A brief conceptual tutorial of multilevel analysis in social epidemiology: linking the statistical concept of clustering to the idea of contextual phenomenon

Using Multilevel Models and Generalized Estimating Equation Models to Account for Clustering in Neurology Clinical Research

In clinical and health services research, clustered data (also known as data with a multilevel or hierarchical structure) are frequently encountered. For example, patients may be clustered or nested within hospitals. Understanding when data have a multilevel structure is important because clustering of individuals can induce a homogeneity in outcomes within clusters, so that, even after adjusting for measured covariates, outcomes for 2 individuals in the same cluster are more likely to be similar than outcomes for 2 individuals from different clusters. Using conventional statistical regression models to analyze clustered data can result in incorrect conclusions being drawn. In particular, estimated CIs may be artificially narrow, and significance levels may be artificially low. As a result, one may conclude that there is a statistically significant association when there is none. To avoid this problem, investigators should ensure that their analyses use techniques that account for clustering of data. Generalized linear models estimated using generalized estimating equation (GEE) methods and multilevel regression models (also known as hierarchical regression models, mixed-effects models, or random-effects models) are two such techniques. We provide an introduction to clustered or multilevel data and describe how GEE models or multilevel models can be used for the analysis of multilevel data.

What is the role of leisure-time physical activity in the association between neighborhood environmental characteristics and hypertension in older adults? The EpiFloripa Aging Cohort study

Background

Research suggests a link between the urban built environment and blood pressure, potentially mediated by physical activity. This study aims to investigate the relationship between perceived neighborhood characteristics and blood pressure in older adults, as well as the mediating role of walking in this relationship.

Methods

Data from the third wave of the EpiFloripa Aging Cohort Study in Florianopolis, Brazil (2017-2019; n = 1335) were used for this cross-sectional analysis. Blood pressure was measured using digital devices, and hypertension diagnosis relied on healthcare professionals' information. The neighborhood environment was assessed with the Abbreviated Neighborhood Environment Walkability Scale, while walking was evaluated with the International Physical Activity Questionnaire. Multilevel logistic regression analyzed the association between the neighborhood environment, blood pressure, and hypertension. Structural equation modeling assessed the mediation effect of walking.

Results

Hypertension prevalence was 85.3 %, with 69.0 % having objectively measured elevated blood pressure. Results showed that older adults perceiving better infrastructure for physical activity (OR: 0.88; CI: 0.78-0.99), increased safety in their neighborhood (OR: 0.88; CI: 0.79-0.99), traffic security (OR: 0.88; CI: 0.78-0.99) and better overall perception of the environment (OR: 0.73; IC: 0.55-0.98) had a lower likelihood of self-reported hypertension. The association between self-reported hypertension and overall perception of the environment was partially explained by leisure-time walking (β = -0.01; p < 0.05).

Conclusion

Our findings suggest that public policies promoting the establishment of safe and supportive spaces for physical activity emerge as essential measures in the prevention and management of hypertension in older adults.

Determinants of animal source food consumption among children aged 6-23 months in sub-Saharan Africa: multilevel mixed effect model

A diversified diet in early childhood that comprises plant and animal source foods contributes to better health outcomes throughout the life course. However, inadequate infant and young child-feeding practices are serious public health problems in Africa. Evidence on the magnitude and determinants of inadequate animal source food consumption (ASF) in sub-Saharan Africa (SSA) is not yet well established. Hence, this study aimed to estimate the pooled magnitude and determinants of ASF consumption in SSA. A total weighted sample of 92,309 children aged 6-23 months from the Demographic and Health Survey dataset of 35 SSA countries was used for this study. A multilevel mixed-effect model was fitted. The intra-class correlation coefficient (ICC) and likelihood ratio (LR) tests were used to assess the presence of the clustering effect. The model comparison was made using deviance information criteria (DIC). A p-value of p < 0.05 was used to declare statistical significance. The pooled magnitude of ASF consumption among children aged 6-23 months in SSA was 23.7% (95% CI: 23.4, 23.9). Across the SSA regions, the Southern Africa region had the highest consumption of ASF (51.35%), and the lowest was from the Eastern Africa region (21.41%). Younger children aged 6-9 months (AOR = 3.39; 95% CI: 3.14, 3.65), mothers who had no formal education (AOR = 1.46; 95% CI: 1.37, 1.56), children from mothers with no media exposure (AOR = 1.17; 95% CI: 1.11, 1.24), children from the poorest households (AOR = 2.59; 95% CI: 2.36, 2.84), rural residence (AOR = 1.20; 95% CI: 1.12, 1.28), living in low-income countries (AOR = 2.43; 95% CI: 2.03, 2.90), and children from the East Africa region (AOR = 1.24; 95% CI: 1.14, 1.35) were among the significant predictors for not consuming ASF. In this study, ASF consumption was markedly low. Almost three-fourths of children aged 6-23 months in SSA did not consume ASF in the previous day. Age of the child, ANC visits, maternal educational status, maternal marital status, media exposure, and household wealth index were significant individual-level predictors of ASF consumption, whereas the place of residence, country's income level, and regions of SSA were found to be significant community-level predictors of ASF consumption. Thus, the study highlighted that policymakers, governments, and their partners should demonstrate rigorous efforts to improve dietary diversification with due consideration to the identified predictors of ASF.

Trend and determinants of unplanned pregnancy among expectant mothers in Ethiopia based on the Ethiopia Demographic and Health Survey (2000-2016) data: a cross-sectional study

OBJECTIVE

To investigate the trend and determinants of unplanned pregnancy among expectant women using the four Ethiopia Demographic and Health Survey (EDHS) data (2000-2016).

DESIGN

Cross-sectional study.

SETTING

Secondary data analysis using EDHS data.

PARTICIPANTS

The number of weighted participants were 1451 in 2000, 1184 in 2005, 1205 in 2011 and 1135 in 2016.

PRIMARY AND SECONDARY OUTCOME MEASURES

Unplanned pregnancy encompasses both mistimed (occurring earlier than desired) and unwanted (occurring when no further children are desired) forms of conception. Trend and multilevel logistic regression analyses were conducted.

RESULTS

The rate of unplanned pregnancies in Ethiopia showed a significant decline, decreasing from 45.8% (95% CI 41.8 to 49.8) in 2000 to 29.7% (95% CI 25.3 to 34.4) in 2016, indicating an overall change of 16.1%. Several factors were positively linked to unplanned pregnancy, including being multipara (adjusted OR (AOR)=9.8; 95% CI 1.74 to 15.23) and grand multipara (AOR=12.2; 95% CI 1.62 to 19.3), expressing a lack of desire for additional children (AOR=2.82; 95% CI 1.30 to 6.12), unemployment (AOR=1.91; 95% CI 1.12 to 3.78) and being unmarried (AOR=7.23; 95% CI 4.71 to 15.5), whereas, women residing in the Afar (AOR=0.12; 95% CI 0.02 to 0.79) and Somalia (AOR=0.20; 95% CI 0.07 to 0.67) regions were associated with reduced likelihood of experiencing unplanned pregnancy.

CONCLUSION

The study discovered that unplanned pregnancies in Ethiopia decreased significantly from 2000 to 2016. However, around one-third of pregnant women are still affected, indicating a high rate. To address this, policymakers and stakeholders should propose and implement targeted interventions on identified risk factors.

Childhood poverty, social support, immigration background and adolescent health and life satisfaction: A population-based longitudinal study

OBJECTIVES

This study examined whether poverty (neighborhood and household) was associated with future health or life satisfaction outcomes and whether the association operated through social support (adult support at home, adult support at school, peer belonging), or differed by the immigration background (nonimmigrant family or immigrant family) of the family.

METHODS

This study utilized a retrospective, longitudinal, population-based cohort that included self-reported survey data from the Middle Years Development Instrument (MDI) completed by children at age 9 and age 12, linked to administrative records. Participants included 5906 children in British Columbia, Canada. Neighborhood and household poverty were observed at age 8. Social support from adults and peers was self-reported at age 9. Outcomes (overall health; life satisfaction) were self-reported at age 12. Adjusted multi-level multiple linear regression analyses and parallel mediation analyses were utilized. The interaction between poverty exposure and immigration background was also examined.

RESULTS

Exposure to either poverty type was associated with lower levels of life satisfaction and overall health at age 12, though household poverty appeared to be associated with lower outcomes in comparison to neighborhood poverty. The indirect effects of poverty on outcomes appeared to operate primarily through adult support at home and peer belonging. Children in immigrant families had a larger negative association between neighborhood poverty and life satisfaction.

CONCLUSIONS

Household poverty had a larger negative association to outcomes in comparison to neighborhood poverty. The association of poverty to outcomes differed by immigration background and operated partially through adult support at home and peer belonging.

Socioeconomic inequalities in the uptake of postpartum care at home across Dutch neighbourhoods

BACKGROUND

Postpartum care focuses on prevention of health problems by performing medical check-ups and through enhancing maternal empowerment, the parent-infant interaction and knowledge about mother's own health and that of her newborn. We aimed to investigate whether there was significant clustering within neighbourhoods regarding the uptake of postpartum care and to what extent neighbourhood-level differences are explained by individual socio-demographic factors, pregnancy-related factors and neighbourhood-level determinants (i.e. deprivation and urbanization).

METHODS

A nationwide population-based observational study was carried out using linked routinely collected healthcare data from appropriate-for-gestational-age weight live-born term singleton deliveries (2015-18) in the Netherlands. We performed two-level multivariable logistic regression analyses, using three different models. Model 1 contained no explanatory variables and was used to assess clustering of postpartum care uptake within neighbourhoods. In model 2, individual-level determinants were added one by one and in model 3, neighbourhood-level determinants were added.

RESULTS

About 520 818 births were included. Multilevel modelling showed that 11% of the total variance in postpartum care uptake could be attributed to the neighbourhood of residence. Individual characteristics explained 38% of the neighbourhood variance, of which income and migration background were the most important contributors. An additional 6% of the variation could be explained by neighbourhood-level determinants.

CONCLUSION

We found substantial neighbourhood differences in postpartum care uptake. These differences are influenced by a complex interplay between individual-level and neighbourhood-level determinants, highlighting the importance of addressing both individual and neighbourhood-level determinants to improve the uptake of postpartum care and therewith overall community health.

