Lindsey Ferris
Dados Biográficos
| ID | 5546112 |
|---|---|
| NOME | Lindsey Ferris |
| PRENOMES | Lindsey |
| SOBRENOME | Ferris |
| ASSINATURA | FERRIS L |
| AFILIAÇÕES | Department of Health Policy and Management |
| ORCID | 0000-0002-6025-2061 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2020 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2021 |
| ÍNDICE H | 0 |
Performance of a Predictive Model versus Prescription-Based Thresholds in Identifying Patients at Risk of Fatal Opioid Overdose
Background: Prescription Drug Monitoring Programs (PDMPs) collect controlled substance prescriptions dispensed within a state. Many PDMP programs perform targeted outreach (i.e., “unsolicited reporting”) for patients who exceed numerical thresholds, however, the degree to which patients at highest risk of fatal opioid overdose are identified has not been compared with one another or with a predictive model. Methods: A retrospective analysis was p…
The Impact of Various Risk Assessment Time Frames on the Performance of Opioid Overdose Forecasting Models
BACKGROUND: An individual's risk for future opioid overdoses is usually assessed using a 12-month "lookback" period. Given the potential urgency of acting rapidly, we compared the performance of alternative predictive models with risk information from the past 3, 6, 9, and 12 months. METHODS: We included 1,014,033 Maryland residents aged 18-80 with at least 1 opioid prescription and no recorded death in 2015. We used 2015 Maryland prescription dr…
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The Impact of Various Risk Assessment Time Frames on the Performance of Opioid Overdose Forecasting Models
BACKGROUND: An individual's risk for future opioid overdoses is usually assessed using a 12-month "lookback" period. Given the potential urgency of acting rapidly, we compared the performance of alternative predictive models with risk information from the past 3, 6, 9, and 12 months. METHODS: We included 1,014,033 Maryland residents aged 18-80 with at least 1 opioid prescription and no recorded death in 2015. We used 2015 Maryland prescription dr…
Performance of a Predictive Model versus Prescription-Based Thresholds in Identifying Patients at Risk of Fatal Opioid Overdose
Background: Prescription Drug Monitoring Programs (PDMPs) collect controlled substance prescriptions dispensed within a state. Many PDMP programs perform targeted outreach (i.e., “unsolicited reporting”) for patients who exceed numerical thresholds, however, the degree to which patients at highest risk of fatal opioid overdose are identified has not been compared with one another or with a predictive model. Methods: A retrospective analysis was p…
Drug overdose (2 obras) · Emergency Medicine (2 obras) · Internal Medicine (2 obras) · Logistic regression (2 obras) · Medical prescription (2 obras) · Medicine (2 obras) · Opioid (2 obras) · Opioid overdose (2 obras) · Opioid Use Disorder Treatment (2 obras) · Pharmacology (2 obras)