AbstractBackgroundThe malaria test positivity rate (TPR) is increasingly used as an indicator of malaria morbidity because TPR is based on laboratory-confirmed cases and is simple to incorporate into existing surveillance systems. However, temporal trends in TPR may reflect changes in factors associated with malaria rather than true changes in malaria morbidity. This study examines the effects of age, area of residence and diagnostic test on TPR at two health facilities in regions of Uganda with differing malaria endemicity.MethodsThe analysis included data from diagnostic blood smears performed at health facilities in Walukuba and Aduku between January 2009 and December 2010. The associations between age and time and between age and TPR were evaluated independently to determine the potential for age to confound temporal trends in TPR. Subsequently, differences between observed TPR and TPR adjusted for age were compared to determine if confounding was present. A similar analysis was performed for area of residence. Temporal trends in observed TPR were compared to trends in TPR expected using rapid diagnostic tests, which were modelled based upon sensitivity and specificity in prior studies.ResultsAge was independently associated with both TPR and time at both sites. At Aduku, age-adjusted TPR increased relative to observed TPR due to the association between younger age and TPR and the gradual increase in age distribution. At Walukuba, there were no clear differences between observed and age-adjusted TPR. Area of residence was independently associated with both TPR and time at both sites, though there were no clear differences in temporal trends in area of residence-adjusted TPR and observed TPR at either site. Expected TPR with pLDH- and HRP-2-based rapid diagnostic tests (RDTs) was higher than observed TPR at all time points at both sites.ConclusionsAdjusting for potential confounders such as age and area of residence can ensure that temporal trends in TPR due to confounding are not mistakenly ascribed to true changes in malaria morbidity. The potentially large effect of diagnostic test on TPR can be accounted for by calculating and adjusting for the sensitivity and specificity of the test used.

Mental health disorders account for a heavy disease burden in Uganda. In order to provide culturally appropriate mental health prevention and treatment approaches, it is necessary to understand how mental health is conceptualized in the population. Three focus group discussions (FGDs) and 31 in-depth interviews (IDIs) were conducted with men and women aged 14 to 62 years residing in rural, urban, and semi-urban low-income communities in central and western Uganda to explore perceptions and knowledge of mental health. Interpretive thematic analysis was undertaken; results were organized through the lens of the mental health literacy framework. Environmental and societal stressors were identified as primary underlying causes of poor mental health. While participants recognized symptoms of poor mental health, gaps in mental health literacy also emerged. Mental health resources are needed in this setting and additional qualitative work assessing knowledge and attitudes toward mental health care seeking behavior can inform the development of acceptable integrated services.

PARP inhibitors have been proposed as a potential targeted therapy for patients with triple-negative (ER-, PR-, HER2-negative) breast cancers. However, it is as yet unclear as to whether single agent or combination therapy using PARP inhibitors would be mo

Current adherence assessments typically detect missed doses long after they occur. Real-time, wireless monitoring strategies for antiretroviral therapy may provide novel opportunities to proactively prevent virologic rebound and treatment failure. Wisepill, a wireless pill container that transmits a cellular signal when opened, was pilot tested in ten Ugandan individuals for 6 months. Adherence levels measured by Wisepill, unannounced pill counts, and self-report were compared with each other, prior standard electronic monitoring, and HIV RNA. Wisepill data was initially limited by battery life and signal transmission interruptions. Following device improvements, continuous data was achieved with median (interquartile range) adherence levels of 93% (87–97%) by Wisepill, 100% (99–100%) by unannounced pill count, 100% (100–100%) by self-report, and 92% (79–98%) by prior standard electronic monitoring. Four individuals developed transient, low-level viremia. After overcoming technical challenges, real-time adherence monitoring is feasible for resource-limited settings and may detect suboptimal adherence prior to viral rebound.

Background: Malaria thrives in poor tropical and subtropical countries where local resources are limited. Accurate disease forecasts can provide public and clinical health services with the information needed to implement targeted approaches for malaria control that make effective use of limited resources. The objective of this study was to determine the relevance of environmental and clinical predictors of malaria across different settings in Uganda. Methods: Forecasting models were based on health facility data collected by the Uganda Malaria Surveillance Project and satellite-derived rainfall, temperature, and vegetation estimates from 2006 to 2013. Facility-specific forecasting models of confirmed malaria were developed using multivariate autoregressive integrated moving average models and produced weekly forecast horizons over a 52-week forecasting period. Results: The model with the most accurate forecasts varied by site and by forecast horizon. Clinical predictors were retained in the models with the highest predictive power for all facility sites. The average error over the 52 forecasting horizons ranged from 26 to 128% whereas the cumulative burden forecast error ranged from 2 to 22%. Conclusions: Clinical data, such as drug treatment, could be used to improve the accuracy of malaria predictions in endemic settings when coupled with environmental predictors. Further exploration of malaria forecasting is necessary to improve its accuracy and value in practice, including examining other environmental and intervention predictors, including insecticide-treated nets.

