Measuring Access to Family Planning

Conceptual Frameworks and DHS Data

Dados Bibliográficos

ID10796342
AutoresYoonjoung Choi (0000-0002-1116-0937, Senior Technical Advisor for Population and Metrics, Office of Population and Reproductive Health, Bureau for Global Health, U.S. Agency for International Development, 1300 Pennsylvania Avenue, NW, Washington DC 20004, autor correspondente), Madeleine Short Fabic (0000-0001-9553-4635, Public Health Advisor, Office of Population and Reproductive Health, Bureau for Global Health, U.S. Agency for International Development, 1300 Pennsylvania Avenue, NW, Washington DC 20004), Jacob Adetunji (0000-0002-8491-6440, Senior Demographer, Office of Population and Reproductive Health, Bureau for Global Health, U.S. Agency for International Development, 1300 Pennsylvania Avenue, NW, Washington DC 20004)
Ano2016
Volume47
Fascículo2
Páginas145-161
Data de publicação2016-06-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoStudies in Family Planning (JOURNAL)
Identificadores do periódicoISSN: 0039-3665 • E-ISSN: 1728-4465
EditoraWiley (PUBLISHER • GB)
DOI10.1111/j.1728-4465.2016.00059.x
PMID27285425
OpenAlexW2410253125
IdiomaEN
Citações recebidas13
Referências citadas38

Expanding access to family planning (FP) is a driving aim of global and national FP efforts. The definition and measurement of access, however, remain nebulous, largely due to complexity. This article aims to bring clarity to the measurement of FP access. First, we synthesize key access elements for measurement by reviewing three well‐known frameworks. We then assess the extent to which the Demographic and Health Surveys (DHS)—a widely used data source for FP programs and research—has information to measure these elements. We finally examine barriers to access by element, using the latest DHS data from four countries in sub‐Saharan Africa. We discuss opportunities and limitations in the measurement of access, the importance of careful interpretation of data from population‐based surveys, and recommendations for collecting and using data to better measure access

Business · Environmental health · Family planning · Population · Process management · Research methodology · Gender, Labor, and Family Dynamics · Global Maternal and Child Health · Healthcare Policy and Management · Medicine