ArticleJournal of medical Internet research2013
Text messaging data collection for monitoring an infant feeding intervention program in rural China: feasibility study.
Article in Journal of medical Internet research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
22 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- What is the economic evidence for mHealth? A systematic review of economic evaluations of mHealth solutions.PloS one · 2017Pooled it
- Fundamentals for Future Mobile-Health (mHealth): A Systematic Review of Mobile Phone and Web-Based Text Messaging in Mental Health.Journal of medical Internet research · 2016Pooled it
- Comparison of text messaging data collection vs face-to-face interviews for public health surveys: a cluster randomized crossover study of care-seeking for childhood pneumonia and diarrhoea in rural China.Journal of global health · 2018Trial
- Multi-site trial using short mobile messages (SMS) to improve infant weight in low-income minorities: Development, implementation, lessons learned and future applications.Contemporary clinical trials · 2017Trial
- Increasing the response rate of text messaging data collection: a delayed randomized controlled trial.Journal of the American Medical Informatics Association : JAMIA · 2015Trial
- Child Vaccination Status and Behavioral and Social Drivers of Vaccination Among Their Caregivers in the Philippines: Cross-Sectional Survey Study Comparison of Household, Mobile, and Online Modes.Journal of medical Internet research · 2026Article
- Analysis of Determinant Factors and Mechanisms in Early Childhood Care Services: A Qualitative Study in the Asturian Context (Spain).Children (Basel, Switzerland) · 2025Article
- Family-Centered Model and mHealth Through Early Intervention in Rural Populations: A Quasi-Experimental Study.Children (Basel, Switzerland) · 2025Article
- Evidence-Based Implementation of the Family-Centered Model and the Use of Tele-Intervention in Early Childhood Services: A Systematic Review.Healthcare (Basel, Switzerland) · 2024Review
- Best practices for collecting repeated measures data using text messages.BMC medical research methodology · 2020Review
- Assessing the use of cell phones to monitor health and nutrition interventions: Evidence from rural Guatemala.PloS one · 2020Article
- Novel approaches to measuring knowledge among frontline health workers in India: Are phone surveys a reliable option?PloS one · 2020Article
- Acceptability of a text message-based intervention for obesity prevention in infants from Hawai'i and Puerto Rico WIC.BMC pregnancy and childbirth · 2019Article
- A Mixed Methods Study to Explore the Effects of Program Design Elements and Participant Characteristics on Parents' Engagement With an mHealth Program to Promote Healthy Infant Feeding: The Growing Healthy Program.Frontiers in endocrinology · 2019Article
- The Digital Divide and Health Disparities in China: Evidence From a National Survey and Policy Implications.Journal of medical Internet research · 2017Article
- Assessing User Engagement of an mHealth Intervention: Development and Implementation of the Growing Healthy App Engagement Index.JMIR mHealth and uHealth · 2017Article
- Building the Evidence Base for Remote Data Collection in Low- and Middle-Income Countries: Comparing Reliability and Accuracy Across Survey Modalities.Journal of medical Internet research · 2017Article
- Mobile Phone Surveys for Collecting Population-Level Estimates in Low- and Middle-Income Countries: A Literature Review.Journal of medical Internet research · 2017Review
- Improving health aid for a better planet: The planning, monitoring and evaluation tool (PLANET).Journal of global health · 2015Article
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Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAn effective data collection method is crucial for high quality monitoring of health interventions. The traditional face-to-face data collection method is labor intensive, expensive, and time consuming. With the rapid increase of mobile phone subscribers, text messaging has the potential to be used for evaluation of population health interventions in rural China.
objectiveThe objective of this study was to explore the feasibility of using text messaging as a data collection tool to monitor an infant feeding intervention program.
methodsParticipants were caregivers of children aged 0 to 23 months in rural China who participated in an infant feeding health education program. We used the test-retest method. First, we collected data with a text messaging survey and then with a face-to-face survey for 2 periods of 3 days. We compared the response rate, data agreement, costs, and participants' acceptability of the two methods. Also, we interviewed participants to explore their reasons for not responding to the text messages and the reasons for disagreement in the two methods. In addition, we evaluated the most appropriate time during the day for sending text messages.
resultsWe included 258 participants; 99 (38.4%) participated in the text messaging survey and 177 (68.6%) in the face-to-face survey. Compared with the face-to-face survey, the text messaging survey had much lower response rates to at least one question (38.4% vs 68.6%) and to all 7 questions (27.9% vs 67.4%) with moderate data agreement (most kappa values between .5 and .75, the intraclass correlation coefficients between .53 to .72). Participants who took part in both surveys gave the same acceptability rating for both methods (median 4.0 for both on a 5-point scale, 1=disliked very much and 5=liked very much). The costs per questionnaire for the text messaging method were much lower than the costs for the face-to-face method: ¥19.7 (US $3.13) versus ¥33.9 (US $5.39) for all questionnaires, and ¥27.1 (US $4.31) versus ¥34.4 (US $5.47) for completed questionnaires. The main reasons for not replying were that participants did not receive text messages, they were too busy to reply, or they did not see text messages in time. The main reasons for disagreement in responses were that participants forgot their answers in the text messaging survey and that they changed their minds. We found that participants were more likely to reply to text messages immediately during 2 time periods: 8 AM to 3 PM and 8 PM to 9 PM.
conclusionsThe text messaging method had reasonable data agreement and low cost, but a low response rate. Further research is needed to evaluate effectiveness of measures that can increase the response rate, especially in collecting longitudinal data by text messaging.
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