Evidence map›Paper›PMID 29127225›Full record

ArticleBMJ open2017

Exploring the characteristics of the high-cost population from the family perspective: a cross-sectional study in Jiangsu Province, China.

Yudong Miao, Dongfu Qian, Sandeep Sandeep, Ting Ye, Yadong Niu, Dan Hu, Liang Zhang

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2017. 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
1.1field-weighted citation impact, top 18% of its field
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, 13 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Yudong MiaoSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Dongfu QianSchool of Health Policy and Management, Nanjing Medical University, Nanjing, Jiangsu, China.
Sandeep SandeepSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Ting YeSchool 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.
Dan HuSchool of Health Policy and Management, Nanjing Medical University, Nanjing, Jiangsu, China.
Liang ZhangSchool of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Huazhong University of Science and Technology · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcross a range of healthcare settings, 5% of the population accounts for half of healthcare spending: these patients are identified as a 'high-cost population'. Characterising high-cost users is essential for predicting potential high-cost patients and the development of appropriate interventions to improve the management and financing of these patients.

objectiveThis cross-sectional study aimed to explore the characteristics of this high-cost population from a family perspective in China and provide suggestions for social health insurance policy development.

methodsThis study used data from the Fifth Health Service Investigation of Jiangsu Province (2013), and 12 600 families were enrolled for analysis. Households whose medical expenditures were among the top 5% were identified to be high-cost families. A t-test, a Χ

resultsHigh-cost families (n=631, 5%) accounted for 44.9% of the total medical expenditure of sampled families. High-cost families had 3.2 members and 1.2 chronic disease patients per household, which is significantly more than the 2.9 members and 0.7 people in the remaining families, respectively (p

conclusionThe 5% high-cost families in Jiangsu Province accounted for approximately half of medical expenditures. The effectiveness of Chinese Social Health Insurance in lowering high-cost families' risk of catastrophic health expenditure was modest. Policymakers need to ascertain the priority of lowering the burden of high-cost families' out-of-pocket expenses through improving the reimbursement proportion and reducing avoidable medical services.

Indexed as

Health ExpendituresHealth ServicesChinaCross-Sectional StudiesHealth PolicyHumansInsurance, HealthSocial Securityhealth economicshealth policy

Identifiers

PMID29127225
PMCPMC5695451
OpenAlexW2768033397

What OpenQuestion holds

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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.