Leonard Atuhaire

Pain among ambulatory HIV/AIDS patients: multicenter study of prevalence, intensity, associated factors, and effect.

UNLABELLED This study aimed to determine the prevalence, intensity, associated factors, and effect of pain among ambulatory HIV/AIDS patients. Three-hundred two adult ambulatory HIV/AIDS patients were consecutively recruited from HIV/AIDS outpatient clinics at 2 teaching hospitals in Uganda. The presence and intensity of pain were self-reported using the Brief Pain Inventory (BPI); symptom data were collected using the Memorial Symptom Assessment Scale (MSAS-SF); and quality of life (QOL) was assessed using the Medical Outcome Scale-HIV. Forty-seven percent reported pain in the 7 days prior to the survey and pain was a symptom at the time of diagnosis for 68%. On the 0 to 10 numeric scale, 53% reported mild pain (1-4 rating), 20% reported moderate pain (5-6 rating) while 27% reported severe pain (7-10 rating). Gender was not associated with pain intensity, but reduced functional performance, increasing number of symptoms, advanced HIV disease , physical symptom distress (MSAS-SF), and number of health comorbidities were significantly associated with pain intensity (P < .04). Increasing pain intensity was associated with greater functional ability impairment (BPI functional interference index) and poorer QOL. Pain is a common symptom among ambulatory HIV/AIDS patients and has a debilitating effect on QOL. There is a significant unmet need for pain relief in the population. PERSPECTIVE This article discusses the characteristics and effect of pain on function and QOL in East African patients. It also contributes information on characteristics of HIV/AIDS adult patients in the East Africa demonstrating the aspects in which pain is similar across different cultures.

Examining small area estimation techniques for public health intervention: lessons from application to under-5 mortality data in Uganda.

In Uganda, estimates of under-5 mortality are available only at national and regional levels. None exist at decentralized levels of governance or district level. Using small area statistical techniques in a Hierarchical Bayesian Framework, we applied a modeling approach to determine whether we could learn how to target health interventions to reduce under-5 mortality at the district level. Our modeling approach has an advantage over the commonly used Standardized Mortality Ratios, as it estimates the relative risk of under-5 mortality for a particular district. Using data from Ugandas Demographic and Health Survey in 2006, we were able to estimate relative risk of under-5 mortality for each district. Our findings reveal the evidence of district-to-district variations in under-5 mortality with potential spatial clustering. We believe that this information will be useful in Uganda, as interventions can be targeted at districts with higher relative risk of under-5 mortality. Discussion of these results at district level could increase funding for primary health-care activities. Our analysis also suggests the utility of small area techniques for other countries and other health problems.

Is Symptom Burden Associated with Treatment Status and Disease Stage among Adult HIV Outpatients in East Africa

BACKGROUND Symptom distress is poorly described in persons living with HIV, with limited attention paid to physical and psychological symptom prevalence to inform optimal clinical care. OBJECTIVES The study objective was to measure seven-day-period prevalence of symptoms among HIV-infected adult outpatients and determine if self-reported symptom burden is associated with antiretroviral therapy (ART), CD4 T-cell count, and clinical disease stage. METHODS Adult patients were consecutively recruited from HIV outpatient clinics at two referral and teaching hospitals in Uganda. Of 343 patients approached, 302 (88%) participated. Patients described symptoms during the previous week using the Memorial Symptom Assessment Scale Short Form, and level of physical functionality using the Karnofsky Performance Status (KPS) tool on the interview day. RESULTS A high symptom burden was reported, with the most prevalent being worry (94%), feeling sad (92%), hunger (82%), feeling nervous (75%), and feeling drowsy/tired (62%). Patients with KPS scores of <70 reported more symptoms (23 versus 10; F=289.68, P<0.001) and higher symptom distress (P<0.04 for all analyses). Neither ART nor CD4 T-cell count were associated with symptom burden. WHO clinical stage 4 was associated with psychological symptom burden (OR 2.94, P=0.011, CI 1.281-6.735). Men were more likely to experience higher symptom burden. CONCLUSION In the ART era, ambulatory HIV/AIDS patients continue to experience a high physical and psychological symptom burden. For those with advanced disease, psychological symptoms are particularly important. It is important to be observant of gender differences in patterns of symptom distress in HIV outpatient care settings. The high prevalence of hunger warrants attention as it may compromise ART initiation and adherence to ART.

