↓ Skip to main content

Factors predicting health services use among older people in China: An analysis of the China Health and Retirement Longitudinal Study 2013

Overview of attention for article published in BMC Health Services Research, February 2016
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
118 Dimensions

Readers on

mendeley
244 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Factors predicting health services use among older people in China: An analysis of the China Health and Retirement Longitudinal Study 2013
Published in
BMC Health Services Research, February 2016
DOI 10.1186/s12913-016-1307-8
Pubmed ID
Authors

Cathy Honge Gong, Hal Kendig, Xiaojun He

Abstract

Rapid population ageing in China is increasing the numbers of older people who are likely to require health services in response to higher levels of poor perceived health and chronic diseases. Understanding factors influencing health services use at late life will help to plan for increasing needs for health care, reducing inequalities in health services use and releasing severe pressures on a highly variable health care system that has constrained public resources and increasing reliance on health insurance and user payments. Drawing on the nationally representative China Health and Retirement Longitudinal Study 2013 data, we apply the Andersen healthcare utilization conceptual model to binary logistic regression multivariate analyses to examine the joint predictors of physical examinations, outpatient and inpatient care among the middle-aged and elderly in China. The multivariate analyses find that both physical examinations and inpatient care rates increase significantly by age when health deteriorates. Females are less likely to use inpatient care. Significant socio-economic variations exist in healthcare utilization. Older people with higher education, communist party membership, urban residence, non-agricultural household registration, better financial situation are more likely to have physical examinations or inpatient care. Factors influencing all three types of health care utilization are household expenditure, losing a partner, having multiple chronic diseases or perceiving poor health. With activities of daily living limitations or pain increases the probability of seeing a doctor while with functional loss increases the rates of having physical examinations, but being the ethnic minorities, no social health insurance, with depression, fair or poor memory could be a barrier to having physical examinations or seeing a doctor, which might delay the early diagnose of severe health problems among these groups. Not drinking, not smoking and regular physical exercises are adaptations after having health problems. As a rapidly ageing society, in order to address the increasing needs and inequalities in health care utilization, China is facing a massive challenge to reform the current health care system, improve equitable access to health insurance and financial affordability for the most disadvantaged, as well as to provide more health education and information to the general public.

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 244 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 244 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 43 18%
Researcher 27 11%
Student > Ph. D. Student 25 10%
Student > Bachelor 19 8%
Student > Postgraduate 16 7%
Other 27 11%
Unknown 87 36%
Readers by discipline Count As %
Nursing and Health Professions 37 15%
Medicine and Dentistry 37 15%
Psychology 19 8%
Social Sciences 18 7%
Economics, Econometrics and Finance 9 4%
Other 30 12%
Unknown 94 39%
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 23 February 2016.
All research outputs
#18,443,697
of 22,851,489 outputs
Outputs from BMC Health Services Research
#6,481
of 7,644 outputs
Outputs of similar age
#216,481
of 298,014 outputs
Outputs of similar age from BMC Health Services Research
#78
of 89 outputs
Altmetric has tracked 22,851,489 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,644 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 7th percentile – i.e., 7% 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 298,014 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.