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ORIGINAL RESEARCH article

Front. Rehabil. Sci., 05 November 2025

Sec. Strengthening Rehabilitation in Health Systems

Volume 6 - 2025 | https://doi.org/10.3389/fresc.2025.1541508

This article is part of the Research TopicAdvancements and Optimization of Evidence-Based Approaches in Pain ManagementView all 13 articles

Clinical and engagement efficacy of a virtual musculoskeletal integrated practice unit in health system employees: aggregate and comparative results from two employers


Austin G. CrossAustin G. Cross1Usmaan Zunnu RainUsmaan Zunnu Rain2Eric C. Makhni
Eric C. Makhni2*Emily N. SchnettlerEmily N. Schnettler3Prakash JayakumarPrakash Jayakumar4Sameer BerrySameer Berry5Jeff VandenboomJeff Vandenboom2Courtland Keteyian,Courtland Keteyian2,5Russell DayRussell Day2Daniel VerhagenDaniel Verhagen6Michael SchumacherMichael Schumacher6Joseph KucksdorfJoseph Kucksdorf6Bruce Muma,
Bruce Muma2,7
  • 1Texas Tech University Health Sciences Center, Lubbock, TX, United States
  • 2Henry Ford Health, Detroit, MI, United States
  • 3Michigan State University, East Lansing, MI, United States
  • 4Massachusetts Institute of Technology, Cambridge, MA, United States
  • 5University of Michigan, Ann Arbor, MI, United States
  • 6Emplify Health, Green Bay, WI, United States
  • 7Wayne State University School of Medicine, Detroit, MI, United States

Introduction: Integrated Practice Units are whole-person models of care designed to deliver a comprehensive range of treatment strategies centered around a patient's preferences, values, and needs. The purpose of this study was to assess the efficacy of a virtual IPU (V-IPU) for employees of two large health systems experiencing back, neck or joint pain. Specifically, we evaluated improvements in pain interference, physical health, and user satisfaction/experience.

Methods: This was a prospective cohort study with a total of 167 employees from two health systems who were recruited through e-mail outreach and completed a brief health assessment, including patient reported outcome measures (PROMs) for physical, emotional, and pain health. Upon sign-up, employees began a 12-week multidisciplinary program consisting of musculoskeletal (MSK) physician telehealth treatment and oversight, supervised one-to-one physical therapy, registered dietitian counseling, health coaching, and platform to in-person specialty services when clinically appropriate. National Institutes of Health (NIH) Patient-Reported Outcomes Measurement Information System (PROMIS) scores for physical health, mental health, and pain interference were assessed at intake, 6-weeks, and 12-weeks after program initiation. Net promoter score (NPS) was measured to evaluate participant experience and satisfaction with the program.

Results: The average age was 50.56 years, and a large majority of responders were female (89.2%). There were clinically meaningful improvements for PROMIS measures of physical health, mental health and pain interference (5.6, 4.4 and 6.9 points, respectively). The Net Promoter Score was 85 for engaged individuals. Additionally, the V-IPU was successful in connecting employees to additional surgical-avoiding services offered by the employer and which complemented the digital participation of the V-IPU.

Conclusion: The V-IPU improves health outcomes and care coordination for health system employees. These findings support the use of virtual multidisciplinary models to enhance access and outcomes in employer-based health initiatives.

Introduction

Musculoskeletal (MSK) conditions, such as those of the back, neck, and joints, continue to be among the most costly to self-insured employers, with regards to both lost productivity and costs of care (1) and despite well-intentioned investments through wellness benefits programs (2). These costs, primarily borne by employees and employers, are compounded by a general trend within US and global health care of consolidation and inflation-impacted costs of care (3). In 2016 alone, the cost of neck and back issues was $134.5 billion, which was the highest rate of spending for both employers and employees out of 154 conditions (4).

