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Effects of continuity of care on hospital admission in patients with type 2 diabetes: analysis of nationwide insurance data

Overview of attention for article published in BMC Health Services Research, March 2015
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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1 news outlet
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2 X users

Citations

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39 Dimensions

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85 Mendeley
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Title
Effects of continuity of care on hospital admission in patients with type 2 diabetes: analysis of nationwide insurance data
Published in
BMC Health Services Research, March 2015
DOI 10.1186/s12913-015-0745-z
Pubmed ID
Authors

Kyoung Hee Cho, Sang Gyu Lee, Byungyool Jun, Bo-Young Jung, Jae-Hyun Kim, Eun-Cheol Park

Abstract

A system for managing chronic disease including diabetes mellitus based on primary care clinics has been used in Korea since April 2012. This system can reduce copayments for patients that are managed by a single primary-care provider and lead to improve continuity of care. The aim of this study is to determine whether there is an association between continuity of care for outpatients and hospital admission and identify the continuity index that best explains hospital admissions for patients with type 2 diabetes. We performed a cross-sectional study using 2009 National Health Insurance Sample (NHIS) from the Health Insurance Review & Assessment Services (HIRA) of Korea. The dependent variable was hospital admission due to type 2 diabetes mellitus. Continuity of care was measured using the Usual Provider Care index (UPC), Continuity of Care index (COC), Sequential Continuity of Care index (SECON), and Integrated Continuity of Care index (ICOC). Patients with low COC scores (<0.75) were more likely to be hospitalized [odds ratio, 2.44; 95% CI, 2.17-2.75] compared with the reference group (COC ≥0.75), after adjusting for all covariates. we calculated the area under the receiver operating characteristic (AUROC) curve for each index to find which index had the greatest explanatory ability for hospital admission. The AUROC of the COC was the greatest (0.598), but the AUROC curves for the UPC (0.597), SECON (0.593), and ICOC (0.597) were similar. High continuity of care may reduce the likelihood for hospital admission. The COC had marginally more explanatory power.

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The data shown below were collected from the profiles of 2 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 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 1%
Unknown 84 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 14%
Researcher 12 14%
Student > Master 9 11%
Other 8 9%
Student > Bachelor 7 8%
Other 16 19%
Unknown 21 25%
Readers by discipline Count As %
Medicine and Dentistry 20 24%
Nursing and Health Professions 15 18%
Social Sciences 5 6%
Computer Science 4 5%
Economics, Econometrics and Finance 4 5%
Other 14 16%
Unknown 23 27%
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 15 September 2023.
All research outputs
#3,582,095
of 25,481,734 outputs
Outputs from BMC Health Services Research
#1,626
of 8,692 outputs
Outputs of similar age
#46,330
of 292,160 outputs
Outputs of similar age from BMC Health Services Research
#19
of 95 outputs
Altmetric has tracked 25,481,734 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 8,692 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done well, scoring higher than 81% 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 292,160 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 83% of its contemporaries.
We're also able to compare this research output to 95 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.