Browsing by Author "Ouma, Joseph"

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    Electronic Medical Records and Same Day Patient Tracing Improves Clinic Efficiency and Adherence to Appointments in a Community Based HIV/AIDS Care Program, in Uganda
    (AIDS and Behavior, 2012) Alamo, Stella T.; Wagner, Glenn J.; Sunday, Pamela ,; Wanyenze, Rhoda K.; Ouma, Joseph; Kamya, Moses; Colebunders, Robert; Wabwire-Mangen, Fred
    Patients who miss clinic appointments make unscheduled visits which compromise the ability to plan for and deliver quality care. We implemented Electronic Medical Records (EMR) and same day patient tracing to minimize missed appointments in a community-based HIV clinic in Kampala. Missed, early, on-schedule appointments and waiting times were evaluated before (pre- EMR) and 6 months after implementation of EMR and patient tracing (post-EMR). Reasons for missed appointments were documented pre and post-EMR. The mean daily number of missed appointments significantly reduced from 21 pre-EMR to 8 post-EMR. The main reason for missed appointments was forgetting (37%) but reduced significantly by 30% post-EMR. Loss to followup (LTFU) also significantly decreased from 10.9 to 4.8% The total median waiting time to see providers significantly decreased from 291 to 94 min. Our findings suggest that EMR and same day patient tracing can significantly reduce missed appointments, and LTFU and improve clinic efficiency.
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    Maternal, Neonatal, Child, Sexual and Reproductive Health Services in Kampala, Uganda
    (medRxiv., 2021) Burt, Jessica; Ouma, Joseph; Amone, Alexander; Aol, Lorna; Sekikubo, Musa; Nakimuli, Annettee; Nakabembe, Eve; Mboizi, Robert; Musoke, Philippa; Kyohere, Mary; Namara, Emily; Khalil, Asma; Doare, Kirsty Le
    COVID-19 has impacted global maternal, neonatal and child health outcomes. We hypothesised that the early, strict lockdown which severely limited the movements of individuals in Uganda will have impacted access to services. An observational study, using routinely collected health data from Electronic Medical Records was carried out, utilising data from July 2019 to December 2020 in Kawempe district, Kampala. The mean and 95% confidence intervals were calculated pre-COVID (July 2019 – February 2020) and post-COVID (March-December 2020). The means were compared using t-tests, and the monthly totals analysed as to whether they lay within or outside the normal range, compared to the previous 9 months. Antenatal attendances decreased 96% in April 2020 and remain below pre-COVID levels. We found a rise in adverse pregnancy outcomes for Caesarean sections (5%), haemorrhages related to pregnancy (51%), stillbirths (31%) and low-birth-weight (162%) and premature infant births (400%). We noted a drop in neonatal unit admissions, immunisation clinic attendance and delivery of all vaccinations except measles. There was an immediate drop in clinic attendance for prevention of mother to child transmission of HIV (now stabilised) and an increase of 348% in childhood malnutrition clinic attendance. Maternal and neonatal deaths, immediate post-natal care and contraceptive provision remained within normal limits.The response to COVID-19 in Uganda has negatively impacted maternal, child and neonatal health, with the biggest and longest lasting impact seen in complications of pregnancy, stillbirths and low-birthweight infants likely due to delayed care-seeking behaviour. The decline in vaccination clinic attendance has implications for all vaccine-preventable diseases, with a cohort of infants currently unprotected. Further consideration of the impacts of restricting movement and limiting access to preventative services must be undertaken in responding to future pandemics if key maternal and child health services are to be maintained.
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    Model-Based Small Area Estimation Methods and Precise District-Level HIV Prevalence Estimates in Uganda
    (PloS one, 2021) Ouma, Joseph; Jeffery, Caroline; Awor, Colletar Anna; Muruta, Allan; Musinguzi, Joshua; Wanyenze, Rhoda K.; Biraro, Sam; Levin, Jonathan; Valadez, Joseph J.
    Model-based small area estimation methods can help generate parameter estimates at the district level, where planned population survey sample sizes are not large enough to support direct estimates of HIV prevalence with adequate precision. We computed district-level HIV prevalence estimates and their 95% confidence intervals for districts in Uganda.Our analysis used direct survey and model-based estimation methods, including Fay-Herriot (area-level) and Battese-Harter-Fuller (unit-level) small area models. We used regression analysis to assess for consistency in estimating HIV prevalence. We use a ratio analysis of the mean square error and the coefficient of variation of the estimates to evaluate precision. The models were applied to Uganda Population-Based HIV Impact Assessment 2016/2017 data with auxiliary information from the 2016 Lot Quality Assurance Sampling survey and antenatal care data from district health information system datasets for unit-level and area-level models, respectively.Estimates from the model-based and the direct survey methods were similar. However, direct survey estimates were unstable compared with the model-based estimates. Area-level model estimates were more stable than unit-level model estimates. The correlation between unit-level and direct survey estimates was (β1 = 0.66, r2 = 0.862), and correlation between area-level model and direct survey estimates was (β1 = 0.44, r2 = 0.698). The error associated with the estimates decreased by 37.5% and 33.1% for the unit-level and area-level models, respectively, compared to the direct survey estimates.Although the unit-level model estimates were less precise than the area-level model estimates, they were highly correlated with the direct survey estimates and had less standard error associated with estimates than the area-level model. Unit-level models provide more accurate and reliable data to support local decision-making when unit-level auxiliary information is available.
