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BACKGROUND: Understanding behavior change techniques (BCTs) used in randomized controlled trials (RCTs) of physical activity programs/services for older adults can help us to guide their implementation in real-world settings. PURPOSE: This study aims to: (a) identify the number and type of BCTs used in physical activity programs/services for older adults evaluated in large, good quality RCTs and (b) explore the impact of different BCTs on different outcome domains. METHODS: This is a secondary data analysis of a WHO-commissioned rapid review of physical activity programs/services for older adults. Fifty-six trials testing 70 interventions were coded for the type and number of BCTs present using a published BCT taxonomy. The proportion of positive effects found from physical activity interventions using the most common BCTs was calculated for the outcomes of physical activity, intrinsic capacity, functional ability, social domain, cognitive and emotional functioning, and well-being and quality of life. RESULTS: Thirty-nine of the 93 possible BCTs were identified in the included trials and 529 BCTs in total (mean 7.6, range 2-17). The most common BCTs were "action planning" (68/70 interventions), "instructions on how to perform a behavior" (60/70), "graded tasks" (53/70), "demonstration of behavior" (44/70), and "behavioral practice/rehearsal" (43/70). Interventions that used any of the most common BCTs showed overwhelmingly positive impacts on physical activity and social domain outcomes. CONCLUSION: Consideration of which BCTs are included in interventions and their impact on outcomes can improve the effectiveness and implementation of future interventions. To enable this, providers can design, implement, and evaluate interventions using a BCT taxonomy.
Interventions aimed at modifying health-related behaviors, such as physical activity, are often complex, with numerous components. To better understand interventions' "active ingredients," we conducted a secondary analysis of a World Health Organization (WHO)-commissioned rapid review, using a behavior change technique (BCT) taxonomy. We aimed to classify the number and types of BCTs in physical activity programs for older adults, as identified in randomized controlled trials (RCTs), and examine their impact on outcomes, including physical activity, intrinsic capacity, functional ability, social domain, cognitive and emotional functioning, and well-being. Examining 56 trials testing 70 interventions, we identified 39 out of 93 possible BCTs, totaling 529 instances across interventions. Common BCTs included "action planning," "instructions on how to perform a behavior," "graded tasks," "demonstration of behavior," and "behavioral practice/rehearsal." Interventions using the 10 most common BCTs demonstrated overwhelmingly positive impacts on physical activity and social domain outcomes. However, these BCTs were not consistently present in interventions yielding positive outcomes in other domains, with greater variation in effects. Our study highlights the significance of identifying both BCTs and desired outcomes when designing physical activity interventions. We advocate for the use of a taxonomy in designing and implementing future programs to maximize effectiveness.
Subject(s)
Behavior Therapy , Exercise , Aged , Humans , Behavior Therapy/methods , Quality of Life , Randomized Controlled Trials as TopicABSTRACT
OBJECTIVES: To evaluate the effects of sport or physical recreation on participation, mobility and quality of life for adults living with disabilities. DESIGN: Systematic review with meta-analysis. DATA SOURCES: Six databases searched from inception to May 2022. ELIGIBILITY CRITERIA: Randomised controlled trials including adults living with a physical or intellectual disability, comparing sport or physical recreation to non-active control. RESULTS: Seventy-four trials (n=2954; mean age 55 years) were included. Most (70) trials included people with physical disabilities, none evaluated sport and the most common physical recreation activities tested were traditional Chinese exercise (35%), yoga (27%) and dance (18%). Mean frequency and duration was 65 min/session, two times per week for 13 weeks. Most (86%) interventions were led by people with experience and/or training in the recreation activity, and only 37% reported leader experience and/or training working with people with disabilities. Participation was measured as attendance (mean 81%, 30 intervention groups). Physical recreation improved mobility (standardised mean difference (SMD) 0.38, 95% CI 0.07 to 0.69, n=469) and walking endurance (mean difference (MD) 40.3 m, 95% CI 19.5 to 61.1, n=801) with low certainty evidence and balance (Berg Balance Scale, range 0-56 points; MD 3.4 points, 95% CI 2.3 to 4.4, n=906) and quality of life (physical health; SMD 0.37, 95% CI 0.02 to 0.72, n=468) with very low certainty evidence, but not walking speed (MD 0.03 m/s, 95% CI -0.05 to 0.11, n=486). CONCLUSION: Physical recreation may confer multiple benefits for people living with disabilities regardless of the activity chosen, thus offering a potentially enjoyable and scalable strategy to increase physical activity. PROSPERO REGISTRATION NUMBER: CRD42018104379.
