Pursuing integration of performance measures into electronic medical records: Beta-adrenerqic receptor antagonist medications

Quality and Safety in Health Care

Volumn 14, Issue 2, 2005, Pages 99-106

  Weiner, M ^a,b,c   Stump, T E ^a,b   Callahan, C M ^a,b,c   Lewis, J N ^d   McDonald, C J ^b,c  

^a INDIANA UNIVERSITY CENTER FOR AGING RESEARCH   (United States)

^b REGENSTRIEF INSTITUTE   (United States)

^c INDIANA UNIVERSITY   (United States)

^d Medicare Qual Improvement Org   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BETA ADRENERGIC RECEPTOR BLOCKING AGENT;

ACCREDITATION; ADULT; AGED; ARTICLE; AUTOMATION; ELECTRONIC MEDICAL RECORD; FEMALE; HEALTH CARE QUALITY; HEART INFARCTION; HOSPITAL ADMISSION; HUMAN; MAJOR CLINICAL STUDY; MALE; MEASUREMENT; MEDICARE; QUALITY CONTROL; RESOURCE ALLOCATION; RISK ASSESSMENT; SURVIVAL; TASK PERFORMANCE;

ACADEMIC MEDICAL CENTERS; ADRENERGIC BETA-ANTAGONISTS; AGED; CROSS-SECTIONAL STUDIES; DRUG UTILIZATION REVIEW; HOSPITALS, URBAN; HUMANS; INDIANA; MEDICAL AUDIT; MEDICAL RECORDS SYSTEMS, COMPUTERIZED; MEDICARE; MYOCARDIAL INFARCTION; QUALITY INDICATORS, HEALTH CARE; SYSTEMS INTEGRATION;

EID: 17244383375     PISSN: 14753898     EISSN: None     Source Type: Journal    
DOI: 10.1136/qshc.2004.011049     Document Type: Article

References (61)

