ObjectiveThis study aimed to assess factors associated with poor medication adherence during the COVID-19 pandemic among hypertensive patients visiting public hospitals in Eastern Ethiopia.SettingHospital-based cross-sectional study was conducted in Harari regional state and Dire Dawa Administration from 1 January to 30 February 2022. Both settings are found in Eastern Ethiopia.ParticipantsA total of 402 adult hypertensive patients who visited the chronic diseases clinic for follow-up were included in the study.Main outcome measuresThe main outcome measure was poor medication adherence during the COVID-19 pandemic.ResultsThe level of poor antihypetensive medication adherence was 63% (95% CI 48.1 to 67.9). Patients who had no formal education (adjusted OR (AOR)=1.56, 95% CI 1.03 to 4.30), existing comorbid conditions (AOR=1.98, 95% CI 1.35 to 4.35), self-funded for medication cost (AOR=2.05, 95% CI 1.34 to 4.73), poor knowledge about hypertension (HTN) and its treatment (AOR=2.67, 95% CI 1.45 to 3.99), poor patient–physician relationship (AOR=1.22, 95% CI 1.02 to 4.34) and unavailability of medication (AOR=5.05, 95% CI 2.78 to 12.04) showed significant association with poor medication adherence during the pandemic of COVID-19.ConclusionThe level of poor antihypertensive medication adherence was high in this study. No formal education, comorbidity, self-funded medication cost, poor knowledge about HTN and its treatment, poor patient–physician relationship, and unavailability of medication during the COVID-19 pandemic were factors significantly associated with poor adherence to antihypertensive medication. All stakeholders should take into account and create strategies to reduce the impact of the COVID-19 pandemic on medication adherence of chronic diseases.

IntroductionAcceptance of vaccination among Health Care Workers is mandatory to lessen and curve the spread of transmission of COVID-19. Even though the Health Belief Model is one of the most widely used models for understanding vaccination behavior against COVID-19 disease, COVID-19 vaccine acceptance among Health Care Workers in Ethiopia was not adequately explored by using the Health Belief Model domains.PurposeThis study aimed to assess COVID-19 vaccine acceptance and associated factors among Health care workers in eastern, Ethiopia.MethodsInstitutional-based cross-sectional study design was used among 416 health care workers selected by a systematic random sampling method from June 1- 30/2021. The data were collected by face-to-face interviews using semi-structured questionnaires and analyzed using STATA version 14 statistical software. Multivariable binary logistic regression analysis with a 95% confidence interval was carried out to identify factors associated with willingness to COVID-19 vaccine acceptance and a statistical significance was declared at a P-value < 0.05.ResultsThe willingness of health care workers to accept the COVID-19 vaccine was 35.6% making a response rate of 99.7%. Age 30-39 (AOR = 4.16;95% CI: 2.51, 6.88), age ≥ 40 years (AOR = 3.29;95% CI: 1.47, 7.39), good attitude (AOR = 1.97; 95% CI: 1.00, 3.55), perceived susceptibility (AOR = 1.93; 95% CI: 1.12, 3.32), and perceived severity (AOR = 1.78; 95% CI: 1.03, 3.10) were factors significantly associated with Health Care Workers acceptance of COVID-19 vaccine.ConclusionThe willingness to accept the COVID-19 vaccine was low. Factors significantly associated with the willingness to accept the COVID-19 vaccine were age, good attitude, perceived susceptibility, and perceived severity of the disease. The low willingness of Health Care Workers to accept the COVID-19 vaccine was alarming and it needs more emphasis from the government in collaboration with other stakeholders to provide reliable information to avert misconceptions and rumors about the vaccine to improve the vaccine status of Health Care Workers to protect the communities.

BackgroundCoronavirus disease (COVID-19) is a viral-borne infection caused by the SARS-CoV-2 virus. Aside from the morbidity and mortality effects, it leaves the majority of hypertensive patients untreated and vulnerable to uncontrolled hypertension.ObjectiveThe purpose of this study was to assess follow-up conditions of care and its associated factors among adult hypertensive patients during COVID-19 in public health facilities of West Arsi, Southeastern Ethiopia.MethodsA health facility-based retrospective cross-sectional study was conducted among 423 adult hypertensive patients in the West Arsi public health facilities from July 5 to August 6, 2021. A systematic random sampling technique was used to recruit the study participants. A pretested structured face-to-face interviewer and medical records were used to collect sociodemographic variables, basic clinical features, and follow-up data. The follow-up conditions of care were assessed using 12 items with “yes or no” questions. Then, based on the mean value of the items, the follow-up conditions of care were dichotomized into good and poor. As a result, the follow-up condition was good if the score was greater or equal to the mean, and poor unless otherwise. To investigate parameters related with follow-up conditions of care, bivariable and multivariable logistic regression analyses were used. A 95% confidence interval and a p-value of 0.05 were used to indicate a significant association.ResultsThe rate of poor follow-up conditions of care during COVID-19 was 29% (95% confidence interval: 24.9–33.4%), according to this study. Age ≥ 60 years (AOR = 3.55; 95% CI: 2.09–6.03), transportation problem (AOR = 2.43; 95% CI: 1.28–4.61), fear of COVID-19 (AOR = 3.34; 95% CI: 1.59–7.01), co-morbidity (AOR = 1.93; 95% CI: 1.14–3.26) and physical distancing (AOR = 2.43; 95% CI: 1.44–4.12) were significantly associated with poor follow-up conditions of care.ConclusionsIn our study, 29% of the participants had poor follow-up care conditions. When compared to WHO recommendations, the findings of this study may explain poor follow-up care conditions. To enhance patients' follow-up treatment, evidence-based target interventions should be designed and executed, taking into account individuals at high risks, such as those over the age of 60 and those with comorbidities, and identifying additional risk factors.

