The Medical Malpractice Landscape in Ontario: Facts, Trends and Analysis of Trials and Appeals
Notice bibliographique
Résumé
This study presents comprehensive analyzed data about medical malpractice trials and appeals in the Ontario civil court system over a 24-year period, from 1992 to 2016. The study looks at the trends in this population of cases with the hopes that there is, for medical malpractice litigants, some predictive value in at least knowing the facts. The study examined not only success rates for parties in these cases but also other trends such as which fundamental legal issues were pursued, how certain issues fared on appeal, the impact of juries, and legal cost trends. The study concludes by offering some insight into what trends occurred in those cases and how that information might inform future medical malpractice litigation decisions. Highlights of the data include: Medical malpractice cases comprise a tiny proportion of civil matters dealt with by Ontario courts – about 0.06% of all civil proceedings and about 0.6% of matters dealt with by the Court of Appeal for Ontario. Patients in Ontario were successful in about 30% of medical malpractice judge-alone trials during the study period, from 1992 to 2016. The Court of Appeal for Ontario heard roughly 5 medical malpractice appeals a year. These cases were most commonly non-jury cases involving a surgical or obstetrics injury to the patient. Issues about standard of care or causation predominated as the issue about which a party appealed the trial result. Patients were successful in less than one-quarter of appeals about informed consent negligence. Physician appellants were successful in having the Court of Appeal allow an appeal in 37% of physician-launched appeals. Patient appellants were successful in having the Court allow 12% of patient-launched appeals. Only 7 patient-launched appeals in the twenty-four year study period were allowed by the Court, and 5 of those appeals ordered a new trial. Physician respondents were successful in keeping a result at trial at least 88% of the time in the study period, while patient respondents were successful at least 63% of the time. More than half of the appeals were allowed due to a factual error at trial. When an appeal was allowed due to a legal error in patient-launched appeals, the issue typically involved a fundamental legal error like applying doctrine backwards. In healthcare provider-launched appeals, the legal error was more circumscribed and academic. Delay in diagnosis and treatment was a common argument in more than one-third of the physician-launched allowed appeals. The Court of Appeal did not hear many appeals from jury trials during the time period (14%). Patients who were unsuccessful on appeal were directly ordered to pay costs only one-third of the time. In 45% of the appeals brought by patients, the Court ordered costs “if demanded.” The median cost award was $25,000. Leave to Appeal to the Supreme Court of Canada was sought in one-quarter of the total population of medical malpractice appeals. Unsuccessful patients were almost twice as likely (40%) to seek Leave to Appeal than healthcare providers (26%) when they lost on appeal. Yet if a healthcare provider lost on appeal, the healthcare provider sought leave 86% of the time. Over the twenty-four year study period, the Supreme Court of Canada granted Leave to Appeal in only one case.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,028 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,010 | 0,019 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
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.
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 source (Gemma direct ou Codex distillé), 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 ».