Application of geographically weighted regression analysis to assess predictors of short birth interval hot spots in Ethiopia

Short birth interval prevalence, determinants and effects on maternal and child health outcomes in Asia-Pacific region: a systematic review and meta-analysis protocol

BACKGROUND

Short birth interval (SBI) has been linked to an increased risk of adverse maternal, perinatal, infant and child health outcomes. However, the prevalence and maternal and child health impacts of SBI in the Asia-Pacific region have not been well understood. This study aims to identify and summarise the existing evidence on SBI including its definition, measurement prevalence, determinants and association with adverse maternal and child health outcomes in the Asia-Pacific region.

METHODS

Five databases (MEDLINE, Scopus, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Maternity and Infant Care, and Web of Science (WoS)) will be systematically searched from September 2000 up to May 2023. Data will be extracted, charted, synthesised and summarised based on the outcomes measured, and where appropriate, meta-analysis will be performed. The risk of bias will be assessed using Joanna Briggs Institute quality appraisal. Grading of Recommendation Assessment, Development and Evaluation framework will be used to evaluate the quality of cumulative evidence from the included studies.

ETHICS AND DISSEMINATION

This review does not require ethics approval. Findings will be disseminated through peer-reviewed publications, policy briefs and conference presentations.

PROSPERO REGISTRATION NUMBER

A protocol will be registered on PROSPERO for each separate outcome before performing the review.Cite Now.

Contextual factors influencing incomplete immunization and investigation of its geospatial heterogeneity in Pakistan: a cross-sectional study based on PDHS (2017-18)

BACKGROUND

Immunization is one of the most effective public health initiatives, saving millions of lives and lowering the risk of diseases such as diphtheria, tetanus, influenza, and measles. Immunization saves an estimated 2-3 million lives per year. A study of the regional variations in incomplete immunization will be useful in identifying gaps in the performance of immunization programs that are not noticed by standard vaccination programs monitoring. The primary goal of this study was to identify factors influencing child immunization status and to examine regional variations in incomplete immunization among children aged 12 to 23 months in Pakistan.

METHODS

For the current study, the data were taken from the Demographic and Health Survey for Pakistan (PDHS 2017-2018). Ever-married women who had children aged 12-23 months were included in this study. The immunization status of children was used as an outcome variable. In order to determine the effects of different factors on incomplete immunization, multilevel logistic model was used. To study the geographical variation of incomplete immunization, hotspot analysis was done using ArcGIS 10.7 and SaTScan software and to identify significant predictors of incomplete immunization, GWR 4 software was used.

RESULTS

Place of delivery, gender of child, mother's educational level and region were identified as significant determinants of incomplete immunization of children in Pakistan. Chances of incomplete immunization of children were found significantly lower for educated mothers (AOR = 0.52, 95% CI 0.34-0.79) and mothers who had delivered children in the health facilities (AOR = 0.51, 95% CI 0.32-0.83). Female children were more likely (AOR = 1.44, 1.95% CI 1.04-1.99) to be incompletely immunized as compared to male children. FATA (AOR = 11.19, 95% CI 4.89-25.6), and Balochistan (AOR = 10.94, 95% CI 5.08-23.58) were found at the highest risk of incomplete immunization of children as compared to Punjab. The significant spatial heterogeneity of incomplete immunization was found across Pakistan. The spatial distribution of incomplete immunization was clustered all over Pakistan. The high prevalence of incomplete immunization was observed in Balochistan, South Sindh, North Sindh, South KPK, South FATA, Gilgit Baltistan, Azad Jammu Kashmir, South and East Punjab. Drang and Harcho were identified as hotspot areas of incomplete immunization in Gilgit Baltistan. Secondary clusters with a high risk of incomplete immunization were found in regions Balochistan, Sindh and FATA.

CONCLUSION

Gender biasedness towards female children, regarding complete immunization of children prevailed in Pakistan. Spatial heterogeneity was also found for incomplete immunization of children. To overcome the problem access to health facilities is the foremost step. Government should target hotspot areas of incomplete immunization of children to provide primary health care facilities by opening health care units in these areas. The government in collaboration with the media should launch awareness campaigns in those areas to convince people that complete immunization is the right of every child regardless of gender.

Spatial distribution of short birth interval and associated factors among reproductive age women in Ethiopia: spatial and multilevel analysis of 2019 Ethiopian mini demographic and health survey

BACKGROUND

Short Birth Interval negatively affects the health of both mothers and children in developing countries. Studies conducted in Ethiopia on the spatial variation and determinants of individual and community-level factors about short birth intervals were limited. Thus, this study was intended to assess the spatial variation of the short birth interval and its determinants in Ethiopia.

