A brief conceptual tutorial on multilevel analysis in social epidemiology: interpreting neighbourhood differences and the effect of neighbourhood characteristics on individual health

The association between smoking and cervical human papillomavirus infection among women from indigenous communities in western Botswana

INTRODUCTION

Cervical cancer, a malignancy caused by infection with oncogenic human papillomavirus, disproportionally affects women from low resource settings. Persistence of human papillomavirus infection may mediate an association between tobacco use and cervical cancer. In limited resource settings, women from indigenous communities are often marginalized and do not benefit from evidence-based interventions to prevent tobacco use or cervical cancer due to the limited reach of mainstream healthcare services to these communities. This study determined the association between smoking and high-risk human papillomavirus infection among women from indigenous communities in western Botswana.

METHODS

A cross-sectional study of women in indigenous communities was conducted between June and October 2022. Demographic, clinical and self-reported smoking data were collected. Cervical cytology and HPV DNA testing for high-risk human papillomavirus genotypes were performed. Multilevel multivariable logistic regression models were fit to evaluate the association between smoking and high-risk human papillomavirus infection while adjusting for potential confounders.

RESULTS

A total of 171 participants with a median (interquartile range) age of 40 (31-50) years from three settlements and two villages were recruited for the study. Of these, 17% were current smokers, 32.8% were living with HIV and high-risk human papillomavirus DNA was detected in 32.8% of the cervical specimens. Women who were current smokers, were nearly twice as likely to have cervical high-risk human papillomavirus infection compared to non-smokers (Adjusted Odds Ratio (95% CI); 1.74(1.09, 2.79)) after controlling for confounders.

CONCLUSION

These data underscore the need for effective tobacco control to help mitigate cervical cancer risk in this setting. These findings can help inform decisions about targeted cervical cancer prevention and tobacco cessation interventions for women from indigenous communities.

Variation in Hospital Neuraxial Labor Analgesia Rates in California

BACKGROUND

Neuraxial analgesia provides effective pain relief during labor. However, it is unclear whether neuraxial analgesia prevalence differs across U.S. hospitals. The aim of this study was to assess hospital variation in neuraxial analgesia prevalence in California.

METHODS

A retrospective cross-sectional study analyzed birthing patients who underwent labor in 200 California hospitals from 2016 to 2020. The primary exposure was the delivery hospital. The outcomes were hospital neuraxial analgesia prevalence and between-hospital variability, before and after adjustment for patient and hospital factors. Median odds ratio and intraclass correlation coefficients quantified between-hospital variability. The median odds ratio estimated the odds of a patient receiving neuraxial analgesia when moving between hospitals. The intraclass correlation coefficients quantified the proportion of the total variance in neuraxial analgesia use due to variation between hospitals.

RESULTS

Among 1,510,750 patients who underwent labor, 1,040,483 (68.9%) received neuraxial analgesia. Both unadjusted and adjusted hospital prevalence exhibited a skewed distribution characterized by a long left tail. The unadjusted and adjusted prevalences were 5.4% and 6.0% at the 1st percentile, 21.0% and 21.2% at the 5th percentile, 70.6% and 70.7% at the 50th percentile, 75.8% and 76.6% at the 95th percentile, and 75.9% and 78.6% at the 99th percentile, respectively. The adjusted median odds ratio (2.3; 95% CI, 2.1 to 2.5) indicated substantially increased odds of a patient receiving neuraxial analgesia if they moved from a hospital with a lower odds of neuraxial analgesia to one with higher odds. The hospital explained only a moderate portion of the overall variability in neuraxial analgesia (intraclass correlation coefficient, 19.1%; 95% CI, 18.8 to 20.5%).

CONCLUSIONS

A long left tail in the distribution and wide variation exist in the neuraxial analgesia prevalence across California hospitals that is not explained by patient and hospital factors. Addressing the low prevalence among hospitals in the left tail requires exploration of the interplay between patient preferences, staffing availability, and care providers' attitudes toward neuraxial analgesia.

EDITOR’S PERSPECTIVE

Hotspot areas of risky sexual behaviour and associated factors in Ethiopia: Further spatial and mixed effect analysis of Ethiopian demographic health survey

INTRODUCTION

Sexual behaviour needs to take a central position in the heart of public health policy makers and researchers. This is important in view of its association with Sexually Transmitted Infections (STIs), including HIV. Though the prevalence of HIV/AIDS is declining in Ethiopia, the country is still one of the hardest hit in the continent of Africa. Hence, this study was aimed at identifying hot spot areas and associated factors of risky sexual behavior (RSB). This would be vital for more targeted interventions which can produce a sexually healthy community in Ethiopia.

METHODS

In this study, a cross-sectional survey study design was employed. A further analysis of the 2016 Ethiopia Demographic and Health Survey data was done on a total weighted sample of 10,518 women and men age 15-49 years. ArcGIS version 10.7 and Kuldorff's SaTScan version 9.6 software were used for spatial analysis. Global Moran's I statistic was employed to test the spatial autocorrelation, and Getis-Ord Gi* as well as Bernoulli-based purely spatial scan statistics were used to detect significant spatial clusters of RSB. Mixed effect multivariable logistic regression model was fitted to identify predictors and variables with a p-value ≤0.05 were considered as statistically significant.

RESULT

The study subjects who had RSB were found to account about 10.2% (95% CI: 9.64%, 10.81%) of the population, and spatial clustering of RSB was observed (Moran's I = 0.82, p-value = 0.001). Significant hot spot areas of RSB were observed in Gambela, Addis Ababa and Dire Dawa. The primary and secondary SaTScan clusters were detected in Addis Ababa (RR = 3.26, LLR = 111.59, P<0.01), and almost the entire Gambela (RR = 2.95, LLR = 56.45, P<0.01) respectively. Age, literacy level, smoking status, ever heard of HIV/AIDS, residence and region were found to be significant predictors of RSB.

CONCLUSION

In this study, spatial clustering of risky sexual behaviour was observed in Ethiopia, and hot spot clusters were detected in Addis Ababa, Dire Dawa and Gambela regions. Therefore, interventions which can mitigate RSB should be designed and implemented in the identified hot spot areas of Ethiopia. Interventions targeting the identified factors could be helpful in controlling the problem.

A multilevel analysis of the determinants of HIV testing among men in Sub-Saharan Africa: Evidence from Demographic and Health Surveys across 10 African countries

Sub-Saharan Africa, the epicenter of the HIV epidemic, has seen significant reductions in new infections over the last decade. Although most new infections have been reported among women, particularly adolescent girls, men are still disadvantaged in accessing HIV testing, care, and treatment services. Globally, men have relatively poorer HIV testing, care, and treatment indices when compared with women. Gender norms and the associated concept of masculinity, strength, and stereotypes have been highlighted as hindering men's acceptance of HIV counseling and testing. Therefore, men's suboptimal uptake of HIV testing services will continue limiting efforts to achieve HIV epidemic control. Thus, this study aimed to identify individual, neighborhood, and country-level determinants of sub-optimal HIV testing among men in Sub-Saharan African countries. We analyzed demographic and health datasets from surveys conducted between 2016 and 2020 in Sub-Saharan African Countries. We conducted multivariable multilevel regression analysis on 52,641 men aged 15-49 years resident in 4,587 clusters across 10 countries. The primary outcome variable was ever tested for HIV. HIV testing services uptake among men in these ten Sub-Saharan African countries was 35.1%, with a high of 65.5% in Rwanda to a low of 10.2% in Guinea. HIV testing services uptake was more likely in men with increasing age, some form of formal education, in employment, ever married, and residents in relatively wealthier households. We also found that men who possessed health insurance, had some form of weekly media exposure, and had accessed the internet were more likely to have ever received an HIV test. Unlike those noted to be less likely to have ever received an HIV test if they had discriminatory attitudes towards HIV, comprehensive HIV knowledge, recent sexual activity, and risky sexual behavior were positive predictors of HIV testing services uptake among men. Furthermore, men in communities with high rurality and illiteracy were less likely to receive an HIV test. Individual and community-level factors influence the uptake of HIV testing among Sub-Saharan African men. There was evidence of geographical clustering in HIV testing uptake among men at the community level, with about two-thirds of the variability attributable to community-level factors. Therefore, HIV testing programs will need to design interventions that ensure equal access to HIV testing services informed by neighborhood socioeconomic conditions, peculiarities, and contexts.

Racial and Economic Segregation Over the Life Course and Incident Hypertensive Disorders of Pregnancy Among Black Women in California

Black women in the United States have the highest incidence of hypertensive disorders of pregnancy (HDP) and are disproportionately burdened by its adverse sequalae, compared with women of all racial and ethnic groups. Segregation, a key driver of structural racism for Black families, can provide information critical to understanding these disparities. We examined the association between racial and economic segregation at 2 points and incident HDP using intergenerationally linked birth records of 45,204 Black California-born primiparous mothers (born 1982-1997) and their infants (born 1997-2011), with HDP ascertained from hospital discharge records. Women's early childhood and adulthood neighborhoods were categorized as deprived, mixed, or privileged based on the Index of Concentration at the Extremes (a measure of concentrated racial and economic segregation), yielding 9 life-course trajectories. Women living in deprived neighborhoods at both time points experienced the highest odds of HDP (from mixed effect logistic regression, unadjusted odds ratio = 1.26, 95% confidence interval: 1.13, 1.40) compared with women living in privileged neighborhoods at both time points. All trajectories involving residence in a deprived neighborhood in early childhood or adulthood were associated with increased odds of HDP, whereas mixed-privileged and privileged-mixed trajectories were not. Future studies should assess the causal nature of these associations.

Spatial distribution and determinants of unmet need for family planning among all reproductive‑age women in Uganda: a multi‑level logistic regression modeling approach and spatial analysis

INTRODUCTION

Unmet need for family planning is defined as the percentage of sexually active and fecund women who want to delay the next birth (birth spacing) or who want to stop childbirth (birth limiting) beyond two years but who are not using any modern or traditional method of contraception. Despite the provision of family planning services, the unmet need of family planning remains a challenge in low- and middle-income countries (LMICs). Thus, this study aimed to assess the spatial distribution and determinant factors of unmet need for family planning among all reproductive‑age women in Uganda.

METHODS

A secondary data analysis was done based on 2016 Ugandan Demographic and Health Surveys (UDHS). Total weighted samples of 18,506 women were included. Data processing and analysis were performed using SPSS Version 26, STATA 14.2, ArcGIS 10.8, and SaTScan 10.1.2 software. Spatial autocorrelation and hotspot analysis was made using Global Moran's index (Moran's I) and Gettis-OrdGi*statistics, respectively. Determinants of unmet needs for family planning were identified by multi-level logistic regression analysis. Variables with a p-value < 0.05 were declared statistically significant predictors.

RESULTS

The spatial distribution of unmet need for family planning among women of reproductive age in Uganda was found to be clustered (Global Moran's I = 0.27, Z-score of 12.71, and p-value < 0.0001). In the multivariable multilevel logistic regression analysis; women in West Nile (AOR = 1.86, 95% CI: 1.39, 2.47), aged 25-49 years old (AOR = .84; 95% CI .72, .99), highly educated (AOR = .69; 95% CI .54, .88), Muslim (AOR = 1.20, 95% CI: 1.03, 1.39), high wealth status (AOR = .73, 95% CI: .64, .82), and had five or more living child (AOR = 1.69, 95% CI: 1.51, 1.88) were significant predictors of unmet need for family planning. Significant hotspot areas were identified in West Nile, Acholi, Teso, and Busoga regions.

CONCLUSION

A significant clustering of unmet need for family planning were found in Uganda. Moreover, age, educational status, religion, wealth status, number of alive children, and region were significant predictors of unmet need for family planning. Therefore, in order to minimize the burdens associated with unmet need, an interventions focusing on promotion of sexual and reproductive health service should be addressed to the identified hotspot areas.

