Risk-adjusted comparison of blood pressure and low-density lipoprotein (LDL) noncontrol in primary care offices

Journal of the American Board of Family Medicine

Volumn 26, Issue 6, 2013, Pages 658-668

  Hammermeister, Karl ^a   Bronsert, Michael ^a   Henderson, William G ^a,b   Coombs, Letoynia ^a   Hosokawa, Patrick ^a   Brandt, Elias ^c   Bryan, Cathy ^d   Valuck, Robert ^e   West, David ^a   Liaw, Winston ^f   Ho, Michael ^a,g   Pace, Wilson ^a,c  

^a UNIVERSITY OF COLORADO SCHOOL OF MEDICINE   (United States)

^b Global Health and Health Disparities   (United States)

^c AMERICAN ACADEMY OF FAMILY PHYSICIANS   (United States)

^d DI Consulting   (United States)

^e UNIVERSITY OF COLORADO   (United States)

^f VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

^g VETERANS AFFAIRS MEDICAL CENTER   (United States)

Author keywords

Blood pressure; Cholesterol; Clinical practice guideline; Electronic health records; Feedback; Health information management

Indexed keywords

LOW DENSITY LIPOPROTEIN;

ADULT; AGED; ARTICLE; BLOOD PRESSURE REGULATION; CARDIOVASCULAR DISEASE; CARDIOVASCULAR RISK; COMPARATIVE EFFECTIVENESS; ELECTRONIC MEDICAL RECORD; FEMALE; HOSPITAL; HUMAN; MAJOR CLINICAL STUDY; MALE; PRIMARY MEDICAL CARE; RISK ASSESSMENT;

BLOOD PRESSURE; CHOLESTEROL; CLINICAL PRACTICE GUIDELINE; ELECTRONIC HEALTH RECORDS; FEEDBACK; HEALTH INFORMATION MANAGEMENT;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; BLOOD PRESSURE; CARDIOVASCULAR DISEASES; ELECTRONIC HEALTH RECORDS; FEMALE; HUMANS; LIPOPROTEINS, LDL; MALE; MIDDLE AGED; MORBIDITY; PRIMARY HEALTH CARE; RISK ASSESSMENT; RISK FACTORS; UNITED STATES; YOUNG ADULT;

EID: 84888363703     PISSN: 15572625     EISSN: 15587118     Source Type: Journal    
DOI: 10.3122/jabfm.2013.06.130017     Document Type: Article

References (30)

