Demographic and Fertility Characteristics of Contraceptive Clusters in Burundi

Dados Bibliográficos

ID10797300
AutoresKerry L D MacQuarrie (0000-0002-2855-9370, The DHS Program, Avenir Health Rockville MD 20850 USA, autor correspondente), Courtney Allen (0000-0002-5750-5988, The DHS Program ICF Rockville MD 20850 USA), Alison Gemmill (0000-0001-5879-9730, Department of Population Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health Baltimore MD 21205 USA)
Ano2021
Volume52
Fascículo4
Páginas415-438
Data de publicação2021-12-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoStudies in Family Planning (JOURNAL)
Identificadores do periódicoISSN: 0039-3665 • E-ISSN: 1728-4465
EditoraWiley (PUBLISHER • GB)
DOI10.1111/sifp.12179
PMID34626481
OpenAlexW3207627176
IdiomaEN
Citações recebidas2
Referências citadas19

Examining women's reproductive experiences over time reveals a more dynamic view of women's behaviors and needs than current status measures alone. This study uses sequence and cluster analyses, which are designed for identifying patterns and subgroups in longitudinal data. We apply these methods to contraceptive calendar data in Burundi to identify discrete clusters of women based on contraceptive and pregnancy behaviors over the past 5 years. We identify six unique clusters; three characterized by no use of contraception (85 percent of women) and three by use (16 percent). The Quiet Calendar cluster (42 percent) comprise women who neither experience pregnancy nor use contraception. Family Builder 1 (25 percent) and 2 (18 percent) both include women who experience two pregnancies, but differ in unmet need and lifetime experience with contraception. Modern Mother (8 percent), Consistently Covered Mother (6 percent), and Traditional Mother (2 percent) clusters differ by type of contraception used following pregnancy. Factors associated with cluster membership are need for family planning, lifetime experience with contraception, marital status, pregnancy intention, and age. This clustering approach provides a new, more holistic way to measure the diverse needs across unique subpopulations and can inform the development of multifaceted, adaptable strategies to meet women's dynamic fertility needs over the reproductive life course

Cluster (spacecraft · Developed country · Environmental health · Family planning · Fertility · Marital status · Population · Pregnancy · Research methodology · Sociology · Adolescent Sexual and Reproductive Health · Computer Science · Demography · Global Maternal and Child Health · Medicine · Reproductive Health and Contraception