MétaCan
Menu
Retour à la cohorte
Enregistrement W2889461636 · doi:10.3310/hsdr06300

Understanding the knowledge gaps in whistleblowing and speaking up in health care: narrative reviews of the research literature and formal inquiries, a legal analysis and stakeholder interviews

2018· article· en· W2889461636 sur OpenAlexfundno aff
Russell Mannion, John Blenkinsopp, Martin Powell, Jean V. McHale, Ross Millar, Nicholas Snowden, Huw Davies

Notice bibliographique

RevueHealth Services and Delivery Research · 2018
Typearticle
Langueen
DomaineDecision Sciences
ThématiqueEthics in Business and Education
Établissements canadiensnon disponible
Organismes subventionnairesKillam TrustsHealth Services and Delivery Research ProgrammeNational Institute for Health and Care Research
Mots-clésPublic relationsStakeholderAgency (philosophy)Health careIncentivePolitical scienceSociologyLaw

Résumé

récupéré en direct d'OpenAlex

Background There is compelling evidence to suggest that some (or even many) NHS staff feel unable to speak up, and that even when they do, their organisation may respond inappropriately. Objectives The specific project objectives were (1) to explore the academic and grey literature on whistleblowing and related concepts, identifying the key theoretical frameworks that can inform an understanding of whistleblowing; (2) to synthesise the empirical evidence about the processes that facilitate or impede employees raising concerns; (3) to examine the legal framework(s) underpinning whistleblowing; (4) to distil the lessons for whistleblowing policies from the findings of Inquiries into failings of NHS care; (5) to ascertain the views of stakeholders about the development of whistleblowing policies; and (6) to develop practical guidance for future policy-making in this area. Methods The study comprised four distinct but interlocking strands: (1) a series of narrative literature reviews, (2) an analysis of the legal issues related to whistleblowing, (3) a review of formal Inquiries related to previous failings of NHS care and (4) interviews with key informants. Results Policy prescriptions often conceive the issue of raising concerns as a simple choice between deciding to ‘blow the whistle’ and remaining silent. Yet research suggests that health-care professionals may raise concerns internally within the organisation in more informal ways before utilising whistleblowing processes. Potential areas for development here include the oversight of whistleblowing from an independent agency; early-stage protection for whistleblowers; an examination of the role of incentives in encouraging whistleblowing; and improvements to criminal law to protect whistleblowers. Perhaps surprisingly, there is little discussion of, or recommendations concerning, whistleblowing across the previous NHS Inquiry reports. Limitations Although every effort was made to capture all relevant papers and documents in the various reviews using comprehensive search strategies, some may have been missed as indexing in this area is challenging. We interviewed only a small number of people in the key informant interviews, and our findings may have been different if we had included a larger sample or informants with different roles and responsibilities. Conclusions Current policy prescriptions that seek to develop better whistleblowing policies and nurture open reporting cultures are in need of more evidence. Although we set out a wide range of issues, it is beyond our remit to convert these concerns into specific recommendations: that is a process that needs to be led from elsewhere, and in partnership with the service. There is also still much to learn regarding this important area of health policy, and we have highlighted a number of important gaps in knowledge that are in need of more sustained research. Future work A key area for future research is to explore whistleblowing as an unfolding, situated and interactional process and not just a one-off act by an identifiable whistleblower. In particular, we need more evidence and insights into the tendency for senior managers not to hear, accept or act on concerns about care raised by employees. Funding The National Institute for Health Research Health Services and Delivery Research programme.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,127
score de la tête « metaresearch » (Gemma)0,243
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesIntégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,993
Score d'incertitude au seuil0,670

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,1270,243
Méta-épidémiologie (sens strict)0,0010,002
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,0110,012
Études des sciences et des technologies0,0090,023
Communication savante0,0160,024
Science ouverte0,0040,010
Intégrité de la recherche0,0070,007
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,671
Tête enseignante GPT0,554
Écart entre enseignants0,117 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeQualitatif
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations57
Publié2018
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueHealth Services and Delivery ResearchMême sujetEthics in Business and EducationTravaux en français237 207