Decision Analysis Example



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Options for Doing Cost-Effectiveness Analysis Decision Analysis Example after Occupational Exposure to Clinical trial Mathematical modeling Clinical Trial Incremental Cost-Effectiveness Ratio Conduct a clinical trial Randomized controlled trial Cohort study Case-control study Measure outcomes and cost Calculate the Incremental Cost-Effectiveness Ratio (ICER) (Cost of A) - (Cost of B) ------------------------------------------------ (Effectiveness of A) - (Effectiveness of B) 1

Example RCT 200 patients with disease 100 get Drug A 100 get Drug B Wait 5 years Measure The cost of medical care in each group The number of years of life in each group Outcomes Choice Cost Effectiveness Drug A $1,000,000 500 years Drug B $900,000 498 years Calculation of ICER ($1 million for the group getting Drug A) - ($900,000 for the group getting Drug B) (500 years for the group getting Drug A) - (498 years for the group getting Drug B) $100,000 $50,000 2 years of life 1 year of life Human Immunodeficiency Virus Type 1 (-1) CD4 receptor (coreceptors) Reverse transcriptase* Integrase RNA polymerase regulatory gene products Transport, assembly, and budding aspartyl protease* *Site of action for current drugs 2

Infection after Needlestick Injury Direct inoculation into blood vessels Cutaneous dendritic (Langerhans) cells Delay from injury to infection Initial viremia (acute syndrome) Chronic infection Characteristics of Disease in Donor Patients Mean time from infection to illness is about 10 years Plasma viremia Drug resistance Questions HCWs with Occupational Infection, June 2000 What is the risk of infection after needlestick? What drugs are available for prophylaxis? How effective are they? What are their side effects? 56 probable 138 possible 3

HCWs with Percutaneous Blood Exposure CDC Prospective Cohort Study Donor known to be positive HCW known to be negative 6 months of follow-up 4 of 1,440 (0.0028) infected Combined with 22 smaller studies 20 of 6,202 (0.0032) infected Risk after Different Types of Percutaneous Blood Exposure CDC case-control study 31 cases had documented, occupational, percutaneous exposure to -infected blood (needlestick or cut with scalpel or lancet), seroconversion temporally associated with exposure, and no other risk factors 679 controls had similar exposures and were seronegative at the time of exposure and 6 months later CDC Case-Control Study: 31 Cases, 679 Controls Risk Factor Adjusted Odds 95% CI Ratio Deep Injury* 16.1 6.1-44.6 Visible blood from donor 52 5.2 18 1.8-17.7 177 patient on device Needle in donor patient s 5.1 1.9-14.8 vein or artery Terminal illness in donor 6.4 2.2-18.9 * As opposed to superficial injury (scratch, no blood) or moderate injury (skin penetrated and blood appeared). Risk Factors Not Found To Be Significant Stage of infection Type of device, including gauge of hollow needle Type of procedure, including whether the procedure was done as an emergency Use of gloves Time from device usage to exposure 4

Risk after Other Types of Exposure Blood on mucous membranes 1 case (0.0009) Blood on intact skin No cases Exposure to other bodily fluids not visibly contaminated with blood No cases What Drugs Are Available for? Nucleoside reverse transcriptase inhibitors Requirement for phosphorylationp Nonnucleoside reverse transcriptase inhibitors Protease inhibitors Zidovudine (ZDV) Nucleoside reverse transcriptase inhibitor First drug approved for the treatment of infection Decreased progression to AIDS in patients with CD4+ T-cell counts less than 500 per ul Resistance is frequent, especially after 6 months Lamivudine (3TC) Nucleoside reverse transcriptase inhibitor Further decrease in progression to AIDS/death compared to zidovudine alone Licensed only for use with zidovudine Used alone, resistance is early and universal strains that are resistant to lamivudine Are more susceptible to zidovudine Mutate less rapidly 5

Indinavir (IDV) Protease inhibitor Increase in CD4+ T-cell count and decrease in RNA levels when given in combination with zidovudine and lamivudine Resistance occurs but requires over 10 amino acid substitutions How Effective Are Drugs for? Similar drugs work in studies of mice, cats, and nonhuman primates, but their efficacy is decreased by Delaying drug initiation beyond 24 hours Shortening drug use to less than 4 weeks Decreasing daily drug dose Human studies Case Reports of Zidovudine Failures 11 failures in HCWs ZVD begun a median of 1.5 hrs after exposure Median dose 1,000 mg/d Median duration 21 days 5 additional failures in nonhcws (large innoculum) 1 blood transfusion 1 suicidal self-innoculation 1 assault on a prison guard with a needlesyringe 2 intravenous exposures during procedures Risk after Different Types of Percutaneous Blood Exposure CDC case-control study 31 cases had documented, occupational, percutaneous exposure to -infected blood (needlestick or cut with scalpel or lancet), seroconversion temporally associated with exposure, and no other risk factors 679 controls had similar exposures and were seronegative at the time of exposure and 6 months later 6

