Effect of Intrapersonal and Interpersonal Behavior Change Strategies on Physical Activity Among Older Adults: A Randomized Clinical Trial.

Importance: Despite guidelines that recommend physical activity (PA), little is known about which types of behavior change strategies (BCSs) effectively promote sustained increases in PA in older adults who are insufficiently active. Objective: To determine whether intrapersonal BCSs (eg, goal setting) or interpersonal BCSs (eg, peer-to-peer sharing or learning) combined with the Otago Exercise Program (17 strength and balance exercises and a walking program that are learned and individually tailored, with instruction to perform 3 times per week at home or location of choice) and a wearable PA monitor help older adults sustain increases in their PA. Design, Setting, and Participants: This 2 × 2 factorial randomized clinical trial (Community-Based Intervention Effects on Older Adults' Physical Activity) of community-dwelling older adults 70 years or older with PA levels below minimum national PA guidelines was conducted in urban community centers. Dates of enrollment were from November 17, 2017, to June 15, 2021, with final follow-up assessments completed on September 2, 2022. Interventions: Participants were randomized to intrapersonal (eg, goal setting) BCSs, interpersonal (eg, problem-solving with peer-to-peer sharing and learning) BCSs, intrapersonal and interpersonal BCSs, or an attention control group. All interventions included a PA monitor and 8 weekly small-group meetings with discussion, practice, and instructions to implement the exercise program and relevant BCSs independently between meetings and after the intervention. Main Outcomes and Measures: The primary outcome was daily minutes of objectively measured total PA (light, moderate, or vigorous intensities) averaged over 7 to 10 days, measured at baseline and after the intervention at 1 week, 6 months, and 12 months. Results: Among 309 participants (mean [SD] age, 77.4 [5.0] years; 240 women [77.7%]), 305 (98.7%) completed the intervention, and 302 (97.7%) had complete data. Participants receiving PA interventions with interpersonal BCS components exhibited greater increases in total PA than did those who did not at 1 week (204 vs 177 PA minutes per day; adjusted difference, 27.1 [95% CI, 17.2-37.0]; P < .001), 6 months (195 vs 175 PA minutes per day; adjusted difference, 20.8 [95% CI, 10.0-31.6]; P < .001), and 12 months (195 vs 168 PA minutes per day; adjusted difference, 27.5 [95% CI, 16.2-38.8]; P < .001) after the intervention. Compared with participants who did not receive interventions with intrapersonal BCS components, participants who received intrapersonal BCSs exhibited no significant changes in total PA at 1 week (192 vs 190 PA minutes per day; adjusted difference, 1.8 [95% CI, -8.6 to 12.2]; P = .73), 6 months (183 vs 187 PA minutes per day; adjusted difference, -3.9 [95% CI, -15.0 to 7.1]; P = .49), or 12 months (177 vs 186 PA minutes per day; adjusted difference, -8.8 [95% CI, -20.5 to 2.9]; P = .14) after the intervention. Interactions between intrapersonal and interpersonal BCSs were not significant. Conclusions and Relevance: In this randomized clinical trial, older adults with low levels of PA who received interpersonal BCSs, the exercise program, and a PA monitor exhibited significant increases in their PA for up to 12 months after the intervention. Intrapersonal BCSs elicited no significant PA changes and did not interact with interpersonal BCSs. Our findings suggest that because effects of a PA intervention on sustained increases in older adults' PA were augmented with interpersonal but not intrapersonal BCSs, approaches to disseminating and implementing the intervention should be considered. Trial Registration: ClinicalTrials.gov Identifier: NCT03326141.

Older People's Descriptions of Their Engagement in Fall Prevention.

Evidence-based strategies to decrease fall rates are well established. However, little is understood about how older people engage in fall prevention strategies. Motivational Interviewing (MI) sessions aimed to facilitate individuals' engagement in fall prevention can be analyzed to learn what it means for older people to engage in fall prevention. Thus, the purpose of this study was to explore how older people describe their engagement in fall prevention. Participants in our parent project, MI for Fall Prevention (MI-FP), who received MI sessions were purposively selected for maximum variation in age, sex, fall risks, and MI specialist assigned. The first (of 8) MI sessions from 16 participants were recorded, transcribed, and analyzed using qualitative content analysis. Three researchers first deductively analyzed fall prevention strategies that participants described using an evidence-based fall prevention guideline as a reference. Then, we inductively analyzed the characteristics of these strategies and how participants engaged in them. Finally, we used the Capability, Opportunity, Motivation, Behavior (COM-B) model to organize our results about factors influencing engagement. We found (1) older adults engage in unique combinations of fall prevention strategies and (2) decisions about engagement in fall prevention strategies were influenced by multiple factors that were personal (e.g., who I am, capability, motivation, and opportunities). This study highlighted how fall prevention can be a life-long lifestyle decision for older people. Understanding older people's perspectives about engaging in fall prevention is essential to develop interventions to promote evidence-based fall prevention strategies in real-world settings.