Practice Patterns for Acute Asthma Exacerbation in Adult Patients Admitted to U.S. Intensive Care Units

Rationale: Guidelines recommend systemic corticosteroids and inhaled β-agonists for patients with severe asthma exacerbation who are admitted to intensive care units. The benefits and utilization of adjunct treatments after guideline-recommended first-line treatments have been initiated are unclear. Objectives: Examine practice patterns of adjunct interventions in US intensive care units (ICUs) and their associations with outcomes for adults with severe asthma exacerbations. Methods: Using the multicenter PINC AI Healthcare Database of Premier Inc. (2016-2022), we sought to explore the use of adjunct interventions (medications [e.g., magnesium, leukotriene inhibitors, terbutaline, heliox] and procedures [e.g., invasive and noninvasive mechanical ventilation]) for adult patients admitted to U.S. ICUs with acute asthma exacerbations. We used hierarchical generalized linear models to calculate risk-adjusted rates of adjunct interventions and quantified between-hospital variation in adjunct interventions using the intraclass correlation coefficient (ICC; higher values correspond to higher between-hospital variation). We then used K-means clustering to identify groups of hospitals with similar risk-adjusted practice profiles of all adjunct treatments and examined associations between identified hospital clusters and patient outcomes. Results: We identified 62,392 patients from 961 hospitals for inclusion. Adjunct interventions with the highest between-hospital variation after risk adjustment were heliox (ICC, 91%), inhaled steroids (ICC, 23%), invasive mechanical ventilation (ICC, 21%), terbutaline (ICC, 22%), paralytics (ICC, 16%), and noninvasive ventilation (ICC, 15%). K-means clustering identified two distinct hospital clusters: Patients who were admitted to Cluster 1 hospitals (399 hospitals) had higher risk-adjusted rates of noninvasive ventilation (51% vs. 33%), compared with patients who were admitted to Cluster 2 hospitals (234 hospitals), which had higher risk-adjusted rates of invasive mechanical ventilation (63% vs. 30%). Cluster 2 was associated with fewer hospital-free days (β = -0.75 d; 95% confidence interval [CI] = -0.95, -0.55) and increased in-hospital mortality (adjusted odds ratio, 1.28; 95% CI = 1.17, 1.40). Conclusions: The use of adjunct interventions for patients with severe asthma exacerbations vary widely across U.S. hospitals; however, hospitals generally fall into two clusters differentiated primarily by the use of invasive or noninvasive mechanical ventilation. The cluster favoring noninvasive mechanical ventilation was associated with improved outcomes. Our results help to inform usual-care arms of future comparative effectiveness studies and efforts to standardize asthma practice.

Modern contraceptive utilization among women of reproductive age in Ghana: a multilevel mixed-effect logistic regression model

BACKGROUND

Worldwide, sexual and reproductive health remains a prominent public health concern for women of reproductive age. Modern contraceptive methods play a crucial role in enabling individuals and families to regulate fertility, thereby reducing unintended pregnancies, abortions, pregnancy-related complications, and mortality. Due to the scarcity of reliable and current data regarding the factors affecting the adoption of modern contraceptives among women of reproductive age at the national level in Ghana, this research aimed to explore the determinants of modern contraceptive usage among reproductive age women.

METHODS

The study analyzed data from the 2022 Ghana Demographic and Health Survey, including a weighted sample of 6,839 reproductive-age women. By employing a multilevel logistic regression model, the study sought to determine factors associated with the utilization of modern contraceptives. Associations between explanatory variables and the outcome were evaluated using adjusted odds ratios (AORs) along with 95% confidence intervals (CIs). Statistical significance was established using a p-value threshold of less than 0.05. All statistical analyses were conducted using STATA version 17 software.

RESULTS

The study found that 26.36% (95% CI: 25.33-27.34%) of women of reproductive age in Ghana used modern contraceptives. Secondary education (AOR = 1.26, 95% CI = 1.03-1.53), poorer household (AOR = 1.30, 95% CI = 1.05-1.61), women's marital status, i.e. married (AOR = 1.46, 95% CI = 1.16-1.83), living with a partner (AOR = 1.65, 95% CI = 1.32-2.06), divorced (AOR = 2.53, 95% CI = 1.48-4.31), and separated (AOR = 1.70, 95% CI = 1.21-2.37), multipara (AOR = 1.39, 95% CI = 1.04-1.87), were the factors that promote modern contraceptive utilization. Women's age in years, i.e. 35-39 (AOR = 0.71, 95% CI = 0.52-0.97), 40-44 (AOR = 0.63, 95% CI = 0.44-0.90), and 45-49 (AOR = 0.45, 95% CI = 0.25-0.79), history of pregnancy loss (AOR = 0.86, 95% CI = 0.76-0.98), region, i.e. Greater Accra (95% CI = 0.42-0.92), Bono East (95% CI = 0.32-0.81), Northern (95% CI = 0.28-0.67), Savannah (95% CI = 0.28-0.81), and North East (95% CI = 0.20-0.63), were all associated with a lower use of modern contraceptives.

CONCLUSIONS

Modern contraceptive utilization was low in this study. Factors such as women's education, socioeconomic status, and marital status were associated with increased modern contraceptive utilization, whereas women's age and regional disparities were linked to lower usage rates. These findings emphasize the need for targeted interventions to address socioeconomic barriers and regional disparities in access to family planning services across Ghana.

Using multi-level regression to determine associations and estimate causes and effects in clinical anesthesia due to patient, practitioner and hospital or health system practice variability

In this research methods tutorial of clinical anesthesia, we will explore techniques to estimate the influence of a myriad of factors on patient outcomes. Big data that contain information on patients, treated by individual anesthesiologists and surgical teams, at different hospitals, have an inherent multi-level data structure (Fig. 1). While researchers often attempt to determine the association between patient factors and outcomes, that does not provide clinicians with the whole story. Patient care is clustered together according to clinicians and hospitals where they receive treatment. Therefore, multi-level regression models are needed to validly estimate the influence of each factor at each level. In addition, we will explore how to estimate the influence that variability-for example, one anesthesiologist deciding to do one thing, while another takes a different approach-has on outcomes for patients, using the intra-class correlation coefficient for continuous outcomes and the median odds ratio for binary outcomes. From this tutorial, you should acquire a clearer understanding of how to perform and interpret multi-level regression modeling and estimate the influence of variable clinical practices on patient outcomes in order to answer common but complex clinical questions. Fig. 1 Infographics.

Effectiveness of group-based psycho-education on preventing postpartum depression among pregnant women by primary healthcare provider in primary healthcare institution: a cluster-randomized controlled trial

Background

In Ethiopia, one in five mothers suffers from postpartum depression, which needs to be prevented through interventions. According to the World Health Organization, maternal healthcare providers have a unique opportunity to provide psychosocial interventions to prevent the damaging effects of perinatal depression. Hence, this study assessed the effectiveness of prenatal group-based psycho-education in preventing postpartum depression (PPD) in primary healthcare units.

Methods

We conducted a two-arm cluster-randomized controlled trial, enrolling 550 pregnant women at 12-20 weeks of gestation with a normal score (0-4) and a mild score (5-9) on the Patient Health Questionnaire-9 (PHQ-9). The study utilized simple randomization techniques to assign clusters between arms in a 1:1 ratio. The data was collected through face-to-face interviews conducted at 12-20 weeks of gestation and 6 weeks postpartum. The intervention group received usual care plus five prenatal group-based psycho-education (PGBPE) classes, while the control group received only usual care. The PPD status between arms was compared using the chi-square test of association. A mixed-effects multilevel logistic regression model was also used to examine the predictors of the outcome variables.

Results

The overall response rate at the end line was 92.9%. Thus, compared to that in controls, the PPD in the intervention clusters was considerably lower (20 (7.6%) vs. 74 (28.9%)), P = 0.001)/65% (AOR = 0.35, 95% CI = 0.13-0.99), although no difference was detected at baseline. Social support (AOR = 0.04, 95% CI = 0.01-0.15), partner emotional support (AOR = 0.24, 95% CI = 0.12-0.51), PPD literacy (AOR = 0.25, 95% CI = 0.11-0.62), and self-esteem (AOR = 0.22, 95% CI = 0.11-0.47) were more likely to protect mothers from PPD. On the contrary, domestic work (AOR = 9.75, 95% CI = 3.37-28.16), neonates with complications (AOR = 5.79, 95% CI = 2.04-16.45), and unhealthy coping (AOR = 2.39, 95% CI = 1.06-5.42) exposed mothers to PPD.

Conclusion

The implementation of a PGBPE in primary healthcare units (PHCUs) was effective at preventing PPD. Therefore, this intervention method has to be promoted and used in PHCUs to prevent PPD.

Clinical Trial Registration

[Pan African Clinical Trial Registry], identifier [PACTR 202203616584913].

Spatial variation of skilled birth attendance and associated factors among reproductive age women in Ethiopia, 2019; a spatial and multilevel analysis

Background

The majority of maternal deaths were associated with a lack of access to skilled birth attendance. Because childbirth accounts for most maternal deaths, skilled birth attendance is crucial for reducing maternal mortality. The use of skilled birth attendance in Ethiopia is low, and it is crucial to identify factors that determine the use of skilled birth attendance. Hence, this study aimed to assess the spatial distribution, wealth-related inequality, and determinants for skilled birth attendance in Ethiopia.

Methods

Secondary data analysis was done with a total weighted sample of 5,251 reproductive-aged women using the 2019 mini EDHS. The concentration index and graph were used to assess wealth-related inequalities. Spatial analysis was done to identify the spatial distribution and multilevel logistic regression analysis was used to identify predictors of skilled birth attendance in Ethiopia. Analysis was done using STATA version 14, ArcGIS, and SaTscan software.

Results

The prevalence of skilled birth attendance was 50.04% (95% CI: 48.69%, 51.40%) in Ethiopia. Old age, being married, being educated, having television and radio, having ANC visits, being multiparous, having large household sizes, having a rich wealth index, living in rural residence, and living in a high level of community poverty and women's education were significant predictors of skilled birth attendance. Skilled birth attendance was disproportionately concentrated in rich households [C = 0.482; 95% CI: 0.436, 0.528]. High prevalence of unskilled birth attendance was found in Somalia, SNNP, Afar, and southern parts of the Amhara regions. Primary clusters of unskilled birth attendance Somalia and some parts of Oromia region of Ethiopia.

