Introduction: Vitamin D status is related to risks of influenza and respiratory tract infections. Vitamin D has direct antiviral effects primarily against enveloped viruses, and coronavirus is an enveloped virus. The 2019 coronavirus disease had a high mortality rate and impacted the whole population of the planet, with severe acute respiratory syndrome the principal cause of death. Vitamin D can adequately modulate and regulate the immune and oxidative response to infection with COVID-19. The goal of this systematic review was thus to summarize and decide if there were a link between vitamin D status and COVID-19 infection and prognosis. Methods: The protocol of this study is documented in the Prospero database and can be accessed with the protocol number CRD42020201283. PubMed and Google Scholar were used for a literature search from August 2020 to September 2020. We restricted the year of publication of reviewed articles to 2019-2020, and the selected language was English. Studies that used secondary data, feedback, or analysis of reviews were removed. To assess the standard of studies included, the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) method was used. Results: Of the nine studies reviewed, seven (77.8%) showed that COVID-19 infection, prognosis, and mortality were correlated with vitamin D status. Conclusion: Most of the articles reviewed showed that blood vitamin D status can determine the risk of being infected with COVID-19, seriousness of COVID-19, and mortality from COVID-19. Therefore, maintaining appropriate levels of Vitamin D through supplementation or natural methods, eg, sunlight on the skin, is recommended for the public to be able to cope with the pandemic.
Introduction: Type 2 diabetes mellitus patients with hypertension are at high risk of drug therapy problems since they are subject to receive multiple drug therapies due to comorbidities. Objectives: To determine the magnitude of drug therapy problems and its determinants among Type 2 diabetes mellitus patients with hypertension. Methods: A cross-sectional study was employed among 423 randomly selected participants based on the inclusion criteria. A structured questionnaire and review of patients’ medical record were employed in the data collection. The classification system used by Cipolle was used to classify and evaluate drug therapy problems. Data were analyzed using Statistical Package for the social sciences version 25.0 software. Multivariate logistic regression analysis was used to identify determinants of drug therapy problems with a statistical significance of p ⩽ 0.05. Results: A total of 491 drug therapy problems with a mean of 1.86 ± 0.53 drug therapy problems per patient were identified, and 62.4% (264) of them experienced at least one drug therapy problem. Non-compliance (197, 40.1%), needs of additional drug therapy (119, 24.2%), and dosage too low (91, 18.5%) were the most frequently observed drug therapy problems in the study setting. Anti-diabetic medications (88.4%), statins (44.5%), and aspirin (33.5%) were the most commonly involved drugs in drug therapy problems. The determinants of drug therapy problems were very low family income (adjusted odds ratio = 4.64, p = 0.010), age (45–65 years old) (adjusted odds ratio = 2.55, p = 0.008), presence of comorbidity (adjusted odds ratio = 9.19, p < 0.001), and taking ⩾5 medications (adjusted odds ratio = 2.84, p = 0.001). Conclusion: Approximately three out of five patients had one or more drug therapy problems encountered. In this study, the most common types of drug therapy problems were non-compliance, needs additional drug therapy, and dosage too low. Family monthly income, age, comorbidities, and number of medications were the significant determinants of drug therapy problems. Therefore, patient education regarding medication adherence, routine medication review, and strengthening clinical pharmacy services should be promoted.
Background: Globally, preschool children are the most at-risk population groups for vitamin A deficiency (VAD). The 2009 World Health Organization (WHO) report stated that one-third (190 million) of preschool children worldwide are deficient in vitamin A. Both clinical and subclinical VAD have been a long-standing problem in developing countries. In Ethiopia, VAD was recognized as a public health problem 4-5 decades before. Since then, researches conducted in other parts of the country still showed varied and high prevalence, which is 2-8 times higher than WHO cutoff points. This community-based study was therefore conducted on preschool children of rural kebeles in Farta district to determine the prevalence of clinical VAD (Bitot's spot and night blindness) and associated factors. Methods: A community-based cross-sectional mixed quantitative and qualitative study was conducted. Randomly selected 588 preschool children participated in the study. The clinical aspect of the study investigated the presence of Bitot's spots on the children's eye with the aid of a magnifying loop and torch. Data on the history of night blindness were obtained from mothers/caregivers by using WHO standard questions. The qualitative study data were obtained via a key informant interview with the mothers/caregivers whose child has clinical VAD. Quantitative data were entered using Epi Data statistical software and analysed by using SPSS version 20 statistical software package. A bivariable logistic regression was employed, and variables that showed significant association with clinical VAD (P < 0.2) were entered a multivariable logistic regression model to identify independent predictors of clinical VAD. Results: The prevalence of Bitot's spot and night blindness was 0.8% and 1.2%, respectively. Preschool children who were from highland (AOR: 3.71; 95% CI: 1.01-13.68), a mother having antenatal care (ANC) visit during pregnancy of a child (AOR: 8.63; 95% CI: 2.58-28.79), family monthly income (AOR: 8.63; 95% CI: 2.58-28.79) and handwashing frequency were found to be determinants of VAD (p < 0.05). Conclusion: Clinical vitamin A deficiency in the study area is of public health concern because the prevalence of Bitot's and night blindness was above the WHO threshold level. Accordingly, effective preventive measures should be designed to reduce VAD prevalence.
