserting thin insoles (containing 960 separate pressure-sensing cells arranged in rows and columns) into participants' shoes. Following calibration, force-time integral and centre of force velocity (COFV) were measured (59). Symmetry of gait was not a focus of this pilot study.

Functional Ability

We selected clinically relevant measures of lower-limb functional ability to explore changes in function, specifically balance and walking, which had potential to enable effectiveness to be explored in a future study.

The Functional Ambulation Category (FAC), which had no cost implications, measured walking ability (scored from 0, non-functional ambulator to 5, ambulator, independent) (52); the research assessor selected the appropriate category after observing the participant walk. The 5MWT, which also had no cost implications, measured walking speed (58). However, the environment for undertaking assessment and standardisation of the measure should be considered. Suzuki et al. (69) advocated a 3-metre (m) lead-up (thus a total of 8 m), and Salbach et al. (58) advised 2 m to allow acceleration, and a further 2 m at the end for deceleration (thus a total of 9 m). This straight distance is not usually available in participants' homes; a modified 5MWT was, therefore, conducted.

Functional mobility (bed mobility, transfers, sitting and standing balance, walking and stairs) was assessed using the modified Rivermead Mobility Index (mRMI), which again had no cost implications (61). A maximum score of 40 is possible for the mRMI. Owing to lack of access for stair assessments in some homes, to maintain parity across participants, we omitted the stairs section when calculating the mRMI (maximum score 35). The full validated mRMI measure was, therefore, not used.

Observer Blinding

At 1-month follow-up, the blinded assessor was asked to indicate to which group she thought the participant had been allocated (reported as a percentage of correctly guessed group allocations); this allowed us to assess the success of observer-blinding procedures.

Daily Diaries

Throughout the intervention period, participants were asked to keep a daily diary to help them to “focus their thoughts” [(70), p. 993] and record any changing perception of their lower limb (sensation, movement, or function), and their experiences of interventions and outcomes. These qualitative data aimed to gain an understanding of acceptability of the interventions and outcome measures (objectives 3 and 4).

Focus Groups

After follow-up data had been collected, all participants were invited to attend one of two focus groups, according to group allocation (two focus groups for each intervention group), exploring their study experiences (62) and the acceptability of the intervention and outcome measures (objectives 3 and 4). A focus group topic guide, developed by the research team and patient and public involvement and engagement (PPIE) advisors, included topics relating to: participation in the study; acceptability of interventions and outcome measures; and perceived changes in lower-limb functions of standing, balancing, and walking following intervention. The topic guide was influenced by an understanding of changes that may occur when somatosensory stimulation is delivered. Open questions facilitated greater understanding of participants' experiences, enabling them to take a lead in sharing information (71). Separate topic guides were developed for each group.

MTS+TSGT group (Supplementary Material);

TI+TSGT group (Supplementary Material).

Following consent, focus groups were audio-taped, and moderated by one researcher (AMA). A PPIE advisor, trained to undertake the role, took field notes. At the end of the discussion, the moderator summarised the key issues, with assistance from the PPIE advisor, and sought validation from participants (62). Debrief meetings with PPIE volunteers and members of the research team immediately after each focus group enabled discussion of the main topic areas, identification of preliminary themes, and topics (71) that needed further exploration in the second focus group for that group. Debriefing also involved evaluation of the moderator's role and consideration of researcher reflexivity (71). Consideration and bracketing of the lead researcher's assumptions (from extensive clinical experience prior to undertaking the focus groups) continued throughout data collection and analysis phases (72). Debriefing meetings offered the opportunity for psychological support for PPIE volunteers in case of unpredictable emotional response (73) to issues raised during the focus group.

Adverse Events and Reactions

Adverse reactions of pain and fatigue were monitored, informing about acceptability and appropriateness of interventions for stroke survivors in future studies (objective 6). Overly intensive TSGT has potential to elicit pain or fatigue in the contralesional lower limb post-stroke. Therefore, pain and fatigue were monitored and documented on the case report forms throughout the study, using verbal report for pain and decrease in LEMI score for fatigue.


As this was a pilot study, no between-group analysis or formal hypothesis testing were undertaken (74, 75).

Objectives 1 and 2

We calculated recruitment and attrition rates from the number of patients invited to participate, the number and proportion of those consenting to participate, the number and proportion of eligible participants recruited, and the number and proportion of those lost to follow-up at 1-month, which was the longest feasible follow-up time for the study.

Objective 3

We assessed adherence to intervention protocols (MTS, wearing TIs, and TSGT). The mean amount of TSGT delivered per group was calculated, as well as mean duration of MTS and time wearing TIs. Adherence was confirmed if the interventions had been delivered to protocol.

Objective 4

Participant acceptability, including comfort and ease of use, of each outcome measure was assessed using data from daily diaries and focus groups. We assessed effective delivery and appropriateness of primary and secondary outcome measures in terms of feasibility of administering, ability to standardise procedures, clinical relevance, cost, psychometric properties and level of measurement, presence of floor/ceiling effects, responsiveness to change, as well as the number and proportion of participants completing the outcome measures and variance of scores of the measures (65).

Feasibility and acceptability of delivering interventions and outcome measures were informed by calculating frequency of pain, fatigue, and adverse events, and from participant feedback (daily diaries and focus groups). The target was that outcome measures would be completed for all participants at all three time points and be acceptable to the participants. The results from both quantitative and qualitative data were analysed and synthesised to inform final decisions.

We undertook content analysis (76) of daily diary data and thematic analysis for both focus group and daily diary data, using Braun and Clarke's (63) six-stage process, to explore acceptability of interventions (MTS, TIs, and TSGT) and outcome measures (objectives 3 and 4). Once initial coding had taken place, data management was facilitated using NVivo qualitative data analysis (Software QSR International Pty Ltd. Version 11, 2016). Organisation and familiarisation of data and codes was also enhanced by using the one-sheet-of-paper method (77).

One researcher (AMA) coded the transcribed data and subsequently discussed codes, themes and sub-themes with two other members of the research team (SMH and SR), who had also coded transcripts independently, identifying provisional themes for discussion. These provisional themes were shared and discussed amongst the research team and an independent PPIE representative (who had read all focus group transcripts), enabling maturation of themes. Any differences of opinions were discussed. The research team collectively looked for conceptual relationships within and across the focus groups. Final themes were identified from both the daily diaries and focus groups. We kept an audit trail of how themes were developed and matured.

The number and proportion of participants completing all outcome measures were calculated; floor and ceiling effects were also explored from the data.

Objective 5

Variance of outcome measure scores was calculated, providing information for a sample size calculation for a future main trial.

Objective 6

Adverse events and reactions were recorded.

Summarising the Results of the Study

A traffic light system (78, 79) indicating what aspects of the study should be taken forward and any that need modification was developed. Aspects that should not be retained were graded red, those that could be retained but with some changes, amber and those that could be retained without any changes green.

Study and Data Management

A Study Management Group monitored the study for adherence to protocol and timelines. Quality assurance was supported by the Norwich Clinical Trials Unit. We collected and stored all data securely in accordance with the General Data Protection Regulation 2018 (80).