Conclusion

Half of the women in Ethiopia did not utilize skilled birth attendants with significant spatial clustering. Age, marital status, educational status, ANC Visit, having television and radio, parity, household size, wealth index, residence, community level poverty, and community level of women's education were significant predictors of skilled birth attendance. Skilled birth attendance was unevenly concentrated in rich households. The regions of Somalia, SNNP, Afar, and southern Amhara were identified as having a high prevalence of using unskilled birth attendance. Public health interventions should target those women at high risk of using unskilled birth attendants.

Variations, effectiveness and its associated factors of a nationwide web-based hypertension management training project in China: insights from a government-led campaign for 1.2 million lay health workers

OBJECTIVES

To evaluate the effectiveness of a large-scale, web-based, in-service hypertension management training project among lay health workers (LHWs) at primary care health (PHC) settings in China, and to examine the factors contributing to the variations of effectiveness.

METHODS

We used data from a web-based national hypertension management training project implemented in 2018, it was designed to facilitate LHWs to learn, understand, and apply the relevant knowledge and skills in hypertension management through providing training courses by use of the web-based platform with unified standards. All LHWs were required to participate in the exams before and after training to acquire scores for the use of evaluating their performance of hypertension management knowledge. We first used descriptive analysis to present the variations of effectiveness in hypertension management knowledge among LHWs by important subgroups. Afterwards, we used multilevel logistic regression to examine the individual and regional factors contributing to the variations and quantify the magnitude of how these factors affected training effectiveness.

RESULTS

There were 1,208,610 LHWs who completed training and were certificated. Nationally, the scores of LHWs increased significantly from 62.87 ± 21.14 out of 100 in the pre-test to 88.30 ± 11.31 in the post-test by 25.43 (95% confidence interval [CI]: 25.40-25.47). Training contents involved in antihypertensive medication showed the lowest score (54.36) in the pre-test and soared the most after training, up to 84.22 by 54.94%. Individual factors associated with disparities in the knowledge of hypertension management decreased substantially after training, which included sex, age, education, practice type, professional level, and hierarchy of working institutions. Geographical variations were shown at the provincial level, with the majority of them being explained by factors at the regional level.

CONCLUSIONS

Accessible web-based training modality, government efforts, accompanied with experiences derived from the training, could be generalized to other low- and middle-income countries in facilitating the hypertension management capacity of LHWs. Localization and evaluation is warranted on the way to its further application.

County-Level Variation in Triple Guideline-Directed Medical Therapy in Heart Failure With Reduced Ejection Fraction

Background

Current guidelines recommend simultaneous initiation of multidrug guideline-directed medical therapy classes for heart failure with reduced ejection fraction.

Objectives

The purpose of this study was to evaluate county-level variation in use of triple guideline-directed medical therapy, defined as simultaneous prescription fills for beta-blockers, renin-angiotensin system inhibitors or angiotensin receptor neprilysin inhibitors, and mineralocorticoid receptor antagonists, in heart failure with reduced ejection fraction.

Methods

We conducted a cohort study using Medicare Fee-for-Service claims data (parts A, B, and D between 2013 and 2019). Features of counties including area-level indicators of poverty, employment, and educational attainment and aggregated patient-level sociodemographic and medical history variables were compared by quintiles of triple therapy use. A multilevel logistic regression model was constructed to estimate the contextual effect of clustering by counties, which was expressed as a median OR.

Results

304,857 patients from 2,600 counties (83% of all U.S. counties) were included. The median for triple therapy use was 14.3% (IQR: 10.3%-18.8%) across included counties with a wide variation (range: 0%-54.5%). Compared to counties in the highest use quintile, counties in lowest triple therapy use quintile had worse area-level indicators of socioeconomic status (% unemployment 6.8% vs 6.2%). Counties in lowest quintile had higher proportion of Black patients (13.3% vs 5.7% in highest quintile) and patients with low-income subsidy (29.3% vs 25.8% in highest quintile). The median OR was 1.30 (95% CI: 1.28-1.33).

Conclusions

We observed variation in triple therapy use across counties in the United States with suboptimal local use patterns correlating with indicators of socioeconomic disadvantage.

Variation in Use of Medications for Opioid Use Disorder in Critically Ill Patients Across the United States

OBJECTIVES

To describe practice patterns surrounding the use of medications to treat opioid use disorder (MOUD) in critically ill patients.

DESIGN

Retrospective, multicenter, observational study using the Premier AI Healthcare Database.

SETTING

The study was conducted in U.S. ICUs.

PATIENTS

Adult (≥ 18 yr old) patients with a history of opioid use disorder (OUD) admitted to an ICU between 2016 and 2020.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Of 108,189 ICU patients (658 hospitals) with a history of OUD, 20,508 patients (19.0%) received MOUD. Of patients receiving MOUD, 13,745 (67.0%) received methadone, 2,950 (14.4%) received buprenorphine, and 4,227 (20.6%) received buprenorphine/naloxone. MOUD use occurred in 37.9% of patients who received invasive mechanical ventilation. The median day of MOUD initiation was hospital day 2 (interquartile range [IQR] 1-3) and the median duration of MOUD use was 4 days (IQR 2-8). MOUD use per hospital was highly variable (median 16.0%; IQR 10-24; range, 0-70.0%); admitting hospital explained 8.9% of variation in MOUD use. A primary admitting diagnosis of unintentional poisoning (aOR 0.41; 95% CI, 0.38-0.45), presence of an additional substance use disorder (aOR 0.66; 95% CI, 0.64-0.68), and factors indicating greater severity of illness were associated with reduced odds of receiving MOUD in the ICU.

CONCLUSIONS

In a large multicenter, retrospective study, there was large variation in the use of MOUD among ICU patients with a history of OUD. These results inform future studies seeking to optimize the approach to MOUD use during critical illness.

Minimum acceptable diet and its predictors among children aged 6-23 months in Ethiopia. A multilevel cloglog regression analysis

Despite significant progress made previously and the recognized health benefits of optimal feeding practices, ensuring a minimum acceptable diet in developing countries like Ethiopia remains a formidable challenge. Additionally, there is a scarcity of data in this area. Therefore, our study aims to identify predictors of a minimum acceptable diet using a powerful tool called complementary log-log regression analysis. Thus, it contributes to accelerating the pathway of ending child undernutrition thereby promoting optimal child health. A multilevel analysis was conducted among a weighted sample of 1427 children aged 6-23 months using the 2019 Ethiopian Demographic Health Survey (EDHS). The EDHS sample was stratified and selected in two stages. A minimum acceptable diet is defined as a composite of children fed with both minimum dietary diversity and minimum meal frequency. Data extraction took place between August 1 and 30, 2023. We used STATA software version 17 for data analysis. A complementary log-log regression model was fitted to identify significant predictors of the minimum acceptable diet. A p-value of ≤0.05 was used to declare statistically significant predictors. Only 10.44% (95CI: 8.90-12.15) of the children meet the minimum acceptable diet. Child aged (18-23 month) (AOR = 1.78, 95CI:1.14-2.78)], mother's educational level (secondary and above education) (AOR = 279,95CI: 1.51-5.15), number of children three and above [(AOR = 0.78,95CI: 0.53-0.94], institutional delivery [AOR = 1.77,95CI: 1.11-3.11], having postnatal-check-up [AOR = 2.33,95CI: 1.59-3.41] and high community poverty level (AOR = 0.49,95CI: 0.29-0.85) were found to be predictors of minimum acceptable diet. In Ethiopia, only one in ten children achieve a minimum acceptable diet. Which is lower than the global report findings (16%). Enhancing maternal education programs and promoting family planning strategies to reduce household size are essential. Besides, encouraging institutional deliveries and postnatal check-ups are also recommended. It is necessary to implement targeted interventions for poverty reduction in communities to ensure that families can afford nutritious diets for their children.

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 of subclinical psychosis across 16 sites in Europe and Brazil: findings from the multi-national EU-GEI study

BACKGROUND

Incidence of first-episode psychosis (FEP) varies substantially across geographic regions. Phenotypes of subclinical psychosis (SP), such as psychotic-like experiences (PLEs) and schizotypy, present several similarities with psychosis. We aimed to examine whether SP measures varied across different sites and whether this variation was comparable with FEP incidence within the same areas. We further examined contribution of environmental and genetic factors to SP.

METHODS

We used data from 1497 controls recruited in 16 different sites across 6 countries. Factor scores for several psychopathological dimensions of schizotypy and PLEs were obtained using multidimensional item response theory models. Variation of these scores was assessed using multi-level regression analysis to estimate individual and between-sites variance adjusting for age, sex, education, migrant, employment and relational status, childhood adversity, and cannabis use. In the final model we added local FEP incidence as a second-level variable. Association with genetic liability was examined separately.

RESULTS

Schizotypy showed a large between-sites variation with up to 15% of variance attributable to site-level characteristics. Adding local FEP incidence to the model considerably reduced the between-sites unexplained schizotypy variance. PLEs did not show as much variation. Overall, SP was associated with younger age, migrant, unmarried, unemployed and less educated individuals, cannabis use, and childhood adversity. Both phenotypes were associated with genetic liability to schizophrenia.

CONCLUSIONS

Schizotypy showed substantial between-sites variation, being more represented in areas where FEP incidence is higher. This supports the hypothesis that shared contextual factors shape the between-sites variation of psychosis across the spectrum.

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.

Geographic and socioeconomic variation in treatment of elderly prostate cancer patients in Norway - a national register-based study

PURPOSE

The aim of this study was to examine geographic and socioeconomic variation in curative treatment and choice of treatment modality among elderly prostate cancer (PCa) patients.

METHODS

This register-based cohort study included all Norwegian men ≥ 70 years when diagnosed with non-metastatic, high-risk PCa in 2011-2020 (n = 10 807). Individual data were obtained from the Cancer Registry of Norway, the Norwegian Prostate Cancer Registry, and Statistics Norway. Multilevel logistic regression analysis was used to model variation across hospital referral areas (HRAs), incorporating clinical, demographic and socioeconomic factors.

