View in EDS HTML Full Text PDF Full Text

An Update to the Kaiser Permanente Inpatient Risk Adjustment Methodology Accurately Predicts In-Hospital Mortality: a Retrospective Cohort Study.

Saved in:
Bibliographic Details
Title: An Update to the Kaiser Permanente Inpatient Risk Adjustment Methodology Accurately Predicts In-Hospital Mortality: a Retrospective Cohort Study.
Authors: Roberts SB; Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada. surain.roberts@unityhealth.to., Colacci M; Department of Medicine, University of Toronto, Toronto, ON, Canada., Razak F; Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada.; Department of Medicine, University of Toronto, Toronto, ON, Canada.; Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada., Verma AA; Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada.; Department of Medicine, University of Toronto, Toronto, ON, Canada.; Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada.
Source: Journal of general internal medicine [J Gen Intern Med] 2023 Nov; Vol. 38 (15), pp. 3303-3312. Date of Electronic Publication: 2023 Jun 09.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
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
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 37296357
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: An Update to the Kaiser Permanente Inpatient Risk Adjustment Methodology Accurately Predicts In-Hospital Mortality: a Retrospective Cohort Study.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Roberts+SB%22">Roberts SB</searchLink>; Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada. surain.roberts@unityhealth.to.<br /><searchLink fieldCode="AU" term="%22Colacci+M%22">Colacci M</searchLink>; Department of Medicine, University of Toronto, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Razak+F%22">Razak F</searchLink>; Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada.; Department of Medicine, University of Toronto, Toronto, ON, Canada.; Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Verma+AA%22">Verma AA</searchLink>; Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON, Canada.; Department of Medicine, University of Toronto, Toronto, ON, Canada.; Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%228605834%22">Journal of general internal medicine</searchLink> [J Gen Intern Med] 2023 Nov; Vol. 38 (15), pp. 3303-3312. <i>Date of Electronic Publication: </i>2023 Jun 09.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, Non-U.S. Gov't
– 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=37296357
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11606-023-08245-w
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 3303
    Titles:
      – TitleFull: An Update to the Kaiser Permanente Inpatient Risk Adjustment Methodology Accurately Predicts In-Hospital Mortality: a Retrospective Cohort Study.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Roberts SB
      – PersonEntity:
          Name:
            NameFull: Colacci M
      – PersonEntity:
          Name:
            NameFull: Razak F
      – PersonEntity:
          Name:
            NameFull: Verma AA
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: 2023 Nov
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-electronic
              Value: 1525-1497
          Numbering:
            – Type: volume
              Value: 38
            – Type: issue
              Value: 15
          Titles:
            – TitleFull: Journal of general internal medicine
              Type: main
ResultId 1