Predicting Opioid Overdose Deaths Using Prescription Drug Monitoring Program Data.
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| Title: | Predicting Opioid Overdose Deaths Using Prescription Drug Monitoring Program Data. |
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| Authors: | 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. |
| Source: | American journal of preventive medicine [Am J Prev Med] 2019 Dec; Vol. 57 (6), pp. e211-e217. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.; Validation Study |
| Journal Info: | Publisher: Elsevier Science Country of Publication: Netherlands NLM ID: 8704773 Publication Model: Print Cited Medium: Internet ISSN: 1873-2607 (Electronic) Linking ISSN: 07493797 NLM ISO Abbreviation: Am J Prev Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 31753274 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting Opioid Overdose Deaths Using Prescription Drug Monitoring Program Data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Ferris+LM%22">Ferris LM</searchLink>; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; Chesapeake Regional Information System for our Patients, Baltimore, Maryland.<br /><searchLink fieldCode="AU" term="%22Saloner+B%22">Saloner B</searchLink>; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland. Electronic address: bsaloner@jhu.edu.<br /><searchLink fieldCode="AU" term="%22Krawczyk+N%22">Krawczyk N</searchLink>; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.<br /><searchLink fieldCode="AU" term="%22Schneider+KE%22">Schneider KE</searchLink>; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.<br /><searchLink fieldCode="AU" term="%22Jarman+MP%22">Jarman MP</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Jackson+K%22">Jackson K</searchLink>; Maryland Department of Health, Behavioral Health Administration, Office of PDMP and Overdose Prevention Applied Data Programs, Baltimore, Maryland.<br /><searchLink fieldCode="AU" term="%22Lyons+BC%22">Lyons BC</searchLink>; Maryland Department of Health, Behavioral Health Administration, Office of PDMP and Overdose Prevention Applied Data Programs, Baltimore, Maryland.<br /><searchLink fieldCode="AU" term="%22Eisenberg+MD%22">Eisenberg MD</searchLink>; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.<br /><searchLink fieldCode="AU" term="%22Richards+TM%22">Richards TM</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Lemke+KW%22">Lemke KW</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Weiner+JP%22">Weiner JP</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228704773%22">American journal of preventive medicine</searchLink> [Am J Prev Med] 2019 Dec; Vol. 57 (6), pp. e211-e217. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.; Validation Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Science%22">Elsevier Science </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>8704773 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1873-2607 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2207493797%22">07493797 </searchLink><i>NLM ISO Abbreviation: </i>Am J Prev Med <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=31753274 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.amepre.2019.07.026 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e211 Titles: – TitleFull: Predicting Opioid Overdose Deaths Using Prescription Drug Monitoring Program Data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ferris LM – PersonEntity: Name: NameFull: Saloner B – PersonEntity: Name: NameFull: Krawczyk N – PersonEntity: Name: NameFull: Schneider KE – PersonEntity: Name: NameFull: Jarman MP – PersonEntity: Name: NameFull: Jackson K – PersonEntity: Name: NameFull: Lyons BC – PersonEntity: Name: NameFull: Eisenberg MD – PersonEntity: Name: NameFull: Richards TM – PersonEntity: Name: NameFull: Lemke KW – PersonEntity: Name: NameFull: Weiner JP IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: 2019 Dec Type: published Y: 2019 Identifiers: – Type: issn-electronic Value: 1873-2607 Numbering: – Type: volume Value: 57 – Type: issue Value: 6 Titles: – TitleFull: American journal of preventive medicine Type: main |
| ResultId | 1 |