Quality improvement of Dutch ICUs from 2009 to 2021: A registry based observational study

PURPOSE

To investigate the development in quality of ICU care over time using the Dutch National Intensive Care Evaluation (NICE) registry.

MATERIALS AND METHODS

We included data from all ICU admissions in the Netherlands from those ICUs that submitted complete data between 2009 and 2021 to the NICE registry. We determined median and interquartile range for eight quality indicators. To evaluate changes over time on the indicators, we performed multilevel regression analyses, once without and once with the COVID-19 years 2020 and 2021 included. Additionally we explored between-ICU heterogeneity by calculating intraclass correlation coefficients (ICC).

RESULTS

705,822 ICU admissions from 55 (65%) ICUs were included in the analyses. ICU length of stay (LOS), duration of mechanical ventilation (MV), readmissions, in-hospital mortality, hypoglycemia, and pressure ulcers decreased significantly between 2009 and 2019 (OR <1). After including the COVID-19 pandemic years, the significant change in MV duration, ICU LOS, and pressure ulcers disappeared. We found an ICC ≤0.07 on the quality indicators for all years, except for pressure ulcers with an ICC of 0.27 for 2009 to 2021.

CONCLUSIONS

Quality of Dutch ICU care based on seven indicators significantly improved from 2009 to 2019 and between-ICU heterogeneity is medium to small, except for pressure ulcers. The COVID-19 pandemic disturbed the trend in quality improvement, but unaltered the between-ICU heterogeneity.

Magnitude and determinant of healthcare-seeking behavior for childhood acute respiratory tract infections in Ethiopia: a cross-sectional study

BACKGROUND

Acute respiratory infections (ARIs) remain a major public health concern which become the leading cause of mortality and morbidity in children under the age of five. A large percentage of childhood deaths and complications can be avoided by seeking proper medical care. Therefore, this study aimed to assess the magnitude, and individual and community-level determinants of mothers' healthcare-seeking behavior for their children under the age of five who had ARI symptoms in Ethiopia.

METHOD

A secondary data analysis was conducted using the 2016 Ethiopian Demographic and Health Surveys(EDHS) with a total weighted sample of 643 under-five children who had ARI symptoms within two weeks of the survey. Due to the hierarchical nature of the EDHS data, a multi-level logistic regression model was used to identify the individual and community-level factors influencing mothers' health care-seeking behavior for their children with ARI symptoms. In the multivariable multilevel analysis, those variables with a p-value < 0.05 were considered to be significant predictors of the outcome variable.

RESULTS

Healthcare-seeking behavior among mothers or caregivers for children with symptoms of ARIs was 32.61% (95% CI: 29.08-36.33%) in Ethiopia. The ICC in the null model indicated that about 55% of the total variability of treatment-seeking behavior was due to differences between clusters. Child aged > 24 months [AOR = 0.35; 0.19-0.63], having primary education [AOR = 3.25; 1.27-8.32], being media exposed [AOR = 2.49; 1.15, 5.38], female household head[AOR = 3.90; 1.35, 11.24], and delivery at health institution[AOR = 2.24; 1.00, 5.01] were significant predictors of health care seeking behavior of mother for their children with ARI symptoms.

CONCLUSION

There is poor treatment-seeking behavior for children with symptoms of ARI in Ethiopia with significant community level variations. The multilevel logistic regression analysis showed that improving mothers' education, women's empowerment, facilitating institutional delivery and media accessibility are critical to promoting health-seeking behaviors among mothers or caregivers of under-five children with ARI symptoms. Hence, concerned bodies should design targeted interventions that increase mothers' or caregivers' treatment-seeking behavior for childhood ARI to reduce child morbidity and mortality.

Determinants and geographic distribution of early newborn care in Ethiopia: evidence from the 2019 Ethiopian Mini Demographic Health Survey

Early newborn care provided in the first 2 days of life is critical in reducing neonatal morbidity and mortality. This care can be used to monitor and evaluate the content and quality of neonatal postnatal care. This study aimed to identify determinants and geographic distributions of early newborn care uptake in Ethiopia. We used data from the 2019 Ethiopian Mini Demographic and Health Survey (EMDHS). We conducted a multilevel binary logistic regression model and geographic analysis to identify the determinants of receiving early newborn care. A total of 2105 children were included in the study. Of the included children, 39.6% (95% confidence interval (CI) 38%, 42%) received at least two components of early newborn care services in the first 2 days after birth. Greater odds of receiving early newborn care were experienced by infants to mothers with secondary or above education (adjusted odds ratio (AOR) = 1.72; 95% CI 1.44, 2.18), from households with highest wealth quantiles (AOR = 1.47; 95% CI 1.16, 1.79), with at least one antenatal care contact (AOR = 2.73; 95% CI 1.79, 4.16), with birth at health facility (AOR = 25.63; 95% CI 17.02, 38.60), and those births through cesarean section (AOR = 2.64; 95% CI 1.48, 4.71). Substantial geographic variation was observed in the uptake of early newborn care in Ethiopia. Several individual- and community-level factors were associated with newborn postnatal care. Policymakers should prioritise these areas and the enhancement of postnatal healthcare provisions for mothers with low socioeconomic status.

Factors influencing withdrawal of life-supporting treatment in cervical spinal cord injury: a large multicenter observational cohort study

BACKGROUND

Traumatic spinal cord injury (SCI) leads to profound neurologic sequelae, and the provision of life-supporting treatment serves great importance among this patient population. The decision for withdrawal of life-supporting treatment (WLST) in complete traumatic SCI is complex with the lack of guidelines and limited understanding of practice patterns. We aimed to evaluate the individual and contextual factors associated with the decision for WLST and assess between-center differences in practice patterns across North American trauma centers for patients with complete cervical SCI.

METHODS

This retrospective multicenter observational cohort study utilized data derived from the American College of Surgeons Trauma Quality Improvement Program database between 2017 and 2020. The study included adult patients (> 16 years) with complete cervical SCI. We constructed a multilevel mixed effect logistic regression model to adjust for patient, injury and hospital factors influencing WLST. Factors associated with WLST were estimated through odds ratios with 95% confidence intervals. Hospital variability was characterized using the median odds ratio. Unexplained residual variability was assessed through the proportional change in variation between models.

RESULTS

We identified 5070 patients with complete cervical SCI treated across 477 hospitals, of which 960 (18.9%) had WLST. Patient-level factors associated with significantly increased likelihood of WLST were advanced age, male sex, white race, prior dementia, low presenting Glasgow Coma Scale score, having a pre-hospital cardiac arrest, SCI level of C3 or above, and concurrent severe injury to the head or thorax. Patient-level factors associated with significantly decreased likelihood of WLST included being racially Black or Asian. There was significant variability across hospitals in the likelihood for WLST while accounting for case-mix, hospital size, and teaching status (MOR 1.51 95% CI 1.22-1.75).

CONCLUSIONS

A notable proportion of patients with complete cervical SCI undergo WLST during their in-hospital admission. We have highlighted several factors associated with this decision and identified considerable variability between hospitals. Further work to standardize WLST guidelines may improve equity of care provided to this patient population.

Spatial variations and determinants of knowledge of ovulatory period among young women in Ethiopia: a spatial and multilevel analysis using 2016 EDHS

BACKGROUND

Knowledge of the ovulatory period enables women in avoiding and engaging in sexual intercourse either to avoid and to have pregnancy as desired. It has been reported that young people have less knowledge of the ovulatory period. There is limited evidence about the spatial variability of knowledge of the ovulatory period among young women in Ethiopia. Hence, this study aimed to assess the spatial variation and factors sociated with knowledge of the ovulatory period among youths in Ethiopia for providing geographically targeted interventions.

METHOD

A secondary data analysis was carried out using the 2016 Ethiopian Demographic and Health Surveys with a total weighted sample of 6143 youths. Multilevel logistic regression analysis was utilized to identify factors influencing knowledge of the ovulatory period. ArcGIS version 10.7 software and Kuldorff's SaTScan version 9.6 was used for the spatial analysis.

RESULTS

Being older youth [AOR = 1.98; 1.46, 2.70], youths having primary education [AOR = 1.70; 1.23, 2.35], youths having secondary & higher education [AOR = 2.30; 1.41, 3.74], youths whose husbands have primary education [AOR = 1.39; 1.02, 1.91], and youths who use contraception [AOR = 1.66; 1.24, 2.22] were significant predictors of knowledge of ovulatory period. Knowledge of the ovulatory period among youth had non random spatial distribution across Ethiopia, and the primary clusters of incorrect knowledge of the ovulatory period were observed in Somalia, SNNPR, Benishangul gumuz, and Gambella regions of Ethiopia.

CONCLUSION

There was a non-random spatial pattern in the distribution of knowledge of the ovulation period among young women in Ethiopia. Age of youth, educational status, education of husband, and contraceptive use were significant predictors of knowledge of the ovulatory period among young women in Ethiopia. Hence, interventions should prioritize at-risk youths residing in regions with limited knowledge of the ovulatory period to enhance their awareness of the fertility window.

On the Common but Problematic Specification of Conflated Random Slopes in Multilevel Models

For multilevel models (MLMs) with fixed slopes, it has been widely recognized that a level-1 variable can have distinct between-cluster and within-cluster fixed effects, and that failing to disaggregate these effects yields a conflated, uninterpretable fixed effect. For MLMs with random slopes, however, we clarify that two different types of slope conflation can occur: that of the fixed component (termed fixed conflation) and that of the random component (termed random conflation). The latter is rarely recognized and not well understood. Here we explain that a model commonly used to disaggregate the fixed component-the contextual effect model with random slopes-troublingly still yields a conflated random component. Negative consequences of such random conflation have not been demonstrated. Here we show that they include erroneous interpretation and inferences about the substantively important extent of between-cluster differences in slopes, including either underestimating or overestimating such slope heterogeneity. Furthermore, we show that this random conflation can yield inappropriate standard errors for fixed effects. To aid researchers in practice, we delineate which types of random slope specifications yield an unconflated random component. We demonstrate the advantages of these unconflated models in terms of estimating and testing random slope variance (i.e., improved power, Type I error, and bias) and in terms of standard error estimation for fixed effects (i.e., more accurate standard errors), and make recommendations for which specifications to use for particular research purposes.

Socio-ecologic Correlates of HIV/AIDS-Related Sexual Risk Behavior of African American Emerging Adults

There is growing evidence showing that patterns of individual sexual risk behaviors are insufficient in explaining the disproportionate HIV/AIDS burden borne by African Americans. Instead, dynamic features of social, economic, political, and geographic contexts play a more determining role. However, not enough studies have examined the impact of multi-level factors including neighborhood-level influences on HIV/AIDS sexual risk among African American emerging adults using a socio-ecologic perspective. Anchored on the socio-ecologic framework, this study examines the collective role of relevant socio-ecologic determinants of sexual risk-taking among African American emerging adults. Results from both bivariate and multivariate analyses revealed that individual and neighborhood-level variables were significantly associated with sexual risk in our study population partially confirming the hypothesis of the study. Male gender, educational attainment, and neighborhood social disorder were the strongest predictors of sexual risk. Our findings contribute to the vast literature on sexual risk behavior patterns of young adults, and increasing evidence demonstrating the role of contextual factors as stronger predictors of sexual risk and HIV infection among at-risk youth. Our findings, however, underscore the need for further research on the pathways of HIV socio-behavioral vulnerability in this demographic group.