Technical Assistance Received by Older Adults to Use Commercially Available Physical Activity Monitors (Ready Steady 3.0 Trial): Ad-Hoc Descriptive Longitudinal Study.

Background: Despite evidence that regular physical activity (PA) among older adults confers numerous health and functional benefits, PA participation rates are low. Using commercially available wearable PA monitors (PAMs) is one way to augment PA promotion efforts. However, while expert recommendations exist for the specific information needed at the beginning of PAM ownership and the general ongoing need for structures that support as-needed technical troubleshooting, information is lacking about the type, frequency, and modes of assistance needed during initial and long-term ownership. Objective: This paper describes problems reported and technical assistance received by older adults who used PAMs during the 18 months they participated in a community-based PA trial: Ready Steady 3.0 (RS3). Methods: This was an ad-hoc longitudinal analysis of process variables representing technical problems reported and assistance received by 113 RS3 study participants in the 18 months after their orientation to PAMs. Variables included date of contact, problem(s) reported, mode of technical assistance, and whether the equipment was replaced. The descriptive analysis included frequencies and incidence rates of distinct contacts, types of problems, and technical assistance modes. Results: On average, participants were aged 77 (SD 5.2) years. Most identified as female (n=87, 77%), reported experience using smartphones (n=92, 81.4%), and used the PAM between 2 and 18 months. Eighty-two participants (72.6%) reported between 1 to 9 problems with using PAMs, resulting in a total of 150 technical assistance contacts with a mean of 1.3 (SD 1.3) contacts. The incidence rate of new, distinct contacts for technical assistance was 99 per 100 persons per year from 2018 to 2021. The most common problems were wearing the PAM (n=43, 28.7%), reading its display (n=23, 15.3%), logging into its app (n=20, 13.3%), charging it (n=18, 12%), and synchronizing it to the app (n=16, 10.7%). The modalities of technical assistance were in person (n=53, 35.3%), by telephone (n=51, 34%), by email (n=25, 16.7%), and by postal mail (n=21, 14%). Conclusions: In general, the results of this study show that after receiving orientation to PAMs, problems such as uncomfortable wristbands, difficulty using the PAM or its related app, and obtaining or interpreting relevant personal data were occasionally reported by participants in RS3. Trained staff helped participants troubleshoot and solve these technical problems primarily in person or by phone. Results also underscore the importance of involving older adults in the design, usability testing, and supportive material development processes to prevent technical problems for the initial and ongoing use of PAMs. Clinicians and researchers should further assess technical assistance needed by older adults, accounting for variations in PAM models and wear time, while investigating additional assistance strategies, such as proactive support, short GIF videos, and video calls.

Rethinking how and when to report descriptions of behavior change content within interventions: a case study of an ongoing physical activity trial (ready steady 3.0).

Specifications of what and how much health behavior change (BC) content within research interventions are needed to advance BC science, its implementation, and dissemination. We analyzed the types and dosages of the smallest potentially active BC ingredients and associated behavioral prescriptions intended to be delivered in an ongoing physical activity optimization trial for older adults (Ready Steady 3.0 [RS3]). We defined BC types as behavior change techniques (BCT) and behavioral prescriptions. Our protocol integrated the BCT Taxonomy coding procedures with BCT roles (primary or secondary) and, when relevant, linkages to behavioral prescriptions. Primary BCTs targeted theoretical mechanisms of action, whereas secondary BCTs supported primary BCT delivery. Behavioral prescriptions represented what participants were encouraged to do with each primary BCT in RS3 (ascertain, practice, implement). We assessed dosage parameters of duration, frequency, and amount in each BCT and prescription. Results provided a catalog of in-depth, multidimensional content specifications with 12 primary BCTs, each supported by 2-7 secondary BCTs, with dosages ranging from 2 to 8 weeks, 1 to 8 contacts, and 5 to 451 minutes. Minutes spent on behavioral prescriptions varied: ascertain (1 to 41), practice (5 to 315), and implement (0 to 38). Results can be organized and summarized in varied ways (e.g., by content component) to strengthen future assessments of RS3 fidelity and intervention refinement. Results highlight potential benefits of this early, integrated approach to analyzing BC content and frames questions about how such information might be incorporated and disseminated with reporting research outcomes.

