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IS ANTENATAL CLINIC ATTENDANCE A PROXIMATE DETERMINANT OF USE OF MODERN HEALTHCARE FACILITY FOR DELIVERY BY NIGERIAN WOMEN?

Year 2017, Volume: 3 Issue: 8, 391 - 400, 31.08.2017
https://doi.org/10.18769/ijasos.336588

Abstract

A
proximate determinant of an outcome (or event) is a variable (or factor) that
produces a direct effect on that outcome. It can act as an intermediary
variable through which other variables (or factors) which have indirect effects
on the same outcome variable operate to exhibit their effects. Socioeconomic,
demographic and cultural factors (also called background or underlying factors)
are known to have indirect effects on whether or not a pregnant woman would
choose to deliver her baby in a healthcare facility. The background or
underlying factors of the women can also determine if they will attend or not
attend antenatal clinic during pregnancy. However, antenatal clinic attendance
also has direct effect on a woman’s use of healthcare facility to deliver her
baby.



In this
study we examined whether or not antenatal clinic attendance is a major
proximate determinant of use of healthcare facility for delivery by Nigerian
women. However, the study shows that antenatal care visits had a very strong
direct effect on mothers’ delivery in healthcare facilities. The study used
quantitative data from the 2008 Nigeria Demographic and Health Surveys
(NDHS).Mothers were asked to indicate where they delivered their last babies
(i.e., in Healthcare Facility or outside the healthcare facility)and also the
number of antenatal visits they attended during the pregnancy. A mother that
had four or more visits during the pregnancy was considered to have had
adequate number of visits and those who did not attend at all or attended for
less than four times were considered not to have had adequate attendance.
Information was also collected on the socio-economic and demographic characteristics
of the women.



The data
analyzed consisted of 17,635 women aged 15-49 years who had a live birth within the five years preceding
the survey Stata 12 computer software was used to carry
outdataanalyses.Data analyses wereatunivariate, bivariate andmultivariate
levels. Due to the dichotomous nature of the outcome variable (i.e., whether a
child was delivered in a healthcare facility or not; coded as (1, 0)),  the multivariate analyses technique used is
Binary Logistic Regression, and Likelihood Ratio (LR) statistical test of
significance was applied.



Results
from bivariate analysis indicated that the background (underlying) factors of
the women (i.e., age, children ever born, region of residence, educational
level, wealth index status, and religion) 
all have significant association with the number of antenatal visits
made by mothers during their last pregnancy (P < 0.001). Similarly,
antenatal clinic attendance has significant relationship with delivery in
healthcare facility (P < 0.001).



The binary
logistic regression which includes all the six background variables and
antennal clinic attendance (i.e., the proximate determinant) indicated a highly
significant contribution to the model chi-square statistic.
Women who had adequate number of antenatal clinic visits were about four
times more likely to deliver their babies in healthcare facility than mothers
who did not (OR = 4.4, P < 0.001). The likelihood Ratio (LR) test to determine
the extent to which antenatal clinic attendance helped to explain the effect of
the background variables on delivery in healthcare facilities also gave a
highly significant result (chi-square = 891 on 1 degree of freedom, P <
0.001). This means that antenatal clinic attendance is an important proximate
determinant through which socioeconomic, demographic and cultural factors
influence Nigerian women delivery in healthcare facilities. 



We
conclude therefore that policies and programs targeted at encouraging Nigerian
pregnant women to attend adequately antenatal clinics will also increase the
prevalence of their delivery in healthcare facilities, thereby reducing the
risk of maternal and infant mortality.

