(Taken from application abstract): Efforts at reducing health care costs have led to pressure on primary care physicians to be more judicious in the use of ancillary services, hospitalization, and referrals, thus increasing the need for effective diagnostic decision support. Obstetrician/gynecologists who now can be considered primary care providers are likely to feel this pressure even more intensely. This project will examine the impact of using QMR a diagnostic decision support system, on primary care obstetrician/ gynecologists' diagnostic skills. We will examine (1) the effect of using QMR on diagnostic accuracy and (2) the effects of QMR training and amount of QMR use on physicians' diagnostic performance and skill in using QMR. The project contains three highly interconnected investigational studies. Study I is a randomized controlled trial of the effect Of Using QMR on diagnostic accuracy. Subjects will be randomized into two groups, one that is trained on using QMR and uses it with their own patients for four months (Group 1). The other group will not have access to QMR during that time period (Group 2). Using a set of test cases, we will estimate the unaided diagnostic accuracy and will then compare the diagnostic accuracy of physicians using either QMR in addition to texts for decision support or using only traditional text sources of information. Study 2 is also a randomized controlled trial that will examine the effects of extensive QMR training compared with the usual way that QMR is distributed. Group I described above will receive extensive training and Group 2, who will receive QMR after the first four months and without special training, will be the usual distribution group. We will compare the diagnostic accuracy, as well as frequency of use, skill in using QMR and perceived usefulness of QMR between these two groups. In Study 3 we will examine whether the frequency of use of QMR in the clinical setting affects skill in using QMR perceived usefulness of QMR, and diagnostic accuracy in both groups.

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
Research Project (R01)
Project #
2R01LM005125-06
Application #
2399148
Study Section
Biomedical Library and Informatics Review Committee (BLR)
Project Start
1997-09-30
Project End
2000-08-31
Budget Start
1997-09-30
Budget End
1998-08-31
Support Year
6
Fiscal Year
1997
Total Cost
Indirect Cost
Name
University of Alabama Birmingham
Department
Type
Schools of Medicine
DUNS #
004514360
City
Birmingham
State
AL
Country
United States
Zip Code
35294
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Berner, E S; Maisiak, R S (1999) Influence of case and physician characteristics on perceptions of decision support systems. J Am Med Inform Assoc 6:428-34
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Berner, E S; Shugerman, A A (1991) Needs assessment for diagnostic decision support systems (DDSS). Proc Annu Symp Comput Appl Med Care :605-8