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2022 ◽  
pp. 017084062210741
Author(s):  
Tomas Farchi ◽  
Sue Dopson ◽  
Ewan Ferlie

Although a body of research suggests that interprofessional collaboration is hindered by the presence of professional boundaries, more recent work has demonstrated that removing these boundaries also has negative consequences for collaboration. To address these paradoxical findings, we examine two different team-level initiatives that aimed at softening and breaking down professional boundaries, drawing on data gathered from 78 in-depth interviews and two years of observations of four cross-occupational teams in the English National Health Service. Our inductive analysis of this data shows that professionals use boundaries and their manifestations —which become apparent through materialization, articulation, and embodiment— to identify and retrieve professional categories. The conspicuous presence of boundaries allows professionals to anticipate other team members’ expertise and roles, as well as different aspects of team tasks. We theorize our findings by showing how professional boundaries can be positively interlaced with interprofessional collaboration by making visible and grounding naturalized systems of classification.


BMJ Open ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. e049235
Author(s):  
Jonathan Clarke ◽  
Kelsey Flott ◽  
Roberto Fernandez Crespo ◽  
Hutan Ashrafian ◽  
Gianluca Fontana ◽  
...  

ObjectivesTo determine the safety and effectiveness of home oximetry monitoring pathways for patients with COVID-19 in the English National Health Service.DesignRetrospective, multisite, observational study of home oximetry monitoring for patients with suspected or proven COVID-19.SettingThis study analysed patient data from four COVID-19 home oximetry pilot sites in England across primary and secondary care settings.ParticipantsA total of 1338 participants were enrolled in a home oximetry programme across four pilot sites. Participants were excluded if primary care data and oxygen saturations at rest at enrolment were not available. Data from 908 participants were included in the analysis.InterventionsHome oximetry monitoring was provided to participants with a known or suspected diagnosis of COVID-19. Participants were enrolled following attendance to emergency departments, hospital admission or referral through primary care services.ResultsOf 908 patients enrolled into four different COVID-19 home oximetry programmes in England, 771 (84.9%) had oxygen saturations at rest of 95% or more, and 320 (35.2%) were under 65 years of age and without comorbidities. 52 (5.7%) presented to hospital and 28 (3.1%) died following enrolment, of which 14 (50%) had COVID-19 as a named cause of death. All-cause mortality was significantly higher in patients enrolled after admission to hospital (OR 8.70 (2.53–29.89)), compared with those enrolled in primary care. Patients enrolled after hospital discharge (OR 0.31 (0.15–0.68)) or emergency department presentation (OR 0.42 (0.20–0.89)) were significantly less likely to present to hospital than those enrolled in primary care.ConclusionsThis study finds that home oximetry monitoring can be a safe pathway for patients with COVID-19; and indicates increases in risk to vulnerable groups and patients with oxygen saturations <95% at enrolment, and in those enrolled on discharge from hospital. Findings from this evaluation have contributed to the national implementation of home oximetry across England.


BJPsych Open ◽  
2021 ◽  
Vol 7 (4) ◽  
Author(s):  
David P. J. Osborn ◽  
Graziella Favarato ◽  
Danielle Lamb ◽  
Terri Harper ◽  
Sonia Johnson ◽  
...  

Background In the UK, acute mental healthcare is provided by in-patient wards and crisis resolution teams. Readmission to acute care following discharge is common. Acute day units (ADUs) are also provided in some areas. Aims To assess predictors of readmission to acute mental healthcare following discharge in England, including availability of ADUs. Method We enrolled a national cohort of adults discharged from acute mental healthcare in the English National Health Service (NHS) between 2013 and 2015, determined the risk of readmission to either in-patient or crisis teams, and used multivariable, multilevel logistic models to evaluate predictors of readmission. Results Of a total of 231 998 eligible individuals discharged from acute mental healthcare, 49 547 (21.4%) were readmitted within 6 months, with a median time to readmission of 34 days (interquartile range 10–88 days). Most variation in readmission (98%) was attributable to individual patient-level rather than provider (trust)-level effects (2.0%). Risk of readmission was not associated with local availability of ADUs (adjusted odds ratio 0.96, 95% CI 0.80–1.15). Statistically significant elevated risks were identified for participants who were female, older, single, from Black or mixed ethnic groups, or from more deprived areas. Clinical predictors included shorter index admission, psychosis and being an in-patient at baseline. Conclusions Relapse and readmission to acute mental healthcare are common following discharge and occur early. Readmission was not influenced significantly by trust-level variables including availability of ADUs. More support for relapse prevention and symptom management may be required following discharge from acute mental healthcare.


2021 ◽  
Vol 43 (2) ◽  
pp. 441-458
Author(s):  
Iestyn Williams ◽  
Jenny Harlock ◽  
Glenn Robert ◽  
John Kimberly ◽  
Russell Mannion

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