Original Research ARTICLE
Fall prevention in community settings: results from implementing Stepping On in three states
- 1Department of Health Promotion and Community Health Sciences, Texas A&M Health Science Center, College Station, TX, USA
- 2Department of Health Promotion and Behavior, The University of Georgia College of Public Health, Athens, GA, USA
- 3Department of Epidemiology, University of California, Irvine, CA, USA
- 4National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA
- 5Department of Statistics, Texas A&M University, College Station, TX, USA
Stepping On is a community-based intervention that has been shown in a randomized controlled trial to reduce fall risk. The Wisconsin Institute for Healthy Aging adapted Stepping On for use in the United States and developed a training infrastructure to enable dissemination. The purpose of this study is to: (1) describe the personal characteristics of Stepping On participants; (2) quantify participants’ functional and self-reported health status at enrollment, and (3) measure changes in participants’ functional and self-reported health status after completing the program. Both survey and observed functional status [timed up and go (TUG) test] data were collected between September 2011 and December 2013 for 366 participants enrolled in 32 Stepping On programs delivered in Colorado, New York, and Oregon. Paired t-tests and general estimating equations models adjusted for socio-demographic factors were performed to assess changes over the program period. Among the 266 participants with pre–post survey data, the average participant age was 78.7 (SD ± 8.0) years. Most participants were female (83.4%), white (96.9%), and in good health (49.4%). The TUG test scores decreased significantly (p < 0.001) for all 254 participants with pre–post data. The change was most noticeable among high risk participants where TUG time decreased from 17.6 to 14.4 s. The adjusted odds ratio of feeling confident about keeping from falling was more than three times greater after completing Stepping On. Further, the adjusted odds ratios of reporting “no difficulty” for getting out of a straight back chair increased by 89%. Intended for older adults who have fallen in the past or are afraid of falling, Stepping On has the potential to reduce the frequency and burden of older adult falls.
Although older adults fall more frequently than younger people, falls are not a normal part of aging (1). Over the past three decades, researchers have identified the major modifiable fall risk factors as well as effective fall interventions (2–4). Some interventions shown to be effective in randomized control trials have been translated into programs and implemented in community settings. One such program is Stepping On, which was developed in Australia (5) and later adapted for use in the United States by the Wisconsin Institute for Healthy Aging (WIHA). The WIHA now provides training for Stepping On leaders as well as an implementation manual and evaluation plan (6, 7).
Stepping On is a group program proven to reduce falls and build confidence in ambulatory older adults who have fallen previously or are afraid of falling (8). A randomized trial of Stepping On found that participants’ risk of falling was approximately 30% lower than those who did not receive the intervention (5). Stevens (2014) noted that a recent analysis also found that Stepping On showed a positive return on investment of 59% (J. Stevens, CDC, personal communication. 8/1/2014).
As described in the WIHA Implementation Manual (6), the program is delivered by a trained leader and a peer leader, who apply adult education and social learning principles to teach older adults about fall risk factors and strategies to reduce their fall risk. The traditional program consists of a group of 10–14 participants attending a 2 hour session held once a week for seven consecutive weeks. Content is provided by the program leaders and by invited health professional “guest experts.” During the program, older adults learn how to improve their balance and strength, increase their safety at home and in the community, and the importance of vision assessment and medication reviews.
In 2011, the Centers for Disease Control and Prevention (CDC) launched a 5-year project funding State Departments of Health to implement Stepping On in selected communities in Oregon, Colorado, and New York. This was part of a larger project in which the CDC funded these states to reduce falls and fall-related injuries by engaging fall prevention coalitions, healthcare organizations, and other partners to implement evidence-based fall prevention programs in clinical and community settings. Stepping On is intended for older adults with moderate fall risk, such as an older adult who fell in the past year or is afraid of falling. Additional information about CDC’s fall prevention initiative can be found elsewhere (9).
This manuscript describes the results of implementing Stepping On during the first 2 years of the project. The purposes were to: (1) describe the personal characteristics and session attendance of Stepping On participants; (2) quantify participants’ functional and self-reported health status at enrollment, and (3) measure changes in participants’ functional and self-reported health status after completing the program.
