ArticleThe Journal of communication2013
Recruitment and Retention for Community-Based eHealth Interventions with Populations of Low Socioeconomic Position: Strategies and Challenges.
Article in The Journal of communication, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- A systematic review of recruitment and retention of ethnic minorities and migrants in obesity prevention randomised controlled trials.International journal of obesity (2005) · 2024Pooled it
- Interventions to improve access to cancer care in underserved populations in high income countries: a systematic review.Oncology reviews · 2024Pooled it
- Design Features Associated With Engagement in Mobile Health Physical Activity Interventions Among Youth: Systematic Review of Qualitative and Quantitative Studies.JMIR mHealth and uHealth · 2023Pooled it
- Trial
- Feasibility of an Online Grocery Intervention Pilot to Improve Fruit and Vegetable Purchase and Food Security Among Adults With Children Eligible for SNAP.Journal of nutrition education and behavior · 2025Trial
- Trial
- Recruitment Methods, Inclusion, and Successful Participation in a Longitudinal Clinical Trial Using Ecological Momentary Assessment.Health education & behavior : the official publication of the Society for Public Health Education · 2024Trial
- Recruitment and retention of participants from socioeconomically deprived communities: lessons from the Awareness and Beliefs About Cancer (ABACus3) Randomised Controlled Trial.BMC medical research methodology · 2020Trial
- eHealth Familias Unidas: Efficacy Trial of an Evidence-Based Intervention Adapted for Use on the Internet with Hispanic Families.Prevention science : the official journal of the Society for Prevention Research · 2019Trial
- Effectiveness of a Web 2.0 Intervention to Increase Physical Activity in Real-World Settings: Randomized Ecological Trial.Journal of medical Internet research · 2017Trial
- Internet use, browsing, and the urban poor: implications for cancer control.Journal of the National Cancer Institute. Monographs · 2013Trial
- The Impact of Financial Incentives on Completion of a No Money No Time 6-Week Culinary Nutrition eHealth Challenge.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2025Article
- Predictors for response to electronic patient-reported outcomes in routine care in patients with rheumatoid arthritis: a retrospective cohort study.Rheumatology international · 2023Article
- Designing Effective eHealth Interventions for Underserved Groups: Five Lessons From a Decade of eHealth Intervention Design and Deployment.Journal of medical Internet research · 2022Article
- Recruitment of Participants for a 3D Virtual Supermarket: Cross-sectional Observational Study.JMIR formative research · 2021Article
- Advances and future directions in the use of mobile health in supportive cancer care: proceedings of the 2019 MASCC Annual Meeting symposium.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020Review
- A cross-sectional survey examining motivation and beliefs to participating in a web-based prospective cohort study on nutrition and health among individuals with a low socioeconomic status.BMC public health · 2020Article
- Big Data in Context: Addressing the Twin Perils of Data Absenteeism and Chauvinism in the Context of Health Disparities Research.Journal of medical Internet research · 2020Article
- Beliefs Related to Participation in a Large Web-Based Prospective Survey on Diet and Health Among Individuals With a Low Socioeconomic Status: Qualitative Study.JMIR formative research · 2019Article
- Setting and motivation in the decision to participate: An approach to the engagement of diverse samples in mobile research.Contemporary clinical trials communications · 2019Article
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
Abstract
Given persistent communication inequalities, it is important to develop interventions to improve Internet and health literacy among underserved populations. These goals drove the Click to Connect (C2C) project, a community-based eHealth intervention that provided novice computer users of low socioeconomic position (SEP) with broadband Internet access, training classes, a Web portal, and technical support. In this paper, we describe the strategies used to recruit and retain this population, the budgetary implications of such strategies, and the challenges and successes we encountered. Results suggest that personal contact between study staff and participants and provision of in-depth technical support were central to successful recruitment and retention. Such investments are essential to realize the promise of eHealth with underserved populations.
Indexed as
Identifiers
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.