Risk factors for COVID-19 infection, disease severity and related deaths in Africa: a systematic review.

OBJECTIVE: The aim of this study was to provide a comprehensive evidence on risk factors for transmission, disease severity and COVID-19 related deaths in Africa. DESIGN: A systematic review has been conducted to synthesise existing evidence on risk factors affecting COVID-19 outcomes across Africa. DATA SOURCES: Data were systematically searched from MEDLINE, Scopus, MedRxiv and BioRxiv. ELIGIBILITY CRITERIA: Studies for review were included if they were published in English and reported at least one risk factor and/or one health outcome. We included all relevant literature published up until 11 August 2020. DATA EXTRACTION AND SYNTHESIS: We performed a systematic narrative synthesis to describe the available studies for each outcome. Data were extracted using a standardised Joanna Briggs Institute data extraction form. RESULTS: Fifteen articles met the inclusion criteria of which four were exclusively on Africa and the remaining 11 papers had a global focus with some data from Africa. Higher rates of infection in Africa are associated with high population density, urbanisation, transport connectivity, high volume of tourism and international trade, and high level of economic and political openness. Limited or poor access to healthcare are also associated with higher COVID-19 infection rates. Older people and individuals with chronic conditions such as HIV, tuberculosis and anaemia experience severe forms COVID-19 leading to hospitalisation and death. Similarly, high burden of chronic obstructive pulmonary disease, high prevalence of tobacco consumption and low levels of expenditure on health and low levels of global health security score contribute to COVID-19 related deaths. CONCLUSIONS: Demographic, institutional, ecological, health system and politico-economic factors influenced the spectrum of COVID-19 infection, severity and death. We recommend multidisciplinary and integrated approaches to mitigate the identified factors and strengthen effective prevention strategies.

Adverse drug events in hospitalized children at Ethiopian University Hospital: a prospective observational study.

BACKGROUND: The nature and magnitude of adverse drug events (ADEs) among hospitalized children in low-income countries is not well described. The aim of this study was thus, to assess the incidence and nature of ADEs in hospitalized children at a teaching hospital in Ethiopia. METHODS: We used prospective observational method to study children that were hospitalized to Jimma University Specialized Hospital between 1 February and 1 May 2011. ADEs were identified using review of treatment charts, interview of patient and care-giver, attendance at ward rounds and/or meetings and voluntary staff reports. Two senior pediatric residents evaluated the severity and preventability of ADEs using preset criteria. Logistic regression analysis was employed to determine predictors of ADEs. RESULTS: There were 634 admissions with 6182 patient-days of hospital stay. There were 2072 written medication orders accounting for 35,117 medication doses. Fifty eight ADEs were identified with an incidence of 9.2 per 100 admissions, 1.7 per 1000 medication doses and 9.4 per 1000 patient-days. One-third of ADEs were preventable; 47% of these were due to errors in the administration stage of medication use process. Regarding the severity of ADEs, 91% caused temporary harms and 9% resulted in permanent harm/death. Anti-infective drugs were the most common medications associated with ADEs. The occurrence of ADEs increased with age, length of hospital stay, and use of CNS, endocrine and antihistamine medicines. CONCLUSION: ADEs are common in hospitalized children in low-income settings; however, one-third deemed preventable. A strategy to prevent the occurrence and consequences of ADEs including education of nurses/physicians is of paramount importance.

Self-reported adverse drug reactions and their influence on highly active antiretroviral therapy in HIV infected patients: a cross sectional study.

BACKGROUND: Patients on antiretroviral therapy have higher risk of developing adverse drug reactions (ADRs). The impact of ADRs on treatment adherence, treatment outcomes and future treatment options is quiet considerable. Thus, the purpose of this study was to describe the common self-reported ADRs and their impact on antiretroviral treatment. METHODS: Cross-sectional study was conducted at antiretroviral therapy (ART) clinic of Gondar University Hospital. Semi-structured interview questionnaire was used to extract self-reported ADRs, socio-demographic, and psycho-social variables. Variables related to antiretroviral medication, laboratory values and treatment changes were obtained from medical charts. Chi-square and odds ratio with 95% confidence interval were used to determine the associations of dependent variables. RESULT: A total of 384 participants were enrolled. At least one adverse drug reaction was reported by 345 (89.8%) study participants and the mean number of ADRs reported was 3.7 (±0.2). The most frequently reported ADRs were nausea (56.5%) and headache (54.9%). About 114 (31.0%) participants considered antiretroviral therapy to be unsuccessful if ADRs occurred and only 10 (2.6%) decided to skip doses as ADRs were encountered. Based on chart review, treatment was changed for 78 (20.3%) patients and from which 79% were due to documented ADRs (p = 0.00). Among them, CNS symptoms (27.4%) and anemia (16.1%) were responsible for the majority of changes. Around four percent of patients were non-adherent to ART. Non-adhered participants and those on treatment changes were not statistically associated with self-reported ADRs. Only unemployment status (AOR = 1.76 (1.15 - 2.70), p = 0.01) and ADR duration of less than one month (AOR = 1.95 (1.28-2.98), p = 0.001) were significantly associated with self-reported adverse effects of three or more in the multivariate analysis. CONCLUSION: Self-reported ADRs to antiretroviral therapy are quite common. More of the reactions were of short lasting and their impact on adherence and treatment change were less likely. However, documented ADRs were the most prevalent reasons for ART switch. Moreover, the level of unemployment was a strong predictor of self-reported ADRs.