Understanding the current epidemiology of malaria and the relationship between intervention coverage, transmission intensity, and burden of disease is important to guide control activities. We aimed to determine the prevalence of anemia, parasitemia, and s

Fishing communities in Uganda have high rates of excessive alcohol consumption and negative health outcomes related to alcohol consumption, such as HIV acquisition and transmission and intimate partner violence victimization and perpetration. Research lacks understanding of alcohol use in Ugandan fishing communities, underlying reasons for excessive drinking among fishermen or how their community perceives negative health outcomes linked to excessive alcohol consumption. This qualitative study was conducted among Ugandan fisherfolk to determine why excessive alcohol consumption has overtaken their communities. Through analyzing in-depth interviews and focus group discussions, reasons for drinking and community perceptions of drinking were explored using the Socio Ecological Model and the Time Perspective Theory. Interviews were coded into two content themes: social influences on drinking and using alcohol to cope with stress. Participants acknowledged links between excessive alcohol consumption and negative health outcomes within their families and communities. These findings highlight the need for alcohol-related reduction interventions that are sensitive to contextual factors and self-identified contributors to problematic alcohol use within individuals and their communities. Such interventions must consider the social, ecological and economic conditions within fishing sites, focusing not only on individual-level behavioral change but also challenging the underlying structures that foster excessive alcohol consumption.

Background

Malaria thrives in poor tropical and subtropical countries where local resources are limited. Accurate disease forecasts can provide public and clinical health services with the information needed to implement targeted approaches for malaria control that make effective use of limited resources. The objective of this study was to determine the relevance of environmental and clinical predictors of malaria across different settings in Uganda.

Methods

Forecasting models were based on health facility data collected by the Uganda Malaria Surveillance Project and satellite-derived rainfall, temperature, and vegetation estimates from 2006 to 2013. Facility-specific forecasting models of confirmed malaria were developed using multivariate autoregressive integrated moving average models and produced weekly forecast horizons over a 52-week forecasting period.

Results

The model with the most accurate forecasts varied by site and by forecast horizon. Clinical predictors were retained in the models with the highest predictive power for all facility sites. The average error over the 52 forecasting horizons ranged from 26 to 128% whereas the cumulative burden forecast error ranged from 2 to 22%.

Conclusions

Clinical data, such as drug treatment, could be used to improve the accuracy of malaria predictions in endemic settings when coupled with environmental predictors. Further exploration of malaria forecasting is necessary to improve its accuracy and value in practice, including examining other environmental and intervention predictors, including insecticide-treated nets.

Fishing communities in Uganda have high rates of excessive alcohol consumption and negative health outcomes related to alcohol consumption, such as HIV acquisition and transmission and intimate partner violence victimization and perpetration. Research lacks understanding of alcohol use in Ugandan fishing communities, underlying reasons for excessive drinking among fishermen or how their community perceives negative health outcomes linked to excessive alcohol consumption. This qualitative study was conducted among Ugandan fisherfolk to determine why excessive alcohol consumption has overtaken their communities. Through analyzing in-depth interviews and focus group discussions, reasons for drinking and community perceptions of drinking were explored using the Socio Ecological Model and the Time Perspective Theory. Interviews were coded into two content themes: social influences on drinking and using alcohol to cope with stress. Participants acknowledged links between excessive alcohol consumption and negative health outcomes within their families and communities. These findings highlight the need for alcohol-related reduction interventions that are sensitive to contextual factors and self-identified contributors to problematic alcohol use within individuals and their communities. Such interventions must consider the social, ecological and economic conditions within fishing sites, focusing not only on individual-level behavioral change but also challenging the underlying structures that foster excessive alcohol consumption.

A better understanding of case management practices is required to improve inpatient pediatric care in resource-limited settings. Here we utilize data from a unique health facility-based surveillance system at six Ugandan hospitals to evaluate the quality