Spatial distribution, magnitude, and predictors of high fertility status among reproductive age women in Ethiopia: Further analysis of 2016 Ethiopia Demographic and Health Survey

BACKGROUND

Women's health and welfare, as well as the survival of their children, are adversely affected by high fertility rates in developing countries. The fertility rate in Ethiopia has been high for a long time, with some pockets still showing poor improvement. Thus, the current study is aimed to assess the spatial distribution and its predictors of high fertility status in Ethiopia.

METHODS

Secondary data analysis was used using the 2016 Ethiopian Demographic and Health Survey (EDHS). The Bernoulli model was used by applying Kulldorff methods using the SaTScan software to analyze the purely spatial clusters of high fertility status. ArcGIS version 10.8 was used to visualize the distribution of high fertility status across the country. Mixed-effect logistic regression analysis was also used to identify the predictors of high fertility.

RESULT

High fertility among reproductive-age women had spatial variation across the country. In this study, a higher proportion of fertility occurred in Somali region, Southeastern part of Oromia region, and Northeastern part of SNNPR. About 45.33% (confidence interval: (44.32, 46.33) of reproductive-age women had high fertility. Education; no formal (aOR: 13.12, 95% CI: 9.27, 18.58) and primary (aOR: 5.51, 95% CI: 3.88, 7.79), religion; Muslim (aOR: 1.52, 95% CI: 1.28, 1.81) and Protestant (aOR: 1.48, 95% CI: 1.23, 1.78), age at first birth (aOR: 2.94, 95% CI: 2.61, 3.31), age at first sex (aOR: 1.70, 95% CI: 1.49, 1.93), rural resident (aOR: 3.76, 95% CI: 2.85, 4.94) were predictors of high fertility in Ethiopia.

CONCLUSION

The spatial pattern of high fertility status in Ethiopia is clustered. Hotspot areas of a problem were located in Somali, Central Afar, Northeastern part of SNNPR, and Southeastern part of Oromia region. Therefore, designing a hotspot area-based interventional plan could help to reduce high fertility. Moreover, much is needed to be done among rural residents, reducing early sexual initiations and early age at first birth, and enhancing women's education. All the concerned bodies including the kebele administration, religious leaders, and community leaders should be in a position to ensure the practicability of the legal age of marriage.

Unimproved source of drinking water and its associated factors: a spatial and multilevel analysis of Ethiopian demographic and health survey

BACKGROUND

Drinking water quality has been a major public health concern in lower and middle income countries where access to improved water supplies is limited. Ethiopia is thought to have one of the worst drinking water infrastructures in the world. This study aimed to assess the spatial variation and determinants of using unimproved sources of drinking water in Ethiopia using recent nationally representative data.

METHODS

A population-based cross-sectional study was employed with the recent EDHS data of 2019. A total of 8663 households were sampled using a stratified two-stage cluster sampling method. Kuldorff's SaTScan version 9.6 software was used to generate spatial scan statistics. ArcGIS version 10.7 software was used to visualize the spatial patterns of unimproved drinking water sources. A multilevel multivariable mixed-effect logistic regression was used to identify factors associated with the use of an unimproved drinking water source. In the multivariable multilevel analysis, those variables with a p-value < 0.05 were considered to be significant predictors of using an unimproved source of drinking water.

RESULT

Around 31% (95% CI: 30%, 32%) of the population in Ethiopia uses unimproved sources of drinking water with significant spatial variation across the country. Households aged 41-60 [AOR = 0.69; 95%CI; 0.53, 0.89] as compared to the households aged 10-25, households having middle wealth index [AOR = 0.48; 95%CI; 0.40, 0.59], and households having a rich wealth index [AOR = 0.31; 95%CI; 0.25, 0.39] as compared to the poor households, living in high community literacy level [AOR = 0.36; 95%CI; 0.16, 0.80], living in high-level community poverty [AOR = 3.03; 95%CI; 1.32, 6.98], rural residence [AOR = 7.88; 95%CI; 2.74, 22.67] were significant predictors of use of unimproved source of drinking water. Hot spot areas of use of unimproved drinking water sources were observed in Amhara, Afar, and Somalia regions and some parts of SNNPR and Oromia regions in Ethiopia. The primary clusters were found in Ethiopia's Somalia and Oromia regions.

CONCLUSION

Around one third of the Ethiopian population utilizes unimproved source of drinking water and it was distributed non-randomly across regions of Ethiopia. The age of the household head, wealth status of the household, residence, community poverty level, and community literacy level were found to be significantly associated with utilizing unimproved drinking water source. State authorities, non-governmental organizations and local health administrators should work to improve the quality of drinking water particularly for high risk groups such as communities living in high poverty and low literacy, poor households, rural residents, and hot spot areas to decrease the adverse consequences of using unimproved drinking water source.

Magnitude of unintended pregnancy and its determinants among childbearing age women in low and middle-income countries: evidence from 61 low and middle income countries

Background

Unintended pregnancy is one of the most serious health issues in low and Middle-Income Countries (LMICs), posing significant health, economic, and psychosocial costs to individuals and communities. However, there is limited evidence on the prevalence of unintended pregnancies and their determinants in LMICs. Hence, this study aimed to assess the prevalence of unintended pregnancy and its associated factors among childbearing-age women in LMICs.

Method

Data for the study were drawn from a recent 61 Demographic and Health Surveys (DHS) conducted in LMICs. A total sample of 187,347 mothers who gave birth in the five years preceding the survey was included. STATA version 16 was used to clean and analyze the data. Multilevel multivariable logistic regression was employed to identify individual and community-level factors of unintended pregnancy in LMICs. In the multivariable analysis, an adjusted odds ratio with a 95% confidence level was reported to indicate statistical association.

Results

The pooled magnitude of unintended pregnancy in LMICs was 26.46%% (95% CI: 25.30%, 27.62%), ranging from 19.25%% in Egypt to 61.71% in Bolivia. Working status (AOR =  1.03; 95% CI: 1.01, 1.06), having a husband with no education (AOR = 1.07; 95% CI: 1.00, 1.15), and primary education (AOR =  1.05; 95% CI: 1.01, 1.11), women from male-headed households (AOR = 1.04; 95% CI: 1.00, 1.08), media exposure (AOR = 1.05; 95% CI: 1.02, 1.08), unmet need for contraception (AOR = 1.05; 95% CI: 1.02, 1.08), distance from a health facility (AOR = 1.03; 95% CI: 1.00, 1.06) were significantly associated with unintended pregnancy.

Conclusion

Unintended pregnancy rates remain high in LMICs. Women whose husband has no education and primary education, women with media exposure, working status, women who live in a household headed by male, women with unmet need for contraception, and women with a big problem of distance to health facilities were variables that were significant predictors of unintended pregnancy. When attempting to minimize unintended pregnancy in LMICs, these factors need to be considered. Furthermore, most of these attempts should be driven by government entities in low and middle-income countries.

Married women decision making autonomy on health care utilization in high fertility sub-Saharan African countries: A multilevel analysis of recent Demographic and Health Survey

BACKGROUND

Women's decision-making autonomy has a potential impact on the scale-up of health care utilization. In high fertility countries, evidence regarding women's decision-making autonomy on their health care utilization and its associated factors is limited and inconclusive. Hence, it is important to investigate women decision-making autonomy on their health care utilization and associated factors in high fertility countries in sub-Saharan Africa.

METHODS

The data source for this study was obtained from recent Demographic and Health Surveys that were comprised of a weighted sample of 178875 reproductive age women. A multilevel mixed-effect binary logistic regression model was fitted. The odds ratios, along with the 95% confidence interval were generated to identify individual and community-level factors associated with women's autonomy in health care decision-making. A p-value less than 0.05 was declared as statistical significance.

RESULTS

In this study, 42% (95% CI: 41.7, 42.3) of women were able to exercise their reproductive autonomy. The highest (74.8%) and the lowest (19.74%) magnitude of women autonomy was found in Angola and Mali, respectively. In multilevel analysis; age of women 25-34 years, 35 and above (AOR = 1.34, 95% CI: 1.29, 1.39), and (AOR = 1.78, 95% CI: 1.75, 1.90), women's primary and secondary educational level (AOR = 1.25, 95% CI: 1.20, 1.31), and (AOR = 1.44, 95% CI: 1.32, 1.54), husband primary and secondary educational level (AOR = 1.24, 95% CI: 1.18, 1.29), and (AOR = 1.21, 95% CI: 1.15, 1.27), women who had work (AOR = 1.67, 95% CI: 1.59, 1.74) female household heads (AOR = 1.44, 95% CI: 1.37, 1.51), media exposure (AOR = 1.04, 95% CI: 1.09, 1.18), health insurance coverage (AOR = 1.26, 95% CI: 1.17, 1.36), urban residence (AOR = 1.14, 95% CI: 1.09, 1.19), community education (AOR = 2.43, 95% CI: 2.07, 2.85) and low community poverty level (AOR = 1.27, 95% CI: 1.08, 1.49) were predictor variables.

CONCLUSION AND RECOMMENDATION

Although every woman has the right to make her own health care decisions, this study showed that almost 58% of them had no role in making decisions about their health care utilization. Thus, each country Government should support women's decision making autonomy regarding their healthcare utilization through mass media and extensive behavioral education.

Minimum Dietary Diversity Among Children Aged 6-59 Months in East Africa Countries: A Multilevel Analysis

Objective: To find out the determinants of minimum dietary diversity (MDD) among under-five children in East Africa based on the 2017 revised indicator. Methods: Secondary data from the demographic and health survey (DHS) of eight countries in East Africa were combined. A total of 27,223 weighted samples of children aged 6-59 months were included. Multi-level logistic regression analysis was employed to identify the determinants of dietary diversity. Results: The magnitude of adequate MDD in East Africa was found to be 10.47% with 95% CI (10.12-10.84) with the lowest and highest magnitude in Ethiopia and Rwanda respectively. Having a mother in the age group of 35-49, having a mother with higher educational attainment, and having a post-natal check-up within 2 months were significant factors in determining adequate MDD. Conclusion: The magnitude of adequate MDD intake among children aged 6-59 months in East Africa is relatively low. Therefore, strengthening interventions focused on improving the economic status of households, the educational status of mothers, and diversified food consumption of children aged 6-59 months should get priority to improve the recommended feeding practice of children.

Spatial distribution and associated factors of severe malnutrition among under-five children in Ethiopia: further analysis of 2019 mini EDHS

BACKGROUND

Malnutrition is both a significant cause and a result of poverty and deprivation. In developing nations, child malnutrition is still the main public health issue. Severe malnutrition affects every system of the body and leads to medical instability. The assessment of the burden of severe malnutrition is important for ready-to-use therapeutic foods and preparing therapy for these conditions. Therefore, this study aimed to assess the prevalence and spatial distribution of severe malnutrition and the factors associated with it.

METHODS

Data from the 2019 Mini-EDHS (Ethiopian Demographic and Health Surveys) with stratified sampling techniques were used. The data were weighted using sample weight to restore the data's representativeness and provide accurate statistical estimations. A total of 5,006 weighted samples of children under the age of five were used to analyze the study. A multilevel binary logistic regression model was built, and a cutoff P-value of 0.05 was used. The wag staff normalized concentration index and curve as well as spatial analysis were used.

RESULTS

The prevalence of severe malnutrition practice among under five years children in Ethiopia was 14.89% (95%CI: 13.93%, 15.91%), and ranges from 4.58% in Addis Ababa to 25.81% in the Afar region. Women with secondary and above education status as compared to uneducated [AOR = 0.17; 95%CI;[0.06, 0.48], high community women's education as compared to low [AOR = 0.54; 95%CI; 0.36, 0.78], women from richest household as compared to poorest [AOR = 0.63; 95%CI; 0.26, 0.94] and living in Oromia region as compared to Tigray [AOR = 0.33: 95%CI; 0.15, 0.74] were preventive factors. Whereas children 24-59 months of age as compared to under six months [AOR = 1.62; 95%CI; 1.50, 1.75], and being multiple births as compared to single [AOR = 5.34; 95%CI; 1.36,2 1.01] have significant risk factors for severe malnutrition. There was a pro-poor distribution of severe malnutrition among under-five children in Ethiopia with a concentration index of -0.23 [95%CI: -0.27, -0.19]. Severe malnutrition has significant spatial variation over regions in the country where the entire Afar, Eastern Amhara, Southern, and eastern Tigray regions were severely affected (RR = 1.72, P-value < 0.01).

