A case-control study of factors associated with caesarean sections at health facilities in Kabarole District, Western Uganda, 2016.

INTRODUCTION: World Health Organization estimates that the appropriate caesarean section rates should range from 10% to 15% at the population level. There is limited access and utilisation of caesarean section services in Uganda. This case-control study explored factors associated with caesarean section delivery, focusing on service-related and individual level factors. METHODS: we interviewed 134 cases that had a caesarean section and 134 controls that had a "normal" vaginal delivery. The study was conducted at health facilities in Kabarole district during March to May 2016. Multivariable logistic regression was used to determine individual factors associated with caesarean sections, at a significance level of p 35 years) compared to the controls. The factors associated with caesarean section delivery were: having a previous caesarean section delivery (adjusted odds ratio (AOR): 4.5 CI: 2.22-9.0), attendance of four or more ANC visits (AOR: 2.0 CI: 1.04-3.83). Inadequate human resource, medicines and supplies affected access to the service. Misconceptions such as negative branding of women that have caesarean section deliveries as "lazy" reduced its acceptance thus low utilisation of the service. CONCLUSION: health system inadequacies and misconceptions about caesarean section delivery contributed to the low access and utilisation of the service

Every Newborn INDEPTH (EN-INDEPTH) Study - Additional Materials

The Every Newborn- International Network for the Demographic Evaluation of Populations and their Health (EN-INDEPTH) study was a cross-sectional, multi-site study conducted between July 2017 and August 2018, including a survey of 69,176 women aged 15-49 years in five Health and Demographic Surveillance Sites (HDSS) within the INDEPTH Network: Bandim in Guinea-Bissau, Dabat in Ethiopia, IgangaMayuge in Uganda, Matlab in Bangladesh and Kintampo in Ghana. The primary objective of the study was to compare two methods of retrospective recording of pregnancy outcomes in surveys: Full Birth History with additional questions on pregnancy losses (FBH+), and Full Pregnancy History (FPH). A secondary objective was to identify barriers and enablers to the reporting of pregnancy and adverse pregnancy outcomes during the survey and HDSS data collection, and particularly if these differ for the two survey questionnaire methods (FBH+ and FPH). The study also evaluated the use of existing/modified survey questions to capture the fertility intentions and selected pregnancy outcomes (Termination of Pregnancy, miscarriage, birthweight, gestational age), and birth and death certification

Linking data sources for measurement of effective coverage in maternal and newborn health: what do we learn from individual- vs ecological-linking methods?

BACKGROUND: Improving maternal and newborn health requires improvements in the quality of facility-based care. This is challenging to measure: routine data may be unreliable; respondents in population surveys may be unable to accurately report on quality indicators; and facility assessments lack population level denominators. We explored methods for linking access to skilled birth attendance (SBA) from household surveys to data on provision of care from facility surveys with the aim of estimating population level effective coverage reflecting access to quality care. METHODS: We used data from Mayuge District, Uganda. Data from household surveys on access to SBA were linked to health facility assessment census data on readiness to provide basic emergency obstetric and newborn care (BEmONC) in the same district. One individual- and two ecological-linking methods were applied. All methods used household survey reports on where care at birth was accessed. The individual-linking method linked this to data about facility readiness from the specific facility where each woman delivered. The first ecological-linking approach used a district-wide mean estimate of facility readiness. The second used an estimate of facility readiness adjusted by level of health facility accessed. Absolute differences between estimates derived from the different linking methods were calculated, and agreement examined using Lin's concordance correlation coefficient. RESULTS: A total of 1177 women resident in Mayuge reported a birth during 2012-13. Of these, 664 took place in facilities within Mayuge, and were eligible for linking to the census of the district's 38 facilities. 55% were assisted by a SBA in a facility. Using the individual-linking method, effective coverage of births that took place with an SBA in a facility ready to provide BEmONC was just 10% (95% confidence interval CI 3-17). The absolute difference between the individual- and ecological-level linking method adjusting for facility level was one percentage point (11%), and tests suggested good agreement. The ecological method using the district-wide estimate demonstrated poor agreement. CONCLUSIONS: The proportion of women accessing appropriately equipped facilities for care at birth is far lower than the coverage of facility delivery. To realise the life-saving potential of health services, countries need evidence to inform actions that address gaps in the provision of quality care. Linking household and facility-based information provides a simple but innovative method for estimating quality of care at the population level. These encouraging findings suggest that linking data sets can result in meaningful evidence even when the exact location of care seeking is not known

Action leveraging evidence to reduce perinatal mortality and morbidity (ALERT): study protocol for a stepped-wedge cluster-randomised trial in Benin, Malawi, Tanzania and Uganda

