Abstract
More than 1 in 4 community-dwelling adults age 65 yr and older fall each year (Centers for Disease Control and Prevention [CDC], 2017), and those over age 70 have an especially high fall risk (Tinetti & Williams, 1997). One out of 5 falls results in injury (Sterling, O’Connor, & Bonadies, 2001). Annually, about 2.5 million older people are treated in emergency departments for the consequences of falls, and about 700,000 are hospitalized (CDC & National Center for Injury Prevention and Control [NCIPC], 2015). Adjusted fall death rates continue to rise (CDC & NCIPC, 2015), making falls an eminent threat to a frail older adult’s ability to maintain independence in the community.
Falls are often the result of the interaction of behavior, intrinsic risk factors (e.g., poor balance), and environmental risk factors (slippery floors). Home modifications such as hazard removal is one of multiple evidence-based strategies (Gillespie et al., 2012) strongly recommended by the American and British Geriatrics Societies to prevent falls (American Geriatrics Society, 2011). Home hazard removal programs target environmental fall risk factors. When delivered by occupational therapy practitioners, home hazard removal programs have been shown to reduce falls by 39% among high-risk fallers in studies conducted in Europe (Nikolaus & Bach, 2003) and Australia (Clemson, Mackenzie, Ballinger, Close, & Cumming, 2008). In addition, home modification programs, which included hazard removal, to improve daily activity performance have demonstrated high acceptability and adherence among older adults in the United States (Gitlin, Corcoran, Winter, Boyce, & Hauck, 2001; Stark, Landsbaum, Palmer, Somerville, & Morris, 2009). However, a recent systematic review revealed that no randomized controlled trials (RCTs) have been conducted in the United States to examine the efficacy of home hazard removal to reduce falls (Stark, Keglovits, Arbesman, & Lieberman, 2017).
Complex behavioral interventions such as home modifications involve a combination of multiple active behavioral components, such as providing an individualized intervention plan or training to use equipment, and can pose challenges in development, documentation, and reproduction compared with single-component interventions such as a drug or procedure (Campbell et al., 2000). RCTs are the most rigorous way to evaluate the effectiveness of improvement strategies. Published reports of such trials answer the question “Does it work?” but fail to elucidate reasons the intervention was a success or failure (Oakley, Strange, Bonell, Allen, & Stephenson, 2006). Therefore, we conducted a process evaluation alongside an RCT because combining the strength of an RCT with a well-designed process evaluation provides improved insight to deliver evidence-based practice. The Reach, Effectiveness, Adoption, Implementation, and Maintenance framework (RE–AIM; Glasgow, Vogt, & Boles, 1999), designed to expand the assessment of interventions beyond efficacy to translation and public health impact, was used to frame the process evaluation.
We used a double-blind RCT to examine the efficacy of a home modification intervention on the rate and risk of falls among U.S. community-dwelling older adults ages 65 and older at high risk of a fall (N = 115). The intervention included a tailored home modification intervention targeting activities of daily living or function (rather than specific home hazards). The primary outcome was the risk of falls. The aim of the process evaluation was to assess the success of delivering the intervention; the intervention’s acceptability, safety, adherence, and cost; and fidelity to the protocol of the intervention to aid in interpretation of the trial data and implementation of the intervention in the United States.
The adjusted risk of time to first fall for the entire monitoring period was not significant, hazard ratio (HR) = 0.83, 95% confidence interval (CI) [0.49–1.41]. However, in the sham control group, risk of first in-home fall in the first 260 days of follow-up was more than twice the risk compared with the intervention group when controlled for demographics (age, race, sex), total falls in the previous year, daily activity performance, and amount of barriers in the home, HR = 0.45, 95% CI [0.22–0.95]. In addition, home modifications to improve daily activity performance did not reduce the 12-mo fall risk for high-risk fallers in the intervention group. However, the program demonstrated a positive effect on daily activity performance over 12 mo and reduced the risk of falls in the home at 6 mo.
Method
Research Design
This study reports the outcome of a process evaluation conducted with a double-blind, sham-controlled RCT designed to evaluate the effectiveness of a tailored home intervention to improve daily activity performance and reduce falls at home among community-dwelling older adults who had experienced a recent fall. The study was approved by the Human Research Protection Office at Washington University.