The focus of this case study was to assess what and how much behavior change content was within an intervention still under development­by integrating existing frameworks for classifying behavior change techniques, dosages, and behavioral prescriptions. Findings provide the first set of procedures available for collecting, coding, and analyzing data representing the types of behavior change techniques in an intervention, their durations, frequencies, and amounts, and their linkages to what participants are asked to do. Applying these procedures to the protocol and materials in an ongoing study (Ready Steady 3.0) yielded a detailed, multidimensional catalog of the smallest potentially active behavior change ingredients in its intervention, including behavior change techniques, intended uses, and intended dosages. Findings also showcased how this information can be summarized and organized in various ways to strengthen fidelity evaluations and future intervention development. Researchers can use and adapt these new procedures for reporting behavior change content within individual intervention studies. Findings also highlight the potential benefits of this early, integrated approach to analyzing behavior change content and frame questions about how such information might be incorporated and disseminated with reporting research outcomes.

Using the RE-AIM framework to evaluate physical activity-based fall prevention interventions in older adults with chronic conditions: A systematic review.

Falls are a serious public health problem, especially for older adults with chronic conditions. The purpose of this systematic review was to evaluate the translational potential of physical activity-based balance interventions for older adults with common chronic conditions guided by the Reach, Effectiveness/Efficacy, Adoption, Implementation, and Maintenance (RE-AIM) framework. Databases were searched (2011-2021) to identify studies with physical activity-based fall prevention interventions for older adults with chronic conditions. Data were collected using the RE-AIM coding guide and Mixed Methods Appraisal Tool for evidence quality. The search yielded 122 articles, of which 14 distinct studies were included. The most reported RE-AIM dimensions across the studies were Reach (46.2%) and Implementation (40.5%), with Effectiveness/Efficacy (29.4%), Adoption (2.0%), and Maintenance (5.4%) being the least reported. Studies were largely conducted in controlled research environments with minimal staff involvement and without long-term follow-up periods. While studies found that physical activity-based programs were effective in improving balance, information on representativeness and adoption/maintenance of programs was lacking. Studies included sufficient details about the intervention (content, dosage, progression). External validity RE-AIM indicators were reported less frequently than internal validity indicators. The studies were of moderate quality overall. Studies often lacked information on indicators critical for understanding how to implement these programs. This review signals the need to investigate the translation of these interventions from controlled research settings to clinical settings to improve the public impact of fall prevention for this population.

Falls are a serious public health problem, especially for older adults with chronic diseases who have a higher risk of falling. For this review paper, we gathered similar research articles that looked at the effects of balance exercise programs in older adults with a variety of chronic diseases and reviewed how likely they could be used in real-world settings using a guide. We found fourteen studies that met our criteria. The most common elements that authors included in their reports were how research subjects were identified and details about the exercise program design/delivery. The least common elements were the scientific outcomes of the program, how/where the program was incorporated, and the long-term effects of the program. While these balance exercise programs for older adults with chronic diseases were successful in these individual research studies, this general area of fall research is somewhat underdeveloped. Researchers should put more consideration into surroundings where these programs could take place and study how these programs could be successful in real-world settings long-term.

Older Adults' Biobehavioral Fall Risks Were Affected by the COVID-19 Pandemic: Lessons Learned for Future Fall Prevention Research to Incorporate Multilevel Perspectives.

