Ugandan Men Exposed to Intimate Partner Violence: A Cross-Sectional Survey of Nationally Representative Data.

Although women typically constitute the largest proportion of the population who experience the deleterious effects of intimate partner violence (IPV), understanding the bidirectional nature of IPV is important for developing nuanced prevention initiatives. This study examines data from the 2016 Ugandan Demographic and Health Survey. Participants were selected from households in all the 15 regions in Uganda using a two stage sampling design. A total of 2858 men who were in a heterosexual union or separated/divorced were included in the analysis. Univariate and multivariable logistic regression analyses were performed with the aim of identifying associations between selected demographic variables and male exposure to all forms of IPV combined, psychological violence, physical violence and sexual violence. The prevalence of lifetime IPV and during the 12 months preceeding the survey respectively was 43.6 and 30.5% in all forms, with 35.9 and 24.8% reporting psychological, 20.2 and 11.9% for physical and 8.2 and 5.7% sexual violence. The key factors associated with all forms of IPV were being afraid of their wife/partner most of the time (OR = 5.10, 95% CI 2.91, 8.96) controlling behaviour of the intimate partner (OR = 3.80, 95% CI 2.84, 5.07), bi-directional violence against the partner (OR = 3.20, 95% CI 2.49, 4.12), alcohol consumption by the intimate partner (OR = 1.85, 95% CI 1.40, 2.45). The factors associated with males who experience IPV appear to be modifiable and may warrant consideration for inclusion in programs supporting both males and females who experience IPV.

"There are many fevers": Communities' perception and management of Febrile illness and its relationship with human animal interactions in South-Western Uganda.

Diagnosing the causative agent of febrile illness in resource-limited countries is a challenge in part due to lack of adequate diagnostic infrastructure to confirm cause of infection. Most febrile illnesses (>60%) are non-malarial, with a significant proportion being zoonotic and likely from animal origins. To better characterize the pathways for zoonotic disease transmission and control in vulnerable communities, adequate information on the communities' experiences and lexicon describing fever, and their understanding and perceptions of risk pathways is required. We undertook an ethnographic study to understand behaviors, exposures, and attitudes toward fever at the community level. Our hope is to better elucidate areas of priority surveillance and diagnostic investment. A focused ethnography consisting of participant observation, informal conversations, 4 barazas (community meetings), and formal ethnographic interviews (13 Focus group discussions and 17 Key informant interviews) was conducted between April and November 2015 in Kasese and Hoima Districts in Uganda. Perception of illness and associated risk factors was heavily influenced by the predominant livelihood activity of the community. The term "fever" referred to multiple temperature elevating disease processes, recognized as distinct pathological occurrences. However, malaria was the illness often cited, treated, or diagnosed both at the health facilities and through self-diagnosis and treatment. As expected, fever is as an important health challenge affecting all ages. Recognition of malarial fever was consistent with a biomedical model of disease while non-malarial fevers were interpreted mainly through ethno etiological models of explanation. These models are currently being used to inform education and prevention strategies and treatment regimens toward the goal of improving patients' outcomes and confidence in the health system. Development of treatment algorithms that consider social, cultural, and economic contexts, especially where human-animal interaction is prevalent, should factor animal exposure and zoonotic illnesses as important differentials.

Determinants of loss to follow-up among HIV positive patients receiving antiretroviral therapy in a test and treat setting: A retrospective cohort study in Masaka, Uganda.

BACKGROUND: Retaining patients starting antiretroviral therapy (ART) and ensuring good adherence remain cornerstone of long-term viral suppression. In this era of test and treat (T&T) policy, ensuring that patients starting ART remain connected to HIV clinics is key to achieve the UNAIDS 90-90-90 targets. Currently, limited studies have evaluated the effect of early ART initiation on loss to follow up in a routine health care delivery setting. We studied the cumulative incidence, incidence rate of loss to follow up (LTFU), and factors associated with LTFU in a primary healthcare clinic that has practiced T&T since 2012. METHODS: We retrospectively analyzed extracted routine program data on patients who started ART from January 2012 to 4th July 2016. We defined LTFU as failure of a patient to return to the HIV clinic for at least 90 days from the date of their last appointment. We calculated cumulative incidence, incidence rate and fitted a multivariable Cox proportion hazards regression model to determine factors associated with LTFU. RESULTS: Of the 7,553 patients included in our sample, 3,231 (42.8%) started ART within seven days following HIV diagnosis. There were 1,180 cases of LTFU observed over 15,807.7 person years at risk. The overall incidence rate (IR) of LTFU was 7.5 (95% CI, 7.1-7.9) per 100 person years of observation (pyo). Cumulative incidence of LTFU increased with duration of follow up from 8.9% (95% CI, 8.2-9.6%) at 6 months to 20.2% (95% CI, 19.0-21.4%) at 48 months. Predictors of elevated risk of LTFU were: starting ART within 7 days following HIV diagnosis ((aHR) = 1.69, 95% CI, 1.50-1.91), lack of a telephone set (aHR = 1.52, 95% CI, 1.35-1.71), CD4 cell count of 200-350µ/ml (aHR = 1.21, 95% CI, 1.01-1.45) and baseline WHO clinical stage 3 or 4 (aHR = 1.35, 95% CI, 1.10-1.65). Factors associated with a reduced risk of LTFU were: baseline age ≥25 years (aHR ranging from 0.62, 95% CI, 0.47-0.81 for age group 25-29 years to 0.24, 95% CI, 0.13-0.44 for age group ≥50 years), at least primary education level (aHR ranging from aHR = 0.77, 95% CI, 0.62-0.94 for primary education level to 0.50, 95% CI, 0.34-0.75 for post-secondary education level), and having a BMI ≥ 30 (aHR = 0.28, 95% CI, 0.15-0.51). CONCLUSION: The risk of loss to follow up increased with time and was higher among patients who started ART within seven days following HIV diagnosis, higher among patients without a telephone set, lower among patients aged ≥ 25 years, lower among patients with at least primary education and lower among patients with BMI of ≥ 30. In this era of T&T, it will be important for HIV programs to initiate and continue enhanced therapeutic education programs that target high risk groups, as well as leveraging on mHealth to improve patients' retention on ART throughout the cascade of care.