ArticleJournal of medical Internet research2009
Recruitment to a randomized web-based nutritional intervention trial: characteristics of participants compared to non-participants.
Article in Journal of medical Internet research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00169312 (The HMO Cancer Research Network), which is not on this map. Cited by 34 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.
The HMO Cancer Research Network (CRN) - Making Effective Nutritional Choices for Cancer Prevention: The MENU Study
Who cites it
34 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) Evaluation of the Use of Activity Trackers in the Clinical Care of Adults Diagnosed With a Chronic Disease: Integrative Systematic Review.Journal of medical Internet research · 2023Pooled it
- Pooled it
- Evaluation of a Web-based tailored intervention (TAVIE en santé) to support people living with HIV in the adoption of health promoting behaviours: an online randomized controlled trial protocol.BMC public health · 2015Trial
- Multilevel growth curve analyses of treatment effects of a Web-based intervention for stress reduction: randomized controlled trial.Journal of medical Internet research · 2013Trial
- Baseline reach and adoption characteristics in a randomized controlled trial of two weight loss interventions translated into primary care: a structured report of real-world applicability.Contemporary clinical trials · 2013Trial
- The effect of reminders in a web-based intervention study.European journal of epidemiology · 2012Trial
- Who uses online interventions for problem drinkers?Journal of substance abuse treatment · 2011Trial
- Web-based guide to health: relationship of theoretical variables to change in physical activity, nutrition and weight at 16-months.Journal of medical Internet research · 2011Trial
- Process evaluation of a web-based intervention aimed at empowerment of disability benefit claimants.BMC medical informatics and decision making · 2011Trial
- Patient ability and willingness to participate in a web-based intervention to improve hypertension control.Journal of medical Internet research · 2011Trial
- Engagement and retention: measuring breadth and depth of participant use of an online intervention.Journal of medical Internet research · 2010Trial
- Effects of high-dose B vitamin complex with vitamin C and minerals on subjective mood and performance in healthy males.Psychopharmacology · 2010Trial
- A randomized clinical trial evaluating online interventions to improve fruit and vegetable consumption.American journal of public health · 2010Trial
- Identifying recruitment strategies to improve the reach of evidence-based health promotion, disease prevention, and disease self-management interventions: a scoping review.Frontiers in public health · 2025Article
- Current Approaches to Following Up Women and Newborns After Discharge From Childbirth Facilities: A Scoping Review.Global health, science and practice · 2024Article
- Article
- Addressing Health Inequities in Digital Clinical Trials: A Review of Challenges and Solutions From the Field of HIV Research.Epidemiologic reviews · 2022Review
- Differences in the Perception of Dietary Supplements between Dietary Supplement/Medicine Users and Non-Users.Nutrients · 2022Article
- Impact of Two Different Recruitment Procedures (Random vs. Volunteer Selection) on the Results of Seroepidemiological Study (SARS-CoV-2).International journal of environmental research and public health · 2021Article
- Internet-based aftercare for women with bulimia nervosa following inpatient treatment: The role of adherence.Internet interventions · 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
10 authors.
Funding
Abstract
backgroundWeb-based behavioral programs efficiently disseminate health information to a broad population, and online tailoring may increase their effectiveness. While the number of Internet-based behavioral interventions has grown in the last several years, additional information is needed to understand the characteristics of subjects who enroll in these interventions, relative to those subjects who are invited to enroll.
objectiveThe aim of the study was to compare the characteristics of participants who enrolled in an online dietary intervention trial (MENU) with those who were invited but chose not to participate, in order to better understand how these groups differ.
methodsThe MENU trial was conducted among five health plans participating in the HMO Cancer Research Network in collaboration with the University of Michigan Center for Health Communication Research. Approximately 6000 health plan members per site, between the ages of 21 and 65, and stratified by gender with oversampling of minority populations, were randomly selected for recruitment and were mailed an invitation letter containing website information and a US$2 bill with the promise of US$20 for completing follow-up surveys. Administrative and area-based data using geocoding along with baseline survey data were used to compare invitees (HMO members sent the introductory letter), responders (those who entered a study ID on the website), and enrollees (those who completed the enrollment process). Generalized estimating equation multivariate and logistic regression models were used to assess predictors of response and enrollment.
resultsOf 28,460 members invited to participate, 4270 (15.0%) accessed the website. Of the eligible responders, 2540 (8.9%) completed the consent form and baseline survey and were enrolled and randomized. The odds of responding were 10% lower for every decade of increased age (P < .001), while the likelihood of enrolling was 10% higher for every decade increase in age (P < .001). Women were more likely to respond and to enroll (P < .001). Those living in a census tract associated with higher education levels were more likely to respond and enroll, as well as those residing in tracts with higher income (P < .001). With a 22% (n = 566) enrollment rate for African Americans and 8% (n = 192) for Hispanics, the enrolled sample was more racially and ethnically diverse than the background sampling frame.
conclusionsRelative to members invited to participate in the Internet-based intervention, those who enrolled were more likely to be older and live in census tracts associated with higher socioeconomic status. While oversampling of minority health plan members generated an enrolled sample that was more racially and ethnically diverse than the overall health plan population, additional research is needed to better understand methods that will expand the penetration of Internet interventions into more socioeconomically diverse populations.
trial registrationClinicaltrials.gov NCT00169312; http://clinicaltrials.gov/ct2/show/NCT00169312 (Archived by WebCite at http://www.webcitation.org/5jB50xSfU).
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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.