METHODS

This study is a secondary analysis of the Ethiopian Demographic and Health Survey (mini EDHS 2019). A total of 1784 reproductive-age women were included in the analysis. The global spatial autocorrelation (Global Moran's I) and the Getis-Ord statistics tool were used to detect the presence of clustering and the high/low hotspot areas of SBI respectively. Ordinary kriging was used to interpolate short birth intervals, and spatial scan statistics were employed to identify spatial clusters with high and low SBI. A multilevel multivariable model was used to identify predictors of a short birth interval.

RESULTS

The prevalence of SBI was 62.89% (95%CI: 59.3, 69.7) in Ethiopia. High clustering of SBI was observed in all parts of Somali, in Afar (zones 1, 3, 4, &5), Oromia (Guje, Bale, & West Harerge), and northern Tigray. The most likely significant primary cluster was observed in the Somali region. Women who lived in the primary cluster were 24% more likely to have a short birth interval than those who lived outside the window. In the multilevel mixed-effect analysis age 25-34 [(AOR = 0.40, 95% CI: 0.35, 0.45)], 35-49 [(AOR = 0.44, 95% CI: 0.38, 0.51)], Muslim religion follower [(AOR = 3.5, 95% CI: 2.7, 4.69)], no formal education [(AOR = 0.5, 95% CI: 0.37, 0.70)], primary education[(AOR = 0.4, 95%CI: 0.28, 0.53)], and secondary education [(AOR = 0.3, 95% CI: 0.24, 0.48)], middle [(AOR: 1.3, 95% CI: 1.2, 1.52)], rich wealth status [(AOR: 1.4, 95% CI: 1.3, 1.68)], female sex children [(AOR: 1.2, 95% CI: 1.09, 1.42)], and two or fewer ideal number of children [(AOR = 0.2, 95% CI: 0.25, 0.32)] were found to be significant predictors of SBI.

CONCLUSION

Overall, SBI was high and significantly clustered across the region of Ethiopia. Age, religion, education, wealth status, the sex of the indexed child, and the ideal number of children were found to be significantly associated with short birth intervals. Hence, the government should design a health promotion strategy and public health awareness in the identified hotspot areas of SBI and should scale up family planning and the wealth status of reproductive-age women.

Spatio-temporal pattern of short birth interval and associated factors on women in Ethiopia: Using Ethiopian demographic and health surveys 2000–2016

Background

A short birth interval is a critical factor that contributes to a large number of maternal and infant mortality in low- and middle-income countries. It is the major cause of maternal and child mortality in Ethiopia. This study aimed to explore the spatiotemporal distribution of short birth intervals in Ethiopia using data from four (2000, 2005, 2011, and 2016) consecutive demographic and health surveys.

Methods

A total of 34,930 women were included in four consecutive Ethiopian Demographic and Health Surveys (EDHS). Thus, spatial autocorrelation, hotspot analysis, cluster analysis, and spatial interpolation were carried out for each survey separately to show the geographical and temporal pattern of at-risk areas for short birth intervals in Ethiopia. Finally, the highest proportion of short birth interval risk areas in each survey period was mapped. Geospatial analysis was conducted by using ArcGIS V.10.8 and R version 4.2.

Results

The results of the study indicated that the overall proportion of short birth intervals of women in Ethiopia was highest in 2000 (47.5%), 2005 (46.4%), 2011 (44.7%), and the lowest in 2016 (44.0%). The values for Global Moran’s I (MI = 0.177665 p = 0.0016, MI = 0.2024, p = 0.001, MI = 0.10023, p = 0.002, and MI = 0.764, p = 0.008) showed that the presence of significant short birth interval clustering in Ethiopian administrative zones in 2000, 2005, 2011, and 2016, respectively. The hotspot areas for short birth intervals were consistently observed in the zones in the Somali Region and the zones in the Harari Region for all the EDHS years. In addition, the survival status of the index child, residence, breastfeeding practice, religion, and the spatial variable (Si) were significantly associated with the short birth interval of women in all the EDHS years.

Conclusion

Spatial distribution of short birth intervals differs across Ethiopian administrative zones. Survival status of the index child being dead, rural residential, and no breastfeeding practice are the risk factors for short birth intervals of women that increase the risk of a short birth interval among women in all the EDHS years. Therefore, the hotspot areas and indicators need interventions to decrease the short birth interval of women.

