The quality of routine data for measuring facility-based maternal mortality in public and private health facilities in Kampala City, Uganda.

BACKGROUND: Routine health facility data are an important source of health information in resource-limited settings. Regular quality assessments are necessary to improve the reliability of routine data for different purposes, including estimating facility-based maternal mortality. This study aimed to assess the quality of routine data on deliveries, livebirths and maternal deaths in Kampala City, Uganda. METHODS: We reviewed routine health facility data from the district health information system (DHIS2) for 2016 to 2021. This time period included an upgrade of DHIS2, resulting in two datasets (2016-2019 and 2020-2021) that were managed separately. We analysed data for all facilities that reported at least one delivery in any of the six years, and for a subset of facilities designated to provide emergency obstetric care (EmOC). We adapted the World Health Organization data quality review framework to assess completeness and internal consistency of the three data elements, using 2019 and 2021 as reference years. Primary data were collected to verify reporting accuracy in four purposively selected EmOC facilities. Data were disaggregated by facility level and ownership. RESULTS: We included 255 facilities from 2016 to 2019 and 247 from 2020 to 2021; of which 30% were EmOC facilities. The overall completeness of data for deliveries and livebirths ranged between 53% and 55%, while it was < 2% for maternal deaths (98% of monthly values were zero). Among EmOC facilities, completeness was higher for deliveries and livebirths at 80%; and was < 6% for maternal deaths. For the whole sample, the prevalence of outliers for all three data elements was < 2%. Inconsistencies over time were mostly observed for maternal deaths, with the highest difference of 96% occurring in 2021. CONCLUSIONS: Routine data from childbirth facilities in Kampala were generally suboptimal, but the quality was better in EmOC facilities. Given likely underreporting of maternal deaths, further efforts to verify and count all facility-related maternal deaths are essential to accurately estimate facility-based maternal mortality. Data reliability could be enhanced by improving reporting practices in EmOC facilities and streamlining reporting processes in private-for-profit facilities. Further qualitative studies should identify critical points where data are compromised, and data quality assessments should consider service delivery standards.

Deprivation and Its Association with Child Health and Nutrition in the Greater Kampala Metropolitan Area of Uganda.

African cities are experiencing increasing living standard disparities with limited evidence of intra-urban health disparities. Using data from the 2006-2016 Uganda Demographic and Health Surveys, we employed the UN-Habitat definition to examine slum-like household conditions in the Greater Kampala Metropolitan Area (GKMA). Subsequently, we developed a slum-like severity index and assessed its association with under-5 common morbidities and healthcare access. We also assessed the characteristics of people in slum-like household conditions. We identified five slum-like conditions: substandard housing conditions, limited water access, overcrowding, unclean cooking fuel, and limited toilet access. By 2016, 67% of GKMA households were classified as slum-like conditions, including 31% in severe conditions. Limited toilet access, overcrowding, and limited water access were the main forms of deprivation.Living in slum-like household conditions correlated with lower education levels, youth status, unprofessional jobs, and marriage. Compared to neighboring Kampala city urban outskirts, Kampala city households had lower slum-like prevalence. Children in GKMA living in slum-like household conditions were more likely to experience diarrhea (moderate: OR = 1.21[95% CI: 1.05-1.39], severe: OR = 1.47 [95% CI: 1.27-1.7]); fever (moderate: OR = 2.67 [95% CI: 1.23-5.8], severe: OR = 3.09 [95% CI: 1.63-5.85]); anemia (moderate: OR = 1.18 [95% CI: 0.88-1.58], severe: OR = 1.44 [95% CI: 1.11-1.86]); and stunting (moderate: OR = 1.23 [95% CI: 1.23-1.25], severe: OR = 1.40 [95% CI: 1.41-1.47]) compared to those living in less slum-like conditions. However, seeking treatment for fever was less likely in slum-like household conditions, and the association of slum-like household conditions with diarrhea was insignificant. These findings underscore the precarious urban living conditions and the need for targeted health interventions addressing the social determinants of health in urban settings.

Effect of community - facility linked interventions on maternal health service utilization and newborn care in rural low-resource settings in Eastern Uganda.

