Distrusting doctors’ evidence: a qualitative study of disability income support policy makers in Australia and Ontario, Canada
Notice bibliographique
Résumé
Objective The aim of the present study was to describe how policy makers (bureaucrats and politicians) in Australia and Ontario (Canada) perceive evidence provided by doctors to substantiate applications for disability income support (DIS) by their patients with mental illnesses. Because many mental illnesses (e.g. depression) lack diagnostic tests, their existence and effects are more difficult to demonstrate than most somatic illnesses. Methods Semi-structured interviews were conducted with 45 informants, all influential in the design of the assessment of DIS programs. The informants were subcategorised into advocates, legal representatives, doctors (general practitioners (GPs) and specialists (e.g. psychiatrists)), policy insiders and researchers. Informants were found through snowball sampling. Following the principles of grounded theory, data collection and analysis occurred in tandem. Results Informants expressed some scepticism about doctors' evidence. Informants perceived that doctors could, due to lack of diagnostic certainty, 'write these things [evidence] however [they] want to'. Psychiatrists, perceived as having more time and skills, were considered as providing more trustworthy evidence than GPs. Conclusion Doctors, providing evidence to support applications, play an important role in determining disability. However, policy makers perceive doctors' evidence about mental illnesses as less trustworthy than evidence about somatic illnesses. This affects decisions by government adjudicators. What is known about the topic? Doctors (GPs and psychiatrists) are often asked to provide evidence to substantiate a DIS application for those with mental illnesses. We know little about the perception of this evidence by the policy makers who consider these applications. What does this paper add? Policy makers distrust doctors' evidence in relation to mental illnesses. This is partly because many mental illnesses lack diagnostic proof, in contrast with evidence for somatic conditions, where the disability is often visible and proven through diagnostic tests. Furthermore, GPs' evidence is considered less trustworthy than that of psychiatrists. What are the implications for practitioners? Although doctors' evidence is often required, the utility of their evidence is limited by policy makers' perceptions.
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 distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».