Literature DB >> 26243147

A Novel Approach to Measuring Efficiency of Scientific Research Projects: Data Envelopment Analysis.

David M Dilts1, Adrienne Zell2, Eric Orwoll3.   

Abstract

PURPOSE: Measuring the efficiency of resource allocation for the conduct of scientific projects in medical research is difficult due to, among other factors, the heterogeneity of resources supplied (e.g., dollars or FTEs) and outcomes expected (e.g., grants, publications). While this is an issue in medical science, it has been approached successfully in other fields by using data envelopment analysis (DEA). DEA has a number of advantages over other techniques as it simultaneously uses multiple heterogeneous inputs and outputs to determine which projects are performing most efficiently, referred to as being at the efficiency frontier, when compared to others in the data set.
METHOD: This research uses DEA for the evaluation of supported translational science projects by the Oregon Clinical and Translational Research Institute (OCTRI), a NCATS Clinical & Translational Science Award (CTSA) recipient.
RESULTS: These results suggest that the primary determinate of overall project efficiency at OCTRI is the amount of funding, with smaller amounts of funding providing more efficiency than larger funding amounts.
CONCLUSION: These results, and the use of DEA, highlight both the success of using this technique in helping determine medical research efficiency and those factors to consider when distributing funds for new projects at CTSAs.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  cost-benefit analysis; methodology; statistics

Mesh:

Year:  2015        PMID: 26243147      PMCID: PMC4626331          DOI: 10.1111/cts.12303

Source DB:  PubMed          Journal:  Clin Transl Sci        ISSN: 1752-8054            Impact factor:   4.689


  4 in total

1.  Scope and scale inefficiencies in physician practices.

Authors:  Robert Rosenman; Daniel Friesner
Journal:  Health Econ       Date:  2004-11       Impact factor: 3.046

2.  A multiple stage approach for performance improvement of primary healthcare practice.

Authors:  Martha T Ramírez-Valdivia; Sergio Maturana; Sonia Salvo-Garrido
Journal:  J Med Syst       Date:  2010-03-10       Impact factor: 4.460

3.  Performance evaluation in home and community care.

Authors:  Julie Polisena; Audrey Laporte; Peter C Coyte; Ruth Croxford
Journal:  J Med Syst       Date:  2010-06       Impact factor: 4.460

4.  Relative efficiency in rural primary health care: an application of data envelopment analysis.

Authors:  Y G Huang; C P McLaughlin
Journal:  Health Serv Res       Date:  1989-06       Impact factor: 3.402

  4 in total
  3 in total

1.  Evaluating a CTSA-funded pilot grant program.

Authors:  Kalene Morozumi; Tanha Patel; Paul Kerr; Mary Beth Cassely; Timothy Carey; John Buse; Andrea Carnegie; Tom Egan; Gaurav Dave
Journal:  J Clin Transl Sci       Date:  2020-11-16

2.  Using the payback framework to evaluate the outcomes of pilot projects supported by the Georgia Clinical and Translational Science Alliance.

Authors:  Latrice Rollins; Nicole Llewellyn; Manzi Ngaiza; Eric Nehl; Dorothy R Carter; Jeff M Sands
Journal:  J Clin Transl Sci       Date:  2020-09-11

3.  Health-system-adapted data envelopment analysis for decision-making in universal health coverage.

Authors:  Mark G Shrime; Swagoto Mukhopadhyay; Blake C Alkire
Journal:  Bull World Health Organ       Date:  2018-04-23       Impact factor: 9.408

  3 in total

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