BACKGROUND: Improving maternal and newborn care (MNC) in hard-to-reach areas is essential for accelerating progress towards sustainable development goals (SDGs). We implemented the "Communities in which Mothers and Newborns Thrive (COMONETH) project" in rural settings of eastern Uganda between 2017 and 2020 to reduce barriers to accessing MNC services. We evaluated the effect of the COMONETH intervention on enhancing the utilization of MNC services and the adoption of appropriate care practices in Luuka district, Uganda. METHODS: We used a pre- and post-comparison design to measure the effect of a demand-supply linked COMONETH intervention on MNC indicators. We trained Community Health Workers (CHW) to educate and refer expectant mothers to health facilities when needed. We also showed videos to pregnant women on identification of pregnancy danger signs, mentored and simulated health workers with PRONTO, and improved obstetric surgery at the referral facilities. We assessed antenatal care (ANC), facility delivery, postnatal care (PNC), and newborn care practices. We used optimal full propensity score matching, and weighted logistic regression and then estimated average treatment effect on the treated (ATT) of the intervention on MNC outcomes on the odds ratio scale. RESULTS: A total of 583 women at baseline and 619 at endline participated in the study. The intervention was associated with increased odds of attending 4 ANC visits (OR = 1.26, 95% CI = 1.07-1.49), 8 ANC visits (OR = 2.27, 95% CI = 1.06-4.82) and utilization of PNC services (OR = 1.40, 95% CI = 1.20-1.63). We did not observe a significant association between intervention and early ANC attendance (OR = 0.88, 95% CI 0.80-1.00) and facility deliveries (OR = 0.99, 95% CI = 0.93-1.06). The intervention strategy was associated with improvements in practices: delayed bathing (OR = 1.22, 95% CI = 1.06-1.40), putting nothing on the cord (OR = 1.42, 95% CI = 1.27-1.59) and wrapping of babies immediately (OR = 1.08, 95% CI = 1.03-1.14). CONCLUSIONS: The findings demonstrated the potential of a demand-supply linked intervention to improve MNC outcomes in low-resource settings and should be promoted in similar settings. Interventions that strengthen the quality of care at health facilities and bridge demand-side gaps can improve MNC practices and reduce morbidity and mortality in rural settings.

Equity in vaccine coverage in Uganda from 2000 to 2016: revealing the multifaceted nature of inequity.

BACKGROUND: This study analyses vaccine coverage and equity among children under five years of age in Uganda based on the 2016 Uganda Demographic and Health Survey (UDHS) dataset. Understanding equity in vaccine access and the determinants is crucial for the redress of emerging as well as persistent inequities. METHODS: Applied to the UDHS for 2000, 2006, 2011, and 2016, the Vaccine Economics Research for Sustainability and Equity (VERSE) Equity Toolkit provides a multivariate assessment of immunization coverage and equity by (1) ranking the sample population with a composite direct unfairness index, (2) generating quantitative measure of efficiency (coverage) and equity, and (3) decomposing inequity into its contributing factors. The direct unfairness ranking variable is the predicted vaccination coverage from a logistic model based upon fair and unfair sources of variation in vaccination coverage. Our fair source of variation is defined as the child's age - children too young to receive routine immunization are not expected to be vaccinated. Unfair sources of variation are the child's region of residence, and whether they live in an urban or rural area, the mother's education level, the household's socioeconomic status, the child's sex, and their insurance coverage status. For each unfair source of variation, we identify a "more privileged" situation. RESULTS: The coverage and equity of the Diphtheria-Pertussis-Tetanus vaccine, 3rd dose (DPT3) and the Measles-Containing Vaccine, 1st dose (MCV1) - two vaccines indicative of the health system's performance - improved significantly since 2000, from 49.7% to 76.8% and 67.8% to 82.7%, respectively, and there are fewer zero-dose children: from 8.4% to 2.2%. Improvements in retaining children in the program so that they complete the immunization schedule are more modest (from 38.1% to 40.8%). Progress in coverage was pro-poor, with concentration indices (wealth only) moving from 0.127 (DPT3) and 0.123 (MCV1) in 2000 to -0.042 and -0.029 in 2016. Gains in overall equity (composite) were more modest, albeit significant for most vaccines except for MCV1: concentration indices of 0.150 (DPT3) and 0.087 (MCV1) in 2000 and 0.054 and 0.055 in 2016. The influence of the region and settings (urban/rural) of residence significantly decreased since 2000. CONCLUSION: The past two decades have seen significant improvements in vaccine coverage and equity, thanks to the efforts to strengthen routine immunization and ongoing supplemental immunization activities such as the Family Health Days. While maintaining the regular provision of vaccines to all regions, efforts should be made to alleviate the impact of low maternal education and literacy on vaccination uptake.

Household preferences and willingness to pay for health insurance in Kampala City: a discrete choice experiment.