Participant Characteristics

A total of 34 participants were recruited to the trial. Participant characteristics are presented in Table 4. No differences were discernible between the MTS+TSGT and TI+TSGT groups at baseline.


Table 4. Participant characteristics and demographics at baseline.

Recruitment Rate, Flow Through Study, and Attrition Rate (Objectives 1 and 2)

Over the 18-month recruitment period, we assessed 70 stroke survivors for eligibility. Of these, 34 (48.57%, 95% CI 37.2%, 60.0%) were recruited into the study and randomized to one of the two interventions: 19 participants to receive MTS+TSGT and 15 to receive TI+TSGT (Figure 4).


Figure 4. CONSORT diagram for the MoTaStim-Foot feasibility study.

Attrition rate was 5.88% (95% CI 1.6%, 19.1%) at both outcome and follow-up timepoints. Two participants were withdrawn from the TI+TSGT group: one received a botulinum toxin injection to the contralesional lower limb prior to completing the first treatment session, and another developed a lesion (unrelated to the trial) on the ipsilesional foot. Consequently, 32 participants completed outcome and follow-up measures.

Interventions Adherence Rates and Acceptability (Objective 3)

All participants, apart from two withdrawn from the TI+TSGT group, received all 20 sessions. All research therapists were observed to be delivering the interventions to protocol.

The dose of each intervention and usual care delivered, including actual dose achieved and adherence rate for interventions, and the amount of routine therapy (usual care) delivered can be seen in Table 5. The mean (SD) number of minutes of routine therapy delivered per participant was similar for both groups [MTS+TSGT group, 44.44 (12.48); TI+TSGT group, 43.28 (14.61)].


Table 5. Dose of each intervention and usual care delivered, including actual dose achieved (fidelity) and adherence rate for interventions.

Adherence and Fidelity

Prescribed dose, actual dose delivered (fidelity), and adherence rates to protocol for delivery of MTS, TI, and TSGT are explicit in Table 5. Adherence rate for all the interventions was good, ranging from 94.74% (MTS) to 100% (TIs).

The lowest value of time for wearing the TIs was 0.5 h; this occurred because one participant was unable to “don and doff” the TIs independently, and required assistance from the research therapist prior to TSGT.

Topic areas and themes identified from the daily diaries are summarised in Table 6, and the content analysis in Table 7. Data extracted from daily diaries indicated participant acceptability of interventions.


Table 6. Topics and themes identified from the daily diaries.


Table 7. Content analysis of daily diaries—number of participants for each aspect ticked.

Four focus groups were held, two for the MTS+TSGT group (focus group 1 n = 5; focus group 3 n = 8) and two for the TI+TSGT group (focus group 2 n = 5; focus group 4 n = 2). Of the 32 participants completing the study, 20 (62.50%) attended one of the focus groups: 13 of 19 participants (68.42%) in the MTS+TSGT group, and 7 of 13 participants (53.85%) in the TI+TSGT group.

We specified three main themes a priori: (1) acceptability of interventions; (2) acceptability of outcome measures; and (3) overall study experience (see Table 8). We derived sub-themes from the data.


Table 8. Final focus group themes summarised, with illustrative quotations.

Theme 1: Acceptability of Interventions

Three sub-themes were identified: (dis)comfort of the somatosensory stimulation interventions (MTS and TIs); the challenges of TSGT; and confidence building.

Sub-theme: Comfort/Discomfort of Somatosensory Stimulation


Content analysis of daily diaries indicated that three participants found aspects of MTS to be uncomfortable or painful, particularly when the massage was deeper, using the thumb, to mobilize tight soft tissues. However, this discomfort was generally described as transient, lasting only a few seconds, and only experienced early in the course of interventions. One participant reported, in the diary, discomfort lasting for a longer period of time, and one other participant noted discomfort that ceased after three or four treatments. Two other participants reported no pain from MTS at all; one participant reported it to be enjoyable.

Textured Insoles

Participants found the TIs comfortable to wear, and easy to transfer from shoe to shoe. The textured appearance of the insole caused an initial impression of it being potentially uncomfortable for one participant, although discomfort was not actually experienced when it was worn. Participants generally liked wearing the insoles, and wore them regularly throughout the day, some even wearing them all day. Surprisingly, some participants preferred the sensation of the TI in the contralesional shoe to that of the plain insole in the ipsilesional shoe.

Sub-theme: Challenges of Task Specific Gait Training

Whilst TSGT was not reported as being uncomfortable, it was perceived to be challenging, and was described by five participants (from three focus groups) as being hard work. It was also perceived as being tiring, requiring rest or recovery time afterwards, with the fatigue even manifesting itself the following day. TSGT was considered by one participant to be confusing, and two participants described the challenge of TSGT as frightening.

Despite the discomfort and challenges, all three interventions were considered acceptable by participants.

Sub-theme: Confidence Building

Interventions in this study were delivered by skilled therapists, and their ability to demonstrate expertise and knowledge was important to participants in terms of building confidence. The presence of an experienced health professional appeared to provide a level of reassurance that waned once the intervention was withdrawn and could not be replicated by the presence of a partner. The experienced therapist provided motivation and instilled a sense of confidence and belief in the ability to walk. This increased confidence and the perceived improvement in mobility was considered by participants to be directly attributable to the intervention, confirming its acceptability. Improvements in balance and lower-limb control were perceived by participants to contribute to this increased confidence and reduced fear of falling and perceived risk of falls.

Theme 2: Acceptability of Outcome Measures (Objective 4)

Although sometimes challenging, outcome measures were accepted by participants as being an integral component of the study. Overall, the selected outcome measures seemed to have a motivating effect, perhaps making them more acceptable, despite the time required to complete them. Two sub-themes were identified: usefulness of feedback, and safety.

Sub-theme: Usefulness of Feedback on Progress

Visual feedback from outcome measures was welcomed by participants, who found it reassuring to see the progress made throughout the study. Video recordings of gait during the modified 5MWT at the start and end of the study were particularly meaningful for one participant to illustrate the quality of his recovering movement and function. On-screen pixelated pressure insole data were of great interest and provided participants with novel insights into weight distribution through each foot in standing.

Sub-theme: Safety

The wired Tekscan™ pressure insole set up was a potential safety hazard that had to be managed carefully, particularly during the 5MWT in confined space within the home, to avoid trips over the wires.

Theme 3: Overall Study Experience (Objectives 3 and 4)

Participants' experiences of the study overall were captured in two sub-themes: intensive therapy at home and ending the study.

Sub-theme: Intensive Therapy at Home

Many participants received the interventions in their own home. This was preferable to attending out-patient venues, as they felt more in control and more confident in their own home. It was easier for participants to have the therapist travelling to their house. One participant said she would not have completed the full course of intervention had she been required to travel to receive it, whereas others would have been happy to travel. Regardless, the intensity of mostly daily treatment, often delivered alongside routine NHS therapy, was challenging for some participants.

