A Narrative Review and Proposed Framework for Using Health System Data with Systematic Reviews to Support Decision-making.

health system data learning health system(s) systematic review(s) unpublished data

Journal

Journal of general internal medicine
ISSN: 1525-1497
Titre abrégé: J Gen Intern Med
Pays: United States
ID NLM: 8605834

Informations de publication

Date de publication:
06 2020
Historique:
received: 05 08 2019
accepted: 06 03 2020
pubmed: 3 4 2020
medline: 15 5 2021
entrez: 3 4 2020
Statut: ppublish

Résumé

Systematic reviews are a necessary, but often insufficient, source of information to address the decision-making needs of health systems. In this paper, we address when and how the use of health system data might make systematic reviews more useful to decision-makers. We describe the different ways in which health system data can be used with systematic reviews, identify scenarios in which the addition of health system data may be most helpful (i.e., to improve the strength of evidence, to improve the applicability of evidence, and to inform the implementation of evidence), and discuss the importance of framing the limitations and considerations when using unpublished health system data in reviews. We developed a framework to guide the use of health system data alongside systematic reviews based on a narrative review of the literature and empirical experience. We also offer recommendations to improve the transparency of reporting when using health system data alongside systematic reviews including providing rationale for employing additional data, details on the data source, critical appraisal to understand study design biases as well as limitations in data and information quality, and how the unpublished data compares to the systematically reviewed data. Future methodological work on how best to handle internal and external validity concerns of health system data in the context of systematically reviewed data and work on developing infrastructure to do this type of work is needed.

Identifiants

pubmed: 32239462
doi: 10.1007/s11606-020-05783-5
pii: 10.1007/s11606-020-05783-5
pmc: PMC7280421
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S. Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

1830-1835

Subventions

Organisme : AHRQ HHS
ID : 290-3200-1T-05
Pays : United States
Organisme : AHRQ HHS
ID : 290-2015-00005-I
Pays : United States
Organisme : AHRQ HHS
ID : K12 HS026370
Pays : United States
Organisme : AHRQ HHS
ID : HHSA 290-2015-00007-I
Pays : United States
Organisme : AHRQ HHS
ID : 290-2015-00009-I
Pays : United States

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Auteurs

Jennifer S Lin (JS)

Kaiser Permanente Research Affiliates Evidence-based Practice Center, Portland, OR, USA. Jennifer.s.lin@kpchr.org.
The Center for Health Research, Kaiser Permanente Northwest, Portland, OR, USA. Jennifer.s.lin@kpchr.org.

M Hassan Murad (MH)

Mayo Clinic Evidence-based Practice Center, Rochester, MN, USA.

Brian Leas (B)

ECRI Institute-Penn Medicine Evidence-based Practice Center, Plymouth Meeting, PA, USA.

Jonathan R Treadwell (JR)

ECRI Institute-Penn Medicine Evidence-based Practice Center, Plymouth Meeting, PA, USA.

Roger Chou (R)

Pacific Northwest Evidence-based Practice Center, Portland, OR, USA.

Ilya Ivlev (I)

Kaiser Permanente Research Affiliates Evidence-based Practice Center, Portland, OR, USA.

Devan Kansagara (D)

Veterans Health Administration Health Services Research Department Evidence Synthesis Program, Portland, OR, USA.

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