INTRODUCTION: Uganda is in discussions to introduce a national health insurance scheme. However, there is a paucity of information on household preferences and willingness to pay for health insurance attributes that may guide the design of an acceptable health insurance scheme. Our study sought to assess household preferences and willingness to pay for health insurance in Kampala city using a discrete choice experiment. METHODS: This study was conducted from 16th February 2020 to 10th April 2020 on 240 households in the Kawempe division of Kampala city stratified into slum and non-slum communities in order to get a representative sample of the area. We purposively selected the communities that represented slum and non-slum communities and thereafter applied systematic sampling in the selection of the households that participated in the study from each of the communities. Four household and policy-relevant attributes were used in the experimental design of the study. Each respondent attended to 9 binary choice sets of health insurance plans that included one fixed choice set. Data were analyzed using mixed logit models. RESULTS: Households in both the non-slum and slum communities had a high preference for health insurance plans that included both private and public health care providers as compared to plans that included public health care providers only (non-slum coefficient ß = 0.81, P < 0.05; slum ß = 0.87, p < 0.05) and; health insurance plans that covered extended family members as compared to plans that had limitations on the number of family members allowed (non-slum ß = 0.44, P < 0.05; slum ß = 0.36, p < 0.05). Households in non-slum communities, in particular, had a high preference for health insurance plans that covered chronic illnesses and major surgeries to other plans (0.97 ß, P < 0.05). Our findings suggest that location of the household influences willingness to pay with households from non-slum communities willing to pay more for the preferred attributes. CONCLUSION: Potential health insurance schemes should consider including both private and public health care providers and allow more household members to be enrolled in both slum and non-slum communities. However, the inclusion of more HH members should be weighed against the possible depletion of resources and other attributes. Potential health insurance schemes should also prioritize coverage for chronic illnesses and major surgeries in non-slum communities, in particular, to make the scheme attractive and acceptable for these communities.

Can routine health facility data be used to monitor subnational coverage of maternal, newborn and child health services in Uganda?

BACKGROUND: Routine health facility data are a critical source of local monitoring of progress and performance at the subnational level. Uganda has been using district health statistics from facility data for many years. We aimed to systematically assess data quality and examine different methods to obtain plausible subnational estimates of coverage for maternal, newborn and child health interventions. METHODS: Annual data from the Uganda routine health facility information system 2015-2019 for all 135 districts were used, as well as national surveys for external comparison and the identification of near-universal coverage interventions. The quality of reported data on antenatal and delivery care and child immunization was assessed through completeness of facility reporting, presence of extreme outliers and internal data consistencies. Adjustments were made when necessary. The denominators for the coverage indicators were derived from population projections and health facility data on near-universal coverage interventions. The coverage results with different denominators were compared with the results from household surveys. RESULTS: Uganda's completeness of reporting by facilities was near 100% and extreme outliers were rare. Inconsistencies in reported events, measured by annual fluctuations and between intervention consistency, were common and more among the 135 districts than the 15 subregions. The reported numbers of vaccinations were improbably high compared to the projected population of births or first antenatal visits - and especially so in 2015-2016. There were also inconsistencies between the population projections and the expected target population based on reported numbers of antenatal visits or immunizations. An alternative approach with denominators derived from facility data gave results that were more plausible and more consistent with survey results than based on population projections, although inconsistent results remained for substantive number of subregions and districts. CONCLUSION: Our systematic assessment of the quality of routine reports of key events and denominators shows that computation of district health statistics is possible with transparent adjustments and methods, providing a general idea of levels and trends for most districts and subregions, but that improvements in data quality are essential to obtain more accurate monitoring.

Examining the recent trends in adolescent sexual and reproductive health in five countries of sub-Saharan Africa based on PMA and DHS household surveys.

BACKGROUND: The annual collection of fertility, marriage, sexual behaviour, and contraceptive use data in the nationally representative rounds of Performance Monitoring and Accountability (PMA) surveys in sub-Saharan Africa may contribute to the periodic monitoring of adolescent sexual and reproductive health (ASRH). However, we need to understand the reliability of these data in monitoring the ASRH indicators. We assessed the internal and external consistencies in ASRH indicators in five countries. METHODS: We included countries with at least three nationally representative rounds of PMA surveys and two recent DHS: Ethiopia, Ghana, Kenya, Nigeria, and Uganda. Our analysis focused on four current status indicators of ASRH among girls 15-19 years: ever had sex, currently married, has given birth or currently pregnant, and currently using modern contraceptives among sexually active unmarried girls. We compared the PMA survey and DHS data and tested for statistical significance and assessed trends over time using Jonckheere-Terpstra test statistic. RESULTS: PMA and DHS survey methodologies were similar and, where there were differences, these were shown to have minimal impact on the indicator values. The comparison of the data points from PMA and DHS for the same years showed statistically significant differences in 12 of the 20 comparisons, which was most common for sexual behaviour (4/5) and least for contraceptive use (2/5). This is partly due to larger confidence intervals in both surveys. The time trends were consistent between the annual PMA surveys in most instances in Ethiopia, Kenya, and Nigeria but less so for Ghana and Uganda. However, both surveys highlight slow progress in adolescent and reproductive health indicators with major disparities between the countries. CONCLUSIONS: Despite the differences between PMA 2020 surveys and DHS surveys conducted in the same year, and inconsistencies of the PMA survey time series for several indicators in some countries, we found no systematic issues with PMA surveys and consider PMA surveys a valuable data source for the assessment of levels and trends of ASRH beyond contraceptive use and family planning for indicators of fertility, marriage, and sex among adolescent girls in sub-Saharan Africa.

