BACKGROUND: Self-medication is one aspect of self-care that has been shown to benefit primary health care. When done correctly, it provides significant benefits to customers, such as self-reliance and cost savings. Inappropriate methods, on the other hand, such as incorrect self-diagnosis and therapy selection, can be disastrous. The COVID-19 pandemic context may benefit the community in easing the burden on the health system. There have been no studies conducted on this possibility in the context of COVID-19 in a selected area, hence the purpose of this study was to determine the extent of and factors associated with self-medication among clients visiting community pharmacies in west Harerghe, Ethiopia from June 1 to 30, 2020. METHODS: This institution-based cross-sectional study used a systemic random sample of 416 community-pharmacy clients. To collect data, face-to-face interviews were conducted using pretested semistructured questionnaires modified from established techniques. EpiData 3.1 was used to enter data and SPSS 24 for analysis. To determine factors associated with self-medications, bivariate and multivariate logistic regression analyses were performed. AORs with 95% CIs are used to report associations, and the level of significance was set at P<0.05. RESULTS: The proportion of people self-medicating was 73.6% (95% CI 69.2%–77.9%). Self-medications were significantly associated with age 18–24 years (AOR 9.28, 95% CI 3.56–24.21) and 25–34 years (AOR 3.54, 95% CI 1.35–9.27), Amhara ethnicity (AOR 1.72, 95% CI 1.01–2.94), current single status (AOR 0.28, 95% CI 0.15–0.51), government employment (AOR 0.31, 95% CI 0.12–0.82), and limited knowledge (AOR 2.31, 95% CI 1.40–3.79). CONCLUSION: Three in four participants practiced self-medication in the era of COVID-19. Repetition was significantly associated with age, ethnicity, current marital status, type of occupation, and knowledge about self-medications. An alternative medical care–delivery system by all health-care providers and increasing community ...
Aklilu Tekeba,1 Yohanes Ayele,2 Belay Negash,3 Tigist Gashaw4 1Micheta Community Pharmacy, Daro Lebu Health Office, West Harerghe, Ethiopia; 2Department of Clinical Pharmacy, School of Pharmacy, College of Health and Medical Sciences, Hawassa University, Hawassa, Ethiopia; 3School of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia; 4Department of Pharmacology and Toxicology, School of Pharmacy, College of Health and Medical Sciences, Haramaya University, Harar, EthiopiaCorrespondence: Tigist GashawDepartment of Pharmacology and Toxicology, School of Pharmacy, College of Health and Medical Sciences, Haramaya University, PO Box 235, Harar, EthiopiaTel +251-91-202-7244Fax +256668081Email yekalabel@gmail.comBackground: Self-medication is one aspect of self-care that has been shown to benefit primary health care. When done correctly, it provides significant benefits to customers, such as self-reliance and cost savings. Inappropriate methods, on the other hand, such as incorrect self-diagnosis and therapy selection, can be disastrous. The COVID-19 pandemic context may benefit the community in easing the burden on the health system. There have been no studies conducted on this possibility in the context of COVID-19 in a selected area, hence the purpose of this study was to determine the extent of and factors associated with self-medication among clients visiting community pharmacies in west Harerghe, Ethiopia from June 1 to 30, 2020.Methods: This institution-based cross-sectional study used a systemic random sample of 416 community-pharmacy clients. To collect data, face-to-face interviews were conducted using pretested semistructured questionnaires modified from established techniques. EpiData 3.1 was used to enter data and SPSS 24 for analysis. To determine factors associated with self-medications, bivariate and multivariate logistic regression analyses were performed. AORs with 95% CIs are used to report associations, and the level of significance was set at P< 0.05.Results: The proportion of people self-medicating was 73.6% (95% CI 69.2%– 77.9%). Self-medications were significantly associated with age 18– 24 years (AOR 9.28, 95% CI 3.56– 24.21) and 25– 34 years (AOR 3.54, 95% CI 1.35– 9.27), Amhara ethnicity (AOR 1.72, 95% CI 1.01– 2.94), current single status (AOR 0.28, 95% CI 0.15– 0.51), government employment (AOR 0.31, 95% CI 0.12– 0.82), and limited knowledge (AOR 2.31, 95% CI 1.40– 3.79).Conclusion: Three in four participants practiced self-medication in the era of COVID-19. Repetition was significantly associated with age, ethnicity, current marital status, type of occupation, and knowledge about self-medications. An alternative medical care–delivery system by all health-care providers and increasing community awareness should be promoted.Keywords: self-medication, community pharmacy, COVID-19, Ethiopia