Sub-theme: Ending the Study

By the time the study finished, many participants had developed sufficient movement and ability to undertake functional activities unaided or with their families, and several participants were demonstrating self-management skills. Nevertheless, some participants felt disappointed and let down, when their participation in the study ended, even describing a sense of loss. There was a perception of having made good progress during the study, but a sadness that the intervention had ceased.

Acceptability and Feasibility of Outcome Measures (Objective 4)

Outcome measures results indicate a decrease in modified 5MWT time from baseline to end of intervention and improvements in the FAC, LEMI, and mRMI scores for both groups, which were maintained at the 1-month follow-up (Table 9).


Table 9. Values for each outcome measure at baseline, end of intervention and 1 month follow-up.

A potential ceiling effect was noted for the mRMI results, with 34.21% of the MTS+TSGT group at both end of intervention and 1-month follow-up, and 7.69% of the TI+TSGT group at end of intervention and 26.92% at 1-month follow-up reaching the full 35-point threshold.

During goniometer measurements, which required participants to wear shoes, there was potential for movement of the electrogoniometer within the shoe, affecting reliability of the measurement.

Research assessors reported that measuring touch/pressure sensory thresholds at four sites using the SWMs was very time-consuming. They also reported that setting up, calibrating and recording pressure insole measurements in multiple locations (each participant's home) was both challenging and time-consuming.

In the MTS group no participants stated the outcome measures were uncomfortable, and in the TI+TSGT group only one participant reported that the outcome measures were uncomfortable.

Success of Blinding

The blinded assessor guessed accurately the group allocation of just three of the 32 participants completing the study: 9.38% (95% CI 3.2%, 24.2%).

Sample Size Calculation (Objective 5)

The required sample size for a main trial, assuming a minimum clinically important difference of 9.6 m/min on the modified 5MWT (81), 90% power, a two-tailed 5% significance level and equal allocation, would be 51 per group. As small studies may underestimate the standard deviation (82), the observed standard deviation of 12.23 in the current study was inflated by a factor of 1.21 so as to be 90% confident of achieving the nominal power in the main trial (83). Assuming 15% loss to follow up, 60 participants per group would be required.

Serious Adverse Events, Adverse Events, and Adverse Reactions (Objective 6)

Twenty-seven adverse events were recorded, 14 from the MTS+TSGT group and 13 from the TI+TSGT group. These consisted of: falls (n = 16), back pain (n = 2), neck pain (n = 1), ipsilesional heel pain (n = 1), viral infection (n = 1), atrial fibrillation (n = 1), pressure sore (n = 1), scratch on dorsum of foot (n = 1), tiredness with swollen painful ankles (n = 1), urinary tract infection (n = 1), hip and knee pain (n = 1). These events were considered by an independent assessor, in accordance with Good Clinical Practice (84) and Standard Operating Procedures for Norwich Clinical Trials Unit and Keele University, and all deemed unrelated to the study. There were no adverse reactions to the interventions or outcome measures. There were three unrelated serious adverse events (one further stroke, and two hospital admissions).

Pilot Study Aspects to Inform a Future Trial

The traffic light system (78, 79) indicating which aspects of the study should be taken forward is presented in Table 10.


Table 10. Planning a future trial: pilot study aspects considered within a traffic light system.


This pilot study estimated the recruitment rate to a subsequent effectiveness trial as 48.57% of stroke survivors screened (objective 1) and the attrition rate as 5.88% (objective 2). The adherence rate to the interventions was 96.88%, ranging between 94.74 and 100%, and the interventions and outcome measures were found to be acceptable to participants (objective 3). The selected outcome measures, which were chosen with all aspects of the ICF in mind, measured sensorimotor impairment and lower-limb function and balance, and were delivered with a successful blinding procedure and were acceptable to all 32 participants who completed the study (objective 4). The estimated variance of outcome measures was used to inform a sample size calculation for a subsequent effectiveness trial (objective 5). No adverse events or reactions that occurred were considered to result from participation in the study (objective 6). Consequently, this pilot study was successful at establishing feasibility of a subsequent pragmatic trial.

The recruitment rate of 48.57% compares well with that of other rehabilitation trials, for example: FAST-INdICATE 5.7% (86); FeSTivaLS 4.6% (87); SWIFT-cast 4.59% (88). However, in our pilot study the number of eligible patients was ascertained from the number referred from the clinical team for screening, and not the total number of stroke patients through the service. In addition, our study included people with posterior circulation as well as anterior circulation stroke. Furthermore, recruitment early post-stroke enabled accrual through hospital services, whereas FeSTivaLS recruited stroke survivors ~2 years after stroke from the community. All of these factors potentially increased the recruitment rate for our pilot study compared with earlier trials.

The attrition rate of 5.88% at both outcome and follow-up also compares favourably with earlier trials; for example, the attrition rate at end of intervention (12.5%) and at follow-up (27.8%) for FAST INdiCATE (86) and end of intervention and follow-up (both 15.5%) in FeSTivaLS (87). As reported, the later recruitment time post-stroke for the FeSTivaLS trial and the longer follow-up time (6 months) in the FAST-INdiCATE trial may have accounted for some of the difference in findings in comparison with our study. The relatively small sample size, and the fact that the study was only undertaken at one site, may also have contributed to this low attrition rate.

An adherence (delivery of interventions to protocol) rate of 96.88% [94.74% (MTS)−100% (TIs)] compares favourably with earlier trials, for example in FeSTivaLS where only 65% of participants completed the full complement of functional strength training for the lower limb. The issues stated above may have contributed to this higher value; however, another key aspect was that in the FeSTivaLS trial each intervention lasted for 1 hour, whereas in MoTaStim-Foot each TSGT session lasted half an hour. Another trial, which also delivered 30 min of task-orientated training to improve lower-limb strength, reported 100% adherence (89).

Acceptability involves many different aspects, including: an ability to understand the intervention; participants' perceived ability to participate (self-efficacy); their perceptions of the intervention and its usefulness; burden, including necessary compromises to enable participation; and congruence of the intervention with the participant's value system (90). Participants in this study confirmed that both the textured and smooth insoles were acceptable and comfortable, and the physical characteristics (density, peak height, and distribution) of the TIs used were acceptable for further study with stroke survivors, with participants able to perceive the TI underfoot and differentiate between a textured and smooth insole. The lack of adverse reactions supports the suitability of using MTS and bespoke TIs as interventions in the future.

Objective 4 included identifying a primary outcome measure for future trials (91). All outcomes were assessed at baseline, end of intervention, and 1-month follow-up, and just the LEMI and SWMs measured more frequently, after 5, 10, and 15 treatments, enabling close monitoring of potential changes to inform intervention dose for a future trial. Selection of the primary and secondary outcome measures for the future trial considered many aspects. This included addressing the different ICF domains, validity, reliability, and responsiveness to change, as well as potential floor or ceiling effects, how feasible it was to undertake the different outcome measures, and their acceptability.

