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空间分析中计划生育未满足需求的系统评价

Unmet Need for Family Planning in Spatial Analysis: A Systematic Review.

作者信息

Musafaah Musafaah, Darise Lasari Hadrianti Haji, Makful Martya Rahmaniati, Eryando Tris

机构信息

Public Health Study Program, Faculty of Medicine and Health Sciences, Lambung Mangkurat University, Banjarbaru, South Kalimantan 70714, Indonesia.

Department of Biostatistics and Population Studies, Faculty of Public Health, Universitas Indonesia, Indonesia.

出版信息

Iran J Public Health. 2024 Dec;53(12):2625-2631.

Abstract

BACKGROUND

The unmet need for family planning is an indicator in monitoring and evaluating family planning programs in the decentralization era. Spatial analysis is an analytical tool that can understand the existence of family planning disparities among regions. This study aimed to conduct a systematic review of the application of spatial analysis in research related to the unmet need for family planning and to review its results.

METHODS

The databases used in the literature search are PubMed, Scopus, and SpringerLink. The keywords used in the search were: "unmet need for family planning" OR "unmet need for contraception" AND (spatial OR geographic). Full-text articles from 2013 to 2022 were included.

RESULTS

Of the 334 identified articles, 3 (three) articles were reviewed. The three studies used spatial analysis at the level of spatial data exploration by using global and local Moran Index tests, Getis-Ord Gi* local statistics, and natural break spatial techniques.

CONCLUSION

The use of advanced spatial analysis such as GWR and other regression analyzes is needed to investigate factors associated with regionally specific unmet need for family planning so that policy makers can allocate resources effectively.

摘要

背景

计划生育未满足需求是分权时代监测和评估计划生育项目的一项指标。空间分析是一种能够了解各地区计划生育差异存在情况的分析工具。本研究旨在对空间分析在与计划生育未满足需求相关研究中的应用进行系统综述,并对其结果进行回顾。

方法

文献检索中使用的数据库有PubMed、Scopus和SpringerLink。检索所用关键词为:“计划生育未满足需求”或“避孕未满足需求”以及(空间或地理)。纳入了2013年至2022年的全文文章。

结果

在334篇识别出的文章中,有3篇文章被综述。这三项研究在空间数据探索层面使用了空间分析,采用了全局和局部莫兰指数检验、Getis-Ord Gi*局部统计以及自然间断点空间技术。

结论

需要使用如地理加权回归(GWR)和其他回归分析等先进的空间分析来调查与地区特定的计划生育未满足需求相关的因素,以便政策制定者能够有效分配资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33ce/11693811/ddcca837666f/IJPH-53-2625-g001.jpg

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