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Safety implications of remote assessments for suspected COVID-19: qualitative study in UK primary care.
Wieringa, Sietse; Neves, Ana Luisa; Rushforth, Alexander; Ladds, Emma; Husain, Laiba; Finlay, Teresa; Pope, Catherine; Greenhalgh, Trisha.
  • Wieringa S; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK sietse.wieringa@phc.ox.ac.uk.
  • Neves AL; Centre for Health Policy, Institute of Global Health Innovation, Imperial College London, London, UK.
  • Rushforth A; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Ladds E; CWTS, University of Leiden, Leiden, The Netherlands.
  • Husain L; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Finlay T; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Pope C; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Greenhalgh T; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
BMJ Qual Saf ; 2022 Mar 08.
Article in English | MEDLINE | ID: covidwho-1736078
ABSTRACT

BACKGROUND:

The introduction of remote triage and assessment early in the pandemic raised questions about patient safety. We sought to capture patients and clinicians' experiences of the management of suspected acute COVID-19 and generate wider lessons to inform safer care. SETTING AND SAMPLE UK primary healthcare. A subset of relevant data was drawn from five linked in-pandemic qualitative studies. The data set, on a total of 87 participants recruited via social media, patient groups and snowballing, comprised free text excerpts from narrative interviews (10 survivors of acute COVID-19), online focus groups (20 patients and 30 clinicians), contributions to a Delphi panel (12 clinicians) and fieldnotes from an online workshop (15 patients, clinicians and stakeholders).

METHODS:

Data were uploaded onto NVivo. Coding was initially deductive and informed by WHO and Institute of Medicine frameworks of quality and safety. Further inductive analysis refined our theorisation using a wider range of theories-including those of risk, resilience, crisis management and social justice.

RESULTS:

In the early weeks of the pandemic, patient safety was compromised by the driving logic of 'stay home' and 'protect the NHS', in which both patients and clinicians were encouraged to act in a way that helped reduce pressure on an overloaded system facing a novel pathogen with insufficient staff, tools, processes and systems. Furthermore, patients and clinicians observed a shift to a more transactional approach characterised by overuse of algorithms and decision support tools, limited empathy and lack of holistic assessment.

CONCLUSION:

Lessons from the pandemic suggest three key strategies are needed to prevent avoidable deaths and inequalities in the next crisis (1) strengthen system resilience (including improved resourcing and staffing; support of new tools and processes; and recognising primary care's role as the 'risk sink' of the healthcare system); (2) develop evidence-based triage and scoring systems; and (3) address social vulnerability.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Qualitative research / Randomized controlled trials / Reviews Language: English Year: 2022 Document Type: Article Affiliation country: Bmjqs-2021-013305

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study / Qualitative research / Randomized controlled trials / Reviews Language: English Year: 2022 Document Type: Article Affiliation country: Bmjqs-2021-013305