Of the measures used in this trial, we considered the modified 5MWT to be the most appropriate primary outcome measure for a future trial: it is reliable (92), responsive to change in walking ability after stroke (58), clinically relevant, quick and easy to set up, and demonstrated potential for change. It provides ratio-level data, has no ceiling or floor effect limitations, and incurs negligible costs. However, to enable improved standardisation of procedure for future trials, a larger space in an appropriate location, such as a university laboratory or hospital setting, should be used rather than the limited space in participants' homes, which does not allow for the recommended 2–3 m (55, 92) for acceleration and deceleration. Further consideration will also be given to the 10MWT or 6-min walk, as advocated by the Stroke Recovery and Rehabilitation Roundtable guidelines for stroke research (66).

For secondary outcome measures to take forward, we selected the LEMI, which is a valid and reliable measure of motor impairment (56, 57) and responsive to change (Table 9), and the FAC, also valid and reliable for classifying functional ability for a stroke population (52), quick to undertake, and responsive to change (Table 9).

A ceiling effect was evident from the mRMI data (93), with median scores of 34 (out of a maximum of 35) in each of the categories at end of intervention and follow-up for both groups. Restricted access to or absence of stairs in participants' homes was an additional limitation of the mRMI. Consequently, we did not consider the mRMI to be a suitable outcome measure for a larger trial.

We found that potential movement of the electrogoniometer within the shoe may have affected reliability and validity of the goniometry data. Whilst this has not been identified as a potential issue by the manufacturer, further investigation of reliability needs to be done before including this in a larger trial.

Touch/pressure sensory threshold testing at four different sites on the plantar surface of the foot was time-consuming. Repeated testing has potential either to increase testing fatigue and reduce attention to the task and, therefore, reliability, or to enhance sensibility of subsequent testing sites by raising awareness of the foot as a whole. Despite using a bespoke algorithm for SWM testing in this study (Supplementary Material), which decreased the burden of testing for participants by reducing the number of filaments used at each location, we need to consider further the choice and number of testing sites. Testing just one site may be sufficient, particularly if that one site indicates either fully intact or absent sensation (94); if sensation at one site is affected, it is likely that all sites will be affected, due to stroke being an upper motor neurone lesion.

Furthermore, assessment of cutaneous touch/pressure thresholds from the plantar surface of the foot in a non-weight-bearing position may not appropriately reflect afferent information received in an upright standing posture. Afferent information from ankle proprioceptors may decrease the importance of cutaneous afferent information from the plantar surface of the foot during balance (95). Impaired proprioception post-stroke is more prevalent than tactile sensory impairment (96) and alignment of the foot and ankle is important to enable normal balance and gait. Although MTS provides tactile information through the cutaneous afferents, an important aim is to provide intensive proprioceptive stimulation (12). Consequently, measurement of proprioception, using the Erasmus version of the Nottingham Sensory Assessment or the sensory section of the Fugl–Meyer Assessment, advocated with careful standardised testing procedures (68), will be considered prior to the next trial.

The challenges relating to setting up and calibrating pressure insoles should be factored into planning the burden of assessment if these insoles are to be included in future studies. Extreme care was necessary to ensure participants' safety, due to the long wires; a wireless system is advised. The additional cost implications need to be considered.

The perceived sense of loss reported in relation to termination of the study needs to be borne in mind for subsequent rehabilitation trials; participants should be adequately supported.

Limitations of This Pilot Study

Undertaking this study at one site, which had been involved in other trials involving MTS and other therapy interventions, may have introduced bias through prior familiarity with the intervention and the research team.

The sample size for our study was the largest achievable within available resources, and whilst smaller than that recommended for estimates of binary outcomes (97), it was broadly in line with recommendations for continuous outcomes (40, 41).

Strengths of This Pilot Study

The sample was representative of the stroke population for age, gender, and type of stroke when comparing with other rehabilitation trials (8688); the small sample size would account for slight discrepancies.

The study followed the guidance in the CONSORT 2010 statement extension to randomized pilot and feasibility trials (75, 98) and the psychometric properties of the outcome measures informed their selection. Research therapists and assessors were appropriately trained, and standardised procedures and protocols were followed for delivering interventions and undertaking outcome measures. Data collection triangulation, by including both daily diaries and focus groups, increased credibility within the study (99).

The value of PPIE in health research has been increasingly recognised, with the NIHR and stroke research networks embracing strategies to increase PPIE input (100). Involvement of PPIE volunteers at all stages of the MoTaSTim-Foot pilot study from initial stages through to dissemination at the UK Stroke Forum, with involvement in almost every aspect of the study, was an important strength. The inclusion of an additional member of the research team (a stroke survivor, a PPIE volunteer) as observer and field-note taker during the focus groups enabled additional insights and an appreciation of the context behind the participants' dialogue, reducing the potential bias associated with a single investigator (101).


This study has successfully provided feasibility information in preparation for a subsequent RCT, suggesting that the subsequent trial will have a high recruitment and low attrition rate, excellent adherence to the experimental and control interventions, and that these interventions and outcome measures will be acceptable to stroke survivors with no expected adverse reactions. We can conclude that a larger RCT is feasible and should have a nominal sample size of 60 participants per group based on the modified 5MWT as the primary outcome measure.

However, prior to undertaking a definitive clinical trial, further consideration will be given to whether the trial can be delivered successfully in other regions, the optimal dose of intervention and most appropriate target population and time post stroke, in accordance with the second Stroke Recovery and Rehabilitation Roundtable recommendations (53).

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by UK National Research Ethics Service (4/3/16), IRAS No: 171968/REC Ref 16/WM/0080. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

AMA, JS, SMH, and VMP developed the statistical analysis plan. AMA and SMH checked the quantitative database for accuracy, exported the data for statistical analysis, analyzed the daily diaries, and drafted the manuscript. AMA, SMH, and JS performed the statistical analyses. AMA, SMH, and SR undertook the thematic analysis of the focus groups. AMA was Chief Investigator for the MoTaStim-Foot pilot study, with supervision from SMH, VMP, JS, and SR. All authors revised the manuscript for important intellectual content, read and approved the final manuscript, and participated in the design of the study.


AMA was funded by a National Institute for Health Research (NIHR), Clinical Academic Doctoral Fellowship for this research project. This report is independent research supported by the National Institute for Health Research (NIHR/HEE CAT Clinical Doctoral Research Fellowship, Mrs Alison Aries, CDRF-2014-05-065). The views expressed in this publication are those of the author(s) and not necessarily those of the NHS, the National Institute for Health Research or the Department of Health. VMP was supported by the National Institute for Health Research (NIHR) Brain Injury MedTech Co-operative based at Cambridge University Hospitals NHS Foundation Trust and University of Cambridge.


The views expressed in this publication are those of the author(s) and not necessarily those of the NHS, the National Institute for Health Research or the Department of Health and Social Care.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.


