Cited by 6Reproductive Health and ContraceptionDemographic Trends and Gender PreferencesGlobal Maternal and Child Health

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Inequalities in total fertility rate in Sierra Leone, 2008–2019

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Abstract

BACKGROUND: Total fertility rate measures the average number of children a woman is expected to have during her reproductive age (typically 15-49 years). Despite the national decline in Sierra Leone, significant disparities in total fertility rates persist across socioeconomic and geographic lines. This study investigated the inequalities in total fertility rate among women in Sierra Leone between 2008 and 2019. METHODS: We utilized data from the three rounds of the Sierra Leone Demographic Health Survey conducted in 2008, 2013, and 2019. The World Health Organization's Health Equity Assessment Toolkit was employed to calculate various inequality measures, including simple difference, ratio, population attributable risk, and population attributable fraction. The assessment focused on inequality across four stratifiers: economic status, level of education, place of residence, and sub-national province. RESULTS: The total fertility rate declined in Sierra Leone throughout the period, dropping from 5.0 births per woman in 2008 to 4.3 births per woman in 2019. Economic disparity among women in the richest quintile compared with those in the poorest quintile increased from 3.0 births per woman in 2008 to 3.1 births per woman in 2019. The ratio between women in the richest quintile compared with those in the poorest quintile also increased from 1.9 in 2008 to 2.1 in 2019; the confidence interval suggest inequality, with women in the poorest quintile disproportionately affected. Inequality in education among women with secondary education or higher compared with those with no education decreased from 2.7 births per woman in 2008 to 1.9 births per woman in 2019. The ratio between women with secondary education or higher compared with those with no education decreased from 1.9 in 2008 to 1.6 in 2019, and the confidence interval suggest an inequality with women with no education disporportionately affected. Provincial inequality among women who resided in Western area compared with those in Eastern province decreased slightly from 2.3 births per woman in 2008 to 2.2 births per woman in 2019. The ratio between women who resided in Western province compared with those in Eastern province increased from 1.6 in 2008 to 1.7 in 2019 and indicate an inequality among women in the provinces. CONCLUSION: The results indicate substantial socioeconomic and geographical disparities in total fertility rate among women in Sierra Leone that require targeted policy interventions. The persistent and widening economic gap between women in the richest and poorest quintiles suggests that poverty reduction strategies and economic empowerment programs for low-income women need strengthening. While the decreasing educational inequality is encouraging, the continued disadvantage faced by women with no education indicates a need for enhanced educational access and adult literacy programs. The provincial disparities between Western and Eastern provinces point to a need for balanced provincial development policies and improved resource distribution, particularly in the Eastern province, where women face greater disadvantages. These implications collectively suggest that policymakers should adopt an integrated approach that combines economic empowerment, educational initiatives, and provincial development strategies to address these intersecting inequalities in TFR effectively.

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  • The disparity in financial barriers between urban and rural areas is largely due to limited socioeconomic opportunities in rural regions.

    “In Sierra Leone, this disparity is largely due to limited socioeconomic opportunities in rural regions [47].”

    From Financial barriers to healthcare access among reproductive-age women in Sierra Leone: evidence from demographic health surveys of 2008, 2013, and 2019 (2026) · cites this paper as [47]

    The Discussion reports higher fertility in rural areas and discusses socioeconomic factors as possible reasons for that fertility difference. It does not address whether limited rural socioeconomic opportunities largely explain an urban–rural disparity in financial barriers. Searches for financial barriers and rural economic opportunities found no passage making that claim. (LLM, conf=0.73)

