BOWEN logo

Please use this identifier to cite or link to this item: ir.bowen.edu.ng:8181/jspui/handle/123456789/1413
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSolanke, B. L.-
dc.contributor.authorAdetutu, O. M.-
dc.contributor.authorRahman, S. A.-
dc.contributor.authorSoladoye, D. A.-
dc.contributor.authorOwoeye, M. O.-
dc.date.accessioned2023-05-18T21:03:41Z-
dc.date.available2023-05-18T21:03:41Z-
dc.date.issued2022-
dc.identifier.citationSolanke, B.L., Adetutu, O.M., Rahman, S.A., Soladoye, D. A. & Owoeye, M. O. (2022). Prevalence and determinants of unmet need for contraception among women in low and high-priority segments for family planning demand generation in Nigeria. Arch Public Health, 80, 239en_US
dc.identifier.urihttps://doi.org/10.1186/s13690-022-00997-x-
dc.identifier.uriir.bowen.edu.ng:8080/jspui/handle/123456789/1413-
dc.description.abstractBackground: Studies have identified various determinants of unmet need for contraception. These determinants cut across individual, household, community, and health facility levels. Despite this evidence, there remains a lack of information regarding differentials in the prevalence and determinants of unmet need for contraception among women in the low-priority segments (such as women of advanced reproductive age and women living with disabilities) and high-priority segments (such as adolescents, young adults, and unmarried women) for family planning demand generation, hence this study. Methods: The study design is cross-sectional. The study analyzed merged data from the individual, and persons recode of the 2018 Nigeria Demographic and Health Survey (NDHS). The samples analyzed are 5,147 women in the high-priority segment and 7,536 women in the low-priority segment. The outcome variable in the study was unmet need for contraception. The explanatory variables were selected at the individual, household, community, and facility levels. Statistical analyzes were performed using Stata 14. Three multilevel mixed-effects regression models were fitted. Model 1 was the empty model, while Model 2 included the sets of individual, household, and community variables. Model 3 controlled for the facility-level variables. Results: Findings show a higher prevalence of unmet need for contraception among women in the family planning low-priority segment compared to women in the family planning high-priority segment. Religion and desired family size were the two individual characteristics that significantly predicted the unmet need for contraception among women in the two segments. Sexual autonomy was the only household characteristic that predicted unmet need for contraception in both segments. There were differences in the community characteristics that predicted unmet need for contraception among women in the two segments. Conclusion: The prevalence of unmet need for contraception is not the same among women in low and high family planning priority segments. The determinants also differ among women in the two segments. Though, women in different family planning segments have the same contraceptive needs of avoiding pregnancy when not needed, however, getting the needs satisfied requires that existing programs be further examined to develop initiatives that will resonate with each segment of reproductive-age women.en_US
dc.language.isoenen_US
dc.subjectUnmet need for contraceptionen_US
dc.subjectFamily planning demand generationen_US
dc.subjectReproductive healthen_US
dc.subjectWomenen_US
dc.subjectNigeriaen_US
dc.titlePrevalence and determinants of unmet need for contraception among women in low and high-priority segments for family planning demand generation in Nigeria.en_US
dc.typeArticleen_US
Appears in Collections:Articles



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.