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Electronic Diaries: Impact on Drug Development Saul Shiffman, Ph.D. Chief Science Officer invivodata, inc. Advisory Committee for Pharmaceutical Science 19-20 October, 2004
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2 Outline 25% of clinical trials use patient diaries Paper diaries n Slow completion of clinical trials n Fail to meet FDA data standards Electronic diaries n Enhance efficiency and speed trials n Meet FDA data standards n Allow smaller, more efficient studies FDA can meet the goals of Critical Path Initiative by: n Applying standards for data quality to all diaries n Removing doubt about acceptance of electronic diary data
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3 Patient Reported Outcomes (PROs) Subjective states n e.g., pain, dizziness Symptoms observed by the patient n e.g., asthma attacks, bowel movements Collected in 78% of Phase I-IV trials n DataEdge, 1994; RB Webber Included in 31% of approved NDAs n 1997-2001; Willke, Burke, & Erickson, 2002 Diaries used in ~ 25% of trials (Phase II-IV) n DataEdge, 1998-1999
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4 Paper Diaries: Inefficient, Poor Data Quality Paper diaries n Up to 80% of paper diary cards contain significant errors (Quinn et al., 2000) n Slows database lock eDiary n 98% reduction in data cleaning n Efficient data management –On-line data edits n Accelerated data lock: –eDiaries: 1 day after LPO –Paper diaries: 4+ weeks after LPO
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5 Paper: Apparent Compliance Based on patient time/date entries Stone et al, BMJ, 2002 Stone et al, CCT, 2003
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6 Paper: Test / Verify Apparent Compliance Verify patient- entered completion times
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7 Paper: Actual Compliance Based on instrumented paper diary Observed back-filling, hoarding, forward-filling Stone et al, BMJ, 2002 Stone et al, CCT, 2003
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8 eDiary: Actual Compliance Based on electronic time stamp Stone et al, BMJ, 2002 Stone et al, CCT, 2003
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9 Contribution of eDiary to Clinical Development Efficiency Decreases error n Avoidance of back-filling, faked data Yields more definitive indication of drug effects n Increased power n Lower error rate Compared similar studies with paper diary vs. eDiary
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10 Reduced Noise, Increased Validity = More Efficient Clinical Development eDiaries yielded (McKenzie et al, 2004; Pearson et al, 2004) : 33% reduction in variability = 50% reduction in sample size Smaller trials Fewer Trials More efficient, faster, cheaper clinical development
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11 Science, Technology & Regulation are In Place & Proven Science: Improves validity, enhances power; >100 published studies Technology: Over 18 years field experience in clinical research Regulation: ALCOA, predicate rules n Approved NDA (Allergan Acular LS)
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12 What Is Needed? Apply data quality regulations consistently to paper and eDiary data Promote adoption of modern, efficient, scientifically valid methods for collection of PROs Make clear statement RE: acceptance of electronic diary data (remove FUD)
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13 Conclusions Paper diaries n Slow completion of clinical trials n Fail to meet FDA data standards Electronic diaries n Enhance efficiency and speed trials n Meet FDA data standards n Allow smaller, more efficient studies FDA can meet the goals of Critical Path Initiative by: n Applying standards for data quality to all diaries n Removing doubt about acceptance of electronic diary data
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14 Innovation “That it will ever come into general use, notwithstanding its value, is extremely doubtful because its beneficial application requires much time and gives a good bit of trouble, both to the patient and to the practitioner because its hue and character are foreign and opposed to all our habits and associations.” The Source: The London Times, 1834 The Subject: The Stethoscope Reporting Platforms
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16 ALCOA and Diaries eDiariesPaper Diaries A ttributable Patient passwords, code, and device identification Handwriting? L egibility Digital recording, human-readable output Depends upon nature of diary and subject C ontemporaneous Time/date stamping; enforcement of protocol sequencing Cannot verify; no enforcement of protocol sequencing. O riginal Patients cannot change the data once recorded Not clear if changes made to data. A ccurate Time/date stampingCannot confirm when completed * April 1999 FDA Guidance for Computerized Systems Used in Clinical Trials
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