Evidence map›Paper›PMID 33512318›Full record

ArticleJournal of medical Internet research2021

Factors Associated With Dropout of Participants in an App-Based Child Injury Prevention Study: Secondary Data Analysis of a Cluster Randomized Controlled Trial.

Jie Li, Peishan Ning, Peixia Cheng, David C Schwebel, Yang Yang, Xiang Wei, Jieyi He, Wanhui Wang, Ruotong Li, Guoqing Hu

Open access · goldAbstract read
In one paragraph

Article 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 19% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Jie LiDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-7222-3743
Peishan NingDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-9919-4495
Peixia ChengDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-1008-8419
David C SchwebelDepartment of Psychology, University of Alabama at Birmingham, Birmingham, AL, United States.ORCID 0000-0002-2141-8970
Yang YangDepartment of Biostatistics, College of Public Health and Health Professions, Emerging Pathogen Institute, University of Florida, Gainesville, FL, United States.ORCID 0000-0003-0428-5480
Xiang WeiDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0001-8869-7049
Jieyi HeDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0003-2988-181X
Wanhui WangDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0001-8462-3683
Ruotong LiDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0001-5458-1777
Guoqing HuDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-5002-8015
Central South University · CNUniversity of Alabama at Birmingham · USUniversity of Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMobile health (mHealth) interventions offer great potential to reach large populations and improve public health. However, high attrition rates threaten evaluation and implementation of mHealth intervention studies.

objectiveWe explored factors associated with attrition of study participants in an mHealth randomized controlled trial (RCT) evaluating an intervention to reduce unintentional child injury risk in China.

methodsThe cluster RCT compared two groups of an app-based intervention for caregivers of 3-6-year-old children (Bao Hu San). The intervention group received unintentional child injury and parenting education, whereas only parenting education was implemented in the control group. The trial included 2920 study participants in Changsha, China, and lasted 6 months. Data on participant engagement (using the app) were collected electronically throughout the 6-month period. Associations between participant attrition and demographic characteristics, and between attrition and intervention engagement were tested and quantified separately for the intervention and control groups using the adjusted odds ratio (aOR) based on generalized linear mixed models.

resultsIn total, 2920 caregivers from 20 eligible preschools participated, with 1510 in the intervention group and 1410 in the control group. The 6-month attrition rate differed significantly between the two groups (P<.001), at 28.9% (437/1510) in the intervention group and 35.7% (503/1410) in the control group. For the intervention group, the only significant predictor of attrition risk was participants who learned fewer knowledge segments (aOR 2.69, 95% CI 1.19-6.09). For the control group, significant predictors of attrition risk were lower monthly login frequency (aOR 1.48, 95% CI 1.00-2.18), learning fewer knowledge segments (aOR 1.70, 95% CI 1.02-2.81), and shorter learning durations during app engagement (aOR 2.39, 95% CI 1.11-5.15). Demographic characteristics were unrelated to attrition.

conclusionsEngagement in the app intervention was associated with participant attrition. Researchers and practitioners should consider how to best engage participants in app-based interventions to reduce attrition.

trial registrationChinese Clinical Trial Registry ChiCTR-IOR-17010438; http://www.chictr.org.cn/showproj.aspx?proj=17376. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s12889-018-5790-1.

Indexed as

Data AnalysisChildChild HealthChild, PreschoolFemaleHumansMaleMobile ApplicationsTelemedicineWounds and Injuriesapp-based interventionattritioninfluencing factorsunintentional injury

Identifiers

PMID33512318
PMCPMC7880806
OpenAlexW3125709088

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.