Patient Satisfaction Scale for Hospitalized COVID-19 Patients: Development and Psychometric Properties.

Objective: Patients' appraisal of health care delivery system and services during COVID-19 could be an important yardstick for hospital administration and policy makers. The study attempted to develop and test the psychometric properties of a new patient satisfaction scale for COVID-19 patients. Methods: A total of 446 COVID-19-hospitalized COVID-19 patients in a tertiary care designated COVID-19 care hospital constituted the sample. Factor structure of scale was obtained using exploratory factor analysis (EFA). Internal consistency, split-half reliability, and validity (e.g., content, convergent, and divergent) were also evaluated. Results: Item reduction resulted in a 21-item scale consisting of three factors, namely COVID-19-focused treatment facility, COVID-19-appropriate hospital facility, and COVID-19-specific daily needs service facility. It demonstrated excellent internal consistency and reliability (Cronbach's alpha [α]: 0.93; Split-half reliability: 0.90), excellent content validity, and adequate convergent and divergent validity. The scale had no floor effects. Inter-index correlations were significant. To our knowledge: this scale is the first such psychometrically robust self-rated scale for patients' perception about hospital services during COVID-19. Available in both Hindi and English languages, the scale provides a quick measure of patient experience regarding CCOVID-19-specific hospital services.

Socio-behavioural impact of COVID-19 on general population: A cross-sectional survey of one thousand seventy-nine participants across India between the first and the second wave of pandemic.

BACKGROUND AND AIMS: COVID-19 is expected to have a significant impact on the socio-behavioural aspect of citizens' lives, although the effects are expected to manifest differently in different population groups. The current study was conducted to assess the socio-behavioural impact of COVID-19 among the general population across India between the first and the second wave of pandemic. METHODS: A web-based cross-sectional study was conducted from 15th March -25th March 2021 using a pre-validated validated questionnaire upon the general population using e-survey, telephonic and face-to-face interview. The participants were recruited from the different regions of India by the purposive and snowball sampling technique following the principle of maximum diversity. Appropriate statistical tests were applied to study the association between the various sociodemographic variables and different behaviours. RESULTS: A total of 1079 responses were analysed for the study. Almost half of the participants feared contracting the COVID-19 infection. Overall, female participants, elderly people (more than 60 years of age) and urban dwellers reported a greater fear in the survey. More than half of the participants (53.39%) reported significant difficulties due to home confinement. People have become more inclined to adopt healthy lifestyles. There are mixed responses in the area of following preventive practices. CONCLUSION: People have a significant amount of fear and anxiety related to the pandemic, leading to several social and behavioural changes that might have a considerable impact on their everyday lives.

Impact of medical intervention on stress and quality of life in patients with cancer.

CONTEXT: Many studies have explored stress and quality of life in (QOL) patients with cancer, under several phases of disease and treatment. However, the impact of medical intervention on psychological parameters, such as stress and quality of life focusing on psychological intervention has been sparsely studied. AIMS: The main aim of the study was to examine the impact of medical intervention on the level of stress and quality of life of patients with lung, breast, and head and neck cancers. SETTINGS AND DESIGN: The study was carried out in hospital settings by following a one-group pre-test-post-test pre-experimental design. STATISTICAL ANALYSIS USED: The quantitative data were analysed by means of descriptive statistics, paired t-tests, Cohen's d, and bar graphs accordingly. RESULTS: The effect of medical intervention was medium in case of reduction of overall stress in participants. So far as the components are concerned, the effect was high in case of psychosomatic complaints, medium in case of fear and information deficit, and low in case of everyday life restrictions. The effect of medical intervention in respect of the quality of life was found to be high in case of symptom scale (pain) and additional symptoms (constipation); medium in case of functional scale (emotional functioning, cognitive functioning) and symptoms scale (nausea, vomiting). In additional symptoms scale the effect of medical intervention was found to be medium in dyspnoea and appetite loss. CONCLUSIONS: The findings revealed that though the medical intervention reduced stress and improved the quality of life, it was not instrumental in bringing down the stress to minimal level and enhancing the quality of life to optimum level. Therefore, the findings point to the need of inclusion of psychological intervention along with the medical intervention for minimizing stress and optimizing the quality of life of patients with cancer.