The authors would like to thank Norwich Clinical Trials Unit for all their support with the development and running of MoTaStim-Foot; particular thanks go to Dr. Erika Sims for her patience and dedication when developing the detailed protocol for the study. Also, our thanks go to the staff within Research Governance at Keele University for their support throughout the study; to Carole Watkins for providing an independent assessment of the adverse events within the study; Emily Samuels and Charlie Hancox for assisting with the analysis of the data related to the interventions and conventional therapy; Dr. Dimitra Blana for assisting with extraction of the electrogoniometer results; and Robert Bradshaw-Hilditch for helping with the preparation of the textured insoles. We would also like to thank the participants of the study and the research therapists. Finally, the work of all the patient and public involvement and engagement volunteers must be acknowledged. Particular thanks go to Paul Bailey for his commitment throughout the study, help running the focus groups and also for presenting the work at the UK Stroke Forum with AMA.

Supplementary Material

The Supplementary Material for this article can be found online at:


5MWT, Five metre walk test; LEMI, Lower Extremity Motricity Index; MoTaStim-Foot, Mobilization and Tactile Stimulation of the Foot; mRMI, Modified Rivermead Mobility Index; MTS, Mobilization and tactile stimulation; NIHSS, National Institutes of Health Stroke Scale; PPIE, Patient and public involvement and engagement; SWMs, Semmes Weinstein monofilaments; TI, Textured insole; TSGT, Task-specific gait training. CI, Confidence interval; IQR, Interquartile range; NHS, National Health Service; SD, Standard deviation; UK, United Kingdom.



2. Feigenson JS, McCarthy ML, Meese PD, Feigenson WD, Greenberg SD, Rubin E, et al. Stroke rehabilitation I. Factors predicting outcome and length of stay-an overview. N Y State J Med. (1977) 77:1426–30.

PubMed Abstract | Google Scholar

3. Kim JS, Choi-Kwon S. Discriminative sensory dysfunction after unilateral stroke. Stroke. (1996) 27:677–82. doi: 10.1161/01.STR.27.4.677

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Carey LM. Stroke Rehabilitation Insights From Neuroscience and Imaging. Oxford: Oxford University Press (2012).

PubMed Abstract | Google Scholar

5. Tyson SF, Crow JL, Connell L, Winward C, Hillier S. Sensory impairments of the lower limb after stroke: a pooled analysis of individual patient data. Topics Stroke Rehabil. (2013) 20:441–9. doi: 10.1310/tsr2005-441

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Gorst T, Rogers A, Morrison SC, Cramp M, Paton J, Freeman J, et al. The prevalence, distribution, and functional importance of lower limb somatosensory impairments in chronic stroke survivors: a cross sectional observational study. Disabil Rehabil. (2018) 41:2433–50. doi: 10.1080/09638288.2018.1468932

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Patel AT, Duncan PW, Lai S, Studenski S. The relation between impairments and functional outcomes poststroke. Arch Phys Med Rehabil. (2000) 81:1357–63. doi: 10.1053/apmr.2000.9397

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Sánchez-Blanco I, Ochoa-Sangrador C, López-Munain L, Izquierdo-Sánchez M, Fermoso-Garcia J. Predictive model of functional independence in stroke patients admitted to a rehabilitation programme. Clin Rehabil. (1999) 13:464–75. doi: 10.1191/026921599672994947

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Pollock A, St George B, Fenton M, Firkins L. Top 10 research priorities relating to life after stroke–consensus from stroke survivors, caregivers, and health professionals. Int J Stroke. (2014) 9:313–20. doi: 10.1111/j.1747-4949.2012.00942.x

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Bernhardt J, Hayward KS, Kwakkel G, Ward NS, Wolf SL, Borschmann K, et al. Agreed definitions and a shared vision for new standards in stroke recovery research: the stroke recovery and rehabilitation roundtable taskforce. Int J Stroke. (2017) 12:444–50. doi: 10.1177/1747493017711816

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Pomeroy V, Aglioti SM, Mark VW, McFarland D, Stinear C, Wolf SL, et al. Neurological principles and rehabilitation of action disorders: rehabilitation interventions. Neurorehabil Neural Repair. (2011) 25:33S−43S. doi: 10.1177/1545968311410942

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Hunter SM, Crome P, Sim J, Donaldson C, Pomeroy VM. Development of treatment schedules for research: a structured review to identify methodologies used and a worked example of ‘mobilisation and tactile stimulation’ for stroke patients. Physiotherapy. (2006) 92:195–207. doi: 10.1016/

CrossRef Full Text | Google Scholar

13. Hunter SM, Crome P, Sim J, Pomeroy VM. Effects of mobilization and tactile stimulation on recovery of the hemiplegic upper limb: a series of replicated single-system studies. Arch Phys Med Rehabil. (2008) 89:2003–10. doi: 10.1016/j.apmr.2008.03.016

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Winter JM, Crome P, Sim J, Hunter SM. Effects of mobilization and tactile stimulation on chronic upper-limb sensorimotor dysfunction after stroke. Arch Phys Med Rehabil. (2013) 94:693–702. doi: 10.1016/j.apmr.2012.11.028

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Hillier S, Dunsford A. A pilot study of sensory retraining for the hemiparetic foot post-stroke. Int J Rehabil Res. (2006) 29:237–42. doi: 10.1097/01.mrr.0000210052.32539.22

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Aries AM, Cooke L, Hunter S. Mobilization and tactile (sensory) stimulation (mts) for the foot post stroke: opinions and perceptions of expert clinicians. Int J Ther Rehabil. (2019) 26:15. doi: 10.12968/ijtr.2019.26.6.15

CrossRef Full Text | Google Scholar

17. Orth D, Davids K, Wheat J, Seifert L, Liukkonen J, Jaakkola T, et al. The role of textured material in supporting perceptual-motor functions. PLoS ONE. (2013) 8:e60349. doi: 10.1371/journal.pone.0060349

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Christovão T, Neto H, Grecco L, Ferreira L, de Moura R, de Souza M, et al. Effect of different insoles on postural balance: a systematic review. J Phys Ther Sci. (2013) 25:1353–6. doi: 10.1589/jpts.25.1353

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Cruz-Almeida Y, Black ML, Christou EA, Clark DJ. Site-specific differences in the association between plantar tactile perception and mobility function in older adults. Front Aging Neurosci. (2014) 6:68. doi: 10.3389/fnagi.2014.00068

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Kavounoudias A, Roll R, Roll J-P. The plantar sole is a 'dynamometric map' for human balance control. Neuroreport. (1998) 9:3247–52. doi: 10.1097/00001756-199810050-00021

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Ribot-Ciscar E, Vedel JP, Roll JP. Vibration sensitivity of slowly and rapidly adapting cutaneous mechanoreceptors in the human foot and leg. Neurosci Lett. (1989) 104:130–5. doi: 10.1016/0304-3940(89)90342-X

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Smania N, Montagnana B, Faccioli S, Fiaschi A, Aglioti SM. Rehabilitation of somatic sensation and related deficit of motor control in patients with pure sensory stroke. Arch Phys Med Rehabil. (2003) 84:1692–702. doi: 10.1053/S0003-9993(03)00277-6

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Raine S, Meadows L, Lynch-Ellerington M. Bobath Concept: Theory and Clinical Practice in Neurological Rehabilitation. Chichester: Blackwell Publishing (2009).