Background and Objectives: Examining the impact of coronavirus disease 2019 (COVID-19) pandemic on fall risks may provide insight into how multilevel factors as described in National Institute of Nursing Research's (NINR's) draft strategic plan can guide future fall prevention research. This article describes the affect of COVID-19 on fall risks from the perspective of older adults who live in assisted living facilities (ALFs), and explores the needs and approaches to implement fall prevention interventions at individual, social, community, and policy levels. Research Design and Methods: Exploratory survey study. Participants from a fall prevention study at 2 ALFs in Oregon were invited to the study. Survey questions asked about COVID experience, and changes in fall risks and day-to-day activities in Spring 2020. Quantitative responses were analyzed using descriptive statistics and Cohen's d effect sizes. Qualitative responses were analyzed using conventional content analysis. Results: Thirteen participants (age: M = 87.08, standard deviation = 6.52) responded. More participants reported feeling unsteady compared to pre-COVID data (38% vs. 62%), while the proportion of those worried about falling remained the same at 38%. Participants reported negligible decreases in importance of fall prevention and small decreases in confidence of fall prevention (Cohen's d = -0.13 and -0.21, respectively). The themes related to the affect of COVID on fall risks were: not to worry about fall risks but be cautious and physical activity is important, but it's hard during COVID. Impact of COVID on day-to-day activities were: varying degrees of concern for COVID, lack of social and community support, and finding unique ways to cope with COVID. Discussion and Implications: These individual-level perspectives suggest that older adults were at increased risk for falling. Results exemplify the influence of broader-level factors (e.g., social, community, and policy) on individual biobehavioral factors (e.g., fall risks and health behaviors), and illustrate the value of examining multilevel factors in future fall prevention research.

Engagement of older adults in STRIDE's multifactorial fall injury prevention intervention.

BACKGROUND: Evidence-based multifactorial fall prevention interventions in clinical practice have been less effective than expected. One plausible reason is that older adults' engagement in fall prevention care is suboptimal. METHODS: This was a post-hoc analysis of 2403 older adults' engagement in a multifactorial fall prevention intervention in the Strategies to Reduce Injuries and Develop Confidence in Elders (STRIDE) pragmatic trial. Based on the direct clinical care level of the Patient and Family Continuum of Engagement (CE) framework, three indicators of progressively interactive engagement were assessed: (1) Consultation (receiving information), (2) Involvement (prioritizing risks), and (3) Partnership (identifying prevention actions). Drop off at each step was determined as well as predictors of engagement. RESULTS: The participants' engagement waned with increasingly interactive CE domains. Although all participants received information about their positive fall risk factors (consultation) and most (51%-96%) prioritized them (involvement), fewer participants (33%-55%) identified fall prevention actions (partnership) for most of their risk factors, except for strength gait or balance problems (95%). More participants (70%) identified home exercises than other actions. Finally, fall prevention actions were identified more commonly among participants who received two visits compared to one (OR = 2.33 [95% CI, 2.06-2.64]), were ≥80 years old (OR = 1.83 [95% CI, 1.51-2.23]), and had fewer fall risk factors (OR = 0.90 [95% CI, 0.83-0.99]). CONCLUSIONS: The drop-off in participants' engagement based on the level of their interaction with clinicians suggests that future multifactorial fall prevention interventions need to be more focused on interactive patient-clinician partnerships that help older adults increase and maintain fall prevention actions. Our analyses suggest that more frequent contact with clinicians and more monitoring of the implementation and outcomes of Fall Prevention Care Plans could potentially improve engagement and help older adults maintain fall prevention actions.

Effect of the STRIDE fall injury prevention intervention on falls, fall injuries, and health-related quality of life.

BACKGROUND: Falls are common in older adults and can lead to severe injuries. The Strategies to Reduce Injuries and Develop Confidence in Elders (STRIDE) trial cluster-randomized 86 primary care practices across 10 health systems to a multifactorial intervention to prevent fall injuries, delivered by registered nurses trained as falls care managers, or enhanced usual care. STRIDE enrolled 5451 community-dwelling older adults age ≥70 at increased fall injury risk. METHODS: We assessed fall-related outcomes via telephone interviews of participants (or proxies) every 4 months. At baseline, 12 and 24 months, we assessed health-related quality of life (HRQOL) using the EQ-5D-5L and EQ-VAS. We used Poisson models to assess intervention effects on falls, fall-related fractures, fall injuries leading to hospital admission, and fall injuries leading to medical attention. We used hierarchical longitudinal linear models to assess HRQOL. RESULTS: For recurrent event models, intervention versus control incidence rate ratios were 0.97 (95% confidence interval [CI], 0.93-1.00; p = 0.048) for falls, 0.93 (95% CI, 0.80-1.08; p = 0.337) for self-reported fractures, 0.89 (95% CI, 0.73-1.07; p = 0.205) for adjudicated fractures, 0.91 (95% CI, 0.77-1.07; p = 0.263) for falls leading to hospital admission, and 0.97 (95% CI, 0.89-1.06; p = 0.477) for falls leading to medical attention. Similar effect sizes (non-significant) were obtained for dichotomous outcomes (e.g., participants with ≥1 events). The difference in least square mean change over time in EQ-5D-5L (intervention minus control) was 0.009 (95% CI, -0.002 to 0.019; p = 0.106) at 12 months and 0.005 (95% CI, -0.006 to 0.015; p = 0.384) at 24 months. CONCLUSIONS: Across a standard set of outcomes typically reported in fall prevention studies, we observed modest improvements, one of which was statistically significant. Future work should focus on patient-, practice-, and organization-level operational strategies to increase the real-world effectiveness of interventions, and improving the ability to detect small but potentially meaningful clinical effects. CLINICALTRIALS: gov identifier: NCT02475850.

