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IntroductionAntibacterial utilization studies can help identify areas of intervention of antimicrobial stewardship programs (ASP) to facilitate rational use and prevent the emergence of antimicrobial resistance (AMR). Assessment and comparison of antibacterial utilization depend on the Anatomical Therapeutic Chemical (ATC) classification system and Defined Daily Dose (DDD) recommended by the World Health Organization (WHO) collaborative center for international drug monitoring. This study aimed to determine the DDD of each prescribed antibacterial group and the proportions of wide-spectrum antibacterials used at Muhimbili National Hospital (MNH) in Tanzania to allow baseline data for hospital ASPs.MethodsA retrospective analytical study using data collected from 1st January 2015 to 31st December 2015 was undertaken at MNH. Data on antibacterials prescribed and dispensed were obtained from the MNH database. The ATC/DDD system was used to classify and quantify the antibacterial utilization patterns.ResultsA total of 10,643.1 DDDs were used in thirteen ward units at the Kibasila, Mwaisela and Sewahaji blocks of the MNH. Eighteen different antibacterials were prescribed and dispensed to 1496 patients. Capsules were the most dispensed dosage form. The drug ciprofloxacin was the leading antibacterial prescribed, with a DDD of about 3780 (35.5%) per year. This was followed by metronidazole and amoxicillin. The proportion of wide-spectrum antibacterials was as high as 66%. Utilization peaks were noted in April, July and September. There was a significant monthly increase in antibacterials utilization between January and December 2015 (p-value = 0.002, R-square = 0.64). The trends forecasted increased through June 2016.ConclusionsUtilization trends indicated a significant monthly increase in 2015 at MNH wards in Tanzania. The use of wide-spectrum antibacterials was widespread. This calls for continued antibacterial utilization surveillance and implementation of hospital-based ASP to mitigate the rapidly rising global threat of AMR.

BackgroundThe travel distance from home to a treatment centre, which may impact the stage at diagnosis, has not been investigated for retinoblastoma, the most common childhood eye cancer. We aimed to investigate the travel burden and its impact on clinical presentation in a large sample of patients with retinoblastoma from Africa and Europe.MethodsA cross-sectional analysis including 518 treatment-naïve patients with retinoblastoma residing in 40 European countries and 1024 treatment-naïve patients with retinoblastoma residing in 43 African countries.ResultsCapture rate was 42.2% of expected patients from Africa and 108.8% from Europe. African patients were older (95% CI −12.4 to −5.4, pConclusionsFewer than half the expected number of patients with retinoblastoma presented to African referral centres in 2017, suggesting poor awareness or other barriers to access. Despite the relatively shorter distance travelled by African patients, they presented with later-stage disease. Health education about retinoblastoma is needed for carers and health workers in Africa in order to increase capture rate and promote early referral.

IntroductionInjury-related morbidity is a neglected health concern in many low-income and middle-income countries. Most injury data in Africa have been collected from hospital-based studies, and few studies have occurred across multiple countries. Using data from a novel cohort, we examined the prevalence and incidence of serious injuries and associated risk factors across five sites in sub-Saharan Africa (SSA).MethodsA common baseline and follow-up survey was administered to participants. The study population included 1316 persons at baseline and 904 persons at follow-up. Frequencies were calculated, and logistic regression models were used to assess risk factors for injury.ResultsA total of 233 (17.7%) persons reported a serious injury at baseline and 60 (6.6%) reported a serious injury 6 months later at follow-up. Sixty-nine per cent of participants responded to the follow-up questionnaire. At baseline and follow-up, the most common cause of serious injury at urban sites was transport related, followed by poison/overdose. In rural Uganda, sharp instruments injuries were most common, followed by transport-related injuries. Living at an urban site was associated with an increased odds for serious injury compared with those at the rural site (OR: 1.83, 95% CI 1.15 to 2.90). Participants who consumed above a moderate amount of alcohol were at a higher risk of serious injury compared with those who did not consume alcohol (OR: 1.86, 95% CI 1.02 to 3.41). High level of education was an important risk factor for injury.ConclusionAt baseline and follow-up, common causes of serious injury were transport related, sharp instrument and poison/overdose. Alcohol consumption, urban location and education are important risk factors for injury. It is feasible to collect longitudinal injury data using a standardised questionnaire across multiples sites in SSA. Longitudinal data collection should be leveraged to obtain robust data on risk factors for injury in SSA.