Google Scholar

24. Hatton AL, Dixon J, Rome K, Martin D. Standing on textured surfaces: effects on standing balance in healthy older adults. Age Ageing. (2011) 40:363–8. doi: 10.1093/ageing/afr026

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Dixon J, Hatton AL, Robinson J, Gamesby-Iyayi H, Hodgson D, Rome K, et al. Effect of textured insoles on balance and gait in people with multiple sclerosis: an exploratory trial. Physiotherapy. (2014) 100:142–9. doi: 10.1016/

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Veerbeek JM, van Wegen E, van Peppen R, van der Wees PJ, Hendriks E, Rietberg M, et al. What is the evidence for physical therapy poststroke? A systematic review and meta-analysis. PLoS ONE. (2014) 9:e87987. doi: 10.1371/journal.pone.0087987

PubMed Abstract | CrossRef Full Text | Google Scholar

27. French B, Thomas LH, Coupe J, McMahon NE, Connell L, Harrison J, et al. Repetitive task training for improving functional ability after stroke. Cochrane Database Syst Rev. (2016) 11:CD006073. doi: 10.1002/14651858.CD006073.pub3

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Rudd A, Bowen A, Young G, James M. The latest national clinical guideline for stroke: 5th edition. Clin Med. (2017) 17:154–5. doi: 10.7861/clinmedicine.17-2-154

CrossRef Full Text | Google Scholar

29. Salbach NM, Mayo NE, Wood-Dauphinee S, Hanley JA, Richards CL, Côté R. A task-orientated intervention enhances walking distance and speed in the first year post stroke: a randomized controlled trial. Clin Rehabil. (2004) 18:509–19. doi: 10.1191/0269215504cr763oa

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Dean CM, Richards CL, Malouin F. Task-related circuit training improves performance of locomotor tasks in chronic stroke: a randomized, controlled pilot trial. Arch Phys Med Rehabil. (2000) 81:409–17. doi: 10.1053/mr.2000.3839

PubMed Abstract | CrossRef Full Text | Google Scholar

31. French B, Leathley M, Sutton C, McAdam J, Thomas L, Forster A, et al. A systematic review of repetitive functional task practice with modelling of resource use, costs and effectiveness. Health Technol Assess. (2008) 12:iii. doi: 10.3310/hta12300

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Rossignol S, Dubuc R, Gossard J-P. Dynamic sensorimotor interactions in locomotion. Physiol Rev. (2006) 86:89–154. doi: 10.1152/physrev.00028.2005

CrossRef Full Text | Google Scholar

33. Laaksonen K, Kirveskari E, Mäkelä JP, Kaste M, Mustanoja S, Nummenmaa L, et al. Effect of afferent input on motor cortex excitability during stroke recovery. Clin Neurophysiol. (2012) 123:2429–36. doi: 10.1016/j.clinph.2012.05.017

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M. Developing and Evaluating Complex Interventions: New Guidance. (2006). Available online at: https://mrc.Ukri.Org/documents/pdf/complex-interventions-guidance/ (accessed February 2, 2021).

PubMed Abstract | Google Scholar

35. Langhorne P, Bernhardt J, Kwakkel G. Stroke rehabilitation. Lancet. (2011) 377:1693–702. doi: 10.1016/S0140-6736(11)60325-5

CrossRef Full Text | Google Scholar

36. Alexander MP. Stroke rehabilitation outcome. A potential use of predictive variables to establish levels of care. Stroke. (1994) 25:128–34. doi: 10.1161/01.STR.25.1.128

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Clark L, Fairhurst C, Torgerson DJ. Allocation concealment in randomised controlled trials: are we getting better? BMJ. (2016) 355:i5663. doi: 10.1136/bmj.i5663

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Hill KD, Bernhardt J, McGann AM, Maltese D, Berkovits D. A new test of dynamic standing balance for stroke patients: reliability, validity and comparison with healthy elderly. Physiother Can. (1996) 48:257–62. doi: 10.3138/ptc.48.4.257

CrossRef Full Text | Google Scholar

39. Thabane L, Ma J, Chu R, Cheng J, Ismaila A, Rios LP, et al. A tutorial on pilot studies: the what, why and how. BMC Med Res Methodol. (2010) 10:1. doi: 10.1186/1471-2288-10-1

CrossRef Full Text | Google Scholar

40. Browne RH. On the use of a pilot sample for sample size determination. Stat Med. (1995) 14:1933–40. doi: 10.1002/sim.4780141709

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Pomeroy VM, Cooke E, Hamilton S, Whittet A, Tallis RC. Development of a schedule of current physiotherapy treatment used to improve movement control and functional use of the lower limb after stroke: a precursor to a clinical trial. Neurorehabil Neural Repair. (2005) 19:350–9. doi: 10.1177/1545968305280581

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Aries AM. Somatosensory stimulation to improve lower-limb recovery after stroke (PhD Thesis). Keele University, Newcastle-under-Lyme, Staffordshire (2020).

Google Scholar

43. Hoffmann TC, Glasziou PP, Boutron I, Milne R, Perera R, Moher D, et al. Better reporting of interventions: template for Intervention Description and Replication (TIDieR) checklist and guide. Gesundheitswesen. (2016) 78:175–88. doi: 10.1136/bmj.g1687

PubMed Abstract | CrossRef Full Text | Google Scholar

44. O'Cathain A, Croot L, Duncan E, Rousseau N, Sworn K, Turner KM, et al. Guidance on how to develop complex interventions to improve health and healthcare. BMJ Open. (2019) 9:e029954. doi: 10.1136/bmjopen-2019-029954

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Hunter SM, Hammett L, Ball S, Smith N, Anderson C, Clark A, et al. Dose-response study of mobilisation and tactile stimulation therapy for the upper extremity early after stroke: a phase 1 trial. Neurorehabil Neural Repair. (2011) 25:314–22. doi: 10.1177/1545968310390223

CrossRef Full Text | Google Scholar

46. Ballinger C, Ashburn A, Low J, Roderick P. Unpacking the black box of therapy—a pilot study to describe occupational therapy and physiotherapy interventions for people with stroke. Clin Rehabil. (1999) 13:301–9. doi: 10.1191/026921599673198490

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Watanabe I, Okubo J. The role of the plantar mechanoreceptor in equilibrium control. Ann N Y Acad Sci. (1981) 374:855–64. doi: 10.1111/j.1749-6632.1981.tb30926.x

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Kennedy PM, Inglis JT. Distribution and behaviour of glabrous cutaneous receptors in the human foot sole. J Physiol. (2002) 538:995–1002. doi: 10.1113/jphysiol.2001.013087

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Corbin DM, Hart JM, Palmieri-Smith R, Ingersoll CD, Hertel J. The effect of textured insoles on postural control in double and single limb stance. J Sport Rehabil. (2007) 16:363–72. doi: 10.1123/jsr.16.4.363

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Wiener J, Foley N, Peireira S, Cotoi A, Chow J, Janssen S, et al. Mobility and the Lower Extremity. Ebrsr: Evidence-Based Review of stroke Rehabilitation, Review of Stroke Rehabilitation. (2018). p. 1–191. Available online at: http://www.Ebrsr.Com/evidence-review/9-mobility-and-lower-extremity (accessed April 30, 2021).

