Evidence map›Paper›PMID 32373337›Full record

ArticleJournal of global health2020

How to control the economic burden of treating cardio-cerebrovascular diseases in China? Assessment based on System of Health Accounts 2011.

Yalan Zhu, Chunping Liu, Luwen Zhang, Quan Fang, Shuang Zang, Xin Wang

Abstract read
In one paragraph

Article in Journal of global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. 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

6 authors.

Yalan ZhuCollege of Humanities and Social Sciences, China Medical University, Shenyang, China.
Chunping LiuAdministration School, Hainan Medical University, Haikou, China.
Luwen ZhangSchool of Health Services Management, Southern Medical University, Guangzhou, China.
Quan FangCollege of Humanities and Social Sciences, China Medical University, Shenyang, China.
Shuang ZangSchool of Nursing, China Medical University, Shenyang, China.
Xin WangCollege of Humanities and Social Sciences, China Medical University, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the past two decades, chronic non-communicable diseases have become the leading disease burden, and cardio-cerebrovascular diseases (CCVD) are the main causes of death in chronic diseases. It has become the focus of global public health attention, in this study, System of Health Accounts 2011 (SHA 2011) is used to calculate health expenditure, discuss its economic burden, and put forward countermeasures.

methodsData were collected by multi-stage stratified random sampling and the medical expenses of patients with CCVD were calculated based on SHA 2011, from the dimensions of the financing plan, institutional flow, and service function. Correlation and regression analysis were conducted by controlling factors influencing hospitalization expenses. All analysis were conducted by software SPSS.

resultsThe current health expenditure (CHE) of CCVD in Dalian was 3.986 billion Yuan, accounting for 12.88% of the CHE (30.947 billion Yuan). The current curative expenditure (CCE) of CCVD was 2.947 billion Yuan. 40.39% of CCVD financing came from social medical insurance, and the proportion of family health financing was higher (39.06%). The expenditures were consumed by general hospitals and elderly patients.

conclusionsThe expenditure burden of CCVD in Dalian was massive, and wasted the health resource severely. It is necessary for the government to adjust the financing structure, reallocate the expenses of CCVD, and make institutional flow and functional distribution more reasonable.

Indexed as

Cerebrovascular DisordersCost of IllnessHealthcare FinancingAdolescentAdultAgedAged, 80 and overChildChild, PreschoolChinaFemaleFinancing, PersonalGovernment ProgramsHealth ExpendituresHospitalizationHumans

Identifiers

PMID32373337
PMCPMC7182356

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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.