Participants
Community-dwelling older adults age 65 yr or older who had a history of falling within 6 mo were recruited from two sources: the Barnes-Jewish Hospital (St. Louis, MO) Emergency Department (ED), a Level 1 trauma center, and flyers in the community. Older adults visiting the ED because of a fall were identified by geriatric screeners or an automatic paging system. Screening and consent occurred in the ED or at home after discharge. A sample of 2,185 older adults was identified through the ED. A sample of 533 older adults was identified through the flyers and subsequent screening over the telephone. All potential participants were blinded to the outcome of the trial and thus were invited to participate in a trial of daily activity performance.
Potential participants with a recent fall and impairment in activities of daily living (ADLs) and in instrumental ADLs (i.e., impairment in two or more daily activities from the Older Americans Resources and Services Multidimensional Functional Assessment Questionnaire [Fillenbaum, 1988] ADL scale) who lived in Missouri within 30 miles of Barnes-Jewish Hospital were eligible. Participants were excluded if they reported that their fall was caused by syncope, had moderate to severe memory problems demonstrated by a score of 10 or less on the Short Blessed Test (Carpenter et al., 2011), had chronic alcohol abuse demonstrated by a score of 2 or higher on the Short Michigan Alcoholism Screening Test–Geriatric Version (Blow, Gillespie, Barry, Mudd, & Hill, 1998), were unable to ambulate independently, resided in a nursing home, or were diagnosed with a neurological condition that resulted in motor performance difficulties (e.g., Parkinson’s disease, recent stroke). A total of 115 participants consented to the study.
Assessment
Although assessment information is fully described elsewhere (Stark, Keglovits, & Somerville, 2016), briefly, participants underwent assessment during a home visit at baseline and at 6 and 12 mo after intervention. All raters were trained occupational therapy practitioners blinded to group allocation throughout the study. Balance and gait were assessed using the Performance-Oriented Mobility Assessment (Tinetti, 1986). Each participant’s prescription medications were recorded. Fall-related indicators included the number of self-reported falls and injurious falls in the past year. The In-Home Occupational Performance Evaluation (Stark, Somerville, & Morris, 2010), a valid and reliable self-report and performance-based assessment of in-home activity performance, was used to quantify the problematic activities for the older adult, current performance level and satisfaction with performance, and objective activity performance in the home environment.
Randomization allocation concealment was achieved by automated randomization using a block size of six. The allocation ratio was 1:1, with blocking intervals of four. Groups were balanced with regard to race and sex. Randomization assignment was elicited after baseline assessment.
Process Outcome Measures
To aid in future dissemination of the intervention, we framed the process evaluation using the RE–AIM framework. We assessed the reach of the intervention by examining the willingness of people to participate in the study. Effectiveness of the intervention to improve daily activity performance was examined. Adoption was measured by examining adherence to the recommended interventions immediately and assessing self-management behaviors such as obtaining additional environmental supports after treatment. The implementation of the intervention, or fidelity to the protocol, was examined by calculating dose (time) and frequency of the intervention. A visit checklist was completed for each element of each visit. Maintenance, or the extent to which participants were adherent to the intervention over a 12-mo follow-up period, was obtained for each home modification strategy provided during the intervention.
Treatment time, goals, and accomplishments were recorded for each session. Costs of the study intervention (including time and materials) were recorded for the intervention group. These methods to evaluate process adhere to the National Institutes of Health framework for the conduct and reporting of dissemination and implementation of research (Neta et al., 2015).
Treatment and Assessment
All treatment participants were scheduled to receive six 90-min sessions of treatment with a certified occupational therapy practitioner delivered over an 8-wk period. Scripted study events were scheduled for each session. The sham group received equal time from an occupational therapist who provided a standardized kit of adaptive equipment for fine motor tasks (e.g., needle threader, large-grip pizza cutter). Treatment time and goals were recorded for each session. Costs of the study intervention (time and materials) were recorded for the treatment group.
