Background Reproductive planning by HIV-infected women is essential, as it helps to prevent transmission of HIV to their unborn babies. Integrating contraceptive services to routine HIV care significantly increases the use of modern contraceptive methods, thus reducing vertical transmission of HIV. Objectives To determine the prevalence and factors associated with contraceptive use among HIV-infected women attending Infectious Disease Clinic (IDC) at Gulu Regional Referral Hospital (GRRH) in Northern Uganda. Methodology A hospital-based cross-sectional study was performed. We used simple random sampling to recruit HIV-infected women receiving routine care from IDC, GRRH, into our study. Sample size was estimated using modified Kish-Leslie formula and semistructured questionnaire was used for data collection. Data was entered into EpiData version 3.1 and analysed using Stata v11.0. We used logistic regression model to assess the associations and any factor with p≤0.05 was considered statistically significant. Results The prevalence of contraceptive use was found to be 36% (95% CI 31 – 40%). Factors which promoted contraceptive use were as follows: being married (aOR=2.68, 95% CI 1.54-4.65, p<0.001) and monthly income of $35 -250 (aOR= 2.38, 95% CI: 1.39- 4.09, p=0.002). Factors that hindered contraceptive use were having no child (nulliparity) (aOR= 0.16; 95% CI: 0.05-0.49; p=0.002) and age range of 31-49 years (aOR= 0.53; 95% CI: 0.33 - 0.84; p=0.007). Conclusion In this study, just over a third of sexually active HIV-infected women reported use of modern contraceptives. This is a low level of usage and, therefore, clinicians and stakeholders should sensitise HIV-infected women on the importance of contraceptive use in the fight against HIV/AIDS and encourage them to use contraceptives to avoid vertical transmission of HIV through unintended pregnancy.

Objective To assess the prevalence of psychological distress (PD), and its associated demographic, psychosocial, hospital and health-related factors among hospital workers in Uganda during the COVID-19 related lockdown. Methods An online cross-sectional study was conducted among three hundred ninety six participants recruited from eight hospitals and PD was assessed using the Kessler 6 distress scale from May to June 2020. Results PD was present in 92.7% of the participants with majority (78.3%) having mild to moderate PD whereas 14.4% had severe PD. Severe PD had statistically significant association with having financial liabilities (O.R = 3.69 (1.55–8.77), p = 0.003). However, ability to maintain contact with family members and friends (O.R = 0.43 (0.22–0.84), p value = 0.013), and having enough personal protective equipment and safety tools at work place (O.R = 0.44 (0.23–0.84), p value = 0.012) were protective against severe PD. having excessive worry about getting infected with COVID-19, conflicts within a home, segregation by friends or community, longer working hours or involvement in management of suspected or confirmed case were not associated with severe PD. Conclusion The findings indicate the need to take into consideration the mental wellbeing of health workers during this COVID-19 outbreak. Whereas hospital workers continue to provide their services during the COVID-19 pandemic and related lockdown, it is important that they maintain contact with social support networks and be provided with counselling and mental health and psychosocial services in order to optimise their mental health during this pandemic.

Background Postoperative complications and mortality following laparotomy have remained high worldwide. Early postoperative risk stratification is essential to improve outcomes and clinical care. The surgical Apgar score (SAS) is a simple and objective bedside prediction tool that can guide a surgeon’s postoperative decision making. The objective of this study was to evaluate the performance of SAS in predicting outcomes in patients undergoing laparotomy at Mulago hospital. Method A prospective observational study was conducted among eligible adult patients undergoing laparotomy at Mulago hospital and followed up for 4 months. We collected data on the patient’s preoperative and intraoperative characteristics. Using the data generated, SAS was calculated, and patients were classified into 3 groups namely: low (8–10), medium (5–7), and high (0–4). Primary outcomes were in-hospital major complications and mortality. Data was presented as proportions or mean (standard deviation) or median (interquartile range) as appropriate. We used inferential statistics to determine the association between the SAS and the primary outcomes while the SAS discriminatory ability was determined from the receiver-operating curve (ROC) analysis. Results Of the 151 participants recruited, 103 (68.2%) were male and the mean age was 40.6 ± 15. Overall postoperative in-hospital major complications and mortality rates were 24.2% and 10.6%, respectively. The participants with a high SAS category had an18.4 times risk (95% CI, 1.9–177, p = 0.012) of developing major complications, while those in medium SAS category had 3.9 times risk (95% CI, 1.01–15.26, p = 0.048) of dying. SAS had a fair discriminatory ability for in-hospital major complications and mortality with the area under the curve of 0.75 and 0.77, respectively. The sensitivity and specificity of SAS ≤ 6 for major complications were 60.5% and 81.14% respectively, and for death 54.8% and 81.3%, respectively. Conclusion SAS of ≤ 6 is associated with an increased risk of major complications and/or mortality. SAS has a high specificity with an overall fair discriminatory ability of predicting the risk of developing in-hospital major complications and/or death following laparotomy.