Traditional management of musculoskeletal conditions involves care delivery via fee-for-service pathways prioritizing quantity over quality and volume over evidence-based treatment strategies providing improved health outcomes, tailored to the patient's needs. Recent studies demonstrate significant over-utilization of costly interventions (including those that lack sufficient evidence, such as the use of biologic injections, advanced imaging, and arthroscopic washout of the knee for osteoarthritis) within fee-for-service settings (5). Studies estimate up to 30% of joint replacement (6) and 50% of back/spine (7) surgeries may be performed inappropriately leading to sub-optimal outcomes, experience, and failure to meet patient expectations.

One strategy to combat this overutilization is the integrated practice unit (IPU), as described by Porter and Lee (8). There have been a growing number of IPUs developed across medical specialties including those designed for longitudinal condition-based management of musculoskeletal conditions. Musculoskeletal IPUs have demonstrated value through improved health outcomes benefiting patients at lower cost (9). Compared to traditional fee-for-service care, IPUs are differentiated by rigorous measurement and assessment of patient reported outcome measures (PROMs)—which are patient-centered assessments of core health domains including capability (valued life activities), symptom intensity, cost measurement and psychosocial health—and multidisciplinary management of the disease/condition. Unfortunately, very few IPUs have been implemented due to logistical and administrative barriers in their delivery.

These challenges have provided an opportunity for leveraging digital health (telehealth and remote care delivery solutions) to enhance multidisciplinary team-based care, appropriate treatment selection, data-driven decision support and care coordination that exemplifies the multi-faceted benefits of IPU-based care. Further, there is a critical need for integrating such digitally enabled care with in-person services to ensure cohesive transition from virtual care to local, in-person specialty non-surgical and surgical care. While many digital solutions focused on exercise therapy are currently on the market, most rely on technology-lead, asynchronous care, with limited clinician oversight or interaction. There is a scarcity of solutions led by clinical care teams of physicians and physical therapists providing real-time care and counseling as is performed in an IPU.

We sought to understand the impact of a Virtual-first IPU (V-IPU; Protera Health, Troy, MI) focused on providing whole-person, multidisciplinary, musculoskeletal care in an employee population of two large self-insured health systems. Our primary objective was to assess change in PROM scores measuring capability (valued life activities) and symptom intensity. Secondarily, we assessed level of improvement in mental health, patient activation (defined as the knowledge, skills, and confidence in engaging in one's health and health care), and patient experience. Finally, we assessed process-level measures including engagement frequency, level of care coordination related to in-person health services and appointments. Positive findings could justify use of a V-IPU model for other self-insured employer populations around the country.

Methods

This was a prospective cohort study with IRB approval, and was conducted at two health systems, Health System A (Henry Ford Health System, Detroit, MI) and Health System B (Bellin Health, Green Bay, WI). Employees with active symptoms of back, neck, or joint pain self-enrolled into the V-IPU in response to email awareness of the program offering. The email contained a link to the program sign up page and intake health assessment (including PROMs). Employees were recruited into the study through an e-mail posting by the employer, with a link to the program sign up page and intake health assessment (including PROMs). Employees agreeing to experience the V-IPU completed an intake survey that collected employee information such as demographics, habits, and condition, as well as baseline PROM scores and other health measures, such as anxiety and depression symptoms. After completing the intake survey, the employee was contacted by phone and scheduled for a virtual enrollment visit with the care team from the V-IPU. This care team consisted of a licensed MSK physician specialist, doctor of physical therapy (DPT), registered dietitian, and health coach. Each employee underwent a series of telehealth counseling appointments with the care team providers in an individualized program based on the employee's condition and symptom severity. The desired outcome was for the employee to complete a digitally-based exercise program while gaining disease education. Moreover, the educational content delivered were intended to improve the employees' “activation”, consisting of understanding, skills, and confidence in making positive lifestyle decisions (i.e., around tobacco use, opioid use, nutrition, mental health, and other wellness habits). The employee underwent a check-in every six weeks to ensure that PROMs were improving, and the patient was satisfied. Adjustments were made accordingly.

