Errors on Death Certificates Requiring Amendments
Notice bibliographique
Résumé
The medical examiner's office in Broward County is responsible for determining the cause and manner of death in cases falling under its jurisdiction and issuing death certificates on these decedents. Amendments are occasionally required to correct misinformation on death certificates or within the autopsy reports. The purpose of this study was to investigate the major causes for the amendments and to develop strategies to avoid future errors. We found 128 cases from 2006 to 2007 that required amendments; 103 contained sufficient data in the file for further analysis. Over this time period, 3790 death certificates were issued over that same period, resulting in a 3.37% amendment rate. In this study, the cohort included both males and females with a ratio of 2:1. Their ages ranged from newborn to 103 years, with a mean age of 49 years. Of the 103 amended cases, amendments were made to the cause (n = 30) and often the manner (n = 21) of death listed on the death certificate; the remaining changes were limited to the autopsy report. The most common reasons for amendments included reception of delayed laboratory findings (35%), acquisition of additional medical history (22.5%), and typographic errors (15.5%). Typographic errors mainly occurred because of inaccuracies in the names originally provided to our office, the use of aliases by decedents, incorrect personal/demographic history, or various misspellings by funeral homes or medical examiner staff. The most significant reclassifications involved changing certified natural deaths to accidental overdoses and vice versa, based on toxicological analysis. Because of delays in specimen turnaround, these amendments often were made months after the original death certificate was issued. STAT urine drug screening has been helpful in reducing the number of amendments made, but certain drugs of significance are missed by rapid screens. Given that our office performed complete toxicological analysis on all cases over this period, it seems likely that we detected several overdoses that would have been missed if natural deaths were not routinely screened for potential toxins.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».