Background: Insufficient reductions in maternal and neonatal deaths and stillbirths in the past decade are a deterrence to achieving the Sustainable Development Goal 3. The majority of deaths occur during the intrapartum and immediate postnatal period. Overcoming the knowledge-do-gap to ensure implementation of known evidence-based interventions during this period has the potential to avert at least 2.5 million deaths in mothers and their offspring annually. This paper describes a study protocol for implementing and evaluating a multi-faceted health care system intervention to strengthen the implementation of evidence-based interventions and responsive care during this crucial period. Methods: This is a cluster randomised stepped-wedge trial with a nested realist process evaluation across 16 hospitals in Benin, Malawi, Tanzania and Uganda. The ALERT intervention will include four main components: i) end-user participation through narratives of women, families and midwifery providers to ensure co-design of the intervention; ii) competency-based training; iii) quality improvement supported by data from a clinical perinatal e-registry and iv) empowerment and leadership mentoring of maternity unit leaders complemented by district based bi-annual coordination and accountability meetings. The trial\u27s primary outcome is in-facility perinatal (stillbirths and early neonatal) mortality, in which we expect a 25% reduction. A perinatal e-registry will be implemented to monitor the trial. Our nested realist process evaluation will help to understand what works, for whom, and under which conditions. We will apply a gender lens to explore constraints to the provision of evidence-based care by health workers providing maternity services. An economic evaluation will assess the scalability and cost-effectiveness of ALERT intervention. Discussion: There is evidence that each of the ALERT intervention components improves health providers\u27 practices and has modest to moderate effects. We aim to test if the innovative packaging, including addressing specific health systems constraints in these settings, will have a synergistic effect and produce more considerable perinatal mortality reductions

The 13 UN Life-saving Commodities for Maternal, Newborn and Child Health: Knowledge, Attitudes and Practices in Uganda

Background: Life Saving Commodities (LSC) are medicines, medical devices and health supplies that effectively address leading avoidable causes of death during pregnancy, childbirth and childhood. In 2012 the United Nations put priority on globally promoting 13 priority LSC across the reproductive, maternal, newborn and child health (RMNCH) continuum of care. We assessed barriers to demand, access and utilization of these 13 LSC. Methods: This was a mixed methods cross-sectional study using both quantitative and qualitative approaches. The quantitative component was a health facility survey while the qualitative one was community-based. A blend of simple random and purposive sampling was undertaken to recruit study participants in four regions of Uganda. A total of 125 health facilities were surveyed and 513 people interviewed. Descriptive and bivariate analysis was done for quantitative data while the qualitative strand employed thematic analysis. This paper presents descriptive findings on knowledge, attitudes and practices (KAP) pertaining to the 13 LSC. Results: There was a variation in knowledge of LSC. Knowledge on child health commodities (ORS and Zinc) was higher among community members compared to the other commodities which are largely hospital-based (injectable antibiotics, antenatal corticosteroids, chlorhexidine, oxytocin, misoprostol and magnesium sulphate). Although health workers were knowledgeable on most LSC they also demonstrated limited comprehensive knowledge some, particularly those relating to reproductive and newborn health (48% and 42.4% respectively). For instance only 37.6% had comprehensive knowledge on management of preterm labour; only 44.8% health facilities had health workers knowledgeable on use of antenatal corticosteroids for preterm labour and only 30.4% reported to give antibiotics. Perceptions on some commodities, particularly the female condom and emergency contraception, were largely negative and health workers practiced selective recommendation or use. Explanatory factors for this could be traced at individual, household, community, facility and macro levels. Constrained by system-related issues like medicine stock-outs, majority of health workers were improvising and using available alternatives to LSC. Conclusion: The concept “lifesaving commodities” for maternal, newborn and child health was not well understood by both health workers as caregivers and community as service users. As a result they have not been demanded for, made available or utilized as originally intended. Alongside improved LSC availability, their overlooked, complementary nature and efficacy should continuously be emphasized to the various stakeholders for optimum results

Household Survey Measurement of Newborn Postnatal Care: Coverage, Quality Gaps, and Internal Inconsistencies in Responses.

BACKGROUND: Reliable measurement of newborn postnatal care is essential to understand gaps in coverage and quality and thereby improve outcomes. This study examined gaps in coverage and measurement of newborn postnatal care in the first 2 days of life. METHODS: We analyzed Demographic and Health Survey data from 15 countries for 71,366 births to measure the gap between postnatal contact coverage and content coverage within 2 days of birth. Coverage was a contact with the health system in the first 2 days (postnatal check or newborn care intervention), and quality was defined as reported receipt of 5 health worker-provided interventions. We examined internal consistency between interrelated questions regarding examination of the umbilical cord. RESULTS: Reported coverage of postnatal check ranged from 13% in Ethiopia to 78% in Senegal. Report of specific newborn care interventions varied widely by intervention within and between countries. Quality-coverage gaps were high, ranging from 26% in Malawi to 89% in Burundi. We found some internally inconsistent reporting of newborn care. The percentage of women who reported that a health care provider checked their newborn's umbilical cord but responded "no" to the postnatal check question was as high as 16% in Malawi. CONCLUSION: Reliable measurement of coverage and content of early postnatal newborn care is essential to track progress in improving quality of care. Postnatal contact coverage is challenging to measure because it may be difficult for women to distinguish postnatal care from intrapartum care and it is a less recognizable concept than antenatal care. Co-coverage measures may provide a useful summary of contact and content, reflecting both coverage and an aspect of quality

The use of continuous surveys to generate and continuously report high quality timely maternal and newborn health data at the district level in Tanzania and Uganda.