Materials and Methods
Program Planning and Participant Recruitment
The WIHA offered training for master trainers who, in turn, trained local group facilitators. State program leads (i.e., designated contacts at the State Departments of Health) recommended facilitators who were part of local public health or aging services delivery systems. Following the Implementation Guide (6), state program leads and facilitators worked together to identify appropriate sites for Stepping On programs.
Program participants were recruited through a variety of channels, including distributing flyers, conducting informational presentations, making personal contact in places where older adults congregated such as senior centers, recreation centers, or senior housing or retirement homes, as well as through contacts with their health care providers and television, newspaper, and radio advertisements.
Stepping On staff used a standardized admission form and screening questions to identify appropriate participants. To be eligible, a participant needed to be 60 years of age or older, live independently in the community, and be able to walk without the help of another person or with an assistive device (e.g., walker, scooter). Although some information about chronic illnesses was obtained during the screening process, information on the number and type of chronic conditions was not systematically collected as part of the evaluation survey.
In preparation for program delivery, each state conducted training sessions for Stepping On program leaders. The program was delivered in multiple settings, including healthcare organizations, senior housing or assisted living facilities, faith-based organizations, recreational facilities, and senior centers. Additional information about program preparation, implementation, and evaluation can be found in the Stepping On Implementation Guide (6).
Data were collected from multiple sources. Attendance was recorded at each session and these records were used to describe participant retention over the 7 week program. Program completion was defined as attending five of the seven sessions. A 20-question self-administered questionnaire was used to collect data at the initial Stepping On session (enrollment or baseline survey) and at the last session (program completion or post-intervention survey). Each survey took about 15 minutes to complete and assistance was provided to participants who needed help filling out the forms. Survey questions included participant characteristics (e.g., age group, gender, race, ethnicity), general health status (excellent, very good, good, fair, and poor), and whether the participant had been referred to the program by a healthcare provider. Also measured were satisfaction with their current physical activity level (very, mostly, somewhat, or not at all satisfied) and confidence in their ability to keep themselves from falling (five-point scale ranging from strongly agree to strongly disagree). Self-reported functional ability was assessed by the reported level of difficulty in performing various activities (e.g., climbing one flight of stairs) on a four-point scale ranging from (1) no difficulty to (4) unable to do (10).
The Timed Up and Go (TUG) test was used to measure functional status at the first and last Stepping On sessions. This test has been widely used to assess functional mobility and predict fall risk (11, 12) and has been validated among community-dwelling older adults (13). The test measures the time in seconds for a participant to “stand up from a standard arm chair, walk at [his or her] typical or normal pace to a line on the floor 3 m away, turn, return, and sit down again” (14). Participants who completed the TUG in <12 s were classified as having low fall risk and those who took 12 or more seconds were classified as high risk (15).
The Texas A&M University Institutional Review Board granted approval to analyze secondary data on program participants and outcomes collected using survey instruments and functional assessments.
To identify potential biases from loss to follow-up, we used the chi-square test to compare participant characteristics, number of sessions attended, and TUG results from participants who completed both the baseline and post-intervention surveys to those who only completed the baseline survey (were lost to follow-up). Two-tailed paired t-tests were used to compare participant’s TUG results at the start and end of the program. General estimating equation (GEE) models using a logit link function were used to compare self-reported health status, satisfaction with activity levels, confidence in not falling, and self-reported functional status indicators at the start and end of the program. GEE models are longitudinal data models that use all available data in model estimation (i.e., do not require paired data) and can account for the correlation among repeated measures from the same participant. Each GEE model controlled for age group, gender, race, and program location. All models were run using SAS version 9.3 (SAS Institute Inc., Cary, NC, USA).
Program Implementation and Participant Characteristics
Between September 1, 2011 and December 31, 2013, the three states hosted four Stepping On training sessions. There were 64 leaders trained and 32, 7-week Stepping On programs delivered. Four hundred nineteen participants aged 60 years and older enrolled and 336 participants (80.2%) completed the enrollment or baseline survey. Of these, 274 (81.5%) participants attended five or more sessions and 138 (41.1%) attended all seven sessions.