1. Chen J, Radford MJ, Wang Y, et al. Are beta-blockers effective in elderly patients who undergo coronary revascularization after acute myocardial infarction? Arch Intern Med 2000;160:947-52.
2. Avezum A, Tsuyuki RT, Pogue J, et al. Beta-blocker therapy for congestive heart failure: a systemic overview and critical appraisal of the published trials. Can J Cardiol 1998;14:1045-53.
3. Hussey PS, Anderson GF, Osborn R, et al. How does the quality of care compare in five countries? Health Aff (Millwood) 2004;23:89-99.
4. Joint Commission on Accreditation of Healthcare Organizations. Measurement information form, performance measure identifier 14232 (AMI-5): beta blocker prescribed at discharge, 2002. Available at http://www.jcaho.org/ perfmeas/coremeas/AMI_5.pdf.
5. Joint Commission on Accreditation of Healthcare Organizations. Measurement information form, performance measure identifier 14234 (AMI-6): beta blocker at arrival, 2002. Available at http://www.jcaho.org/perfmeas/coremeas/ AMI_6.pdf.
6. Joint Commission on Accreditation of Healthcare Organizations. Overview of the acute myocardial infarction (AMI) core measure set, 2002. Available at http://www.jcoho.org/perfmeas/coremeas/AMI_Overview.htm.
7. National Committee for Quality Assurance. HEDIS 2000: Technical specifications. Washington, DC (NCQA item #10235-100-00), 1999.
8. Underwood P, Beck P. Secondary prevention following myocardial infarction: evidence from an audit in South Wales that the National Service Framework for coronary heart disease does not address all the issues. Qual Saf Health Core 2002;11:230-2.
9. Institute of Medicine. Crossing the quality chasm: a new health system for the 21st century. Washington, DC: National Academy Press, 2001.
10. DiSalvo TG, Normand SL, Hauptman PJ, et al. Pitfalls in assessing the quality of care for patients with cardiovascular disease. Am J Med 2001;111:297-303.
11. Jencks SF, Cuerdon T, Burwen DR, et al. Quality of medical care delivered to Medicare beneficiaries: a profile at state and national levels. JAMA 2000;284:1670-6.
12. Anon. More hospitals voluntarily report quality data. Caring for the ages 2004:65.
13. The Leapfrog Group. Survey results. 2003. Available at http://www.leapfroggroup.org/consumer_intro2.htm.
14. Dexter PR, Perkins S, Overhage JM, et al. A computerized reminder system to increase the use of preventive care for hospitalized patients. N Engl J Med 2001;345:965-70.
15. Overhage JM, Tierney WM, Zhou XH, et al. A randomized trial of "corollary orders" to prevent errors of omission. J Am Med Informatics Assoc 1997;4:364-75.
16. McDonald CJ. Protocol-based computer reminders, the quality of care and the non-perfectability of man. N Engl J Med 1976;295:1351-5.
17. Dexter PR, Wolinsky FD, Gramelspacher GP, et al. Effectiveness of computer-generated reminders for increasing discussions about advance directives and completion of advance directive forms. A randomized, controlled trial. Ann Intern Med 1998;128:102-10.
18. Tierney WM, McDonald CJ, Martin DK, et al. Computerized display of past test results. Effect on outpatient testing. Ann Intern Med 1987;107:569-74.
19. McDonald CJ, Hui SL, Smith DM, et al. Reminders to physicians from an introspective computer medical record. A two-year randomized trial. Ann Intern Med 1984;100:130-8.
20. Tierney WM, Hui SL, McDonald O. Delayed feedback of physician performance versus immediate reminders to perform preventive care. Effects on physician compliance. Med Core 1986;24:659-66.
21. Bates DW, Teich JM, Lee J, et al. The impact of computerized physician order entry on medication error prevention. J Am Med Informatics Assoc 1999;6:313-21.
22. Weiner M, Callahan CM, Tierney WM, et al. Using information technology to improve the healthcare of older adults. Ann Intern Med 2003;139:430-6.
23. Berwick DM. Developing and testing changes in delivery of care. Ann Intern Med 1998;128:651-6.
24. Medicare Payment Advisory Commission. Improving quality through Medicare payment policy. Washington, DC: Medicare Payment Advisory Commission, 2004.
25. Epstein AM, Lee TH, Hamel MB. Paying physicians for high-quality care. N Engl J Med 2004;350:406-10.
26. Leatherman S, Berwick D, Iles D, et al. The business case for quality: case studies and an analysis. Health Aff (Millwood) 2003;22:17-30.
27. Marshall M, Smith P. Rewarding results: using financial incentives to improve quality. Qual Saf Health Care 2003;12:397-8.
28. Medicare Payment Advisory Commission. Report fo the Congress: applying quality improvement standards in Medicare. Washington, DC: Medicare Payment Advisory Commission, 2002.
29. Department of Health & Human Services. HHS launches new efforts to promote paperless health care system, 2003. Available at http://www.hhs.gov/ news/press/2003pres/20030701.html.
30. McDonald CJ, Overhage JM, Suico JG, et al. The Regenstrief Medical Record System 2000: expanding the breadth and depth of a community wide EMR. Los Angeles, CA: AMIA 2000 Annual Symposium, 2000.
31. McDonald CJ, Blevins L, Tierney WM, et al. The Regenstrief medical records. MD Comput 1988;5:34-47.