A novel symptom cluster analysis among ambulatory HIV/AIDS patients in Uganda

Symptom clusters are gaining importance given HIV/AIDS patients experience multiple, concurrent symptoms. This study aimed to: determine clusters of patients with similar symptom combinations; describe symptom combinations distinguishing the clusters; and evaluate the clusters regarding patient socio-demographic, disease and treatment characteristics, quality of life (QOL) and functional performance. This was a cross-sectional study of 302 adult HIV/AIDS outpatients consecutively recruited at two teaching and referral hospitals in Uganda. Socio-demographic and seven-day period symptom prevalence and distress data were self-reported using the Memorial Symptom Assessment Schedule. QOL was assessed using the Medical Outcome Scale and functional performance using the Karnofsky Performance Scale. Symptom clusters were established using hierarchical cluster analysis with squared Euclidean distances using Ward’s clustering methods based on symptom occurrence. Analysis of variance compared clusters on mean QOL and functional performance scores. Patient subgroups were categorised based on symptom occurrence rates. Five symptom occurrence clusters were identified: Cluster 1 (n = 107), high–low for sensory discomfort and eating difficulties symptoms; Cluster 2 (n = 47), high–low for psycho-gastrointestinal symptoms; Cluster 3 (n = 71), high for pain and sensory disturbance symptoms; Cluster 4 (n = 35), all high for general HIV/AIDS symptoms; and Cluster 5 (n = 48), all low for mood-cognitive symptoms. The all high occurrence cluster was associated with worst functional status, poorest QOL scores and highest symptom-associated distress. Use of antiretroviral therapy was associated with all high symptom occurrence rate (Fisher’s exact = 4, P < 0.001). CD4 count group below 200 was associated with the all high occurrence rate symptom cluster (Fisher’s exact = 41, P < 0.001). Symptom clusters have a differential, affect HIV/AIDS patients’ self-reported outcomes, with the subgroup experiencing high-symptom occurrence rates having a higher risk of poorer outcomes. Identification of symptom clusters could provide insights into commonly co-occurring symptoms that should be jointly targeted for management in patients with multiple complaints.

Health and human rights: a statistical measurement framework using household survey data in Uganda

BackgroundHealth is intertwined with human rights as is clearly reflected in the right to life. Promotion of health practices in the context of human rights can be accomplished if there is a better understanding of the level of human rights observance. In this paper, we evaluate and present an appraisal for a possibility of applying household survey to study the determinants of health and human rights and also derive the probability that human rights are observed; an important ingredient into the national planning framework.MethodsData from the Uganda National Governance Baseline Survey were used. A conceptual framework for predictors of a hybrid dependent variable was developed and both bivariate and multivariate statistical techniques employed. Multivariate post estimation computations were derived after evaluations of the significance of coefficients of health and human rights predictors.ResultsFindings, show that household characteristics of respondents considered in this study were statistically significant (p < 0.05) to provide a reliable assessment of human rights observance. For example, a unit increase of respondents’ schooling levels results in an increase of about 34% level of positively assessing human rights observance. Additionally, the study establishes, through the three models presented, that household assessment of health and human rights observance was 20% which also represents how much of the entire continuum of human rights is demanded.ConclusionFindings propose important evidence for monitoring and evaluation of health in the context human rights using household survey data. They provide a benchmark for health and human rights assessments with a focus on international and national development plans to achieve socio-economic transformation and health in society.