Home Modification Intervention
The purpose of the tailored home modification intervention was to address daily activity limitations by providing environmental support to compensate for functional impairments. Supplemental Figure 1 shows examples of home modification interventions (available online at http://otjournal.net; navigate to this article, and click on “Supplemental”). The intervention targeted participants’ problematic daily activities. Participants used a systematic process to identify and address these daily activity problems. The standardized components of the intervention included
An assessment of each participant’s abilities and of his or her home environment;
The identification of daily activity problems and environmental barriers, prioritized by the participant;
An interventionist-generated shared decision-making tool to determine the optimal treatment prescription;
Participant selection of home modifications or adaptive equipment using shared decision making, with installation of equipment; and
Participant training and active practice with the new home modifications or equipment.
The intervention is designed to be delivered (after baseline assessment) over six treatment visits lasting 90 min each, with approximately 1 wk between visits. Figure 1 outlines the objectives for each visit.

Tailored home modification intervention.
The treatment theory, or mechanism of change, guiding this intervention is the competence-press model (Lawton & Nahemov, 1973), which postulates that changes to the environment (e.g., a railing in a stairwell) matched with a person’s personal abilities (e.g., poor balance) improve activity performance (e.g., safely descending the stairs). The essential ingredient of the intervention is the delivery of environmental support and an education and self-management component (Dobkin, 2004) to learn to use environmental solutions and perform activities safely in the home. The active ingredients of the intervention include motivational enhancement techniques (to support a client-centered decision process and to increase adherence with intervention recommendations; Cummings, Cooper, & Cassie, 2009) and shared decision making (to consider the best evidence and the participant’s values and preferences; Schwarzer, 2008).
The manualized intervention is available from the authors. The intervention begins with a performance-based assessment of in-home activities to identify problematic daily activities and environmental barriers (Stark et al., 2010). The competence-press framework is then used to generate potential environmental solutions. These solutions are refined using a clinical reasoning algorithm to consider unique environmental circumstances (e.g., available social support, layout of home) and personal preferences and values (e.g., concern for aesthetics, use of personal assistance; Stark, Somerville, Keglovits, Smason, & Bigham, 2015).
The final set of solutions for each problematic daily activity is presented to the participant using a shared decision-making tool (i.e., a clinical decision analysis [CDA] worksheet; see Supplemental Appendix A, available online at http://otjournal.net; navigate to this article, and click on “Supplemental”). The tool includes the outcomes, benefits, and liabilities of each solution. A script is provided to interventionists to deliver the CDA to the participant and family and includes a specific algorithm to determine the final home modification intervention. Home modifications are obtained and installed. Active practice of daily activities includes an explanation of the purpose of the modification or equipment, demonstration of use, supervised participant practice, caregiver training (if applicable), and problem solving until the participant is able to safely complete the activity. Intervention plans were reviewed by all intervention staff weekly to ensure consistency between interventionists.
Interventionist Training
Study interventionists (n = 7) included both occupational therapists and certified occupational therapy assistants. Interventionists participated in 15 hr of training that comprised self-directed reading, didactic classroom lecture, case studies, and mentored learning in the field.
Analyses
All data entry was completed using REDCap, a secure web-based application (Harris et al., 2009). All data analysis was completed using IBM SPSS Statistics (Version 21; IBM Corp., Armonk, NY). Descriptive analysis was used to describe demographic, baseline characteristics of both groups; fidelity to the intervention protocol; cost; and adherence to and benefit of treatment. An independent t test was used to examine whether there was a significant group difference of characteristics at baseline. We also examined whether there was a difference between the enrolled participants and those who dropped out before the 6-mo postintervention assessment.
Daily activity performance measures were collected at baseline and at 6 mo and 12 mo after intervention completion. A factorial mixed analysis of variance for repeated measures was used to analyze significant effects of group, time, and interaction of time with groups. The criterion for significance is at the probability level of .05 in all tests. In the presence of a significant main effect, Bonferroni post hoc pairwise comparisons were explored.
Results
Reach
The flow of participants through the study is provided in Figure 2. A total of 115 participants consented to the study. The 23 dropouts were compared with the 92 remaining participants on their baseline scores for demographic and outcome variables. There were no differences between groups except for age; younger participants were more likely to drop out. Reasons for not participating in the follow-up included illness, death, becoming ineligible (moving to nursing home), no longer being able to be contacted, withdrawal by the principal investigator (S. Stark; did not disclose exclusion criteria at screening), and declining to continue. Demographic characteristics of the participants are provided in Table 1. Participants were characteristic of older adults at high risk for falling (Tinetti & Williams, 1997; e.g., older, poor balance and strength, previous history of falls). There were no significant differences between groups regarding the number or severity of falls in the previous year.