RESULTS

Overall, 5186 (48%) patients received curative treatment (radical prostatectomy (RP) (n = 1560) or radiotherapy (n = 3626)). Geographic variation was found for both curative treatment (odds ratio 0.39-2.19) and choice of treatment modality (odds ratio 0.10-2.45). Odds of curative treatment increased with increasing income and education, and decreased for patients living alone, and with increasing age and frailty. Patients with higher income had higher odds of receiving RP compared to radiotherapy.

CONCLUSIONS

This study showed geographic and socioeconomic variation in treatment of elderly patients with non-metastatic, high-risk PCa, both in relation to overall curative treatment and choice of treatment modality. Further research is needed to explore clinical practices, the shared decision process and how socioeconomic factors influence the treatment of elderly patients with high-risk PCa.

Computer vision models enable mixed linear modeling to predict arbuscular mycorrhizal fungal colonization using fungal morphology

The presence of Arbuscular Mycorrhizal Fungi (AMF) in vascular land plant roots is one of the most ancient of symbioses supporting nitrogen and phosphorus exchange for photosynthetically derived carbon. Here we provide a multi-scale modeling approach to predict AMF colonization of a worldwide crop from a Recombinant Inbred Line (RIL) population derived from Sorghum bicolor and S. propinquum. The high-throughput phenotyping methods of fungal structures here rely on a Mask Region-based Convolutional Neural Network (Mask R-CNN) in computer vision for pixel-wise fungal structure segmentations and mixed linear models to explore the relations of AMF colonization, root niche, and fungal structure allocation. Models proposed capture over 95% of the variation in AMF colonization as a function of root niche and relative abundance of fungal structures in each plant. Arbuscule allocation is a significant predictor of AMF colonization among sibling plants. Arbuscules and extraradical hyphae implicated in nutrient exchange predict highest AMF colonization in the top root section. Our work demonstrates that deep learning can be used by the community for the high-throughput phenotyping of AMF in plant roots. Mixed linear modeling provides a framework for testing hypotheses about AMF colonization phenotypes as a function of root niche and fungal structure allocations.

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.

Hospital variation of outcomes in status epilepticus

OBJECTIVE

Understanding factors driving variation in status epilepticus outcomes would be critical to improve care. We evaluated the degree to which patient and hospital characteristics explained hospital-to-hospital variability in intubation and postacute outcomes.

METHODS

This was a retrospective cohort study of Medicare beneficiaries admitted with status epilepticus between 2009 and 2019. Outcomes included intubation, discharge to a facility, and 30- and 90-day readmissions and mortality. Multilevel models calculated percent variation in each outcome due to hospital-to-hospital differences.

RESULTS

We included 29 150 beneficiaries. The median age was 68 years (interquartile range [IQR] = 57-78), and 18 084 (62%) were eligible for Medicare due to disability. The median (IQR) percentages of each outcome across hospitals were: 30-day mortality 25% (0%-38%), any 30-day readmission 14% (0%-25%), 30-day status epilepticus readmission 0% (0%-3%), 30-day facility stay 40% (25%-53%), and intubation 46% (20%-61%). However, after accounting for many hospitals with small sample size, hospital-to-hospital differences accounted for 2%-6% of variation in all unadjusted outcomes, and approximately 1%-5% (maximally 8% for 30-day readmission for status epilepticus) after adjusting for patient, hospitalization, and/or hospital characteristics. Although many characteristics significantly predicted outcomes, the largest effect size was cardiac arrest predicting death (odds ratio = 10.1, 95% confidence interval = 8.8-11.7), whereas hospital characteristics (e.g., staffing, accreditation, volume, setting, services) all had lesser effects.

SIGNIFICANCE

Hospital-to-hospital variation explained little variation in studied outcomes. Rather, certain patient characteristics (e.g., cardiac arrest) had greater effects. Interventions to improve outcomes after status epilepticus may be better focused on individual or prehospital factors, rather than at the inpatient systems level.

Six in ten female youths in low-income East African countries had problems in accessing health care: a multilevel analysis of recent demographic and health surveys from 2016-2021

BACKGROUND

Access to health care services is a basic human right, and an individual's health and overall quality of life may suffer as a result of barriers to accessing health services. Access to comprehensive and quality health care is fundamental for promoting and maintaining health, preventing and treating diseases, and reducing premature deaths. However, only half of the African population has access to modern health services. Therefore, this study aimed to assess the health care access and associated factors among female youths in low-income East African countries.

METHODS

This study used secondary data from 2016 to 2021 demographic and health surveys of 7 low-income East African countries. A total weighted sample of 51,064 youths was included. A multilevel binary logistic regression was employed to identify the associated factors of access to health care since the data has a hierarchical structure. Adjusted Odds Ratio (AOR) with a 95% confidence interval (CI) at a p-value less than 0.05 was used to measure the association of variables whereas Intra-class correlation coefficient (ICC), Median Odds Ratio (MOR), and proportional change in variance (PCV) were used to measure random effects.

RESULT

The overall magnitude of access to healthcare among female youths in low-income East African countries was 38.84% (95% CI: 38.41, 39.26). Youth's educational level, rich wealth status, media exposure, and community level education were the positive while higher youth's age and rural residence were the negative predictors of access to healthcare among female youths. Besides, living in different countries compared to Burundi was also an associated factor for accessing healthcare in low-income East African countries.

CONCLUSION

About six in ten female youths were not accessing health care in low-income East African countries. Therefore, to increase healthcare access, health managers and policymakers needed to develop strategies to improve the poor household wealth index, and redistribution of health services for rural residents. The decision-makers and program planners should also work on increasing access to education and media exposure for youths. Further research including health system and quality of service-related factors for accessing healthcare should also be considered by researchers.

Spatial distribution and associated factors of co-occurrence of overweight/obesity and Anemia among women in the reproductive age in sub-Saharan Africa: A multilevel analysis, DHS 2016-2021

BACKGROUND

Overweight/obesity is one of the major public health problems that affect both developed and developing nations. The co-occurrence of overweight/obesity and anemia is thought to be largely preventable if detected early. To date, no spatial analyses have been performed to identify areas of hotspots for the co-occurrence of overweight/obesity and anemia among reproductive women in sub-Saharan Africa. Therefore, this study aimed to assess the spatial distribution and associated factors of the co-occurrence of overweight/obesity and anemia among women of reproductive age.

METHODS

Data for the study were drawn from the Demographic and Health Survey, a nationally representative cross-sectional survey conducted in the era of Sustainable Development Goals, in which the World Health Assembly decided and planned to cease all forms of malnutrition by 2030. Seventeen sub-Saharan African countries and a total weighted sample of 108,161 reproductive women (15-49 years) were included in our study. The data extraction, recoding and analysis were done using STATA V.17. For the spatial analysis (autocorrelation, hot-spot and interpolation), ArcGIS version 10.7 software, and for the SaTScan analysis, SaTScan version 10.1 software was used. Descriptive statistics were presented using frequency tables and percentages. We employed multilevel logistic regression to investigate associated factors. In the multivariable analysis, variables with a p-value of ≤0.05 are considered as a significant factor associated with co-occurrence of overweight/obesity and anemia among women aged 15-49 years.

RESULTS

The overall co-occurrence of overweight/obesity and anemia among women in sub-Saharan Africa was 12% (95%CI: 9-14%). The spatial analysis revealed that the co-occurrence of overweight/obesity and anemia among women significantly varied across sub-Saharan Africa. (Global Moran's I = 0.583163, p<0.001). In the spatial window, the primary-cluster was located in Liberia, Guinea, Gambia, Sira Leon, Mauritania, Mali, Cameron and Nigeria with a Log-Likelihood Ratio (LRR) of 1687.30, and Relative Risk (RR) of 2.58 at a p-value < 0.001. In multilevel analysis, women aged 25-34 years (AOR = 1.91, 95%CI: 1.78, 2.04), women aged 35-49 years (AOR = 2.96, 95% CI: 2.76, 3.17), married (AOR = 1.36, 95% CI: 1.27, 1.46), widowed (AOR = 1.22, 95%CI: 1.06, 1.40), divorced (AOR = 1.36, 95% CI: 1.23, 1.50), media exposure (AOR = 1.31, 95%CI: 1.23, 1.39), middle income (AOR = 1.19, 95%CI: 1.11, 1.28), high income/rich (AOR = 1.36, 95%CI: 1.26, 1.46), not working (AOR = 1.13, 95% CI:1.07, 1.19), traditional contraceptive utilization (AOR = 1.39, 95%CI: 1.23, 1.58) and no contraceptive use (AOR = 1.27, 95%CI: 1.20, 1.56), and no health insurance coverage (AOR = 1.36, 95%CI: 1.25, 1.49), were individual level significant variables. From community-level variables urban residence (AOR = 1.61, 95%CI: 1.50, 1.73), lower middle-income country (AOR = 2.50, 95%CI: 2.34, 2.66) and upper middle-income country (AOR = 2.87, 95%CI: 2.47, 3.34), were significantly associated with higher odds of co-occurrence of overweight/ obesity and anemia.

CONCLUSION AND RECOMMENDATIONS

The spatial distribution of the co-occurrence of overweight/obesity and anemia was significantly varied across the sub-Saharan African country. Both individual and community-level factors were significantly associated with the co-occurrence of overweight/obesity and anemia. Therefore, public health programmers and other stalk holders who are involved in maternal healthcare should work together and give priority to hotspot areas of co-occurrence in sub-Saharan Africa.

Multilevel negative binomial analysis of factors associated with numbers of antenatal care contacts in low and middle income countries: Findings from 59 nationally representative datasets

BACKGROUND

Antenatal care (ANC) is one of the recommended interventions to reduce stillbirth, maternal, neonatal, and child mortality through early identification and management of pregnancy complications or pre-existing conditions. Although increasing number of ANC is a key priority of the 2016 WHO recommendations, ANC uptake in Low and Middle Income Countries (LMICs) is insufficient. Therefore, this study aimed to investigate factors associated with the number of ANC contacts in LMICs.