The V-IPU provided highly coordinated care involving a range of treatment strategies centered on PROMs. These quality metrics provide quantitative reporting about patient health across numerous domains, such as physical function, pain interference (impact of pain on quality of life), and mood. In an effort to standardize the care delivery, a single care team was assigned to this employee population. As part of the V-IPU, PROMs are collected at baseline, mid-program (approximately 6 weeks), and conclusion of the program (approximately 12 weeks) (Table 1). The care program is individualized according to PROMs in numerous ways:

• Treatment selection: patients with PROM scores in “moderate” or “severe” score ranges received accordingly more intensive oversight and participation by a musculoskeletal physician, in addition to the standard of care treatment delivered by the V-IPU care team (physical therapy, nutrition counseling, health coaching).

• Predictive care modeling: in accordance with current literature (10, 11), patients with PROM scores in the normal mild ranges for function and pain were selectively treated with the non-operative model through the V-IPU, while those in the moderate and severe ranges were more readily connected to in-person specialty care for surgical evaluation if not showing early improvement with the non-operative program. For example, a patient with known advanced osteoarthritis of the knee and “severe” domain scores for pain and/or function would be more readily referred to a partner (in-person) orthopedic surgeon from the V-IPU platform, as the likelihood of success following surgical treatment would be higher compared to patients with similar degree of osteoarthritis but with normal or mild PROM domain scores (12).

• Educational programming: Certain PROM domains were used to individualize educational programming. Those with positive screens on anxiety screens (GAD-2) or moderate/severe findings for pain interference were provided educational programming that focused on pain coping techniques. This content was recorded by licensed pain psychologists and integrated with the patient's application experience.

• Activation and Engagement: to improve lifestyle-modification and self-care techniques with patients, the V-IPU assessed baseline activation scores to identify those with low activation who would benefit from more intense oversight by the V-IPU care team, as opposed to those with high baseline scores who would be well-served through a lower-touch approach. Activation was assessed through a de-novo assessment tool, and those scoring less than 15 points were provided with more frequent touchpoints to ensure compliance with and ability to extract practical knowledge from educational videos including personalized exercises, educational resources within the 12 week program.


Table 1
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Table 1. Variables defined.

A core principle of the V-IPU intervention was to improve participant self-guided exercise and education about his/her condition and exercise program. To achieve this, each participant received weekly “nudges” which consisted of reminders for exercise compliance, notification of new exercise assignments, and assignment/notification of educational content. Most of the education content was video-based and presented by multi-disciplinary specialists, such as physical therapists, sleep specialists, orthopedic surgeons, pain psychologists, registered dietitians, and obesity physicians. Each educational video content was approximately 2–4 min in length, and 1–2 different videos were assigned each week.

Participation in the program was designed to be approximately 3 months long. Once enrolled, the employee would receive weekly or biweekly supervised physical therapy encounters and be expected to complete home-based self-guided sessions through the web portal exercise program interface. PROMs and clinical outcomes were assessed at intake as well as at the midpoint (6-weeks) and conclusion of the engagement. Employees who experienced symptom improvement earlier and as evident by PROM scores were offered an early termination at the program midpoint if they felt that they had sufficiently improved. Employees who sustained injury exacerbation, acute injury, or any other concerning symptoms were escalated to in-person specialist through the health platform and with assistance of the v-IPU care team.

Several different PROMs and clinical outcomes were measured through the engagement and were collected electronically through the V-IPU online interface. These measures can be seen in Table 1. The core domains included physical health, emotional health, pain health, and activation (defined as the understanding, skills, and confidence needed for making positive lifestyle decisions). National Institutes of Health (NIH) Patient-Reported Outcomes Measurement Information System (PROMIS) (13) tools were used for many of these assessments. The threshold of 2.5 points was defined to be the minimum clinically important difference (MCID) (14, 15).

