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Learning Objectives Describe the use of the Outcomes Impact Analysis model to assess economic impact of a CME activity Discuss the potential role of Outcomes

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Page 1: Learning Objectives Describe the use of the Outcomes Impact Analysis model to assess economic impact of a CME activity Discuss the potential role of Outcomes
Page 2: Learning Objectives Describe the use of the Outcomes Impact Analysis model to assess economic impact of a CME activity Discuss the potential role of Outcomes

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Learning Objectives

• Describe the use of the Outcomes Impact Analysis model to assess economic impact of a CME activity

• Discuss the potential role of Outcomes Impact Analysis modeling in CME practice

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What We’ve Been Hearing…

• “How do I convey the value of CME to non-CME administrators?”

• “I need to summarize an entire year of outcomes in a condensed format.”

• “I’ve been asked to justify my continuing medical education budget.”

• “How can I compare different outcomes from a number of activities?”

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The Problems Confronting CME

• Funding and resources are decreasing– The core message of the value of CME is not

reaching internal and external stakeholders, policy makers, and society

– There are few resources for professionals to demonstrate the return on CME investment to nonmedical or noneducator audiences

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Solutions

• Demonstrating the benefits of CME depends on effective communication

• Economic data provide a universally understood outcome measure—monetary impact

• Economic modeling of CME is a rapid, cost effective, and repeatable method of predicting cost impact

Page 6: Learning Objectives Describe the use of the Outcomes Impact Analysis model to assess economic impact of a CME activity Discuss the potential role of Outcomes

Outcomes Impact Analysis

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Outcomes Impact Analysis: A Novel Analytic Framework

• Evaluating the economic impact of CME outcomes is based on the established principles of health economic modeling, decision analysis, probability theory, and statistical analysis

• No single existing economic analysis model is ideally suited for assessing CME outcomes

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• CME symposium was attended by 133 participants

• Reviewed strategies for blood conservation and implementation of the Society of Thoracic Surgeons Blood Conservation Clinical Practice Guidelines

• 93.8% were committed to change their practice based on what they learned

• Major barriers to blood conservation cited were cost, administration buy-in, and inertia

Blood Conservation Symposium: Economic Implications

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• Outcomes impact analysis was used to estimate the potential economic impact of applying CME-related learning to clinical practice for cardiac surgical outcomes:– Prevention of bleeding-related complications– Prevention of reoperation for bleeding in

coronary artery bypass graft (CABG) surgery• Costs averted were estimated from the

perspective of the healthcare provider

Evaluating the Economic Impact

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Bleeding-related complications (BRC)• A study of 103,826 cardiac operations showed that mean

hospital costs were $12,128 higher in patients with a BRC than in those without a BRC; the additive costs from 142,533 thoracic operations was $15,8991

Reoperation for bleeding in CABG• Nineteen studies studies evaluated additive costs of

reoperation for bleeding following CABG (n=755,382); weighted mean was $24,0482-4

Assumptions• Operative volume

– The STS/AATS Workforce Report showed that adult cardiac surgeons (n=1211) performed a mean of 155 cardiac operations and 214 thoracic operations in 20095

Models and Parameters

1. Stokes ME et al. BMC Health Serv Res. 2011;11:135-148.2. Brown PP et al. Ann Thorac Surg. 2008;85:1980-1987.3. Herwaldt LA et al. Infect Control Hosp Epidemiol. 2003;24:44-50.

4. Speir AM et al. Ann Thorac Surg. 2008;85:1980-1987.5. Shemin RJ et al. Ann Thorac Surg. 2012;93:348-355.

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Base Case Analysis• 3 in 10 participants changed clinical

practices as a result of CME learning in such a way as to prevent the outcome of interest (BRC or reoperation)

• Resulted in prevention of BRC and RFB in 2% and 1.5% of operations, respectively

• One year time period

Base Case

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• One-way sensitivity analysis evaluated the potential savings for the base case when the proportion of participants who prevented outcomes of interest varied from 1 in ten to 5 in ten

• Probabilistic sensitivity analysis with second-order Monte Carlo simulation was used to evaluate robustness of the estimate to parameter uncertainty and to calculate a mean and confidence interval for the estimated value

Adjustments• Estimated values were standardized to 2012 $US

using the medical care component of the Consumer Price Index

Sensitivity Analysis

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Results

ModelEstimated Value ($US 2012)

Base Case PSA Mean (95% CI)

Bleeding-related complications, cardiac 1,500,112 1,502,769 (869,860–2,359,068)

Bleeding-related complications, thoracic 2,715,104 2,715,246 (1,590,308-4,217,092)

Reoperation for bleeding, CABG 2,230,873 2,233,988 (1,223,901–3,648,719)

Ravyn D et al. J Cont Educ Health Prof. 2014;34(S1):S41-S46.

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Dynamic Estimator

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Outcomes Impact Analysis

Strengths Limitations

• Rapid, cost effective, and highly versatile

• Can be used in funding decision making or to evaluate outcomes after an activity

• Estimates of the monetary return on education

• Does not require patient-level or medical record data

• Independent of educational modality, audience, or therapy area

• Allows outcomes comparisons across heterogeneous activities

• Data, scenario, assumptions, and time horizon are tailored to the decision maker’s needs

• Results easily understood by nonmedical, noneducator, and lay audiences

• Sensitivity analysis demonstrates results across a wide range of plausible scenarios

• Cost data may be unavailable or unreliable

• Does not provide direct evidence of patient impact; outcomes inferred from utilization

• Serves as an adjunct to, not a replacement of educational outcomes

• Does not usually consider indirect or intangible costs

• Limited to expenditures, does not examine quality of life

• Requires expertise in the therapy area, health services, outcomes, and economic modeling

• As with all economic predictive models, it may be necessary to validate estimated values after implementation

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Conclusions

• Plausible economic estimates suggest that CME-related learning favorably impacting practice yields substantial cost savings

• Model prediction of averted costs associated with CME allows estimation of the economic impact on outcomes in the absence of patient-level outcomes data related to CME activities

• This model may also be used to optimize CME resources by identifying areas of educational need most likely to result in cost savings

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For more information contact Dana [email protected]