1. Roger VL, Go AS, Lloyd-Jones DM, et al Heart disease and stroke statistics-2012 update: a report from the American Heart Association. Circulation 2012; 125:e2-220.
2. Heidenreich PA, Trogdon JG, Khavjou O.A., et al Forecasting the future of cardiovascular disease in the United States: a policy statement from the American Heart Association. Circulation 2011; 123: 933-44.
3. Hozawa A, Folsom AR, Sharrett A.R., Chambless LE Absolute and attributable risks of cardiovascular disease incidence in relation to optimal and borderline risk factors: comparison of African American with white subjects-Atherosclerosis Risk in Communities Study. Arch Intern Med 2007; 167:573-9. (Pubitemid 46513226)
4. Law MR, Morris JK, Wald NJ Use of blood pressure lowering drugs in the prevention of cardiovascular disease: meta-analysis of 147 randomised trials in the context of expectations from prospective epi-demiological studies. BMJ 2009; 338:b1665.
5. Baigent C, Keech A, Kearney P.M., et al Efficacy and safety of cholesterol-lowering treatment: prospective meta-analysis of data from 90,056 participants in 14 randomised trials of statins. Lancet 2005; 366: 1267-78.
6. Centers for Disease Control and Prevention (CDC). Vital signs: prevalence, treatment, and control of hypertension-United States, 1999-2002 and 2005-2008. MMWR Morb Mortal Wkly Rep 2011; 60: 103-8.
7. Lewington S, Clarke R, Qizilbash N., Peto R, Collins R. Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies. Lancet 2002; 360:1903-13. (Pubitemid 35472129)
8. Fryar CD, Hirsch R, Eberhardt M.S., Yoon SS, Wright JD Hypertension, high serum total cholesterol, and diabetes: racial and ethnic prevalence differences in U.S. adults, 1999-2006. NCHS Data Brief 2010; 1-8.
9. Law MR, Wald NJ, Thompson SG By how much and how quickly does reduction in serum cholesterol concentration lower risk of ischaemic heart disease? BMJ 1994; 308:367-72. (Pubitemid 24078498)
10. Libby AM, Pace W, Bryan C., et al Comparative effectiveness research in DARTNet primary care practices: point of care data collection on hypogly-cemia and over-the-counter and herbal use among patients diagnosed with diabetes. Med Care 2010; 48(6 Suppl):S39-44.
11. Pace WD, Cifuentes M, Valuck R.J., Staton EW, Brandt EC, West DR An electronic practice-based network for observational comparative effectiveness research. Ann Intern Med 2009; 151:338-40.
12. Pace WD, West DR, Valuck R.J., Cifuentes M., Staton EW Distributed Ambulatory Research in Therapeutics Network (DARTNet): summary report. Effective health care research reports, no. 14. Rockville, MD: Agency for Healthcare Research and Quality; 2009. Available from: http://effectivehealthcare.ahrq.gov/ ehc/products/53/151/2009-0728DEcIDE-DARTNet.pdf. Accessed September 19, 2013.
13. Chobanian AV. The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: complete report. National Institutes of Heath publication no. 04-5230. Bethesda, MD: National Heart, Lung, and Blood Institute; 2004. Available from: http://www.nhlbi.nih.gov/guidelines/hypertension/jnc7full.htm. Accessed September 19, 2013.
14. National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation 2002; 106:3143-421.
15. Tierney WM, Overhage JM, Takesue B.Y., et al Computerizing guidelines to improve care and patient outcomes: the example of heart failure. J Am Med Inform Assoc 1995; 2:316-22.
16. Schneeweiss R, Rosenblatt RA, Cherkin D.C., Kirkwood CR, Hart G. Diagnosis clusters: a new tool for analyzing the content of ambulatory medical care. Med Care 1983; 21:105-22. (Pubitemid 13154828)
17. Pace WD, Dickinson LM, Staton EW Seasonal variation in diagnoses and visits to family physicians. Ann Fam Med 2004; 2:411-7. (Pubitemid 39421107)
18. Kiefe C, Woolley TW, Allison J.J., Box JB, Craig AS Determining benchmarks: a data-driven search for the best achievable performance. Clin Perfor Qual Health Care 1994; 2:190-4.
19. Kiefe CI, Weissman NW, Allison J.J., Farmer R., Weaver M, Williams OD Identifying achievable benchmarks of care: concepts and methodology. Int J Qual Health Care 1998; 10:443-7. (Pubitemid 28491622)
20. Kiefe CI, Allison JJ, Williams O.D., Person SD, Weaver MT, Weissman NW Improving quality improvement using achievable benchmarks for physician feedback: a randomized controlled trial. JAMA 2001; 285:2871-9. (Pubitemid 32537351)
21. Weissman NW, Allison JJ, Kiefe C.I., et al Achievable benchmarks of care: the ABCs of benchmarking. J Eval Clin Pract 1999; 5:269-81. (Pubitemid 29344420)
22. Randhawa GS, Slutsky JR Building sustainable multi-functional prospective electronic clinical data systems. Med Care 2012; 50(Suppl):S3-6.
23. Centers for Disease Control and Prevention (CDC). Vital signs: prevalence, treatment, and control of high levels of low-density lipoprotein cholesterol-United States, 1999-2002 and 2005-2008. MMWR Morb Mortal Wkly Rep 2011; 60:109-14.
24. Grover FL, Hammermeister KE, Burchfiel C. Initial report of the Veterans Administration Preoperative Risk Assessment Study for Cardiac Surgery. Ann Thorac Surg 1990; 50:12-26.
25. Marshall G, Grover FL, Henderson W.G., Hammermeister KE Assessment of predictive models for binary outcomes: an empirical approach using operative death from cardiac surgery. Stat Med 1994; 13:1501-11. (Pubitemid 24273800)
26. Grover FL, Johnson RR, Shroyer A.L., Marshall G., Hammermeister KE The Veterans Affairs Continuous Improvement in Cardiac Surgery Study. Ann Thorac Surg 1994; 58:1845-51. (Pubitemid 24379026)
27. Hammermeister KE, Johnson R, Marshall G., Grover FL Continuous assessment and improvement in quality of care. A model from the Department of Veterans Affairs Cardiac Surgery. Ann Surg 1994; 219:281-90. (Pubitemid 24085123)
28. Daley J, Khuri SF, Henderson W, et al Risk adjustment of the postoperative morbidity rate for the comparative assessment of the quality of surgical care: results of the National Veterans Affairs Surgical Risk Study. J Am Coll Surg 1997; 185:328-40. (Pubitemid 27419190)
29. Khuri SF, Daley J, Henderson W., et al Risk adjustment of the postoperative mortality rate for the comparative assessment of the quality of surgical care: results of the National Veterans Affairs Surgical Risk Study. J Am Coll Surg 1997; 185:315-27.
30. Daley J, Forbes MG, Young G.J., et al Validating risk-adjusted surgical outcomes: site visit assessment of process and structure. National VA Surgical Risk Study. J Am Coll Surg 1997; 185:341-51. (Pubitemid 27419191)