BACKGROUND: The lack of high quality timely data for evidence-informed decision making at the district level presents a challenge to improving maternal and newborn survival in low income settings. To address this problem, the EQUIP project (Expanded Quality Management using Information Power) implemented a continuous household and health facility survey for continuous feedback of data in two districts each in Tanzania and Uganda as part of a quality improvement innovation for mothers and newborns. METHODS: Within EQUIP, continuous survey data were used for quality improvement (intervention districts) and for effect evaluation (intervention and comparison districts). Over 30 months of intervention (November 2011 to April 2014), EQUIP conducted continuous cross-sectional household and health facility surveys using 24 independent probability samples of household clusters to represent each district each month, and repeat censuses of all government health facilities. Using repeat samples in this way allowed data to be aggregated at six four-monthly intervals to track progress over time for evaluation, and for continuous feedback to quality improvement teams in intervention districts.In both countries, one continuous survey team of eight people was employed to complete approximately 7,200 household and 200 facility interviews in year one. Data were collected using personal digital assistants. After every four months, routine tabulations of indicators were produced and synthesized to report cards for use by the quality improvement teams. RESULTS: The first 12 months were implemented as planned. Completion of household interviews was 96% in Tanzania and 91% in Uganda. Indicators across the continuum of care were tabulated every four months, results discussed by quality improvement teams, and report cards generated to support their work. CONCLUSIONS: The EQUIP continuous surveys were feasible to implement as a method to continuously generate and report on demand and supply side indicators for maternal and newborn health; they have potential to be expanded to include other health topics. Documenting the design and implementation of a continuous data collection and feedback mechanism for prospective description, quality improvement, and evaluation in a low-income setting potentially represents a new paradigm that places equal weight on data systems for course correction, as well as evaluation

Using research priority-setting to guide bridging the implementation gap in countries - a case study of the Uganda newborn research priorities in the SDG era.

BACKGROUND: One of the greatest challenges that countries face regarding the achievement of the Sustainable Development Goal (SDG) targets for child health regard the actions required to improve neonatal health; these interventions have to be informed by evidence. In view of the persisting high numbers of newborn deaths in Uganda, we aimed to define a locally contextualised national research agenda for newborn health to guide national investments towards SDG targets. METHODS: We adopted a systematic approach for priority-setting adapted from the Child Health and Nutrition Research Initiative. We identified and listed local newborn researchers and experts in Uganda by reviewing the PubMed database, through a snowballing technique, and engaged the Ministry of Health. Participants were requested to generate at least three research questions. The collated questions were sent to the same expert group to be rated using five criteria, including answerability, scalability, impact, generalisability and speed. FINDINGS: Of the 300 researchers and stakeholders contacted, 104 responded (36%) and generated 304 questions. These questions were collated and duplicates removed giving a condensed list of 41 research questions. These questions were then rated by 82 experts. Of the top 15 research questions, 86.7% (13/15) were in the service delivery and 6.7% (1/15) in the development domain, while only 6.7% (1/15) was in the group 'other'. None of the leading 15 questions was in the discovery domain. Strategies to improve quality of intrapartum care featured high in the responses, while research around care for premature babies was not a perceived focus of research. CONCLUSIONS: The focus of improved evidence to guide and innovate service delivery, foremost intrapartum care, reflects the importance of this area as accelerated improvement is likely to yield fast and sustained survival gains in the neonatal period and beyond in Uganda. We recommend that other countries adapt a similar approach in defining priority reproductive, maternal, newborn and child health areas for investment in order to accelerate progress towards achieving the SDGs

Status of birth and pregnancy outcome capture in Health Demographic Surveillance Sites in 13 countries.

OBJECTIVES: We compared pregnancy identification methods and outcome capture across 31 Health Demographic Surveillance System (HDSS) sites in 14 countries in sub-Saharan Africa and Asia. METHODS: From 2009 to 2014, details on the sites and surveillance systems including frequency of update rounds, characteristics of enumerators and interviewers, acceptable respondents were collected and compared across sites. RESULTS: The 31 HDSS had a combined population of over 2,905,602 with 165,820 births for the period. Stillbirth rate ranged from 1.9 to 42.6 deaths per 1000 total births and the neonatal mortality rate from 2.6 to 41.6 per 1000 live births. Three quarters (75.3%) of recorded neonatal deaths occurred in the first week of life. The proportion of infant deaths that occurred in the neonatal period ranged from 8 to 83%, with a median of 53%. Sites that registered pregnancies upon locating a live baby in the routine household surveillance round had lower recorded mortality rates. CONCLUSIONS: Increased attention and standardization of pregnancy surveillance and the time of birth will improve data collection and provide platforms for evaluations and availability of data for decision-making with implications for national planning