Additionally, the impact of the digital solution on in-network care coordination was also assessed. This included ability to steer employees toward in-person providers for orthopedic consultation as well as to guide employees to preferred in-person health benefits services. These services were prioritized by the employer due to the promotion of non-surgical treatment for back and joint pain and included massage therapy, chiropractor services, acupuncture, along with nutrition and lifestyle medicine services.

Finally, engagement and experience were measured throughout the intervention through electronic logs that tracked webportal usage for exercises and educational content. Engagement metrics included number of care team appointments attended, number of self-guided exercise days completed (as defined by any day in which an exercise was accessed by the participant), total active days on the web portal, number of educational videos accessed, and proportion of participants that viewed/accessed the in-network services. As this was a prospective cohort study, no comparative statistical analyses were performed. Any missing data secondary to attrition was not calculated in the data analysis in an intention-to-treat methodology.

Results

One-hundred and sixty-seven employees completed the initial intake form and care team virtual visit (Age, Mean: 50.56, SD: 11.87 Female n = 149, 89.2%) (Table 2). The most common primary condition was back pain (n = 79, 47%). The average body mass index, or BMI, was 29.6, and 19.4% had a BMI > 35 (defined as Type-II obesity).

Table 2
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Table 2. Population demographics.

Of the actively engaged employees that completed the program, there were significant improvements in all three domains of physical, mental, and pain health (Figures 1A–C). For physical health, the average NIH PROMIS Global-10 Physical Health component score change was 5.6, which exceeded (14) the threshold for minimum clinically important difference (MCID) of 2.5 points. For pain interference (impact of pain on an individual's quality of life) and mental health, this improvement was approximately 6.9 points and 4.4 points, respectively. For GAD-2 anxiety screen (Figure 2), the average score improved from 0.92 to 0.59, which is a 35.7% score improvement. When considering the PHQ-2 depression screen, the average score improved from 0.66 to 0.40, which is a 40.0% score improvement. Finally, for patient activation (Figure 3), there was an improvement from 15 to 17.91, denoting a 19.4% improvement.

Figure 1
Three line graphs depict health improvements over time. Graph (a) shows PROMIS Physical Health scores rising from forty-five to fifty over twelve weeks. Graph (b) shows PROMIS Mental Health scores increasing from forty-nine to fifty-three in the same period. Graph (c) illustrates decreases in PROMIS Pain Interference and VAS Pain Score, with pain interference dropping from fifty-six to fifty and pain score from five to three over twelve weeks.

Figure 1. (a) Average change in PROMIS global-10 physical health scores for employee cohort over a 12-week period, which is shown to exceed the target clinical improvement of 47.4. (b) Average change in PROMIS Global-10 Mental Health scores for employee cohort over a 12-week period, which is shown to exceed the target clinical improvement of 51.5. (c) Average change in PROMIS Global-10 Pain Interference and VAS scores for employee cohort over a 12-week period, which is shown to exceed the target clinical improvement of 54.4. SOURCE Image credit; Dr. Eric Makhni.

Figure 2
Line graph titled \

Figure 2. Average change in PHQ-2 (depression) and GAD-2 (anxiety) scores reported by employee cohort over a 12-week period. Black represents Patient Health Questionnaire-2 (PHQ-2) scores; Grey represents Generalized Anxiety Disorder-2 (GAD-2) scores. SOURCE Image credit; Dr. Eric Makhni.

Figure 3
Line chart titled “PHQ2 and GAD2 Improvement” depicting average scores over time. PHQ2 scores in blue decrease from 0.6 at 0 weeks to 0.4 at 6 weeks, stabilizing at 0.4 at 12 weeks. GAD2 scores in red decrease from 0.5 at 0 weeks to 0.3 at 6 weeks, dropping further to 0.2 at 12 weeks.

Figure 3. Average change in activation scores for employee cohort over a 12-week period, which is shown to exceed the target clinical improvement of 17.5. SOURCE Image credit; Dr. Eric Makhni.

