"salt in the Wound": Safety net clinician perspectives on performance feedback derived from EHR data

Journal of Ambulatory Care Management

Volumn 40, Issue 1, 2017, Pages 26-35

  Bunce, Arwen E ^a   Gold, Rachel ^a,b   Davis, James V ^a   Mercer, Mary Beth ^c   Jaworski, Victoria ^d   Hollombe, Celine ^a   Nelson, Christine ^b  

^a CENTER FOR HEALTH RESEARCH   (United States)

^b OCHIN Inc   (United States)

^c Memorial Health   (United States)

^d MULTNOMAH COUNTY HEALTH DEPARTMENT   (United States)

Author keywords

algorithms; attitude of health personnel; community health centers; electronic health records; feedback; qualitative research; quality improvement; safety net providers

Indexed keywords

HYDROXYMETHYLGLUTARYL COENZYME A REDUCTASE INHIBITOR;

CARDIOVASCULAR DISEASE; DIABETIC COMPLICATION; ELECTRONIC HEALTH RECORD; EVIDENCE BASED PRACTICE; FEEDBACK SYSTEM; HEALTH CENTER; HEALTH PERSONNEL ATTITUDE; HUMAN; MANPOWER; ORGANIZATION AND MANAGEMENT; PATIENT SATISFACTION; PROCEDURES; PROTOCOL COMPLIANCE; QUALITATIVE RESEARCH; SAFETY NET HOSPITAL; STANDARDS; STATISTICS AND NUMERICAL DATA; UTILIZATION;

ATTITUDE OF HEALTH PERSONNEL; CARDIOVASCULAR DISEASES; COMMUNITY HEALTH CENTERS; DIABETES COMPLICATIONS; ELECTRONIC HEALTH RECORDS; EVIDENCE-BASED PRACTICE; FEEDBACK; GUIDELINE ADHERENCE; HUMANS; HYDROXYMETHYLGLUTARYL-COA REDUCTASE INHIBITORS; PATIENT SATISFACTION; QUALITATIVE RESEARCH; SAFETY-NET PROVIDERS;

EID: 85015866368     PISSN: 01489917     EISSN: 15503267     Source Type: Journal    
DOI: 10.1097/JAC.0000000000000166     Document Type: Conference Paper

References (39)

