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      Prevalence and factors associated with underutilization of antenatal care services in Nigeria: A comparative study of rural and urban residences based on the 2013 Nigeria demographic and health survey

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          Abstract

          Introduction

          Antenatal care (ANC) is a major public health intervention aimed at ensuring safe pregnancy outcomes. In Nigeria, the recommended minimum of four times ANC attendance is underutilized. This study investigates the prevalence and factors associated with underutilization of ANC services with a focus on the differences between rural and urban residences in Nigeria.

          Methods

          We analyzed the 2013 Nigeria Demographic and Health Survey dataset with adjustment for the sampling weight and the cluster design of the survey. The prevalence of underutilization of ANC was assessed using frequency tabulation while associated factors were examined using Chi-Square test and multivariable logistic regression analysis.

          Results

          The prevalence of underutilization of ANC was 46.5% in Nigeria, 61.1% in rural residence and 22.4% in urban residence. The North-West region had the highest prevalence of ANC underuse in Nigeria at 69.3%, 76.6% and 44.8% for the overall, rural and urban residences respectively. Factors associated with greater odds of ANC underuse in rural residence were maternal non-working status, birth interval < 24 months, single birth type, not listening to radio at all, lack of companionship to health facility and not getting money for health services. In urban residence, mothers professing Islam, those who did not read newspaper at all, and those who lacked health insurance, had greater odds of ANC underuse. In both rural and urban residence, maternal and husband’s education level, region of residence, wealth index, maternal age, frequency of watching television, distance to- and permission to visit health facility were significantly associated with ANC underuse.

          Conclusions

          Rural-urban differences exist in the use of ANC services, and to varying degrees, factors associated with underuse of ANC in Nigeria. Interventions aimed at addressing factors identified in this study may help to improve the utilization of ANC services both in rural and urban Nigeria. Such interventions need to focus more on reducing socioeconomic, geographic and regional disparities in access to ANC in Nigeria.

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          Most cited references28

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          The role of conceptual frameworks in epidemiological analysis: a hierarchical approach.

          This paper discusses appropriate strategies for multivariate data analysis in epidemiological studies. In studies where determinants of disease are sought, it is suggested that the complex hierarchical inter-relationships between these determinants are best managed through the use of conceptual frameworks. Failure to take these aspects into consideration is common in the epidemiological literature and leads to underestimation of the effects of distal determinants. An example of this analytical approach, which is not based purely on statistical associations, is given for assessing determinants of mortality due to diarrhoea in children. Conceptual frameworks provide guidance for the use of multivariate techniques and aid the interpretation of their results in the light of social and biological knowledge.
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            Determinants of antenatal care, institutional delivery and postnatal care services utilization in Nigeria

            Introduction Utilization of antenatal care, institutional delivery and postnatal care services in Nigeria are poor even by african average. Methods We analysed the 2013 Nigeria DHS to determine factors associated with utilization of these health MCH indicators by employing both bivariate and multivariate logistic regressions. Results Overall, 54% of women had at least four ANC visits, 37% delivered in health facility and 29% of new born had postnatal care within two of births. Factors that consistently predict the utilization of the three MCH services are maternal and husband's level education, place of residence, wealth level and parity. Antenatal care strongly predicts both health facility delivery (OR = 2.16, 95%CI: 1.99-2.34) and postnatal care utilization (OR = 4.67, 95%CI: 3.95-5.54); while health facility delivery equally predicting postnatal care (OR = 2.84, 95%CI: 2.20-2.80). Conclusion Improving utilization of these three MCH indicators will require targeting women in the rural areas and those with low level of education as well as creating demand for health facility delivery. Improving ANC use by making it available and accessible will have a multiplier effect of improving facility delivery which will lead to improved postnatal care utilization.
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              Factors associated with underutilization of antenatal care services in Indonesia: results of Indonesia Demographic and Health Survey 2002/2003 and 2007