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    Provider-initiated HIV testing for paediatric inpatients and their caretakers is feasible and acceptable
    (Tropical Medicine & International Health, 2019) Wanyenze, Rhoda K.; Nawavvu, Cecilia; Ouma, Joseph; Namale, Alice; Colebunders, Robert; Kamya, Moses R.
    Early diagnosis of HIV-infected children remains a major challenge in Africa. Children who are hospitalised represent an opportunity for HIV diagnosis and appropriate treatment. We introduced HIV Counselling and Testing (HCT) for hospitalised children and their caretakers in Mulago teaching hospital in Uganda to assess its feasibility. methods We analysed routine program data for children and caretakers who were tested between February 2005 and February 2008 to assess the proportion of children and caretakers who were HIV- infected. We also assessed the level of immune suppression (CD4 percentage) in a subset of HIV infected children tested between January 2007 and December 2007. results Caretakers agreed to HIV testing for 8990 (92.8%) of the 9687 children who were offered HIV testing. Among the caretakers, 89.8% agreed to be tested. At the time of hospitalization, 41.3% of the caretakers had previously tested for HIV. Although 313 parents (mothers and fathers) reported that they had previously tested HIV positive, only 113 (36.3%) of these had tested their children prior to hospitalization. Overall HIV prevalence among caretakers was 16.7%. HIV prevalence among children was 12.4%, highest on the nutrition ward (30.8%). Of those children who underwent CD4 counts, 56.4% had a CD4 percentage of <20%. conclusion HCT for hospitalized children and their caretakers identified a significant number of HIV infected children and caretakers. More than half of the children had advanced HIV disease. More intensive efforts are needed to ensure earlier diagnosis and linkage to care for HIV infected children.
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    SARS-CoV-2 seroprevalence among blood donors in Uganda: 2019–2022
    (John Wiley & Sons, Ltd, 2023-05-16) Bloch, Evan M; Kyeyune, Dorothy; White, Jodie L; Ddungu, Henry; Ashokkumar, Swetha; Habtehyimer, Feben; Baker, Owen; Kasirye, Ronnie; Patel, Eshan U.; Grabowski, M. Kate; Musisi, Ezra; Moses, Khan; Hume, Heather A; Lubega, Irene; Shrestha, Ruchee; Motevalli, Mahnaz; Fernandez, Reinaldo E; Reynolds, Steven J; Redd, Andrew D; Wambongo Musana, Hellen; Dhabangi, Aggrey; Ouma, Joseph; Eroju, Priscilla; Lange, Telsa; Fowler, Mary Glenn; Musoke, Philippa; Stramer, Susan L.; Whitby, Denise; Zimmerman, Peter A; McCullough, Jeffrey; Sachithanandham, Jaiprasath; Pekosz, Andrew; Goodrich, Raymond; Quinn, Thomas C; Ness, Paul M.; Laeyendecker, Oliver; Tobian, Aaron A. R.
    Abstract Abstract Background The true burden of COVID‐19 in low‐ and middle‐income countries remains poorly characterized, especially in Africa. Even prior to the availability of SARS‐CoV‐2 vaccines, countries in Africa had lower numbers of reported COVID‐19 related hospitalizations and deaths than other regions globally. Methods Ugandan blood donors were evaluated between October 2019 and April 2022 for IgG antibodies to SARS‐CoV‐2 nucleocapsid (N), spike (S), and five variants of the S protein using multiplexed electrochemiluminescence immunoassays (MesoScale Diagnostics, Rockville, MD). Seropositivity for N and S was assigned using manufacturer‐provided cutoffs and trends in seroprevalence were estimated by quarter. Statistically significant associations between N and S antibody seropositivity and donor characteristics in November–December 2021 were assessed by chi‐square tests. Results A total of 5393 blood unit samples from donors were evaluated. N and S seropositivity increased throughout the pandemic to 82.6% in January–April 2022. Among seropositive individuals, N and S antibody levels increased ≥9‐fold over the study period. In November–December 2021, seropositivity to N and S antibody was higher among repeat donors (61.3%) compared with new donors (55.1%; p = .043) and among donors from Kampala (capital city of Uganda) compared with rural regions ( p = .007). Seropositivity to S antibody was significantly lower among HIV‐seropositive individuals (58.8% vs. 84.9%; p = .009). Conclusions Despite previously reported low numbers of COVID‐19 cases and related deaths in Uganda, high SARS‐CoV‐2 seroprevalence and increasing antibody levels among blood donors indicated that the country experienced high levels of infection over the course of the pandemic.