Preference‐Aligned Fertility Management as a Person‐Centered Alternative to Contraceptive Use‐Focused Measures

Datos Bibliográficos

ID10795248
AutoresKelsey Holt (0000-0001-9093-4322, Department of Family and Community Medicine, School of Medicine University of California, San Francisco San Francisco CA 94110 USA, autor de correspondencia), Christine Galavotti (Department of Family Planning Bill & Melinda Gates Foundation Seattle WA 98109 USA), Elizabeth Omoluabi (0000-0003-1754-5384, Akena Plus Health Abuja Nigeria), Sneha Challa (0000-0001-5220-6834, School of Nursing University of California, San Francisco San Francisco CA 94118 USA), Peter Waiswa (0000-0001-8221-902X, School of Public Health Makerere University Kampala Uganda), Jenny X Liu (0000-0002-3929-0135, University of California, San Francisco), Jenny Liu (0000-0002-3840-1438, School of Nursing University of California, San Francisco San Francisco CA 94118 USA)
Año2023
Volumen54
Número1
Páginas301-308
Fecha de publicación2023-03-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaStudies in Family Planning (JOURNAL)
Identificadores de la revistaISSN: 0039-3665 • E-ISSN: 1728-4465
EditorialWiley (PUBLISHER • GB)
DOI10.1111/sifp.12228
PMID36723038
OpenAlexW4318754995
IdiomaEN
Citas recibidas28
Referencias citadas22

Equating contraceptive use with programmatic success is fundamentally flawed in failing to account for whether individuals desire contraceptive use; this is problematic because nonuse can reflect empowered decision‐making and use may reflect an individual's inability to refuse or discontinue a method. A rights‐based approach demands respect for individuals’ freedom to weigh options and choose how their desire for pregnancy prevention can be accommodated by available methods and within the context of their own personal, social, and material constraints. We offer an alternative construct, preference‐aligned fertility management (PFM) , that provides a more holistic indicator of whether one's contraceptive needs are met. PFM is more person‐centered and informative for programming than status quo measures of unmet need, demand satisfied, and contraceptive use which define a positive outcome in relation to pregnancy risk rather than one's stated preferences. The PFM approach goes beyond other recent proposals for modifying the concept of unmet need by refraining from judgment of legitimate reasons for nonuse of contraception and offers a straightforward way to capture whether people act in line with their preferences. We conclude with discussion of how we plan to measure PFM in the Innovations for Choice and Autonomy (ICAN) study in Nigeria and Uganda

Autonomy · Construct (python library · Context (archaeology · Economics · Family planning · Fertility · Political science · Population · Preference · Sociology · Demography · Global Maternal and Child Health · Psychology · Reproductive Health and Contraception · Reproductive Health and Technologies · Social Psychology