Determinants of place birth: a multinomial logistic regression and spatial analysis of the Ethiopian mini demographic and health survey data, 2019

Gudayu, Temesgen Worku

doi:10.1186/s12884-022-04880-z

Cited by 3 publications

(4 citation statements)

References 23 publications

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“…Likewise, the odds of IDD among women from LMICs were 7.05 and 5.57, respectively, compared to women from upper-middle income countries. Such strong association between wealth/income and IDD was consistent with previous studies from different LMICs [ 13 , 14 , 16 , 21 , 22 , 25 , 41 , 44 , 51 ]. The observed wealth–health correlation in terms of the choice of place of delivery among the rich and the poor could possibly be attributed to financial need to access and use healthcare resources in general.…”

Section: Discussionsupporting

confidence: 92%

“…In this study, the odds of IDD were higher among women who had no media exposure compared to their counterparts. This finding was parallel to different studies conducted elsewhere in the world [ 16 , 51 , 53 , 54 ]. Indeed, exposure to media is one of the proximal determinants for healthcare information access including the information relevant to the choice of place of delivery.…”

Section: Discussionsupporting

confidence: 88%

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Women in low- and middle-income countries receive antenatal care at health institutions, yet not delivered there: a multilevel analysis of 2016–2021 DHS data

Merid,

Chilot,

Yigzaw

et al. 2024

Trop Med Health

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Background The institutional delivery dropout (IDD) is a major problem that disproportionately affects low- and middle-income countries (LMICs). It is associated with increased risks of adverse birth outcomes among pregnant women. Hence, this study assessed the pooled estimate and determinants of IDD after antenatal care (ANC) visit among women in LMICs. Method The Demographic and Health Survey (DHS) data from 29 LMICs were used for this study. Data analysis was performed with STATA version 14. The forest plot was used to estimate the pooled prevalence of IDD. Multilevel binary logistic regression was fitted to identify determinants of IDD. The statistical significance level between the outcome and independent variables was determined through the adjusted odds ratio (AOR) with 95% CI and p-value less than 0.05. Result The pooled prevalence of IDD after ANC booking among reproductive age women in LMICs was 22.25% (95%CI: 18.25, 26.25). Additionally, the prevalence of IDD was highest (29.83%) among women from the South and Central Europe and the Caribbean countries and lowest (13.72%) in Central/Western Asia and the Oceania. In the multilevel analysis; no education (AOR = 2.92; 95% CI: 2.72, 3.13), poorest wealth index (AOR = 3.46; 95% CI: 3.28, 3.66), inadequate ANC visits (AOR = 1.73; 95% CI: 1.39, 1.77), no media exposure (AOR = 1.27; 95% CI: 1.23, 1.30), rural (AOR = 1.50; 95% CI: 1.43, 1.54), distance a big problem (AOR = 1.28; 95% CI: 1.25, 1.31), and women located in the South/Eastern Europe and Caribbean region 6.67 (AOR = 6.67; 95% CI: 6.20, 7.20), women lived in low-income countries 7.05 (AOR = 7.05; 95% CI: 6.57, 7.56), and women from lower middle-income countries 5.34 (AOR = 5.57; 95% CI: 4.93, 5.78), had increased odds of IDD after ANC among women in LMICs. However, women who had ever born one child (AOR = 0.29; 95% CI: 0.28, 0.31), and women from Central and Western Asia and the Oceania (AOR = 0.78; 95%CI: 0.74, 0.82) had decreased odds of IDD. Conclusion The IDD was high among women in LMICs and significantly increased among women with no education, from poorest household, had inadequate ANC visit, no media exposure, rural, distance a big problem. Hence, interventions to reduce IDD should focus on addressing the gaps related to maternal education, access to media, and number of ANC visits among women in LMICs.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 88%

Women in low- and middle-income countries receive antenatal care at health institutions, yet not delivered there: a multilevel analysis of 2016–2021 DHS data

Merid,

Chilot,

Yigzaw

et al. 2024

Trop Med Health

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“…A global OLS regression was chosen for the analysis of places of childbirth data (Awol & Jemal, 2023) and BCG vaccination among children 0-35 months (Agegnehu, & Alem, 2021) despite findings of spatially clustered service delivery. Linear regression was applied to places of birth data (Gudayu, 2022) despite findings of spatially clustered home births. An analysis by Tusa, Weldesenbet & Kebede (2016) found high incidences of underweight children to be spatially clustered, as did the study of common childhood illnesses and service utilization (Defar, Okwaraji, Tigabu, Persson, & Alemu, 2016).…”

