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

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

doi:10.18502/ijph.v53i12.17303

Musafaah Musafaah Public Health Study Program, Faculty of Medicine and Health Sciences, Lambung Mangkurat University, Banjarbaru, South Kali-mantan 70714, Indonesia
Hadrianti Haji Darise Lasari Public Health Study Program, Faculty of Medicine and Health Sciences, Lambung Mangkurat University, Banjarbaru, South Kali-mantan 70714, Indonesia
Martya Rahmaniati Makful Department of Biostatistics and Population Studies, Faculty of Public Health, Universitas Indonesia, Indonesia
Tris Eryando Department of Biostatistics and Population Studies, Faculty of Public Health, Universitas Indonesia, Indonesia

DOI: https://doi.org/10.18502/ijph.v53i12.17303

Keywords: Unmet need; Family planning; Spatial analysis; Systematic review; Regional

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