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Contribution of primary care to health: an individual level analysis from Tibet, China

Overview of attention for article published in International Journal for Equity in Health, December 2015
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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 (80th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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2 policy sources
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1 X user

Citations

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18 Dimensions

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22 Mendeley
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Title
Contribution of primary care to health: an individual level analysis from Tibet, China
Published in
International Journal for Equity in Health, December 2015
DOI 10.1186/s12939-015-0255-y
Pubmed ID
Authors

Wenhua Wang, Leiyu Shi, Aitian Yin, Zongfu Mao, Elizabeth Maitland, Stephen Nicholas, Xiaoyun Liu

Abstract

There have been significant improvements in health outcomes in Tibet, health disparities between Tibet and the rest of China has been greatly reduced. This paper tests whether there was a positive association between good primary care and better health outcomes in Tibet. A validated Tibetan version of the Primary Care Assessment Tool (PCAT-T) was used to collect data on 1386 patients aged over 18 years old accessing primary care. Self-rated health (SRH) was employed to measure health outcomes. A multiple binary logistic regression model was used to explore the association between primary care quality and self-rated health status after controlling for socio-demographic and lifestyle variables. This study found that primary care quality had a significant positive association with self-rated health status. Among the nine domains of PCAT-T, family centeredness domain had the highest Odds Ratio (OR = 1.013) with SRH. Patients located in rural area, with higher education levels, without depression, and less frequent drinking were more likely to self-rate as "good health" compared with the reference group. In Tibet, higher quality primary care was associated with better self-rated health status. Primary care should be much strengthened in future health system reform in Tibet.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 27%
Librarian 3 14%
Professor 1 5%
Other 1 5%
Unknown 11 50%
Readers by discipline Count As %
Medicine and Dentistry 5 23%
Social Sciences 2 9%
Nursing and Health Professions 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Mathematics 1 5%
Other 1 5%
Unknown 11 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 09 August 2020.
All research outputs
#5,040,018
of 25,051,161 outputs
Outputs from International Journal for Equity in Health
#925
of 2,182 outputs
Outputs of similar age
#79,280
of 401,880 outputs
Outputs of similar age from International Journal for Equity in Health
#21
of 48 outputs
Altmetric has tracked 25,051,161 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,182 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has gotten more attention than average, scoring higher than 57% 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 401,880 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 80% of its contemporaries.
We're also able to compare this research output to 48 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 58% of its contemporaries.