Evidence map›Paper›PMID 37816559›Full record

ArticleBMJ open2023

Equity in health service utilisation among middle-aged and elderly people with multiple chronic conditions in China: evidence from longitudinal data of 2011-2018 CHARLS.

Tianjiao Zhang, Min Su, Dongxu Li, Weile Zhang, Fan Yang, Wenhui Li

Abstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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

6 authors.

Tianjiao ZhangSchool of Public Administration, Inner Mongolia University, Hohhot, China.ORCID 0000-0003-2036-7806
Min SuSchool of Public Administration, Inner Mongolia University, Hohhot, China sumin1227@126.com.
Dongxu LiSchool of Public Administration, Inner Mongolia University, Hohhot, China.
Weile ZhangSchool of Public Administration, Inner Mongolia University, Hohhot, China.
Fan YangSchool of Public Administration, Inner Mongolia University, Hohhot, China.
Wenhui LiSchool of Public Administration, Inner Mongolia University, Hohhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEquity in health service utilisation is a central objective for health systems. Middle-aged and elderly patients with multiple chronic conditions (MCCs) are particularly vulnerable to healthcare inequity. This study aimed to update the information on the trends in the incidence and equity of outpatient health service utilisation (OHSU) and inpatient health service utilisation (IHSU) for middle-aged and elderly MCCs patients in China, identify socioeconomic determinants that may contribute to inequity, and suggest optimisation strategies to mitigate this disparity.

methodsPanel data obtained from four waves of the China Health and Retirement Longitudinal Study (CHARLS) were used to determine the trends in OHSU and IHSU. The inequity in OHSU and IHSU was measured by the Concentration Index (CI) and Horizontal Inequity Index (HI), which is a valid measure of health service utilisation equity. The decomposition model of the CI was set up to explore the contribution of various determinants of overall equity.

resultsThe annual rate of OHSU gradually decreased from 29.32% in 2011 to 27.27% in 2018. The HI remained positive and decreased from 0.0803 in 2011 to 0.0662 in 2018, indicating the existence of pro-rich inequity. The annual rate of IHSU gradually increased from 13.31% in 2011 to 19.89% in 2018. The HI remained positive and showed a declining trend from 0.2363 in 2011 to 0.0574 in 2018, evidencing pro-rich inequity; however, a trend towards the easing of inequity was observed.

conclusionsPro-rich inequity was present in both OHSU and IHSU among middle-aged and elderly MCCs patients in China. Economic status, area, education and age were the main contributors to pro-rich inequity. Concerted efforts are needed to allocate resources for mitigating health service utilisation inequity in middle-aged and elderly people with MCCs.

Indexed as

Multiple Chronic ConditionsRetirementAgedAmbulatory CareChinaHealthcare DisparitiesHumansLongitudinal StudiesMiddle AgedSocioeconomic FactorsHEALTH ECONOMICSHealth EquityHealth Services AccessibilityHEALTH SERVICES ADMINISTRATION & MANAGEMENT

Identifiers

PMID37816559
PMCPMC10565265

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.