Determinants of non-disclosure to sexual partner among human immune virus infected adults on anti-retroviral therapy follow-up care at North Shewa zone public hospitals in Oromia Region, Ethiopia

Background: HIV positive status non-disclosure to sexual partner remains a challenge for HIV prevention and control. It leads to poor adherence to antiretroviral treatment and a high risk of transmission. The purpose of this study was to assess the determinants of HIV-positive status non-disclosure to sexual partner. Methods: An institutional based case control study was conducted among 378 (94 cases and 284 controls) HIV-infected adults on Follow-Up Care. For data entry and analysis, Epi data version 3.1 and SPSS version 25 was used. To identify factors associated with non-disclosure to sexual partner, bivariable and multivariable logistic regression analyses were performed. Result: A total of 369 study participants were interviewed (92 cases and 277 controls), yielding a response rate of 97.5 %. Male sex (AOR: 0.25, 95 % CI: 0.13–0.47), ART duration < 36 months (AOR: 2.13, 95 % CI: 1.14–4.01), WHO clinical staging one (AOR: 3.00, 95 % CI: 1.26–7.12), having more than one lifetime sexual partners (AOR: 0.46, 95 % CI: 0.22–0.95) and not seeing person publicly disclosed HIV status (AOR: 3.12, 95 % CI: 1.47–6.65) were determinants of non-disclosure to sexual partner. Conclusion: Male sex, ART duration of < 36 months, WHO clinical staging one, having more than one lifetime sexual partner, and not seeing person publicly disclosed HIV status were determinantal to sexual partner disclosure. As a result, continuous HIV disclosure counseling is required for females, those in WHO clinical staging one, ART duration < 36 months, and those with only one lifetime sexual partner

Adherence to Self-Care Recommendations and Associated Factors among Adult Heart Failure Patients in West Gojjam Zone Public Hospitals, Northwest Ethiopia

Background. Self-care practices are an important part of heart failure patient management and essential to control symptoms of the disease and its exacerbation. However, poor adherence to these self-care behaviors could be associated with an increase in hospitalization, morbidity, and mortality. Even if it is an important part of management for heart failure patients, yet information is not adequate in the study area about adherence to self-care recommendations and associated factors among heart failure patients. Purpose. To assess self-care recommendation adherence and associated factors among heart failure patients in West Gojjam Zone public hospitals. Methods. Institutional-based cross-sectional study was conducted on 304 selected heart failure patients attending follow-up at public hospitals in West Gojjam Zone from March 16 to April 16, 2021. Consecutive sampling technique based on patient arrival with proportional allocation to each hospital was employed to select the study participants. Data were collected through face-to-face interview and reviewing patients’ medical records. Data were entered into EpiData version 3.1 and analyzed using Statistical Package for Social Sciences (SPSS) version 25. Binary logistic regression model was fitted to assess the association between adherence to self-care recommendations and associated factors. P value < 0.05 with 95% confidence interval (CI) was considered to declare a statistically significant association in multivariable logistic regression. Results. In this study, 304 patients participated with a response rate of 97.4%. Only 32.9% of them had good adherence to self-care recommendations. Having good knowledge on heart failure (adjusted odds ratio AOR=4.6; 95% CI: 1.82, 11.86), no depression (AOR=6.1; 95% CI: 1.92, 19.37), having strong social support (AOR=3.57; 95% CI: 1.56–8.33), age 30-49 years (AOR=3.37; 95% CI: 1.14, 9.89), and college and above level of education (AOR=6.17; 95% CI: 1.22, 31.25) were factors significantly associated with good adherence to self-care recommendations. Conclusion. This study showed that most of the heart failure patients had poor adherence to self-care recommendations. Policymakers and other stakeholders should develop and implement appropriate strategies to increase patients’ adherence level to self-care recommendations by emphasizing on addressing identified factors

Showing department among DMU SMCHS students on mental distress North West, Ethiopia, 2021 (N = 461).

Showing department among DMU SMCHS students on mental distress North West, Ethiopia, 2021 (N = 461).</p

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(SAV)</p

Substance use among DMU school SMCHS students on mental distress, North West, Ethiopia, 2021 (N = 461).

Substance use among DMU school SMCHS students on mental distress, North West, Ethiopia, 2021 (N = 461).</p

Showing social support level among DMU SMCHS students on mental distress North West, Ethiopia, 2021 (N = 461).

Showing social support level among DMU SMCHS students on mental distress North West, Ethiopia, 2021 (N = 461).</p

Bivariable and multivariable logistic regression analysis of factors associated with mental distress those statically associated among DMU SMCHS students on mental distress, North West, Ethiopia, 2021(N = 461).

Bivariable and multivariable logistic regression analysis of factors associated with mental distress those statically associated among DMU SMCHS students on mental distress, North West, Ethiopia, 2021(N = 461).</p

Socio demographic characteristics of DMU SMCHS students on mental distress, 2021 (N = 461).

Socio demographic characteristics of DMU SMCHS students on mental distress, 2021 (N = 461).</p

Showing magnitude of mental distress among DMU school SMCHS students on mental distress, North West, Ethiopia, 2021 (N = 461).

Showing magnitude of mental distress among DMU school SMCHS students on mental distress, North West, Ethiopia, 2021 (N = 461).</p

Schematic presentation of sampling technique for mental distress and associated factors among SMCHS students at DMU, Northwest Ethiopia, 2021.

P = Pharmacy, M = Medicine, HI = health informatics, N = nursing, ML = Medical laboratory, P = Public health, E = enviromental health, N = nutrition, M = Midwifery, A = Anesthesia.</p