CONCLUSION AND RECOMMENDATIONS

The prevalence of severe malnutrition in Ethiopia is relatively high as compared to other studies and most of them were severe chronic malnutrition. Having an educated mother/caregiver, and living in a cluster with high community women's education were preventive factors for severe malnutrition in children. Whereas having an unmarried mother/caregiver, old age of the child, plurality of birth, and having double children in the family have a positive association with it. Moreover, it was disproportionately concentrated in poor households (pro-poor distribution). The spatial distribution of childhood severe malnutrition was not random. Regions like Tigray, Afar, Eastern parts of Amhara, and Somalia regions should be considered priority areas for nutritional interventions for reducing severe malnutrition. Equity-focused nutritional interventions could be needed to curb the wealth-related inequalities of childhood severe malnutrition.

Multilevel analysis of intimate partner violence and associated factors among pregnant women in East Africa: Evidence from recent (2012-2018) demographic and health surveys

BACKGROUND

Globally, intimate partner violence (IPV) during pregnancy is the most common and major public health problem. It has a negative effect on the lives of both mother and fetus. Despite its prominence, many countries in East Africa have paid little attention to this issue. This study assessed the prevalence and associated factors of intimate partner violence among pregnant women in East African countries.

METHODS

The study adopted a secondary method data analysis that utilized recent Demographic and Health Surveys of 10 countries in East Africa between 2012 and 2018. A total of 23,521 women who gave birth in the 5 years preceding the survey were included. A multilevel mixed-effect logistic regression model was fitted to identify factors associated with IPV. Variables with a p-value < 0.05 were declared as significant factors associated with IPV.

RESULTS

The overall prevalence of IPV in East Africa was 37.14 (95% CI 36.53, 37.76). Women with age 25-34 (AOR = 1.20;95%CI; 1.06, 1.36), 35-39 (AOR = 1.40;95%CI; 1.24, 1.58), and 40-49 (AOR = 1.66;95%CI; 1.43, 1.95), women with no education (AOR = 1.27;95%CI; 1.16, 1.39), women with no occupation (AOR = 1.36; 95%CI; 1.27, 1.47), women from households with the poorest (AOR = 1.51; 95%CI: 1.33, 1.71), poorer (AOR = 1.40;95% CI:1.24, 1.58), middle (AOR = 1.32;95%CI:1.17, 1.48), and richer (AOR = 1.26;95%CI: 1.13, 1.40), husband drinks alcohol (AOR = 2.54; 95%CI 2.39, 2.71), ≥ 5 number of living children (AOR = 1.28; 95%CI: 1.31, 2.57) and rural areas (AOR = 1.14; 95%CI: 1.03, 1.25) were significantly associated with IPV.

CONCLUSION

More than one-third of pregnant women experienced intimate partner violence in East Africa. Promoting the educational status of women, the economic capacity of women, and the healthy behavior of the husband by reducing alcohol consumption, with particular attention to rural women and violence during pregnancy, is vital to reduce the prevalence of IPV.

The magnitude and determinants of delayed initiation of antenatal care among pregnant women in Gambia; evidence from Gambia demographic and health survey data

BACKGROUND

Despite gains throughout the 20th century, maternal health remains a major public health concern. Despite global efforts to enhance access to maternal and child healthcare services, women in low- and middle-income countries still have a high risk of dying during pregnancy and after birth. This study aimed to determine the magnitude and determinants of late antenatal care initiation among reproductive age women in Gambia.

METHOD

Secondary data analysis was conducted using the 2019-20 Gambian demographic and health survey data. All reproductive age women who gave birth in the five years preceding the survey and who had an antenatal care visit for the last child were included in this study. The total weighted sample size analyzed was 5310. Due to the hierarchical nature of demographic and health survey data, a multi-level logistic regression model was performed to identify the individual and community level factors associated with delayed first antenatal care initiation.

RESULT

In this study, the prevalence of delayed initiation of initial antenatal care was 56% ranged from 56 to 59%. Women with age 25-34 [Adjusted Odds Ratio = 0.77; 95% CI 0.67-0.89], 35-49 [Adjusted Odds Ratio = 0.77; 95% CI 0.65-0.90] and women reside in urban area [Adjusted Odds Ratio = 0.59; 95% CI 0.47-0.75] respectively had lower odds of delayed first antenatal care initiation. While women with unplanned pregnancy [Adjusted Odds Ratio = 1.60; 95% CI 1.37-1.84], no health insurance [Adjusted Odds Ratio = 1.78; 95% CI 1.14-2.76] and previous history of cesarean delivery [Adjusted Odds Ratio = 1.50; 95% CI 1.10-2.07] had higher odds of delayed initiation of antenatal care.

CONCLUSION

Despite the established advantages of early antenatal care initiation, this study revealed that late antenatal care initiation is still common in Gambia. Unplanned pregnancy, residence, health insurance, history of caesarian delivery, and age were significantly associated with delayed first antenatal care presentation. Therefore, focusing extra attention on these high-risk individuals could reduce delayed first antenatal care visit and this further minimizes maternal and fetal health concerns by recognizing and acting early.

Prevalence and associated factors of early sexual initiation among youth female in sub-Saharan Africa: a multilevel analysis of recent demographic and health surveys

Background

Early sexual initiation is a major public health concern globally, specifically in Sub-Saharan African (SSA) countries where reproductive health care services are limited. It is strongly related to increased risk of HIV/AIDS, sexually transmitted diseases, unwanted pregnancy, adverse birth outcomes, and psychosocial problems. However, there is limited evidence on the prevalence and associated factors of early sexual initiation among youth females in SSA.

Methods

A secondary data analysis was employed based on the recent DHSs of sub-Saharan African countries. A total weighted sample of 184,942 youth females was considered for analysis. Given the hierarchical nature of DHS data, a multilevel binary logistic regression model was fitted. The Intra-class Correlation Coefficient (ICC), Median Odds Ratio (MOR), and Likelihood Ratio (LR) test were used to assess the presence of clustering. Four nested models were fitted and the model with the lowest deviance (-2LLR0 was selected as the best-fitted model. Variables with p-value < 0.2 in the bivariable multilevel binary logistic regression analysis were considered for the multivariable analysis. In the multivariable multilevel binary logistic regression analysis, the Adjusted Odds Ratio (AOR) with the 95% Confidence Interval (CI) was reported to declare the strength and statistical significance of the association.

Results

The prevalence of early sexual initiation among youth females in sub-Saharan Africa was 46.39% [95%CI: 41.23%, 51.5%] ranging from 16.66% in Rwanda to 71.70% in Liberia. In the final model, having primary level education [AOR = 0.82, 95% CI; 0.79, 0.85], and [AOR = 0.50, 95%CI; 0.48, 0.52], being rural [AOR = 1.05, 95%CI: 1.03, 1.07], having media exposure [AOR = 0.91, 95%CI: 0.89, 0.94], and belonged to a community with high media exposure [AOR = 0.92, 95%CI: 0.89,0.96] were found significantly associated with early sexual initiation.

Conclusion

The prevalence of early sexual initiation among youth females in SSA was high. Educational status, wealth index, residence, media exposure, and community media exposure have a significant association with early sexual initiation. These findings highlight those policymakers and other stakeholders had better give prior attention to empowering women, enhancing household wealth status, and media exposure to increase early sexual in the region.

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.

Determinants of good vitamin A consumption in the 12 East Africa Countries using recent Demographic and health survey

BACKGROUND

Vitamin A one of the important micronutrients that it cannot be made in the human body and must be taken from outside the body through the diet. Ensuring that vitamin A is available in any form in sufficient quantities remains a challenge, especially in regions where access to vitamin A-containing foods and healthcare interventions is limited. As a result, vitamin A deficiency (VAD) becomes a common form of micronutrient deficiency. To the best of our knowledge, there is limited evidence on determinants of good Vitamin A consumption in East African countries. Therefore, this study aimed to assess the magnitude and determinants of good vitamin A consumption in East African countries.

METHODS

A recent Demographic and Health Survey (DHS) of twelve East African countries were included to determine the magnitude and determinants of good vitamin A consumption. A total of 32,275 study participants were included in this study. A multilevel logistic regression model was used to estimate the association between the likelihood of good vitamin A-rich food consumption. Both community and individual levels were used as independent variables. Adjusted odds ratio and its 95% confidence interval were used to see the strength of the association.

RESULT

The pooled magnitude of good vitamin A consumption was 62.91% with a 95% CI of 62.3 to 63.43. The higher proportion of good vitamin A consumption 80.84% was recorded in Burundi and the smallest good vitamin A consumption 34.12% was recorded in Kenya. From the multilevel logistic regression model, women's age, marital status, maternal education, wealth index, maternal occupation, children's age in a month, media exposure, literacy rate, and parity were significantly associated with good vitamin A consumption in East Africa.

CONCLUSION

The magnitude of good vitamin A consumption in twelve East African countries is low. To increase good vitamin A consumption health education through the mass media and enhancing the economic status of women is recommended. Planners and implementers should give attention and priority to identified determinants to enhance good vitamin A consumption.

Unmet need for family planning and associated factors among adolescent girls and young women in Ethiopia: a multilevel analysis of Ethiopian Demographic and Health Survey

BACKGROUND

Unmet need for family planning among adolescent girls and young women (AGYW) is a common cause of the low contraceptive utilization in developing countries, including Ethiopia. To address problems associated with unmet for family planning among adolescent girls and young women nationally available evidences are essential. However, there is limited evidence regarding factors associated with the unmet need for family planning among adolescent girls and young women in Ethiopia. Hence, this study aims to assess the prevalence and associated factors of unmet need for family planning among adolescent girls and young women in Ethiopia.

METHODS

Our analysis was based on secondary data using the 2016 Ethiopian Demographic and Health Survey data. A total weighted sample of 1086 adolescent girls and young women was included in this study. A multi-level mixed-effect logistic regression analysis was fitted. Adjusted odds ratios with 95% confidence intervals were used to show the strength and direction of the association. Statistical significance was declared at a p-value less than 0.05.

RESULTS

The prevalence of unmet need for family planning was 28.3% (95% CI: 25.7, 31.0). Adolescent girls and young women age 15-19 years (aOR: 2.4, 95%CI: 1.3, 4.3), household wealth quantile; poor (aOR: 5.6, 95%CI: 2.8, 11.1) and middle (aOR: 2.9, 95%CI: 1.4, 6.0), had no media exposure (aOR: 2.1, 95%CI: 1.1, 4.1), and adolescent girls and young women from developing regions (aOR: 5.1, 95%CI: 1.1, 14.5) were significantly associated with unmet need for family planning.

CONCLUSIONS

Unmet need for family planning was high among adolescent girls and young women when compared to the national average and the United Nations sphere standard of unmet need for family planning. Age, wealth quantile, media exposure, and region were significantly associated with unmet need for family planning. Hence, there is the need to implement consistently effective family planning policies among AGYW living in developing regions of Ethiopia. Moreover, Public health policies and interventions that improve the existing strategies to improve media exposure of AGYW on family planning issues and increase the wealth status of households should be designed and implemented to reduce the unmet need for family planning in Ethiopia.

