Background: Traumatic brain injury is a major list of health and socioeconomic problems especially in low-and middle-income countries which influences productive age groups. Differences in patient characteristics, socioeconomic status, intensive care unit admission thresholds, health-care systems, and the availability of varying numbers of intensive care unit (ICU) beds among hospitals had shown to be the causes for the variation on the incidence in mortality following traumatic brain injury across different continents. The aim of this study was to assess the incidence and predictors of mortality among patients with traumatic brain injury at University of Gondar Comprehensive Specialized Hospital. Methods: A retrospective follow-up study was conducted based on chart review and selected patient charts admitted from January, 2017 to January, 2022. Participants in the study were chosen using a simple random sample procedure that was computer generated. Data was entered with epi-data version 4.6 and analyzed using SPSS version 26. Both bivariate and multivariate logistic regression analyses were used, and in multivariate logistic regression analysis, P-value <0.05 with 95% CI was considered statistically significant. Results: The magnitude of mortality was 28.8%. Most of the injuries were caused by assault followed by road traffic accident (RTA). About 30% of the subjects presented with severe head injuries and epidural hematoma (EDH) followed by skull fracture were the most common diagnoses on admission. The independent predictors of mortality were male sex (

Background: Wound management is one of the commonly performed procedures in hospitals. It can be a major source of pain and pain may be a frequently experienced but under-considered component of wound management. Therefore, we aimed to determine the severity of wound-related pain and identifying factors associated with it among patients who underwent wound management. Patients and Methods: An institutional-based, cross-sectional study was conducted from March to May, 2020 in the University of Gondar Comprehensive Specialized Hospital. A total of 424 patients were included in this study. Data were collected by direct observation, chart review, and interview of patients by using questionnaires. Statistical analysis had performed using SPSS 25.00 version statistical software. Descriptive statistics were conducted to summarize patients' information and to determine the prevalence of pain. Bivariable analysis was performed to determine each of the independent variables and only variables with a P-value<0.2 were entered into the multivariable analysis. The strength of the association was present by odds ratio and 95% Confidence interval. P-value<0.05 was consider as statistically significant. Results: The prevalence of moderate-to-severe wound-related pain during wound management was 94.1% (95% CI=91.7-96.2). Anxiety (AOR=18.16; 95% CI=4.83-68.23), acute wound (AOR=11.49; 95% CI=1.013-130.2), baseline pain (AOR=3.51; 95% CI=1.18-10.46), and analgesia intake (AOR=0.026; 95% CI=0.001-0.895) were significantly associated with the severity of wound-related pain. Conclusion: The prevalence of moderate-to-severe wound-related pain was considerably high. Anxiety, type of wound, baseline pain, and analgesia intake were the independent risk factors. Therefore, wound care providers should assess the severity of wound-related pain and manage accordingly. Additionally, more emphasis should be given for patients who have baseline pain, anxiety, and acute wound.

BackgroundUnintended pregnancy is one of the most serious health issues in low and Middle-Income Countries (LMICs), posing significant health, economic, and psychosocial costs to individuals and communities. However, there is limited evidence on the prevalence of unintended pregnancies and their determinants in LMICs. Hence, this study aimed to assess the prevalence of unintended pregnancy and its associated factors among childbearing-age women in LMICs.MethodData for the study were drawn from a recent 61 Demographic and Health Surveys (DHS) conducted in LMICs. A total sample of 187,347 mothers who gave birth in the five years preceding the survey was included. STATA version 16 was used to clean and analyze the data. Multilevel multivariable logistic regression was employed to identify individual and community-level factors of unintended pregnancy in LMICs. In the multivariable analysis, an adjusted odds ratio with a 95% confidence level was reported to indicate statistical association.ResultsThe pooled magnitude of unintended pregnancy in LMICs was 26.46%% (95% CI: 25.30%, 27.62%), ranging from 19.25%% in Egypt to 61.71% in Bolivia. Working status (AOR =  1.03; 95% CI: 1.01, 1.06), having a husband with no education (AOR = 1.07; 95% CI: 1.00, 1.15), and primary education (AOR =  1.05; 95% CI: 1.01, 1.11), women from male-headed households (AOR = 1.04; 95% CI: 1.00, 1.08), media exposure (AOR = 1.05; 95% CI: 1.02, 1.08), unmet need for contraception (AOR = 1.05; 95% CI: 1.02, 1.08), distance from a health facility (AOR = 1.03; 95% CI: 1.00, 1.06) were significantly associated with unintended pregnancy.ConclusionUnintended pregnancy rates remain high in LMICs. Women whose husband has no education and primary education, women with media exposure, working status, women who live in a household headed by male, women with unmet need for contraception, and women with a big problem of distance to health facilities were variables that were significant predictors of unintended pregnancy. When attempting to minimize unintended pregnancy in LMICs, these factors need to be considered. Furthermore, most of these attempts should be driven by government entities in low and middle-income countries.

Background: Postoperative pulmonary complication can be broadly defined as conditions affecting the respiratory tract that can adversely influence the clinical course of a patient after surgery. Post-operative pulmonary complications are the most frequent reported cause of morbidity and mortality in hospitals. The occurrence of postoperative pulmonary complications in the world is between 5 and 80% with variation attributed to set-up, preoperative and intra-operative risk factors. The incidence of postoperative pulmonary complication was 21.7% in the study area. Postoperative pulmonary complications can be associated with patient-related and procedure related risk factors. Prevention of postoperative pulmonary complication requires comprehensive multidisciplinary approach that includes preoperative risk stratification and optimizations. Methods: This systematic review was conducted according to the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) protocol and AMSTAR 2 critical appraisal tool for systematic reviews were used. The literature has reviewed using a multiple and comprehensive database searches including HINARI (Cochrane Library, PubMed and PubMed Central) and Google Scholar to get access for updated evidences on risk stratification and prevention strategies for postoperative pulmonary complications. Discussion: Patients who underwent major surgery should be considered as an increased risk for postoperative pulmonary complications. Patients at risk for postoperative pulmonary complication should be identified before Surgery. Perioperative risk stratification and optimizations are widely used prevention strategies for postoperative pulmonary complications. Conclusion: Screening and identification of patients at high risk for post-operative pulmonary complications are vital during preoperative period. Patients in high risk group should receive pulmonary complication prevention and intervention protocol such as: cessation from smoking, preoperative inspiratory muscle training, goal-directed fluid therapy, chest physiotherapy, postoperative analgesia especially neuro-axial block, early mobilization and early oral intake. Highlights

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