              Background Antenatal care aims to prevent maternal and perinatal mortality and morbidity. In Indonesia, at least four antenatal visits are recommended during pregnancy. However, this service has been underutilized. This study aimed to examine factors associated with underutilization of antenatal care services in Indonesia. Methods We used data from Indonesia Demographic and Health Survey (IDHS) 2002/2003 and 2007. Information of 26,591 singleton live-born infants of the mothers' most recent birth within five years preceding each survey was examined. Twenty-three potential risk factors were identified and categorized into four main groups, external environment, predisposing, enabling, and need factors. Logistic regression models were used to examine the association between all potential risk factors and underutilization of antenatal services. The Population Attributable Risk (PAR) was calculated for selected significant factors associated with the outcome. Results Factors strongly associated with underutilization of antenatal care services were infants from rural areas and from outer Java-Bali region, infants from low household wealth index and with low maternal education level, and high birth rank infants with short birth interval of less than two years. Other associated factors identified included mothers reporting distance to health facilities as a major problem, mothers less exposed to mass media, and mothers reporting no obstetric complications during pregnancy. The PAR showed that 55% of the total risks for underutilization of antenatal care services were attributable to the combined low household wealth index and low maternal education level. Conclusions Strategies to increase the accessibility and availability of health care services are important particularly for communities in rural areas. Financial support that enables mothers from poor households to use health services will be beneficial. Health promotion programs targeting mothers with low education are vital to increase their awareness about the importance of antenatal services.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: ValidationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: Writing – original draftRole: Writing – review & editing
                Role: Writing – original draftRole: Writing – review & editing
                Role: SoftwareRole: Writing – original draftRole: Writing – review & editing
                Role: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                21 May 2018
                2018
                : 13
                : 5
                : e0197324
                Affiliations
                [1 ] Statistical and Genomic Epidemiology Laboratory, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
                [2 ] School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, United Kingdom
                [3 ] Nepal Development Society, Butwal, Nepal
                [4 ] Drug Research and Production Unit, Faculty of Pharmacy, Obafemi Awolowo University, Ile-Ife, Osun State, Nigeria
                [5 ] School of Nursing, Faculty of Health, Queensland University of Technology, Brisbane, Australia
                [6 ] Health and Social Relief Initiative, Ilorin, Kwara State, Nigeria
                [7 ] Department of Obstetrics and Gynaecology, Chivar Specialist Hospital and Urology Centre LTD, Abuja, Nigeria
                [8 ] Department of Epidemiology and Biostatistics, School of Public Health, Curtin University, Bentley Campus, Perth, Australia
                Seoul National University College of Medicine, REPUBLIC OF KOREA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-4533-0340
                Article
                PONE-D-17-37926
                10.1371/journal.pone.0197324
                5962076
                29782511
                68cbb667-12a2-487d-889d-4a380cd7acd7
                © 2018 Adewuyi et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 24 October 2017
                : 29 April 2018
                Page count
                Figures: 3, Tables: 2, Pages: 21
                Funding
                The Queensland University of Technology supported this paper financially by providing article publication charge sponsorship. The fund for publication has no role in study design, data collection, and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Women's Health
                Maternal Health
                Antenatal Care
                People and Places
                Geographical Locations
                Africa
                Nigeria
                Social Sciences
                Sociology
                Education
                Educational Attainment
                Social Sciences
                Economics
                Health Economics
                Health Insurance
                Medicine and Health Sciences
                Health Care
                Health Economics
                Health Insurance
                Medicine and Health Sciences
                Health Care
                Health Care Facilities
                Social Sciences
                Anthropology
                Cultural Anthropology
                Religion
                Social Sciences
                Sociology
                Religion
                Medicine and Health Sciences
                Women's Health
                Maternal Health
                Pregnancy
                Medicine and Health Sciences
                Women's Health
                Obstetrics and Gynecology
                Pregnancy
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Death Rates
                Custom metadata
                The data analyzed in this study belong to the Demographic and Health Survey (DHS) program. The data are available and freely accessible in the public repositories of DHS program at https://www.dhsprogram.com/data/available-datasets.cfm. Access to- and permission to use the data are granted to everyone upon request. Authors did not have any special privileges that others would not have in gaining access to the data.

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