METHODS

Data for the study were drawn from 59 recent Demographic and Health Surveys (DHS) conducted in LMICS. We included a total sample of 520,377 mothers who gave birth in the five years preceding the survey. A multilevel negative binomial regression model was applied to identify factors that may affect number of ANC. Adjusted incidence rate ratios (AIRR) with 95% Confidence Interval (CI) were reported to show association.

RESULTS

This study found that mothers and their partner with higher educational attainment, mothers aged >35 years, mothers who had decision making autonomy, mothers from female headed household, mothers from richer and richest household, mothers exposed to media, and residing in urban areas had significantly more ANC contacts. However, number of ANC contacts were significantly lower among mothers who initiated ANC after 12 weeks of gestation and perceived healthcare access to be a big problem.

CONCLUSION

Our results suggest that individual, household, and community-level factors were associated with number of ANC contacts among pregnant mothers in LMICs. Hence, local and international policymakers, and programmers should focus on improving community awareness about maternal health care services through mass media and outreach programs with especial emphasis on women's and their partners educational attainment, rural mothers, women's empowerment, and household socioeconomic status.

Binge drinking associated with mean temperature: a cross-sectional study among Mexican adults living in cities

BACKGROUND

The association between environmental temperature and alcohol consumption has not been widely explored despite the potential that increasing temperatures could promote the consumption of alcoholic beverages and the alcohol-related burden of disease. We aimed to explore the association between temperature and binge drinking in Mexican adults from urban cities, overall, and by alcoholic beverage type.

METHODS

Data on 10,552 adults ≥ 18 years was obtained from the 2016 National Survey on Drug, Alcohol, and Tobacco Consumption. The mean annual temperature at the municipality was obtained from the Mexican National Weather Service using monthly temperatures from 2015 to 2016. We analyzed binge drinking for all alcoholic beverages in the last year and by type of alcohol as beer, liquor, wine, and coolers. Associations between mean temperature over the past year and binge drinking over the past year among current drinkers were estimated using multilevel Poisson models with robust standard errors adjusted for age, sex, education level, marital status, and household socioeconomic status, with a fixed effect by region.

RESULTS

We observed a non-significant increase in the prevalence of binge drinking for every difference of 1 °C between municipalities of the same region. By alcohol type, a 1 °C increase in mean annual temperature across municipalities of the same region increased the prevalence of beer binge drinking in the past year by 0.9% (PR = 1.009, 95%CI 1.005, 1.013) among beer consumers and the prevalence of coolers' binge drinking by 3.0% (PR = 1.030, 95%CI 1.003, 1.057) in coolers consumers. We observed non-significant results for liquor binge drinking (PR = 1.047, 95%CI 0.994, 1.102) and wine binge drinking (PR = 1.047, 95% 0.944, 1.161).

CONCLUSION

People living in municipalities with higher temperatures reported a higher beer binge drinking in Mexican cities. This could account for 196,000 cases of beer binge drinking in 2016. The context of each country needs to be considered when generalizing these findings, and they need to be further explored with longitudinal data as there might be implications for climate change. If our findings are confirmed given the forecasted rising temperatures, we could expect an increase in binge drinking and therefore, in the alcohol burden of disease.

Predictors of late initiation of breastfeeding practice in Ethiopia: a multilevel mixed-effects analysis of recent evidence from EDHS 2019

OBJECTIVES

To identify the predictors of late initiation of breastfeeding practice in Ethiopia.

DESIGN

Cross-sectional study design.

SETTING

Ethiopia.

PARTICIPANTS

A total of 1982 weighted samples of mothers with children aged under 24 months were included.

OUTCOME MEASURE

Late initiation of breastfeeding practice.

RESULTS

The prevalence of late breastfeeding initiation practice is 26.4% (95 CI 24.4 to 28.3). Being a young mother (15-24 years) (adjusted odds ratio (AOR) =1.66; 95 CI 1.06 to 2.62), no antenatal care (ANC) visit (AOR=1.45; 95 CI 1.04 to 2.02), caesarean section (AOR=4.79; 95 CI 3.19 to 7.21) and home delivery (AOR=1.53; 95 CI 1.14 to 2.06) were found to be the determinants of late initiation of breast feeding.

CONCLUSION

More than one-fourth of newborn children do not start breast feeding within the WHO-recommended time (first hour). Programmes should focus on promoting the health facility birth and increasing the ANC visits. Further emphasis should be placed on young mothers and those who deliver via caesarean section to improve the timely initiation of breast feeding.

Predictors of delayed initiation of breast milk and exclusive breastfeeding in Ethiopia: A multi-level mixed-effect analysis

BACKGROUND

Despite the well-established benefits of early initiation of breastfeeding and exclusive breastfeeding for the first six months to promote optimal neonatal and child health, evidence indicates that in Ethiopia, a significant number of newborns initiate breastfeeding late, do not adhere to exclusive breastfeeding (EBF) for the recommended duration, and instead are fed with bottles.

OBJECTIVE

To determine the proportion of delayed initiation of breast milk, exclusive breastfeeding, and its individual and community-level predictors among mothers in Ethiopia.

METHODS

A secondary data analysis was done using the 2019 Ethiopian Mini Demographic Health Survey data. We examined a weighted sample of 2,012 children born within the past 24 months and 623 children aged 0-5 months at the time of the survey. The data analysis was done using STATA version 15. To understand the variation in delayed initiation and exclusive breastfeeding, statistical measures such as the Intraclass correlation coefficient, median odds ratio, and proportional change in variance were calculated. We employed a multilevel mixed-effects logistic regression model to identify predictors for each outcome variable. Statistical significance was determined with a p-value < 0.05.

RESULTS

The proportion of delayed initiation of breast milk and exclusive breastfeeding were 24.56 and 84.5%, respectively. Women aged 34-49 years old (AOR = 0.33: 95% CI; 0.15-0.72), having a television in the house (AOR = 0.74: 95%CI; 0.33-0.97), delivered by cesarean section (AOR = 3.83: 95% CI; 1.57-9.32), and resided in the Afar regional state (AOR = 1.43: 95%CI; 1.03-12.7) were significantly associated with delayed initiation of breast milk. On the other hand, attended primary education (AOR = 0.67: 95%CI; 0.35-0.99), secondary education (AOR = 0.34: 95%CI; 0.19-0.53), women whose household headed by male (AOR = 0.68; 95% CI; 0.34-0.97), and rural residents (AOR = 1.98: 95%CI; 1.09-3.43) were significantly associated with exclusive breastfeeding practice.

CONCLUSION

Health promotion efforts that encourage timely initation of breast milk and promote EBF, focused on young mothers, those who gave birth through cesarean section, and those residing in urban and the Afar regional state. Furthermore, government health policymakers and relevant stakeholders should consider these identified predictors when revising existing strategies or formulating new policies.

Mapping socio-geographical disparities in the occurrence of teenage maternity in Colombia using multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA)

BACKGROUND

The prevalence of teenage pregnancy in Colombia is higher than the worldwide average. The identification of socio-geographical disparities might help to prioritize public health interventions.

AIM

To describe variation in the probability of teenage maternity across geopolitical departments and socio-geographical intersectional strata in Colombia.

METHODS

A cross-sectional study based on live birth certificates in Colombia. Teenage maternity was defined as a woman giving birth aged 19 or younger. Multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) was applied using multilevel Poisson and logistic regression. Two different approaches were used: (1) intersectional: using strata defined by the combination of health insurance, region, area of residency, and ethnicity as the second level (2) geographical: using geopolitical departments as the second level. Null, partial, and full models were obtained. General contextual effect (GCE) based on the variance partition coefficient (VPC) was considered as the measure of disparity. Proportional change in variance (PCV) was used to identify the contribution of each variable to the between-strata variation and to identify whether this variation, if any, was due to additive or interaction effects. Residuals were used to identify strata with potential higher-order interactions.

RESULTS

The prevalence of teenage mothers in Colombia was 18.30% (95% CI 18.20-18.40). The highest prevalence was observed in Vichada, 25.65% (95% CI: 23.71-27.78), and in the stratum containing mothers with Subsidized/Unaffiliated healthcare insurance, Mestizo, Rural area in the Caribbean region, 29.08% (95% CI 28.55-29.61). The VPC from the null model was 1.70% and 9.16% using the geographical and socio-geographical intersectional approaches, respectively. The higher PCV for the intersectional model was attributed to health insurance. Positive and negative interactions of effects were observed.

CONCLUSION

Disparities were observed between intersectional socio-geographical strata but not between geo-political departments. Our results indicate that if resources for prevention are limited, using an intersectional socio-geographical approach would be more effective than focusing on geopolitical departments especially when focusing resources on those groups which show the highest prevalence. MAIHDA could potentially be applied to many other health outcomes where resource decisions must be made.

Assessing postnatal care for newborns in Sub-Saharan Africa: A multinational analysis

BACKGROUND

No doubt providing optimal postnatal care (PNC) prevents both maternal and neonatal deaths, in addition to the prevention of long-term complications. Sub-Saharan Africa (SSA) had the highest neonatal mortality rate, despite this adequate content of PNC for the newborn is not explored in SSA, therefore, it is important to identify the factors affecting adequate content of PNC for the newborn in the region. This may assist the program and policymakers to give an intervention based on the findings of the study.

METHODS

A secondary data analysis was performed using 21 SSA countries' Demographic and Health Surveys. A total weighted sample of 105,904 respondents were included in this study. A multilevel binary logistic regression model was fitted. The odds ratios along with the 95% confidence interval were generated to determine the individual and community-level factors of adequate PNC for the newborn. A p-value less than 0.05 was declared as statistical significance.

RESULTS

Adequate PNC for newborns in sub-Saharan Africa was 23.51% (95% CI: 23.26, 23.77). Mothers age ≥ 35(AOR  =  1.21,95% CI: 1.06,1.16), mothers' primary education (AOR  = 1.18, 95% CI: 1.13, 1.23), secondary education (AOR  = 1.58, 95% CI:1.51,1.66), higher education (AOR  = 1.61,95% CI:1.49,1.75), rich wealth status (AOR  = 1.05,95% CI = 1.01,1.10), ANC visits 1-7 (AOR  = 1.61,95% CI:1.51, 1.73), antenatal care (ANC) visit 8 and above (AOR  = 2.54,95% CI: 2.32, 2.77), health facility delivery (AOR  = 4.37, 95% CI:4.16,4.58), lived in east (AOR = 0.23,95% CI = (0.20,0.26), central(AOR = 0.21,95% CI = 0.19,0.24), west African sub-regions (AOR = 0.23,95% CI = 0.21, 0.27), Urban dwellers (AOR = 1.22,95% CI: 1.17,1.27), and low community poverty (AOR = 1.21 (95% CI = 1.11,1.31) were associated with adequate content of PNC for the newborn.

