Evidence map›Paper›PMID 36388267›Full record

ArticleFrontiers in public health2022

Multimorbidity and catastrophic health expenditure: Evidence from the China Health and Retirement Longitudinal Study.

Haofei Li, Enxue Chang, Wanji Zheng, Bo Liu, Juan Xu, Wen Gu, Lan Zhou, Jinmei Li, Chaojie Liu, Hongjuan Yu and 1 more

Abstract read
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Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

11 authors.

Haofei LiDepartment of Health Economics, School of Health Management, Harbin Medical University, Harbin, China.
Enxue ChangDepartment of Health Economics, School of Health Management, Harbin Medical University, Harbin, China.
Wanji ZhengDepartment of Health Economics, School of Health Management, Harbin Medical University, Harbin, China.
Bo LiuDepartment of Health Economics, School of Health Management, Harbin Medical University, Harbin, China.
Juan XuDepartment of Health Economics, School of Health Management, Harbin Medical University, Harbin, China.
Wen GuDepartment of Health Economics, School of Health Management, Harbin Medical University, Harbin, China.
Lan ZhouDepartment of Health Economics, School of Health Management, Harbin Medical University, Harbin, China.
Jinmei LiHeilongjiang Medical Service Management Evaluation Center, Harbin, China.
Chaojie LiuSchool of Psychology and Public Health, La Trobe University, Melbourne, VIC, Australia.
Hongjuan YuDepartment of Hematology, The First Affiliated Hospital, Harbin Medical University, Harbin, China.
Weidong HuangDepartment of Health Economics, School of Health Management, Harbin Medical University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Population aging accompanied by multimorbidity imposes a great burden on households and the healthcare system. This study aimed to determine the incidence and determinants of catastrophic health expenditure (CHE) in the households of old people with multimorbidity in China. Methods: Data were obtained from the China Health and Retirement Longitudinal Study (CHARLS) conducted in 2018, with 3,511 old people (≥60 years) with multimorbidity responding to the survey on behalf of their households. CHE was identified using two thresholds: ≥10% of out-of-pocket (OOP) health spending in total household expenditure (THE) and ≥40% of OOP health spending in household capacity to pay (CTP) measured by non-food household expenditure. Logistic regression models were established to identify the individual and household characteristics associated with CHE incidence. Results: The median values of THE, OOP health spending, and CTP reached 19,900, 1,500, and 10,520 Yuan, respectively. The CHE incidence reached 31.5% using the ≥40% CTP threshold and 45.6% using the ≥10% THE threshold. It increased by the number of chronic conditions reported by the respondents (aOR = 1.293-1.855, Conclusion: Multimorbidity is a significant risk of CHE. Household CHE incidence increases with the number of reported chronic conditions. Socioeconomic and regional disparities in CHE incidence persist in China.

Indexed as

Catastrophic IllnessHealth ExpendituresChinaChronic DiseaseFemaleHumansLongitudinal StudiesMaleMultimorbidityRetirementcatastrophic health expenditureChinaeconomic burdenelderlymultimorbidity

Identifiers

PMID36388267
PMCPMC9643627

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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.