Assessment of a novel scanner-supported system for processing of child health and immunization data in Uganda.

BACKGROUND: Electronic data capturing has the potential to improve data quality and user-friendliness compared to manually processed, paper-based documentation systems. The MyChild system uses an innovative approach to process immunization data by employing detachable vouchers integrated into a vaccination booklet which are then scanned and converted into individual-level health data. The aim was to evaluate the MyChild data capturing system by assessing the proportion of correctly processed vouchers and to compare the user-friendliness in term of time spent on documentation and health worker experiences with the standard health information system at health facilities in Uganda. METHODS: We used a mixed method approach. Documented data were manually copied and compared to processed health records to calculate the proportion of correctly registered vouchers. To compare time spend on documentation we did a continuous observational time-motion study and analyzed data using a Mann-Whitney U test. Semi-structured interviews were conducted to assess health workers' experiences and analyzed using conventional content analysis. Data was collected in 14 health facilities in two districts in Uganda using different systems. RESULTS: The MyChild system processed 97% (224 of 231) of the vouchers correctly. Recording using the MyChild system increased time spend on documentation of vaccination follow-up visits by 24 s compared to the standard system (02:25 vs. 02:01 min/child, Mann-Whitney U = 6293, n1 = 115, n2 = 151, p < 0.001 two-tailed, Z = - 3.861, r = 0.186). However, high variance between health centers using the same health information system suggests that documentation time differences can be attributed to other factors than the way information was processed. Health workers perceived both health management information systems as predominantly functional and easy to use, while the MyChild system achieved a higher level of satisfaction. CONCLUSIONS: The MyChild system electronically processes individual-level immunization data correctly without increasing significantly time spent on recording and is appreciated by health providers making it a potential solution to overcome shortcomings of present paper-based health information systems in health centers.

Applying the model of diffusion of innovations to understand facilitators for the implementation of maternal and neonatal health programmes in rural Uganda.

In Uganda, more than 336 out of every 100,000 women die annually during childbirth. Pregnant women, particularly in rural areas, often lack the financial resources and means to access health facilities in a timely manner for quality antenatal, delivery, and post-natal services. For nearly the past decade, the Makerere University School of Public Health researchers, through various projects, have been spearheading innovative interventions, embedded in implementation research, to reduce barriers to access to care. In this paper, we describe two of projects that were initially conceived to tackle the financial barriers to access to care - through a voucher program in the community - on the demand side - and a series of health systems strengthening activities at the district and facility level - on the supply side. Over time, the projects diverged in the content of the intervention and the modality in which they were implemented, providing an opportunity for reflection on innovation and scaling up. In this short report, we used an adaptation of Greenhalgh's Model of Diffusion to reflect on these projects' approaches to implementing innovative interventions, with the ultimate goal of reducing maternal and neonatal mortality in rural Uganda. We found that the adapted model of diffusion of innovations facilitated the emergence of insights on barriers and facilitators to the implementation of health systems interventions. Health systems research projects would benefit from analyses beyond the implementation period, in order to better understand how adoption and diffusion happen, or not, over time, after the external catalyst departs.

A structural equation analysis on the relationship between maternal health services utilization and newborn health outcomes: a cross-sectional study in Eastern Uganda.

BACKGROUND: Neonatal and maternal health services have a bearing on neonatal mortality. Direct and indirect factors affecting neonatal health outcomes therefore require understanding to enable well-targeted interventions. This study, therefore, assessed the interrelationship between newborn health outcomes and maternal service utilization factors. METHODS: We investigated maternal health utilization factors using health facility delivery and at least four Antenatal Care (ANC) visits; and newborn health outcomes using newborn death and low birth weight (LBW). We used data from a household cross-sectional survey that was conducted in 2015 in Kamuli, Pallisa and Kibuku districts. We interviewed 1946 women who had delivered in the last 12 months. The four interrelated (Endogenous) outcomes were ANC attendance, health facility delivery, newborn death, and LBW. We performed analysis using a structural equation modeling technique. RESULTS: A history of newborn death (aOR = 12.64, 95% CI 5.31-30.10) and birth of a LBW baby (aOR = 3.51, 95% CI 1.48-8.37) were directly related to increased odds of newborn death. Factors that reduced the odds of LBW as a mediating factor for newborn death were ANC fourth time attendance (aOR = 0.62, 95% CI 0.45-0.85), having post-primary level education (aOR = 0.68, 95% CI 0.46-0.98) compared to none and being gravida three (aOR = 0.49, 95% CI 0.26-0.94) compared to being gravida one. Mother's age group, 20-24 (aOR = 0.24, 95% CI 0.08-0.75) and 25-29 years (aOR = 0.20, 95% CI 0.05-0.86) compared to 15-19 years was also associated with reduced odds of LBW. Additionally, ANC visits during the first trimester (aOR = 2.04, 95% CI 1.79-2.34), and village health teams (VHTs) visits while pregnant (aOR = 1.14, 95% CI 1.01-1.30) were associated with increased odds of at least four ANC visits, which is a mediating factor for health facility delivery, LBW and newborn death. Surprisingly, newborn death was not significantly different between health facility and community deliveries. CONCLUSIONS: Attending ANC at least four times was a mediating factor for reduced newborn death and low birth weight. Interventions in maternal health and newborn health should focus on factors that increase ANC fourth time attendance and those that reduce LBW especially in resource-limited settings. Targeting women with high-risk pregnancies is also crucial for reducing newborn deaths.