Study participant flow.
Participant Baseline Characteristics (N = 92)
Note. M = mean; SD = standard deviation.
Sum of total number of formal services including meal, medication, personal care, housekeeping, and home repair services from 0 to 5 services.
Sum of total number of services used including help from family and friends from 0 to 2 informal services.
Scores range from 0 to 150, with higher scores indicating more burden of chronic disease.
Scores range from 0 to 28, with higher scores indicating higher levels of independence.
Scores range from 0 to 28, with lower scores indicating higher risk for fall; <19 indicates high fall risk.
Scores range from 0 to 15, with scores >5 indicating possible depression.
Score of >10 indicates cognitive impairment.
Number of falls in the year preceding enrollment in the study.
Mechanism of Fall Prevention: Improve Daily Activity Performance
To determine whether the targeted mechanism of the home modification intervention was effectively delivered, daily activity performance was assessed at baseline and at 6 and 12 mo after intervention (Table 2). All of the activity performance subscores had significant interaction effect of group × time, indicating that home modification participants demonstrated significantly improved subjective and objective activity performance scores compared with controls over time, which suggested that the intervention was successfully delivered. There was a significant main effect of group, F = 8.9, p < .01, and time, F = 56.17, p < .01, on self-rated performance. Post hoc tests indicated that regardless of group, there was a significant improvement between baseline and 6 mo and between baseline and 12 mo. However, there was no significant difference between 6 mo and 12 mo. Self-rated performance scores were higher after the treatment. There was a significant interaction effect of group × time, indicating that change in self-rated performance differed by group over time. The home modification group showed significantly greater improvement in self-rated performance.
Daily Activity Performance Scores of Study Groups
Note. M = mean; SD = standard deviation.
Self-rated performance and self-rated satisfaction with performance were measured using In-Home Occupational Performance Evaluation (I-HOPE) activity self-rated performance and satisfaction with performance subscales; scores range from 1 to 5, with higher scores indicating better performance or satisfaction.
Objective activity performance score is calculated by total barriers measured using the I–HOPE barrier subscale; scores are summed, with higher scores indicating more barriers, and 0 indicating no barriers in the home.
Mauchly’s Test of Sphericity was significant; therefore, the Huynh–Feldt correction is reported.
There was also a significant main effect of group, F = 5.4, p = .02, and time, F = 99.3, p < .01, on self-rated satisfaction with performance. The home modification group had a higher satisfaction score than the sham control group. Satisfaction scores were higher after the treatment. Similar to self-rated performance, participants did not show significant improvement between 6 mo and 12 mo in satisfaction with improvement. A significant interaction effect of group × time indicates that the home modification group had a greater change in satisfaction with performance compared with the sham group over time.
The objectively rated activity performance scores were significantly improved after intervention. Performance scores did not reach zero, indicating that barriers were still present in participants’ homes. There is no main effect of group on objective performance scores. There was a significant main effect of time, F = 30.6, p < .01, indicating a significant decrease of barriers between baseline and 6 mo and between baseline and 12 mo but not between 6 mo and 12 mo. The interaction effect showed a difference between the two groups over time. Contrasts were performed to compare total barriers of two groups in each time point. There was no statistical difference between groups at 6 mo, F = 3.9, p = .052, and 12 mo, F = 3.3, p = .073, for objective performance.
Intervention Protocol Fidelity
The intervention protocol stipulated that six 90-min visits be completed in participants’ homes over the course of 60 days (8 wk). The participants in the treatment group received an average of 5.9 sessions (range: 4–9 sessions) for 84.39 min (range: 48–121 min), completed over the course of 91.24 days (13 wk). Two participants with protocol deviations as a result of winter travel to Florida for 5 mo and an inpatient hospital stay were excluded from the analysis. The participants received an average of 496.43 min (range: 315–965 min) compared with 540 min of planned treatment.