Short birth interval and its predictors among reproductive age women in high fertility countries in sub-Saharan Africa: a multilevel analysis of recent Demographic and Health Surveys

BACKGROUND

In developing countries, short birth interval is one of the major public health issues. It is one of the leading cause's adverse birth outcomes in the worldwide. Despite the fact that ending maternal and perinatal morbidity and mortality is one of the Sustainable Development Goals (SDG), the burden of the problem continues to be a huge concern in developing countries, including high fertility countries. Thus, this study aimed to determine the short birth interval and its predictors in ten high fertile sub-Saharan African countries.

METHODS

Data for this study was obtained from the most recent Demographic and Health Surveys (DHS). A total of weighted sample of 303,979 women of childbearing age group (15- 49) who had at least two alive consecutive children was included. A multilevel mixed-effect binary logistic regression model was fitted to identify the associated factors of short birth interval. As a final step, the Adjusted Odds Ratio (AOR) was used with a confidence interval of 95% in determining statistical significance.

RESULTS

Overall prevalence of short birth interval in high fertile sub Saharan Africa was 58.74% (52.32%, 65.17%).The factors significantly associated with the short birth interval were women's educational status; primary education (AOR = 0.88; 95% CI: 0.86,0 .91), secondary and higher (AOR = 0.10; 95% CI: 0.09, 0.11), working (AOR = 0.91; 95% CI: 0.88, 0 .93), classified as rich wealth index level (AOR = 0.90; 95% CI: 0.88, 0.93),having six and above ideal number of children (AOR = 2.25; 95% CI: 2.22, 2.30), preferred waiting time two years and above to give birth (AOR = 0.83; 95% CI: 0.76, 0.89), contraceptive non users (AOR = 3.01; 95% CI: 2.93, 3.07), community level education (AOR = 1.97; 95% CI: 1.54, 2.08), rural residency (AOR = 2.17; 95% CI: 2.13, 2.22), and country Chad (AOR = 1.37; 95% CI: 1.22, 1.54).

CONCLUSION

The prevalence of short birth interval in the top ten high fertile sub Saharan African countries is still optimally high. Therefore, the government of each country should work on the access to family planning and education in rural parts of the countries.

Epidemiology of neonatal mortality: a spatial and multilevel analysis of the 2019 mini-Ethiopian demographic and health survey data

BACKGROUND

Sub-Saharan African countries are a high-burden region of neonatal mortality and showed slow progress in its reduction. In developing countries, as long as the current trend of mortality persists, achieving a sustainable development target for neonatal mortality would be challenging. The aim of this study was to detect significant geographic areas and identify community and individual-level predictors of neonatal mortality in Ethiopia to draw attention to a policy.

METHODS

A weighted total sample of 24,136 mothers from the 2019 mini-Ethiopian demographic and health survey data were included in the analysis. Global Moran's I statistics was run to check the clustering of neonatal mortality and then kriging interpolation was done to predict the magnitude of neonatal mortality in Ethiopia. In addition, SaTScan analysis was also executed to identify hot spot clusters of neonatal mortality. Finally, a multilevel mixed-effect logistic regression model was used to identify community and individual-level predictors of early neonatal and neonatal mortality.

RESULTS

The lifetime early neonatal and neonatal mortality among mothers in Ethiopia was 5.08 (95% CI: 4.13-6.03) and 6.54 (5.55, 7.52) per 1000 births respectively. Neonatal mortality was spatially clustered in the country and the SaTScan analysis identified significant hotspot areas of neonatal mortality in the Amhara and Afar regions and some areas of the Somali and Oromia regions. Its predicted magnitude was > 8 per 1000 births in wide areas of the Amhara and Benishangul regions. A multilevel mixed-effect logistics regression analysis identified that a lower level of maternal education, being a twin neonate, and being a male neonate were predictors of both early neonatal and neonatal mortality. Whereas, the younger age of mothers predicted neonatal mortality.

CONCLUSIONS

Neonatal mortality in Ethiopia is geographically clustered and sociodemographic and obstetric factors played a significant role. Policy direction should focus on evidence-based practices like midwives-led community and facility-based continuum of care from preconception to postnatal periods to possibly reduce neonatal mortality.

Magnitude of optimal access to ANC and its predictors in Ethiopia: Multilevel mixed effect analysis of nationally representative cross-sectional survey

BACKGROUND

Optimal access to ANC, such as the first ANC visit at first trimester, four or more ANC visits, and skilled health care provider can significantly reduce maternal mortality in an inclusive way. Previous studies conducted in Ethiopia on optimal ANC are restricted to frequencies of ANC visit. Therefore, the aim of this study was to assess the magnitude of optimal ANC access as a comprehensive way and its predictors among pregnant women in Ethiopia.

METHODS

Secondary data source from a recent demographic and health survey was used for analysis. This study includes a weighted sample of 4771 pregnant women. A multilevel mixed-effect binary logistic regression analyses was done to identify both the individual and community level factors. Odds ratio along with the 95% confidence interval was generated to identify the predictors of optimal access to ANC. A p-value less than 0.05 was declared as statistical significant.

RESULTS

In Ethiopia, one in five (20%) pregnant women had optimal access to antenatal care. Regarding the factors at individual level, pregnant women aged 25-34 years [aOR = 1.58, 95% CI = 1.23-2.03] and 35-49 years [aOR = 2.04, 95% CI = 1.43-2.89], those who had educated primary [aOR = 1.67, 95% CI = 1.33-2.09], secondary and higher [aOR = 1.81, 95% CI = 1.15-2.85], Primipara [aOR = 2.45, 95% CI = 1.68-3.59] and multipara [aOR = 1.48, 95% CI = 1.11-1.98] had higher odds of accessing optimal ANC. With the community level factors, the odds of optimal access to ANC was higher among pregnant women who lived in urban area [aOR = 2.08, 95% CI = 1.33-3.27], whereas, lower odds of optimal ANC access among those pregnant women who reported distance to the health facility as a big problem [aOR = 0.78, 95% CI = 0.63-0.96].

CONCLUSION AND RECOMMENDATION

The study concludes that in Ethiopia, optimal access to ANC was low. The study identified that both individual and community level factors were predictors for optimal ANC access. Therefore, the Ethiopian government should intensify extensive education on ANC in a comprehensive way. Moreover, especial attention from the Ethiopian ministry of health for those women who reported distance as a big problem and for rural resident women is mandatory.

Individual and contextual factors associated with childhood malnutrition: a multilevel analysis of the double burden of childhood malnutrition in 27 countries

BACKGROUND

Malnutrition is a key global health challenge and a major contributor to childhood morbidity and mortality. In recent times, the contrasting coexistence of undernutrition including micronutrient deficiencies and overweight/obesity called double burden of malnutrition has been noted at individual, household or population level and/or at different times in life. The objective of this study was to examine individual, neighborhood and country level factors that are associated with the double burden of childhood malnutrition.

METHODS

We conducted multivariable multilevel logistic regression analyses on the most recent demographic and health datasets from surveys conducted between 2015 and 2020 in low- and middle-income countries. We analyzed data of 138,782 children (level 1) living in 13,788 communities (level 2) from 27 countries (level 3).

RESULTS

The results of our analysis show variation in childhood malnutrition across the 27 countries from as low as 6.5% in Burundi to as high as 29.5% in Timor Leste. After adjusting for all level factors, we found that those who were wasted/overweight tended to have had an episode of diarrhea or fever in the last two weeks preceding the survey, were part of a multiple birth, were being breastfed at the time of the survey and born to mothers with more than one under 5-child resident in neighborhoods with high illiteracy and unemployment rates. The intra-neighbourhood and intra-country correlation coefficients were estimated using the intercept component variance; 44.3% and 21.0% of variance in odds of double burden of childhood malnutrition are consequent upon neighborhood and country level factors respectively.

CONCLUSIONS

Evidence of geographical clustering in childhood malnutrition at community and country levels was found in our study with variability due to neighborhood level factors twice that of country level factors. Therefore, strategies in tackling the double burden of malnutrition must consider these shared drivers, contextual barriers and geographical clustering effects.

Hospital-level variation in rates of postpartum hemorrhage in California

BACKGROUND

To examine the extent of hospital-level variation in risk-adjusted rates of postpartum hemorrhage (PPH).

STUDY DESIGN AND METHODS

We performed a cross-sectional study examining live births in 257 California hospitals between 2011 and 2015 using linked birth certificate and maternal discharge data. PPH was measured using International Classification of Diseases Codes version 9. Mixed-effects logistic regression models were used to examine the presence and extent of hospital-level variation in PPH before and after adjustment for patient-level risk factors and select hospital characteristics (teaching status and annual delivery volume). Risk-adjusted rates of PPH were estimated for each hospital. The extent of hospital variation was evaluated using the median odds ratio (MOR) and intraclass correlation coefficient (ICC).

RESULTS

Our study cohort comprised 1,904,479 women who had a live birth delivery hospitalization at 247 hospitals. The median, lowest, and highest hospital-specific rates of PPH were 3.48%, 0.54%, and 12.0%, respectively. Similar rates were observed after adjustment for patient and hospital factors (3.44%, 0.60%, and 11.48%). After adjustment, the proportion of the total variation in PPH rates attributable to the hospital was low, with a MOR of 2.02 (95% confidence interval [CI]: 1.89-2.15) and ICC of 14.3% (95% CI: 11.9%-16.3%).

DISCUSSION

Wide variability exists in the rate of PPH across hospitals in California, not attributable to patient factors, hospital teaching status, and hospital annual delivery volume. Determining whether differences in hospital quality of care explain the unaccounted-for variation in hospital-level PPH rates should be a public health priority.

Intervening at the Right Level to Improve Student Health: An Analysis of Levels of Influence on Sexual Behavior of High School Students

This study adopts a socio-ecological framework and examines school- and district-level influences on sexual behaviors among high school students from 16 school districts that were federally funded to conduct a school-based, multilevel sexual health program. We drew cross-sectional data from the 2015 and 2017 Youth Risk Behavior Survey from funded school districts containing 648 schools and 101,728 students. We used multilevel modeling to determine the percentage of variance in sexual health outcomes explained at school and district levels, overall and by race/ethnicity and biological sex. We found protective behaviors such as using hormonal birth control had considerable district-level variance (10.1%) while sexual risk behaviors such as having multiple sex partners showed considerable school-level variance (12.7%). We also found significant subgroup heterogeneity in the variance. Findings indicate school-based interventions should address all levels of influences of the educational system to effectively improve a myriad of student sexual health outcomes.

Teacher Perceptions of Implementation Climate Related to Feasibility of Implementing Schoolwide Positive Behavior Supports and Interventions

For Schoolwide Positive Behavior Interventions and Supports (SWPBIS) to be effective, educators must use the practices as intended. Whether a teacher uses a practice as intended can depend, in part, on how feasible the practice is perceived to be. Identifying malleable factors associated with teachers’ perceptions of SWPBIS feasibility can help schools identify targeted supports to improve feasibility. Implementation climate, or the shared perception among implementers that their school supports implementation efforts, is known to promote high quality implementation. However, little is known about how individuals’ perceptions of their school’s implementation climate may influence their perceptions of feasibility. The lack of empirical evidence points to a need to explore whether educators’ shared and individual perceptions of implementation climate influence feasibility of implementing SWPBIS. Therefore, this study examines the link between teachers’ individual and shared perceptions of implementation climate related to the feasibility of implementing SWPBIS in a sample of 348 K-5 general education teachers across 39 elementary schools in the pacific northwestern United States. Results indicate that teachers who experience their schools’ implementation climate as positive are more likely to report SWPBIS as feasible, controlling for teachers’ shared perceptions of implementation climate. Implications for schools aiming to improve their implementation of SWPBIS, including the development of individualized implementation supports (e.g., tailoring implementation strategies to support each and every teacher), are discussed.