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References 23 · Cited by 6

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  1. Pourreza A, Sadeghi A, Amini-Rarani M, Khodayari-Zarnaq R, Jafari H. Contributing factors to the total fertility rate declining trend in the Middle East and North Africa: a systemic review. J Health Popul Nutr. 2021;40:11. · DOI
  2. Bongaarts J, Casterline J. Fertility transition: is sub-saharan Africa different? Popul Dev Rev. 2013;38(Suppl 1):153–68. · DOI
  3. Agbaglo E, Agbadi P, Tetteh JK, Ameyaw EK, Adu C, Nutor JJ. Trends in total fertility rate in Ghana by different inequality dimensions from 1993 to 2014. BMC Womens Health. 2022;22:49. · DOI
  4. Tesfa D, Tiruneh SA, Gebremariam AD, Azanaw MM, Engidaw MT, Kafele B. The pooled estimate of the total fertility rate in sub-Saharan Africa using recent (2010–2018) Demographic and Health Survey data [Internet]. 2023 [cited 2024 Jul 7]. Available from: https://www.frontiersin.org/journals/public-health/articles/https://doi.org/10.3389/fpubh.2022.1053302/full · DOI
  5. Ahinkorah BO, Aboagye RG, Mohammed A, Duodu PA, Adnani QES, Seidu AA. Socioeconomic and residence-based inequalities in adolescent fertility in 39 African countries. Reprod Health. 2024;21:72. · DOI
  6. Keen S, Begum H, Friedman HS, James CD. Scaling up family planning in Sierra Leone: a prospective cost–benefit analysis. Womens Health. 2017;13(3):43–57.
  7. Figueroa CA, Linhart CL, Beckley W, Pardosi JF. Maternal mortality in Sierra Leone: from civil war to Ebola and the Sustainable Development Goals. Int J Public Health. 2018;63(4):431–2. · DOI
  8. Witter S, Brikci N, Harris T, Williams R, Keen S, Mujica A, et al. The Free Healthcare Initiative in Sierra Leone: evaluating a Health System Reform, 2010-2015. Int J Health Plann Manage. 2018;33(2):434–48. · DOI
  9. Statistics Sierra Leone (Stats SL) and ICF. Sierra Leone Demographic and Health Survey. Freetown, Sierra Leone, and Rockville. Volume 647. Maryland, USA: Stats SL and ICF; 2019.
  10. Tsawe M, Susuman AS. Inequalities in maternal healthcare use in Sierra Leone: Evidence from the 2008–2019 Demographic and Health Surveys | PLOS ONE [Internet]. 2022 [cited 2024 Jul 7]. Available from: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0276102 · DOI
  11. Bognini JD, Samadoulougou S, Ouedraogo M, Kangoye TD, Van Malderen C, Tinto H, et al. Socioeconomic inequalities in curative healthcare-seeking for children under five before and after the free healthcare initiative in Sierra Leone: analysis of population-based survey data. Int J Equity Health. 2021;20(1):124. · DOI
  12. Harris B, Goudge J, Ataguba JE, McIntyre D, Nxumalo N, Jikwana S. Inequities in access to health care in South Africa [Internet]. 2016 [cited 2024 Jul 14]. Available from: https://sci-hub.se/10.2307/20868835 · DOI
  13. Samuel O, Zewotir T, North D. Decomposing the urban–rural inequalities in the utilisation of maternal health care services: evidence from 27 selected countries in Sub-saharan Africa. Reprod Health. 2021;18:216. · DOI
  14. GBD 2021 Fertility and Forecasting Collaborators. Global fertility in 204 countries and territories, 1950–2021, with forecasts to 2100: a comprehensive demographic analysis for the Global Burden of Disease Study 2021 [Internet]. 2024 [cited 2024 Jul 7]. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11122687/
  15. UNFPA Sierra Leone. Review of the national curriculum framework and guidelines for basic education using the sexuality review and analysis tool [Internet]. [cited 2024 Jul 7]. Available from: https://sierraleone.unfpa.org/sites/default/files/pub-pdf/serat_report_final_1.pdf
  16. Finlay JE, Mejía-Guevara I, Akachi Y. Inequality in total fertility rates and the proximate determinants of fertility in 21 sub-saharan African countries. PLoS ONE. 2018;13(9):e0203344. · DOI
  17. Asamoah BO, Agardh A, Östergren PO. Inequality in fertility rate and modern contraceptive use among Ghanaian women from 1988–2008. Int J Equity Health. 2013;12:37. · DOI
  18. Caviglia M, Dell’Aringa M, Putoto G, Buson R, Pini S, Youkee D, et al. Improving Access to Healthcare in Sierra Leone: the role of the newly developed National Emergency Medical Service. Int J Environ Res Public Health. 2021;18(18):9546. · DOI
  19. Ewerling F, McDougal L, Raj A, Ferreira LZ, Blumenberg C, Parmar D, et al. Modern contraceptive use among women in need of family planning in India: an analysis of the inequalities related to the mix of methods used. Reprod Health. 2021;18(1):173. · DOI
  20. De Ponce RG, Ewerling F, Serruya SJ, Silveira MF, Sanhueza A, Moazzam A, et al. Contraceptive use in Latin America and the Caribbean with a focus on long-acting reversible contraceptives: prevalence and inequalities in 23 countries. Lancet Glob Health. 2019;7(2):e227–35. · DOI
  21. Silumbwe A, Nkole T, Munakampe MN, Cordero JP, Milford C, Zulu JM, et al. Facilitating community participation in family planning and contraceptive services provision and uptake: community and health provider perspectives. Reprod Health. 2020;17(1):119. · DOI
  22. Bhopal SS, Halpin SJ, Gerein N. Emergency Obstetric Referral in Rural Sierra Leone: what can Motorbike ambulances Contribute? A mixed-methods study. Matern Child Health J. 2013;17(6):1038–43. · DOI
  23. Osborne A, Bangura C, Ahinkorah BO. Trends and inequalities in modern contraceptive use among women in Sierra Leone, 2008–2019. Reprod Health. 2024;21(1):167. · DOI · Paper page

Metadata

Authors
Osborne, A., Sesay, U., Bah, M. S., Bangura, C., & Ahinkorah, B. O.
Affiliations
  • Njala University (SL)
  • The University of Adelaide (AU)
Corresponding author
Osborne, Augustus
Venue
BMC Public Health
Published
2025-02-02
Volume
25
Issue
1
Pages
423-423
ISSN
1471-2458 (ISSN-L)
OpenAlex
W4407079728
Cited by
6
References
23
Citations by year
2026: 5 · 2025: 1
FWCI
5.46
Type
journal article
Language
en
Open access
Locations
  • BMC Public Health (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
World Health Organization
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Reproductive Health and Contraception
  • Social Sciences › Gender Studies › Demographic Trends and Gender Preferences
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Global Maternal and Child Health
Keywords
total fertility rate, socioeconomic disparities, educational inequality, geographic disparities, population attributable fraction, population attributable risk, health equity, Sierra Leone, fertility decline, women's economic status, place of residence
MeSH terms
Adolescent, Adult, Birth Rate, Female, Health Surveys, Humans, Middle Aged, Sierra Leone, Socioeconomic Factors, Young Adult

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