Your browser doesn't support javascript.
loading
Predicting Opioid Overdose Deaths Using Prescription Drug Monitoring Program Data.
Ferris, Lindsey M; Saloner, Brendan; Krawczyk, Noa; Schneider, Kristin E; Jarman, Molly P; Jackson, Kate; Lyons, B Casey; Eisenberg, Matthew D; Richards, Tom M; Lemke, Klaus W; Weiner, Jonathan P.
Afiliação
  • Ferris LM; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; Chesapeake Regional Information System for our Patients, Baltimore, Maryland.
  • Saloner B; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland. Electronic address: bsaloner@jhu.edu.
  • Krawczyk N; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
  • Schneider KE; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
  • Jarman MP; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; Center for Surgery and Public Health, Brigham and Women's Hospital, Boston, Massachusetts.
  • Jackson K; Maryland Department of Health, Behavioral Health Administration, Office of PDMP and Overdose Prevention Applied Data Programs, Baltimore, Maryland.
  • Lyons BC; Maryland Department of Health, Behavioral Health Administration, Office of PDMP and Overdose Prevention Applied Data Programs, Baltimore, Maryland.
  • Eisenberg MD; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
  • Richards TM; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; Johns Hopkins Center for Population Health Information Technology, Baltimore, Maryland.
  • Lemke KW; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; Johns Hopkins Center for Population Health Information Technology, Baltimore, Maryland.
  • Weiner JP; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; Johns Hopkins Center for Population Health Information Technology, Baltimore, Maryland.
Am J Prev Med ; 57(6): e211-e217, 2019 12.
Article em En | MEDLINE | ID: mdl-31753274
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Medicamentos sob Prescrição / Overdose de Drogas / Programas de Monitoramento de Prescrição de Medicamentos / Epidemia de Opioides / Analgésicos Opioides Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Revista: Am J Prev Med Assunto da revista: SAUDE PUBLICA Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Medicamentos sob Prescrição / Overdose de Drogas / Programas de Monitoramento de Prescrição de Medicamentos / Epidemia de Opioides / Analgésicos Opioides Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: America do norte Idioma: En Revista: Am J Prev Med Assunto da revista: SAUDE PUBLICA Ano de publicação: 2019 Tipo de documento: Article