ArticleTranslational behavioral medicine2016
Development and design of an intervention to improve physical activity in pregnant women using Text4baby.
Article in Translational behavioral medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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
11 citing papers in PubMed, 21 citations in OpenAlex.
- Dose and timing of text messages for increasing physical activity among pregnant women: a randomized controlled trial.Translational behavioral medicine · 2017Trial
- The Effect of the More Active MuMs in Stirling Trial on Body Composition and Psychological Well-Being among Postnatal Women.Journal of pregnancy · 2016Trial
- Investigating eHealth Lifestyle Interventions for Vulnerable Pregnant Women: Scoping Review of Facilitators and Barriers.Journal of medical Internet research · 2024Article
- The Application of Human-Centered Design Approaches in Health Research and Innovation: A Narrative Review of Current Practices.JMIR mHealth and uHealth · 2021Review
- Study protocol for a multisite randomized controlled trial of an internet and mobile-based intervention for preventing and reducing perinatal depressive symptoms.Research in nursing & health · 2021Article
- Evaluation of a Text Messaging Intervention to Support Self-Management of Diabetes During Pregnancy Among Low-Income, Minority Women: Qualitative Study.JMIR diabetes · 2020Article
- Using Text Messaging to Improve Access to Prenatal Health Information in Urban African American and Afro-Caribbean Immigrant Pregnant Women: Mixed Methods Analysis of Text4baby Usage.JMIR mHealth and uHealth · 2020Article
- Immigrant Latino parents demonstrated high interactivity with pediatric primary care text messaging intervention.mHealth · 2020Article
- Clients' perceptions and experiences of targeted digital communication accessible via mobile devices for reproductive, maternal, newborn, child, and adolescent health: a qualitative evidence synthesis.The Cochrane database of systematic reviews · 2019Review
- Trajectories of objectively-measured physical activity and sedentary time over the course of pregnancy in women self-identified as inactive.Preventive medicine reports · 2016Article
- The use of mobile health interventions for gestational diabetes mellitus: a descriptive literature review.Journal of medicine and lifeReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Text4baby is a free, mobile health information service for pregnant and post-partum women. This study aims to understand preferences of physical activity text messages (SMS), sequentially develop prototype SMS, and determine preferred dose of SMS to inform a future study utilizing Text4baby. This study had a user-centered design with three phases: (1) literature review and interviews with pregnant women for development of prototype SMS, (2) interviews with health care professionals and pregnant women for prototype SMS feedback, and (3) survey to determine preferred dose of SMS. Data from interviews identified knowledge and support as major themes. Prototypes were developed (N = 14) and informed 168 SMS. Pregnant women (N = 326) thought three SMS/week were about right (50.2 %) and preferred three SMS/week throughout pregnancy (71.9 %). There is a need for opportunities for behavioral scientists to incorporate evidence-based practices within scalable interventions. As such, this research will inform utilization of Text4baby to potentially improve physical activity participation.
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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.