Evidence map›Paper›PMID 35864496›Full record

ArticleCost effectiveness and resource allocation : C/E2022

The influence of cross-regional medical treatment on total medical expenses, medical insurance payments, and out-of-pocket expenses of patients with malignant tumors in Chinese low-income areas.

Bokai Zhang, Haixin Wang, Hongyu Zhang, Guomei Tian, Ting Zhang, Qi Shi, Jian Liu, Jinpeng Xu, Jingchu Liu, Qunhong Wu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cost effectiveness and resource allocation : C/E, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 15 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

11 authors at 2 institutions in 1 country.

Bokai Zhang *School of Health Management, Harbin Medical University, Harbin, 150081, China.
Haixin Wang *School of Health Management, Harbin Medical University, Harbin, 150081, China.
Hongyu Zhang *School of Health Management, Harbin Medical University, Harbin, 150081, China.
Guomei Tian *Department of Nuclear Medicine, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Ting ZhangSchool of Health Management, Harbin Medical University, Harbin, 150081, China.
Qi ShiSchool of Health Management, Harbin Medical University, Harbin, 150081, China.
Jian LiuSchool of Health Management, Harbin Medical University, Harbin, 150081, China.
Jinpeng XuSchool of Health Management, Harbin Medical University, Harbin, 150081, China.
Jingchu LiuSchool of Public Health, Harbin Medical University, Harbin, 150081, China.
Qunhong WuSchool of Health Management, Harbin Medical University, Harbin, 150081, China.
Zheng KangSchool of Health Management, Harbin Medical University, Harbin, 150081, China. kangzheng@hrbmu.edu.cn.
Harbin Medical University · CNFourth Affiliated Hospital of Harbin Medical University · CN

Funding

Qunhong Wu 19AZD013Zheng Kang 71573068
6 · The paper itself

Abstract

backgroundIn recent years, due to the increasing number of cross-regional medical patients, countries around the world have issued a series of policies or regulations to reduce their out-of-pocket burden. In this context, this study intended to explore the impact of the Spatio-temporal characteristics of cross-regional medical treatment on total medical expenses, medical insurance payments, and out-of-pocket expenses of patients with malignant tumors in low-income areas.

methodsThis study included 54,904 data of cross-provincial medical treatment of malignant tumor patients insured in Heilongjiang Province, China in 2020. Firstly, Microsoft Excel 2019 and ArcGIS 10.2 were applied to conduct a descriptive analysis of the Spatio-temporal characteristics of their cross-provincial medical treatment. Then, binary and multivariate logistic regression models were used to explore the specific impact of economic level and geographical distance of medical regions on total medical expenses, medical insurance payments, and out-of-pocket expenses.

resultsThe number of cross-regional medical patients showed a gradual upward trend from February to December, and fell back in January. They were concentrated in regions with high economic level and short distance from the insured region, where were more likely to form the group with high out-of-pocket expenses (AOR = 3.620, P < 0.001; AOR = 1.882, P < 0.001). While this possibility in middle-distance medical regions were less (AOR = 0.545, P < 0.001). Afterwards, two sensitivity analysis methods showed that the results were robust.

conclusionThe number of cross-regional medical patients with malignant tumors in low-income areas is affected by seasonal factors, meanwhile, their total medical expenses, actual medical insurance payment levels, and out-of-pocket expenses are all affected by the economic level and geographical distance of medical regions. And the middle-distance medical regions may be the best choice for patients with planned cross-regional medical treatment. These provide some evidence for policymakers to improve the fairness and sustainability of medical security for cross-regional medical patients and reduce their direct economic burden of disease.

Indexed as

ChinaCross-regionalOut-of-pocket expensePatient

Identifiers

PMID35864496
PMCPMC9306213
OpenAlexW4286493387

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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.