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Judith Owokuhaisa,1 Catherine N Abaasa,2 Rose Muhindo,3 Pius Musinguzi,4 Godfrey Zari Rukundo5 1Faculty of Medicine, Department of Physiotherapy, Mbarara University of Science and Technology, Mbarara, Uganda; 2Faculty of Medicine, Department of Medical Laboratory Sciences, Mbarara University of Science and Technology, Mbarara, Uganda; 3Faculty of Medicine, Department of Internal Medicine, Mbarara University of Science and Technology, Mbarara, Uganda; 4Faculty of Medicine, Department of Nursing, Mbarara University of Science and Technology, Mbarara, Uganda; 5Faculty of Medicine, Department of Psychiatry, Mbarara University of Science and Technology, Mbarara, UgandaCorrespondence: Judith Owokuhaisa, Email jowokuhaisa@must.ac.ugBackground: Screening for kidney disease (KD) among high-risk patients (patients with hypertension or diabetes) allows early diagnosis, intervention and delayed progression of the disease. In low- and middle-income countries (LMIC), KD screening is still sub-optimal. This study explored the healthcare providers’ perceived barriers and facilitators to KD screening among older adults with hypertension and diabetes in Mbarara southwestern Uganda.Methods: This was a descriptive qualitative study among healthcare providers caring for older adults with diabetes mellitus and hypertension at Mbarara Regional Referral Hospital (MRRH) in southwestern Uganda. In-depth interviews were conducted using a semi-structured interview guide. Interviews were audio-recorded, transcribed verbatim, and thematically analyzed to develop themes of barriers and facilitators.Results: We conducted 30 in-depth interviews among healthcare providers. Barriers to screening for kidney disease included patient related factors according to healthcare providers (financial hardships, poor health seeking behavior, limited knowledge and awareness), healthcare factors (work overload, ineffective patient healthcare provider communication) and system/policy related factors (lack of lab

Tonny Kyagambiddwa,1,&ast; Timothy Mwanje Kintu,1,&ast; Emmanuel Miiro,1,&ast; Franchesca Nabalamba,1 Gloria Suubi Asiimwe,1 Anne Marion Namutebi,2 Fardous C Abeya,3 Boniface A Lumori,3 Isaac Ijuka,4 Rose K Muhindo,1,3 Andrew Mutekanga,1,3 Richard Musinguzi,5 Francis Natuhwera,6 Joseph Ngonzi,1,7 Edwin Nuwagira3,8 1Faculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda; 2Kabale Regional Referral Hospital, Kabale, Uganda; 3Department of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda; 4Mayanja Memorial Hospital, Mbarara, Uganda; 5Masaka Regional Referral Hospital, Masaka, Uganda; 6Fort Portal Regional Referral Hospital, Fort Portal, Uganda; 7Department of Obstetrics and Gynecology, Mbarara University of Science and Technology, Mbarara, Uganda; 8Tuberculosis Treatment Unit, Mbarara Regional Referral Hospital, Mbarara, Uganda&ast;These authors contributed equally to this workCorrespondence: Tonny Kyagambiddwa; Edwin Nuwagira, Mbarara University of Science and Technology, Tel +256782980116 ; +256779096887, Email tonnykyagambiddwa97@gmail.com; enuwagira@must.ac.ugBackground: There is scarcity of data regarding young and middle-aged adults hospitalized with severe Corona Virus Disease 2019 (COVID-19) in Africa. In this study, we describe the clinical characteristics and 30-day survival among adults aged 18 to 49 years admitted with severe COVID-19 in Uganda.Methods: We reviewed treatment records of patients admitted with severe COVID-19 across five COVID-19 treatment units (CTU) in Uganda. We included individuals aged 18 to 49 years, who had a positive test or met the clinical criteria for COVID-19. We defined severe COVID-19 as having an oxygen saturation < 94%, lung infiltrates > 50% on imaging and presence of a co-morbidity that required admission in the CTU. Our main outcome was the 30-day survival from the time of admission. We used a Cox proportional hazards model to determine the factors asso

