Geographical, sex, and socioeconomic differences in non-communicable disease indicators: A cross-sectional survey in Eastern Uganda.

The prevalence of non-communicable diseases (NCDs) is increasing in many low- and middle-income countries (LMICs). This study examined differences in the burden of NCDs and their risk factors according to geographic, sex, and sociodemographic characteristics in a rural and peri-urban community in Eastern Uganda. We compared the prevalence by sex, location, wealth, and education. Unadjusted and adjusted prevalence ratios (PR) were reported. Indicators related to tobacco use, alcohol use, salt consumption, fruit/vegetable consumption, physical activity, body weight, and blood pressure were assessed. Among 3220 people (53.3% males, mean age: 35.3 years), the prevalence of NCD burden differed by sex. Men had significantly higher tobacco (e.g., current smoking: 7.6% vs. 0.7%, adjusted PR (APR): 12.8, 95% CI: 7.4-22.3), alcohol use (e.g., current drinker: 11.1% vs. 4.6%, APR: 13.4, 95% CI: 7.9-22.7), and eat processed food high in salt (13.4% vs. 7.1, APR: 1.8, 95% CI: 1.8, 95% CI: 1.4-2.4) than women; however, the prevalence of overweight (23.1% vs 30.7%, APR: 0.7, 95% CI: 0.6-0.9) and obesity (4.1% vs 14.7%, APR: 0.3, 95% CI: 0.2-0.3) was lower among men than women. Comparing locations, peri-urban residents had a higher prevalence of current alcohol drinking, heavy episodic drinking, always/often adding salt while cooking, always eating processed foods high in salt, poor physical activity, obesity, prehypertension, and hypertension than rural residents (p<0.5). When comparing respondents by wealth and education, we found people who have higher wealth or education had a higher prevalence of always/often adding salt while cooking, poor physical activity, and obesity. Although the findings were inconsistent, we observed significant sociodemographic and socioeconomic differences in the burden of many NCDs, including differences in the distributions of behavioral risk factors. Considering the high burden of many risk factors, we recommend appropriate prevention programs and policies to reduce these risk factors' burden and future negative consequences.

The epidemiology of behavioral risk factors for noncommunicable disease and hypertension: A cross-sectional study from Eastern Uganda.

In light of the suboptimal noncommunicable disease (NCD) risk factor surveillance efforts, the study's main objectives were to: (i) characterize the epidemiological profile of NCD risk factors; (ii) estimate the prevalence of hypertension; and (iii) identify factors associated with hypertension in a peri-urban and rural Ugandan population. A population-based cross-sectional survey of adults was conducted at the Iganga-Mayuge Health and Demographic Surveillance System site in eastern Uganda. After describing sociodemographic characteristics, the prevalence of NCD risk factors and hypertension was reported. Prevalence ratios for NCD risk factors were calculated using weighted Poisson regression to identify factors associated with hypertension. Among 3220 surveyed respondents (mean age: 35.3 years (standard error: 0.1), 49.4% males), 4.4% were current tobacco users, 7.7% were current drinkers, 98.5% had low fruit and vegetable consumption, 26.9% were overweight, and 9.3% were obese. There was a high prevalence of hypertension and prehypertension, at 17.1% and 48.8%, respectively. Among hypertensive people, most had uncontrolled hypertension, at 97.4%. When we examined associated factors, older age (adjusted prevalence ratio (APR): 3.1, 95% CI: 2.2-4.4, APR: 5.2, 95% CI: 3.7-7.3, APR: 8.9, 95% CI: 6.4-12.5 among 30-44, 45-59, and 60+-year-old people than 18-29-year-olds), alcohol drinking (APR: 1.6, 95% CI: 1.3-2.0, ref: no), always adding salt during eating (APR: 1.6, 95% CI: 1.1-2.2, ref: no), poor physical activity (APR: 1.3, 95% CI: 1.1-1.6, ref: no), overweight (APR: 1.3, 95% CI: 1.1-1.5, ref: normal weight), and obesity (APR: 2.0, 95% CI: 1.6-2.4, ref: normal weight) had higher prevalence of hypertension than their counterparts. The high prevalence of NCD risk factors highlights the immediate need to implement and scale-up population-level strategies to increase awareness about leading NCD risk factors in Uganda. These strategies should be accompanied by concomitant investment in building health systems capacity to manage and control NCDs.

Optimising DTwP-containing vaccine infant immunisation schedules (OptImms) - a protocol for two parallel, open-label, randomised controlled trials.