Spatial distribution and determinants of high-risk fertility behavior among reproductive-age women in Ethiopia

BACKGROUND

In low-and-middle-income, including Ethiopia, high-risk fertility behavior is a major public health concern. High-risk fertility behavior has an adverse influence on maternal and child health, which hampered efforts to reduce maternal and child morbidity and mortality in Ethiopia. Therefore, this study aimed to assess the spatial distribution and associated factors of high-risk fertility behavior among reproductive-age women in Ethiopia using recent nationally representative data.

METHODS

Secondary data analysis was done with a total weighted sample of 5865 reproductive-aged women using the latest mini EDHS 2019. The spatial distribution of high-risk fertility behavior in Ethiopia was determined using spatial analysis. Multilevel multivariable regression analysis was used to identify predictors of high-risk fertility behavior in Ethiopia.

RESULTS

The prevalence of high-risk fertility behavior among reproductive-age women in Ethiopia was 73.50% (95% CI 72.36%, 74.62%). Women with primary education [AOR = 0.44; 95%CI; 0.37, 0.52], women with secondary and above education [AOR = 0.26; 95%CI; 0.20, 0.34], being Protestant religion followers [AOR = 1.47; 95%CI; 1.15, 1.89], being Muslim religion follower [AOR = 1.56; 95%CI; 1.20, 2.01], having television [AOR = 2.06; 95%CI; 1.54, 2.76], having ANC visit [AOR = 0.78; 95%CI; 0.61, 0.99], using contraception [AOR = 0.77; 95%CI; 0.65, 0.90], living in rural areas [AOR = 1.75; 95%CI; 1.22, 2.50] were significantly associated with high-risk fertility behavior. Significant hotspots of high-risk fertility behavior were detected in Somalia, SNNPR, Tigray region, and Afar regions of Ethiopia.

CONCLUSIONS

A significant proportion of women in Ethiopia engaged in high-risk fertility behavior. High-risk fertility behavior was distributed non-randomly across Ethiopian regions. Policymakers and stakeholders should design interventions that take into account the factors that predispose women to have high-risk fertility behaviors and women who reside in areas with a high proportion of high-risk fertility behaviors to reduce the consequences of high-risk fertility behaviors.

Factors associated with short birth interval among reproductive-age women in East Africa

BACKGROUND

Child and maternal mortality continue as a major public health concern in East African countries. Optimal birth interval is a key strategy to curve the huge burden of maternal, neonatal, infant, and child mortality. To reduce the incidence of adverse pregnancy outcomes, the World Health Organization recommends a minimum of 33 months between two consecutive births. Even though short birth interval is most common in many East African countries, as to our search of literature there is limited study published on factors associated with short birth interval. Therefore, this study investigated factors associated with short birth intervals among women in East Africa.

OBJECTIVE

To identify factors associated with short birth intervals among reproductive-age women in East Africa based on the most recent demographic and health survey data.

DESIGN

A community-based cross-sectional study was conducted based on the most recent demographic and health survey data of 12 East African countries. A two-stage stratified cluster sampling technique was employed to recruit the study participants.

METHODS AND ANALYSIS

A total weighted sample of 105,782 reproductive-age women who had two or more births were included. A multilevel binary logistic regression model was fitted to identify factors associated with short birth interval. Four nested models were fitted and a model with the lowest deviance value (-2log-likelihood ratio) was chosen. In the multivariable multilevel binary logistic regression analysis, the adjusted odds ratio with the 95% confidence interval was reported to declare the statistical significance and strength of association between short birth interval and independent variables.

RESULTS

The prevalence of short birth interval in East Africa was 16.99% (95% confidence interval: 16.76%, 17.21%). Women aged 25-34 years, who completed their primary education, and did not perceive the distance to the health facility as a major problem had lower odds of short birth interval. On the contrary, women who belonged to the poorest household, made their own decisions with their husbands/partners or by their husbands or parents alone, lived in households headed by men, had unmet family planning needs, and were multiparous had higher odds of having short birth interval.

CONCLUSION

Nearly one-fifth of births in East Africa had short birth interval. Therefore, it is essential to promote family planning coverage, improve maternal education, and empower women to decrease the incidence of short birth intervals and their effects.