Determinants of Inadequate Minimum Dietary Diversity Intake Among Children Aged 6-23 Months in Sub-Saharan Africa: Pooled Prevalence and Multilevel Analysis of Demographic and Health Survey in 33 Sub-Saharan African Countries

Background

Inappropriate feeding practices result in significant threats to child health by impaired cognitive development, compromised educational achievement, and low economic productivity, which becomes difficult to reverse later in life. There is minimal evidence that shows the burden and determining factors of inadequate dietary intake among children aged under 2 years in sub-Saharan African (SSA) countries. Therefore, this study aimed to assess the pooled magnitude, wealth-related inequalities, and other determinants of inadequate minimum dietary diversity (MDD) intake among children aged 6-23 months in the SSA countries using the recent 2010-2020 DHS data.

Methods

A total of 77,887 weighted samples from Demographic and Health Survey datasets of the SSA countries were used for this study. The Microsoft Excel and STATA version 16 software were used to clean, extract, and analyze the data. A multilevel binary logistic regression model was fitted. The concentration index and curve were applied to examine wealth-related inequalities in the outcomes. P-value < 0.05 with 95% CI was taken to declare statistical significance.

Results

The pooled magnitude of inadequate MDD intake among children aged 6-23 months in SSA was 76.53% (95% CI: 73.37, 79.70), ranging from 50.5% in South Africa to 94.40% in Burkina Faso. Individual-level factors such as women having secondary and above education (AOR = 0.66; 95% CI; 0.62, 0.70), being employed (AOR = 0.76; 95% CI; 0.72, 0.79), having household media exposure (AOR = 0.69; 95% CI; 0.66, 0.72), richest wealth (AOR = 0.46; 95% CI; 0.43, 0.50), having health institution delivery (AOR = 0.87;95% CI; 0.83, 0.91), and community-level factor such as living in upper middle-income country (AOR = 0.42; 95% CI; 0.38, 0.46) had a significant protective association, whereas rural residence (AOR = 1.29; 95% CI; 1.23, 1.36) has a significant positive association with inadequate MDD intake among children aged 6-23 months. Inadequate MDD intake among children aged 6-23 months in SSA was disproportionately concentrated on the poor households (pro-poor) (C = -0.24; 95% CI: -0.22, -0.0.26).

Conclusion and Recommendations

There is a high magnitude of inadequate minimum dietary diversity intake among children aged 6-23 months in SSA. Variables such as secondary and above maternal education, having an employed mother, having exposure to media, richest wealth, having health institution delivery, and living in the upper middle-income country have a significant negative association, whereas living in rural residence has a significant positive association with inadequate MDD intake. These findings highlight that to increase the MDD intake in the region, policy makers and other stakeholders need to give prior attention to enhancing household wealth status, empowering women, and media exposure.

Spatiotemporal distribution and determinants of open defecation among households in Ethiopia: A Mixed effect and spatial analysis

Background

Open defecation is the disposal of human faeces in the fields, forests, bushes, and open bodies of water. It is practiced more in sub-Saharan African countries and is considered a sign of underdevelopment. Open defecation facilitates the transmission of pathogens that cause diarrheal diseases which is the second leading contributor to the global burden of disease. In Ethiopia, it kills half a million under-five children annually. Even though open defecation practice is a major cause of childhood mortality and morbidity in Ethiopia, there is minimal evidence on the trend, spatiotemporal distribution, wealth-related inequalities, and other determinates of open defecation practice.

Objectives

Therefore, this study aimed to investigate the trend, spatiotemporal distribution, and determinants of open defecation among households in Ethiopia.

Methods

Cross-sectionally collected secondary data analysis was conducted based on 2016 Ethiopian Demographic and Health Survey (EDHS). A total weighted sample of 16,554 households was included. We assessed the 16 years (2000–2016) trend of open defecation with 95% confidence intervals. Data were weighted, recoded, cleaned, and analyzed using STATA version 14.2 software. A mixed-effect analysis was employed to identify factors contributing to open defecation practice in Ethiopia. In the final multivariable analysis, the associations between dependent and independent variables were presented using adjusted odds ratios and 95% confidence intervals with a p-value of <0.05. The concentration index was used to assess wealth-related inequalities, while spatial analysis was used to explore the spatial distribution and significant windows of open defecation practice.

Results

The trend of open defecation practice in Ethiopia was significantly decreased from 81.96% (95% CI: 81.08, 82.8) in 2000 EDHS, to 32.23% (95% CI: 31.16, 33.31) in 2016 EDHS. Individual-level factors such as; age, educational attainment, marital status, media exposure, wealth status, and source of drinking water, as well as community-level factors such as residence, region, community-level poverty, and community level media usage, had a significant association. Open defecation practice was significantly and disproportionately concentrated on the poor households [C = -0.669; 95% CI: -0.716, -0.622]. A non-random open defecation practice was observed in Ethiopia. Among the 11 regions, primary clusters were identified in only 3 regions (Afar, Somali, and Eastern Amhara)

Conclusion

Open defecation practice remains a public health problem irrespective of the significant decrease seen in Ethiopia for the past 16 years. Individual and community-level factors had a significant association with this problem. Since it is a leading cause of under-five children mortality and morbidity, the Ethiopian ministry of health should plan and work on basic sanitation programs that focus on the poorest communities, rural societies, and small peripheral regions. These programs should include regional planning for sanitation, and translation of materials into local languages to prevent under-five mortality and morbidity due to diarrheal diseases caused by open defecation.

Multilevel Understanding of the Impact of Individual- and School-Level Determinants on Lipid Profiles in Adolescents: The Cross-Level Interaction of Food Environment and Body Mass Index

Adolescents with comparable personal risk factors may have different lipid profiles because of the school’s context. Lipid determinants in adolescents should be considered using a multilevel perspective. This multilevel study investigated the effects of individual-level and school-level factors on lipid profiles in adolescents and evaluated the cross-level influence of lipid determinants. A representative adolescent cohort (n = 2727) was randomly selected from 36 schools in three diverse economic areas in Taiwan and assessed for their personal dietary patterns, physical parameters, and lipid profiles. For individual-level factors, both low physical activity and high body mass index (BMI) were associated with elevated triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), and total cholesterol (TC) levels, and a sugar-sweetened beverage intake of >500 mL/day was associated with increases of 5.97 and 6.12 mg/dL in LDL-C and TC levels, respectively, compared with abstinence. Regarding school-level factors, students in schools with ≥2 health promotion programs per year had a 5.27 mg/dL lower level of LDL-C than those in schools with 0−1 program, and students in schools with ≥46 food outlets within 600 m of the school had 6.90 and 13.3 mg/dL higher levels of TG and TC, respectively, than those in schools with <46 food outlets. School context modified the individual-level positive correlation between BMI and TG level (the p-value for the random-slope effect was 0.003). In conclusion, individual-level and school-level factors exert a multilevel effect on adolescent lipid profiles. The food environment near the school has a stronger cross-level impact on individual TG levels in adolescents with a high BMI than in those with a normal BMI.

Individual and community-level determinants of underweight among lactating mothers in Ethiopia: A multilevel analysis

Background

Determining the nutritional status of lactating women is important because underweight lactating mothers will have low energy levels and reduced cognitive abilities, which will affect the inadequate care of their young children. Thus, malnutrition is passed down from generation to generation, perpetuating the vicious cycle. There is scarce national data on determinants of underweight among lactating mothers in Ethiopia. Hence, this study aimed to identify individual and community-level determinants of underweight among lactating mothers in Ethiopia.

Methods

Data from the Ethiopian Demographic and Health Survey (EDHS) from 2016 were used. A total of 3848 lactating mothers were included in this study, and a multilevel, multivariable logistic regression model was fitted to identify determinants of underweight among lactating mothers.

Results

The odds of being underweight among rural lactating mothers were 65% higher (AOR = 1.65, 95% CI = 1.13, 2.41) than lactating mothers in the urban area. The odds of being underweight among lactating mothers who have toilet facilities were 33% lower (AOR = 0.67, 95%CI = 0.54, 0.83) compared with those do not have toilet facilities. Those mothers in the age group of 25–34 years and greater than 35 years had (AOR = 0.61,95%CI = 0.48, 0.79), and (AOR = 0.66, 95%CI = 0.47, 0.95) times lower chance of being underweight compared with those who had 15–24 years of age, respectively. The likelihood of being underweight among lactating mothers in high community poverty (AOR = 1.40, 95%CI = 1.08, 1.82) was higher than the lower community poverty level.

Conclusion

Underweight among lactating mothers was significantly associated with individual-level (age and toilet facilities) variables and community-level (residence and community poverty). Therefore, focusing on these identified factors could improve underweight among lactating mothers in Ethiopia.

Community and individual level determinants and spatial distribution of deworming among preschool age children in Ethiopia: spatial and multi-level analysis

Background

Soil-transmitted helminths caused millions of morbidity of preschool age children in sub-Saharan Africa with low socio-economic status and lack of clean water and sanitation. In Ethiopia, nearly half of children are affected by intestinal parasites. Despite this prevalence, deworming medication utilization among preschool age children is low. Hence, this study aimed to assess the community and individual level determinants and spatial distributions of deworming among preschool age children in Ethiopia.

Methods

Crossectional collected 2016 Ethiopian Demographic and Health Survey datasets with a total weighted 8146 children 12–59 months old were used for this study. The data were cleaned, extracted, and analyzed using STAT Version 16 software and exported to MS excel for spatial analysis. In addition, ArcGIS and SaTScan software were used to detect the geographic distribution of deworming utilization among preschool age children.

Results

The magnitude of deworming among preschool age children in Ethiopia was 13.32% (95% CI: 12.60, 14.08) and ranges from the lowest 3.34% (95% CI: 1.01, 10.45) Afar region to the highest 28.66% (95% CI:24.95, 32.69) Tigray region. In multilevel multivariable logistics regression analysis; variables such as secondary and above women education [AOR = 1.89; 95%CI; 1.32, 2.73], women who have occupation [AOR = 1.47; 95%CI; 1.23, 1.76], child with 12–23 months old [AOR = 2.00; 95%CI; 1.62, 2.46], having ANC visit [AOR = 1.68; 95%CI; 1.35, 2.08], households that have media exposure [AOR = 1.50; 95%CI; 1.22, 1.85] were significantly associated with deworming among preschool age children. Afar, Eastern Amhara, Dire Dewa, Harari, Somalia, and Eastern SNNPE regions were cold spot regions with Global Moran’s I value 0.268 (p < 0.0001) for deworming of preschool age children.

Conclusions

The prevalence of deworming among preschool age children in Ethiopia is relatively low. Individual-level factors such as; maternal education and occupation, having ANC visit, child age, household media exposure, and community-level variables such as; community media usage had a significant association with deworming among preschool age children in Ethiopia. These findings highlight that, the Ministry of Health (MOH) Ethiopia should prepare a regular campaign for deworming programs for preschool age children. Mass media promotion of deworming should be strengthened. The Ministry of Education should work to strengthen women’s education, household and community media exposure. Prior attention should be given to low deworming regions such as Afar, Somalia, Diredewa, and Harari regions.

