ReviewJournal of medical Internet research2021
Maximizing Participant Engagement, Participation, and Retention in Cohort Studies Using Digital Methods: Rapid Review to Inform the Next Generation of Very Large Birth Cohorts.
Review 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. Cited by 18 papers.
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
18 citing papers in PubMed, 22 citations in OpenAlex.
- Mixed Delivery Mode Reminder Strategy to Tackle Low Participation in an e-Cohort: Randomized Controlled Trial Nested Within the Le French Gut e-Cohort.Journal of medical Internet research · 2026Trial
- The Locus-of-Hope Enhancement Program for Filipino Community Health Workers' Hope and Well-Being: A Parallel Randomized Alternative-Treatments Study.Journal of community psychology · 2026Trial
- Increasing Engagement in the Electronic Framingham Heart Study: Factorial Randomized Controlled Trial.Journal of medical Internet research · 2023Trial
- Feasibility and Acceptability of a Breastfeeding Support Intervention Among Mothers of Infants Under Six Months Old Discharged From Malnutrition Treatment in Kilifi County.Maternal & child nutrition · 2026Article
- Best practices and challenges in executing large scale pilots for eHealth deployment and managing innovation: the GATEKEEPER experience.Frontiers in digital health · 2026Article
- Parent and child experiences of research participation and retention intentions in a Japanese birth cohort: insights from the Japan Environment and Children's Study (JECS).Environmental health and preventive medicine · 2026Article
- Increasing Retention in a Large-Scale Decentralized Clinical Trial: Learnings From the COVID-RED Trial.Mayo Clinic proceedings. Digital health · 2025Article
- Patients and Communities Shape Regional Health Research Priorities: A Participatory Study from South Tyrol, Italy.Healthcare (Basel, Switzerland) · 2025Article
- Digital Health and Telemedicine Interventions for Hypertension Management in Adults: A Systematic Review.Cureus · 2025Review
- Barriers and strategies for recruitment of pregnant women in contemporary longitudinal birth cohort studies.BMC medical research methodology · 2025Article
- Generation Victoria (GenV): protocol for a longitudinal birth cohort of Victorian children and their parents.BMC public health · 2025Article
- Research Participants' Engagement and Retention in Digital Health Interventions Research: Protocol for Mixed Methods Systematic Review.JMIR research protocols · 2025Article
- Text message reminders for visit adherence among non-communicable disease patients in Haiti: A pilot study.PLOS global public health · 2025Article
- Participant engagement and involvement in longitudinal cohort studies: qualitative insights from a selection of pregnancy and birth, twin, and family-based population cohort studies.BMC medical research methodology · 2024Article
- Recruitment and retention strategies to promote research engagement among caregivers and their children: A scoping review.Journal of clinical and translational science · 2024Article
- Consideration of Sex, Gender, or Age on Outcomes of Digital Technologies for Treatment and Monitoring of Chronic Obstructive Pulmonary Disease: Overview of Systematic Reviews.Journal of medical Internet research · 2023Review
- Evaluation of Digital Interventions for Physical Activity Promotion: Scoping Review.JMIR public health and surveillance · 2022Article
- Participant retention in a fully remote trial of digital psychotherapy: Comparison of incentive types.Frontiers in digital 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
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMany current research needs can only be addressed using very large cohorts. In such studies, traditional one-on-one phone, face-to-face, or paper-based engagement may not be feasible. The only realistic mechanism for maintaining engagement and participation at this scale is via digital methods. Given the substantial investment being made into very large birth cohort studies, evidence for optimal methods of participant engagement, participation, and retention over sustained periods without in-person contact from researchers is paramount.
objectiveThis study aims to provide an overview of systematic reviews and meta-analyses evaluating alternative strategies for maximizing participant engagement and retention rates in large-scale studies using digital methods.
methodsWe used a rapid review method by searching PubMed and Ovid MEDLINE databases from January 2012 to December 2019. Studies evaluating at least 1 e-engagement, participation, or retention strategy were eligible. Articles were screened for relevance based on preset inclusion and exclusion criteria. The methodological quality of the included reviews was assessed using the AMSTAR-2 (Assessing the Methodological Quality of Systematic Reviews 2) measurement tool, and a narrative synthesis of the data was conducted.
resultsThe literature search yielded 19 eligible reviews. Overall, 63% (n=12) of these reviews reported on the effectiveness of e-engagement or participation promotion strategies. These evaluations were generally not conducted within very large observational digital cohorts. Most of the contributing reviews included multipurpose cohort studies (with both observational and interventional elements) conducted in clinical and research settings. Email or SMS text message reminders, SMS text messages or voice notifications, and incentives were the most commonly used design features to engage and retain participants. For parental outcomes, engagement-facilitation interventions influenced uptake and behavior change, including video feedback, goal setting, and intensive human facilitation and support. Participant-stated preferences for content included new knowledge, reminders, solutions, and suggestions about health issues presented in a clear, short, and personalized way. Perinatal and postpartum women valued self-monitoring and personalized feedback. Digital reminders and multiple SMS text messages were specific strategies that were found to increase adherence to medication and clinic attendance, respectively.
conclusionsThis review adds to the growing literature evaluating methods to optimize engagement and participation that may apply to large-scale studies using digital methods; it is promising that most e-engagement and participation promotion strategies appear to be effective. However, these reviews canvassed relatively few strategies, suggesting that few alternative strategies have been experimentally evaluated. The reviews also revealed a dearth of experimental evidence generated within very large observational digital cohort studies, which may reflect the small number of such studies worldwide. Thus, very large studies may need to proactively build in experimental opportunities to test engagement and retention approaches to enhance the success of their own and other large digital contact studies.
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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.