CDC Case-Control Study of HCWs 31 cases and 679 controls Risk Factor Adjusted 95% CI Odds Ratio Zidovudine * 0.2 0.1-0.6 * 1000 mg/day for 3-4 weeks Infection reduced by 79% (95% CI 43-94% Percentage of HCWs with Zidovudine Side Effects Side Effect 236 using ZDV 439 without ZDV P value Nausea / vomiting 61 21 < 0.01 Malaise / fatigue 33 7 < 0.01 Headache 25 3 < 0.01 Myalgia/arthralgia 10 6 < 0.07 Abdominal pain 8 1 < 0.01 Diarrhea 8 2 < 0.01 Any side effect 75 26 < 0.01 Other Side Effects 47 Surveillance Hospitals June 1996 to November 2000 Zidovudine Anemia, neutropenia, abnormal LFTs Lamivudine Nausea, abdominal pain, skin rash, pancreatitis Indinavir Nausea, abdominal pain, hyperbilirubinemia, kidney stones 11,784 exposures to blood and bloody fluids When donor was positive, 63% started post exposure prophylaxis 50% experienced adverse drug effects and 33% stopped drugs because of adverse effects 7

The Problem Steps in Decision Analysis infection leads to a terrible illness, and there are drugs that appear to provide protection after needlestick injury. Infection occurs only rarely after needlestick injury. Therefore, hundreds of people who will not get infected and thus cannot benefit from prophylaxis will have to be treated and experience drug side effects for every person whose infection is prevented. How do we balance the possible benefits and risks and decide when prophylaxis should be used? 1. Imagine the model, and draw the tree 2. Identify the probabilities 3. Identify the outcome values 4. Calculate expected values 5. Perform sensitivity analyses Types of Nodes Decision Tree 1 Decision nodes (squares) Chance nodes (circles) Terminal nodes (branch endings) 8

Decision Tree 2 p No Rule 1 Node branches must be exhaustive and mutually exclusive. Decision Tree 3 Rule 2 At each chance node, the sum of the branch probabilities must equal one. No 9

Decision Tree 4 Steps in Decision Analysis No No No 1. Imagine the model, and draw the tree 2. Identify the probabilities 3. Identify the outcome values 4. Calculate expected values 5. Perform sensitivity analyses Decision Tree 5 0.003 No 0.997 No No Proportion of health care workers infected after ate percutaneous pecuta eous exposure Proportion of infected patients with no detectable virus at 24 weeks Zidovudine alone 0.0006 (0.003 x 0.2) Zidovudine + Lamivudine + Indinavir? 0.02 1 0.49 2 1 Delta Coordinating Committee and Delta Virology Committee. AIDS. 1999;13:57-65. 2 Demeter LM, et al. Ann Intern Med. 2001;135:954-964. 10

Decision Tree 5 Steps in Decision Analysis 0.003 No 0.997 No No 1. Imagine the model, and draw the tree 2. Identify the probabilities 3. Identify the outcome values 4. Calculate expected values 5. Perform sensitivity analyses Possible Outcome Measures Percentage survival at 15 years Life expectancy Number of infections avoided d Cost of choices in dollars Utility Rank and Scale Method for Measuring Utility Outcome Rank Utility, no, no side effects, no, side effects, no,, no side effects,, side effects, 11

Rank and Scale Method for Measuring Utility Steps in Decision Analysis Outcome Rank Utility, no 1 100.0, no side effects, no 2 99.7, side effects, no 3 99.0, 4 8.6, no side effects, 5 8.1 1. Imagine the model, and draw the tree 2. Identify the probabilities 3. Identify the outcome values 4. Calculate expected values 5. Perform sensitivity analyses, side effects, 6 0.2 Two Methods Decision Tree 6 Average out and fold back Path probability 0.003 No 0.997 No No 8.6 100 0.2 99.0 8.1 99.7 12

0.5 No 0.2 99.0 0.2 8.1 No 99.0 0.5 No 99.7 Fold back "Side Effects" branch: ( * 0.2) + ( * 99.0) = 98.9976288 8.1 0.5 99.3477152 98.9976288 No 99.7 0.5 99.6978016 Fold back "No Side Effects" branch: ( * 8.1) + ( * 99.7) = 99.6978016 Fold back "" branch: (0.5 * 98.9976288) + (0.5 * 99.6978016) = 99.3477152 13