BACKGROUND: Universal immunisation is the cornerstone of preventive medicine for children, The World Health Organisation (WHO) recommends diphtheria-tetanus-pertussis (DTP) vaccine administered at 6, 10 and 14 weeks of age as part of routine immunisation. However, globally, more than 17 unique DTP-containing vaccine schedules are in use. New vaccines for other diseases continue to be introduced into the infant immunisation schedule, resulting in an increasingly crowded schedule. The OptImms trial will assess whether antibody titres against pertussis and other antigens in childhood can be maintained whilst adjusting the current Expanded Programme on Immunisation (EPI) schedule to provide space for the introduction of new vaccines. METHODS: The OptImms studies are two randomised, five-arm, non-inferiority clinical trials in Nepal and Uganda. Infants aged 6 weeks will be randomised to one of five primary vaccination schedules based on age at first DTwP-vaccination (6 versus 8 weeks of age), number of doses in the DTwP priming series (two versus three), and spacing of priming series vaccinations (4 versus 8 weeks). Additionally, participants will be randomised to receive their DTwP booster at 9 or 12 months of age. A further sub-study will compare the co-administration of typhoid vaccine with other routine vaccines at one year of age. The primary outcome is anti-pertussis toxin IgG antibodies measured at the time of the booster dose. Secondary outcomes include antibodies against other vaccine antigens in the primary schedule and their safety. DISCUSSION: These data will provide key data to inform policy decisions on streamlining vaccination schedules in childhood. TRIAL REGISTRATIONS: ISRCTN12240140 (Nepa1, 7th January 2021) and ISRCTN6036654 (Uganda, 17th February 2021).

The Extent of Universal Health Coverage for Maternal Health Services in Eastern Uganda: A Cross Sectional Study.

OBJECTIVE: Monitoring essential health services coverage is important to inform resource allocation for the attainment of the Sustainable Development Goal 3. The objective was to assess service, effective and financial coverages of maternal healthcare services and their equity, using health and demographic surveillance site data in eastern Uganda. METHODS: Between Nov 2018 and Feb 2019, 638 resident women giving birth in 2017 were surveyed. Among them, 386 were randomly sampled in a follow-up survey (Feb 2019) on pregnancy and delivery payments and contents of care. Service coverage (antenatal care visits, skilled birth attendance, institutional delivery and one postnatal visit), effective coverage (antenatal and postnatal care content) and financial coverage (out-of-pocket payments for antenatal and delivery care and health insurance coverage) were measured, stratified by socio-economic status, education level and place of residence. RESULTS: Coverage of skilled birth attendance and institutional delivery was both high (88%), while coverage of postnatal visit was low (51%). Effective antenatal care was lower than effective postnatal care (38% vs 76%). Financial coverage was low: 91% of women made out-of-pocket payments for delivery services. Equity analysis showed coverage of institutional delivery was higher for wealthier and peri-urban women and these women made higher out-of-pocket payments. In contrast, coverage of a postnatal visit was higher for rural women and poorest women. CONCLUSION: Maternal health coverage in eastern Uganda is not universal and particularly low for postnatal visit, effective antenatal care and financial coverage. Analysing healthcare payments and quality by healthcare provider sector is potential future research.

Stillbirth outcome capture and classification in population-based surveys: EN-INDEPTH study.

BACKGROUND: Household surveys remain important sources of stillbirth data, but omission and misclassification are common. Classifying adverse pregnancy outcomes as stillbirths requires accurate reporting of vital status at birth and gestational age or birthweight for every pregnancy. Further categorisation, e.g. by sex, or timing (intrapartum/antepartum) improves data to understand and prevent stillbirth. METHODS: We undertook a cross-sectional population-based survey of women of reproductive age in five health and demographic surveillance system sites in Bangladesh, Ethiopia, Ghana, Guinea-Bissau and Uganda (2017-2018). All women answered a full birth history with pregnancy loss questions (FBH+) or a full pregnancy history (FPH). A sub-sample across both groups were asked additional stillbirth questions. Questions were evaluated using descriptive measures. Using an interpretative paradigm and phenomenology methodology, focus group discussions with women exploring barriers to reporting birthweight for stillbirths were conducted. Thematic analysis was guided by an a priori codebook. RESULTS: Overall 69,176 women reported 98,483 livebirths (FBH+) and 102,873 pregnancies (FPH). Additional questions were asked for 1453 stillbirths, 1528 neonatal deaths and 12,620 surviving children born in the 5 years prior to the survey. Completeness was high (> 99%) for existing FBH+/FPH questions on signs of life at birth and gestational age (months). Discordant responses in signs of life at birth between different questions were common; nearly one-quarter classified as stillbirths on FBH+/FPH were reported born alive on additional questions. Availability of information on gestational age (weeks) (58.1%) and birthweight (13.2%) was low amongst stillbirths, and heaping was common. Most women (93.9%) were able to report the sex of their stillborn baby. Response completeness for stillbirth timing (18.3-95.1%) and estimated proportion intrapartum (15.6-90.0%) varied by question and site. Congenital malformations were reported in 3.1% stillbirths. Perceived value in weighing a stillborn baby varied and barriers to weighing at birth a nd knowing birthweight were common. CONCLUSIONS: Improving stillbirth data in surveys will require investment in improving the measurement of vital status, gestational age and birthweight by healthcare providers, communication of these with women, and overcoming reporting barriers. Given the large burden and effect on families, improved data must be made available to end preventable stillbirths.

