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Forecasting the Impact of Key Drivers of Quality in Clinical Conditions
Gregory H. Dorn, MD, MPH
Director of Marketing
9100 Wilshire Blvd., Suite 655E Beverly Hills, CA 90212 (310) 247-7700 Dorn@Zynx.com
Forecasting the Impact of Key Drivers of Quality in Clinical - - PowerPoint PPT Presentation
Forecasting the Impact of Key Drivers of Quality in Clinical Conditions Gregory H. Dorn, MD, MPH Director of Marketing 9100 Wilshire Blvd., Suite 655E Beverly Hills, CA 90212 (310) 247-7700 Dorn@Zynx.com 3/16/00 1 Overview How to
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9100 Wilshire Blvd., Suite 655E Beverly Hills, CA 90212 (310) 247-7700 Dorn@Zynx.com
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◆ quality improvement ◆ cost reduction initiatives
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◆ Developing evidence-based guidelines ◆ Improving care and patient outcomes ◆ Engaging physicians and other clinicians ◆ Controlling costs ◆ Measuring quality
3/16/00 4 Hooker, RC. The rise and rise of evidence-based medicine. The Lancet 1997; 349:1329-1330.
■ Articles containing keywords evidence-based
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$1,000,000 in Reimbursement
$900,000 $950,000 $1,000,000 $1,050,000 $1,100,000 $1,150,000 $1,200,000 $1,250,000 $1,300,000 1997 1998 1999 2000 2001 2002
BBA No BBA 2003 2004
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◆ deliver health care services
Institute of Medicine Roundtable Statement: JAMA 1998;280:1000-1005.
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◆ All 50 States
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Institute of Medicine. America’s Health in Transition: Protecting and Improving the Quality of Health and Health Care, 1994
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Sackett DL et al, Evidence-based Medicine: How to Practice and Teach EBM, Churchill Livingstone, NY, 1997.
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◆ Quality improvement ◆ Cost savings
◆ Scientific methodology ◆ Lives saved & disability avoided
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◆ Minimizes literature bias (JAMA Vol. 282:11, 1999) ◆ Focuses on tests and therapies with maximal
◆ Facilitates the conversion of evidence into
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◆ Galen (c.130-200 AD)
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Feder, G; Eccles, M; Grol, R; Griffiths, C; Grimshaw, J, “Clinical guidelines: Using clinical guidelines”; BMJ 318(7185) ,13 March 1999 pp 728-730
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Feder, G; Eccles, M; Grol, R; Griffiths, C; Grimshaw, J, “Clinical guidelines: Using clinical guidelines”; BMJ 318(7185) ,13 March 1999 pp 728-730
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From Grol & Grimshaw, “Evidence-Based Implementation of Evidence Based Medicine”; Journal of Quality Improvement, Vol. 29 (10), 1999
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◆ e.g. lives saved, disability or reinfarctions
◆ e.g. decrease in ALOS or resource utilization
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Krumholz HM, Radford MJ, Wang Y, Chen J, Marciniak TA. Early beta-blocker therapy for acute myocardial infarction in elderly patients. Annals of Internal Medicine 1999; 131:648-54
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Please enter your institution’s data for the following: Please enter your institution’s data for the following:
Number of patients admitted each year with acute Number of patients admitted each year with acute myocardial infarction myocardial infarction Percentage of AMI patients who are treated with beta- Percentage of AMI patients who are treated with beta- blockers on day 1 or 2 (%) blockers on day 1 or 2 (%) Percentage of AMI patients with contraindications to Percentage of AMI patients with contraindications to beta-blockers beta-blockers
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The following projections are based on the data you The following projections are based on the data you entered
entered:
:
Potential number of lives saved during hospitalization Potential number of lives saved during hospitalization With the early use of beta-blockers With the early use of beta-blockers
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■ Multicenter, prospective, randomized PAMI-II
■ “Accelerated care group” ◆ LOS averaged 4.2 + 2.3 days ■ “Traditional care group” ◆ LOS averaged 7.1 + 4.7 days ■ No differences in outcomes1 at 6 month follow up.
1mortality rate, reinfarction, revascularization, stroke, unstable ischemia, or congestive heart failure.
Grines CL, Marsalese DL, Brodie B, Griffin J, Donohue B, Costantini CR, et al. Safety and cost-effectiveness of early discharge after primary angioplasty in low risk patients with acute myocardial infarction. PAMI-II Investigators. Primary Angioplasty in Myocardial Infarction. Journal of the American College of Cardiology 1998; 31:967-72
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Please enter your institution’s data for the following: lease enter your institution’s data for the following:
Number of patients with acute myocardial infarction Number of patients with acute myocardial infarction (AMI) admitted each year (AMI) admitted each year Percentage of patients with AMI who receive PTCA Percentage of patients with AMI who receive PTCA and and are classified as "low risk" (%) are classified as "low risk" (%) Average cost per day for AMI patients ($) Average cost per day for AMI patients ($) Mean length of stay for Mean length of stay for “ “low-risk low-risk” ” AMI patients AMI patients receiving PTCA (days) receiving PTCA (days)
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The following projections are based on the data you entered: The following projections are based on the data you entered: Potential number of days saved Potential number of days saved Potential cost savings ($) Potential cost savings ($)
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◆ Extract efficiencies required by the marketplace ◆ Quantify the opportunity and focus efforts for
◆ What’s best for our patients ◆ What’s best for our hospital
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Grimshaw & Russell, “Effect of clinical guidelines on medical practice: as systematic review of rigorous evaluations.” The Lancet; 342(8883): 1317-1322. 11/27/93
DEVELOPMENT DISSEMINATION IMPLEMENTATION PROBABILITY OF IMPROVED OUCTOMES
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Davis, DA et al: JAMA 1995;274:700-705.
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Grimshaw & Russell, “Effect of clinical guidelines on medical practice: as systematic review of rigorous evaluations.” The Lancet; 342(8883): 1317-1322. 11/27/93
Development Strategy Dissemination Strategy Implementation Strategy Probability of Being Effective Internal Specific educational intervention Patient specific reminders at time of consultation High Intermediate Continuing Ed. Patient-specific feedback Above average External, local Mailings General feedback Below average External, national Publication General reminder Low
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Cabana, MD, Rand, CS, Powe, NR, et al. “Why Don’t Physicians Follow Clinical Practice Guidelines?” JAMA, 282(15); October 20, 1999
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◆ 1st in a lecture format ◆ 2nd by forecasting to “make the case” ◆ Presentations were 30 days apart
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0% 10% 20% 30% 40% 50% 60% 70% 80% PRE-EBF POST-EBF Very high High Moderate
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0% 5% 10% 15% 20% 25% 30% 35% 40% PRE-EBF POST-EBF
Extremely Important Very Important Moderately Important Not much effect No effect
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0% 10% 20% 30% 40% 50% 60% 70% 80% PRE-EBF POST-EBF Outstanding Very Good Moderate
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