Evidence map›Paper›PMID 35173004›Full record

ArticleBMJ open2022

Impact of public health insurance coverage of novel anticancer medication on medical expenditure and patient affordability in a provincial medical centre of China: a propensity score-matching analysis with the quasi-experimental design.

Yifan Diao, Mengbo Lin, Kai Xu, Ji Huang, Xiongwei Wu, Mingshuang Li, Jing Sun, Hong Li

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Yifan DiaoSchool of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Mengbo LinAffiliated Clinical Medical Institute of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, Fujian, China.
Kai XuAffiliated Clinical Medical Institute of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, Fujian, China.
Ji HuangAffiliated Clinical Medical Institute of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, Fujian, China.
Xiongwei WuAffiliated Clinical Medical Institute of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, Fujian, China.
Mingshuang LiSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Jing SunSchool of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China sunjing@sph.pumc.edu.cn.ORCID 0000-0002-4646-1174
Hong LiAffiliated Clinical Medical Institute of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLittle is known about the impact of the government's efforts in having novel anticancer medicines covered by the public health insurance system in China. This study targeted the above policy implemented in Fujian province in 2017, analysed the policy impact on the medical expenditure of cancer treatment and patient affordability based on the clinical data of Fujian provincial medical centre.

methodsThe study included 253 human epidermal growth factor receptor 2-positive patients with breast cancer who completed at least one course of trastuzumab treatment extracted from the hospital health information system of the provincial medical centre of Fujian. We adopted the propensity score-matching method to mimic a quasi-experimental design to estimate the impact of the public health insurance coverage policy on all the indicated patients with a before-after comparison of the total breast cancer-associated direct medical expenditures for a standard course of treatment or maintenance treatment and the proportionate patient out-of-pocket (OOP) expenditure based on the real clinical data.

resultsWe found evidence of an association between the public health insurance coverage of novel breast cancer medication and the reductions of the medical expenditure by US$18661.02 (95% CI 13 836.57 to 28 201.45), and the proportionate patient OOP expenditure by 24% (95% CI0.20 to 0.27). The medical expenditure and the proportionate patient OOP expenditure might be generally reduced.

conclusionsThe coverage of innovative antibreast cancer medicines by the public health insurance was found to be associated with a reduction of the medical expenditure and share of patient OOP expenditure for cancer treatment of the indicated patients. Patients with lower ability-to-pay did not benefit well from the coverage policy. To maximise the welfare of the public health insurance coverage of novel anticancer medication, the study called for strengthened health insurance benefit packages of the rural patient and the patient enrolled in the urban and rural resident health insurance programme, who might have lower ability-to-pay and need more support from the public security system.

Indexed as

Antineoplastic AgentsBreast NeoplasmsChinaCosts and Cost AnalysisFemaleHealth ExpendituresHospitalsHumansInsurance CoverageInsurance, HealthPropensity ScorePublic HealthResearch DesignAntineoplastic Agentsbreast tumourshealth economicshealth policy

Identifiers

PMID35173004
PMCPMC8852767

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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.