Persisting demand and supply gap for maternal and newborn care in eastern Uganda: a mixed-method cross-sectional study.

BACKGROUND: The slow progress in reducing maternal and newborn death in low and middle-income countries is attributed to both demand and supply-side factors. This study assessed the changes in maternal and newborn services in health facilities as well as demand for maternal and newborn health services in Eastern Uganda. METHODS: The health assessment data were collected in August 2013 and September 2015 in the districts of Kamuli, Pallisa, and Kibuku. We purposively collected data on the availability of services from 40 health facilities that provided maternal and newborn services. In addition, we conducted 24 focus group discussions (FGDs) with women and men; and 18 key informant interviews (KIs) with health workers. RESULTS: On the supply side, most health facilities persistently lacked lifesaving medicines such as misoprostol, IV Ampicillin, IV Gentamycin, IV Metronidazole, Magnesium Sulphate, Ergometrine, Corticosteroids, ferrous Sulphate, Folic Acid, Combined ferrous, Benzyl penicillin, and Diazepam (IM or IV). Basic newborn equipment such as stethoscope, fetal scope, working baby scale, newborn suction devices, newborn resuscitation device, and thermometer were persistently not available in most of the health facilities. Binders for Kangaroo Mother Care, blanket to wrap newborn, baby warmer or heat lamp were persistently not available in at least 80% of the health facilities. Other equipment for the management of labor and abortions such as Manual vacuum aspirator for abortion care, blank partographs and vacuum extractor were not available in most of the health facilities including referral facilities at baseline and follow-up. On the demand side, the qualitative interviews exposed long distances and inadequate transport to the health facilities, inadequate information, poverty, and poor services at the health facilities as major factors that impede women to utilize/access maternal and newborn services. CONCLUSION: There are distinct influences on both demand and supply side, which restrain both health care uptake and its quality. The frequent disparity between the health facility readiness to provide services and the women readiness to utilize them needs to be addressed as the country intensifies its efforts to reduce maternal and newborn deaths through boosting facility deliveries.

Participatory monitoring and evaluation approaches that influence decision-making: lessons from a maternal and newborn study in Eastern Uganda.

BACKGROUND: The use of participatory monitoring and evaluation (M&E) approaches is important for guiding local decision-making, promoting the implementation of effective interventions and addressing emerging issues in the course of implementation. In this article, we explore how participatory M&E approaches helped to identify key design and implementation issues and how they influenced stakeholders' decision-making in eastern Uganda. METHOD: The data for this paper is drawn from a retrospective reflection of various M&E approaches used in a maternal and newborn health project that was implemented in three districts in eastern Uganda. The methods included qualitative and quantitative M&E techniques such as  key informant interviews, formal surveys and supportive supervision, as well as participatory approaches, notably participatory impact pathway analysis. RESULTS: At the design stage, the M&E approaches were useful for identifying key local problems and feasible local solutions and informing the activities that were subsequently implemented. During the implementation phase, the M&E approaches provided evidence that informed decision-making and helped identify emerging issues, such as weak implementation by some village health teams, health facility constraints such as poor use of standard guidelines, lack of placenta disposal pits, inadequate fuel for the ambulance at some facilities, and poor care for low birth weight infants. Sharing this information with key stakeholders prompted them to take appropriate actions. For example, the sub-county leadership constructed placenta disposal pits, the district health officer provided fuel for ambulances, and health workers received refresher training and mentorship on how to care for newborns. CONCLUSION: Diverse sources of information and perspectives can help researchers and decision-makers understand and adapt evidence to contexts for more effective interventions. Supporting districts to have crosscutting, routine information generating and sharing platforms that bring together stakeholders from different sectors is therefore crucial for the successful implementation of complex development interventions.

Increasing coverage and uptake of voluntary family planning in Uganda's emerging municipalities and secondary cities: An implementation research study protocol.

