Measuring quality and outcomes of research collaborations: An integrative review.

Team science instrument development measures outcome measure psychometrics research collaboration research evaluation research process measure scientific collaboration teamwork

Journal

Journal of clinical and translational science
ISSN: 2059-8661
Titre abrégé: J Clin Transl Sci
Pays: England
ID NLM: 101689953

Informations de publication

Date de publication:
Oct 2019
Historique:
received: 05 06 2019
revised: 25 07 2019
accepted: 26 07 2019
entrez: 30 10 2019
pubmed: 30 10 2019
medline: 30 10 2019
Statut: epublish

Résumé

Although the science of team science is no longer a new field, the measurement of team science and its standardization remain in relatively early stages of development. To describe the current state of team science assessment, we conducted an integrative review of measures of research collaboration quality and outcomes. Collaboration measures were identified using both a literature review based on specific keywords and an environmental scan. Raters abstracted details about the measures using a standard tool. Measures related to collaborations with clinical care, education, and program delivery were excluded from this review. We identified 44 measures of research collaboration quality, which included 35 measures with reliability and some form of statistical validity reported. Most scales focused on group dynamics. We identified 89 measures of research collaboration outcomes; 16 had reliability and 15 had a validity statistic. Outcome measures often only included simple counts of products; publications rarely defined how counts were delimited, obtained, or assessed for reliability. Most measures were tested in only one venue. Although models of collaboration have been developed, in general, strong, reliable, and valid measurements of such collaborations have not been conducted or accepted into practice. This limitation makes it difficult to compare the characteristics and impacts of research teams across studies or to identify the most important areas for intervention. To advance the science of team science, we provide recommendations regarding the development and psychometric testing of measures of collaboration quality and outcomes that can be replicated and broadly applied across studies.

Identifiants

pubmed: 31660251
doi: 10.1017/cts.2019.402
pii: 00402
pmc: PMC6813516
doi:

Types de publication

Journal Article

Langues

eng

Pagination

261-289

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR003096
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002548
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001866
Pays : United States
Organisme : NIGMS NIH HHS
ID : P20 GM130423
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002389
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001417
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002366
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002377
Pays : United States
Organisme : NCATS NIH HHS
ID : U24 TR002260
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001449
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002489
Pays : United States

Informations de copyright

© The Association for Clinical and Translational Science 2019.

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Auteurs

Beth B Tigges (BB)

University of New Mexico, College of Nursing, Albuquerque, NM, USA.

Doriane Miller (D)

Department of Internal Medicine, University of Chicago Hospitals, Chicago, IL, USA.

Katherine M Dudding (KM)

Department of Family, Community and Health Systems, University of Arizona, College of Nursing, Tucson, AZ, USA.

Joyce E Balls-Berry (JE)

Division of Epidemiology, Mayo Clinic, Rochester, MN, USA.

Elaine A Borawski (EA)

Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH, USA.

Gaurav Dave (G)

Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Nathaniel S Hafer (NS)

Center for Clinical and Translational Science, University of Massachusetts Medical School, Worcester, MA, USA.

Kim S Kimminau (KS)

University of Kansas Medical Center, Family Medicine and Community Health, Kansas City, KS, USA.

Rhonda G Kost (RG)

The Rockefeller University, Clinical Research Support Office, New York, NY, USA.

Kimberly Littlefield (K)

University of North Carolina-Greensboro, Office of Research and Engagement, Greensboro, NC, USA.

Jackilen Shannon (J)

Oregon Health and Sciences University, OHSU-PSU School of Public Health, Portland, OR, USA.

Usha Menon (U)

University of South Florida College of Nursing, Tampa, FL, USA.

Classifications MeSH