All treatment was completed in participants’ homes. On a procedure checklist completed after each session, interventionists reported carrying out more than 90% of all session components according to the protocol. All participants received a tailored prescription and home modification interventions (the essential ingredient of the intervention). Interventionists reported no major deviations from the protocol and no unanticipated events or serious adverse events during the treatment period. Reasons for not completing the intervention within 8 wk included participant health (including hospitalization); shipping delay for adaptive equipment; delay of modification installation; and participant travel, bereavement, and holiday activities.
Cost
The mean cost of materials and labor installation for each participant in the intervention group was $931, with a range of $120–$2,790, with an average of 6.37 problematic activities addressed per participant. Therapist time to deliver the intervention averaged 85 min per session (a total of 510 min per participant). Before delivering the intervention, therapists participated in 8 hr of self-directed, didactic, and online learning about the delivery of the home modification intervention (including certification in assessments).
Home Modification Adherence and Benefits
Adherence was calculated as the proportion of intervention strategies used divided by the intervention strategies implemented. Participants reported using 94% of received home modifications at baseline and 91% at 12 mo. Participants who did not have 100% adherence reported various reasons for not accepting or using their modifications: Controls were too difficult to understand or adjust, the modifications or strategies were forgotten, and the items were no longer needed. Participants scored intervention usefulness between 2 (somewhat useful) and 3 (very useful) both immediately after the intervention (2.77, standard deviation [SD] = 0.24) and at 12 mo after intervention (2.84, SD = 0.21). A subset of 23 participants (46.9%) reported independently obtaining additional home modifications after the completion of treatment.
Discussion
The home modification intervention of six 90-min sessions improved ADL performance. Participants who received the intervention reported significantly higher self-rated performance and satisfaction with performance. Older adults found the intervention to be acceptable and reported high adherence to recommendations. Occupational therapy practitioners were able to deliver the intervention effectively with high fidelity. The intervention was delivered with no adverse events, activity performance was improved, and home modification devices were relatively low cost. Therefore, this study demonstrated that this home modification intervention is feasible to implement with an older adult population.
We were able to engage two populations of older adults in the study: patients in the ED and older adults receiving community services. We initially recruited only in the ED but were not able to meet recruitment targets. Although a high number of older adults visited the ED after a fall, they were difficult to engage. ED-based fall reduction efforts often do not adhere to current guideline recommendations to refer to community services after a fall, a problem that is driven by lack of accurate risk-stratification instruments, effective interventions, and insufficient understanding of implementation science (Carpenter et al., 2014; Carpenter & Lo, 2015; Gillespie et al., 2012). Community agencies, specifically, home-delivered meal programs, were a good source of potential participants. This frail sample had a higher-than-expected attrition rate. More than 30% of the participants enrolled dropped out of the study. This finding is important for future programming and for future implementation trials.
There was high intervention acceptance among older adults. Overall, they were active participants in the tailored treatment, completing the majority of planned treatment visits and maintaining high levels of adherence to use of home modifications. Some participants independently obtained additional home modifications during the follow-up period. However, some participants indicated abandonment of some of the home modification recommendations. The reasons given for not using the interventions (e.g., forgetting to use items, items failed) suggest that a booster session may be warranted. A booster session is further supported by the slight decline in function and increase in barriers from the 6-mo assessment to the 12-mo assessment. Future studies should investigate additional booster sessions to reinforce effective, safe use of modifications and to problem solve remaining difficulties to determine the most efficacious treatment dosage.
This study demonstrated feasibility of a home modification intervention with a community- dwelling, older adult population in the United States. The United States lacks a nationwide home modification program for older adults. Although occupational therapy services to provide home assessment and intervention are funded by the Centers for Medicare and Medicaid, the actual home modification devices are not, resulting in a fragmented delivery system that makes home modification difficult (Pynoos, Tabbarah, Angelelli, & Demiere, 1998). Consequently, this study provided evidence that interventionists were able to obtain and install recommended modifications using a standardized protocol. Interventionists ordered adaptive equipment through vendors and coordinated with contractors to install architectural modifications. This study approach is significantly different from other home modification studies in countries with available home modification programs (Close et al., 1999; Cumming et al., 1999; Pighills, Torgerson, Sheldon, Drummond, & Bland, 2011).