INTRODUCTION: While urban areas are often perceived to have better access to healthcare services, including modern family planning (FP) services, urban dwellers including those with better socioeconomic status are faced with multidimensional challenges that shape their access to appropriate FP services. In Uganda's urban spaces, there is currently a lack of understanding among service providers, civil society organizations, and individuals/communities regarding the implementation of interventions that promote informed choice and voluntary use of family planning services. This knowledge gap has profound implications for reproductive rights. This study seeks to enhance existing efforts towards increasing coverage and uptake of Voluntary Family Planning (VFP) in Jinja City and Iganga Municipality, central eastern Uganda. Our primary question is, "What interventions can effectively be packaged and delivered to increase the uptake of VFP among different segments of urban residents?" METHODS: We propose to use the Human-Centered Design (HCD) approach to understand the needs and challenges of users and community capabilities in ensuring access to VFP services. Co-creating with stakeholders' engagement and a data-driven-centric approach will steer design and adaptation that respond to the different population segments within the urban space. As such, the study will be implemented in three phases: formative assessment, design and implementation, and implementation monitoring and evaluation. The implementation process will incorporate robust monitoring, learning, and adaptation mechanisms. The primary focus of these mechanisms will be to utilize gathered information effectively to inform the design of the implementation and facilitate continuous learning throughout the process. The study will apply a process monitoring and evaluation approach to address questions related to what package of FP interventions work, for whom, under what circumstances and why. DISCUSSION: Guided by strong learning and implementation flexibility, we hypothesize that our implementation will provide segmentation-specific high-impact interventions in an urban context. REGISTRATION: This implementation research protocol has been registered on the Open Science Framework (OSF) repository Registries (https://osf.io/vqxu9; DOI: 10.17605/OSF.IO/VQXU9).

Spatial variation and attributable risk factors of anaemia among young children in Uganda: Evidence from a nationally representative survey.

Anaemia continues to be a burden especially in developing countries that not only affects the physical growth and cognitive development of children but also increases their risk to death. Over the past decade, the prevalence of anaemia among Ugandan children has been unacceptably high. Despite this, spatial variation and attributable risk factors of anaemia are not well explored at national level. The study utilized the 2016 Uganda Demographic and Health Survey (UDHS) data with a weighted sample of 3805 children aged 6-59 months. Spatial analysis was performed using ArcGIS version 10.7 and SaTScan version 9.6. This was followed by a multilevel mixed-effects generalized linear model for the analysis of the risk factors. Estimates for population attributable risks (PAR) and fractions (PAF) were also provided using STATA version 17. In the results, intra-cluster correlation coefficient (ICC) indicates that 18% of the total variability of anaemia was due to communities within the different regions. Moran's index further confirmed this clustering (Global Moran's index = 0.17; p-value<0.001). The main hot spot areas of anaemia were Acholi, Teso, Busoga, West Nile, Lango and Karamoja sub-regions. Anaemia prevalence was highest among boy-child, the poor, mothers with no education as well as children who had fever. Results also showed that if all children were born to mothers with higher education or were staying in rich household, the prevalence would be reduced by 14% and 8% respectively. Also having no fever reduces anaemia by 8%. In conclusion, anaemia among young children is significantly clustered in the country with disparities noted across communities within different sub-regions. Policies targeting poverty alleviation, climate change or environment adaptation, food security as well interventions on malaria prevention will help to bridge a gap in the sub regional inequalities of anaemia prevalence.

How a co-design process led to more contextually relevant family planning interventions in emerging urban settings in Eastern Uganda.

Voluntary, rights-based family planning upholds women's right to determine freely the number and spacing of their children. However, low-resource settings like Uganda still face a high unmet need for family planning. And, while urban areas are often indicated to have better access to health services, emerging evidence is revealing intra-urban socio-economic differentials in family planning utilization. To address the barriers to contraceptive use in these settings, understanding community-specific challenges and involving them in tailored intervention design is crucial. This paper describes the use of co-design, a human-centred design tool, to develop context-specific interventions that promote voluntary family planning in urban settings in Eastern Uganda. A five-stage co-design approach was used: 1) Empathize: primary data was collected to understand the problem and people involved, 2) Define: findings were shared with 56 participants in a three-day in-person co-design workshop, including community members, family planning service providers and leaders, 3) Ideate: workshop participants generated potential solutions, 4) Prototype: participants prioritized prototypes, and 5) Testing: user feedback was sought about the prototypes. A package of ten interventions was developed. Five interventions targeted demand-side barriers to family planning uptake, four targeted supply-side barriers, and one addressed leadership and governance barriers. Involving a diverse group of co-creators provided varied experiences and expertise to develop the interventions. Participants expressed satisfaction with their involvement in finding solutions to challenges in their communities. However, power imbalances and language barriers were identified by the participants as potential barriers to positive group dynamics and discussion quality. To address them, participants were separated into groups, and medical terminologies were simplified during brainstorming sessions. These changes improved participation and maximized the contributions of all participants. It is therefore important to consider participant characteristics and their potential impact on the process, especially when engaging diverse participant groups, and implement measures to mitigate their effects.