Introduction: Coronavirus disease (COVID-19) is a highly contagious viral infection that has spread to every corner of the world. Lack of knowledge among healthcare providers (HCPs) about diseases such as COVID-19 may delay the diagnosis, disease spread, and produce poor infection control practices. Hence, this systematic review aimed to summarize the knowledge, attitudes, and practices (KAP) of HCPs toward COVID-19 during the first months of the pandemic.Methods: A systematic review was conducted according the PRISMA guidelines, and the protocol was registered on PROSPERO (CRD42020191742). A relevant article search was performed on EMBASE, PubMed, CINAHL, Scopus, and the Google Scholar database. The methodological quality of studies was assessed using the Newcastle-Ottawa Quality Assessment Scale. The median percentage of HCPs with good KAP was computed.Results: Twenty studies involving 12,072 HCPs were included in the review process. Median percentages of 75.8% (IQR: 69.3–87.7%), 74.6% (IQR: 54.4–74.6), and 79.8% (IQR: 67.0–79.8%) of HCPs had good knowledge, and positive attitude and practice, respectively. Although the reported risk factors were inconsistent among studies, age, gender, level of education, experience, infection prevention training, and sources of information were associated with knowledge of HCPs. In addition, being elderly, having a high level of education, absence of chronic illness, and good knowledge and practice were significantly associated with the attitude of HCPs. Further, types of profession, experience, age, level of education, use of personnel protective equipment, and gender were significantly associated with the practice of HCPs.Conclusions: Approximately, three-fourths of HCPs had good knowledge, attitudes, and practices toward COVID-19 during the first months of the pandemic, although the percentage of HCPs was inconsistent in different study settings. In addition, associated factors of KAP were inconsistent among studies; hence, stake holders should target locally identified risk factors to design relevant education packages and infection prevention training to halt the rapid transmission of COVID-19.Systematic Review Registration:https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020191742, identifier: CRD42020191742.
ObjectivesThis study aimed to assess the clinical pattern and predictors of stroke treatment outcomes among hospitalised patients in Felege Hiwot comprehensive specialised hospital (FHCSH) in northwest Ethiopia.DesignA retrospective cross-sectional study.SettingThe study was conducted medical ward of FHCSH.ParticipantsThe medical records of 597 adult patients who had a stroke were included in the study. All adult (≥18 years) patients who had a stroke had been admitted to the medical ward of FHSCH during 2015–2019 were included in the study. However, patients with incomplete medical records (ie, incomplete treatment regimen and the status of the patients after treatment) were excluded in the study.ResultsIn the present study, 317 (53.1%) were males, and the mean age of the study participants was 61.08±13.76 years. About two-thirds of patients (392, 65.7%) were diagnosed with ischaemic stroke. Regarding clinical pattern, about 203 (34.0%) of patients complained of right-side body weakness and the major comorbid condition identified was hypertension (216, 64.9%). Overall, 276 (46.2%) of them had poor treatment outcomes, and 101 (16.9%) of them died. Patients who cannot read and write (AOR=42.89, 95% CI 13.23 to 111.28, p<0.001), attend primary school (AOR=22.11, 95% CI 6.98 to 55.99, p<0.001) and secondary school (AOR=4.20, 95% CI 1.42 to 12.51, p<0.001), diagnosed with haemorrhagic stroke (AOR=2.68, 95% CI 1.62 to 4.43, p<0.001) and delayed hospital arrival more than 24 hours (AOR=2.92, 95% CI 1.83 to 4.66, p=0.001) were the independent predictors of poor treatment outcome.ConclusionsApproximately half of the patients who had a stroke had poor treatment outcomes. Ischaemic stroke was the most predominantly diagnosed stroke type. Education status, types of stroke and the median time from onset of symptoms to hospitalisation were the predictors of treatment outcome. Health education should be given to patients regarding clinical symptoms of stroke. In addition, local healthcare providers need to consider the above risk factors while managing stroke.
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