Evidence map›Paper›PMID 24064429›Full record

ArticleEvaluation & the health professions2014

Expanding assessments of translational research programs: supplementing metrics with value judgments.

Craig S Scott, Pamela R Nagasawa, Neil F Abernethy, Bonnie W Ramsey, Paul J Martin, Beth M Hacker, Havivah D Schwartz, Douglas M Brock, Lynn S Robins, Fred M Wolf and 2 more

Abstract read
In one paragraph

Article in Evaluation & the health professions, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Feasibility of common bibliometrics in evaluating translational science.Journal of clinical and translational science · 2017
    Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Craig S ScottDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, USA.
Pamela R Nagasawa
Neil F Abernethy
Bonnie W Ramsey
Paul J Martin
Beth M Hacker
Havivah D Schwartz
Douglas M Brock
Lynn S Robins
Fred M Wolf
Marie Carter-Dubois
Mary L Disis

Funding

Institute of Translational Health SciencesUL1TR000423 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$49.4M
Effects of Establishing focus in the Medical InterviewR01HS013172 · AHRQ · UNIVERSITY OF WASHINGTON · PI ROBINS, LYNNE S · 2002 to 2004
–
AHRQ HHS R01 HS013172NCATS NIH HHS UL1 TR000423NCATS NIH HHS UL1TR000423
6 · The paper itself

Abstract

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.

Indexed as

Data Interpretation, StatisticalHumansLogistic ModelsNorthwestern United StatesProgram EvaluationQuality Assurance, Health CareResearch Support as TopicTranslational Research, BiomedicalWorld Health OrganizationCTSA program evaluationhealth researchlogic modelstranslational scienceWHO evaluative elementsWHO Health Services Assessment Model

Identifiers

PMID24064429
PMCPMC4012871

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.