ArticleJMIR mHealth and uHealth2020
Patterns of Mobile Phone Ownership and Use Among Pregnant Women in Southern Tanzania: Cross-Sectional Survey.
Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06024317 (Leveraging Community Health Workers and a Responsive Digital Health System to Improve Rates and Timeliness of Child Well Visits in the First Year of Life), which is not on this map. Cited by 7 papers, 1 of them a synthesis that pooled it.
What it found
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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.
Leveraging Community Health Workers and a Responsive Digital Health System to Improve Rates and Timeliness of Child Well Visits in the First Year of Life
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Process evaluations of early childhood obesity prevention interventions delivered via telephone or text messages: a systematic review.The international journal of behavioral nutrition and physical activity · 2021Pooled it
- Design of an Automated Mobile Phone-Based Reminder and Incentive System: Application in a Quasi-Randomized Controlled Trial to Improve the Timeliness of Childhood Vaccinations in Tanzania.JMIR formative research · 2025Trial
- Implementation of a Mobile Health Approach to a Long-Lasting Insecticidal Net Uptake Intervention for Malaria Prevention Among Pregnant Women in Tanzania: Process Evaluation of the Hati Salama (HASA) Randomized Controlled Trial Study.Journal of medical Internet research · 2024Trial
- Mobile phone ownership among young adults in seven Southern African countries.Journal of global health · 2025Article
- Peer Counselor Intervention for Reducing Mortality and/or Hospitalization in Adults With Hypertensive Urgency in Tanzania: A Pilot Study.American journal of hypertension · 2023Article
- Caregiver Acceptability of Mobile Phone Use for Pediatric Cancer Care in Tanzania: Cross-sectional Questionnaire Study.JMIR pediatrics and parenting · 2021Article
- Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
Abstract
backgroundThere is a paucity of subnational data on patterns of mobile phone ownership and use in Tanzania to inform the development of digital health interventions.
objectiveThe aim of this study is to assess patterns of mobile phone ownership and use in pregnant women to inform the feasibility and design of digital health interventions for promoting timely uptake of childhood vaccines in southern Tanzania.
methodsBetween August and November 2017, pregnant women in their third trimester were enrolled at health facilities and from surrounding communities, and asked about their patterns of mobile phone ownership and use in an interviewer administered survey.
resultsOf 406 women, only 3 had never used a phone. Most women (>98%) could make and receive phone calls. Compared to urban women, rural women reported higher mobile phone use rates but were less likely to be sole owners of phones, and less likely to send or receive SMS, transact money, browse the internet, or use social media via mobile phones.
conclusionsThe findings suggest high feasibility for digital health interventions delivered via mobile phones to pregnant women in southern Tanzania. The feasibility of smartphone-based interventions or strategies relying on the use of social media or the internet is limited.
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What OpenQuestion holds
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.