Background: Medical errors in the testing process (ordering, tracking, documentation, patient notification and follow-up) are critical problems in primary care. However, little is known about the safe performance of the testing process, especially in the smaller, independent practices prevalent in America. Candidate: As a fellowship-trained family physician, experienced in qualitative research methods, I am committed to develop novel approaches to medical error reduction that are grounded in clinical reality and informed by a human factors engineering (HFE) theoretical perspective. Career goals: Via a structured program of courses, seminars, research collaborations and work on a specific project, I will learn HFE theory and methods, acquire a background in organizational change and strengthen my quantitative analysis skills. Research goal: Use HFE techniques to understand the primary care testing process, identify tasks that are critical to safety, and organize them within a human factors model to provide the basis for developing future quality improvements.
Specific Aims : 1) Identify critical safety gaps using a proposed Human Factors - Testing Process (HF-TP) Model, 2) Describe the flow of functions and tasks through a HFE study of family practice offices, 3) Revise and validate the HF-TP Model and identify functions critical to patient safety, 4) Identify barriers and promoters of future safety improvement interventions. Methods: 1) Classify existing testing process error reports within a validated human factors framework (Eindhoven) and apply the classifications to a conceptual HF-TP Model. 2) Perform a HFE task analyses at 4 diverse practices, using interviews, structured observations, surveys and review of documents to assess protocols and tasks, near misses and rrors, cognitive aids, physical environment, technology and patient input. 3) Apply the results from the HFE analysis to the HF-TP model to identify a subset of human factors categories that lead to frequent or high- risk error situations and perform additional HFE analyses at 8 - 10 practices to validate and expand the HF- TP model. 4) Conduct focus groups with participantsat the 8 - 10 practices to identify barriersand promoters of organizational change that could lead to improvements in the testing process. Benefit: The candidate will become an independent patient safety investigator,and will develop a robust human factors model of the testing process that will lead to novel approaches for effective error prevention and recovery.

Agency
National Institute of Health (NIH)
Institute
Agency for Healthcare Research and Quality (AHRQ)
Type
Clinical Investigator Award (CIA) (K08)
Project #
5K08HS013914-05
Application #
7665082
Study Section
HSR Health Care Research Training SS (HCRT)
Program Officer
Anderson, Kay
Project Start
2005-09-30
Project End
2011-03-31
Budget Start
2009-09-30
Budget End
2011-03-31
Support Year
5
Fiscal Year
2009
Total Cost
Indirect Cost
Name
University of Cincinnati
Department
Family Medicine
Type
Schools of Medicine
DUNS #
041064767
City
Cincinnati
State
OH
Country
United States
Zip Code
45221
Elder, Nancy C; Barney, Kelley (2012) ""But what does it mean for me?"" Primary care patients' communication preferences for test results notification. Jt Comm J Qual Patient Saf 38:168-76
Elder, Nancy C; McEwen, Timothy R; Flach, John et al. (2010) The management of test results in primary care: does an electronic medical record make a difference? Fam Med 42:327-33
Elder, N C; Brungs, S M; Nagy, M et al. (2008) Intensive care unit nurses'perceptions of safety after a highly specific safety intervention. Qual Saf Health Care 17:25-30