Section: Existing Spatial Analyses Of the Edhs Datamentioning

confidence: 99%

“…An analysis by Tusa, Weldesenbet & Kebede (2016) found high incidences of underweight children to be spatially clustered, as did the study of common childhood illnesses and service utilization (Defar, Okwaraji, Tigabu, Persson, & Alemu, 2016). Determinants of home births were the subject of another study that found significant clustering but relied on OLS for further analysis (Gudayu, 2022). A global OLS regression analysis of drinking water sources was conducted despite the finding that unimproved water sources were spatially clustered (Bogale, 2020).…”

Section: Existing Spatial Analyses Of the Edhs Datamentioning

confidence: 99%

The Social Geography of Women’s Attitudes toward Wife-beating in Ethiopia: A Contribution Towards Proper Application of Spatial Statistics

Adugna

2023

JGG

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Spatial statistical measures have been applied to Ethiopia’s Demographic and Health Survey data (EDHS), mostly at the national level. However, there is concern that most applications violate basic principles of statistics regarding autocorrelation, or are not cognizant of the first law of geography which states that all things are related but near things are more related. This study investigates local variations in attitudes toward wife-beating in Ethiopia with education as the main correlate. It does so by using a spatial measure known as the geographically weighted regression (GWR) which is more appropriate in conditions of geographic non-stationarity than the ordinary least squares regression (OLS). Equally importantly, it examines the appropriateness of existing OLS-based spatial studies of EDHS data. We found that most studies inappropriately applied OLS despite findings of spatially autocorrelated data. The GWR model showed an association between acceptance of wife-beating and educational status. It also generated a list of twelve sampling clusters where most women respondents stated that wife-beating was acceptable while admitting to having had no formal education, and where local R2s exceeded 0.5 in GWR modeling involving 72 nearest neighbors per sampling cluster. An education-focused bi-variate rather than multi-variate GWR avoided issues of multicollinearity while keeping the model simple and its results actionable. Although the majority of the twelve sampling clusters are in Harari Wereda and Kilil, which got their name from members of the Harari ethnic group that are predominantly Muslim, it is difficult to pinpoint which factor or set of factors can be cited as causally associated with characteristics that placed them on the list. The study makes methodological contributions to spatial studies of sociodemographic characteristics of populations, especially those in developing countries such as Ethiopia where local factors show significant geographic variations. It also adds to the literature on applied geographically weighted regression.

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To what extent is antenatal care in public health facilities associated with delivery in public health facilities? Findings from a cross-section of women who had facility deliveries in Nigeria

et al. 2023

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Background Facility delivery remains an important public health issue in Nigeria. Studies have confirmed that antenatal care may improve the uptake of facility delivery. However, information is rarely available in Nigeria on the extent to which antenatal care in public health facilities is associated with delivery in public health facilities. The objective of the study was thus to examine the extent of the association between antenatal care in public health facilities and delivery in public health facilities in Nigeria. The study was guided by the Andersen behavioral model of health services use. Methods The cross-sectional design was adopted. Data were extracted from the most recent Nigeria Demographic and Health Survey (NDHS). A sample of 9,015 women was analyzed. The outcome variable was the facility for delivery. The main explanatory variable was the antenatal care facility. The predisposing factors were maternal age, age at first birth, parity, exposure to mass media, and, religion. The enabling factors were household wealth, work status, partners’ education, women’s autonomy, health insurance, and, perception of distance to the health facility. The need factors were pregnancy wantedness, the number of antenatal care visits, and the timing of the first antenatal care. Statistical analyses were performed with the aid of Stata version 14. Two binary logistic regression models were fitted. Results Findings showed that 69.6% of the women received antenatal care in public health facilities, while 91.6% of them subsequently utilized public health facilities for deliveries. The significant predisposing factors were age at first birth, parity, maternal education, and religion, while household wealth, work status, women’s autonomy, and partners’ education were the significant enabling factors. The timing of the first antenatal contact, pregnancy wantedness, and the number of antenatal care visits were the important need factors. Conclusion To a significant extent, antenatal care in public health facilities is associated with deliveries in public health facilities in Nigeria. It is imperative for governments in the country to take more steps to ensure the expanded availability of public health facilities in all parts of the country since their use for antenatal care is well-associated with their use for delivery care.

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Determinants of place birth: a multinomial logistic regression and spatial analysis of the Ethiopian mini demographic and health survey data, 2019

Cited by 3 publications

References 23 publications

Women in low- and middle-income countries receive antenatal care at health institutions, yet not delivered there: a multilevel analysis of 2016–2021 DHS data

Women in low- and middle-income countries receive antenatal care at health institutions, yet not delivered there: a multilevel analysis of 2016–2021 DHS data

The Social Geography of Women’s Attitudes toward Wife-beating in Ethiopia: A Contribution Towards Proper Application of Spatial Statistics

To what extent is antenatal care in public health facilities associated with delivery in public health facilities? Findings from a cross-section of women who had facility deliveries in Nigeria

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