15 research outputs found

    Intimate partner violence against women in western Ethiopia: prevalence, patterns, and associated factors

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    <p>Abstract</p> <p>Background</p> <p>Intimate partner violence against women is the psychological, physical, and sexual abuse directed to spouses. Globally it is the most pervasive yet underestimated human rights violation. This study was aimed at investigating the prevalence, patterns and associated factors of intimate partner violence against women in Western Ethiopia.</p> <p>Methods</p> <p>A cross-sectional, population based household survey was conducted from January to April, 2011 using standard WHO multi-country study questionnaire. A sample of 1540 ever married/cohabited women aged 15-49 years was randomly selected from urban and rural settings of East Wollega Zone, Western Ethiopia. Data were principally analyzed using logistic regression.</p> <p>Results</p> <p>Lifetime and past 12 months prevalence of intimate partner violence against women showed 76.5% (95% CI: 74.4-78.6%) and 72.5% (95% CI: 70.3-74.7%), respectively. The overlap of psychological, physical, and sexual violence was 56.9%. The patterns of the three forms of violence are similar across the time periods. Rural residents (AOR 0.58, 95% CI 0.34-0.98), literates (AOR 0.65, 95% CI 0.48-0.88), female headed households <b>(</b>AOR 0.46, 95% CI 0.27-0.76) were at decreased likelihood to have lifetime intimate partner violence. Yet, older women were nearly four times (AOR 3.36, 95% CI 1.27-8.89) more likely to report the incident. On the other hand, abduction (AOR 3.71, 95% CI 1.01-13.63), polygamy (AOR 3.79, 95% CI 1.64-0.73), spousal alcoholic consumption (AOR 1.98, 95% CI 1.21-3.22), spousal hostility (AOR 3.96, 95% CI 2.52-6.20), and previous witnesses of parental violence (AOR 2.00, 95% CI 1.54-2.56) were factors associated with an increased likelihood of lifetime intimate partner violence against women.</p> <p>Conclusion</p> <p>In their lifetime, three out of four women experienced at least one incident of intimate partner violence. This needs an urgent attention at all levels of societal hierarchy including policymakers, stakeholders and professionals to alleviate the situation.</p

    Spatio-temporal water body and vegetation changes in the Nile swamps of southern Sudan

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    International audienceAn assessment to describe and quantify the extent of changes in the channel and lagoon system of the Sudd was carried out using Landsat satellite images of 1973, 1979, 1997 and 2002. Using supervised classification and visual interpretation after referencing the images, the water bodies for a representative area between Bor and Shambe (a stretch of 150 km) were delineated. The resulting files were compared to establish and quantify changes in-between the years and as well compared to Lake Victoria outflow data to assess a likely correlation which was found for the largely water level dependent lagoon system. Changes in the channel system were interpreted to happen in a certain pattern but the extent of changes could not be correlated to the outflow data as they are influenced by other, here not considered factors like wind drift and channel blockages by vegetation

    Thirty-Day Outcomes of Young and Middle-Aged Adults Admitted with Severe COVID-19 in Uganda: A Retrospective Cohort Study

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    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 [email protected]; [email protected]: 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 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 associated with 30-day survival at a 5% level of significance.Results: Of the 246 patient files reviewed, 50.8% (n = 125) were male, the mean ± (standard deviation) age was 39 ± 8 years, majority presented with cough, 85.8% (n = 211) and median C-reactive protein (interquartile range) was 48 (47.5, 178.8) mg/L. The 30-day mortality was 23.9% (59/246). At admission, anemia (hazard ratio (HR): 3.00, 95% confidence interval (CI), 1.32– 6.82; p = 0.009) and altered mental state (GCS < 15) (HR: 6.89, 95% CI: 1.48– 32.08, p = 0.014) were significant predictors of 30-day mortality.Conclusion: There was a high 30-day mortality among young and middle-aged adults with severe COVID-19 in Uganda. Early recognition and targeted management of anemia and altered consciousness are needed to improve clinical outcomes.Keywords: COVID-19, Uganda, mortality, young and middle-aged adult

    Factors Associated with 30-Day in-Hospital Mortality Among Patients Admitted with Severe Covid-19 in Mbarara Regional Referral Hospital

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    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 [email protected]: 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) was 61± 17.4 years; there were no differences in mean age between survivors and non-survivors (59 ± 17.2 versus 64.4 ± 17.3, respectively, p=0.24) The median length of hospital stay was 7 (IQR 3– 10) days (non-survivors had a shorter median length of stay 5 (IQR 2– 9) days compared to the survivors; 8 (IQR 5– 11) days, p< 0.001. The most frequent comorbidities were hypertension (30.5%) and diabetes mellitus (30%). The overall 30-day in-hospital mortality was 134 of 279 (48%) mortality rate of 47,350Ă— 105 with a standard error of 2.99%. The factors associated with 30-day in-hospital mortality were age: 65 years and above (aOR, 3.88; 95% CI, 1.24– 11.70; P =0.020) a neutrophil to lymphocyte ratio above 5 (aOR, 4.83; 95% CI, 1.53– 15.28; P =0.007) and oxygen requirement ≥ 15L/min (aOR, 15.80; 95% CI, 5.17– 48.25; P < 0.001).Conclusion: We found a high 30-day in-hospital mortality among patients with severe forms of COVID-19. The identified factors could help clinicians to identify patients with poor prognosis at an early stage of admission.Keywords: severe, COVID-19, 30-day in hospital mortalit

    Delayed diagnosis of tuberculosis in persons living with HIV in Eastern Europe: associated factors and effect on mortality—a multicentre prospective cohort study

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    Background: Early diagnosis of tuberculosis (TB) is important to reduce transmission, morbidity and mortality in people living with HIV (PLWH). Methods: PLWH with a diagnosis of TB were enrolled from HIV and TB clinics in Eastern Europe and followed until 24 months. Delayed diagnosis was defined as duration of TB symptoms (cough, weight-loss or fever) for ≥ 1 month before TB diagnosis. Risk factors for delayed TB diagnosis were assessed using multivariable logistic regression. The effect of delayed diagnosis on mortality was assessed using Kaplan–Meier estimates and Cox models. Findings: 480/740 patients (64.9%; 95% CI 61.3–68.3%) experienced a delayed diagnosis. Age ≥ 50 years (vs. < 50 years, aOR = 2.51; 1.18–5.32; p = 0.016), injecting drug use (IDU) (vs. non-IDU aOR = 1.66; 1.21–2.29; p = 0.002), being ART naïve (aOR = 1.77; 1.24–2.54; p = 0.002), disseminated TB (vs. pulmonary TB, aOR = 1.56, 1.10–2.19, p = 0.012), and presenting with weight loss (vs. no weight loss, aOR = 1.63; 1.18–2.24; p = 0.003) were associated with delayed diagnosis. PLWH with a delayed diagnosis were at 36% increased risk of death (hazard ratio = 1.36; 1.04–1.77; p = 0.023, adjusted hazard ratio 1.27; 0.95–1.70; p = 0.103). Conclusion: Nearly two thirds of PLWH with TB in Eastern Europe had a delayed TB diagnosis, in particular those of older age, people who inject drugs, ART naïve, with disseminated disease, and presenting with weight loss. Patients with delayed TB diagnosis were subsequently at higher risk of death in unadjusted analysis. There is a need for optimisation of the current TB diagnostic cascade and HIV care in PLWH in Eastern Europe
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