Evidence map›Paper›PMID 25332355›Full record

Trial reportJournal of the American Medical Informatics Association : JAMIA2015

Increasing the response rate of text messaging data collection: a delayed randomized controlled trial.

Ye Li, Wei Wang, Qiong Wu, Michelle Helena van Velthoven, Li Chen, Xiaozhen Du, Yanfeng Zhang, Igor Rudan, Josip Car

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Journal of the American Medical Informatics Association : JAMIA, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Methods to increase response to postal and electronic questionnaires.The Cochrane database of systematic reviews · 2023
    Pooled it
  2. Article
  3. Review
  4. Review
  5. Response Parameters for SMS Text Message Assessments Among Pregnant and General Smokers Participating in SMS Cessation Trials.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2016
    Article
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

9 authors.

Ye LiDepartment of Integrated Early Childhood Development, Capital Institute of Pediatrics, Beijing, China.
Wei WangDepartment of Integrated Early Childhood Development, Capital Institute of Pediatrics, Beijing, China.
Qiong WuDepartment of Integrated Early Childhood Development, Capital Institute of Pediatrics, Beijing, China.
Michelle Helena van VelthovenGlobal eHealth Unit, Department of Primary Care and Public Health, Imperial College London, London, UK.
Li ChenDepartment of Integrated Early Childhood Development, Capital Institute of Pediatrics, Beijing, China.
Xiaozhen DuDepartment of Integrated Early Childhood Development, Capital Institute of Pediatrics, Beijing, China.
Yanfeng ZhangDepartment of Integrated Early Childhood Development, Capital Institute of Pediatrics, Beijing, China.
Igor RudanCentre for Population Health Sciences and Global Health Academy, University of Edinburgh Medical School, Edinburgh, UK.
Josip CarGlobal eHealth Unit, Department of Primary Care and Public Health, Imperial College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo test the effectiveness of multiple interventions on increasing the response rate of text messaging for longitudinal data collection.

methodsOur cohort included 283 caregivers of children aged 6-12 months who were participating in an anemia program in rural China. Using text messages to collect data on anemia medication adherence, we conducted a delayed randomized controlled trial to test multiple interventions (an additional four reminders; a ¥5.0 (US$0.79) credit reward for replying; and a feedback text message). After a 6-week pilot study with week 7 as the baseline measurement, we randomly allocated all participants into two groups: group 1 (n = 142) and group 2 (n = 141). During weeks 8-11, we introduced the interventions to group 1, and in weeks 12-15 the intervention was introduced to both groups. We compared the response rates between groups and explored factors affecting the response rate.

resultsDuring weeks 8-11, the response rates in group 1 increased and were significantly higher than in group 2 (p<0.05). During weeks 12-15, the response rate increased significantly in group 2 (p>0.05) and slightly decreased in group 1. Younger participants or participants who had children with lower hemoglobin concentration were more likely to reply (p = 0.02). Sending four reminders on the second day contributed to only 286 (11.7%) extra text messages. DISCUSSION: Our study showed that multiple interventions were effective in increasing response rate of text messaging data collection in rural China.

conclusionsLarger multi-site studies are needed to find the most effective way of using these interventions to allow usage of text messaging data collection for health research.

Indexed as

Text MessagingAdultAnemiaCaregiversChinaData CollectionFemaleHumansInfantInterviews as TopicMalePilot ProjectsRural PopulationTime Factorsnutrition surveysprogram evaluationrandomized controlled trial

Identifiers

PMID25332355
PMCPMC4433373

What OpenQuestion holds

Textmetadata
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Registered trials

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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.