Background Overweight and obesity are on the rise in developing countries including sub-Saharan Africa. We undertook a four-country survey to show the collective burden of these health conditions as they occur currently in sub-Saharan Africa and to determine the differences between urban and rural populations and other socio-economic factors. Methods Participants were nurses in two hospitals in Nigeria (200), school teachers in South Africa (489) and Tanzania (229), and village residents in one peri-urban (297) and one rural location in Uganda (200) who completed a standardised questionnaire. Their height and weight were measured and body mass index calculated. Factor analysis procedure (Principal component) was used to generate a wealth index. Univariate and multivariate analyses with binary logistic regression models were conducted to examine the associations between potential correlates and the prevalence of overweight and obesity with 95 % confidence intervals. Results The prevalence of overweight and obese (combined) was 46 %, 48 %, 68 %, 75 % and 85 % in rural Uganda, peri-urban Uganda, Nigeria, Tanzania and South Africa (SA), respectively. Rural Uganda, Peri- urban Uganda, Nigeria, Tanzania and SA had obesity prevalence of 10 %, 14 %, 31 %, 40 % and 54 %, respectively (p =25 kg/m2 in Nigeria [Age > =45 - AOR = 9.11; 95 % CI: 1.72, 48.16] and SA [AOR = 6.22; 95 % CI: 2.75, 14.07], while marital status was predictor of BMI > =25 kg/m2 only in peri-urban Uganda. [Married - AOR = 4.49; 95 % CI: 1.74, 11.57]. Those in Nigeria [AOR = 2.56; 95 % CI: 1.45, 4.53], SA [AOR = 4.97; 95 % CI: 3.18, 7.78], and Tanzania [AOR = 2.68; 95 % CI: 1.60, 4.49] were more likely to have BMI > =25 kg/m2 compared with the rural and peri-urban sites. Conclusion The high prevalence of overweight and obesity in these sub-Saharan African countries and the differentials in prevalence and risk factors further highlights the need for urgent focused intervention to stem this trend, especially among women, professionals and urban dwellers.

ObjectiveTo identify predominant dietary patterns in four African populations and examine their association with obesity.DesignCross-sectional study.Setting/SubjectsWe used data from the Africa/Harvard School of Public Health Partnership for Cohort Research and Training (PaCT) pilot study established to investigate the feasibility of a multi-country longitudinal study of non-communicable chronic disease in sub-Saharan Africa. We applied principal component analysis to dietary intake data collected from an FFQ developed for PaCT to ascertain dietary patterns in Tanzania, South Africa, and peri-urban and rural Uganda. The sample consisted of 444 women and 294 men.ResultsWe identified two dietary patterns: the Mixed Diet pattern characterized by high intakes of unprocessed foods such as vegetables and fresh fish, but also cold cuts and refined grains; and the Processed Diet pattern characterized by high intakes of salad dressing, cold cuts and sweets. Women in the highest tertile of the Processed Diet pattern score were 3·00 times more likely to be overweight (95 % CI 1·66, 5·45; prevalence=74 %) and 4·24 times more likely to be obese (95 % CI 2·23, 8·05; prevalence=44 %) than women in this pattern’s lowest tertile (both PConclusionsWe identified two major dietary patterns in several African populations, a Mixed Diet pattern and a Processed Diet pattern. The Processed Diet pattern was associated with obesity.

In sub-Saharan Africa, there are limited data on burden of non-alcohol substance abuse (NAS) and depressive symptoms (DS), yet potential risk factors such as alcohol and intimate partner violence (IPV) are common and NAS abuse may be the rise. The aim of this study was to measure the burden of DS and NAS abuse, and determine whether alcohol use and IPV are associated with DS and/or NAS abuse. We conducted a cross-sectional study at five sites in four countries: Nigeria (nurses), South Africa (teachers), Tanzania (teachers) and two sites in Uganda (rural and peri-urban residents). Participants were selected by simple random sampling from a sampling frame at each of the study sites. We used a standardized tool to collect data on demographics, alcohol use and NAS use, IPV and DS and calculated prevalence ratios (PR). We enrolled 1415 respondents and of these 34.6% were male. DS occurred among 383 (32.3%) and NAS use among 52 (4.3%). In the multivariable analysis, being female (PR = 1.49, p = 0.008), NAS abuse (PR = 2.06, p = 0.02) and IPV (PR = 2.93, p p p = 0.036) were protective of NAS but current smokers (OR = 2.98, p p = 0.024) were more likely to use NAS. Longitudinal studies should be done to establish temporal relationships with these risk factors to provide basis for interventions.

