RESUMO
Introduction: Each year, antibiotics save hundreds of thousands of lives; nonetheless, antibiotic self-administration is a major concern all over the world. This study aimed to investigate the prevalence of antibiotic self-administration among two-month adult antibiotic users as well as the factors contributing to this prevalence. Method and Participants: This cross-sectional study was conducted among 295 Bangladeshi adults between May 22nd and June 15th, 2021, during the COVID-19 pandemic. Descriptive statistics included frequency distribution, while inferential statistics included the Pearson chi-square test. For data analysis, the statistical software STATA-16 was used. Results: In this study, the prevalence of antibiotic self-administration was 17.97%. Antibiotic self-administration was found to be significantly more prevalent among those who were unable to take antibiotic on time, incomplete doses, did not know over prescriptions may cause antibiotic resistance, and could not correctly recognize amoxicillin and azithromycin are antibiotics. Conclusion: Due to the increased rate of antibiotic self-administration among adults in Bangladesh, the responsible authority should give more attention towards the factors responsible for antibiotic self-administration and revise their current policy to ensure the safe and effective use of antibiotics.
RESUMO
BACKGROUND: The COVID-19 pandemic jeopardized the traditional academic learning calendars due to the closing of all educational institutions across the globe. To keep up with the flow of learning, most of the educational institutions shifted toward e-learning. However, the students' e-learning preference and e-learning readiness did not identify, particularly among the Bangladeshi female nursing students, where those can pose serious challenges. A cross-sectional study was carried out among the female nursing students between December 26, 2020, and January 11, 2021. A total of 237 students were recruited who have enrolled in e-learning at least the last 30 days of the participation. Multivariable linear regression models were fitted to find the association of students' preference, e-learning readiness domains, and other variables. RESULTS: A cross-sectional study was conducted among the female nursing students to assess perceived e-learning readiness in the subdomains of readiness; availability, technology use, self-confidence, acceptance and training. The findings of the study revealed that the prevalence of preference for e-learning was 43.46%. The students did not prefer e-learning compared to 'prefer group' has significantly less availability of technology (ß = - 3.01, 95% CI - 4.46, - 1.56), less use of technology (ß = - 3.08, 95% CI - 5.11, - 1.06), less self-confidence (ß = - 4.50, 95% CI - 7.02, - 1.98), less acceptance (ß = - 5.96, 95% CI - 7.76, - 4.16) and less training need (ß = - 1.86, 95% CI - 2.67, - 1.06). The age, degree, residence, parents' highest education, having a single room, and having any eye problems were significantly associated with the variation of availability of technology, use of technology, self-confidence, acceptance, and training need of e-learning. CONCLUSIONS: The outcomes of the study could be helpful while developing an effective and productive e-learning infrastructure regarding the preparedness of nursing colleges for the continuation of academia in any adverse circumstances like the COVID-19 pandemic.
RESUMO
Background: Telehealth is comprised of telecommunications and electronic information systems to support and maintain long-distance healthcare services. Although it has not been thoroughly explored, the intention of using the service among the general public is critical to its success. We investigated the factors associated with the intention to utilize telehealth services among the general population of Bangladesh. Methods: This cross-sectional study was conducted between May 22, 2021 and June 15, 2021 in Bangladesh, where the total number of participants was 1038. The Pearson chi-square test and Kruskal-Wallis H tests were used to examine the unadjusted relationship between the explanatory variables and the intention to use telehealth services. A multinomial logistic regression model was fitted to determine the adjusted association. Shapiro-Wilk tests were used to check the normality of continuous data. Data were processed and analyzed by software STATA-16. Results: The probability of utilizing the service increased significantly with increasing knowledge, perceived benefit, and predisposition levels among respondents. However, when perceived concern increased, the likelihood of utilizing the service dropped significantly. Age, marital status, educational status, profession, residence, and perceived health status were significantly associated with the participants' intention to utilize the telehealth service. Conclusions: The influencing aspects of telehealth service utilization should be recognized by the respective authorities. Possible activities to enhance usability among people are also recommended.
