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Engaging multilevel stakeholders in an implementation trial of evidence-based quality improvement in VA women's health primary care

Overview of attention for article published in Translational Behavioral Medicine, June 2017
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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)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

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1 blog
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9 X users

Citations

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53 Dimensions

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140 Mendeley
Title
Engaging multilevel stakeholders in an implementation trial of evidence-based quality improvement in VA women's health primary care
Published in
Translational Behavioral Medicine, June 2017
DOI 10.1007/s13142-017-0501-5
Pubmed ID
Authors

Alison B. Hamilton, Julian Brunner, Cindy Cain, Emmeline Chuang, Tana M. Luger, Ismelda Canelo, Lisa Rubenstein, Elizabeth M. Yano

Abstract

The Veterans Health Administration (VHA) has undertaken primary care transformation based on patient-centered medical home (PCMH) tenets. VHA PCMH models are designed for the predominantly male Veteran population, and require tailoring to meet women Veterans' needs. We used evidence-based quality improvement (EBQI), a stakeholder-driven implementation strategy, in a cluster randomized controlled trial across 12 sites (eight EBQI, four control) that are members of a Practice-Based Research Network. EBQI involves engaging multilevel, inter-professional leaders and staff as stakeholders in reviewing evidence and setting QI priorities. The goal of this analysis was to examine processes of engaging stakeholders in early implementation of EBQI to tailor VHA's medical home for women. Four inter-professional regional stakeholder planning meetings were conducted; these meetings engaged stakeholders by providing regional data about gender disparities in Veterans' care experiences. Subsequent to each meeting, qualitative interviews were conducted with 87 key stakeholders (leaders and staff). Stakeholders were asked to describe QI efforts and the use of data to change aspects of care, including women's health care. Interview transcripts were summarized and coded using a hybrid deductive/inductive analytic approach. The presentation of regional-level data about gender disparities resulted in heightened awareness and stakeholder buy-in and decision-making related to women's health-focused QI. Interviews revealed that stakeholders were familiar with QI, with regional and facility leaders aware of inter-disciplinary committees and efforts to foster organizational change, including PCMH transformation. These efforts did not typically focus on women's health, though some informal efforts had been undertaken. Barriers to engaging in QI included lack of communication across clinical service lines, fluidity in staffing, and lack of protected time. Inter-professional, multilevel stakeholders need to be engaged in implementation early, with data and discussion that convey the importance and relevance of a new initiative. Stakeholder perspectives on institutional norms (e.g., gender norms) and readiness for population-specific QI are useful drivers of clinical initiatives designed to transform care for clinical subpopulations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 140 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 12%
Student > Ph. D. Student 14 10%
Student > Doctoral Student 13 9%
Student > Bachelor 13 9%
Researcher 12 9%
Other 31 22%
Unknown 40 29%
Readers by discipline Count As %
Medicine and Dentistry 17 12%
Nursing and Health Professions 16 11%
Social Sciences 16 11%
Psychology 13 9%
Engineering 5 4%
Other 24 17%
Unknown 49 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 27 October 2017.
All research outputs
#2,929,078
of 25,257,066 outputs
Outputs from Translational Behavioral Medicine
#182
of 1,083 outputs
Outputs of similar age
#51,272
of 323,380 outputs
Outputs of similar age from Translational Behavioral Medicine
#6
of 17 outputs
Altmetric has tracked 25,257,066 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,083 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has done well, scoring higher than 83% 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 323,380 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 17 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 70% of its contemporaries.