Understanding Women's Cardiovascular Health Using MyStrengths+MyHealth: A Patient-Generated Data Visualization Study of Strengths, Challenges, and Needs Differences.

PURPOSE: The purpose of this data visualization study was to identify patterns in patient-generated health data (PGHD) of women with and without Circulation signs or symptoms. Specific aims were to (a) visualize and interpret relationships among strengths, challenges, and needs of women with and without Circulation signs or symptoms; (b) generate hypotheses based on these patterns; and (c) test hypotheses generated in Aim 2. DESIGN: The design of this visualization study was retrospective, observational, case controlled, and exploratory. METHODS: We used existing de-identified PGHD from a mobile health application, MyStrengths+MyHealth (N = 383). From the data, women identified with Circulation signs or symptoms (n = 80) were matched to an equal number of women without Circulation signs or symptoms. Data were analyzed using data visualization techniques and descriptive and inferential statistics. FINDINGS: Based on the patterns, we generated nine hypotheses, of which four were supported. Visualization and interpretation of relationships revealed that women without Circulation signs or symptoms compared to women with Circulation signs or symptoms had more strengths, challenges, and needs-specifically, strengths in connecting; challenges in emotions, vision, and health care; and needs related to info and guidance. CONCLUSIONS: This study suggests that visualization of whole-person health including strengths, challenges, and needs enabled detection and testing of new health patterns. Some findings were unexpected, and perspectives of the patient would not have been detected without PGHD, which should be valued and sought. Such data may support improved clinical interactions as well as policies for standardization of PGHD as sharable and comparable data across clinical and community settings. CLINICAL RELEVANCE: Standardization of patient-generated whole-person health data enabled clinically relevant research that included the patients' perspective.

Barriers to implementation of STRIDE, a national study to prevent fall-related injuries.

BACKGROUND/OBJECTIVES: Evaluations of complex models of care for older adults may benefit from simultaneous assessment of intervention implementation. The STRIDE (Strategies To Reduce Injuries and Develop confidence in Elders) pragmatic trial evaluated the effectiveness of a multifactorial intervention to reduce serious fall injuries in older adults. We conducted multi-level stakeholder interviews to identify barriers to STRIDE intervention implementation and understand efforts taken to mitigate these barriers. DESIGN: Qualitative interviews with key informants. SETTING: Ten clinical trial sites affiliated with practices that provided primary care for persons at increased risk for fall injuries. PARTICIPANTS: Specially trained registered nurses working as Falls Care Managers (FCMs) who delivered the intervention (n = 13 individual interviews), Research Staff who supervised trial implementation locally (n = 10 group interviews, 23 included individuals), and members of Central Project Management and the National Patient Stakeholder Council who oversaw national implementation (n = 2 group interviews, six included individuals). MEASUREMENTS: A semi-structured interview guide derived from the consolidated framework for implementation research (CFIR). RESULTS: We identified eight key barriers to STRIDE intervention implementation. FCMs navigated complex relationships with patients and families while working with Research Staff to implement the intervention in primary care practices with limited clinical space, variable provider buy-in, and significant primary care practice staff and provider turnover. The costs of the intervention to individual patients and medical practices amplified these barriers. Efforts to mitigate these barriers varied depending on the needs and opportunities of each primary care setting. CONCLUSION: The many barriers to implementation and the variability in how stakeholders addressed these locally may have affected the overall STRIDE intervention's effectiveness. Future pragmatic trials should incorporate simultaneous implementation aims to better understand how research interventions translate into clinical care that improves the lives of older adults.

Community-based intervention effects on older adults' physical activity and falls: Protocol and rationale for a randomized optimization trial (Ready Steady3.0).

