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Measuring fragmentation of ambulatory care in a tripartite healthcare system

Overview of attention for article published in BMC Health Services Research, May 2013
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Title
Measuring fragmentation of ambulatory care in a tripartite healthcare system
Published in
BMC Health Services Research, May 2013
DOI 10.1186/1472-6963-13-176
Pubmed ID
Authors

Su Liu, Philip C Yeung

Abstract

BACKGROUND: Hong Kong has a tripartite healthcare system, where western medicine provided in both public and private sectors coexist with Chinese medicine practice. The purpose of this study is to measure fragmentation of ambulatory care experienced by the non-institutionalized population aged 15 and over in such a tripartite system, thus shed light on the ongoing primary care reform. METHODS: This is a cross-sectional secondary data analysis using the Thematic Household Survey, which was conducted by the Hong Kong Census and Statistics Department during November 2009 to February 2010 to collect territory-wide health-related information. Among 18,226 individuals with two or more ambulatory visits during the past 12 months before interview, we grouped each visit into one of the three care segments---public western, private western and Chinese medicine. Two individual-level measures were used to quantify longitudinal fragmentation of care across segments over the one-year period: Most Frequent Provider Continuity Index (MFPC) and Fragmentation of Care Index (FCI). Both are analyzed for distribution and subgroup comparison. A Tobit model was used to further examine the determinants of fragmentation. RESULTS: More than a quarter of individuals sought care in two or all three segments, with an average MFPC of 65% and FCI of 0.528. Being older, female, married, unemployed, uninsured, or born in mainland China, with lower education, lower income, higher number of chronic conditions or poorer health were found to have experienced higher fragmentation of care. We also found that, fragmentation of care increased with the total number of ambulatory care visits and it varied significantly depending on what segment the individual chose to visit most frequently---those chose private western clinics had lower FCI, compared with those chose public western or Chinese medicine as the most frequently visited segment. CONCLUSIONS: Even measured at healthcare segment level, people in Hong Kong experienced modest fragmentation of care. Individuals' health beliefs---as a result of the persistent habitual tendency and latitude incentivized by the system---may be behind the fragmented care we saw. Efforts are needed to alter health beliefs, targeting subgroups of vulnerable population, and create environments that promote better coordinated primary care.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Thailand 1 2%
Unknown 58 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 25%
Student > Ph. D. Student 10 17%
Student > Doctoral Student 5 8%
Student > Bachelor 5 8%
Student > Master 5 8%
Other 6 10%
Unknown 13 22%
Readers by discipline Count As %
Medicine and Dentistry 16 27%
Nursing and Health Professions 11 19%
Social Sciences 7 12%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Business, Management and Accounting 2 3%
Other 5 8%
Unknown 15 25%
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 17 May 2013.
All research outputs
#17,688,550
of 22,710,079 outputs
Outputs from BMC Health Services Research
#6,255
of 7,594 outputs
Outputs of similar age
#139,944
of 194,920 outputs
Outputs of similar age from BMC Health Services Research
#90
of 109 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,594 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 15th percentile – i.e., 15% 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 194,920 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.