Barriers and enablers to reporting pregnancy and adverse pregnancy outcomes in population-based surveys: EN-INDEPTH study.

BACKGROUND: Risks of neonatal death, stillbirth and miscarriage are highest in low- and middle-income countries (LMICs), where data has most gaps and estimates rely on household surveys, dependent on women reporting these events. Underreporting of pregnancy and adverse pregnancy outcomes (APOs) is common, but few studies have investigated barriers to reporting these in LMICs. The EN-INDEPTH multi-country study applied qualitative approaches to explore barriers and enablers to reporting pregnancy and APOs in surveys, including individual, community, cultural and interview level factors. METHODS: The study was conducted in five Health and Demographic Surveillance System sites in Guinea-Bissau, Ethiopia, Uganda, Bangladesh and Ghana. Using an interpretative paradigm and phenomenology methodology, 28 focus group discussions were conducted with 82 EN-INDEPTH survey interviewers and supervisors and 172 women between February and August 2018. Thematic analysis was guided by an a priori codebook. RESULTS: Survey interview processes influenced reporting of pregnancy and APOs. Women found questions about APOs intrusive and of unclear relevance. Across all sites, sociocultural and spiritual beliefs were major barriers to women reporting pregnancy, due to fear that harm would come to their baby. We identified several factors affecting reporting of APOs including reluctance to speak about sad memories and variation in recognition of the baby's value, especially for APOs at earlier gestation. Overlaps in local understanding and terminology for APOs may also contribute to misreporting, for example between miscarriages and stillbirths. Interviewers' skills and training were the keys to enabling respondents to open up, as was privacy during interviews. CONCLUSION: Sociocultural beliefs and psycho-social impacts of APOs play a large part in underreporting these events. Interviewers' skills, careful tool development and translation are the keys to obtaining accurate information. Reporting could be improved with clearer explanations of survey purpose and benefits to respondents and enhanced interviewer training on probing, building rapport and empathy.

Birth, stillbirth and death registration data completeness, quality and utility in population-based surveys: EN-INDEPTH study.

BACKGROUND: Birth registration is a child's first right. Registration of live births, stillbirths and deaths is foundational for national planning. Completeness of birth registration for live births in low- and middle-income countries is measured through population-based surveys which do not currently include completeness of stillbirth or death registration. METHODS: The EN-INDEPTH population-based survey of women of reproductive age was undertaken in five Health and Demographic Surveillance System sites in Bangladesh, Ethiopia, Ghana, Guinea-Bissau and Uganda (2017-2018). In four African sites, we included new/modified questions regarding registration for 1177 stillbirths and 11,881 livebirths (1333 neonatal deaths and 10,548 surviving the neonatal period). Questions were evaluated for completeness of responses, data quality, time to administer and estimates of registration completeness using descriptive statistics. Timing of birth registration, factors associated with non-registration and reported barriers were assessed using descriptive statistics and logistic regression. RESULTS: Almost all women, irrespective of their baby's survival, responded to registration questions, taking an average of < 1 min. Reported completeness of birth registration was 30.7% (6.1-53.5%) for babies surviving the neonatal period, compared to 1.7% for neonatal deaths (0.4-5.7%). Women were able to report age at birth registration for 93.6% of babies. Non-registration of babies surviving the neonatal period was significantly higher for home-born children (aOR 1.43 (95% CI 1.27-1.60)) and in Dabat (Ethiopia) (aOR 4.11 (95% CI 3.37-5.01)). Other socio-demographic factors associated with non-registration included younger age of mother, more prior births, little or no education, and lower socio-economic status. Neonatal death registration questions were feasible (100% women responded; only 1% did not know), revealing extremely low completeness with only 1.2% of neonatal deaths reported as registered. Despite > 70% of stillbirths occurring in facilities, only 2.5% were reported as registered. CONCLUSIONS: Questions on birth, stillbirth and death registration were feasible in a household survey. Completeness of birth registration is low in all four sites, but stillbirth and neonatal death registration was very low. Closing the registration gap amongst facility births could increase registration of both livebirths and facility deaths, including stillbirths, but will require co-ordination between civil registration systems and the often over-stretched health sector. Investment and innovation is required to capture birth and especially deaths in both facility and community systems.

