Evidence map›Paper›PMID 37866957›Full record

ArticleSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2023

[Comparative Analysis of Influencing Factors of Health Service Utilization Among Urban and Rural Residents in Tibet].

Huaichang Zhong, Hai Xiong, Yaxi Zhou, Yuqi Liao, Yang Wan, Changbin Lei

Abstract readEnglish Abstract
In one paragraph

Article in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. [Body Function Changes and Prevention Strategies in High-Altitude Environment].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024
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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.

Huaichang ZhongDepartment of Gerontology/Neurology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
Hai XiongDepartment of Gerontology/Neurology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
Yaxi ZhouDepartment of Gerontology/Neurology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
Yuqi LiaoDepartment of Gerontology/Neurology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
Yang WanDepartment of Gerontology/Neurology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
Changbin LeiWest China Hospital Center for Evidence-based Nursing, Sichuan University/West China School of Nursing, Sichuan University, Chengdu 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To examine the differences and commonalities of factors influencing the utilization of health services among urban and rural residents in Tibet and to identify vulnerable populations in the utilization of health services, thereby providing references for the formulation of local health policies and the allocation of health resources. Methods: Using the Tibetan area data from the Sixth National Health Service Survey, we conducted statistical analysis of the health service utilization status of 8 297 residents of agro-pastoral areas and 2 179 residents of urban areas with Results: The two-week outpatient visit rates of residents in agro-pastoral areas and that of the urban residents were 65.3% and 57.1%, respectively, and the one-year hospitalization rates were 8.3% and 8.9%, respectively. The influencing factors of two-week outpatient visits for rural and pastoral residents included urban and rural health insurance coverage, Three Guarantees in One coverage, distance to medical facilities, chronic disease status, physical examination, family doctor contract status, employment status, and health status self-assessment. The influencing factors of two-week outpatient visit for urban residents included chronic disease status, urban and rural medical insurance coverage, health status self-assessment, health records, and physical examination. The factors influencing hospitalization for agro-pastoral residents were sex, age, marital status, urban and rural medical insurance coverage, Three Guarantees in One coverage, critical illness insurance, health self-assessment, mobility, health records, physical examination, and chronic disease status. The factors influencing the hospitalization of urban residents were sex, marital status, health status self-assessment, health records, urban employee medical insurance coverage, and chronic disease status. The factors influencing the hospitalization of urban residents were sex, marital status, health status self-assessment, health records, urban employee medical insurance coverage, and chronic disease status. Conclusion: The urban and rural residents in Tibet have relatively poor health and their awareness of seeking early medical help after they fall ill is relatively weak. The health institutions concerned should dedicate more attention to the vulnerable populations who have difficulty accessing health services, focus on the commonly shared influencing factors of health service utilization among urban and rural residents, take into account the differences, rationally allocate health resources, and improve the effective utilization rate of health services among residents in Tibet.

Indexed as

Health ServicesState MedicineChinaChronic DiseaseHospitalizationHumansRural PopulationTibetUrban PopulationAnalysis of influencing factorsComparative analysisHealth service utilizationTibetUrban and rural residents

Identifiers

PMID37866957
PMCPMC10579082

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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.