ABSTRACT
Background: During the 21st century, pandemics have emerged frequently and become more challenging. Coronavirus disease (COVID-19) is among the most prominent examples. A considerable public health issue following the pandemic is posttraumatic stress disorder (PTSD). COVID-19-recovered patients are highly susceptible to developing PTSD. Earlier epidemic studies showed a high prevalence of trauma-exposed people as a result of infectious diseases. This research aimed to quantify the estimated prevalence of PTSD and its contributing variables among COVID-19-recovered patients in Bangladesh. Methods: This was a cross-sectional research carried out through an e-survey comprising 326 individuals (69.0% male; mean age = 37.97 ± 13.02 years; age range = 18-76 years) and conducted between September 2020 to January 2021. The online survey included a section for gathering participant's informed permission as well as sections on key demographics and way of life, and social supports during the suffering period from acute COVID-19, as well as a PTSD Checklist for DSM-5 (PCL-5) to examine PSTD. Descriptive statistics and multiple regression analyses were performed. Results: The prevalence estimates of PTSD ranged between 36 and 41% based on three predefined cut-offs. As per multiple linear regression analysis, PTSD was much more common among those who took part and reported being middle-aged/older adults (≥40 years), having lower S.E.S., and who slept more (>9 h/day). In addition, PTSD was negatively associated (p <0.05) with the social support of family members/friends/relatives, and colleagues in working settings; while positively correlated with health care providers. Conclusion: The current investigation revealed a considerably higher level of PTSD among COVID-19-recovered patients. The findings suggest extending the mental health services, other covariates, and immediate intervention among national and international COVID-19 recovered patients.
ABSTRACT
Background: Financial hardship is a major concern for patients who are suffering from long-term underlying health conditions. It is likely that emergencies such as the COVID-19 pandemic would impose increased financial distress and lead to the development or exacerbation of mental health conditions. Objective: The present study aimed to explore the relationship between financial hardship and mental health conditions (loneliness, anxiety, and depression) among patients with underlying health conditions in Bangladesh. Methods: An e-survey based cross-sectional study was conducted among purposively selected 971 patients (50.1% male; mean age = 42.29 [SD = 15.86]) with underlying health conditions between November 2020 and January 2021. Depression, anxiety, and loneliness were measured using the Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder (GAD-7), and UCLA loneliness scale, respectively. Multiple logistic regression analyses were performed to determine any associations between financial hardship and mental health conditions (loneliness, anxiety, and depression). Results: 46.2% of participants reported experiencing financial difficulties, and a number of respondents (12.3%) had lost their jobs during the COVID-19 pandemic. The prevalence of anxiety, depression and loneliness were 35.2%, 38.9%, and 47.68%, respectively. In the multiple logistic regression analysis, age, gender, occupation, marital status, monthly income, self-reported health status and financial hardship were significantly associated with mental health conditions. Conclusions: Mental health problems were prevalent among people with underlying health conditions and were also associated with financial difficulties. The findings suggest that care facilities should be strengthened by including psychosocial support components delivered with lower costs, particularly for patients with underlying health conditions.
ABSTRACT
BACKGROUNDS: Nowadays developing smart and fast services for patients and transforming hospitals to modern hospitals is considered a necessity. Living in the world inundated with information systems, designing services based on information technology entails a suitable architecture framework. OBJECTIVES: This paper aims to present a localized enterprise architecture framework for the Iranian university hospital. METHODS AND RESULTS: Using two dimensions of implementation and having appropriate characteristics, the best 17 enterprises frameworks were chosen. As part of this effort, five criteria were selected according to experts' inputs. According to these criteria, five frameworks which had the highest rank were chosen. Then 44 general characteristics were extracted from the existing 17 frameworks after careful studying. Then a questionnaire was written accordingly to distinguish the necessity of those characteristics using expert's opinions and Delphi method. The result showed eight important criteria. In the next step, using AHP method, TOGAF was chosen regarding having appropriate characteristics and the ability to be implemented among reference formats. In the next step, enterprise architecture framework was designed by TOGAF in a conceptual model and its layers. For determining architecture framework parts, a questionnaire with 145 questions was written based on literature review and expert's opinions. The results showed during localization of TOGAF for Iran, 111 of 145 parts were chosen and certified to be used in the hospital. CONCLUSION: The results showed that TOGAF could be suitable for use in the hospital. So, a localized Hospital Enterprise Architecture Modelling is developed by customizing TOGAF for an Iranian hospital at eight levels and 11 parts. This new model could be used to be performed in other Iranian hospitals.