The intervention met the definition of an intensive home modification program established in a systematic review of effective home modification intervention (Clemson et al., 2008; Gillespie et al., 2012). The elements of an intensive home modification intervention in the intervention under study include a valid assessment for priority setting and person–environment evaluation; evaluation of the person and his or her environment and fall history; provision of follow-up and support for home modification recommendations during the treatment visits, including active practice and problem solving; and health professionals trained to evaluate the person and the environment.
The occupational therapy interventionists were able to successfully follow a manualized home modification intervention and deliver the essential ingredients of the intervention with moderate continuing education (15 hr). Fidelity to the key elements of the intervention was maintained for all participants who received the home modification intervention. To translate the intervention into practice in the health care system, it is necessary for occupational therapy practitioners to be able to follow the essential treatment principles. Although the interventionists included the essential elements of the intervention overall, differences in treatment time and visits occurred by participant. Deviations in treatment time occurred as a result of delays in installation of architectural modifications by the contractor, delays in equipment from the manufacturer, and participants unable to schedule (e.g., because travel or illness). In most cases, delays were minimal, ranging from 1 to 3 wk.
This study demonstrated the acceptability and feasibility of providing a home modification intervention to improve activity performance and to reduce falls for older adults at high risk of falling. Further research is necessary to investigate the implementation of the intervention on a larger scale and in the current U.S. health care system.
Study Limitations
Not all barriers identified during the assessment were resolved. In most cases, the barriers were not addressed because of budget constraints; all modifications were paid for by the study. Unresolved barriers were related to the bathroom, laundry, and stairs. Such barriers in the bathroom included inability to remove bathtubs and install walk-in or roll-in showers, lack of bathrooms on the main floor of the house, and inability to install grab bars in ideal locations because of lack of structural integrity of the home. Going up and down stairs and accessing laundry were two other activities that proved to be difficult to resolve. Many older adults had trouble navigating the stairs and either did not use them or were unsafe while using them. Participants often needed access to the basement to do laundry, which involved stairs, but the cost to implement the potential solutions (bring the washer and dryer upstairs or install a stairlift to the basement) was beyond the study budget. A formal cost–benefit analysis of these issues was not conducted and is recommended for future studies. Other limitations of this study include incomplete assessment of important geriatric syndrome constructs such as frailty, health literacy, and health numeracy—all of which can affect measured outcomes, particularly when using a shared decision model.
Implications for Occupational Therapy Practice
The results of this study have the following implications for occupational therapy practice:
The essential and active elements of an effective home modification intervention include a theory-driven home modification intervention that uses both changes to the environment and self-management strategies to safely perform daily activities, motivational enhancement strategies to promote client-centeredness, and shared decision making.
Occupational therapy practitioners can effectively deliver home modifications with high fidelity with modest training for relatively low cost. The effects of the intervention are maintained for 12 mo; older adults are highly adherent to client-centered home modification interventions.
Supplemental Materials
Supplementary material for Feasibility Trial of Tailored Home Modifications: Process Outcomes
Supplementary material, sj-pdf-1-aot-10.5014_ajot.2018.021774.pdf for Feasibility Trial of Tailored Home Modifications: Process Outcomes by Susan Stark, Emily Somerville, Jane Conte, Marian Keglovits, Yi-Ling Hu, Christopher Carpenter, Holly Hollingsworth and Yan Yan in The American Journal of Occupational Therapy
Supplementary material for Feasibility Trial of Tailored Home Modifications: Process Outcomes
Supplementary material, sj-pdf-2-aot-10.5014_ajot.2018.021774.pdf for Feasibility Trial of Tailored Home Modifications: Process Outcomes by Susan Stark, Emily Somerville, Jane Conte, Marian Keglovits, Yi-Ling Hu, Christopher Carpenter, Holly Hollingsworth and Yan Yan in The American Journal of Occupational Therapy
Footnotes
Acknowledgments
We gratefully acknowledge the generous contributions of the research participants, the occupational therapy students in the Stark laboratory, and the occupational therapy interventionists. This study was funded by the Department of Housing and Urban Development (Grant MOLHH0196-09) and the Barnes Hospital Foundation. Resources from the Washington University Emergency Care Research Core, which also receives funding from the Barnes-Jewish Hospital Foundation, supported the emergency department components of this project. This study has been registered at
(NCT01833182).
References
Supplementary Material
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