Machine learning predictive modelling for identification of predictors of acute respiratory infection and diarrhoea in Uganda's rural and urban settings.

Despite the widely known preventive interventions, the dyad of acute respiratory infections (ARI) and diarrhoea remain among the top global causes of mortality in under- 5 years. Studies on child morbidity have enormously applied "traditional" statistical techniques that have limitations in handling high dimension data, which leads to the exclusion of some variables. Machine Learning (ML) models appear to perform better on high dimension data (dataset with the number of features p (usually correlated) larger than the number of observations N). Using Uganda's 2006-2016 DHS pooled data on children aged 6-59 months, I applied ML techniques to identify rural-urban differentials in the predictors of child's diarrhoea and ARI. I also used ML to identify other omitted variables in the current child morbidity frameworks. The predictors were grouped into four categories: child characteristics, maternal characteristics, household characteristics and immunisation. I used 90% of the datasets as a training sets (dataset used to fit (train) a prediction model), which were tested or validated (dataset (pseudo new) used for evaluating the performance of the model on a new dataset) on 10% and 30% datasets. The measure of prediction was based on a 10-fold cross-validation (resampling technique). The gradient-boosted machine (ML technique) was the best-selected model for the identification of the predictors of ARI (Accuracy: 100% -rural and 100%-urban) and diarrhoea (Accuracy: 70%-rural and 100%-urban). These factors relate to the household's structure and composition, which is characterised by poor hygiene and sanitation and poor household environments that make children more suspectable of developing these diseases; maternal socio-economic factors such as education, occupation, and fertility (birth order); individual risk factors such as child age, birth weight and nutritional status; and protective interventions (immunisation). The study findings confirm the notion that ARI and diarrhoea risk factors overlap. The results highlight the need for a holistic approach with multisectoral emphasis in addressing the occurrence of ARI and diarrhoea among children. In particular, the results provide an insight into the importance of implementing interventions that are responsive to the unique structure and composition of the household. Finally, alongside traditional models, machine learning could be applied in generating research hypotheses and providing insight into the selection of key variables that should be considered in the model.

Health service utilisation during the COVID-19 pandemic in sub-Saharan Africa in 2020: a multicountry empirical assessment with a focus on maternal, newborn and child health services.

INTRODUCTION: There are concerns about the impact of the COVID-19 pandemic on the continuation of essential health services in sub-Saharan Africa. Through the Countdown to 2030 for Women's, Children's and Adolescents' Health country collaborations, analysts from country and global public health institutions and ministries of health assessed the trends in selected services for maternal, newborn and child health, general service utilisation. METHODS: Monthly routine health facility data by district for the period 2017-2020 were compiled by 12 country teams and adjusted after extensive quality assessments. Mixed effects linear regressions were used to estimate the size of any change in service utilisation for each month from March to December 2020 and for the whole COVID-19 period in 2020. RESULTS: The completeness of reporting of health facilities was high in 2020 (median of 12 countries, 96% national and 91% of districts ≥90%), higher than in the preceding years and extreme outliers were few. The country median reduction in utilisation of nine health services for the whole period March-December 2020 was 3.9% (range: -8.2 to 2.4). The greatest reductions were observed for inpatient admissions (median=-17.0%) and outpatient admissions (median=-7.1%), while antenatal, delivery care and immunisation services generally had smaller reductions (median from -2% to -6%). Eastern African countries had greater reductions than those in West Africa, and rural districts were slightly more affected than urban districts. The greatest drop in services was observed for March-June 2020 for general services, when the response was strongest as measured by a stringency index. CONCLUSION: The district health facility reports provide a solid basis for trend assessment after extensive data quality assessment and adjustment. Even the modest negative impact on service utilisation observed in most countries will require major efforts, supported by the international partners, to maintain progress towards the SDG health targets by 2030.

Mediation role of low birth weight on the factors associated with newborn mortality and the moderation role of institutional delivery in the association of low birth weight with newborn mortality in a resource-poor setting.