51. Meyer BC, Lyden PD. The modified national institutes of health stroke scale: its time has come. Int J Stroke. (2009) 4:267–73. doi: 10.1111/j.1747-4949.2009.00294.x

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Mehrholz J, Wagner K, Rutte K, Meissner D, Pohl M. Predictive validity and responsiveness of the functional ambulation category in hemiparetic patients after stroke. Arch Phys Med Rehabil. (2007) 88:1314–9. doi: 10.1016/j.apmr.2007.06.764

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Bernhardt J, Hayward KS, Dancause N, Lannin NA, Ward NS, Nudo RJ, et al. A stroke recovery trial development framework: consensus-based core recommendations from the second stroke recovery and rehabilitation roundtable. Neurorehabil Neural Repair. (2019) 33:959–69. doi: 10.1177/1545968319888642

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Bronner S, Agraharasamakulam S, Ojofeitimi S. Reliability and validity of a new ankle electrogoniometer. J Med Eng Technol. (2010) 35:350–5. doi: 10.3109/03091902.2010.493968

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Tracey EH, Greene AJ, Doty RL. Optimizing reliability and sensitivity of semmes–weinstein monofilaments for establishing point tactile thresholds. Physiol Behav. (2012) 105:982–6. doi: 10.1016/j.physbeh.2011.11.002

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Cameron D, Bohannon RW. Criterion validity of lower extremity motricity index scores. Clin Rehabil. (2000) 14:208–11. doi: 10.1191/026921500675786655

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Fayazi M, Dehkordi SN, Dadgoo M, Salehi M. Test-retest reliability of motricity index strength assessments for lower extremity in post stroke hemiparesis. Med J Islamic Republic Iran. (2012) 26:27–30.

PubMed Abstract | Google Scholar

58. Salbach NM, Mayo NE, Higgins J, Ahmed S, Finch LE, Richards CL. Responsiveness and predictability of gait speed and other disability measures in acute stroke. Arch Phys Med Rehabil. (2001) 82:1204–12. doi: 10.1053/apmr.2001.24907

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Low DC, Dixon SJ. Footscan pressure insoles: accuracy and reliability of force and pressure measurements in running. Gait Posture. (2010) 32:664–6. doi: 10.1016/j.gaitpost.2010.08.002

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Chesnin KJ, Selby-Silverstein L, Besser MP. Comparison of an in-shoe pressure measurement device to a force plate: concurrent validity of center of pressure measurements. Gait Posture. (2000) 12:128–33. doi: 10.1016/S0966-6362(00)00071-0

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Lennon S, Johnson L. The modified rivermead mobility index: validity and reliability. Disabil Rehabil. (2000) 22:833–9. doi: 10.1080/09638280050207884

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Krueger RA, Casey MA. Focus Groups: A Practical Guide for Applied Research. Thousand Oaks, CA: Sage Publications, Inc. (2000).

Google Scholar

63. Braun V, Clarke V. Using thematic analysis in psychology. Qual Res Psychol. (2006) 3:77–101. doi: 10.1191/1478088706qp063oa

CrossRef Full Text | Google Scholar

64. World Health Organization (WHO). How to Use the ICF: A Practical Manual for Using the International Classification of Functioning, Disability and Health (ICF). Exposure draft for comment. Geneva: WHO (2013). Available online at: (accessed April 24, 2021).

65. Sim J, Wright C. Research in Health Care: Concepts, Designs and Methods. Cheltenham: Stanley Thornes (2000).

Google Scholar

66. Kwakkel G, Lannin NA, Borschmann K, English C, Ali M, Churilov L, et al. Standardized measurement of sensorimotor recovery in stroke trials: consensus-based core recommendations from the stroke recovery and rehabilitation roundtable. Neurorehabil Neural Repair. (2017) 31:784–92. doi: 10.1177/1545968317732662

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Moriguchi CS, Sato TO, Coury HJCG. Ankle movements during normal gait evaluated by flexible electrogoniometer. / Movimentos do tornozelo durante a marcha normal avaliados por eletrogoniometria flexível. Brazil J Phys Ther. (2007) 11:205–11. doi: 10.1590/S1413-35552007000300006

CrossRef Full Text | Google Scholar

68. Connell LA, Tyson SF. Measures of sensation in neurological conditions: a systematic review. Clin Rehabil. (2012) 26:68–80. doi: 10.1177/0269215511412982

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Suzuki K, Nakamura R, Yamada Y, Handa T. Determinants of maximum walking speed in hemiparetic stroke patients. Tohoku J Exp Med. (1990) 162:337–44. doi: 10.1620/tjem.162.337

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Jacelon CS, Imperio K. Participant diaries as a source of data in research with older adults. Qual Health Res. (2005) 15:991–7. doi: 10.1177/1049732305278603

PubMed Abstract | CrossRef Full Text | Google Scholar

71. McMahon SA, Winch PJ. Systematic debriefing after qualitative encounters: an essential analysis step in applied qualitative research. BMJ Global Health. (2018) 3:e000837. doi: 10.1136/bmjgh-2018-000837

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Fischer CT. Bracketing in qualitative research: conceptual and practical matters. Psychother Res. (2009) 19:583–90. doi: 10.1080/10503300902798375

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Copeland D, Liska H. Implementation of a post-code pause: extending post-event debriefing to include silence. J Trauma Nurs. (2016) 23:58–64. doi: 10.1097/JTN.0000000000000187

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Sim J. Should treatment effects be estimated in pilot and feasibility studies? Pilot Feasibility Stud. (2019) 5:107. doi: 10.1186/s40814-019-0493-7

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Eldridge SM, Chan CL, Campbell MJ, Bond CM, Hopewell S, Thabane L. Consort 2010 statement: extension to randomised pilot and feasibility trials. BMJ. (2016) 355:1–29. doi: 10.1186/s40814-016-0105-8

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Krippendorff K. Content Analysis: An Introduction to Its Methodology, 3rd ed. Thousand Oaks, CA: Sage Publications (2013).

Google Scholar

77. Ziebland S, McPherson A. Making sense of qualitative data analysis: an introduction with illustrations from dipex (personal experiences of health and illness). Med Educ. (2006) 40:405–14. doi: 10.1111/j.1365-2929.2006.02467.x

PubMed Abstract | CrossRef Full Text | Google Scholar

78. ICO. Guide to the General Data Protection Regulation (GDPR). Information Commissioner's Office (2020). Available online at: (accessed February 2, 2021).

