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How U.S. children’s hospitals define population health: a qualitative, interview-based study

Overview of attention for article published in BMC Health Services Research, June 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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1 news outlet
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8 Dimensions

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Title
How U.S. children’s hospitals define population health: a qualitative, interview-based study
Published in
BMC Health Services Research, June 2018
DOI 10.1186/s12913-018-3303-7
Pubmed ID
Authors

Daniel Skinner, Berkeley Franz, Matthew Taylor, Chantelle Shaw, Kelly J. Kelleher

Abstract

The literature suggests that although adult hospitals are establishing population health programs around the country, there is considerable definitional ambiguity regarding whether interventions are aimed at the social determinants of health or the management of existing patient populations. U.S. children's hospitals also undertake population health programs, but less is known about how they define population health. The purpose of this study is to understand how U.S. children's hospitals define population health, and how institutions are adjusting to new preventive health care models. We conducted semi-structured interviews with key stakeholders at ten hospitals with the highest amount of staff time dedicated to population health activities as reported in the 2016 Children's Hospital Association's population health survey. Using a semi-structured interview guide, we interviewed representatives from each hospital. Verbatim interview notes were coded and analyzed using the data analysis software Dedoose. Data analysis followed a modified constructivist grounded theory approach. Our results suggest that even population health innovators employ a variety of approaches that span both population health management and public health. We present further evidence that U.S. children's hospitals are actively debating the definition and focus of population health. Definitional debates are ongoing even within children's hospitals that are dedicating significant resources to population health. Increased clarity on the conceptual boundaries between population health and population health management could help preserve the theoretical differences between the two concepts, especially insofar as they mark two quite different long-term visions for health care. Without agreement about the meaning of population health within and among institutions, hospitals will not be able to know whether projects aimed at addressing the social determinants of health are likely to improve the health of populations.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 13%
Student > Master 5 13%
Researcher 4 10%
Student > Bachelor 3 8%
Unspecified 3 8%
Other 9 23%
Unknown 11 28%
Readers by discipline Count As %
Medicine and Dentistry 8 20%
Nursing and Health Professions 5 13%
Unspecified 3 8%
Business, Management and Accounting 2 5%
Economics, Econometrics and Finance 2 5%
Other 6 15%
Unknown 14 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 30 July 2018.
All research outputs
#2,146,359
of 23,094,276 outputs
Outputs from BMC Health Services Research
#857
of 7,739 outputs
Outputs of similar age
#46,745
of 329,076 outputs
Outputs of similar age from BMC Health Services Research
#39
of 210 outputs
Altmetric has tracked 23,094,276 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,739 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done well, scoring higher than 88% 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 329,076 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 85% of its contemporaries.
We're also able to compare this research output to 210 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.