Evidence map›Paper›PMID 33924617›Full record

ArticleInternational journal of environmental research and public health2021

Medical Treatment Behaviour of the Elderly Population in Shanghai: Group Features and Influencing Factor Analysis.

Shangguang Yang, Danyang Wang, Chen Li, Chunlan Wang, Mark Wang

Abstract read
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Article in International journal of environmental research and public health, 2021. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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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

5 authors.

Shangguang YangSchool of Business, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China.
Danyang WangSchool of Business, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China.ORCID 0000-0003-0897-1314
Chen LiInstitute of Future Cities, Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong 999077, China.
Chunlan WangChinese Modern City Research Center, School of Social Development, East China Normal University, Shanghai 200062, China.
Mark WangSchool of Geography, The University of Melbourne, Parkville, VIC 3010, Australia.ORCID 0000-0002-1813-3632

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile Chinese cities are pursuing economic development, meeting citizen demand for medical treatment has only gradually been put on the agenda. Theoretically, in the second half of a person's life, demand for medical treatment will rise sharply. Given limited medical resources, the match between demand and supply becomes more difficult. We conducted questionnaires in Shanghai to describe whether there are obvious group differences in the elderly population's medical treatment options and provide empirical evidence on the determinants.

methodWe collected 439 Shanghai Elderly Medical Demand Characteristics Questionnaires, which included five parts: personal information, health status, elderly person's medical preference and expectation, satisfaction level for hospitals services, and medical insurance. We set up virtual explanatory variables according to the different medical behaviours of the elderly, and control variables composed of individual characteristics, socioeconomic characteristics, medical needs, medical resource availability, and medical expenditure. We used the MLR model to investigate medical treatment behaviour choice.

resultsThe medical treatment behaviour of the elderly population in Shanghai is affected by multiple factors. When experiencing physical discomfort, most of them choose to go to the hospital (64.69%). Age, income, household registration, and medical insurance reimbursement policy play a role in their decision-making. For general diseases, the proportion choosing specialist hospitals or community clinics is the highest (40.78%). Age, marital status, residential status, physical state, objective distance, medical expenses, and other factors have a significant impact. For severe diseases, they are more inclined (71.07%) to visit general hospitals, with the individual's physical condition, living status, and accessibility to hospital resources more likely to affect their behaviour.

conclusionFirstly, the importance of each factor varies depending on the conditions. Secondly, it may be more appropriate for China's elderly health insurance system to set reimbursement rates based on the patient's condition and disease type. Thirdly, medical behaviour has a distance friction effect, but the allocation of public service resources shows a strong centripetal concentration. It is necessary for the government to show due care about the regional distribution of the elderly population and to promote the rational distribution of medical resources in Shanghai.

Indexed as

Health ExpendituresInsurance, HealthAgedChinaFactor Analysis, StatisticalHumansSurveys and QuestionnairesChinaelderly populationinfluencing factorsmedical treatment behaviourShanghai

Identifiers

PMID33924617
PMCPMC8070517

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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.