Literature DB >> 21195014

Intergenerational differences in antenatal care and supervised deliveries in Nigeria.

Henry V Doctor1.   

Abstract

OBJECTIVE: To assess whether age cohort influences the likelihood of receiving antenatal care (ANC) and having a supervised delivery, before and after adjusting for other factors.
DESIGN: Using data from the 2008 Nigeria Demographic and Health Survey, we grouped women into three distinct cohorts based on their year of birth: the young (1984-1993), the middle (1974-1983) and the older (1959-1973) cohorts. We applied multilevel logistic regression methods to assess the influence of age cohort on receiving ANC and having a supervised delivery among women (n=18,028) whose most recent birth occurred anytime in the five years preceding the survey.
RESULTS: We identified belonging to the youngest age cohort, rural residence, lack of schooling, higher parity, residence in northern region and poor economic status as determinants of low uptake of ANC and supervised deliveries.
CONCLUSION: Urgent efforts are needed in Nigeria to ensure that young women in particular receive ANC and have supervised deliveries. An agenda promoting a combination of individuals campaigning for change (particularly in northern Nigeria), communities raising awareness among men and women, and governmental and nongovernmental organizations working together to find practical solutions is an indispensable aim for saving the lives of many women and children who are at risk of dying of maternal and child-related diseases.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 21195014     DOI: 10.1016/j.healthplace.2010.12.003

Source DB:  PubMed          Journal:  Health Place        ISSN: 1353-8292            Impact factor:   4.078


  11 in total

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2.  Factors influencing the use of antenatal care in rural West Sumatra, Indonesia.

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Journal:  BMC Pregnancy Childbirth       Date:  2012-02-21       Impact factor: 3.007

3.  Predictors of skilled attendance at delivery among antenatal clinic attendants in Ghana: a cross-sectional study of population data.

Authors:  Mary Amoakoh-Coleman; Evelyn K Ansah; Irene Akua Agyepong; Diederick E Grobbee; Gbenga A Kayode; Kerstin Klipstein-Grobusch
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4.  Regional differences in usage of antenatal care and safe delivery services in Indonesia: findings from a nationally representative survey.

Authors:  Vrijesh Tripathi; Rajvir Singh
Journal:  BMJ Open       Date:  2017-02-03       Impact factor: 2.692

Review 5.  Progresses and challenges of utilizing traditional birth attendants in maternal and child health in Nigeria.

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6.  Determinants of antenatal care utilisation in sub-Saharan Africa: a systematic review.

Authors:  Ijeoma Nkem Okedo-Alex; Ifeyinwa Chizoba Akamike; Obumneme Benaiah Ezeanosike; Chigozie Jesse Uneke
Journal:  BMJ Open       Date:  2019-10-07       Impact factor: 2.692

7.  Determinants of Maternal Health Care Utilization in Nigeria: a multilevel approach.

Authors:  Dorothy Ngozi Ononokpono; Clifford Obby Odimegwu
Journal:  Pan Afr Med J       Date:  2014-01-18

8.  Exploring status and determinants of prenatal and postnatal visits in western China: in the background of the new health system reform.

Authors:  Xiaojing Fan; Zhongliang Zhou; Shaonong Dang; Yongjian Xu; Jianmin Gao; Zhiying Zhou; Min Su; Dan Wang; Gang Chen
Journal:  BMC Public Health       Date:  2017-07-20       Impact factor: 3.295

9.  Socioeconomic inequalities and determinants of maternal health services in Shaanxi Province, Western China.

Authors:  Ruo Zhang; Shanshan Li; Chao Li; Doudou Zhao; Leqian Guo; Pengfei Qu; Danmeng Liu; Shaonong Dang; Hong Yan
Journal:  PLoS One       Date:  2018-09-05       Impact factor: 3.240

10.  "If you are on duty, you may be afraid to come out to attend to a person": fear of crime and security challenges in maternal acute care in Nigeria from a realist perspective.

Authors:  Enyi Etiaba; Ana Manzano; Uju Agbawodikeizu; Udochukwu Ogu; Bassey Ebenso; Benjamin Uzochukwu; Obinna Onwujekwe; Nkoli Ezumah; Tolib Mirzoev
Journal:  BMC Health Serv Res       Date:  2020-09-29       Impact factor: 2.655

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