When considering engagement (Table 3), metrics centered around utilization of the web portal and associated services. On average, of the cohort that completed the engagement, participants logged into the portal approximately 3.36 times per week, with an average of 43.67 logins total. Participants viewed an averaged 1.61 (per week) and 19.36 total pieces of educational material over the engagement period. The Net Promoter Score (a quantitative measure) of this cohort was 85, indicating very high levels of satisfaction with the program (16).

Table 3
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Table 3. Webportal engagement metrics.

As part of the engagement, multiple non-surgical services were made available and promoted to employees, including acupuncture, chiropractor, massage, and lifestyle management services. Additionally, if there was clinical concern, the participant was connected to in-person orthopedic physicians for specialty consultation.

Discussion

Multidisciplinary team-based care for back, neck, and joint pain that provides a comprehensive range of non-operative strategies through a virtual format leads to improved health related outcomes, patient experience, patient activation, care coordination [and other utilization metrics], for employees experiencing a range of musculoskeletal conditions. These improvements signal opportunities for not only improving health and wellness for populations of employees but also substantial reductions in costs through highly coordinated care that averts patients from specialty care while enabling appropriate resource utilization.

Notably, there are a growing number of companies developing physical therapy via digital health platforms (15). While studies have demonstrated their cost-effectiveness alongside reductions in medical claims (18), few have evaluated efficacy utilizing a comprehensive range of PROMs, patient experience, patient activation, and metrics related to in-network care coordination. More importantly, physical therapy is only one of several treatment components of the V-IPU.

We utilized a wide range of validated PROMs as our principal metric of meaningful improvement, which unlike process level measures, provide a gauge of care quality based on the assessment of important health domains (19). Further, we utilized well-established thresholds for improvement applied to these validated instruments to define the level of impact. The National Institutes of Health (NIH) PROMIS assessment tools used in this study are fast becoming validated tools of choice that provide domain-level health assessment with increased precision and efficiency compared to legacy instruments (20). For instance, PROMIS Pain Interference, used as a pain measure, assesses the impact of pain on an individual's quality of life. Scores generated using this tool are substantially more meaningful and relevant to the impact of musculoskeletal disease on an individual in the context of their lived experience with their condition than traditional pain scoring using a “0–10” visual analog scale (VAS) (21). Ultimately, engagement with the V-IPU leads to clinically meaningful improvements across the domains of capability, symptom intensity, alongside mental health.

The V-IPU also demonstrates improved patient activation over the course of the 12-week program, which has also been linked to improved physical function in patients with back pain (22). The concept of activation encompasses aspects of resiliency, behavior change, and agency—taking responsibility for one's health. Our findings suggest the opportunity to improve agency within a relatively short period of time through the delivery of high-quality virtual care. While a modest number of studies have utilized patient activation measures in musculoskeletal research, to our knowledge, this is the first study to apply this concept in the context of virtual comprehensive care for patients with musculoskeletal conditions.

Our work also evaluates the ability of the platform to coordinate connections and transitions of care for employees participating in the program to in-person services. This component is lacking in several “plug-and-play” digital health solutions that aren't integrated into health systems and are thus limited in enabling a level of care transition to in-person health services required to truly deliver the most appropriate treatment at the appropriate time (23). Protera Health was designed to solve for this deficiency using a platform component that was accessible for participants and formed through collaboration with the employer, similar to previously reported programs in the literature (24). Our findings demonstrated both a successful ability of the platform to coordinate in-person care needs for participants to orthopedic specialty care, as well as bolster the utility of non-surgical, non-specialty care and avoiding surgery.

