Expanding Assessments of Translational Research Programs: Supplementing Metrics With Value Judgments

The University of Washington (UW) Institute for Translational Health Sciences (ITHS), funded by a Clinical and Translational Sciences Award program, has supplemented its initial Kellogg Logic Model–based program evaluation with the eight judgment-based evaluative elements of the World Health Organiz...

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Bibliographic Details
Published in:Evaluation & the health professions 2014-03, Vol.37 (1), p.83-97
Main Authors: Scott, Craig S., Nagasawa, Pamela R., Abernethy, Neil F., Ramsey, Bonnie W., Martin, Paul J., Hacker, Beth M., Schwartz, Havivah D., Brock, Douglas M., Robins, Lynn S., Wolf, Fred M., Carter-Dubois, Marie, Disis, Mary L.
Format: Article
Language:English
Subjects:
Assessment
Clinical assessment
Data Interpretation, Statistical
Health administration
Health sciences
Health services
Health technology assessment
Humans
Judgment
Logistic Models
Medical research
Northwestern United States
Program Evaluation - methods
Program Evaluation - standards
Quality Assurance, Health Care - methods
Quality Assurance, Health Care - standards
Research Support as Topic
Translational Medical Research - methods
Translational Medical Research - standards
Value judgments
World Health Organization
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Summary:The University of Washington (UW) Institute for Translational Health Sciences (ITHS), funded by a Clinical and Translational Sciences Award program, has supplemented its initial Kellogg Logic Model–based program evaluation with the eight judgment-based evaluative elements of the World Health Organization’s (WHO) Health Services Assessment Model. This article describes the relationship between the two models, the rationale for the decision to supplement the evaluation with WHO evaluative elements, the value-added results of the WHO evaluative elements, and plans for further developing the WHO assessments.
ISSN:0163-2787
1552-3918
DOI:10.1177/0163278713500984