Household Solid Fuel Use and Associated Factors in Ethiopia: A Multilevel Analysis of Data From 2016 Ethiopian Demographic and Health Survey

Solid fuels are types of fuel that comprise coal, biomass, charcoal, wood, or straw and are used for cooking, heating, lighting, boiling water, and generating revenue at home. Globally, 3 billion of the world's poorest people continue to rely on inefficient solid fuels, which produce health-damaging contaminants. In Ethiopia, more than 90% of households rely on wood as their primary source of energy. The actual and potential determinants of solid fuel use have not been fully identified, particularly at the national level in Ethiopia. Therefore, this study aimed to determine the magnitude of solid fuel use and its associated factors in Ethiopia. We used the Ethiopian Demographic and Health Survey (EDHS), which was conducted in 2016. The data was conducted using a 2-stage stratified cluster sampling approach. A total of 16 650 weighted samples were taken. Multilevel logistic regression models were fitted to identify factors associated with solid fuel use, and a cluster-level random intercept was introduced in the mixed model. An adjusted odds ratio with a 95% confidence level was reported to show the strength of the association and its significance. The goodness of fit of the model was checked using proportional change deviance (PCV). The magnitude of solid fuel use among households in Ethiopia was 94.03% (95% CI = 93.66, 94.37). Household heads completed in primary school (AOR, 3.09, 95% CI = 2.44, 3.91), outdoor cooking places (AOR, 4.13, 95% CI = 2.96, 5.76), and small peripheral regions (AOR, 14.44, 95% CI = 6.12, 34.04) were all significantly associated with solid fuel use. The intra-cluster correlation coefficient (ICC) showed that about 81% of the variations in the use of solid fuel were attributed to the difference at the 643 cluster level, but the remaining 19% were attributed to individual household factors. The PCV was 90%, which showed that the variation in solid fuel use among study households was explained by factors at both the individual and community levels. The deviation test of the fourth model had the lowest value (3528) and was chosen as the best-fitted model. Due to different influencing factors, the use of solid fuel is still high in Ethiopia. Promoting access to education and raising awareness toward solid fuel impact is very important.

Effectiveness of checklist-based box system intervention (CBBSI) versus routine care on improving utilization of antenatal care visits in Northwest Ethiopia: a cluster randomized controlled trial

Background

In Ethiopia, the proportion of mothers who attend the fourth antenatal care visit is lower than the proportion who attend the first visit. Although the reasons for these dropouts were investigated, few studies introduced interventions to promote the fourth antenatal care visit. Hence, the aim of this study was to assess the effectiveness of checklist-based box system intervention on improving fourth antenatal care visit.

Method

This study employed a double-blind, parallel-group, two-arm cluster randomized controlled trial to compare the effectiveness of checklist-based box system intervention with the usual standard of care as a control arm. Study clusters are assigned to intervention and control arm in 1:1 allocation ratio using simple randomization technique. Pregnant mothers below 16 weeks of gestation were enrolled. Open data kit was used to collect data from the baseline and end-line surveys, and STATA version 15.0 was used to analyse the data. A difference-in-difference estimator was used to compare fourth antenatal care visit between the intervention and control groups across time. Mixed effect multi-level logistic regression was used to examine the relationship between the dependent and independent variables.

Result

Data were collected from 2224 mothers who belong to 15 intervention and 15 control clusters. The difference in difference estimation resulted in a significant difference (26.1, 95%CI: 18–34%, p < 0.0001) between the intervention and control groups. Similarly, as compared to controls, the fourth antenatal care visit was found significantly higher in the intervention clusters (432 (85.2%) Vs. 297 (53.7%), p < 0.0001)/(AOR:5.69, 95% CI:4.14–7.82). Mothers who were knowledgeable about the services given during antenatal care visits (AOR: 2.31, 95% CI:1.65–3.24) and mothers who had a high level of social support (AOR:1.47, 95% CI: 1.06–2.04) were more likely to attend the fourth antenatal care visit.

Conclusion

Implementation of checklist-based box system intervention resulted in a statistically significant effect in attendance of fourth antenatal care visit. Community-level variables were found to be more important in explaining variability in the fourth antenatal care visit. It is recommended that the intervention be implemented on a larger scale.

Trial registration

ClinicalTrials.gov, Retrospectively registered on 26/03/2019, with trial registration number-NCT03891030.

Minimum acceptable diet intake and its associated factors among children age at 6-23 months in sub-Saharan Africa: a multilevel analysis of the sub-Saharan Africa demographic and health survey

Background

Only one in five children aged below 24 months in the low-income countries feed the minimum recommended diet, and significantly varied across socio-economic classes. Though sub-saharan Africa (SSA) shares the huge burden of children under nutrition, as to our search of literature there is limited evidence on the pooled magnitude and factors associated with minimum acceptable diet (MAD) intake among children aged 6 to 23 months in the region. This study aimed to assess the pooled magnitude and associated factors of MAD intake among children aged 6–23 months in SSA using recent 2010–2020 DHS data.

Methods

Demographic and Health Survey datasets of SSA countries were used for this study with a total of 78,542 weighted samples. The data were cleaned using MS excel and extracted and analyzed using STATA V.16 software. A multilevel binary logistic regression model was fitted. The adjusted odds ratio (AOR) with P-value < 0.05 was taken to declare statistical significance.

Results

The pooled magnitude of MAD intake among children aged 6–23 months in SSA was 9.89% [95%CI: 8.57, 11.21%] ranging from 3.10% in Guinea to 20.40% in Kenya. Individual level factors such as; secondary &above women educational status [AOR = 1.41; 95%CI; 1.29, 1.53], having employed women [AOR = 1.25;95%CI;1.17,1.33], having media exposure [AOR = 1.55;95%CI;1.45,1.66], richest household wealth [AOR = 1.93; 95%CI; 1.73, 2.15], plural birth [AOR = 0.68;95%CI; 0.56, 0.82] and breastfed child [AOR = 2.04; 95%CI; 1.89, 2.21], whereas, community level factor such as rural residence [AOR = 0.74; 95%CI; 0.69, 0.79] and living in upper middle income country [AOR = 1.62; [95%CI; 1.41,1.87] were significantly associated with MAD intake.

Conclusion and recommendations

Minimum acceptable diet intake in SSA is relatively low. Variables such as; secondary &above maternal education, having employed mother, exposure to media, richest wealth, breast feeding child, and upper middle income country have a significant positive association, whereas having plural birth and living in rural residence have a significant negative association with MAD intake. These findings highlight that policymakers and other stakeholders had better give prior attention to empowering women, enhance household wealth status and media exposure to increase the MAD intake in the region.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-12966-8.

Climate variability, water supply, sanitation and diarrhea among children under five in Sub-Saharan Africa: a multilevel analysis

Climate variability is expected to increase the risk of diarrhea diseases, a leading cause of child mortality and morbidity in Sub-Saharan Africa (SSA). The risk of diarrhea is more acute when populations have poor access to improved water and sanitation. This study seeks to determine individual and joint effects of climate variation, water supply and sanitation on the occurrence of diarrhea among children under five in SSA using multilevel mixed-effect Poisson regression including cross-level interaction. We merged 57 Demographic and Health Surveys (DHS) from 25 SSA countries covering the period 2000-2019 with climatic data from the DHS geolocation databases. The results of the research indicate that 77.7% of the variation in the occurrence of diarrhea in Sub-Saharan households is due to climatic differences between clusters. Also, a household residing in a cluster with a high incidence of diarrhea is 1.567 times more likely to have diarrhea cases than a household from a cluster with a low incidence. In addition, when average temperature and rainfall increase, households using unimproved sanitation or unimproved water have more cases of diarrhea. For SSA, the results of the multilevel analysis suggest the adoption at both levels; macro (national) and micro (household), of climate change adaption measures in the water sector to reduce the prevalence of diarrhea.

Open defecation practice and its determinants among households in sub-Saharan Africa: pooled prevalence and multilevel analysis of 33 sub-Saharan Africa countries demographic and health survey

BACKGROUND

Open defecation facilitates the transmission of pathogens that cause diarrheal diseases, which is the second leading contributor to the global burden of disease. It also exposed hundreds of millions of girls and women around the world to increased sexual exploitation. Open defecation is more practice in sub-Saharan African (SSA) countries and is considered an indicator of low socioeconomic status. However, there is little evidence on the pooled prevalence and factors contributing to open defecation practice among households in SSA.

OBJECTIVES

This study aimed to assess the pooled prevalence, wealth-related inequalities, and other determinants of open defecation practice among households in sub-Saharan Africa.

METHODS

Demographic and Health Survey data sets of 33 SSA countries with a total sample of 452,281 households were used for this study. Data were weighted, cleaned, and analyzed using STATA 14 software. Meta analyses were used to determine the pooled prevalence of open defecation practice among households in SSA. Multilevel analysis was employed to identify factors contributing to open defecation practice among households in SSA. Moreover, concentration index and graph were used to assess wealth-related inequalities of open defecation practice. The associations between dependent and independent variables were presented using adjusted odds ratios and 95% confidence intervals with a p value of < 0.05.

RESULTS

The pooled prevalence of open defecation practice among households in sub-Saharan African countries was 22.55% (95%CI: 17.49%, 27.61%) with I2 = 99.9% and ranges from 0.81% in Comoros to 72.75% in Niger. Individual level factors, such as age, educational attainment, media exposure, wealth status, and access to drinking water, as well community level factors, such as residence, country income status, and region in SSA, had a significant association with open defecation practice. The concentration index value [C = - 0.55; 95% CI: - 0.54, - 0.56] showed that open defecation practice was significantly disproportionately concentrated on the poor households (pro-poor distribution).

CONCLUSIONS

Open defecation practice remains a public health problem in sub-Saharan Africa. Individual level factors, such as age, educational attainment, media exposure, household wealth status, and access to drinking water had an association with open defecation practice. Moreover, community level factors such as residence, country income status and region in SSA have a significant effect on open defecation. There is a significantly disproportional pro-poor distribution of open defecation practice in SSA. Each country should prioritize eliminating open defecation practices that focused poorest communities, rural societies, and limited water access areas. Media exposure and education should be strengthened. Moreover, public health interventions should target to narrow the poor-rich gap in the open defecation practice among households including provisions of subsidies to the poor. Policymakers and program planners better use this evidence as preliminary evidence to plan and decide accordingly.

Patient, physician and geographic predictors of cardiac stress testing strategy in Ontario, Canada: a population-based study

OBJECTIVES

To identify patient, physician and geographic level factors that are associated with variation in initial stress testing strategy in patients evaluated for chest pain.

DESIGN

Retrospective cohort study.

SETTING

Population-based study of patients undergoing evaluation for chest pain in Ontario, Canada between 1 January 2011 and 31 March 2018.

PARTICIPANTS

103 368 patients who underwent stress testing (graded exercise stress testing (GXT), stress echocardiography (stress echo) or myocardial perfusion imaging (MPI)) following evaluation for chest pain.

PRIMARY AND SECONDARY OUTCOME MEASURES

To identify the patient, physician and geographic level factors associated with variation in initial test selection, we fit two separate 2-level hierarchical multinomial logistic regression models for which the outcome was initial stress testing strategy (GXT, MPI or stress echo).

RESULTS

There was significant variability in the initial type of stress test performed, with approximately 50% receiving a GXT compared with approximately 36% who received MPI and 14% who received a stress echo. Physician-level factors were key drivers of this variation, accounting for up to 59.0% of the variation in initial testing. Physicians who graduated medical school >30 years ago were approximately 45% more likely to order an initial stress echo (OR 1.45, 95% CI 1.17 to 1.80) than a GXT. Cardiovascular disease specialists were approximately sevenfold more likely to order an initial MPI (OR 7.35, 95% CI 5.38 to 10.03) than a GXT. Patients aged >70 years were approximately fivefold more likely to receive an MPI (OR 4.74, 95% CI 4.42 to 5.08) and approximately 26% more likely to receive a stress echo (OR 1.26, 95% CI 1.15 to 1.38) than a GXT.

CONCLUSIONS

We report significant variability in initial stress testing strategy in Ontario. Much of that variability was driven by physician-level factors that could potentially be addressed through educational campaigns geared at reducing this variability and improving guideline adherence.