32. McDonald CJ, Overhage JM, Tierney WM, et al. The Regenstrief Medical Record System: a quarter century experience. Int J Med Informatics 1999;54:225-53.
33. American Medical Association. International classification of diseases, 9th revision, clinical modification (1996). Dover, DE: American Medical Association, 1995.
34. Centers for Disease Control and Prevention. Classifications of diseases and functioning and disability, 2002. Available at http://www.cdc.gov/nchs/icd9. htm.
35. Goldstein S. Benefits of beta-blocker therapy for heart failure: weighing the evidence. Arch Intern Med 2002;162:641-8.
36. Brophy JM, Joseph L, Rouleau JL. Beta-blockers in congestive heart failure. A Bayesian meta-analysis. Ann Intern Med 2001;134:550-60.
37. Foody JM, Farrell MH, Krumholz HM. Beta-blocker therapy in heart failure: scientific review. JAMA 2002;287:883-9.
38. Phillips KA, Shlipak MG, Coxson P, et al. Health and economic benefits of increased beta-blocker use following myocardial infarction. JAMA 2000;284:2748-54.
39. Ryan TJ, Anderson JL, Antman EM, et al. ACC/AHA guidelines for the management of patients with acute myocardial infarction. A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee on Management of Acute Myocardial Infarction). J Am Coll Cardiol 1996;28:1328-428.
40. Krumholz HM, Radford MJ, Wang Y, et al. National use and effectiveness of beta-blockers for the treatment of elderly patients after acute myocardial infarction: National Cooperative Cardiovascular Project. JAMA 1998;280:623-9.
41. Krumholz HM, Radford MJ, Wang Y, et al. Early beta-blocker therapy for acute myocardial infarction in elderly patients. Ann Intern Med 1999;131:648-54.
42. Brotons C, Permanyer G, Pacheco V, et al. Prophylactic treatment after myocardial infarction in primary care: how far can we go? Family Practice 2003;20:32-5.
43. Holmboe ES, Meehan TP, Radford MJ, et al. Use of critical pathways to improve the care of patients with acute myocardial infarction. Am J Med 1999;107:324-31.
44. Mehta RH, Montoye CK, Gallogly M, et al. Improving quality of care for acute myocardial infarction: The Guidelines Applied in Practice (GAP) Initiative. JAMA 2002;287:1269-76.
45. Sial SH, Malone M, Freeman JL, et al. Beta blocker use in the treatment of community hospital patients discharged after myocardial infarction. J Gen Intern Med 1994;9:599-605.
46. Rathore SS, Berger AK, Weinfurt KP, et al. Race, sex, poverty, and the medical treatment of acute myocardial infarction in the elderly. Circulation 2000;102:642-8.
47. Fehrenbach SN, Budnitz DS, Gazmararian JA, et al. Physician characteristics and the initiation of beta-adrenergic blocking agent therapy after acute myocardial infarction in a managed care population. Am J Manag Care 2001;7:717-23.
48. Sheikh K, Bullock C. Urban-rural differences in the quality of care for Medicare patients with acute myocardial infarction. Arch Intern Med 2001;161:737-43.
49. Krumholz HM. Key challenges in measuring quality of care: what needs to be done? Am J Med 2001;111:324-5.
50. Bates DW, Cohen M, Leape LL, et al. Reducing the frequency of errors in medicine using information technology. J Am Med Informatics Assoc 2001;8:299-308.
51. Rubin HR, Rogers WH, Kahn KL, et al. Watching the doctor-watchers. How well do peer review organization methods detect hospital care quality problems? JAMA 1992;267:2349-54.
52. Ellerbeck EF, Jencks SF, Radford MJ, et al. Quality of care for Medicare patients with acute myocardial infarction. A four-state pilot study from the Cooperative Cardiovascular Project. JAMA 1995;273:1509-14.
53. Chen J, Radford MJ, Wang Y, et al. Effectiveness of beta-blocker therapy after acute myocardial infarction in elderly patients with chronic obstructive pulmonary disease or asthma. J Am Coll Cardiol 2001;37:1950-6.
54. Radford MJ, Krumholz HM. Beta-blockers after myocardial infarction-for few patients, or many? N Engl J Med 1998;339:551-3.
55. Gottlieb SS, McCarter RJ, Vogel RA. Effect of beta-blockade on mortality among high-risk and low-risk patients after myocardial infarction. N Engl J Med 1998;339:489-97.
56. Farrell MH, Foody JM, Krumholz HM. Beta-blockers in heart failure: clinical applications. JAMA 2002;287:890-7.
57. Howard PA, Ellerbeck EF. Optimizing beta-blocker use after myocardial infarction. Am Fam Physician 2000;62:1853-60, 1865-6.
58. Iezzoni LI. Using administrative diagnostic data to assess the quality of hospital care. Pitfalls and potential of ICD-9-CM. Int J Technol Assess Health Core 1990;6:272-81.
59. Iezzoni LI, Burnside S, Sickles L, et al. Coding of acute myocardial infarction. Clinical and policy implications. Ann Intern Med 1988;109:745-51.
60. Pladevall M, Goff DC, Nichaman MZ, et al. An assessment of the validity of ICD code 410 to identify hospital admissions for myocardial infarction: The Corpus Christi Heart Project. Int J Epidemiol 1996;25:948-52.
61. eHealfh Initiative. Healthcare Collaboration Network: a national demonstration project, 2003. Available at http://www.ehealthinitiative.org/ programs/hcn.ntml.