ArticleJournal of sport and health science2016
Recruitment of older adults into randomized controlled trials: Issues and lessons learned from two community-based exercise interventions in Shanghai.
Article in Journal of sport and health science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- The challenge of recruiting multimorbid older patients identified in a hospital database to a randomised controlled trial.Aging clinical and experimental research · 2022Trial
- Effect of a Pedometer-Based, 24-Week Walking Intervention on Depression and Acculturative Stress among Migrant Women Workers.International journal of environmental research and public health · 2019Article
- Recruitment of caregivers into health services research: lessons from a user-centred design study.Research involvement and engagement · 2019Article
- Physical activity, aging, and health in China: Addressing public health needs in the presence of continued economic growth and urbanization.Journal of sport and health science · 2016Article
- Recruitment methods and yield rates for a multisite clinical trial exploring risk reduction for Alzheimer's disease (rrAD).Alzheimer's & dementia (New York, N. Y.)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWith the increasing need for high-quality exercise interventions in China, relatively little is known about issues and challenges related to recruitment of older Chinese adults into exercise-based disease prevention interventions. This study aims to describe the recruitment process and outcomes of 2 exercise interventions conducted in Shanghai, China.
methodsRecruitment information was ascertained from 2 community-based randomized controlled trials for 2 exercise interventions, the first designed to improve health outcomes for older women with knee osteoarthritis and the second to study changes in cognitive function in adults with mild cognitive impairment. Results were summarized in terms of recruitment sources, number screened, screening-to-enrollment ratios, and costs.
resultsRecruitment was primarily achieved through working with local residential divisions (i.e., neighborhood associations and residential committees). Both studies achieved their planned target number of older adults (45 and 46, respectively) within a 1-year time frame, with a screening-to-randomized ratio of 5:1 and demonstrated excellent retention rates (range 87%-93%) at 6 months. The recruitment cost for the 2 studies averaged RMB 189 (about USD 30) per initial recruit and RMB 738 (about USD 119) per participant randomized. Some major issues encountered during the recruitment process included (1) the use of community neighborhoods to support the conduct of the projects, (2) access to participants, and (3) feasibility.
conclusionAnalysis of the 2 randomized controlled trials has provided valuable insights into the recruitment process and identified resources that can help better planning and recruitment for future interventions. Recommendations aimed at increasing the success of future recruitment efforts are provided.
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What OpenQuestion holds
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.