Evidence map›Paper›PMID 29549207›Full record

ArticleBMJ open2018

Forgone care among middle aged and elderly with chronic diseases in China: evidence from the China Health and Retirement Longitudinal Study Baseline Survey.

Xiangjun Li, Mingsheng Chen, Zhonghua Wang, Lei Si

Abstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Xiangjun LiSchool of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Mingsheng ChenSchool of Health Policy & Management, Nanjing Medical University, Nanjing, China.
Zhonghua WangSchool of Health Policy & Management, Nanjing Medical University, Nanjing, China.
Lei SiCentre for the Health Economy, Macquarie University, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIn general, published studies analyse healthcare utilisation, rather than foregone care, among different population groups. The assessment of forgone care as an aspect of healthcare system performance is important because it indicates the gap between perceived need and actual utilisation of healthcare services. This study focused on a specific vulnerable group, middle-aged and elderly people with chronic diseases, and evaluated the prevalence of foregone care and associated factors among this population in China.

methodsData were obtained from a nationally representative household survey of middle-aged and elderly individuals (≥45 years), the China Health and Retirement Longitudinal Study, which was conducted by the National School of Development of Peking University in 2013. Descriptive statistics were used to analyse sample characteristics and the prevalence of foregone care. Andersen's healthcare utilisation and binary logistic models were used to evaluate the determinants of foregone care among middle-aged and elderly individuals with chronic diseases.

resultsThe prevalence of foregone outpatient and inpatient care among middle-aged and elderly people was 10.21% and 6.84%, respectively, whereas the prevalence of foregone care for physical examinations was relatively high (57.88%). Predisposing factors, including age, marital status, employment, education and family size, significantly affected foregone care in this population. Regarding enabling factors, individuals in the highest income group reported less foregone inpatient care or physical examinations compared with those in the lowest income group. Social healthcare insurance could significantly reduce foregone care in outpatient and inpatient situations; however, these schemes (except for urban employee medical insurance) did not appear to have a significant impact on foregone care involving physical examinations.

conclusionIn China, policy-makers may need to further adjust healthcare policies, such as health insurance schemes, and improve the hierarchical medical system, to promote reduction in foregone care and effective utilisation of health services.

Indexed as

AgedChinaChronic DiseaseFemaleHealth ServicesHealth Services for the AgedHumansInsurance, HealthLongitudinal StudiesMaleMiddle AgedPrevalenceRetirementchronic diseasesforegone carehealth caremiddle-aged and elderly

Identifiers

PMID29549207
PMCPMC5857704

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.