References

  • Adamu Hauwa Suleiman (2011). Utilization of Maternal Health Care Services in Nigeria: An Analysis of Regional Differences in the Patterns and Determinants of Maternal Health Care Use. Erasmus C.(1961).Man takes control: cultural development and American aid. Minneapolis, Minn, USA: University of Minnesota Press. Fosu, G. B. (1994). Childhood morbidity and health services utilization: cross-national comparisons of user-related factors from DHS data. Social Science and Medicine, 38, 1209–1220. Mosley WH, Chen LC. (1984) An analytic framework for the study of child survival in developing countries. Population and Development Review; 1984, 10:25-45. Orubuloye, I. O. (2003).Disease, Illness and Society. Centre for Population and Health Resources, Ado-Ekiti, Nigeria, pp. 1-26. Paul, B.K., & D.J. Rumsey. 2002. Utilization of health facilities and trained birth attendants for childbirth in rural Bangladesh: An empirical study. Social Science and Medicine 54:1755–1765. Tipping, G., Segall, M. (1995). Healthcare Seeking Behavior in Developing Countries: An Annotated Bibliography and Literature Review. United Nations (1994). Report of the International Conference on Population and Development, Cairo, 5-13, September 1994. UNFPA (2007).Men at work.World Population Day document.Retrieved September 10, from http://www.unfpa.org. World Health Organization (2008), Factsheet, Maternal Mortality, Department of Making Pregnancy Safer. World Bank Group (2014). Maternal Mortality Ratio, Modelled Estimate per 100,000 live births. World Bank Group 2014 http://data.worldbank.org/indicator/SH.STA.MMRT World Health Organization (2012). Trends in maternal mortality: 1990 to 2010 (WHO, UNICEF, UNFPA and The World Bank estimates).World HealthOrganization, Geneva, Switzerland. 2012. ISBN: 978 92 4 150363 1. WHO.Annual Report 2007, Department of Making Pregnancy Safer. WHO, 2008, Geneva/Switzerland WHO, UNICEF, UNFPA and the World Bank, Trends in Maternal Mortality: 1990 to 2010, WHO, Geneva, 2012. World Bank (2013). World Development Indicators. International Bank for Reconstruction and Development. The World Bank, Washington.
Year 2017, Volume: 3 Issue: 8, 391 - 400, 31.08.2017
https://doi.org/10.18769/ijasos.336588

Abstract

References

  • Adamu Hauwa Suleiman (2011). Utilization of Maternal Health Care Services in Nigeria: An Analysis of Regional Differences in the Patterns and Determinants of Maternal Health Care Use. Erasmus C.(1961).Man takes control: cultural development and American aid. Minneapolis, Minn, USA: University of Minnesota Press. Fosu, G. B. (1994). Childhood morbidity and health services utilization: cross-national comparisons of user-related factors from DHS data. Social Science and Medicine, 38, 1209–1220. Mosley WH, Chen LC. (1984) An analytic framework for the study of child survival in developing countries. Population and Development Review; 1984, 10:25-45. Orubuloye, I. O. (2003).Disease, Illness and Society. Centre for Population and Health Resources, Ado-Ekiti, Nigeria, pp. 1-26. Paul, B.K., & D.J. Rumsey. 2002. Utilization of health facilities and trained birth attendants for childbirth in rural Bangladesh: An empirical study. Social Science and Medicine 54:1755–1765. Tipping, G., Segall, M. (1995). Healthcare Seeking Behavior in Developing Countries: An Annotated Bibliography and Literature Review. United Nations (1994). Report of the International Conference on Population and Development, Cairo, 5-13, September 1994. UNFPA (2007).Men at work.World Population Day document.Retrieved September 10, from http://www.unfpa.org. World Health Organization (2008), Factsheet, Maternal Mortality, Department of Making Pregnancy Safer. World Bank Group (2014). Maternal Mortality Ratio, Modelled Estimate per 100,000 live births. World Bank Group 2014 http://data.worldbank.org/indicator/SH.STA.MMRT World Health Organization (2012). Trends in maternal mortality: 1990 to 2010 (WHO, UNICEF, UNFPA and The World Bank estimates).World HealthOrganization, Geneva, Switzerland. 2012. ISBN: 978 92 4 150363 1. WHO.Annual Report 2007, Department of Making Pregnancy Safer. WHO, 2008, Geneva/Switzerland WHO, UNICEF, UNFPA and the World Bank, Trends in Maternal Mortality: 1990 to 2010, WHO, Geneva, 2012. World Bank (2013). World Development Indicators. International Bank for Reconstruction and Development. The World Bank, Washington.
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Details

Journal Section Articles
Authors

Fasina F. Fagbeminiyi

Gbolahan A. Oni

Publication Date August 31, 2017
Submission Date August 30, 2017
Published in Issue Year 2017Volume: 3 Issue: 8

Cite

EndNote Fagbeminiyi FF, Oni GA (August 1, 2017) IS ANTENATAL CLINIC ATTENDANCE A PROXIMATE DETERMINANT OF USE OF MODERN HEALTHCARE FACILITY FOR DELIVERY BY NIGERIAN WOMEN?. IJASOS- International E-journal of Advances in Social Sciences 3 8 391–400.

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