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运用 GIS 技术，根据地理位置和人口统计学标准，调查初级保健设施在紧急情况下的效率。

Investigate the efficiency of primary care facilities in emergency situations by application of geographical and demographic standards using GIS.

机构信息

Faculty of Public Health, Airlangga University, Surabaya, East Java, 60114, Indonesia.

Faculty of Geodesy and Geomatics Engineering, Bandung Institute of Technology, Bandung, West Java, 40132, Indonesia.

出版信息

F1000Res. 2024 Dec 23;12:1579. doi: 10.12688/f1000research.140107.2. eCollection 2023.

DOI:10.12688/f1000research.140107.2
PMID:39474133
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11519617/
Abstract

BACKGROUND

This study applied geographical standards (coverage distance) and demographic standards to investigate the capabilities of primary healthcare facilities to cover the largest area of the study area and the service area that can be accessed. This study was conducted to find out the sufficient number of primary healthcare (PHC) centers required to provide healthcare services to the entire community.

METHODS

Data was obtained by applying geographic information system (GIS) techniques to analyze primary care facilities using the demographic and geographic standards for primary care facilities.

RESULTS

PHC centers cover 79% of the study area according to the geographical standard. The study area needs 41 additional centers to cover the shortfall in service provision per the demographic and geographic standards.

CONCLUSIONS

A significant deficiency in the number of primary care centers found in the study area compared to the large population at the geographical and demographic standards level.

摘要

背景

本研究应用地理标准（覆盖距离）和人口标准来调查基层医疗设施覆盖研究区域最大面积和可及服务区域的能力。这项研究旨在确定提供医疗服务的整个社区所需的足够数量的基层医疗保健（PHC）中心。

方法

通过应用地理信息系统（GIS）技术，根据人口和地理标准分析基层医疗设施，获得了数据。

结果

根据地理标准，PHC 中心覆盖了研究区域的 79%。根据人口和地理标准，该研究区域需要额外的 41 个中心来弥补服务提供的不足。

结论

与地理和人口标准水平的大量人口相比，研究区域基层医疗中心的数量明显不足。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ca4/11784934/b6966b6f5450/f1000research-12-174054-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ca4/11784934/3a7a2f707689/f1000research-12-174054-g0000.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ca4/11784934/f6bc0e49168f/f1000research-12-174054-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ca4/11784934/b6966b6f5450/f1000research-12-174054-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ca4/11784934/3a7a2f707689/f1000research-12-174054-g0000.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ca4/11784934/b8525e061814/f1000research-12-174054-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ca4/11784934/c7b0915de8c6/f1000research-12-174054-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ca4/11784934/5fa89e495e3e/f1000research-12-174054-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ca4/11784934/f6bc0e49168f/f1000research-12-174054-g0004.jpg
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