Subject(s)
Disabled Persons , Exercise , Sports for Persons with Disabilities , Humans , Intellectual Disability , Quality of Life , Walking , Randomized Controlled Trials as TopicABSTRACT
OBJECTIVES: Accurate fall reporting is essential for assessing the effectiveness of fall prevention strategies. This study aimed to investigate the level of agreement between incident reports and resident progress notes as data sources for falls monitoring in residential aged care facilities. METHODS: A retrospective observational study was conducted involving 46 older people from six residential aged care facilities who had consented to join the broader TOP UP trial. Fall events documented in the incident report system and resident progress notes over 12 months before randomisation were extracted by two independent reviewers using a standardised Excel form. Agreement between the two data collection methods was calculated using Cohen's kappa coefficient. RESULTS: A total of 75 falls were recorded from 27 (59%) of the 46 participants who were 65% female, with an average age of 83 [SD 9] years. The incident reports captured 68 (90.7%) falls, while the progress notes captured 73 (97.3%) falls. Overall, there was a 75% agreement between falls recorded in progress notes and incident reports. Perfect agreement was identified for five facilities (n = 35), while one facility had a lower agreement rate of 29% (n = 11), which appeared to be attributable to staff shortages linked to the COVID-19 pandemic. CONCLUSIONS: There was substantial agreement between incident reports and progress records. These findings support the use of incident reports for identifying falls in research or to investigate the effectiveness of fall prevention strategies in residential aged care facilities.
Subject(s)
Homes for the Aged , Pandemics , Aged , Aged, 80 and over , Female , Humans , Male , Residential Facilities , Risk Management , Retrospective StudiesABSTRACT
Introduction: Pain in Parkinson's disease (PD) is common but poorly understood, with most research to date taking a mechanistic approach. This mixed methods study takes a broader biopsychosocial approach to assess and describe contributors of pain and explore pain management and the relationship between pain and physical activity in people with PD (PwPD) and chronic pain. Methods: A structured survey evaluated respondents' contributors of pain using standardized, self-report assessments of the following: pain, peripheral neuropathy, central nociplastic change, emotional dysregulation or pathology, and maladaptive cognitions. Semistructured individual interviews were conducted with purposively sampled survey participants and analyzed using inductive thematic analysis. Results: Eighty-nine PwPD (mean age 67 years, 55% female) completed the survey. The most common pain contributors were maladaptive cognitions (62%), central nociplastic change (49%), and emotional dysregulation (44%). Approaches to pain management and the response to physical activity were variable within and across individuals with different pain contributors. Four themes emerged from interviews with 24 participants: (1) causative perceptions of pain are diverse; (2) sense of control influences disease acceptance and exercise self-efficacy; (3) belief in the value of therapy; and (4) pain as the unspoken PD symptom. Physical activity was used by PwPD for pain management; however, the relationship between pain and physical activity varied based on sense of control. Conclusions: Clinicians should screen for pain and assess its contributors to provide individualized, multidimensional pain management that considers the biological, psychological, and social factors of pain in PwPD. It is plausible that such an approach would promote a better sense of control for PwPD.
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The provision of mobility exercises through a smartphone application (app) for people undertaking neurological rehabilitation may improve mobility outcomes. However, it is difficult for clinicians and consumers to select high-quality, appropriate apps. This review aimed to identify (1) which mobile health (mHealth) apps are suitable for prescribing mobility exercises for adults with neurological health conditions, (2) how well these apps incorporate telehealth strategies, and (3) how well these apps rate in terms of quality and capacity for behaviour change. The Australian Apple iTunes Store was systematically searched, by using a search code and manually, for apps suitable for training mobility in neurological rehabilitation. Additional searches were conducted in known app repositories and for web-based apps. Trained reviewers extracted data from the included apps, including population-specific characteristics; quality, by using the Mobile App Rating Scale (MARS); and behaviour change potential, by using the App Behaviour Change Scale (ABACUS). The included apps (n = 18) provided <50 to >10,000 exercises, many incurred a subscription fee (n = 13), and half included telehealth features. App quality was moderate (mean MARS score of 3.2/5 and SD of 0.5), and potential for behaviour change was poor (mean ABACUS score of 5.7/21 and SD of 2.1). A limited number of high-quality apps are available for the prescription of mobility exercises in people with neurological conditions.