The Ready Steady 3.0 trial is designed to test the main and interactive effects of two behavior change intervention components, within an 8-week physical activity intervention, on older adults' physical activity (PA). Each component is comprised of behavior change strategies that emphasize two different evidence-based ways to motivate older adults to be active: interpersonal and intrapersonal. 308 adults ≥70 years old will be randomized to 1 of 4 conditions in a 2 × 2 full factorial trial in which the two factors represent the receipt (No, Yes) of interpersonal or intrapersonal behavior change strategies. Participants will also receive two core intervention components: the Otago Exercise Program adapted for small groups and a PA monitor. Interventions across conditions will be delivered during 8 weekly, small group, meetings in community settings. The primary outcome of PA, measured objectively, and secondary outcomes of falls and the quality of life will be assessed at baseline and post-intervention: 1 week, 6 months, and 12 months. Findings will enable the identification of behavior change content that contributes to physical activity outcomes within a physical activity intervention for older adults. This study is one of the first to use the MOST framework to guide the development of a community-based physical activity intervention for older adults to reduce the public health problems of low PA and falls. The results will enable the optimization of behavior change content within a PA intervention for older adults and, in turn, other PA interventions for older adults.

Examining Potential Psychosocial Mediators in a Physical Activity Intervention for Older Adults.

The purpose of this study was to examine psychosocial constructs targeted as potential mediators in a prior physical activity (PA) intervention study. This secondary analysis used data from 102 older adults randomized to one of four conditions-within a 2 (Interpersonal Strategies: yes, no) x 2 (Intrapersonal Strategies: yes, no) factorial design. We tested intervention effects on social support, self-efficacy, self-regulation, and goal attainment, and whether these constructs mediated intervention effects on PA. Participants who received interventions with interpersonal strategies, compared to those who did not, increased their readiness (post-intervention), the self-regulation subscale of self-assessment, and goal attainment (post-intervention, 6-months). Participants who received interventions with intrapersonal strategies, compared to those who did not, increased their social support from family (post-intervention). There was no statistically significant mediation. To understand mechanisms through which interventions increase older adults' PA and to improve intervention effectiveness, researchers should continue to examine potential psychosocial mediators.Clinical Trial Registry: NCT02433249.

Older Adults' Utilization of Community Resources Targeting Fall Prevention and Physical Activity.

BACKGROUND AND OBJECTIVES: Despite the availability of community resources, fall and inactivity rates remain high among older adults. Thus, in this article, we describe older adults' self-reported awareness and use of community resources targeting fall prevention and physical activity. RESEARCH DESIGN AND METHODS: In-depth, semistructured interviews were conducted in Phase 1 with community center leaders (n = 5) and adults (n = 16) ≥70 years old whose experience with community programs varied. In Phase 2, surveys were administered to intervention study participants (n = 102) who were ≥70 years old, did not have a diagnosis of dementia, and reported low levels of physical activity. RESULTS: Four themes emerged from Phase 1 data: (a) identifying a broad range of local community resources; (b) learning from trusted sources; (c) the dynamic gap between awareness and use of community resources; and (d) using internal resources to avoid falls. Phase 2 data confirmed these themes; enabled the categorization of similar participant-identified resources (10); and showed that participants who received encouragement to increase community resource use, compared to those who did not, had significantly greater odds of using ≥1 resource immediately postintervention, but not 6 months' postintervention. DISCUSSION AND IMPLICATIONS: Although participants in this study were aware of a broad range of local community resources for physical activity, they used resources that support walking most frequently. Additionally, receiving encouragement to use community resources had short-term effects only. Findings improve our understanding of resources that need bolstering or better dissemination and suggest researchers identify best promotion, dissemination, implementation strategies.

Usability and clinical efficacy of diabetes mobile applications for adults with type 2 diabetes: A systematic review.

OBJECTIVES: To assess the usability and clinical effectiveness of diabetes mobile applications (diabetes apps) developed for adults with type 2 diabetes. METHOD: A systematic review of the usability and effectiveness of diabetes apps was conducted. Searches were performed using MEDLINE, EMBASE, COMPENDEX, and IEEE XPLORE for articles published from January 1, 2011, to January 17, 2017. Search terms included: diabetes, mobile apps, and mobile health (mHealth). RESULTS: The search yielded 723 abstracts of which seven usability studies and ten clinical effectiveness studies met the inclusion criteria from 20 publications. Usability, as measured by satisfaction ratings from experts and patients, ranged from 38% to 80%. Usability problem ratings ranged from moderate to catastrophic. Top usability problems are multi-steps task, limited functionality and interaction, and difficult system navigation. Clinical effectiveness, measured by reductions in HbA1c, ranged from 0.15% to 1.9%. CONCLUSION: Despite meager satisfaction ratings and major usability problems, there is some limited evidence supporting the effectiveness of diabetes apps to improve glycemic control for adults with type 2 diabetes. Findings strongly suggest that efforts to improve user satisfaction, incorporate established principles of health behavior change, and match apps to user characteristics will increase the therapeutic impact of diabetes apps.