As indicated in Table 1, of the 336 participants who completed the baseline survey, 60 (17.9%) attended programs in Oregon, 91 (27.1%) in Colorado, and 185 (55.1%) in New York (Table 1). The age distribution was similar among participants in each state. The mean age was 78.7 (SD ± 8.0) years. Overall, the majority of people who enrolled were female (83.3%), white (96.0%), and non-Hispanic (97.9%). The majority of participants reported good (50.3%) or excellent to very good health (34.1%). Only 22 (6.7%) participants were referred to Stepping On by a healthcare provider.
There were 266 (63.5%) participants who completed both the baseline and post-intervention surveys; 70 completed only the baseline survey and were considered drop outs. Among the 266 participants with pre-post survey data, the average participant age was 78.7 (SD ± 8.0) years. Most participants were female (83.4%), white (96.9%), and in at least good health (85.6%). The majority of the participants with baseline and post-intervention surveys (94.7%) completed 70% of the seven session program. There were no statistically significant differences between those who completed both surveys (the analytical sample) and those who only completed the baseline survey except in terms of class completion (Table 1).
Participant Functional Performance
Of 336 participants with baseline data, 254 (75.6%) completed the TUG test at both baseline and post-intervention (Table 2). Of these, 123 (48.4%) were classified as high risk. After completing Stepping On, overall TUG scores significantly decreased 2.1 s (SD ± 3.1). The change was greatest among high risk participants whose TUG scores decreased an average of 3.2 s (SD ± 3.9).
Table 2. Changes in Stepping On participants’ timed up and go (TUG) times in seconds from baseline to post-interventiona.
Self-Reported Health and Functional Outcomes
Table 3 compares self-reported health and functional outcomes at baseline enrollment and post-intervention. Odds ratios were adjusted for gender, age, race, and state. The adjusted odds ratio (aOR) of reporting excellent or very good health status increased by 56% (aOR = 1.56, 95% CI 1.22–2.00). The odds of being very or mostly satisfied with their physical activity levels increased significantly (aOR = 1.74, 95% CI 1.36–2.23) as did their confidence that a fall could be avoided (aOR = 4.60, 95% CI 2.94–7.22). Three of the five items assessing functional status indicated improvement (Table 3). Participants were more likely to report no difficulty in walking one block (aOR = 1.36, 95% CI 1.09, 1.69); getting out of a straight backed chair (aOR = 1.89, 95% CI 1.43–2.50); and climbing one flight of stairs (aOR = 1.42, 95% CI 1.11–1.82). Controlling for the number of sessions attended did not substantially affect our results (data not shown).
Table 3. Changes in Stepping On participants’ self-reported health and functional outcomes from baseline to post-interventiona.
This study examined 2 years of evaluation data collected from older adults aged 60 years and older who participated in the Stepping On community-based fall prevention program. We observed improvements in both the observed and self-reported functional abilities of program participants. Comparing data collected at baseline enrollment and program completion, Stepping On was associated with significant improvements in TUG scores and in self-reported measures of health status, satisfaction with their physical activity levels, and fall-related confidence. This suggests that Stepping On contributes to functional improvements and may also contribute to participants’ general sense of well-being. The largest improvement was seen in feeling confident that falls could be avoided, which increased from approximately 70% at enrollment to over 90% after completion of the Stepping On program. Given that fear of falling is a fall risk factor (16–19), reduced fear coupled with increased functional ability is important components of an effective fall prevention program.
Recruitment and retention of participants is a concern for most fall prevention programs. While the race and ethnicity of Stepping On participants reflected the population from which they were recruited, there was a low percentage of male participants. There were limited numbers of referrals from health care providers, which suggest the need for better linkages between clinical and community approaches to fall prevention (20). Involvement of health care professionals can be critical for motivating older patients at risk of falling to enroll in and complete evidence-based fall prevention programs.
In regards to participant retention, we observed some attrition; however, the majority of the 366 enrolled participants (81.5%) completed at least 70% of the sessions. Stepping On runs only 7 weeks, so program attrition may be less of a problem than for longer running programs. For example, the fall prevention program, Tai Chi Moving for Better Balance (TCMBB), requires two 1 hour sessions over the course of 12 weeks (21). For TCMBB, only about half of the participants completed at least 70% of the program sessions (22). It also may have helped that Stepping On includes a social component, a break halfway through the 2 hour session, when participants can mingle and share refreshments. Further, it is possible that using the TUG test may have helped retain participants. While no data were systematically collected on participants like or dislike of the TUG test, multiple participants told their leaders that they enjoyed receiving their TUG times. The importance of timely performance feedback has been documented previously as a motivating factor for program participation (23).
