Evidence map›Paper›PMID 29934397›Full record

ArticleBMJ open2018

Medical expenditure clustering and determinants of the annual medical expenditures of residents: a population-based retrospective study from rural China.

Yan Zhang, Shan Lu, Yadong Niu, Liang Zhang

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 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.

  1. Article
  2. Subgroups of High-Cost Patients and Their Preventable Inpatient Cost in Rural China.International journal of health policy and management · 2024
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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.

Yan ZhangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.ORCID 0000-0003-3183-0034
Shan LuSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Yadong NiuSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Liang ZhangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify the characteristics of high-cost (HC) patients and the determinants of the annual medical expenditures of Chinese rural residents.

methodsMedical expenditure clustering was performed by Lorentz curve and Gini index. T and X

designA cluster sampling study was performed to identify those residents who availed healthcare services and to assign them to HC (top 5%), moderate-cost (top 30%) and low-cost (others) groups based on their annual medical expenditures.

settingThe annual healthcare utilisation was calculated by using data from the population-based database of the 2014 New Rural Cooperative Medical System.

participantsA total of 478 051 residents who availed healthcare services were recruited for the retrospective study in 2014. The annual medical expenditures of these residents were used as the research object.

resultsThe total medical expenditures of Macheng city residents for the year 2014 have a Gini index of 0.81 and around 68.01% of these expenditures can be attributed to HC patients. Female residents (51.5%) and persons aged over 60 years (34.48%) who are suffering from diseases that are difficult to diagnose have a high tendency to accumulate high medical costs. The annual medical expenditures of people living in the same village or town tend to be approximated. Age, disease category, inpatient status, healthcare utilisation and utilisation level are identified as the determinants of annual medical expenditures.

conclusionsThe medical expenditures of rural residents are clustered at a remarkably high level, and HC patients are suffering from high economic burden. Therefore, policy-makers must guide these patients in seeking appropriate healthcare services and improve their management of healthcare quality to reduce the unnecessary healthcare utilisation of these patients. TRIAL REGISTRATION NUMBER: ChiCTR-OOR-14005563.

Indexed as

AdultAgedAged, 80 and overChinaCluster AnalysisDelivery of Health CareFamily CharacteristicsFemaleHealth ExpendituresHumansInsurance, HealthLinear ModelsLogistic ModelsMaleMiddle AgedRetrospective Studieshealth economicshigh-costmedical expenditurepatient flow

Identifiers

PMID29934397
PMCPMC6020986

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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.