Assessing the Effects of Interpersonal and Intrapersonal Behavior Change Strategies on Physical Activity in Older Adults: a Factorial Experiment.

BACKGROUND: Little is known about which behavior change strategies motivate older adults to increase their physical activity. PURPOSE: The purpose of this study was to assess the relative effects of two sets of behavior change strategies to motivate increased physical activity among older adults: interpersonal and intrapersonal. METHODS: Community-dwelling older adults (N = 102, mean age = 79) were randomized in a 2 × 2 factorial experiment to receive interpersonal (e.g., social support, friendly social comparison; no, yes) and /or intrapersonal (e.g., goal setting, barriers management; no, yes) behavior change strategies, combined with an evidence-based, physical activity protocol (Otago exercise program) and a physical activity monitor (Fitbit One™). RESULTS: Based on monitor data, participants who received interpersonal strategies, compared to those who did not, increased their average minutes of total physical activity (light, moderate, vigorous) per week, immediately (p = .006) and 6 months (p = .048) post-intervention. Similar, increases were observed on measures of functional strength and balance, immediately (p = .012) and 6 months (p = .003) post-intervention. The intrapersonal strategies did not elicit a significant increase in physical activity or functional strength and balance. CONCLUSIONS: Findings suggest a set of interpersonally oriented behavior change strategies combined with an evidence-based physical activity protocol can elicit modest, but statistically and clinically significant, increases in older adults' physical activity and functional strength and balance. Future research should replicate these findings and investigate the sustained quantity of physical activity elicited by these strategies and their impact on older adults' quality of life and falls. Trial Registration The ClinicalTrials.gov registration identifier is NCT02433249.

Older Adults' Experiences Using a Commercially Available Monitor to Self-Track Their Physical Activity.

BACKGROUND: Physical activity contributes to older adults' autonomy, mobility, and quality of life as they age, yet fewer than 1 in 5 engage in activities as recommended. Many older adults track their exercise using pencil and paper, or their memory. Commercially available physical activity monitors (PAM) have the potential to facilitate these tracking practices and, in turn, physical activity. An assessment of older adults' long-term experiences with PAM is needed to understand this potential. OBJECTIVE: To assess short and long-term experiences of adults >70 years old using a PAM (Fitbit One) in terms of acceptance, ease-of-use, and usefulness: domains in the technology acceptance model. METHODS: This prospective study included 95 community-dwelling older adults, all of whom received a PAM as part of randomized controlled trial piloting a fall-reducing physical activity promotion intervention. Ten-item surveys were administered 10 weeks and 8 months after the study started. Survey ratings are described and analyzed over time, and compared by sex, education, and age. RESULTS: Participants were mostly women (71/95, 75%), 70 to 96 years old, and had some college education (68/95, 72%). Most participants (86/95, 91%) agreed or strongly agreed that the PAM was easy to use, useful, and acceptable both 10 weeks and 8 months after enrolling in the study. Ratings dropped between these time points in all survey domains: ease-of-use (median difference 0.66 points, P=.001); usefulness (median difference 0.16 points, P=.193); and acceptance (median difference 0.17 points, P=.032). Differences in ratings by sex or educational attainment were not statistically significant at either time point. Most participants 80+ years of age (28/37, 76%) agreed or strongly agreed with survey items at long-term follow-up, however their ratings were significantly lower than participants in younger age groups at both time points. CONCLUSIONS: Study results indicate it is feasible for older adults (70-90+ years of age) to use PAMs when self-tracking their physical activity, and provide a basis for developing recommendations to integrate PAMs into promotional efforts. TRIAL REGISTRATION: Clinicaltrials.gov NCT02433249; https://clinicaltrials.gov/ct2/show/NCT02433249 (Archived by WebCite at http://www.webcitation.org/6gED6eh0I).