Identifying Latent Subgroups of High-Risk Patients Using Risk Score Trajectories.
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| Title: | Identifying Latent Subgroups of High-Risk Patients Using Risk Score Trajectories. |
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| Authors: | Wong ES; Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, 1660 S. Columbian Way, HSR&D MS S-152, Seattle, WA, 98108, USA. eswong@uw.edu.; Department of Health Services, University of Washington, Seattle, WA, USA. eswong@uw.edu., Yoon J; Health Economics Resource Center, VA Palo Alto Healthcare System, Livermore, CA, USA.; Department of General Internal Medicine, UCSF School of Medicine, San Francisco, CA, USA., Piegari RI; Office of Clinical Systems Development and Evaluation, Veterans Health Administration, Seattle, WA, USA., Rosland AM; Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA.; Department of Internal Medicine, University of Pittsburgh, Pittsburgh, PA, USA., Fihn SD; Office of Clinical Systems Development and Evaluation, Veterans Health Administration, Seattle, WA, USA.; Department of Medicine, University of Washington, Seattle, WA, USA., Chang ET; Center for the Study of Healthcare Innovation, Implementation and Policy, VA Greater Los Angeles Health Care System, Los Angeles, CA, USA.; David Geffen School of Medicine, University of California, Los Angeles, CA, USA. |
| Source: | Journal of general internal medicine [J Gen Intern Med] 2018 Dec; Vol. 33 (12), pp. 2120-2126. Date of Electronic Publication: 2018 Sep 17. |
| Publication Type: | Journal Article; Observational Study; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: Springer Country of Publication: United States NLM ID: 8605834 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1525-1497 (Electronic) Linking ISSN: 08848734 NLM ISO Abbreviation: J Gen Intern Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 30225769 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Identifying Latent Subgroups of High-Risk Patients Using Risk Score Trajectories. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Wong+ES%22">Wong ES</searchLink>; Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System, 1660 S. Columbian Way, HSR&D MS S-152, Seattle, WA, 98108, USA. eswong@uw.edu.; Department of Health Services, University of Washington, Seattle, WA, USA. eswong@uw.edu.<br /><searchLink fieldCode="AU" term="%22Yoon+J%22">Yoon J</searchLink>; Health Economics Resource Center, VA Palo Alto Healthcare System, Livermore, CA, USA.; Department of General Internal Medicine, UCSF School of Medicine, San Francisco, CA, USA.<br /><searchLink fieldCode="AU" term="%22Piegari+RI%22">Piegari RI</searchLink>; Office of Clinical Systems Development and Evaluation, Veterans Health Administration, Seattle, WA, USA.<br /><searchLink fieldCode="AU" term="%22Rosland+AM%22">Rosland AM</searchLink>; Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA.; Department of Internal Medicine, University of Pittsburgh, Pittsburgh, PA, USA.<br /><searchLink fieldCode="AU" term="%22Fihn+SD%22">Fihn SD</searchLink>; Office of Clinical Systems Development and Evaluation, Veterans Health Administration, Seattle, WA, USA.; Department of Medicine, University of Washington, Seattle, WA, USA.<br /><searchLink fieldCode="AU" term="%22Chang+ET%22">Chang ET</searchLink>; Center for the Study of Healthcare Innovation, Implementation and Policy, VA Greater Los Angeles Health Care System, Los Angeles, CA, USA.; David Geffen School of Medicine, University of California, Los Angeles, CA, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228605834%22">Journal of general internal medicine</searchLink> [J Gen Intern Med] 2018 Dec; Vol. 33 (12), pp. 2120-2126. <i>Date of Electronic Publication: </i>2018 Sep 17. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Observational Study; Research Support, U.S. Gov't, Non-P.H.S. – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8605834 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1525-1497 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2208848734%22">08848734 </searchLink><i>NLM ISO Abbreviation: </i>J Gen Intern Med <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=30225769 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11606-018-4653-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 2120 Titles: – TitleFull: Identifying Latent Subgroups of High-Risk Patients Using Risk Score Trajectories. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wong ES – PersonEntity: Name: NameFull: Yoon J – PersonEntity: Name: NameFull: Piegari RI – PersonEntity: Name: NameFull: Rosland AM – PersonEntity: Name: NameFull: Fihn SD – PersonEntity: Name: NameFull: Chang ET IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: 2018 Dec Type: published Y: 2018 Identifiers: – Type: issn-electronic Value: 1525-1497 Numbering: – Type: volume Value: 33 – Type: issue Value: 12 Titles: – TitleFull: Journal of general internal medicine Type: main |
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