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Use of Text Messaging for Maternal and Infant Health: A Systematic Review of the Literature

Overview of attention for article published in Maternal and Child Health Journal, August 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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1 policy source
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10 X users

Citations

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104 Dimensions

Readers on

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450 Mendeley
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1 CiteULike
Title
Use of Text Messaging for Maternal and Infant Health: A Systematic Review of the Literature
Published in
Maternal and Child Health Journal, August 2014
DOI 10.1007/s10995-014-1595-8
Pubmed ID
Authors

Elisabeth Poorman, Julie Gazmararian, Ruth M. Parker, Baiyu Yang, Lisa Elon

Abstract

Text messaging is an increasingly popular communication tool in health interventions, but has been little studied in maternal and infant health. This literature review evaluates studies of text messaging that may be applied to the promotion of maternal and infant health. Articles from peer-reviewed journals published before June 2012 were included if they were experimental or quasi-experimental studies of behaviors endorsed either by the American College of Obstetrics and Gynecology, the American Pediatrics Association, or the United States Preventive Services Task Force; included reproductive age women (12-50 years) or infants up to 2 years of age; and were available in English. Qualitative studies of text messaging specific to pregnant women were also included. Studies were compared and contrasted by key variables, including: design, time-period, study population, and results. Forty-eight articles were included, 30 of which were randomized controlled trials. Interventions vary greatly in effectiveness and soundness of methodology, but collectively indicate that there is a wide range of preventative behaviors that text message interventions can effectively promote, including smoking cessation, diabetes control, appointment reminders, medication adherence, weight loss, and vaccine uptake. Common methodological issues include not accounting for attention affect and not aligning text message content to measured outcomes. Those interventions that are based on an established theory of behavior change and use motivational as opposed to informational language are more likely to be successful. Building on the growing body of evidence for text message interventions reviewed here, as well as the growing popularity of text messaging as a medium, researchers should be able to use this technology to engage difficult to reach populations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 450 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Canada 1 <1%
New Zealand 1 <1%
Romania 1 <1%
Spain 1 <1%
Unknown 444 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 81 18%
Student > Ph. D. Student 68 15%
Researcher 60 13%
Student > Bachelor 34 8%
Other 26 6%
Other 75 17%
Unknown 106 24%
Readers by discipline Count As %
Medicine and Dentistry 95 21%
Psychology 58 13%
Nursing and Health Professions 51 11%
Social Sciences 48 11%
Computer Science 15 3%
Other 53 12%
Unknown 130 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 June 2016.
All research outputs
#3,718,602
of 25,081,505 outputs
Outputs from Maternal and Child Health Journal
#369
of 2,140 outputs
Outputs of similar age
#35,418
of 235,691 outputs
Outputs of similar age from Maternal and Child Health Journal
#9
of 41 outputs
Altmetric has tracked 25,081,505 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,140 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 235,691 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.