CONCLUSION

The finding of this study showed that the overall prevalence of adequate content of PNC for a newborn in SSA countries was low. The low prevalence of adequate content of postnatal care for newborns in SSA countries is a concerning issue that requires immediate attention. Age of the respondents, level of education, wealth status, ANC visits, place of delivery, residence, community-level poverty, and sub-region of SSA were the individual-level and the community-level variables significantly associated with adequate PNC for the newborn. Strategies should focus on increasing access to antenatal care services, particularly for vulnerable populations, such as younger mothers, those with lower education levels, and individuals residing in impoverished communities to improve PNC for the newborn.

The paradox of pandemic mitigation? Moderating role of pandemic severity on the impact of social distancing policies: a cultural value perspective

BACKGROUND

Social distancing policies were of utmost importance during the early stages of the COVID-19 pandemic. These policies aimed to mitigate the severity of local outbreaks by altering public behavior. However, if the severity of the pandemic reduces, the impact of these policies on actual behavior may decrease. This study aims to examine, from a global perspective, whether the impact of social distancing policies on actual mobility is moderated by local pandemic severity and whether this moderating effect varies across cultural value contexts.

METHODS

We combined multiple publicly available global datasets for structural equation model analysis. 17,513 rows of data from 57 countries included in all databases were analyzed. Multilevel moderated moderation models were constructed to test the hypotheses.

RESULTS

More stringent policies in a region mean less regional mobility (β = -0.572, p < 0.001). However, the severity of local outbreaks negatively moderated this effect (β = -0.114, p < 0.001). When the pandemic was not severe, the influence of policy intensity on mobility weakened. Furthermore, based on Schwartz's cultural values theory, cultural values of autonomy (β = -0.109, p = 0.011), and egalitarianism (β = -0.108, p = 0.019) reinforced the moderating effect of pandemic severity. On the other hand, cultural values of embeddedness (β = 0.119, p = 0.006) and hierarchy (β = 0.096, p = 0.029) attenuated the moderating effect.

CONCLUSIONS

Social distancing policies aim to reduce the severity of local pandemics; however, the findings reveal that mitigating local pandemics may reduce their impact. Future policymakers should be alert to this phenomenon and introduce appropriate incentives to respond. The results also show that the moderating role of pandemic severity varies across cultures. When policies are promoted to deal with global crises, policymakers must seriously consider the resistance and potential incentives of cultural values.

The association between area-level factors and mortality in severe mental illnesses: A systematic review

BACKGROUND

Premature mortality is a well-documented adverse outcome for people living with severe mental illnesses (SMI). Emerging evidence suggests that area-level factors play a role that are experienced disproportionately by this population. This review assesses the potential association between area-level factors and mortality in people with SMI.

METHOD

We searched Medline, EMBASE, PsychINFO, Social Policy and Practice, Web of Science and OpenGrey databases. Literature searches were conducted in May 2020 and updated in June 2023. Reference lists were hand-searched and authors of included studies contacted to identify additional studies and minimise publication biases. Narrative synthesis was used to appraise the included studies. The review protocol was registered on PROSPERO (CRD42019155447).

RESULTS

Our searches identified 7 studies (8 papers), which were included in the review, and indicated evidence of an association between deprivation and mortality. One study suggested an association between mortality in SMI and urbanicity in low to middle income settings which was not observed in studies from high income settings. One study suggested a protective association of area-level ethnic density with mortality within urbanised settings.

CONCLUSION

Consistent associations were reported between residence in areas of higher deprivation and increased risk of mortality in SMI. Two studies suggested an association between area-level ethnic density and urbanicity and mortality in SMI. Most studies were conducted across high income countries and therefore future research could benefit from similar investigations being conducted in low- and middle-income countries. These methods would inform health and social policies, including interventions to reduce premature mortality in SMI.

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.

Trend and determinants of unmet need for family planning among married women in Ethiopia, evidence from Ethiopian demographic and health survey 2000-2016; multilevel analysis

BACKGROUND

Unmet need refers to the gap between women's desires and contraception use to monitor their fertility level. According to the data, unplanned pregnancies are more likely to result in miscarriage and other obstetric difficulties, have poor maternal health care usage, and have a higher risk of having babies who are underweight. Information on the trend of unmet family planning needs in Ethiopia is scarce. The aim of this study was to examine the trend and determinants of unmet need for family planning among married or in union women in Ethiopia from 2000 to 2016.

METHOD

Cross-sectional study design from secondary data was performed. Data for the study was obtained from four consecutive Ethiopian Demographic Health Surveys 2000 to 2016. The survey employs a nationally representative sample of households using a multistage stratified sampling technique. A descriptive analysis was done to see the trend in unmet need. Multivariable, multilevel logistic regression was performed to assess individual and community-level determinants. An adjusted odds ratio (AOR) at a 95% confidence interval and a p-value of 0.05 were used to declare the level of significance.

RESULT

Unmet need declined by 40.2%, from 37.3% to 22.3%, from 2000 to 2016. Rural (AOR = 1.42; 95% CI: 1.27-1.59), number of living children > = 5 (AOR = 1.14 (1.04-1.24), age at first marriage > = 18 years (AOR = 1.15; 95% CI: 1.09-1.21), knowing at least one method of Family Planning (FP) (AOR = 1.57; 95% CI: 1.43-1.72), and no previous use of FP (1.27 (1.20-1.36) were associated with increased unmet need. While women between the ages of 20 and 24 (AOR = 0.71; 95% CI: 0.64-0.79), 25-29 (AOR = 0.62; 95% CI: 0.55-0.70), 40-44 (AOR = 0.43; 95% CI: 0.39-0.50), 45-49 (AOR = 0.21; 95% CI: 0.18-0.24), the richest wealth index (AOR = 0.88; 95% CI: 0.80-0.96.

CONCLUSION

The level of unmet need has decreased significantly in Ethiopia over the past 16 years. Age, educational level, media exposure, number of living children, age at first marriage, parity, previous use of FP, knowledge of FP, wealth index, regional setting, residence (rural), and survey year all have an association with an unmet need for family planning.

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.

Prevalence and determinants of female genital amputation among adolescent girls and young women in Ethiopia: multilevel analysis

INTRODUCTION

Female genital amputation is a harmful traditional practice that has adverse risks on health outcomes. Consequently, it affects girls and women's physical, psychological, and mental health conditions. However, evidence on female genital amputation factors among adolescent girls and young women in Ethiopia was limited.

METHOD

Secondary data analysis was conducted from the 2016 Ethiopian Demographic and Health Survey. A weighted sample size included in this study was 2961 adolescent girls and young women. Data management and further analysis were performed using Stata 14 software. An adjusted odds ratio with a 95% confidence interval was used for measuring a significant relationship between factors with the outcome variable.

RESULT

This study found that the prevalence of female genital amputation among adolescent girls and young women in Ethiopia was 53.4%. Among individual- and community-level variables included in the multivariable multilevel analysis: maternal age, religious status, marital status, maternal educational level, occupational status, residence areas, community uneducated level, and community mass media were significant factors for female genital amputation.

CONCLUSION

The prevalence of female genital amputation among adolescent girls and young women in Ethiopia remains high. Those individual- and community-level factors influence female genital amputation among adolescent girls and young women in Ethiopia. It requires health interventions on female genital amputation to improve behavioral changes and create awareness about harmful practices.

Prevalence and factors associated with anemia in women of reproductive age across low- and middle-income countries based on national data

Anemia is a global threat among women of reproductive age (WRA), or 15-49 years old women, both in developed and developing countries. Prevalence of anemia in WRA is higher by fourfold in developing countries, based on extensive studies and surveys conducted by WHO and UNICEF. However, there is limited studies that conducted pooled analysis of anemia prevalence in low resource countries. This study aimed to assess the prevalence and factors associated with anemia among women of reproductive age in low- and middle-income countries (LMICs). This study used secondary data from the Demographic and Health Survey (DHS) in 46 low- and middle-income countries during 2010-2021. Descriptive statistics of proportions between pregnant and non-pregnant mothers were assessed. Multilevel binary logistic regression was used to test the factors associated with anemia among women of reproductive age. A total of 881,148 women of childbearing age in LMICs were included. This study found a high prevalence of 45.20% (95% CI 41.21, 49.16) of anemia was observed in among pregnant women and 39.52% (95% CI 33.88, 45.15) anemia was observed in non-pregnant women. Educational status, wealth status, family size, media exposure, and residence were common factors significantly associated with anemia in both pregnant and non-pregnant women. The high global burden of anemia in LMICs continues to underline the need for unusual approaches and target interventions on an individual basis. Global commitment and movement to reduce the prevalence of anemia need to be revisited and redesigned for current circumstances.