This study is not without limitations. The participant cohort was from two health system employers, and the results may not be generalizable to all employee populations. However, the health systems in this study encompasses a large regional geography with an ethnically and socioeconomically diverse population. Another limitation was the inability to correlate engagement with impact on total cost of care or orthopedic cost of care. Isolating musculoskeletal costs of care can be extremely challenging when considering the need for longitudinal assessment, comparison groups, and sophisticated claims-based analytics. There were additional limitations, including lack of a control group or ability to control for selection bias (i.e., enrollment of employees that were self-motivated to complete the program). Participant digital literacy, socioeconomic status and geography may influence patients ability to access a digital platform, however recent literature suggest that digital telehealth solutions can be effective in older-aged orthopaedic patients (25). While there was no correlation of PROMs to clinical outcomes (i.e., radiographs, surgical findings, etc.), the inclusion of PROMs allows for patient-centered ratings of health that is considered to be the most relevant outcomes available. Also, it should be noted that a separate analysis for patients lost to attrition or those who went onto surgical intervention were not studied. Finally, the study had a relatively small sample size and recruited from two employers, which may limit the generalizability of the study findings. Future research considerations would address these limitations.

In summary, a V-IPU can achieve improved health-related outcomes, patient experience, activation, and highly coordinated care between a virtual format with in-person health services. The use of PROMs and measures of patient activation are both important for decision support within this model alongside improvement in the quality of care delivered. Further evaluation, including comparative effectiveness studies, of this novel and comprehensive approach to common musculoskeletal conditions is required to evolve the model and scale it across different archetypes of the health system.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.

Ethics statement

The studies involving humans were approved by IRB #575 HFHS. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.

Author contributions

AC: Writing – review & editing. UR: Writing – review & editing. EM: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. ES: Data curation, Formal analysis, Writing – review & editing, Writing – original draft. PJ: Writing – original draft. SB: Writing – review & editing. JV: Methodology, Writing – review & editing, Conceptualization, Investigation. CK: Conceptualization, Writing – review & editing, Investigation, Methodology. RD: Writing – review & editing. DV: Writing – review & editing. MS: Writing – review & editing. JK: Writing – review & editing. BM: Conceptualization, Investigation, Methodology, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. Study sponsored by Protera Health, Inc.

Conflict of interest

The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: EM: AAOS: Board or committee member 22. Bell L, Cornish P, Gauthier R, Kargus C, Rash J, Robbins R, Ward S, Poulin PA.

The remaining 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.

Correction Note

This article has been corrected with minor changes. These changes do not impact the scientific content of the article.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

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Publisher's note

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References

1. Roomes D, Abraham L, Russell R, Beck C, Halsby K, Wood R, et al. Quantifying the employer burden of persistent musculoskeletal pain at a large employer in the United Kingdom: a non-interventional, retrospective study of Rolls-Royce employee data. J Occup Environ Med. (2022) 64(3):e145–54. doi: 10.1097/JOM.0000000000002468

PubMed Abstract | Crossref Full Text | Google Scholar

2. Umland B, Patel S, Watts T. US. health news: health benefit cost expected to rise 5.4% in 2024 [Mercer web site]. (2023). Available online at: https://www.mercer.com/en-us/insights/us-health-news/health-benefit-cost-expected-to-rise-54-in-2024-mercer-survey/#:∼:text=US%20employers%20expect%20total%20health,Employer%2DSponsored%20Health%20Plans%202023 (accessed September 23, 2023).

Google Scholar

3. Jeurissen P, Hasan R, den Besten M, Cylus J. Health System Effects of Economy-Wide Inflation: How Resilient are European Health Systems? Copenhagen: European Observatory on Health Systems and Policies (2024).

Google Scholar

4. Dieleman JL, Cao J, Chapin A, Chen C, Li Z, Liu A, et al. US health care spending by payer and health condition, 1996–2016. JAMA. (2020) 323(9):863–84. doi: 10.1001/jama.2020.0734

PubMed Abstract | Crossref Full Text | Google Scholar

5. Thorlund JB, Juhl CB, Roos EM, Lohmander LS. Arthroscopic surgery for degenerative knee: systematic review and meta-analysis of benefits and harms. Br J Sports Med. (2015) 49(19):1229–35. doi: 10.1136/bjsports-2015-h2747rep

PubMed Abstract | Crossref Full Text | Google Scholar

6. Riddle DL, Jiranek CA, Hayes CW. Use of a validated algorithm to judge the appropriateness of total knee arthroplasty in the United States: a multicenter longitudinal cohort study. Arthritis Rheumatol. (2014) 66(8):2134–43. doi: 10.1002/art.38685

PubMed Abstract | Crossref Full Text | Google Scholar

7. Slotkin JR, Ross OA, Coleman RM, Ryu J. Why GE, Boeing, Lowe’s, and walmart are directly buying health care for employees [harvard business review web site]. (2017). Available online at: https://hbr.org/2017/06/why-ge-boeing-lowes-and-walmart-are-directly-buying-health-care-for-employees (accessed September 23, 2023).

