Can Emergency Department, Hospital Discharge, and Death Data Be Used to Monitor Burden of Drug Overdose in Rhode Island?
Notice bibliographique
Résumé
CONTEXT: Drug overdoses are a growing public health problem in the United States. Rhode Island is also confronted with a serious epidemic of drug overdose deaths and ranks sixth worst in the United States for age-adjusted drug overdose death rate. OBJECTIVE: To monitor trends of drug overdose-related emergency department (ED) visits, hospitalizations, and deaths and classify the drug overdoses by demographics, discharge status, intent, and specific drug involved to plan for health care resource allocation, mental health services, drug abuse treatment, prevention, and policies. DESIGN: Cross-sectional study. SETTING: The 2005-2014 ED, hospital discharge, and death data were used for this study. MAIN OUTCOME MEASURE: Age-adjusted rates were calculated by using age-specific Rhode Island 2010 standard population. Healthcare Cost and Utilization Project cost-to-charge ratios were used to convert total hospital charges to costs. The descriptive analysis was performed. RESULTS: Hospitalizations generally represent the most severe cases; there are substantially fewer cases than are seen in the ED, and their characteristics are different from ED visits. More than half of the ED cases were an unintentional injury by drug overdose, but more than half of the hospital discharge data cases were a suicide/self-inflicted injury by drug overdose. There were typically much more females than males that result in a hospital admission. In Rhode Island, there were 249 drug overdose deaths in 2014. Drug overdose fatalities were more likely to be young, male, white, and those who reside in suburban regions. IMPLICATIONS: Nonfatal and fatal drug overdose data are important for understanding the scope, incidence, and breadth of this public health epidemic and can guide overdose intervention efforts. In Rhode Island, policy makers can use drug overdose data to target high-risk subpopulations to reduce overdose injuries and fatalities. The Rhode Island study can be shared with other states. CONCLUSIONS: Regardless of the type of drug, overdoses remain a public health crisis in Rhode Island. It is a dynamic epidemic and needs partnership among public health, behavioral health, public safety, clinic, pharmacy, and communities. The ability to track drug overdose in real time will be an essential tool to respond to the constantly evolving drug overdose epidemic in Rhode Island quickly and effectively.
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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 | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| 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 ».