OBJECTIVES: To assess low birth weight's (LBW) mediation role on the factors associated with newborn mortality (NM), including stillbirth and the role of institutional delivery in the association between LBW and NM. DESIGN AND PARTICIPANTS: I used the 2011-2015 event histories health demographic data collected by Iganga-Mayuge Health Demographic and Surveillance Site (HDSS). The dataset consisted of 10 758 registered women whose birth occurred at least 22 weeks of the gestation period and records of newborns' living status 28 days after delivery. SETTING: The Iganga-Mayuge HDSS is in Eastern Uganda, which routinely collects health and demographic data from a registered population of at least 100 000 people. OUTCOME MEASURE: The study's key outcomes or endogenous factors were perinatal mortality (PM), late NM and LBW (mediating factor). RESULTS: The factors that were directly associated with PM were LBW (OR=2.55, 95% CI 1.15 to 5.67)), maternal age of 30+ years (OR=1.68, 95% CI 1.21 to 2.33), rural residence (OR=1.38, 95% CI 1.02 to 1.85), mothers with previous experience of NM (OR=3.95, 95% CI 2.86 to 5.46) and mothers with no education level (OR=1.63, 95% CI 1.21 to 2.18). Multiple births and mother's prior experience of NM were positively associated with NM at a later age. Institutional delivery had a modest inverse role in the association of LBW with PM. LBW mediated the association of PM with residence status, mothers' previous NM experience, multiple births, adolescent mothers and mothers' marital status. Of the total effect attributable to each of these factors, LBW mediated +25%, +22%, +100%, 25% and -38% of rural resident mothers, mothers with previous experience of newborn or pregnancy loss, multiple births, adolescent mothers and mothers with partners, respectively. CONCLUSION: LBW mediated multiple factors in the NM pathways, and the effect of institutional delivery in reducing mortality among LBW newborns was insignificant. The findings demonstrate the need for a holistic life course approach that gears the health systems to tackle NM.

Determinants of change in the inequality and associated predictors of teenage pregnancy in Uganda for the period 2006-2016: analysis of the Uganda Demographic and Health Surveys.

OBJECTIVE: Teenage pregnancy has become a public health concern in Uganda because of its negative consequences to both the mother and child. The objective of this study was to examine the determinants of change in the inequality and associated predictors of teenage pregnancy in Uganda for the period 2006-2016. STUDY DESIGN: A retrospective national cross-sectional study. SETTING: Uganda. PARTICIPANTS: Uganda Demographic and Health Survey secondary data of only female teenagers aged 15-19 years. The samples selected for analyses were 1936 in 2006; 2048 in 2011 and 4264 in 2016. OUTCOME MEASURE: The primary outcome was teenage pregnancy. Analysis was performed using the logistic regression, equiplots, concentration curve, normalised concentration index, decomposition of the concentration index and Oaxaca-type decomposition. RESULTS: The prevalence of teenage pregnancy has seemingly remained high and almost constant from 2006 to 2016 with the risk worsening to the disadvantage of the poor. Household wealth-index, teenagers' years of education, early sexual debut and child marriage were the main key predictors and contributors of the large inequality in teenage pregnancy from 2006 to 2016. CONCLUSION: Teenage pregnancy is disproportionately prevalent among different subpopulations of adolescent girls in Uganda. We therefore recommend policy actions to sensitise communities and enforcement of child rights and child protection laws to stop child marriages. There is also need to promote girl child education, improving household incomes, and intensifying mass media awareness on the risks of early pregnancies. Further, ensuring that villages have operational adolescent and youth friendly services as well as incorporating sex education and other different adolescent reproductive health programmes in school curriculum will be key measures in reducing the large inequality in teenage pregnancy.

Child health and the implementation of Community and District-management Empowerment for Scale-up (CODES) in Uganda: a randomised controlled trial.

INTRODUCTION: Uganda's district-level administrative units buttress the public healthcare system. In many districts, however, local capacity is incommensurate with that required to plan and implement quality health interventions. This study investigates how a district management strategy informed by local data and community dialogue influences health services. METHODS: A 3-year randomised controlled trial (RCT) comprised of 16 Ugandan districts tested a management approach, Community and District-management Empowerment for Scale-up (CODES). Eight districts were randomly selected for each of the intervention and comparison areas. The approach relies on a customised set of data-driven diagnostic tools to identify and resolve health system bottlenecks. Using a difference-in-differences approach, the authors performed an intention-to-treat analysis of protective, preventive and curative practices for malaria, pneumonia and diarrhoea among children aged 5 and younger. RESULTS: Intervention districts reported significant net increases in the treatment of malaria (+23%), pneumonia (+19%) and diarrhoea (+13%) and improved stool disposal (+10%). Coverage rates for immunisation and vitamin A consumption saw similar improvements. By engaging communities and district managers in a common quest to solve local bottlenecks, CODES fostered demand for health services. However, limited fiscal space-constrained district managers' ability to implement solutions identified through CODES. CONCLUSION: Data-driven district management interventions can positively impact child health outcomes, with clinically significant improvements in the treatment of malaria, pneumonia and diarrhoea as well as stool disposal. The findings recommend the model's suitability for health systems strengthening in Uganda and other decentralised contexts. TRIAL REGISTRATION NUMBER: ISRCTN15705788.