This study has a number of limitations that must be acknowledged. Participants were self-selected and this may limit the generalizability of the results to the broader older adult population in those communities. As we did not collect data on co-morbid conditions, we could not determine if our participants were similar to the broader population of older adults who were fearful of falling or had experienced prior falls. Similarly, we were unable to assess the extent to which co-morbid conditions were related to our study outcomes.
In order to minimize the reporting burden on the program implementation staff, we used a limited number of self-reported outcomes and one timed functional assessment (i.e., the TUG test). Although there was training provided for conducting the TUG (24), including available step-by-step online videos, this training was limited. Therefore, results may not be comparable to standardized TUG tests administered by trained professionals and some misclassification of a participant’s fall risk may have occurred. While participants reported improvements in self-reported functional ability and demonstrated better TUG scores, we do not know if there was a reduction in falls. Data about falls were not collected because of anticipated problems with recall bias.
Although we did not assess fidelity directly, we believe that program fidelity was maintained by training and certifying group facilitators and using the detailed Implementation Guide that emphasized the importance of program fidelity.
Stepping On was previously shown to be effective at reducing fall risk in a randomized controlled trial. Intended for older adults who have fallen in the past or are afraid of falling, Stepping On applies adult education and social learning principles to teach older adults strategies that they can use to reduce their risk of falling. Stepping On participants practice balance and strength exercises, learn how to increase their safety at home and in the community, and learn about the importance of vision assessment and medication reviews. This study confirms that the program provides positive benefits and reduces fall risk factors among participants when implemented in multiple community-based settings in three states.
Conflict of Interest Statement
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.
This paper is included in the Research Topic, “Evidence-Based Programming for Older Adults.” This Research Topic received partial funding from multiple government and private organizations/agencies; however, the views, findings, and conclusions in these articles are those of the authors and do not necessarily represent the official position of these organizations/agencies. All papers published in the Research Topic received peer review from members of the Frontiers in Public Health (Public Health Education and Promotion section) panel of Review Editors. Because this Research Topic represents work closely associated with a nationwide evidence-based movement in the US, many of the authors and/or Review Editors may have worked together previously in some fashion. Review Editors were purposively selected based on their expertise with evaluation and/or evidence-based programming for older adults. Review Editors were independent of named authors on any given article published in this volume.
We thank the Colorado, New York, and Oregon State Injury Prevention Centers for coordinating The Stepping On programs and collecting the study data and Margaret Kaniewski and Heidi Ehrenreich with the Centers for Disease Control and Prevention for their programmatic support and critical review of the manuscript. This research was supported in part by the Centers for Disease Control and Prevention, Prevention Research Centers Special Initiative Project, with funding from the National Center for Injury Prevention and Control for the State Fall Prevention Program under 5U48DP001924, and the Research Participation Program at the Centers for Disease Control and Prevention administered by the Oak Ridge Institute for Science and Education through an interagency agreement between the U.S. Department of Energy and CDC. The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.
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Keywords: fall prevention, evidence-based program, Stepping On, older adult
Citation: Ory MG, Smith ML, Jiang L, Lee R, Chen S, Wilson AD, Stevens JA and Parker EM (2015) Fall prevention in community settings: results from implementing Stepping On in three states. Front. Public Health 2:232. doi: 10.3389/fpubh.2014.00232
Received: 27 August 2014; Accepted: 27 October 2014;
Published online: 27 April 2015.
Edited by:Michal Grivna, United Arab Emirates University, United Arab Emirates
Reviewed by:Wilma Alvarado-Little, AlvaradoLittle Consulting LLC, USA
Katherine Henrietta Leith, University of South Carolina, USA
Copyright: © 2015 Ory, Smith, Jiang, Lee, Chen, Wilson, Stevens and Parker. 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) or licensor 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: Marcia G. Ory, Department of Health Promotion and Community Health Sciences, Texas A&M Health Science Center, 1266, College Station, TX 77843–1266, USA e-mail: firstname.lastname@example.org