Cited by 99Mobile Health and mHealth ApplicationsSocial Media in Health EducationICT in Developing Communities

Text4baby: Development and Implementation of a National Text Messaging Health Information Service

Open access
Whittaker, Robyn, Matoff-Stepp, Sabrina, Meehan, Judy, Kendrick, Juliette, Jordan, Elizabeth, Stange, Paul, Cash, Amanda, Meyer, Paul +4 more·2012·American Journal of Public Health

Abstract

Text4baby is the first free national health text messaging service in the United States that aims to provide timely information to pregnant women and new mothers to help them improve their health and the health of their babies. Here we describe the development of the text messages and the large public–private partnership that led to the national launch of the service in 2010. Promotion at the local, state, and national levels produced rapid uptake across the United States. More than 320 000 people enrolled with text4baby between February 2010 and March 2012. Further evaluations of the effectiveness of the service are ongoing; however, important lessons can be learned from its development and uptake.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2105/ajph.2012.300736

Cites

31 of 31 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The cultural adaptation of SMS text message interventions has generally included language translation, so that health messages reflect health beliefs, norms, and social practices.

    “The cultural adaptation of SMS text message interventions has generally included language translation, so that health messages reflect health beliefs, norms, and social practices [62].”

    From British South Asian Patients’ Perspectives on the Relevance and Acceptability of Mobile Health Text Messaging to Support Medication Adherence for Type 2 Diabetes: Qualitative Study (2020) · cites this paper as [62]

    The message-development passage (labelled Abstract in our copy; page unavailable) says text4baby messages were translated into Spanish and the translations were reviewed by the National Alliance for Hispanic Health. This supports an example of language translation, but the paper does not establish that SMS interventions generally use this approach or that the messages were adapted to reflect health beliefs, norms, and social practices. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • Cultural adaptation may reflect the nuances of language and cultural practices, so that health messages and services reflect their history, health beliefs and norms, social practices, and political and economic characteristics.

    “Cultural adaptation may reflect the nuances of language and cultural practices, so that health messages and services reflect their history, health beliefs and norms, social practices, and political and economic characteristics [10-14].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Part of this paper’s reference list could not be split into single entries.

Flagged first, then by citations

Research works printed but not linked: 2

  1. [36]36. American Academy of Pediatrics. Bright Futures 3rd edition guidelines, pocket guide, tool and resource kit. Available at: http://brightfutures.aap.org/3rd_Edition_Guidelines_and_Pocket_Guide.html. Accessed March 1, 2011.
  2. [44]44. Costhelper. Text messaging cost. Available at: http://www.costhelper.com/cost/electronics/text-messaging.html. Accessed July 23, 2011. Articles from American Journal of Public Health are provided here courtesy of American Public Health Association

Cited by

Sorted by citations

Authors
Whittaker, R., Matoff-Stepp, S., Meehan, J., Kendrick, J., Jordan, E., Stange, P., Cash, A., Meyer, P., Baitty, J., Johnson, P., Ratzan, S., & Rhee, K.
Affiliations
  • Health Resources and Services Administration (US)
  • Johnson & Johnson (United States) (US)
Venue
American Journal of Public Health
Published
2012-12
Volume
102
Issue
12
Pages
2207-2213
ISSN
  • 0090-0036 (ISSN-L)
  • 1541-0048
OpenAlex
W2020638884
Cited by
99
References
31
Citations by year
2026: 4 · 2025: 1 · 2024: 7 · 2023: 3 · 2022: 6 · 2021: 12 · 2020: 9 · 2019: 3 · 2018: 8 · 2017: 7 · 2016: 12 · 2015: 14 · 2014: 9 · 2013: 4
FWCI
15.34
Type
journal article
Language
en
Open access
Locations
  • American Journal of Public Health (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Social Sciences › Health › Social Media in Health Education
  • Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
Keywords
text messaging, mobile health, pregnant women, postpartum women, maternal health, infant health, health information services, public-private partnerships, service uptake, health promotion
MeSH terms
Centers for Disease Control and Prevention, U.S., Female, Humans, Maternal Health Services, Maternal Welfare, Pregnancy, United States, Program Evaluation, Program Development, Cell Phone, Public-Private Sector Partnerships, Text Messaging, Health Information Systems

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review