Impact of socioeconomic factors and health determinants on preterm birth in Brazil: a register-based study

BACKGROUND

More than 15 million children are born preterm annually. While preterm survival rates have increased in high-income countries. Low- and middle-income countries, like Brazil, continue to battle high neonatal mortality rates due to a lack of adequate postnatal care. Globally, neonatal mortality is higher for preterm infants compared to those born at term. Our study aims to map and analyze the spatial, socioeconomic, and health coverage determinants related to preterm birth in Brazil in order to understand how spatial variations in demographics and access to primary care may affect preterm birth occurrences.  METHODS: Using publicly available national-level data from the Brazilian health system for 2008-2017, we conducted an ecological study to visualize the spatial distributions of preterm birth along with socioeconomic status, the structure of health services, and primary care work process, each consisting of multiple variables reduced via principal component analysis. Regression models were created to determine predictive effects of numeric and spatial variation of these scores on preterm birth rates.

RESULTS

In Brazil, preterm birth rates increased from 2008-2017, with small and rural municipalities frequently exhibiting higher rates than urban areas. Scores in socioeconomic status and work process were significant predictors of preterm birth rates, without taking into account spatial adjustment, with more positive scores in socioeconomic status predicting higher preterm birth rates (coefficient 0.001145) and higher scores in work process predicting lower preterm birth rates (coefficient -0.002416). Geographically weighted regression showed socioeconomic status to be a more significant predictor in the North, with the work process indicators being most significant in the Northeast.

CONCLUSIONS

Results support that primary care work process indicators are more significant in estimating preterm birth rates than physical structures available for care. These results emphasize the importance of ensuring the presence of the minimum human resources needed, especially in the most deprived areas of Brazil. The association between social determinants of health and preterm birth rates raises questions regarding the importance of policies dedicated to foster equity in the accessibility of healthcare services, and improve income as protective proxies for preterm birth.

Exploring spatial variations in level and predictors of unskilled birth attendant delivery in Bangladesh using spatial analysis techniques: Findings from nationally representative survey data

Background

Bangladesh has failed to meet the United Nations goal for reducing maternal mortality in the last decade. The high prevalence of unskilled birth attendant (UBA) delivery (47%) has resulted in negative consequences for the health of mothers and newborn babies in the country. Spatial variations in UBA delivery and its predictors are yet to be explored in Bangladesh, which could be very helpful in formulating cost-effective policies for reducing that. This study examines the spatial variations in UBA delivery and its predictors in Bangladesh.

Methods

This study analyzed the characteristics of 672 clusters extracted from the 2017/18 Bangladesh Demographic and Health Survey, and healthcare facility data from the 2017 Bangladesh Health Facility Survey. These data were analyzed using descriptive and spatial analyses (hot spot analysis, Ordinary Least Squares Regression, and Geographically Weighted Regression) techniques.

Results

Statistically significant hot spots of UBA delivery were concentrated in parts of the Mymensingh, Sylhet, Barishal, and Rangpur regions, while Khulna was the safest region. Predictive strengths of the statistically significant predictors of spatial variation in UBA delivery were observed to vary considerably across the regions. Poorest household wealth status and less than four antenatal care contacts emerged as strong predictors of UBA delivery in all the aforementioned hot spot-stricken regions, except Barisal. Additionally, primiparity and all secondary education or higher were strong predictors of lower UBA delivery rates in Mymensingh and Sylhet, while poorer household wealth status was also a strong predictor of UBA delivery in Sylhet. Multiparity was an additional strong predictor of UBA delivery in Rangpur. In Barisal, only poorer household wealth status exerted a strong positive influence on UBA delivery.

Conclusions

The remarkable spatial variations in UBA delivery and its predictors’ strengths indicate that geographically-targeted interventions could be a cost-effective method for reducing the UBA delivery prevalence in Bangladesh, thereby improve maternal and child health.

Exploring hot spots of short birth intervals and associated factors using a nationally representative survey in Bangladesh