INTRODUCTION: Hypertension is an overwhelming global challenge. Appropriate lifestyle modifications are the cornerstone for the prevention and control of hypertension. In this regard, lack of knowledge and poor attitude toward lifestyle modification have been a major setback. OBJECTIVE: To assess knowledge, attitude and practice of lifestyle modification recommended for hypertension management and the associated factors among adult hypertensive patients in Harar, Eastern Ethiopia. METHODS: Hospital-based cross-sectional study was conducted among 274 hypertensive patients in Hiwot Fana Specialized University Hospital, from 1 March to 30 May 2019. The pre-tested structured questionnaire was used, and the data were collected through an interview. The data were analyzed using SPSS version 20. A multivariate logistic regression model was fitted to determine independent predictors of knowledge and practice of lifestyle modifications among hypertensive patients. Adjusted odds ratio (AOR) at 95% confidence interval (CI) was used for predicting the independent effect of each variable on the outcome variables. RESULTS: From the total participants, 200 (73.0%) of participants had good knowledge, 182 (66.4%) had favorable attitude and 136 (49.6%) had good practice on lifestyle modification recommended for hypertension management. Regarding factors associated with lifestyle modification, being in age range of 46–64 years (AOR: 4.08, 95% CI: 1.14–14.56); having formal education (AOR: 3.93, 95% CI: 1.27–12.23); being government employee (AOR: 8.06, 95% CI: 1.40–46.32) and being housewives (AOR: 5.10, 95% CI: 1.26–20.79) were factors significantly associated with good knowledge of lifestyle modification, However, favorable attitude was found to be the only factor associated with good practice of lifestyle modification (AOR: 9.20, 95% CI: 2.60–32.24). CONCLUSION: In the current study, knowledge and attitude toward lifestyle modification recommended for hypertension management was fairly good but practice level was poor. ...
The content is solely the responsibility of the authors and does not necessarily represent the official views of the funders. Data for this research was provided by MEASURE Evaluation, funded by the United States Agency for International Development (USAID). Views expressed do not necessarily reflect those of USAID, the US Government, or MEASURE Evaluation. The Palestinian Central Bureau of Statistics granted the researchers access to relevant data in accordance with licence no. SLN2014-3-170, after subjecting data to processing aiming to preserve the confidentiality of individual data in accordance with the General Statistics Law-2000. The researchers are solely responsible for the conclusions and inferences drawn upon available data. ; Background Assessments of age-specific mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally. Methods The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specific mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in different components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950. Findings Globally, 18·7% (95% uncertainty interval 18·4–19·0) of deaths were registered in 1950 and that proportion has been steadily increasing since, with 58·8% (58·2–59·3) of all deaths being registered in 2015. At the global level, between 1950 and 2017, life expectancy increased from 48·1 years (46·5–49·6) to 70·5 years (70·1–70·8) for men and from 52·9 years (51·7–54·0) to 75·6 years (75·3–75·9) for women. Despite this overall progress, there remains substantial variation in life expectancy at birth in 2017, which ranges from 49·1 years (46·5–51·7) for men in the Central African Republic to 87·6 years (86·9–88·1) among women in Singapore. The greatest progress across age groups was for children younger than 5 years; under-5 mortality dropped from 216·0 deaths (196·3–238·1) per 1000 livebirths in 1950 to 38·9 deaths (35·6–42·83) per 1000 livebirths in 2017, with huge reductions across countries. Nevertheless, there were still 5·4 million (5·2–5·6) deaths among children younger than 5 years in the world in 2017. Progress has been less pronounced and more variable for adults, especially for adult males, who had stagnant or increasing mortality rates in several countries. The gap between male and female life expectancy between 1950 and 2017, while relatively stable at the global level, shows distinctive patterns across super-regions and has consistently been the largest in central Europe, eastern Europe, and central Asia, and smallest in south Asia. Performance was also variable across countries and time in observed mortality rates compared with those expected on the basis of development. Interpretation This analysis of age-sex-specific mortality shows that there are remarkably complex patterns in population mortality across countries. The findings of this study highlight global successes, such as the large decline in under-5 mortality, which reflects significant local, national, and global commitment and investment over several decades. However, they also bring attention to mortality patterns that are a cause for concern, particularly among adult men and, to a lesser extent, women, whose mortality rates have stagnated in many countries over the time period of this study, and in some cases are increasing. ; Research reported in this publication was supported by the Bill & Melinda Gates Foundation, the University of Melbourne, Public Health England, the Norwegian Institute of Public Health, St. Jude Children's Research Hospital, the National Institute on Aging of the National Institutes of Health (award P30AG047845), and the National Institute of Mental Health of the National Institutes of Health (award R01MH110163). ; Peer reviewed