Spatial variation and factors associated of solid fuel use in Ethiopia a multilevel and spatial analysis based on EDHS 2016

Cooking and heating using solid fuels, such as dung, wood, agricultural residues, grass, straw, charcoal, and coal, is a main source of household air pollution. This indoor combustion encompasses a diversity of health detrimental pollutants, especially for people from low-income countries like Ethiopia since solid fuels are accessible easily at a lesser cost. Limited studies done showing factors affecting in choosing fuel type and no study, which revealed spatial heterogeneity of solid fuel used based on such nationally representative data. Therefore, this study, aimed at investigating spatial variation and determinants of solid fuel use in Ethiopia. This study was done using the data from the Ethiopian Demographic and Health Survey 2016, a national representative sample (16,650) households were included. Spatial and Multi-level logistic regression analysis was done by considering the DHS data hierarchal nature. Variables in the final model with a p-value < 0.05 were reported as significant predictors of using solid fuel. All analyses were done using ArcGIS V.10.7.1 and STATA V.14 software. The finding of this study revealed that 90.8% (95% CI (87.9%, 91.2%)) of households depend on solid fuel for cooking. Based on the final model ;Male household head (AOR 1.38, 95% CI (1.12-1.71)), age of household head (AOR 1.61, 95% CI (1.20, 2.17)), and 1.49 (OR 1.49, 95% CI (1.12, 1.99)) respectively for the age classes of < 30, and 30-40, education attainment no education (OR 3.14, 95% CI (1.13, 8.71)) and primary education (AOR 2.16, 95% CI (2.78, 5.96), wealth index Poorest (AOR 11.05, 95% CI (5.68, 15.78)), Poorer (OR 5.19, 95% CI (5.43, 13.19)), Middle (OR 3.08, 95% CI (2.44, 8.73)), and Richer (OR 1.30, 95IC (1.07, 13.49)) compared to richest, and not accessibility of electricity (AOR 31.21, 95% CI (35.41, 42.67)), were individual-level factors significantly associated with using solid fuel. Community-level factors like households found at large city (AOR 2.80, 95CI (1.65, 4.77)), small city (AOR 2.58, 95% CI (1.55, 4.32)) town (AOR 4.02, 95% CI (2.46, 6.55)), and countryside (AOR 14.40, 95% CI (6.23, 21.15)) compared households found in capital city, community level media exposure (AOR 6.00, 95% CI (4.61, 7.82)) were statistically predictors in using solid fuel for cooking. This finding revealed that a large proportion of households in Ethiopia heavily depend on biomass, especially wood, for cooking. There was a greater disparity on solid fuel use for cooking in Ethiopia. Implementing major policy interventions should be introduced to reduce solid fuel use for cooking and inequalities in accessing clean fuel in Ethiopia.

The contribution of active case detection to malaria elimination in Thailand

INTRODUCTION

Thailand's malaria surveillance system complements passive case detection with active case detection (ACD), comprising proactive ACD (PACD) methods and reactive ACD (RACD) methods that target community members near index cases. However, it is unclear if these resource-intensive surveillance strategies continue to provide useful yield. This study aimed to document the evolution of the ACD programme and to assess the potential to optimise PACD and RACD.

METHODS

This study used routine data from all 6 292 302 patients tested for malaria from fiscal year 2015 (FY15) to FY21. To assess trends over time and geography, ACD yield was defined as the proportion of cases detected among total screenings. To investigate geographical variation in yield from FY17 to FY21, we used intercept-only generalised linear regression models (binomial distribution), allowing random intercepts at different geographical levels. A costing analysis gathered the incremental financial costs for one instance of ACD per focus.

RESULTS

Test positivity for ACD was low (0.08%) and declined over time (from 0.14% to 0.03%), compared with 3.81% for passive case detection (5.62%-1.93%). Whereas PACD and RACD contributed nearly equal proportions of confirmed cases in FY15, by FY21 PACD represented just 32.37% of ACD cases, with 0.01% test positivity. Each geography showed different yields. We provide a calculator for PACD costs, which vary widely. RACD costs an expected US$226 per case investigation survey (US$1.62 per person tested) or US$461 per mass blood survey (US$1.10 per person tested).

CONCLUSION

ACD yield, particularly for PACD, is waning alongside incidence, offering an opportunity to optimise. PACD may remain useful only in specific microcontexts with sharper targeting and implementation. RACD could be narrowed by defining demographic-based screening criteria rather than geographical based. Ultimately, ACD can continue to contribute to Thailand's malaria elimination programme but with more deliberate targeting to balance operational costs.

Complete sources of cluster variation on the risk of under-five malaria in Uganda: a multilevel-weighted mixed effects logistic regression model approach

BACKGROUND

Malaria, a major cause of mortality worldwide is linked to a web of determinants ranging from individual to contextual factors. This calls for examining the magnitude of the effect of clustering within malaria data. Regrettably, researchers usually ignore cluster variation on the risk of malaria and also apply final survey weights in multilevel modelling instead of multilevel weights. This most likely produces biased estimates, misleads inference and lowers study power. The objective of this study was to determine the complete sources of cluster variation on the risk of under-five malaria and risk factors associated with under-five malaria in Uganda.

METHODS

This study applied a multilevel-weighted mixed effects logistic regression model to account for both individual and contextual factors.

RESULTS

Every additional year in a child's age was positively associated with malaria infection (AOR = 1.42; 95% CI 1.33-1.52). Children whose mothers had at least a secondary school education were less likely to suffer from malaria infection (AOR = 0.53; 95% CI 0.30-0.95) as well as those who dwelled in households in the two highest wealth quintiles (AOR = 0.42; 95% CI 0.27-0.64). An increase in altitude by 1 m was negatively associated with malaria infection (AOR = 0.98; 95% CI 0.97-0.99). About 77% of the total variation in the positive testing for malaria was attributable to differences between enumeration areas (ICC = 0.77; p < 0.001).

CONCLUSIONS

Interventions towards reducing the burden of under-five malaria should be prioritized to improve individual-level characteristics compared to household-level features. Enumeration area (EA) specific interventions may be more effective compared to household specific interventions.

Spatial multilevel analysis of age at death of under-5 children and associated determinants: EDHS 2000-2016

OBJECTIVE

This study examines trends, spatial distribution and determinants of age at death of under-5 children in Ethiopia.

DESIGN

This study used secondary data from the 2000, 2005, 2011 and 2016 Ethiopian Demographic and Health Surveys. A multilevel partial ordinal logistic regression model was used to assess the effects of variables on the age at death of children under 5 years.

SETTING

Ethiopia.

PARTICIPANTS

The final analysis included a sample of 3997 deaths of newborns, infants and toddlers.

RESULTS

A total of 1508, 1054, 830 and 605 deaths of under-5 children were recorded in the 2000, 2005, 2011 and 2016 survey years, respectively. The death of newborns, infants and toddlers showed a significant decrease from 2000 to 2016, with reductions of 33.3% to 17.4%, 42.4% to 12.6% and 45.2% to 11.6%, respectively. The analysis using Global Moran's Index revealed significant spatial autocorrelation in mortality for each survey year (p<0.05). The intraclass correlation of age at death of under-5 children within regions was substantial. Furthermore, the odds of newborn deaths among under-5 children (OR: 0.638, 95% CI: 0.535, 0.759) were lower for those delivered in health institutions compared with those delivered at home.

CONCLUSIONS

Throughout the survey years from 2000 to 2016, newborn children had higher mortality rates compared with infants and toddlers, and significant spatial variations were observed across different zones in Ethiopia. Factors such as child's sex, age of mother, religion, birth size, sex of household head, place of delivery, birth type, antenatal care, wealth index, spatial autocovariate, Demographic and Health Survey year, place of residence and region were found to be significant in influencing the death of under-5 children in Ethiopia. Overall, there has been a decreasing trend in the proportion of under-5 child mortality over the four survey years in Ethiopia.

Context, health and migration: a systematic review of natural experiments

Background

Migration health research pays little attention to the places into which people migrate. Studies on health effects of contextual factors are often limited because of the ability of individuals to self-select their environment, but natural experiments may allow for the causal effect of contexts to be examined. The objective was to synthesise the evidence on contextual health effects from natural experiments among migrant groups.

Methods

We performed a systematic review of natural experiments among migrant populations in PubMed/MEDLINE, The Cochrane Library, Web of Science, CINAHL and Google Scholar for literature published until 13 October 2022. 5870 articles were screened in duplicate using the following inclusion criteria: quantitative natural experiment design, migrant population, context factor as treatment variable and health or healthcare outcome variable. Synthesis without meta-analysis was performed following quality appraisal using the EPHPP tool for quantitative studies and data extraction (PROSPERO: CRD42020169236).

Findings

The 46 included articles provide evidence for negative effects of neighbourhood disadvantage on physical health and mortality, while finding mixed effects on mental health. Articles comparing migrants with those that stayed behind demonstrate detrimental effects of migration and adverse post-migratory contexts on physical health and mortality, while demonstrating favourable effects for mental and child health. Natural experiments of policy environments indicate the negative impacts of restrictive migration and social policies on healthcare utilization, mental health and mortality, as well as the positive health effects when restrictions are lifted.

Interpretation

Natural experiments complement observational studies and provide robust evidence to advocate for more inclusive migration, health and social policies as well as neighbourhood improvement programmes. In order to strengthen the methodological approach, future research utilising natural experiments should be more explicit in the mechanisms underlying the experiment and provide details on potential causal mechanisms for the observed effects.

Funding

German Science Foundation (FOR: 2928/GZ: BO5233/1-1).

Trends and determinants of place of death among Chinese lymphoma patients: a population-based study from 2013-2021

Limited research exists on factors influencing the place of death (POD) or hospital deaths among lymphoma patients in China, despite the country's significant burden of lymphoid neoplasms. This study aimed to describe the distribution of POD among lymphoma patients and identify the factors associated with hospital lymphoma deaths to provide evidence for developing targeted healthcare policies. Data in this study were obtained from the National Mortality Surveillance System (NMSS). The distribution of POD among individuals who died from lymphoma was analyzed, and factors influencing the choice of dying in the hospital were examined. Chi-square test was employed to analyze the differences in characteristic distributions. Multilevel logistic regression analysis was identify the relationship between hospital deaths due to lymphoma and individual factors, as well as socioeconomic contextual variables. During 2013-2021, there were 66772 lymphoma deaths reported by the NMSS, including 44327 patients (66.39%) who died at home and 21211 (31.77%) died in the hospital. Female patients, those had a higher level of educational attainment, retired individuals, those died of non-Hodgkin lymphoma, residents of urban areas, patients between the ages of 0 and 14, and unmarried individuals had a higher probability of dying in hospitals. Improving health care providers' understanding of palliative care for cancer patients and prioritizing accessible services are essential to enhance the quality of end-of-life care. These approaches ensure the equitable allocation of healthcare resources and provide diverse options for minorities with specific preferences regarding end-of-life care.

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.

