Informing the development of a scoring system for National Health Service Clinical Impact Awards; a Delphi process and simulated scoring exercise.

health policy medical careers medical management non-clinical other medical management professional conduct and regulation

Journal

JRSM open
ISSN: 2054-2704
Titre abrégé: JRSM Open
Pays: England
ID NLM: 101625786

Informations de publication

Date de publication:
Jan 2024
Historique:
medline: 17 1 2024
pubmed: 17 1 2024
entrez: 17 1 2024
Statut: epublish

Résumé

To establish principles informing a new scoring system for the UK's Clinical Impact Awards and pilot a system based on those principles. A three-round online Delphi process was used to generate consensus from experts on principles a scoring system should follow. We conducted a shadow scoring exercise of 20 anonymised, historic applications using a new scoring system incorporating those principles. Assessment of clinical excellence awards for senior doctors and dentists in England and Wales. The Delphi panel comprised 45 members including clinical excellence award assessors and representatives of professional bodies. The shadow scoring exercise was completed by 24 current clinical excellence award assessors. The Delphi panel rated the appropriateness of a series of items. In the shadow scoring exercise, a novel scoring system was used with each of five domains rated on a 0-10 scale. Consensus was achieved around principles that could underpin a future scoring system; in particular, a 0-10 scale with the lowest point on the scale reflecting someone operating below the expectations of their job plan was agreed as appropriate. The shadow scoring exercise showed similar levels of reliability between the novel scoring system and that used historically, but with potentially better distinguishing performance at higher levels of performance. Clinical excellence awards represent substantial public spending and thus far the deployment of these funds has lacked a strong evidence base. We have developed a new scoring system in a robust manner which shows improvements over current arrangements.

Identifiants

pubmed: 38229596
doi: 10.1177/20542704231217887
pii: 10.1177_20542704231217887
pmc: PMC10790597
doi:

Types de publication

Journal Article

Langues

eng

Pagination

20542704231217887

Informations de copyright

© 2024 The Author(s).

Auteurs

Gary Abel (G)

University of Exeter Collaboration for Academic Primary Care (APEx), University of Exeter Medical School, Exeter, UK.

Rob Froud (R)

Clinvivo, Edenbridge, Kent, UK.

Emma Pitchforth (E)

University of Exeter Collaboration for Academic Primary Care (APEx), University of Exeter Medical School, Exeter, UK.

Bethan Treadgold (B)

University of Exeter Collaboration for Academic Primary Care (APEx), University of Exeter Medical School, Exeter, UK.

Lucy Hocking (L)

RAND Europe, Cambridge, UK.

Jon Sussex (J)

RAND Europe, Cambridge, UK.

Marc Elliott (M)

RAND Corporation, Santa Monica, CA, USA.

John Campbell (J)

University of Exeter Collaboration for Academic Primary Care (APEx), University of Exeter Medical School, Exeter, UK.

Classifications MeSH