Andrew Mutekanga,1,&ast; Edwin Nuwagira,1,&ast; Elias Kumbakumba,2 Victoria Nyaiteera,3 Stephen Asiimwe,4 Medal Gasumuni,5 Nelson Wandera,5 Robert Natumanya,5 Denis Akena,5 Siraje Senoga,1 Joseph Kyobe Kiwanuka,6 George Kateregga,6 Emmanuel Munyarugero,6 Fardous Charles Abeya,1 Paul Stephen Obwoya,1 Stephen Ttendo,6 Rose Muhindo1,&ast; 1Department of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda; 2Department of Pediatrics and Child Health, Mbarara University of Science and Technology, Mbarara, Uganda; 3Department of ENT, Mbarara University of Science and Technology, Mbarara, Uganda; 4Global Health Collaborative, Massachusetts General Hospital, Boston, MA, USA; 5Department of Medicine, Mbarara Regional Referral Hospital, Mbarara, Uganda; 6Department of Anesthesiology and Critical Care, Mbarara University of Science and Technology, Mbarara, Uganda&ast;These authors contributed equally to this workCorrespondence: Rose Muhindo, Mbarara University of Science and Technology, P.O. Box 1410, Mbarara, Uganda, Tel +256772406337, Email rosie@must.ac.ugBackground: COVID-19 has created a burden on the healthcare system globally. Severe COVID-19 is linked with high hospital mortality. Data regarding 30-day in-hospital mortality and its factors has not been explored in southwestern Uganda.Methods: We carried out a retrospective, single-center cohort study, and included all in-patients with laboratory-confirmed, radiological, or clinical severe COVID-19 admitted between April 2020 and September 2021 at Mbarara Regional Referral Hospital (MRRH). Demographic, laboratory, treatment, and clinical outcome data were extracted from patients’ files. These data were described comparing survivors and non-survivors. We used logistic regression to explore the factors associated with 30-day in-hospital mortality.Results: Of the 283 patients with severe COVID-19 admitted at MRRH COVID-19 unit, 58.1% were male. The mean age ± standard deviation (SD) wa

Nsheka Bonny Patrick,1 Tadele Mekuriya Yadesa,1,2 Rose Muhindo,3 Stephen Lutoti4 1Department of Pharmacy, Mbarara University of Science and Technology, Mbarara, Uganda; 2World Bank, ACE II, Pharmacy Biotechnology and Traditional Medicine Center (PHARMBIOTRAC), Mbarara University of Science and Technology, Mbarara, Uganda; 3Department of Internal Medicine, Mbarara University of Science and Technology, Mbarara, Uganda; 4Department of Pharmacy, Makerere University, Kampala, UgandaCorrespondence: Tadele Mekuriya YadesaDepartment of Pharmacy, Mbarara University of Science and Technology, PO Box 1410, Mbarara, UgandaEmail maatiikoo4@gmail.comBackground: Glycemic control is associated with long-term complications in type 2 diabetes management. However, updated reports on glycemic control that are crucial to reducing diabetes mellitus complications remain scarce.Objective: The objective of this study is to evaluate glycemic control and contributing factors among type 2 diabetes mellhitus patients attending the outpatient diabetic clinic at Mbarara Regional Referral Hospital.Methods: A cross-sectional study was conducted at Mbarara Regional Referral Hospital outpatient diabetes clinic between July and October 2020. Participants were subjected to a questionnaire-based interview and glycosylated hemoglobin (HbA1C) was determined as a marker of glycemic control among participants. The collected data was entered into and analyzed by Stata version 13. The odds ratio was used to determine the strength of association between variables. The cut-off value for all statistical significance tests was set at p< 0.05 with CI of 95%.Results: A total of 223 participants were interviewed, and the majority (188, 84.3%) had poor glycemic control (HbA1C ≥ 7%). Importantly, 81.7% (49/60) and 90.0% (99/110) of those who did not adhere to diet and physical exercise recommendations respectively, had poor glycemic control. Multivariate logistic regression revealed that poor glycemic control was