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Shaping Core Health Messages: Rural, Low-Income Mothers Speak Through Participatory Action Research

Overview of attention for article published in Health Communication, April 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

policy
1 policy source
twitter
1 X user
facebook
1 Facebook page

Readers on

mendeley
89 Mendeley
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Article details
Title
Shaping Core Health Messages: Rural, Low-Income Mothers Speak Through Participatory Action Research
Published in
Health Communication, April 2018
DOI 10.1080/10410236.2018.1465792
Pubmed ID
Authors
Abstract

Rural, low-income families are disproportionately impacted by health problems owing to structural barriers (e.g., transportation, health insurance coverage) and personal barriers (e.g., health literacy). This paper presents a Participatory Action Research (PAR) model of co-created Core Health Messages (CHMs) in the areas of dental health, food security, health insurance, and physical activity. The research project engaged a multi-disciplinary team of experts to design initial health messages; rural, low-income mothers to respond to, and co-create, health messages; and stakeholders who work with families to share their insights. Findings reveal the perceptions of mothers and community stakeholders regarding messages and channels of message dissemination. By using PAR, a learner engagement approach, the researchers intend to increase the likelihood that the CHMs are culturally appropriate and relevant to specific populations. The CHM-PAR model visually illustrates an interactive, iterative process of health message generation and testing. The paper concludes with implications for future research and outreach in a technological landscape where dissemination channels are dynamic. This paper provides a model for researchers and health educators to co-create messages in a desired format (e.g., length, voice, level of empathy, tone) preferred by their audiences and to examine dissemination methods that will best reach those audiences.

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 11 12%
Student > Bachelor 8 9%
Student > Ph. D. Student 8 9%
Researcher 7 8%
Student > Postgraduate 5 6%
Other 15 17%
Unknown 35 39%
Readers by discipline
Readers by discipline Count As %
Social Sciences 12 13%
Medicine and Dentistry 12 13%
Nursing and Health Professions 8 9%
Psychology 7 8%
Economics, Econometrics and Finance 3 3%
Other 11 12%
Unknown 36 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 29 August 2019.
All research outputs
#7,041,787
of 23,045,021 outputs
Outputs from Health Communication
#659
of 1,619 outputs
Outputs of similar age
#122,125
of 326,557 outputs
Outputs of similar age from Health Communication
#12
of 27 outputs
Altmetric has tracked 23,045,021 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,619 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has gotten more attention than average, scoring higher than 56% 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 326,557 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.