Background : The increase in prevalence of diabetes and pre-diabetes in sub-Saharan Africa underlines the importance of understanding its magnitude and causes in different population groups. We analyzed data from the Africa/Harvard Partnership for Cohort Research and Training (PaCT) studies to determine the prevalence of diabetes and pre-diabetes and risk factors associated with diabetes. Methodology : Participants were randomly selected from peri-urban ( n =297) and rural ( n =200) communities in Uganda, and teachers were recruited from schools ( n =229) in urban Tanzania. We used a standardized questionnaire to collect socio-demographic and self-reported disease status including diabetes status. Blood glucose was also measured after participants fasted for 8 h. We used standard protocols for anthropometric and blood pressure measurement. Results : The overall prevalence of diabetes was 10.1% and was highest in rural Ugandan residents (16.1%) compared to teachers in Tanzania (8.3%) and peri-urban Ugandan residents (7.6%). The prevalence of pre-diabetes was 13.8%. The prevalence of self-reported diabetes was low across all sites, where 68% of participants with diabetes were not captured by self-report. In multivariable logistic regression analysis, family history (OR 2.5, 95% CI: 1.1, 5.6) and hypertension (OR 2.3, 95% CI: 1.1, 5.2) were significantly associated with diabetes. Conclusions : The prevalence of diabetes and pre-diabetes in Uganda and Tanzania is high, differs markedly between population groups, and remains undiagnosed in an alarmingly high proportion of individuals. These findings highlight the need for large-scale, prospective studies to accurately quantify the burden and identify effective intervention and treatment strategies across diverse African populations. Keywords: non-communicable; risk factors; underdiagnoses; sub-Saharan Africa; Tanzania; Uganda (Published: 23 May 2016) Citation: Glob Health Action 2016, 9: 31440 - http://dx.doi.org/10.3402/gha.v9.31440

Background Dietary changes characterized by a reduction in carbohydrate quality are occurring in developing countries and may be associated with a higher prevalence of obesity and chronic diseases such as type 2 diabetes mellitus. We assessed the preferences and acceptability of unrefined whole grain carbohydrate staples (i.e., brown rice, unrefined maize and unrefined sorghum ugali) as substitutes for commonly consumed refined carbohydrates in Tanzania. Methods A questionnaire was used to collect sociodemographic information and dietary habits, and pre-and post-tasting questionnaires were administered for test foods. A 10-point LIKERT scale was used to rate attributes of the three test foods. Results White rice and refined maize ugali were the most commonly consumed carbohydrate staples in this population; 98% and 91%, respectively. Occasional consumption of unrefined maize and sorghum ugali was reported by 32% and 23% of the participants, respectively. All of the test foods were highly rated for smell, taste, color, appearance and texture. Taste was rated highest for unrefined maize ugali. Almost all of the participants were willing to participate in a future dietary intervention involving regular consumption of these unrefined carbohydrates for at least six months duration. Conclusions These findings suggest that whole grain carbohydrates are highly acceptable, and that there is a promising potential for their use in future dietary intervention studies in Tanzania.

Background Hypertension, the leading single cause of morbidity and mortality worldwide, is a growing public health problem in sub-Saharan Africa (SSA). Few studies have estimated and compared the burden of hypertension across different SSA populations. We conducted a cross-sectional analysis of blood pressure data collected through a cohort study in four SSA countries, to estimate the prevalence of pre-hypertension, the prevalence of hypertension, and to identify the factors associated with hypertension. Methods Participants were from five different population groups defined by occupation and degree of urbanization, including rural and peri-urban residents in Uganda, school teachers in South Africa and Tanzania, and nurses in Nigeria. We used a standardized questionnaire to collect data on demographic and behavioral characteristics, injuries, and history of diagnoses of chronic diseases and mental health. We also made physical measurements (weight, height and blood pressure), as well as biochemical measurements; which followed standardized protocols across the country sites. Modified Poison regression modelling was used to estimate prevalence ratios (PR) as measures of association between potential risk factors and hypertension. Results The overall age-standardized prevalence of hypertension among the 1216 participants was 25.9 %. Prevalence was highest among nurses with an age-standardized prevalence (ASP) of 25.8 %, followed by school teachers (ASP = 23.2 %), peri-urban residents (ASP = 20.5 %) and lowest among rural residents (ASP = 8.7 %). Only 50.0 % of participants with hypertension were aware of their raised blood pressure. The overall age-standardized prevalence of pre-hypertension was 21.0 %. Factors found to be associated with hypertension were: population group, older age, higher body mass index, higher fasting plasma glucose level, lower level of education, and tobacco use. Conclusions The prevalence of hypertension and pre-hypertension are high, and differ by population group defined by occupation and degree of urbanization. Only half of the populations with hypertension are aware of their hypertension, indicating a high burden of undiagnosed and un-controlled high blood pressure in these populations.