1. Bailey, L. C., Mistry, K. B., Tinoco, A., Earls, M., Rallins, M. C., Hanley, K., Woods, D. (2014). Addressing electronic clinical information in the construction of quality measures. Academiae Pediatria, 14, S82-S89.
2. Baker, D. W., Persell, S. D., Thompson, J. A., Soman, N. S., Burgner, K. M., Liss, D., Kmetik, K. S. (2007). Automated review of electronic health records to assess quality of care for outpatients with heart failure. Annals of Internal Medicine, 146, 270-277.
3. Baus, A., Zullig, K., Long, D., Mullett, C., Pollard, C., Taylor, H., Coben, J. (2016). Developing methods of repurposing electronic health record data for identification of older adults at risk of unintentional falls. Perspectives Health Information Management, 13, 1b.
4. Behforouz, H. L., Drain, P. K., & Rhatigan, J. J. (2014). Rethinking the social history. New England Journal of Medicine, 371, 1277-1279.
5. Borkan, J. (1999). Immersion/Crystallization. In B. F., Crabtree, & W. L., Miller (Eds.), Doing qualitative research (2nd ed.). Thousand Oaks, CA: Sage Publications; 179-194.
6. Brooks, J. A. (2014). The new world of health care quality and measurement. American Journal of Nursing, 114, 57-59.
7. Bunce, A. E., Gold, R., Davis, J. V., McMullen, C. K., Jaworski, V., Mercer, M., Nelson, C. (2014). Ethnographic process evaluation in primary care: Explaining the complexity of implementation. BMC Health Services Research, 14, 607.
8. Casalino, L. P. (1999). The unintended consequences of measuring quality on the quality of medical care. New England Journal of Medicine, 341, 1147-1150.
9. Dixon-Woods, M., Leslie, M., Bion, J., & Tarrant, C. (2012). What counts? An ethnographic study of infection data reported to a patient safety program. Milbank Quarterly, 90, 548-591.
10. Dixon-Woods, M., Leslie, M., Tarrant, C., & Bion, J. (2013a). Explaining matching Michigan: An ethnographic study of a patient safety program. Implement Sciences, 8, 70.
11. Dixon-Woods, M., Redwood, S., Leslie, M., Minion, J., Martin, G. P., & Coleman, J. J. (2013b). Improving quality and safety of care using "technovigilance": An ethnographic case study of secondary use of data from an electronic prescribing and decision support system. Milbank Quarterly, 91, 424-454.
12. Fetters, M. D., Curry, L. A., & Creswell, J. W. (2013). Achieving integration in mixed methods designs: Principles and practices. Health Services Research, 48, 2134-2156.
13. Gardner, W., Morton, S., Byron, S. C., Tinoco, A., Canan, B. D., Leonhart, K., Scholle, S. H. (2014). Using computer-extracted data from electronic health records to measure the quality of adolescent well-care. Health Services Research, 49, 1226-1248.
14. Gold, R., Muench, J., Hill, C., Turner, A., Mital, M., Milano, C., Nichols, G. A. (2012). Collaborative development of a randomized study to adapt a diabetes quality improvement initiative for federally qualified health centers. Journal of Health Care for the Poor and Underserved, 23, 236-246.
15. Gold, R., Nelson, C., Cowburn, S., Bunce, A., Hollombe, C., Davis, J., DeVoe, J. (2015). Feasibility and impact of implementing a private care system's diabetes quality improvement intervention in the safety net: A cluster-randomized trial. Implement Sciences, 10, 83.
16. Gourin, C. G., & Couch, M. E. (2014). Defining quality in the era of health care reform. JAMA Otolaryngology Head and Neck Surgery, 140, 997-998.
17. Guest, G., Bunce, A., & Johnson, L. (2006). How many interviews are enough? An experiment with data saturation and variability. Field Methods, 18, 59-82.
18. Hysong, S. J. (2009). Meta-analysis: Audit and feedback features impact effectiveness on care quality. Medical Care, 47, 356-363.
19. Ivers, N., Barnsley, J., Upshur, R., Tu, K., Shah, B., Grimshaw, J., Zwarenstein, M. (2014a). "My approach to this job is one person at a time": Perceived discordance between population-level quality targets and patient-centred care. Canadian Family Physician, 60, 258-266.
20. Ivers, N. M., Grimshaw, J. M., Jamtvedt, G., Flottorp, S., O'Brien, M. A., French, S. D., Odgaard-Jensen, J. (2014b). Growing literature, stagnant science? Systematic review, meta-regression and cumulative analysis of audit and feedback interventions in health care. Journal of General Internal Medicine, 29, 1534-1541.
21. Ivers, N. M., Sales, A., Colquhoun, H., Michie, S., Foy, R., Francis, J. J., Grimshaw, J.M. (2014c). No more "business as usual" with audit and feedback interventions: Towards an agenda for a reinvigorated intervention. Implement Sciences, 9, 14.
22. Kansagara, D., Tuepker, A., Joos, S., Nicolaidis, C., Skaperdas, E., & Hickam, D. (2014). Getting performance metrics right: A qualitative study of staff experiences implementing and measuring practice transformation. Journal of General Internal Medicine, 29(Suppl. 2), S607-S613.
23. Kizer, K. W., & Kirsh, S. R. (2012). The double edged sword of performance measurement. Journal of General Internal Medicine, 27, 395-397.
24. Malina, D. (2013). Performance anxiety-what can health care learn from K-12 education?. New England Journal of Medicine, 369, 1268-1272.
25. Mannion, R., & Braithwaite, J. (2012). Unintended consequences of performance measurement in healthcare: 20 salutary lessons from the English National Health Service. Internal Medical Journal, 42, 569-574.
26. Matthews, K. A., Adler, N. E., Forrest, C. B., & Stead, W. W. (2016). Collecting psychosocial "vital signs" in electronic health records: Why now? What are they? What's new for psychology?. American Psychologist, 71, 497-504.
27. Parsons, K. W. (2004). Constant Comparison. In M. S. Lewis-Beck, A. Bryman & T. Futing Liao (Eds.), Encyclopedia of social science research methods. SAGE Publications, Inc; 181-182.
28. Parsons, A., McCullough, C., Wang, J., & Shih, S. (2012). Validity of electronic health record-derived quality measurement for performance monitoring. Journal of the American Medical Informatics Association, 19, 604-609.
29. Persell, S. D., Dolan, N. C., & Baker, D. W. (2008). Medical exceptions to decision support: A tool to identify provider misconceptions and direct academic detailing. AMIA Annuual Symposium Proceedings, 1090.
30. Persell, S. D., Kaiser, D., Dolan, N. C., Andrews, B., Levi, S., Khandekar, J., Baker, D. W. (2011). Changes in performance after implementation of a multifaceted electronic-health-record-based quality improvement system. Medical Care, 49, 117-125.
31. Persell, S. D., Khandekar, J., Gavagan, T., Dolan, N. C., Levi, S., Kaiser, D., Baker, D.W. (2012). Implementation of EHR-based strategies to improve outpatient CAD care. American Journal of Managed Care, 18, 603-610.
32. Persell, S. D., Wright, J. M., Thompson, J. A., Kmetik, K. S., & Baker, D. W. (2006). Assessing the validity of national quality measures for coronary artery disease using an electronic health record. Archives of Internal Medicine, 166, 2272-2277.
33. Powell, A. A.,White, K. M., Partin, M. R., Halek, K., Christianson, J. B., Neil, B., Bloomfield, H. E. (2012). Unintended consequences of implementing a national performance measurement system into local practice. Journal of General Internal Medicine, 27, 405-412.
34. Rowan, M. S.,Hogg, W.,Martin, C.,and Vilis, E. (2006). Family physicians' reactions to performance assessment feedback. Canadian Family Physician, 52, 1570-1571.
35. Ryan, A. M., McCullough, C. M., Shih, S. C., Wang, J. J., Ryan, M. S., & Casalino, L. P. (2014). The intended and unintended consequences of quality improvement interventions for small practices in a community-based electronic health record implementation project. Medicine Care, 52, 826-832.
36. Stange, K. C., Etz, R. S., Gullett, H., Sweeney, S. A., Miller, W. L., Jaén, C. R.,...Glasgow, R. E. (2014). Metrics for assessing improvements in primary health care. Annual Review of Public Health, 35, 423-442.
37. Steinman, M. A., Dimaano, L., Peterson, C. A., Heidenreich, P. A., Knight, S. J., Fung, K. Z., Kaboli, P. J. (2013). Reasons for not prescribing guidelinerecommended medications to adults with heart failure. Medicine Care, 51, 901-907.
38. Urech, T. H., Woodard, L. D., Virani, S. S., Dudley, R. A., Lutschg, M. Z., & Petersen, L. A. (2015). Calculations of financial incentives for providers in a payfor-performance program: Manual review versus data from structured fields in electronic health records. Medicine Care, 53, 901-907.
39. Van der Wees, P. J., Nijhuis-van der Sanden, M. W., van, G. E., Ayanian, J. Z., Schneider, E. C., & Westert, G. P. (2014). Governing healthcare through performance measurement in Massachusetts and the Netherlands. Health Policy, 116, 18-26.