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      The COVID-19 Pandemic’s Impact on UK Older People’s Social Workers: A Mixed-Methods Study

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          Abstract

          The social work profession was heavily impacted by the COVID-19 pandemic. In this study, we examined the well-being, working conditions and intentions to leave the social work profession among a sample of UK older people’s social workers. This was a cross-sectional mixed methods study analysing data from 426 social workers who worked in older people’s services in the UK at five time points of the pandemic spanning 2020–2022. Data were collected using anonymous online surveys which included both quantitative and qualitative questions. The mental well-being of participants decreased as the pandemic progressed and this decline was associated with intentions to leave the profession. Thematic analysis of qualitative data revealed two major themes: Practice challenges and Staff well-being. The findings highlight the nature of stressors related to internal related practice demands, and external health and social care service stressors encountered during the COVID-19 pandemic and have implications for policy, practice and research in older people’s social work.

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          One size fits all? What counts as quality practice in (reflexive) thematic analysis?

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            A Meta-Analysis of Antecedents and Correlates of Employee Turnover: Update, Moderator Tests, and Research Implications for the Next Millennium

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              Internal construct validity of the Warwick-Edinburgh Mental Well-being Scale (WEMWBS): a Rasch analysis using data from the Scottish Health Education Population Survey

              Background The Warwick-Edinburgh Mental Well-Being Scale (WEMWBS) was developed to meet demand for instruments to measure mental well-being. It comprises 14 positively phrased Likert-style items and fulfils classic criteria for scale development. We report here the internal construct validity of WEMWBS from the perspective of the Rasch measurement model. Methods The model was applied to data collected from 779 respondents in Wave 12 (Autumn 2006) of the Scottish Health Education Population Survey. Respondents were aged 16–74 (average 41.9) yrs. Results Initial fit to model expectations was poor. The items 'I've been feeling good about myself', 'I've been interested in new things' and 'I've been feeling cheerful' all showed significant misfit to model expectations, and were deleted. This led to a marginal improvement in fit to the model. After further analysis, more items were deleted and a strict unidimensional seven item scale (the Short Warwick Edinburgh Mental Well-Being Scale (SWEMWBS)) was resolved. Many items deleted because of misfit with model expectations showed considerable bias for gender. Two retained items also demonstrated bias for gender but, at the scale level, cancelled out. One further retained item 'I've been feeling optimistic about the future' showed bias for age. The correlation between the 14 item and 7 item versions was 0.954. Given fit to the Rasch model, and strict unidimensionality, SWEMWBS provides an interval scale estimate of mental well-being. Conclusion A short 7 item version of WEMWBS was found to satisfy the strict unidimensionality expectations of the Rasch model, and be largely free of bias. This scale, SWEMWBS, provides a raw score-interval scale transformation for use in parametric procedures. In terms of face validity, SWEMWBS presents a more restricted view of mental well-being than the 14 item WEMWBS, with most items representing aspects of psychological and eudemonic well-being, and few covering hedonic well-being or affect. However, robust measurement properties combined with brevity make SWEMWBS preferable to WEMWBS at present for monitoring mental well-being in populations. Where face validity is an issue there remain arguments for continuing to collect data on the full 14 item WEMWBS.
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                Journal
                The British Journal of Social Work
                Oxford University Press (OUP)
                0045-3102
                1468-263X
                December 01 2023
                December 07 2023
                May 30 2023
                December 01 2023
                December 07 2023
                May 30 2023
                : 53
                : 8
                : 3838-3859
                Article
                10.1093/bjsw/bcad139
                d1774c00-d33c-46ce-98e3-0c31f4412344
                © 2023

                https://creativecommons.org/licenses/by-nc/4.0/

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