Short Birth Interval (SBI, defined as < 33 months interval between the two most recent births or < 24 months between one live birth to the next pregnancy) is a public health problem in most low- and lower-middle-income countries. Understanding geographic variations in SBI, particularly SBI hot spots and associated factors, may help intervene with tailored programs. This study identified the geographical hot spots of SBI in Bangladesh and the factors associated with them. We analyzed women's data extracted from the 2017/18 Bangladesh Demographic and Health Survey and the healthcare facility data extracted from the 2017 Service Provision Assessment. SBI was the outcome variable, and it was defined as an interval between consecutive births of 33 months or less, as recommended by the World Health Organization. The characteristics of mothers and their partners were the explanatory variables. Moran's I was used to examine the spatial variation of SBI in Bangladesh whereas the Getis-Ord [Formula: see text](d) was used to determine the hot spots of SBI. The Geographical Weighted Regression (GWR) was used to assess the predictors of SBI at the enumeration areas' level. The variables included in the GWR were selected using the exploratory regression and ordinary least square regression model. Data of 5941 women were included in the analyses. Around 26% of the total births in Bangladesh had occurred in short intervals. A majority of the SBI hot spots were found in the Sylhet division, and almost all SBI cold spots were in the Rajshahi and Khulna divisions. No engagement with formal income-generating activities, high maternal parity, and history of experiencing the death of a child were significantly associated with SBI in the Sylhet division. Women's age of 34 years or less at the first birth was a protective factor of SBI in the Rajshahi and Khulna divisions. The prevalence of SBI in Bangladesh is highly clustered in the Sylhet division. We recommend introducing tailored reproductive health care services in the hot spots instead of the existing uniform approach across the country.

Maternal anemia and baby birth size mediate the association between short birth interval and under-five undernutrition in Ethiopia: a generalized structural equation modeling approach

Background

Studies assessing the association between short birth interval, a birth-to-birth interval of less than 33 months, and under-five undernutrition have produced inconclusive results. This study aimed to assess the relationship between short birth interval and outcomes of stunting, underweight, and wasting among children aged under-five in Ethiopia, and potential mediation of any associations by maternal anemia and baby birth size.

Method

Data from the 2016 Ethiopia Demographic and Health Survey (EDHS) was used. Stunting, wasting, and underweight among children aged under-five were outcome variables. Generalized Structural Equation Modeling (GSEM) was used to examine associations between short birth interval and outcomes, and to assess hypothesized mediation by maternal anemia and baby birth size.

Results

Significant associations between short birth interval and stunting (AOR = 1.49; 95% CI = 1.35, 1.66) and underweight (AOR = 1.43; 95% CI = 1.28, 1.61) were found. There was no observed association between short birth interval and wasting (AOR = 1.05; 95% CI = 0.90, 1.23). Maternal anemia and baby birth size had a significant partial mediation effect on the association between short birth interval and stunting (the coefficient reduced from β = 0.337, p < 0.001 to β = 0.286, p < 0.001) and underweight (the coefficient reduced from β = 0.449, p < 0.001 to β = 0.338, p < 0.001). Maternal anemia and baby birth size mediated 4.2% and 4.6% of the total effect of short birth interval on stunting and underweight, respectively.

Conclusion

Maternal anemia and baby birth size were identified as mediators of the association between short birth interval and under-five undernutrition status. Policies and programs targeting the reduction of under-five undernutrition should integrate strategies to reduce maternal anemia and small baby birth size in addition to short birth interval.

Delineation of Nitrate Reduction Hotspots in Artificially Drained Areas through Assessment of Small-Scale Spatial Variability of Electrical Conductivity Data

Identification of nitrate reduction hotspots (NRH) can be instrumental in implementing targeted strategies for reducing nitrate loading from agriculture. In this study, we aimed to delineate possible NRH areas from soil depths of 80 to 180 cm in an artificially drained catchment by utilizing electrical conductivity (EC) values derived by the inversion of apparent electrical conductivity data measured by an electromagnetic induction instrument. The NRH areas were derived from the subzones generated from clustering the EC values via two methods, unsupervised ISODATA clustering and the Optimized Hot Spot Analysis, that highly complement each other. The clustering of EC values generated three classes, wherein the classes with high EC values correspond to NRH areas as indicated by their low redox potential values and nitrate (NO₃⁻) concentrations. Nitrate concentrations in the NRH were equal to 13 to 17% of the concentrations in non-NRH areas and occupied 26% of the total area of the drainage catchments in the study. It is likely that, with the identification of NRH areas, the degree of nitrogen reduction in the vadose zone may be higher than initially estimated at the subcatchment scale.

Determinants of short birth interval among ever married reproductive age women living in Jigjiga, Eastern Ethiopia 2020 (unmatched case-control study)

Objectives:

A short birth interval is a universal public health problem resulting in adverse maternal, neonatal, and child outcomes. Therefore, the aim of this study was to identify determinants of short birth interval among ever married reproductive age mothers who live in Jigjiga city administration, Eastern Ethiopia, 2020.

