A major feature of health care systems is substantial variation in health care quality across hospitals. The quality of stroke care widely varies across NHS hospitals. We investigate factors that may explain variations in health care quality using measures of quality of stroke care. We combine NHS trust data from the National Sentinel Stroke Audit with other data sets from the Office for National Statistics, NHS and census data to capture hospitals’ human and physical assets and organisational characteristics. We employ a class of non-parametric methods to explore the complex structure of the data and a set of correlated random effects models to identify key determinants of the quality of stroke care. The organisational quality of the process of stroke care appears as a fundamental driver of clinical quality of stroke care. There are rich complementarities amongst drivers of quality of stroke care. The findings strengthen previous research on managerial and organisational determinants of health care quality.
The new coronavirus disease-SARS-CoV-2 (COVID-19)-has spurred governments to severely restrict economic activity, which has wreaked havoc on labor markets (Dobbins, 2020;Hodder, 2020;Koebel & Pohler, 2020). Evidence to date suggests that its impact on participation in paid work is deeply unequal (Adams-Prassl et al., 2020; Brewer & Gardiner, 2020), with significant disparities between developed and developing economies (Ghosh, 2020a; ILO, 2021a). Yet, the employment relations literature has thus far focused mostly on OECD economies (e.g., Adams-
Delayed discharges of patients from hospitals, also known as bed--blocking is a long standing policy concern. Such delays can increase hospital treatment costs and may also lead to poorer patient health and experience. Prior research indicates that external factors, such as, greater availability and better affordability of long term care associated with lower delays. Using theories from Economics, this study examines the role of within--hospital factors, namely, staff well--being in alleviating hospital delayed days. We use a new panel database of delays in all English hospital trusts from 2011/12 to 2014/15. Employing longitudinal count data models, the paper finds that staff well--being is associated with lower hospital delayed discharges controlling for long--term factors and management quality. The findings are robust to alternative methods and measures of delayed discharges.
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