Trial reportJournal of medical Internet research2021
Older Adults' Experiences of Behavior Change Support in a Digital Fall Prevention Exercise Program: Qualitative Study Framed by the Self-determination Theory.
Trial report in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02916849 (A Feasibility Study of an Intervention Using a Mobile Application to Promote Strength and Balance and Reduce Risk of Falls in Older People), which is not on this map. Cited by 20 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Feasibility Study of an Intervention Using a Mobile Application to Promote Strength and Balance and Reduce Risk of Falls in Older People
Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.
- Adherence to Exercise Interventions in Patients with Mild Cognitive Impairment: A Systematic Review and Meta-analysis.International journal of behavioral medicine · 2026Pooled it
- Effectiveness of Mobile Health Application-Based Interventions for Fall Prevention in Community-Dwelling Older Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.Sensors (Basel, Switzerland) · 2026Pooled it
- Older adults' long-term engagement in self-managed fall prevention exercise: a qualitative longitudinal study of the digital Safe Step intervention.BMC geriatrics · 2025Trial
- Effectiveness of the Safe Step Digital Exercise Program to Prevent Falls in Older Community-Dwelling Adults: Randomized Controlled Trial.Journal of medical Internet research · 2025Trial
- Integrating AI-Powered Chatbots Into Patient Education From the Perspectives of Patients, Caregivers, and Nurses: Qualitative Study.Journal of medical Internet research · 2026Article
- Using the COM-B framework to elucidate facilitators and barriers of home-based pulmonary rehabilitation adherence among elderly lung cancer survivors in China: a qualitative study.BMC geriatrics · 2026Article
- Barriers to physical activity among pregnant women in China: a mixed methods study based on the COM-B model and the theoretical domains framework.BMC public health · 2026Article
- The basic psychological needs of fitness self-testing for Chinese male college students: a qualitative perspective.Frontiers in psychology · 2026Article
- Co-designing an exercise maintenance intervention for older adults exiting falls prevention programmes: a multi-stage stakeholder consultation approach.Health psychology and behavioral medicine · 2026Article
- Technology-Assisted Physical Activity Interventions for Older People in Their Home-Based Environment: Scoping Review.JMIR aging · 2025Article
- Motivation, psychological needs and physical activity in older adults: a qualitative review.Age and ageing · 2025Review
- Inpatients' experiences of falls: A qualitative meta-synthesis.Journal of advanced nursing · 2025Review
- Autonomy support in telehealth: an evolutionary concept analysis.Frontiers in public health · 2025Review
- The role of supervision and motivation during exercise on physical and mental health in older adults: a study protocol for a randomized controlled trial (PRO-Training project).BMC geriatrics · 2024Article
- 'Maintaining balance in life'-exploring older adults' long-term engagement in self-managed digital fall prevention exercise.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2023Article
- Exploring the Potential of Technology to Promote Exercise Snacking for Older Adults Who Are Prefrail in the Home Setting: User-Centered Design Study.JMIR aging · 2023Article
- Digital Technologies for Health Promotion and Disease Prevention in Older People: Scoping Review.Journal of medical Internet research · 2023Article
- Does ICT Usage Have a Positive or Negative Effect on Taiwanese Older Adults' Emotional Experiences? The Moderating Role of Basic Psychological Needs Satisfaction.Journal of Intelligence · 2023Article
- Reaching Older People With a Digital Fall Prevention Intervention in a Swedish Municipality Context-an Observational Study.Frontiers in public health · 2022Observational
- Older adults as designers of behavior change strategies to increase physical activity-Report of a participatory design process.Frontiers in public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundExercise is an effective intervention to prevent falls in older adults; however, long-term adherence is often poor. To increase adherence, additional support for behavior change has been advocated. However, consistency in the reporting of interventions using behavior change techniques is lacking. Recently, a classification system has been developed to increase consistency in studies using behavior change techniques within the self-determination theory.
objectiveThis study aimed to explore expressions of self-determination among community-dwelling older adults using a self-managed digital fall prevention exercise program comprising behavior change support (the Safe Step program), which was developed in co-creation with intended users.
methodsThe qualitative study design was based on open-ended responses to questionnaires, and individual and focus group interviews. A deductive qualitative content analysis was applied using the classification system of motivation and behavior change techniques as an analytical matrix, followed by an inductive analysis. Twenty-five participants took part in a feasibility study and exercised in their homes with the Safe Step program for 4 months. The exercise program was available on computers, smartphones, and tablets, and was fully self-managed.
resultsIn the deductive analysis, expressions of support were demonstrated for all three basic human psychological needs, namely, autonomy, competence, and relatedness. These expressions were related to 11 of the 21 motivation and behavior change techniques in the classification system. The inductive analysis indicated that autonomy (to be in control) was valued and enabled individual adaptations according to different rationales for realizing exercise goals. However, the experience of autonomy was also two-sided and depended on the participants' competence in exercise and the use of technology. The clarity of the program and exercise videos was seen as key for support in performance and competent choices. Although augmented techniques for social support were requested, support through relatedness was found within the program.
conclusionsIn this study, the Safe Step program supported the establishment of new exercise routines, as well as the three basic human psychological needs, with autonomy and competence being expressed as central in this context. Based on the participants' experiences, a proposed addition to the classification system used as an analytical matrix has been presented.
trial registrationClinicalTrials.gov NCT02916849; https://clinicaltrials.gov/ct2/show/NCT02916849.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.