Evidence map›Paper›PMID 35241463›Full record

ArticleBMJ open2022

Medical expenditure and its influencing factors of patients with hypertension in Shanxi Province, China: a study based on 'System of Health Accounts 2011' and multiple-layer perceptron neural network.

Guojie Liu, Quan Fang, Xinyu Ji, Jing OuYang, Yalan Zhu, Leying Wang, Xin Wang

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Guojie Liu *School of Forensic Medicine, China Medical University, Shenyang, China.
Quan Fang *College of Health Management, China Medical University, Shenyang, China.
Xinyu JiFirst Hospital of China Medical University, Shenyang, China.
Jing OuYangHumanity and Management College, Shaanxi University of Chinese Medicine, Xianyang, China.
Yalan ZhuCollege of Health Management, China Medical University, Shenyang, China.
Leying WangFirst Clinical Department, China Medical University, Shenyang, China.
Xin WangCollege of Health Management, China Medical University, Shenyang, China wxinsmile@qq.com.ORCID 0000-0001-7591-0103

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo study the medical expenditure and influencing factors of patients with hypertension in Shanxi Province, China.

designA cross-sectional study.

setting1088 medical institutions, including general hospitals, traditional Chinese medicine hospitals, special hospitals, basic medical institutions and public health institutions.

participants180 441 hypertensive outpatients and 14 763 inpatients from 1 January to 31 December 2017. PRIMARY AND SECONDARY OUTCOME MEASURES: Curative care expenditure for hypertension (CCE

resultsIn 2017, CCE

conclusionsThe medical expenditure of hypertension is still heavy for individuals and society. The diagnosis and treatment capacities of primary healthcare system has been enhanced. New rural cooperation medical insurance and urban employee basic medical insurance have a trend of overusing, and the burden of family healthcare expenditure is still heavy. To ease the economic burden of patients with hypertension and improve the efficiency of social resources utilisation, policymakers should pay more attention to key groups, further increase support for primary healthcare system, standardise the treatment and reimbursement of hypertension and incline the reimbursement policy to outpatient service.

Indexed as

Health ExpendituresHypertensionChinaCross-Sectional StudiesHumansNeural Networks, Computerhealth economicshealth policyhealth services administration & managementhypertension

Identifiers

PMID35241463
PMCPMC8895933

What OpenQuestion holds

Textmetadata
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.