Literature DB >> 26169538

Impact of family planning programs in reducing high-risk births due to younger and older maternal age, short birth intervals, and high parity.

Win Brown1, Saifuddin Ahmed2, Neil Roche3, Emily Sonneveldt4, Gary L Darmstadt5.   

Abstract

Several studies show that maternal and neonatal/infant mortality risks increase with younger and older maternal age (<18 and >34 years), high parity (birth order >3), and short birth intervals (<24 months). Family planning programs are widely viewed as having contributed to substantial maternal and neonatal mortality decline through contraceptive use--both by reducing unwanted births and by reducing the burden of these high-risk births. However, beyond averting births, the empirical evidence for the role of family planning in reducing high-risk births at population level is limited. We examined data from 205 Demographic and Health Surveys (DHS), conducted between 1985 and 2013, to describe the trends in high-risk births and their association with the pace of progress in modern contraceptive prevalence rate (yearly increase in rate of MCPR) in 57 developing countries. Using Blinder-Oaxaca decomposition technique, we then examine the contributions of family planning program, economic development (GDP per capita), and educational improvement (secondary school completion rate) on the progress of MCPR in order to link the net contribution of family planning program to the reduction of high-risk births mediated through contraceptive use. Countries that had the fastest progress in improving MCPR experienced the greatest declines in high-risk births due to short birth intervals (<24 months), high parity births (birth order >3), and older maternal age (>35 years). Births among younger women <18 years, however, did not decline significantly during this period. The decomposition analysis suggests that 63% of the increase in MCPR was due to family planning program efforts, 21% due to economic development, and 17% due to social advancement through women's education. Improvement in MCPR, predominately due to family planning programs, is a major driver of the decline in the burden of high-risk births due to high parity, shorter birth intervals, and older maternal age in developing countries. The lack of progress in the decline of births in younger women <18 years of age underscores the need for more attention to ensure that quality contraceptive methods are available to adolescent women in order to delay first births. This study substantiates the significance of family planning programming as a major health intervention for preventing high-risk births and associated maternal and child mortality, but it highlights the need for concerted efforts to strengthen service provision for adolescents.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26169538     DOI: 10.1053/j.semperi.2015.06.006

Source DB:  PubMed          Journal:  Semin Perinatol        ISSN: 0146-0005            Impact factor:   3.300


  19 in total

1.  Geographical variation in determinants of high-risk fertility behavior among reproductive age women in Ethiopia using the 2016 demographic and health survey: a geographically weighted regression analysis.

Authors:  Zemenu Tadesse Tessema; Melkalem Mamuye Azanaw; Yeaynmarnesh Asmare Bukayaw; Kassahun Alemu Gelaye
Journal:  Arch Public Health       Date:  2020-08-18

2.  The effects of text reminders on the use of family planning services: evidence from a randomised controlled trial in urban Mozambique.

Authors:  Jessica Leight; Catherine Hensly; Marcos Chissano; Elana Safran; Liza Ali; Domingos Dustan; Julian Jamison
Journal:  BMJ Glob Health       Date:  2022-04

3.  Evaluation of Maternal Health Service Indicators in Urban Slum of Bangladesh.

Authors:  Saira Parveen Jolly; Mahfuzar Rahman; Kaosar Afsana; Fakir Md Yunus; Ahmed M R Chowdhury
Journal:  PLoS One       Date:  2016-10-12       Impact factor: 3.240

4.  Investing in Family Planning: Key to Achieving the Sustainable Development Goals.

Authors:  Ellen Starbird; Maureen Norton; Rachel Marcus
Journal:  Glob Health Sci Pract       Date:  2016-06-27

5.  Delaying first birth: an analysis of household survey data from rural Southern Tanzania.

Authors:  Yovitha Sedekia; Rose Nathan; Kathryn Church; Silas Temu; Claudia Hanson; Joanna Schellenberg; Tanya Marchant
Journal:  BMC Public Health       Date:  2017-01-31       Impact factor: 3.295

6.  Effect of integrating maternal health services and family planning services on postpartum family planning behavior in Ethiopia: results from a longitudinal survey.

Authors:  Linnea A Zimmerman; Yuanyuan Yi; Mahari Yihdego; Solomon Abrha; Solomon Shiferaw; Assefa Seme; Saifuddin Ahmed
Journal:  BMC Public Health       Date:  2019-11-04       Impact factor: 3.295

7.  Determinants of maternal high-risk fertility behaviors and its correlation with child stunting and anemia in the East Africa region: A pooled analysis of nine East African countries.

Authors:  Koku Sisay Tamirat; Getayeneh Antehunegn Tesema; Zemenu Tadesse Tessema
Journal:  PLoS One       Date:  2021-06-30       Impact factor: 3.240

8.  Using contraceptives to delay first birth: a qualitative study of individual, community and health provider perceptions in southern Tanzania.

Authors:  Yovitha Sedekia; Caroline Jones; Rose Nathan; Joanna Schellenberg; Tanya Marchant
Journal:  BMC Public Health       Date:  2017-10-03       Impact factor: 3.295

9.  Varying family planning strategies across age categories: differences in factors associated with current modern contraceptive use among youth and adult women in Luanda, Angola.

Authors:  Ndola Prata; Suzanne Bell; Karen Weidert; Benjamin Nieto-Andrade; Adelaide Carvalho; Isilda Neves
Journal:  Open Access J Contracept       Date:  2016-01-28

10.  Use of contraceptives, high risk births and under-five mortality in Sub Saharan Africa: evidence from Kenyan (2014) and Zimbabwean (2011) demographic health surveys.

Authors:  Admire Chikandiwa; Emma Burgess; Kennedy Otwombe; Lucy Chimoyi
Journal:  BMC Womens Health       Date:  2018-10-24       Impact factor: 2.809

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