79. Tilson JK, Sullivan KJ, Cen SY, Rose DK, Koradia CH, Azen SP, et al. Meaningful gait speed improvement during the first 60 days poststroke: minimal clinically important difference. Phys Ther. (2010) 90:196–208. doi: 10.2522/ptj.20090079

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Vickers AJ. Underpowering in randomized trials reporting a sample size calculation. J Clin Epidemiol. (2003) 56:717–20. doi: 10.1016/S0895-4356(03)00141-0

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Sim J, Lewis M. The size of a pilot study for a clinical trial should be calculated in relation to considerations of precision and efficiency. J Clin Epidemiol. (2012) 65:301–8. doi: 10.1016/j.jclinepi.2011.07.011

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Bhatt A. International council for harmonisation e6(r2) addendum: challenges of implementation. Perspect Clin Res. (2017) 8:162–6. doi: 10.4103/picr.PICR_124_17

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Sheron N, Moore M, Ansett S, Parsons C, Bateman A. Developing a 'traffic light' test with potential for rational early diagnosis of liver fibrosis and cirrhosis in the community. Br J General Prac. (2012) 62:616–24. doi: 10.3399/bjgp12X654588

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Meijel B, Hamersveld S, Gool R, der Bijl J, Harten P. Effects and feasibility of the 'traffic light method for somatic screening and lifestyle' in patients with severe mental illness: a pilot study. Perspect Psychiatric Care. (2015) 51:106–13. doi: 10.1111/ppc.12071

CrossRef Full Text | Google Scholar

85. Kerr A, Rowe P, Clarke A, Chandler E, Smith J, Ugbolue C, et al. Biomechanical correlates for recovering walking speed early after stroke. Is the tibia to vertical angle a distinctive therapy target? Gait Posture. (2019) 73:277–8. doi: 10.1016/j.gaitpost.2019.07.150

CrossRef Full Text | Google Scholar

86. Hunter SM, Johansen-Berg H, Ward N, Kennedy NC, Chandler E, Weir CJ, et al. Functional strength training and movement performance therapy for upper limb recovery early poststroke-efficacy, neural correlates, predictive markers, and cost-effectiveness: fast-indicate trial. Front Neurol. (2018) 8:733. doi: 10.3389/fneur.2017.00733

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Mares K, Cross J, Clark A, Vaughan S, Barton GR, Poland F, et al. Feasibility of a randomized controlled trial of functional strength training for people between six months and five years after stroke: festivals trial. Trials. (2014) 15:1–11. doi: 10.1186/1745-6215-15-322

PubMed Abstract | CrossRef Full Text | Google Scholar

88. Pomeroy VM, Rowe P, Clark A, Walker A, Kerr A, Chandler E, et al. A randomized controlled evaluation of the efficacy of an ankle-foot cast on walking recovery early after stroke: swift cast trial. Neurorehabil Neural Repair. (2016) 30:40–8. doi: 10.1177/1545968315583724

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Yang YR, Wang RY, Lin KH, Chu MY, Chan RC. Task-oriented progressive resistance strength training improves muscle strength and functional performance in individuals with stroke. Clin Rehabil. (2006) 20:860–70. doi: 10.1177/0269215506070701

PubMed Abstract | CrossRef Full Text | Google Scholar

90. Sekhon M, Cartwright M, Francis JJ. Acceptability of healthcare interventions: an overview of reviews and development of a theoretical framework. BMC Health Serv Res. (2017) 17:88. doi: 10.1186/s12913-017-2031-8

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Lancaster GA, Dodd S, Williamson PR. Design and analysis of pilot studies: recommendations for good practice. J Eval Clin Prac. (2004) 10:307–12. doi: 10.1111/j.0.2002.384.doc.x

PubMed Abstract | CrossRef Full Text | Google Scholar

92. Collen FM, Wade DT, Bradshaw CM. Mobility after stroke: reliability of measures of impairment and disability. Int Disabil Stud. (1990) 12:6–9. doi: 10.3109/03790799009166594

PubMed Abstract | CrossRef Full Text | Google Scholar

93. Johnson L, Selfe J. Measurement of mobility following stroke: a comparison of the modified rivermead mobility index and the motor assessment scale. Physiotherapy. (2004) 90:132–8. doi: 10.1016/

CrossRef Full Text | Google Scholar

94. Busse M, Tyson SF. How many body locations need to be tested when assessing sensation after stroke? An investigation of redundancy in the rivermead assessment of somatosensory performance. Clin Rehabil. (2009) 23:91–5. doi: 10.1177/0269215508097296

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Marigold DS, Eng JJ, Tokuno CD, Donnelly CA. Contribution of muscle strength and integration of afferent input to postural instability in persons with stroke. Neurorehabil Neural Repair. (2004) 18:222–39. doi: 10.1177/1545968304271171

PubMed Abstract | CrossRef Full Text | Google Scholar

96. Connell LA, Lincoln NB, Radford KA. Somatosensory impairment after stroke: frequency of different deficits and their recovery. Clin Rehabil. (2008) 22:758–67. doi: 10.1177/0269215508090674

PubMed Abstract | CrossRef Full Text | Google Scholar

97. Teare MD, Dimairo M, Shephard N, Hayman A, Whitehead A, Walters SJ. Sample size requirements to estimate key design parameters from external pilot randomised controlled trials: a simulation study. Trials. (2014) 15:264. doi: 10.1186/1745-6215-15-264

PubMed Abstract | CrossRef Full Text | Google Scholar

98. Moher D, Hopewell S, Schulz KF, Montori V, Gøtzsche PC, Devereaux PJ, et al. Consort 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials. Int J Surg. (2012) 10:28–55. doi: 10.1016/j.ijsu.2011.10.001

PubMed Abstract | CrossRef Full Text | Google Scholar

99. Nowell LS, Norris JM, White DE, Moules NJ. Thematic analysis: striving to meet the trustworthiness criteria. Int J Qualitative Methods. (2017) 16:1. doi: 10.1177/1609406917733847

CrossRef Full Text | Google Scholar

100. Ardron D, Kendall M. Patient and public involvement in health research: what is it, and why is it so important? Int J Palliative Nurs. (2010) 16:160–2. doi: 10.12968/ijpn.2010.16.4.47778

PubMed Abstract | CrossRef Full Text | Google Scholar

101. Archibald MM. Investigator triangulation: a collaborative strategy with potential for mixed methods research. J Mixed Methods Res. (2016) 10:228–50. doi: 10.1177/1558689815570092

CrossRef Full Text | Google Scholar

Keywords: stroke, rehabilitation, somatosensory stimulation, lower extremity, motor recovery, feasibility study, sensory retraining

Citation: Aries AM, Pomeroy VM, Sim J, Read S and Hunter SM (2021) Sensory Stimulation of the Foot and Ankle Early Post-stroke: A Pilot and Feasibility Study. Front. Neurol. 12:675106. doi: 10.3389/fneur.2021.675106

Received: 02 March 2021; Accepted: 17 May 2021;
Published: 05 July 2021.

Edited by:

Margit Alt Murphy, University of Gothenburg, Sweden

Reviewed by:

Trisha Kesar, Emory University, United States
Anna Danielsson, University of Gothenburg, Sweden

Copyright © 2021 Aries, Pomeroy, Sim, Read and Hunter. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Alison M. Aries,