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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 OpenAlex
Russell Mannion, John Blenkinsopp, Martin Powell, Jean V. McHale, Ross Millar, Nicholas Snowden, Huw Davies

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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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,043
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Études des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,196
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0430,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,006
Études des sciences et des technologies0,0020,001
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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