Background The impact of COVID-19 on physical and mental health and employment after hospitalisation with acute disease is not well understood. The aim of this study was to determine the effects of COVID-19-related hospitalisation on health and employment, to identify factors associated with recovery, and to describe recovery phenotypes. MethodsThe Post-hospitalisation COVID-19 study (PHOSP-COVID) is a multicentre, long-term follow-up study of adults (aged ≥18 years) discharged from hospital in the UK with a clinical diagnosis of COVID-19, involving an assessment between 2 and 7 months after discharge, including detailed recording of symptoms, and physiological and biochemical testing. Multivariable logistic regression was done for the primary outcome of patient-perceived recovery, with age, sex, ethnicity, body-mass index, comorbidities, and severity of acute illness as covariates. A posthoc cluster analysis of outcomes for breathlessness, fatigue, mental health, cognitive impairment, and physical performance was done using the clustering large applications k-medoids approach. The study is registered on the ISRCTN Registry (ISRCTN10980107). Findings We report findings for 1077 patients discharged from hospital between March 5 and Nov 30, 2020, who underwent assessment at a median of 5•9 months (IQR 4•9-6•5) after discharge. Participants had a mean age of 58 years (SD 13); 384 (36%) were female, 710 (69%) were of white ethnicity, 288 (27%) had received mechanical ventilation, and 540 (50%) had at least two comorbidities. At follow-up, only 239 (29%) of 830 participants felt fully recovered, 158 (20%) of 806 had a new disability (assessed by the Washington Group Short Set on Functioning), and 124 (19%) of 641 experienced a health-related change in occupation. Factors associated with not recovering were female sex, middle age (40-59 years), two or more comorbidities, and more severe acute illness. The magnitude of the persistent health burden was substantial but only weakly associated with the severity of acute illness. Four clusters were identified with different severities of mental and physical health impairment (n=767): very severe (131 patients, 17%), severe (159, 21%), moderate along with cognitive impairment (127, 17%), and mild (350, 46%). Of the outcomes used in the cluster analysis, all were closely related except for cognitive impairment. Three (3%) of 113 patients in the very severe cluster, nine (7%) of 129 in the severe cluster, 36 (36%) of 99 in the moderate cluster, and 114 (43%) of 267 in the mild cluster reported feeling fully recovered. Persistently elevated serum C-reactive protein was positively associated with cluster severity.Interpretation We identified factors related to not recovering after hospital admission with COVID-19 at 6 months after discharge (eg, female sex, middle age, two or more comorbidities, and more acute severe illness), and four different recovery phenotypes. The severity of physical and mental health impairments were closely related, whereas cognitive health impairments w...

IntroductionPatient and public involvement in healthcare planning, service development and health-related research has received significant attention. However, evidence about the role of patient involvement in quality improvement work is more limited. We aimed to characterize patient involvement in three improvement projects and to identify strengths and weaknesses of contrasting approaches.MethodsThree case study quality improvement projects were purposively sampled from a broader programme. We used an ethnographic approach involving 126 in-depth interviews, 12 weeks of non-participant observations and documentary analysis. Data analysis was based on the constant comparative method.ResultsThe three projects differed in the ways they involved patients in their quality improvement work, including their rationales for including patients. We characterized three very different models of patient involvement, which were each influenced by project context. Patients played distinctive roles across the three projects, acting in some cases as intermediaries between the wider patient community and clinicians, and sometimes undertaking persuasive work to convince clinicians of the need for change. We identified specific strategies that can be used to help ensure that patient involvement works most effectively and that the enthusiasm of patients to make a difference is not dissipated.ConclusionPatient involvement in quality improvement work needs careful management to realize its full potential.

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Purpose: Approaches to quality improvement in healthcare based on clinical communities are founded in practitioner networks, peer influence and professional values. Evidence for the value of this approach, and how to make it effective, is spread across multiple disciplines. We review and synthesise relevant literature to provide practical lessons on how to use clinical community-based approaches to improve quality.Design/methodology/approach: Diverse literatures were identified, analysed and synthesised in a manner which accounted for the heterogeneity of methods, models and contexts they covered.Findings: A number of overlapping but distinct clinical community-based approaches can be identified in the literature, each suitable for different problems. The evidence for the effectiveness of these is mixed, but there is some agreement on the challenges that those adopting such approaches need to address, and how these can be surmounted. Practical implications:Key lessons include: the need for coordination and leadership alongside the lateral influence of peers; advantages of starting with a clear programme theory of change; the need for training and resources; dealing with conflict and marginalisation; fostering a sense of community; appropriate use of data in prompting behavioural change; the need for balance between 'hard' and 'soft' strategies; and the role of context. Originality/value: The paper brings together diverse literatures with important implications for community-based approaches to quality improvement, drawing on these to offer practical lessons for those engaged in improving healthcare quality in practice.3

In healthcare, translating evidence into changed practice remains challenging. Novel interventions are being used to address these challenges, including the use of 'knowledge brokers'. But how sustainable these roles might be, and the consequences for the individual of enacting such roles, are unknown. We explore these questions by drawing on qualitative data from case studies of full-time roles in research-practice collaboration. We suggest that structural issues around professional boundaries, organisational norms and career pathways may make such roles difficult to sustain in the long-term, but highlight interventions that might improve their feasibility.