Methods:

A community-based unmatched case–control study was used among 194 cases and 194 controls in Jigjiga city administration from September to December 2020. Cases were women with short birth interval (less than 3 years) and controls were women with optimum birth interval (3–5 years). Simple random sampling technique was employed to select cases and controls. Data were entered into Epi data version 4.2 and analysis with SPSS version 22. Binary logistic regression with 95% confidence interval at p < 0.05 is used to declare significantly associated predictors of short birth interval.

Result:

This study reported that women who have not attended formal education (adjusted odds ratio = 5.28, 95% confidence interval: (2.25–12.36)), attended primary education (adjusted odds ratio = 2.79, 95% confidence interval: (1.46–5.34)), women who married to a polygamous husband (adjusted odds ratio = 3.69, 95% confidence interval: (1.80–7.58)), having a history of neonatal death (adjusted odds ratio = 2.15, 95% confidence interval: (1.07–4.32)), preceding child being female (adjusted odds ratio = 3.69, 95% confidence interval: (2.02–6.72)), and never used contraceptive methods (adjusted odds ratio = 3.69, 95% confidence interval: (2.02–6.72)) were identified as determinants of the short birth interval.

Conclusion:

Short birth intervals were associated with educational level of the women, sex of the baby, husband marriage types, history of neonatal death, and contraceptive utilization. Strategy should be engaged to enhance women education, contraceptive uses, and to decrease neonatal death.

Effects of short birth interval on neonatal, infant and under-five child mortality in Ethiopia: a nationally representative observational study using inverse probability of treatment weighting

OBJECTIVE

To assess the effect of short birth interval (SBI) on neonatal, infant, and under-five mortality in Ethiopia.

DESIGN

A nationally representative cross-sectional survey.

SETTING

This study used data from the Ethiopia Demographic and Health Survey 2016.

PARTICIPANTS

A total of 8448 women who had at least two live births during the 5 years preceding the survey were included in the analysis.

OUTCOME MEASURES

Neonatal mortality (death of the child within 28 days of birth), infant mortality (death between birth and 11 months) and under-five mortality (death between birth and 59 months) were the outcome variables.

METHODS

Weighted logistic regression analysis based on inverse probability of treatment weights was used to estimate exposure effects adjusted for potential confounders.

RESULTS

The adjusted ORs (AORs) of neonatal mortality were about 85% higher among women with SBI (AOR=1.85, 95% CI=1.19 to 2.89) than those without. The odds of infant mortality were twofold higher (AOR=2.16, 95% CI=1.49 to 3.11) among women with SBI. The odds of under-five child mortality were also about two times (AOR=2.26, 95% CI=1.60 to 3.17) higher among women with SBI.

CONCLUSION

SBI has a significant effect on neonatal, infant and under-five mortality in Ethiopia. Interventions targeting SBI are warranted to reduce neonatal, infant and under-five mortality.

Multilevel geospatial analysis of factors associated with unskilled birth attendance in Ghana

Background

Globally, about 810 women die every day due to pregnancy and its related complications. Although the death of women during pregnancy or childbirth has declined from 342 deaths to 211 deaths per 100,000 live births between 2000 and 2017, maternal mortality is still higher, particularly in sub-Saharan Africa and South Asia, where 86% of all deaths occur.

Methods

A secondary analysis was carried out using the 2014 Ghana Demographic and Health Survey. A sample total of 4,290 women who had a live birth in the 5 years preceding the survey was included in the analysis. GIS software was used to explore the spatial distribution of unskilled birth attendance in Ghana. The Geographic Weighted Regression (GWR) was employed to model the spatial relationship of some predictor of unskilled birth attendance. Moreover, a multilevel binary logistic regression model was fitted to identify factors associated with unskilled birth attendance.

Results

In this study, unskilled birth attendance had spatial variations across the country. The hotspot, cluster and outlier analysis identified the concerned districts in the north-eastern part of Ghana. The GWR analysis identified different predictors of unskilled birth attendance across districts of Ghana. In the multilevel analysis, mothers with no education, no health insurance coverage, and mothers from households with lower wealth status had higher odds of unskilled birth attendance. Being multi and grand multiparous, perception of distance from the health facility as not a big problem, urban residence, women residing in communities with medium and higher poverty level had lower odds of unskilled birth attendance.

Conclusion

Unskilled birth attendance had spatial variations across the country. Areas with high levels of unskilled birth attendance had mothers who had no formal education, not health insured, mothers from poor households and communities, primiparous women, mothers from remote and border districts could get special attention in terms of allocation of resources including skilled human power, and improved access to health facilities.