Decision Tree 7 Average Out and Fold Back Average Out N o prophylaxis 0.003000 99.73 utiles N o 0.997000 8.60 utiles 100.00 utiles (Probability * Outcome Value) N o prophylaxis : 99.73 utiles 0000 99.35 utiles N o side effects 0000 99.00 utiles N o 99.70 utiles N o 0.20 utiles 99.00 utiles 8.10 utiles 99.70 utiles + (Probability * Outcome Value) Expected Value Fold Back Decision Tree 8 Path Probability 0.003 No 0.997 No No 8.6 100 0.2 99.0 8.1 99.7 Path Probability 0.003 0.997 x = 0.000012 x = 0.499988 x = 0.000012 x = 0.499988 0.003 No 0.997 No No EV node = Σ (outcome value) x (path probability) EV = (8.6 x 0.003) + (100 x 0.997) = 99.73 EV = (0.2 x 0.000012) + (99.0 x 0.499988) + (8.1 x 0.000012) + (99.7 x 0.499988) = 99.35 8.6 100 0.2 99.0 8.1 99.7 14

Path Probability What does this mean? For each outcome, multiply all the branch probabilities together and then multiply the result times the outcome value For each decision branch, sum the products from the calculation described above The expected value of choosing no prophylaxis is 99.73. The expected value of choosing prophylaxis is 99.35. Steps in Decision Analysis Decision Tree 9 1. Imagine the model, and draw the tree 2. Identify the probabilities 3. Identify the outcome values 4. Calculate expected values 5. Perform sensitivity analyses p=0.003 Reduce=0.008 p No # # p*reduce No # p*reduce No # 8.6 100 0.2 99.0 8.1 99.7 15

ue (utiles) Expected Valu Sensitivity Analysis on Probability of Without 100.10 99.90 99.70 99.50 99.30 99.10 98.90 98.70 98.50 98.30 98.10 0 0.004 0.008 0.012 0.016 0.02 Probability of without prophylaxis No prophylaxis Probability of without prophylaxis = 0.007 EV = 99.34 utiles CDC Case-Control Study: 31 Cases, 679 Controls Risk Factor Adjusted Odds 95% CI Ratio Deep Injury* 16.1 6.1-44.6 Visible blood from donor 52 5.2 18 1.8-17.7 177 patient on device Needle in donor patient s 5.1 1.9-14.8 vein or artery Terminal illness in donor 6.4 2.2-18.9 * As opposed to superficial injury (scratch, no blood) or moderate injury (skin penetrated and blood appeared). Sensitivity Analysis on Probability of and Reduction in p by drugs Reduction in p by drugs 0.30 0.22 015 0.15 0.08 0.00 0.000 0.003 0.005 0.007 0.010 Probability of CDC Recommendations Two Drugs Zidovudine, 600 mg daily, given BID or TID Lamivudine, 150 mg twice daily Other options Three Drugs Add Indinavir, 800 mg Q 8h on an empty stomach, and drink 1.5 L of water daily Other options 16

Percutaneous Injuries Outcome is Cost Less Severe Injury Donor neg Not warranted Donor unk Generally not warranted Class 1 donor Recommend 2 drugs Class 2 donor Recommend 3 drugs More Severe Injury Class 1 donor Recommend 3 drugs Otherwise, same recommendations 0.003 No # # No # No # $100,000 0 $101,100 $1,100 $101,000 $1,000 Outcome is Cost Incremental Cost-Effectiveness Ratio 0.003000 $300.00 No 0.997000 : $1,052.40 0000 $1,052.40 0000 $1,102.40 No $1,002.40 No $100,000.00 $0.00 $101,100.00; 100 00; P = 0.000012 000012 $1,100.00; P = 0.499988 $101,000.00; P = 0.000012 $1,000.00; P = 0.499988 (Cost of A) - (Cost of B) ------------------------------------------------ (Effectiveness of A) - (Effectiveness of B) 17

No Dominates Choice Cost Effectiveness No $300.00 99.73 utiles Disadvantages of Decision Analysis Time consuming Results difficult to explain Methods not well understood d or trusted by policy makers $1052.40 99.35 utiles Advantages of Decision Analysis Forces a systematic examination of the problem Forces the assignment of explicit values Controls complexity and thus avoids processing errors How to Use Decision Analysis To organize the issues for traditional decision making To identify a critical element for intensive study To provide information (not answers) for decision making 18

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