Google Scholar

8. Porter ME, Lee THM. Integrated practice units: a playbook for health care leaders. N Engl J Med. (2021) 2(1):1–17. doi: 10.1056/CAT.20.0237

Crossref Full Text | Google Scholar

9. Jayakumar P, Mills Z, Triana B, Moxham J, Olmstead T, Wallace S, et al. A model for evaluating total costs of care and cost savings of specialty condition-based care for hip and knee osteoarthritis in an integrated practice unit. Value Health. (2023) 26(9):1363–71. doi: 10.1016/j.jval.2023.05.009

PubMed Abstract | Crossref Full Text | Google Scholar

10. Jayakumar P, Bozic KJ. Advanced decision-making using patient-reported outcome measures in total joint replacement. J Orthop Res. (2020) 38(7):1414–22. doi: 10.1002/jor.24614

PubMed Abstract | Crossref Full Text | Google Scholar

11. Nwachukwu BU, Sullivan SW, Rauck RC, James EW, Burger JA, Altchek DW, et al. Patient-reported outcomes and factors associated with achieving the minimal clinically important difference after ACL reconstruction: results at a mean 7.7-year follow-up. JBJS Open Access. (2021) 6(4):e21.00056. doi: 10.2106/JBJS.OA.21.00056

PubMed Abstract | Crossref Full Text | Google Scholar

12. Park J, Zhong X, Miley EN, Rutledge RS, Kakalecik J, Johnson MC, et al. Machine learning-based predictive models for 90-day readmission of total joint arthroplasty using comprehensive electronic health records and patient-reported outcome measures. Arthroplasty Today. (2023) 25:101308. doi: 10.1016/j.artd.2023.101308

PubMed Abstract | Crossref Full Text | Google Scholar

13. Makhni EC, Meadows M, Hamamoto JT, Higgins JD, Romeo AA, Verma NN. Patient reported outcomes measurement information system (PROMIS) in the upper extremity: the future of outcomes reporting? J Shoulder Elbow Surg. (2017) 26(2):352–7. doi: 10.1016/j.jse.2016.09.054

PubMed Abstract | Crossref Full Text | Google Scholar

14. Fu V, Weatherall M, McNaughton H. Estimating the minimal clinically important difference for the physical component summary of the short form 36 for patients with stroke. J Int Med Res. (2021) 49(12):3000605211067902. doi: 10.1177/03000605211067902

PubMed Abstract | Crossref Full Text | Google Scholar

15. Terwee CB, Peipert JD, Chapman R, Lai JS, Terluin B, Cella D, et al. Minimal important change (MIC): a conceptual clarification and systematic review of MIC estimates of PROMIS measures. Qual Life Res. (2021) 30(10):2729–54. doi: 10.1007/s11136-021-02925-y

PubMed Abstract | Crossref Full Text | Google Scholar

16. Carpenter A. What is Net Promoter Score (NPS): what is a ‘good’ score for me? [qualtricsXM web site]. Available online at: https://www.qualtrics.com/experiencemanagement/customer/goodnet promoterscore/#:∼:text=Respondents%20give%20a%20rating%20between,score%20of%200%20to%206 (Accessed October 10, 2023).