Neonatal and child mortality data in retrospective population-based surveys compared with prospective demographic surveillance: EN-INDEPTH study.

BACKGROUND: Global mortality estimates remain heavily dependent on household surveys in low- and middle-income countries, where most under-five deaths occur. Few studies have assessed the accuracy of mortality data or determinants of capturing births in surveys. METHODS: The Every Newborn-INDEPTH study (EN-INDEPTH) included a large, multi-country survey of women aged 15-49 interviewed about livebirths and their survival status in five Health and Demographic Surveillance Systems (HDSSs). The HDSSs undertake regular household visits to register births and deaths for a given population. We analysed EN-INDEPTH survey data to assess background factors associated with not recalling a complete date-of-birth. We calculated Kaplan-Meier survival estimates for both survey and HDSS data and describe age-at-death distributions during the past 5 years for children born to the same women. We assessed the proportion of HDSS-births that could be matched on month-of-birth to survey-births and used regression models to identify factors associated with matching. RESULTS: 69,176 women interviewed in the survey reported 109,817 births and 3064 deaths in children under 5 years in the 5 years prior to the survey. In the HDSS data, the same women had 83,768 registered births and 2335 under-five deaths in the same period. A complete date-of-birth was not reported for 1-7% of survey-births. Birthdates were less likely to be complete for dead children and children born to women of higher parity or with little/no education. Distributions of reported age-at-death indicated heaping at full weeks (neonatal period) and at 12 months. Heaping was more pronounced in the survey data. Survey estimates of under-five mortality rates were similar to HDSS estimates of under-five mortality in two of five sites, higher in the survey in two sites (15%, 41%) and lower (24%) in one site. The proportion of HDSS-births matched to survey-births ranged from 51 to 89% across HDSSs and births of children who had died were less likely to be matched. CONCLUSIONS: Mortality estimates in the survey and HDSS were not markedly different for most sites. However, neither source is a "gold standard" and both sources miss some events. Research is required to improve capture and accuracy to better track newborn and child survival targets.

Under 10 mortality patterns, risk factors, and mechanisms in low resource settings of Eastern Uganda: An analysis of event history demographic and verbal social autopsy data.

BACKGROUND: Globally, the under-10 years of age mortality has not been comprehensively studied. We applied the life-course perspective in the analysis and interpretation of the event history demographic and verbal autopsy data to examine when and why children die before their 10th birthday. METHODS: We analysed a decade (2005-2015) of event histories data on 22385 and 1815 verbal autopsies data collected by Iganga-Mayuge HDSS in eastern Uganda. We used the lifetable for mortality estimates and patterns, and Royston-Parmar survival analysis approach for mortality risk factors' assessment. RESULTS: The under-10 and 5-9 years of age mortality probabilities were 129 (95% Confidence Interval [CI] = 123-370) per 1000 live births and 11 (95% CI = 7-26) per 1000 children aged 5-9 years, respectively. The top four causes of new-born mortality and stillbirth were antepartum maternal complications (31%), intrapartum-related causes including birth injury, asphyxia and obstructed labour (25%), Low Birth Weight (LBW) and prematurity (20%), and other unidentified perinatal mortality causes (18%). Malaria, protein deficiency including anaemia, diarrhoea or gastrointestinal, and acute respiratory infections were the major causes of mortality among those aged 0-9 years-contributing 88%, 88% and 46% of all causes of mortality for the post-neonatal, child and 5-9 years of age respectively. 33% of all causes of mortality among those aged 5-9 years was a share of Injuries (22%) and gastrointestinal (11%). Regarding the deterministic pattern, nearly 30% of the new-borns and sick children died without access to formal care. Access to the treatment for the top five morbidities was after 4 days of symptoms' recognition. The childhood mortality risk factors were LBW, multiple births, having no partner, adolescence age, rural residence, low education level and belonging to a poor household, but their association was stronger among infants. CONCLUSIONS: We have identified the vulnerable groups at risk of mortality as LBW children, multiple births, rural dwellers, those whose mother are of low socio-economic position, adolescents and unmarried. The differences in causes of mortalities between children aged 0-5 and 5-9 years were noted. These findings suggest for a strong life-course approach in the design and implementation of child health interventions that target pregnant women and children of all ages.