Evidence map›Paper›PMID 32723325›Full record

ArticleBMC health services research2020

What contributes to medical debt? Evidence from patients in rural China.

Yanjiao Xin, Junnan Jiang, Shanquan Chen, Fangxu Gong, Li Xiang

Abstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Yanjiao XinSchool of Medicine and Health Management, Huazhong University of Science and Technology, 13 Hangkong Road, Qiaokou District, Wuhan, 430030, China.
Junnan JiangSchool of Medicine and Health Management, Huazhong University of Science and Technology, 13 Hangkong Road, Qiaokou District, Wuhan, 430030, China.
Shanquan ChenSchool of Clinical Medicine, University of Cambridge, Cambridgeshire, UK.
Fangxu GongSchool of Medicine and Health Management, Huazhong University of Science and Technology, 13 Hangkong Road, Qiaokou District, Wuhan, 430030, China.
Li XiangSchool of Medicine and Health Management, Huazhong University of Science and Technology, 13 Hangkong Road, Qiaokou District, Wuhan, 430030, China. xllyf@hust.edu.cn.

Funding

National Natural Science Foundation of China 71573095
6 · The paper itself

Abstract

backgroundRural households in developing countries usually have severe medical debt due to high out-of-pocket (OOP) payments, which contributes to bankruptcy. China implemented the critical illness insurance (CII) in 2012 to decrease patients' medical expenditure. This paper aimed to explore the medical debt of rural Chinese patients and its influencing factors.

methodsA questionnaire survey of health expenditures and medical debt was conducted in two counties of Central and Western China in 2017. Patients who received CII were used as the sample on the basis of multi-stage stratified cluster sampling. Descriptive statistics and multivariate analysis of variance were used in all data. A two-part model was used to evaluate the occurrence and extent of medical debt.

resultsA total of 826 rural patients with CII were surveyed. The percentages of patients incurring medical debt exceeded 50% and the median debt load was 20,000 Chinese yuan (CNY, 650 CNY = US$100). Financial assistance from kin (P < 0.001) decreased the likelihood of medical debt. High inpatient expenses (IEs, P < 0.01), CII reimbursement ratio (P < 0.001), and non-direct medical costs (P < 0.001) resulted in increased medical debt load.

conclusionsMedical debt is still one of the biggest problems in rural China. High IEs, CII reimbursement ratio, municipal or high-level hospitals were the risk determinants of medical debt load. Financial assistance from kin and household income were the protective factors. Increasing service capability of hospitals in counties could leave more patiemts in county-level and township hospitals. Improving CII with increased reimbursement rate may also be issues of concern.

Indexed as

AdolescentAdultAgedChinaCritical IllnessFemaleHealth ExpendituresHumansInsurance CoverageInsurance, HealthMaleMiddle AgedRural PopulationSurveys and QuestionnairesYoung AdultCritical illness insuranceMedical debtRural ChinaSocial supportTwo-part model

Identifiers

PMID32723325
PMCPMC7388505

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LicenceCC BY
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Registered trials

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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.