Spatial distribution and determinants of bottle feeding among children 0-23 months in Ethiopia: spatial and multi-level analysis based on 2016 EDHS

BACKGROUND

Bottle feeding is associated with diarrheal disease morbidity and mortality and risk of pyloric stenosis, especially in developing countries. Even though, World Health Organization (WHO) recommended avoiding bottle feeding among children, still higher magnitude was reported in developing countries. This study aimed to assess the spatial distribution and determinants of bottle feeding among children 0-23 months in Ethiopia.

METHODS

This study was conducted based on Ethiopian Demographic and Health Surveys data (EDHS). The data were weighted using sampling weight for probability sampling and non-response to restore the representativeness of the data and get valid statistical estimates. Then a total of 4,275 weighted samples of under two years children were used to investigate the study. The data were cleaned using MS excel and extracted and analyzed using STATA V.16 software. A multilevel binary logistic regression model was fitted. P-value < 0.05 was taken to declare statistical significance. A spatial analysis was done using ArcGIS and SaTScan software.

RESULTS

The prevalence of bottle feeding practice among under two years children in Ethiopia were 13.5% (95%CI: 11.16, 15.29) and ranges from the lowest 5.16% (95% CI: 3.28, 78.73) Amhara region to the highest 55.98% (95% CI: 47.98, 61.46) Addis Ababa region. Women with secondary and above education status [AOR=2.49; 95%CI; 1.66, 3.74], women from richest household [AOR=1.33; 95%CI; 1.01, 1.78], child 12-23 months age [AOR= 1.59; 95%CI; 1.23, 2.05], multiple birth [AOR=4.30; 95%CI; 1.88, 9.84], rural residence [AOR=0.49; 95%CI; 0.16, 0.82] and large central region [AOR= 0.15; 95%CI; 0.08, 0.27] have significantly associated with bottle feeding. Addis Ababa, Central Oromia, Dire Dewa, Somali and Harari regions were the hot spot areas for bottle feeding practice among under two years children.

CONCLUSION AND RECOMMENDATIONS

The prevalence of bottle feeding practices in Ethiopia is relatively moderate. Maternal education, wealth index, child age, multiple births, residence and region were significant predictors of bottle feeding. These findings highlight that, the Ministry of Health Ethiopia (MOH), policymakers, and other stakeholders had better give prior attention to preventable factors such as empowering women, enhancing household wealth status to decreasing bottle feeding practice in Ethiopia.

Contextual and individual factors associated with knowledge, awareness and attitude on liver diseases: A large-scale Asian study

There are limited data to provide better understanding of the knowledge/awareness of general population towards liver health in Asia. We sought to identify the knowledge gaps and attitudes towards liver health and liver diseases as well as evaluate associated individual-level and macro-level factors based on contextual analysis. An online survey assessing knowledge, awareness and attitudes towards liver health and disease was conducted among 7500 respondents across 11 countries/territories in Asia. A liver index was created to measure the respondents' knowledge level and the degree of awareness and attitudes. Multilevel logistic regression was performed to identify individual factors and contextual effects that were associated with liver index. The overall liver index (0-100-point scale) was 62.4 with 6 countries/territories' liver indices greater than this. In the multilevel model, the inclusion of geographical information could explain for 9.6% of the variation. Residing in a country/territory with higher HBV prevalence (80% IOR: 1.20-2.79) or higher HCV death rate (80% IOR: 1.35-3.13) increased the individual probability of obtaining a high overall liver index. Individual factors like age, gender, education, household income, disease history and health screening behaviour were also associated with liver index (all p-values<0.001). The overall liver index was positively associated with the two macro-level factors viz. HBV prevalence and HCV death rate. There is a need to formulate policies especially in regions of lower HBV prevalence and HCV death rate to further improve the knowledge, awareness and attitudes of the general public towards liver diseases.

Evaluating Completeness of Discrete Data on Physical Functioning for Children With Cerebral Palsy in a Pediatric Rehabilitation Learning Health System

OBJECTIVE

The purpose of this study was to determine the extent that physical function discrete data elements (DDE) documented in electronic health records (EHR) are complete within pediatric rehabilitation settings.

METHODS

A descriptive analysis on completeness of EHR-based DDEs detailing physical functioning for children with cerebral palsy was conducted. Data from an existing pediatric rehabilitation research learning health system data network, consisting of EHR data from 20 care sites in a pediatric specialty health care system, were leveraged. Completeness was calculated for unique data elements, unique outpatient visits, and unique outpatient records.

RESULTS

Completeness of physical function DDEs was low across 5766 outpatient records (10.5%, approximately 2 DDEs documented). The DDE for Gross Motor Function Classification System level was available for 21% (n = 3746) outpatient visits and 38% of patient records. Ambulation level was the most frequently documented DDE. Intercept only mixed effects models demonstrated that 21.4% and 45% of the variance in completeness for DDEs and the Gross Motor Function Classification System, respectively, across unique patient records could be attributed to factors at the individual care site level.

CONCLUSION

Values of physical function DDEs are missing in designated fields of the EHR infrastructure for pediatric rehabilitation providers. Although completeness appears limited for these DDEs, our observations indicate that data are not missing at random and may be influenced by system-level standards in clinical documentation practices between providers and factors specific to individual care sites. The extent of missing data has significant implications for pediatric rehabilitation quality measurement. More research is needed to understand why discrete data are missing in EHRs and to further elucidate the professional and system-level factors that influence completeness and missingness.

IMPACT

Completeness of DDEs reported in this study is limited and presents a significant opportunity to improve documentation and standards to optimize EHR data for learning health system research and quality measurement in pediatric rehabilitation settings.

Effectiveness of checklist-based box system intervention (CBBSI) versus routine care on improving postnatal care utilization in Northwest Ethiopia: a cluster randomized controlled trial

Background

The period after childbirth poses a substantial risk both to the mother and the newborn. Yet, this period received less attention as compared to the cares provided during pregnancy and childbirth. Hence, this study aimed to assess the effectiveness of checklist-based box system intervention on improving three postnatal care visit utilization.

Methods

A double blind, parallel group, two-arm cluster randomized controlled trial design was used to assess effectiveness of checklist-based box system intervention on improving third postnatal care visit. Pregnant mothers below 16 weeks of gestation were recruited from 15 intervention and 15 control clusters, which were randomized using simple randomization. Data from baseline and end line surveys were collected using open data kit and analyzed using STATA version 15.0. The status of three postnatal care visit between intervention and control groups over time was assessed using difference in difference estimator. The predictors of the outcome variable were then analysed using mixed effects multilevel logistic regression model.

Result

Of 1200 mothers considered from each of the baseline and end line studies, this study included data from 1162 and 1062 mothers at baseline and end line surveys, respectively. As it is shown from the difference-in-difference estimation (14.8%, 95%CI 5.4–24.2%, p = 0.002) and the final model (AOR 4.45, 95%CI 2.31–8.54), checklist-based box system intervention was effective on improving third postnatal care visit. In addition, institutional delivery (AOR 1.62, 95%CI 1.15–2.28) and knowledge on danger signs during postnatal period (AOR 5.20, 95%CI 3.71–7.29) were found to be significant predictors of the outcome variable. In the contrary, mothers who got influenced by older generations of individuals were (AOR 0.32, 95%CI 0.18–0.59) less likely to attend three postnatal care visit.

Conclusions

The implementation of checklist-based box system intervention was found to be effective in improving utilization of the recommended three postnatal care visits. The contribution of the trial on improving third postnatal care visit can be enhanced by minimizing practical level challenges, as well as expanding health messages to reach unreached mothers and significant others who can influence the mother’s decision.

Trial registration: ClinicalTrials.gov, NCT03891030, Retrospectively registered on 26 March, 2019, https://clinicaltrials.gov/ct2/show/NCT03891030.

Postnatal care is a care that a delivered women and her newborn baby receive after delivery and up to 42 days of childbirth, regardless of place of delivery. This period is considered critical in minimizing morbidity and mortality of both the mother and the baby. In Ethiopia, the coverage of postnatal care utilization remained low. Recent studies showed only 33.8% of mothers received postnatal care, this becomes very low for mothers who delivered at home, of which only 8.2% of them received the care. On top of other factors that hinder maternal health care utilization, in Ethiopia there are widely accepted and persistent cultural ceremonies after childbirth that encourages a women to stay in door.

This study introduced a new intervention called Checklist-based box system intervention, which aimed to improve postnatal care utilization through demand creation and dropout tracing mechanisms. The intervention was carried out by health professionals in health centers and community health workers (health extension workers) who visited mothers in their homes. Despite some practical challenges, its implementation demonstrated an improvement over clusters that did not receive the intervention. This intervention is recommended to be implemented on a larger scale. Simultaneously, practical level challenges need to be addressed in order for the intervention’s effect to be seen in its best form.

Neighborhood Disadvantage and Early Respiratory Outcomes in Very Preterm Infants with Bronchopulmonary Dysplasia

OBJECTIVE

To investigate the impact of neighborhood conditions on respiratory-related hospital admissions in the first year after discharge from the neonatal unit in a population of infants born very preterm with bronchopulmonary dysplasia (BPD).

STUDY DESIGN

Very preterm infants (gestational age <33 weeks) who had BPD at 36 weeks postconceptional age and who received follow-up in a French regional medical network were included. Socioeconomic context was estimated using a neighborhood-based Socioeconomic Deprivation Index. Poisson regression analysis was used to identify risk factors associated with rehospitalization.

RESULTS

The study included 423 infants with a mean gestational age of 27 ± 2 weeks and mean birth weight of 941 ± 277 g; 51% of the population lived in a disadvantaged area. The hospital admission rate was increased by 8.8% for infants living in affluent areas and by 24% for those living in disadvantaged areas (P <.01) and reached 30% in extremely preterm infants from disadvantaged areas. After adjusting for perinatal characteristics, home oxygen therapy, and season of birth, the respiratory-related hospitalization rate was almost 3-fold higher in infants living in disadvantaged areas, with an adjusted incidence rate ratio of 2.79 (95% CI, 1.29-6.09; P <.01).

CONCLUSIONS

Disadvantaged neighborhoods adversely impact early respiratory outcomes in infants born very preterm with BPD. The social context should be considered in routine follow-up care of children born preterm. Further studies investigating the underlying mechanisms are warranted for implementing preventive strategies.

The relationship between the neighborhood built and social environment and hypertensive disorders of pregnancy: A scoping review

BACKGROUND

Theory and limited empirical research suggest that the neighborhood environment influences maternal health outcomes. The goal of this scoping review is to summarize extant research considering the impact of the built and social environment of resident neighborhood on hypertensive disorders of pregnancy (HDP) globally.

METHODS

We performed a systematic search of the literature using four databases, PubMed, Web of Science, CINAHL, and Embase on July 15, 2020. We excluded articles not in English, that did not consider one or more HDP as a primary or secondary outcome, and that did not include an element of the neighborhood built or social environment as an exposure. We applied a modified version of the Effective Public Health Practice Project Quality Assessment Tool for Quantitative Studies to evaluate quality of included studies.

RESULTS

Our search identified 11,385 unique abstracts for screening. Following exclusions, we included 64 articles in the final review. The majority of articles measured an element of the built environment (70.3% (44)), most commonly traffic-related air pollution (42.2% (27)). A third of articles (31.3% (20)) considered an element of the neighborhood social environment, most commonly neighborhood deprivation (10.9% (7)). Global quality ratings were mostly moderate (29.7% (19)) or weak (68.8% (44)), primarily due to inattention to neighborhood-level confounding.

CONCLUSION

Critical gaps remain in understanding how the resident neighborhood may impact HDP. Future research should focus on designing high-quality studies incorporating elements of both the built and social environment to holistically understand how context may impact maternal health.