Common mental health problems and associated factors among recovered COVID-19 patients in rural area: A community-based survey in Bangladesh.

PURPOSE: Since the coronavirus (COVID-19) was announced as being a global pandemic on 11 March, governments from all parts of the world declared a quarantine period, during which people were prohibited from leaving their homes (except for essential activities) to contain the spread of the virus. Since then, the population has faced different levels of restrictions (i.e., mobility, social activities) that limited participation in normal daily routines. Consequently, these restrictions may have adversely changed physical activity, diet, sleep patterns, and screen time or work routine. So, the pandemic has had profound influence on the mental health of the entire societies. As the mental health status of Bangladeshi patients living in rural area that have recovered from COVID-19 has not been previously studied, this gap is addressed through the present investigation focusing on one rural Bangladeshi community. METHODS: A convenience sampling method was employed to recruit participants for this cross-sectional study. Data was gathered by conducting face-to-face interviews with 243 recovered COVID-19 patients (as confirmed by a positive Reverse Transcription PCR test) attending a local primary health care facility center and instructed to consider how they felt in the preceding week. RESULTS: By administering a validated Bengali version of the Depression, Anxiety, and Stress Scale (DASS-21) to measure participants' mental health status, we noted that 24% of the sample exhibited depressive symptoms. In addition, 30.9% and 21.8% of the participants experienced stress symptoms and reported anxiety, respectively. Sociodemographic factors such as female sex, lower educational level, living away from family, smaller living accommodations, and lower economic status significantly predicted mental health outcomes in multivariate logistic regressions. CONCLUSION: These results may help health care providers formulate proper mental health interventions and preventive measures to minimize the mental health problems among patients that have recovered from COVID-19.

Assessment of risk perception and risk communication regarding COVID-19 among healthcare providers: An explanatory sequential mixed-method study in Bangladesh.

Background: Any public health emergency demands adequate risk communication with the vulnerable population along with their optimized perception about the impending risk to ensure proper risk management and crisis control. Hence, this study will be conducted to explore healthcare providers' perceptions regarding risks of coronavirus disease 2019 (COVID-19), as well as how they are being communicated to about the risk, and how they practice risk reduction measures. Methods: A two-phased explanatory sequential mixed-method study will be conducted among physicians and nurses from randomly selected tertiary healthcare facilities in Dhaka, the capital of Bangladesh. In the first phase, the general pattern and quantifiable measures of risk perception, risk communication, and infection prevention practices will be assessed quantitatively. Multiple linear regression analyses will be performed to explore how much variability of risk perception is predicted by risk communication methods and contents. In the second phase, qualitative data will be collected for in-depth understanding and exploration of participants' experiences and insights regarding COVID-19 risk through interviews and document reviews. Thematic content analysis of the qualitative data will be done manually. Findings from both quantitative and qualitative phases will then be triangulated to illustrate the research objectives. Discussion: Based on the psychometric dimensions of risk perception and psycho-social theory of the health belief model, perception of COVID-19 risk among healthcare providers will be evaluated in this study. The relationship between risk perception and infection prevention and control practices among healthcare providers will also be investigated. The explanatory sequential design of this study is expected to generate hypotheses on how risk perception is being shaped in a time of uncertainty and thus, will help to build a proper risk communication strategy to minimize risk perception among healthcare providers.