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Determinants of basic public health services provision by village doctors in China: using non-communicable diseases management as an example

Overview of attention for article published in BMC Health Services Research, February 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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5 tweeters

Citations

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23 Dimensions

Readers on

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39 Mendeley
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Title
Determinants of basic public health services provision by village doctors in China: using non-communicable diseases management as an example
Published in
BMC Health Services Research, February 2016
DOI 10.1186/s12913-016-1276-y
Pubmed ID
Authors

Tongtong Li, Trudy Lei, Zheng Xie, Tuohong Zhang

Abstract

To ensure equity and accessibility of public health care in rural areas, the Chinese central government has launched a series of policies to motivate village doctors to provide basic public health services. Using chronic disease management and prevention as an example, this study aims to identify factors associated with village doctors' basic public health services provision and to formulate targeted interventions in rural China. Data was obtained from a survey of village doctors in three provinces in China in 2014. Using a multistage sampling process, data was collected through the self-administered questionnaire. The data was then analyzed using multilevel logistic regression models. The high-level basic public health services for chronic diseases (BPHS) provision rate was 85.2 % among the 1149 village doctors whom were included in the analysis. Among individual level variables, more education, more training opportunities, receiving more public health care subsidy (OR = 3.856, 95 % CI: 1.937-7.678, and OR = 4.027, 95 % CI: 1.722-9.420), being under integrated management (OR = 1.978, 95 % CI: 1.132-3.458), and being a New Cooperative Medical Scheme insurance program-contracted provider (OR = 2.099, 95 % CI: 1.187-3.712) were associated with the higher BPHS provision by village doctors. Among county level factors, Foreign Direct Investment Index showed a significant negative correlation with BPHS provision, while the government funding for BPHS showed no correlation (P > 0.100). Increasing public health care subsidies received by individual village doctors, availability and attendance of training opportunities, and integrated management and NCMS contracting of village clinics are important factors in increasing BPHS provision in rural areas.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 5%
United States 1 3%
Unknown 36 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Student > Ph. D. Student 5 13%
Student > Master 5 13%
Student > Doctoral Student 4 10%
Student > Bachelor 4 10%
Other 9 23%
Unknown 5 13%
Readers by discipline Count As %
Social Sciences 8 21%
Medicine and Dentistry 7 18%
Nursing and Health Professions 5 13%
Psychology 5 13%
Agricultural and Biological Sciences 2 5%
Other 7 18%
Unknown 5 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 18 February 2016.
All research outputs
#5,782,641
of 11,295,313 outputs
Outputs from BMC Health Services Research
#1,700
of 3,586 outputs
Outputs of similar age
#107,508
of 294,149 outputs
Outputs of similar age from BMC Health Services Research
#47
of 87 outputs
Altmetric has tracked 11,295,313 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,586 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has gotten more attention than average, scoring higher than 51% 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 294,149 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.