Assessing Patient and Community-Level Social Factors; The Synergistic Effect of Social Needs and Social Determinants of Health on Healthcare Utilization at a Multilevel Academic Healthcare System

We investigated the role of both individual-level social needs and community-level social determinants of health (SDOH) in explaining emergency department (ED) utilization rates. We also assessed the potential synergies between the two levels of analysis and their combined effect on patterns of ED visits. We extracted electronic health record (EHR) data between July 2016 and June 2020 for 1,308,598 unique Maryland residents who received care at Johns Hopkins Health System, of which 28,937 (2.2%) patients had at least one documented social need. There was a negative correlation between median household income in a neighborhood with having a social need such as financial resource strain, food insecurity, and residential instability (correlation coefficient: -0.05, -0.01, and - 0.06, p = 0, respectively). In a multilevel model with random effects after adjusting for other factors, living in a more disadvantaged neighborhood was found to be significantly associated with ED utilization statewide and within Baltimore City (OR: 1.005, 95% CI: 1.003-1.007 and 1.020, 95% CI: 1.017-1.022, respectively). However, individual-level social needs appeared to enhance the statewide effect of living in a more disadvantaged neighborhood with the OR for the interaction term between social needs and SDOH being larger, and more positive, than SDOH alone (OR: 1.012, 95% CI: 1.011-1.014). No such moderation was found in Baltimore City. To our knowledge, this study is one of the first attempts by a major academic healthcare system to assess the combined impact of patient-level social needs in association with community-level SDOH on healthcare utilization and can serve as a baseline for future studies using EHR data linked to population-level data to assess such synergistic association.

Identifying groups of children's social mobility opportunity for public health applications using k-means clustering

Background

The Opportunity Atlas project is a pioneering effort to trace social mobility and adulthood socioeconomic outcomes back to childhood residence. Half of the variation in adulthood socioeconomic outcomes was explainable by neighborhood-level socioeconomic characteristics during childhood. Clustering census tracts by Opportunity Atlas characteristics would allow for further exploration of variance in social mobility. Our objectives here are to identify and describe spatial clustering trends within Opportunity Atlas outcomes.

Methods

We utilized a k-means clustering machine learning approach with four outcome variables (individual income, incarceration rate, employment, and percent of residents living in a neighborhood with low levels of poverty) each given at five parental income levels (1st, 25th, 50th, 75th, and 100th percentiles of the national distribution) to create clusters of census tracts across the contiguous United States (US) and within each Environmental Protection Agency region.

Results

At the national level, the algorithm identified seven distinct clusters; the highest opportunity clusters occurred in the Northern Midwest and Northeast, and the lowest opportunity clusters occurred in rural areas of the Southwest and Southeast. For regional analyses, we identified between five to nine clusters within each region. PCA loadings fluctuate across parental income levels; income and low poverty neighborhood residence explain a substantial amount of variance across all variables, but there are differences in contributions across parental income levels for many components.

Conclusions

Using data from the Opportunity Atlas, we have taken four social mobility opportunity outcome variables each stratified at five parental income levels and created nationwide and EPA region-specific clusters that group together census tracts with similar opportunity profiles. The development of clusters that can serve as a combined index of social mobility opportunity is an important contribution of this work, and this in turn can be employed in future investigations of factors associated with children's social mobility.

Integrating the rights-based and capability approaches in the analysis of maternal healthcare utilization in sub-Saharan Africa: A multilevel modelling study

The rights-based and capability approaches received increased attention relative to maternal health in the aftermath of the 2015 Millennium Development Goals (MDGs). This may be in view of the sub-optimal progress gained in reducing maternal and child mortality, especially in developing countries. Despite the combined potential of these approaches, there are limited empirical studies testing their viability in aiding our understanding of maternal healthcare utilization in developing countries. This is what this study sought to accomplish. We combined several datasets, including the Demographic Health Surveys (DHS), World Development Indicators, the World Governance Indicators and Freedom House. Bayesian multilevel logistic regression models were applied on three indicators of maternal healthcare utilization (antenatal care visits, institutional delivery, and postnatal check-ups) in relation to selected variables representing right-based and capability approaches. After controlling for relevant individual and community-level factors, the results show that living in countries with high freedom status (POR = 1.19) and higher female secondary school enrolments (POR = 1.54) increases the odds of adequate antenatal care. Residence in countries with high freedom status (POR = 1.33) and higher voice and accountability (POR = 1.72) has a positive influence on institutional delivery. Similar results are reported for postnatal care where country freedom status (POR = 1.89), voice and accountability (POR = 1.25) and female school enrolment (POR = 1.41) are significant predictors. The results imply that the rights-based and capability approaches have the potential to enhance maternal healthcare utilization in sub-Saharan Africa. Therefore, policy strategies emphasizing on freedoms, accountability, and individual capability functionings should be encouraged in the pursuit of partly achieving Sustainable Development Goals (SDG) number 3.

Spatial distribution of delayed initiation of antenatal care visits and associated factors among reproductive age women in Ethiopia: spatial and multilevel analysis of 2019 mini-demographic and health survey

OBJECTIVES

This study aimed to assess the spatial distribution, wealth-related inequality and determinants for delayed initiation of antenatal care (ANC) visits among reproductive-age women in Ethiopia.

DESIGN

Cross-sectional study design.

SETTING

Ethiopia.

PARTICIPANTS

A total of 2924 reproductive-age women who had given birth in the 5 years preceding the survey.

OUTCOME MEASURE

Delayed initiation of ANC visits.

RESULTS

The magnitude of delayed initiation of ANC visits among reproductive-age women in Ethiopia was 62.63% (95% CI 60.86%, 64.37%). Women aged 35-49 (AOR=1.42; 95% CI 1.04, 1.94), being protestant religion followers (AOR=1.43; 95% CI 1.06, 1.94), being in higher wealth index (AOR=0.53; 95% CI 0.41, 0.69), living in rural residence (AOR=1.50; 95% CI 1.02, 2.19) and living in the metropolitan region (AOR=0.45; 95% CI 0.26, 0.77) were significantly associated with delayed initiation of ANC visit. Southern Nations Nationalities and Peoples Region (SNNPR), Somalia, Benishangul Gumuz, Southern Addis Ababa and Gambella regions were hot spot regions for delayed initiation of ANC visits. The SaTScan analysis result identified 107 primary clusters of delayed initiation of ANC visits located in regions of SNNPR, Gambella, Southern Addis Ababa, Eastern Oromia and Benishangul Gumuz.

CONCLUSIONS

Significant spatial clustering of delayed initiation of ANC visits was observed in Ethiopia. More than half of women had delayed initiation of ANC visits in Ethiopia. Women's age, religion, wealth index, residence and region were significant predictors of delayed initiation of ANC visits. There is a disproportional pro-poor distribution of delayed initiation of ANC visits in Ethiopia. Therefore, interventions should be designed in the hot spot areas where delayed initiation of ANC visits was high to enhance the timely initiation of ANC visits.

Unravelling the determinants of medical practice variation in referrals among primary care physicians: insights from a retrospective cohort study in Southern Israel

OBJECTIVES

Reducing medical practice variation (MPV) is a central theme of system improvement because it is associated with poor health outcomes, increased costs and disparities in care. This study aimed to estimate the extent to which each determinant (patient, physician, clinic) explains MPV among primary care physicians and to identify the characteristics of health services with a greater explained variance.

METHODS

A retrospective cohort study of primary care physicians practising in non-private clinics of Clalit Health Services in Southern Israel, for longer than a year between 2011 and 2017 and with more than 100 adult patients per practice. We assessed the variation in referral rates among 17 health services and the proportion explained by each domain (patient, physician and clinic). We used generalised linear negative binomial mixed models and the Nakagawa's R2, computing the marginal r2.

RESULTS

The study included 243 physicians working in 295 practices and 139 clinics. The mean-explained variance was 28.5%±10.0%, where physician characteristics explained 4.5% of the variation. The intrapractice variation (within a single physician between the years) was explained better than the interphysician (between physicians). Health services with high explained variation were blood tests characterised by both low intrapractice variation (Rs=-0.65, p value=0.005) and high referral rates (Rs=0.46, p value=0.06).

CONCLUSION

Over 70% of MPV is not explained by the patient, clinic and physician demographic and professional characteristics. Future research should focus on the fraction of MPV that is explained by the physicians' psychological characteristics, and thus potentially identify psychological targets for behavioural modifications aimed at reducing MPV.

Beyond the surface: accounting for confounders in understanding the link between collectivism and COVID-19 pandemic in the United States

According to the parasite-stress theory, collectivism serves as a trait of ingroup assortative sociality, providing defense against infectious diseases. This study investigated the association between cultural collectivism and COVID-19 severity at the state (Study 1: N = 51), county (Study 2: N = 3,133), and daily (Study 3: N = 52,806) levels from the beginning of 2020 to the end of 2022. State-level collectivism was assessed using two distinct measures: the U.S. collectivism index, focusing on social interconnectedness and interdependence, and the subjective-culture individualism-collectivism index (reversed), capturing attitudes and beliefs related to religion, abortion, and same-sex marriage. By employing random-intercept multilevel models, the results demonstrated significant and negative effects of state-level collectivism, as measured by the U.S collectivism index, on COVID-19 cases per million, COVID-19 deaths per million, and composite COVID-19 severity index, after controlling for confounding factors, such as socioeconomic development, ecological threats, disease protective behaviors, cultural norms, and political influences. A mini meta-analysis (Study 4: N = 9) confirmed the significance of these effects across studies. These findings supported the proactive role of collectivism in defending against the novel coronavirus in the United States, aligning with the parasite-stress theory of sociality. However, the subjective-culture individualism-collectivism index (reversed) did not exhibit a significant relationship with COVID-19 severity when confounding factors were considered. The high correlation between the subjective-culture individualism-collectivism index (reversed) and the controlled variables suggested shared variance that could diminish its impact on COVID-19 outcomes. Accordingly, the present findings underscore the significance of accounting for confounding factors when examining the association between collectivism and COVID-19 severity at population level. By considering relevant confounding factors, researchers could gain a comprehensive understanding of the complex interplay between cultural collectivism and its influence on COVID-19 severity. Overall, this research contributes to our understanding of how cultural collectivism shapes the COVID-19 pandemic in the United States, emphasizing the importance of adjusting for confounding effects in population level studies.