Objective To assess the magnitude and factors associated with depression and anxiety among people with epilepsy and attending out-patient treatment at central Gondar zone primary public hospitals, northwest, Ethiopia. Method An institutional based cross-sectional study was conducted from May—June, 2020 at central Gondar zone primary public hospitals. A total of 589 participants were chosen by systematic sampling technique. Data was collected by utilizing Amharic version interviewer-administered structured and semi-structured questioners. Depression and anxiety were assessed by using hospital anxiety and depression scale. Bivariate and multivariate logistic regression analysis was done to recognize variables related to both depression and anxiety. Association was described by using “adjusted odds ratio” (AOR) along with 95% full Confidence interval (CI). Finally, P-values < 0.05 in adjusted analysis were taken as a cut off for significant association. Result Out of 556 participants included in the study, 30.9%, 33.1% had depression and anxiety respectively. Being divorced/widowed (AOR = 2.43, 95% CI, 1.18–4.99), using two and above number of antiepileptic medications (AOR = 1.77,95% CI,1.02–3.09), very frequent seizure frequency (AOR = 2.68, 95% CI,1.30–5.51), current substance use (AOR = 1.82, 95% CI, 1.03–3.22), perceived stigma (AOR = 5.67,95% CI,3.14–8.18), and hazardous alcohol use (AOR = 2.84, 95% CI,1.32–6.09) were statistically associated with depression. While, being a single (AOR = 1.65, 95% CI, 1.04–2.63), using two and above number of antiepileptic medications (AOR = 2.27, 95% CI, 1.42–3.62), duration of illness ≥16 years (AOR = 2.82, 95% CI, 1.26–6.31), and perceived stigma (AOR = 2.49, 95% CI, 1.63–3.82) were statistically associated with anxiety at a p-value < 0.05. Conclusion This study showed that the magnitude of depression and anxiety were relatively high among people with epilepsy. Using two and above number of antiepileptic medications and perceived stigma were statistically associated with both depression and anxiety. Screening, early identification and providing appropriate intervention of depression and anxiety among people with epilepsy should be great concern for the health care providers.

ObjectiveImmunization is still one of the best ways to reduce viral-related morbidity and mortality . Therefore, this study aimed to assess COVID-19 vaccine acceptance and associated factors among adult clients at public hospitals in Eastern Ethiopia.MethodA multicentred facility-based cross-sectional study design was utilised. The systematic random sampling technique was used to select 420 study participants. The characteristics of individuals were described using descriptive statistical analysis such as frequency, median and IQR. Mean was used for health belief model components. The association was assessed using bivariate and multivariable logistic regression and described by the OR along with a 95% CI. Finally, a p-value<0.05 in the adjusted analysis was used to declare a significant association.Outcome measureCOVID-19 vaccine acceptance and associated factors.ResultA total of 412 adult clients were interviewed, with a response rate of 98.1%. Of the total study participants, 225 (54.6%; 95% CI: 50.0% to -59.7%) were willing to accept the COVID-19 vaccine. Age≥46 (adjusted OR, AOR=3.64, 95% CI: 1.35- to 9.86), college and above level of education (AOR=2.50, 95% CI: 1.30- to 4.81), having health insurance (AOR=1.79, 95% CI: 1.11- to 2.87) and experiencing chronic disease (AOR=1.96, 95% CI: 1.02- to 3.77) were predictor variables. Also, components of the health belief model were significantly associated with COVID-19 vaccine acceptance.ConclusionCOVID-19 vaccine acceptance among the adult population was low compared to other study. Factors associated with COVID-19 vaccine acceptance were age, college and above level of education, having a chronic disease, having health insurance, perceived susceptibility, perceived severity, perceived benefit and perceived barrier.Improving awareness about COVID-19 among all sections of the population is crucial to improving vaccine acceptability.