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The effects of continuity of care on hospital utilization in patients with knee osteoarthritis: analysis of Nationwide insurance data

Overview of attention for article published in BMC Health Services Research, March 2018
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Title
The effects of continuity of care on hospital utilization in patients with knee osteoarthritis: analysis of Nationwide insurance data
Published in
BMC Health Services Research, March 2018
DOI 10.1186/s12913-018-2951-y
Pubmed ID
Authors

Boyoung Jung, Kyoung Hee Cho, Dong Hyun Lee, Soyoon Kim

Abstract

Korea's rapidly aging population has led to a rise in the prevalence of knee osteoarthritis (which reached upwards of 21.3% in 2017) in elderly people aged 65 years and over. Most patients with knee osteoarthritis require ongoing management in the community or through primary care. Continuity of care is a desirable attribute of primary care. However, previous studies on the association between continuity of care and health outcomes have focused on specific disease populations, particularly diabetes mellitus and hypertension. The objectives of this study were to determine whether there is an association between continuity of care for outpatients with knee osteoarthritis and health outcomes. We conducted a cohort study using claims data from 2014. The study population included 131,566 patients. We measured hospital admission and medical costs during the final 3 months and the continuity of care by Most Frequent Provider Continuity (MFPC), Modified Modified Continuity Index (MMCI), and Continuity of Care (COC) index in the 9 preceding months, using multiple logistic regression analyses to determine which index best explains continuity. We evaluated the relationship between COC and hospital admissions, using negative binomial regression analysis due to over-dispersion. Finally, multiple regressions were used to examine the relationship between the COC and medical costs. We selected the COC index to determine the association between hospital admission and cost; the area under the receiver operating characteristic curve (AUC) of the COC was the largest (0.904), while those for the MFPC (0.894) and MMCI (0.893) were similar. The negative binomial regression analysis showed that continuity of care was significantly related to hospitalization, with the relative risk (RR) of hospital admission being low for patients with high continuity of care [RR = 27.17 for those with the reference group COC (0.76-1.00); 95% CI, 3.09-3.51]. Continuity of care was significantly related to medical costs after considering other covariates. A higher COC index was associated with a lower cost. Higher continuity of care for knee osteoarthritis patients might decrease hospital admission and medical costs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 12%
Student > Bachelor 6 10%
Student > Master 5 9%
Other 4 7%
Student > Ph. D. Student 4 7%
Other 13 22%
Unknown 19 33%
Readers by discipline Count As %
Nursing and Health Professions 13 22%
Medicine and Dentistry 12 21%
Unspecified 3 5%
Psychology 2 3%
Sports and Recreations 2 3%
Other 5 9%
Unknown 21 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 March 2018.
All research outputs
#16,805,811
of 24,717,821 outputs
Outputs from BMC Health Services Research
#6,131
of 8,357 outputs
Outputs of similar age
#217,407
of 336,543 outputs
Outputs of similar age from BMC Health Services Research
#182
of 222 outputs
Altmetric has tracked 24,717,821 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,357 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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 336,543 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 222 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.