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BACKGROUND: Digital interventions are becoming increasingly popular in rehabilitation. Understanding of device features which impact clinician adoption and satisfaction is limited. Research in the field should be conducted across diverse settings to ensure digital interventions do not exacerbate healthcare inequities. OBJECTIVE: This study aimed to understand rehabilitation clinicians' preferences regarding device attributes and included a cross-cultural comparison. MATERIALS AND METHODS: Choice experiment methodology (best-worst scaling) was used to survey rehabilitation clinicians across Australia and Brazil. Participants completed 10 best-worst questions, choosing the most and least important device attributes from subsets of 31 attributes in a partially balanced block design. Results were analysed using multinomial models by country and latent class. Attribute preference scores (PS) were scaled to 0-100 (least to most important). RESULTS: A total of 122 clinicians from Brazil and 104 clinicians from Australia completed the survey. Most respondents were physiotherapists (83%) working with neurological populations (51%) in the private/self-employed sector (51%) who had experience using rehabilitation devices (87%). Despite preference heterogeneity across country and work sector (public/not-for-profit versus private/self-employed/other), clinicians consistently prioritised patient outcomes (PS 100.0, 95%CI: 86.2-100.0), patient engagement (PS 93.9, 95%CI: 80.6-94.2), usability (PS 81.3, 95%CI: 68.8-82.5), research evidence (PS 80.4, 95%CI: 68.1-81.7) and risk (PS 75.7, 95%CI: 63.8-77.3). In Australia, clinicians favoured device attributes which facilitate increased therapy dosage (PS 79.2, 95%CI: 62.6-81.1) and encourage patient independent practice (PS 66.8, 95%CI: 52.0-69.2). In Brazil, clinicians preferred attributes enabling device use for providing clinical data (PS 67.6, 95%CI: 51.8-70.9) and conducting clinical assessments (PS 65.6, 95%CI: 50.2-68.8). CONCLUSION: Clinicians prioritise patients' needs and practical application over technical aspects of digital rehabilitation devices. Contextual factors shape clinician preferences rather than individual clinician characteristics. Future device design and research should consider preferences and influences, involving diverse stakeholders to account for context-driven variations across cultures and healthcare settings.
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Introduction: Deteriorating mobility and falls reduce independence and quality of life for older people receiving aged care services. This trial aims to establish effectiveness on the mobility of older people, and explore cost-effectiveness and implementation of a telehealth physiotherapy programme. Method and analysis: This type 1 hybrid effectiveness-implementation randomised controlled trial will involve 240 people aged 65+ years receiving aged care services in community or residential settings. Participants will be randomised to either: (1) the Telehealth Physiotherapy for Older People (TOP UP) Program or (2) a wait-list control group. The 6-month intervention includes 10 physiotherapy sessions delivered by videocall (Zoom). The intervention will include the local support of an aged care worker and online exercise resources. Primary outcome is mobility at 6 months post randomisation measured by the Short Physical Performance Battery. Secondary outcomes include rate of falls, sit-to-stand, quality of life, and goal attainment at 6 months after randomisation. Regression models will assess the effect of group allocation on mobility and the other continuously scored secondary outcomes, adjusting for baseline scores. The number of falls per person over 6 months will be analysed using negative binomial regression models to estimate between-group differences. An economic analysis will explore the cost-effectiveness of the TOP UP programme compared with usual care. Implementation outcomes and determinants relating to the intervention's reach, fidelity, exercise dose delivered, adoption, feasibility, acceptability, barriers and facilitators will be explored using mixed methods. Conclusion: This is the first trial to investigate the effectiveness, cost-effectiveness and implementation of a physiotherapy intervention in aged care delivered solely by telehealth internationally. The study has strong aged care co-design and governance and is guided by steering and advisory committees that include staff from aged care service providers and end-users. Trial results will be disseminated via peer-reviewed articles, conference presentations and lay summaries. Trial registration number: The trial is registered with the Australian New Zealand Clinical Trials Registry (ACTRN 12621000734864).