Google Scholar

17. Dantas LO, Barreto RPG, Ferreira CHJ. Digital physical therapy in the COVID-19 pandemic. Braz J Phys Ther. (2020) 24(5):381–3. doi: 10.1016/j.bjpt.2020.04.006

PubMed Abstract | Crossref Full Text | Google Scholar

18. Hinge Health. Digital musculoskeletal impact on medical claims: 136 employer study. {hinge health web site] Available online at: https://go.hingehealth.com/136-employer-study (Accessed October 15, 2023).

Google Scholar

19. Jayakumar P, Heng M, Okelana B, Vrahas M, Rodriguez-Villalon A, Joeris A. Patient-reported outcome measurement in orthopaedic trauma. J Am Acad Orthop Surg. (2023) 31(20):e906–19. doi: 10.5435/JAAOS-D-23-00375

Crossref Full Text | Google Scholar

20. Renard R. Patient-reported outcome measures (PROMs): the gold standard for outcome improvement. [Awell web site]. (2022). Available online at: https://www.awellhealth.com/blog/patient-reported-outcome-measures-proms-the-gold-standard-for-outcome-improvement (Accessed October 8, 2023).

Google Scholar

21. Jildeh TR, Lizzio VA, Meta F, Fidai MS, Kaat AJ, Makhni EC. The correlation between PROMIS pain interference and VAS pain in ambulatory orthopedic patients. Orthopedics. (2018) 41(6):e813–9. doi: 10.3928/01477447-20180912-06

PubMed Abstract | Crossref Full Text | Google Scholar

22. Bronheim RS, Kebaish KM, Jain A, Neuman BJ, Skolasky RL. Worsening pain and quality of life for spine surgery patients during the COVID-19 pandemic: roles of psychological distress and patient activation. N Am Spine Soc J. (2022) 9:100103.35187509

PubMed Abstract | Google Scholar

23. Gajarawala SN, Pelkowski JN. Telehealth benefits and barriers. J Nurse Pract. (2021) 17(2):218–21. doi: 10.1016/j.nurpra.2020.09.013

PubMed Abstract | Crossref Full Text | Google Scholar

24. Bell L, Cornish P, Gauthier R, Kargus C, Rash J, Robbins R, et al. Implementation of the Ottawa hospital pain clinic stepped care program: a preliminary report. Can J Pain. (2020) 4(1):168–78. doi: 10.1080/24740527.2020.1768059

PubMed Abstract | Crossref Full Text | Google Scholar

25. Pliannuom S, Pinyopornpanish K, Buawangpong N, Wiwatkunupakarn N, Mallinson PA, Jiraporncharoen W, et al. Characteristics and effects of home-based digital health interventions on functional outcomes in older patients with hip fractures after surgery: systematic review and meta-analysis. J Med Internet Res. (2024) 26:e49482. doi: 10.2196/49482

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Keywords: virtual care, patient outcomes, integrated musculoskeletal disease management, integrated practice unit, employee health

Citation: Cross AG, Zunnu Rain U, Makhni EC, Schnettler EN, Jayakumar P, Berry S, Vandenboom J, Keteyian C, Day R, Verhagen D, Schumacher M, Kucksdorf J and Muma B (2025) Clinical and engagement efficacy of a virtual musculoskeletal integrated practice unit in health system employees: aggregate and comparative results from two employers. Front. Rehabil. Sci. 6:1541508. doi: 10.3389/fresc.2025.1541508

Received: 20 March 2025; Accepted: 13 August 2025;
Published: 5 November 2025;
Corrected: 7 November 2025.

Edited by:

Marcos Brioschi, University of São Paulo, Brazil

Reviewed by:

Dominique Van De Velde, Ghent University, Belgium

Copyright: © 2025 Cross, Zunnu Rain, Makhni, Schnettler, Jayakumar, Berry, Vandenboom, Keteyian, Day, Verhagen, Schumacher, Kucksdorf and Muma. 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.

Eleni G. Hapidou, McMaster University, Canada S. Fatima Lakha, Toronto Metropolitan University, Canada

*Correspondence: Eric C. Makhni, ZXJpY0Bwcm90ZXJhaGVhbHRoLmNvbQ==

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