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Basic Data Collection Elements in Cancer Clinical Trials

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Basic Data Collection Elements in Cancer Clinical Trials Julia Challinor, RN, PhD University of California, San Francisco INCTR Annual Conference – PowerPoint PPT presentation

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Title: Basic Data Collection Elements in Cancer Clinical Trials


1
Basic Data Collection Elements in Cancer
Clinical Trials
  • Julia Challinor, RN, PhD
  • University of California, San Francisco
  • INCTR Annual Conference
  • 10-12 December 2005
  • Chennai, India

2
U.S. National Cancer Institute Cancer Therapy
Evaluation Program (CTEP) General Guidelines
  • Do not abbreviate
  • For example drug names, can be misinterpreted
  • Use methotrexate not MTX
  • Do not use brand names
  • Generic names are standardized
  • Extraneous information is not helpful
  • If using only injectable drugs, do not include
    instructions for oral doses

(http//ctep.cancer.gov/handbook/append_16.html,
retrieved 3/8/04)
3
CTEP
  • Use consistent notation
  • Use EITHER qid OR Q6h do not use both
  • Spell out the word units
  • A u can look like a zero
  • Never put a zero after a decimal point
  • Use 2 NOT 2.0
  • A decimal point can be missed and result in a
    10-fold dose increase

(http//ctep.cancer.gov/handbook/append_16.html,
retrieved 3/8/04)
4
CTEP
  • If using units that are less than the number one,
    then a zero should precede the decimal point
  • 0.50mg should be used, NOT .50mg
  • Otherwise the decimal might be missed and result
    in a 10-fold dose increase
  • Calculation of body weight should be specified
    and formula used for calculation should be
    included
  • Identify if actual, ideal or lean body weight is
    used to calculate drug dosage

(http//ctep.cancer.gov/handbook/append_16.html,
retrieved 3/8/04)
5
CTEP
  • Specify total number of days a drug is given and
    include cycle days when treatment occurs.
  • Specify contiguous treatment days and
    non-contiguous treatment days
  • Specify cycle (or course) duration
  • Clearly identify the duration of the
    administration of the drug
  • If given more than once a cycle, clearly describe
    the cycle days when the drug is given

(http//ctep.cancer.gov/handbook/append_16.html,
retrieved 3/8/04)
6
CTEP
  • Be clear about total dose per treatment course
  • Use total dose as function of body weight or
    surface area
  • If appropriate, describe administration starting
    days and times.
  • Using a 24 hour clock notation, i.e. 1430 avoids
    errors using am and pm.

(http//ctep.cancer.gov/handbook/append_16.html,
retrieved 3/8/04)
7
Vocabulary
  • Toxicity
  • Toxicity is NOT clearly defined by regulatory
    organizations
  • Toxicity has been described as an adverse event
    that has an attribution (the relationship to
    investigational agent) of possible, probable or
    definite
  • If the study specifies using a specific Adverse
    Event criteria (i.e. NIH) do NOT change the
    criteria during the course of data collection

(http//ctep.cancer.gov/handbook/append_16.html,
retrieved 3/8/04)
8
Adverse Event (AE)
  • Definition
  • A negative experience encountered by an
    individual during the course of a clinical trial,
    that is associated with the drug. An AE can
    include previously undetected symptoms, or the
    exacerbation of a pre-existing condition. When
    an AE has been determined to be related to the
    investigational product, it is considered an
    Adverse Drug Reaction.
  • Ginsberg, D, ( 2002) The Investigators Guide to
    Clinical Research, 3rd ed., p 283

9
Adverse Event (AE) Terminology
  • Grading is from 1 to 5
  • Grade 1 Mild AE
  • Grade 2 Moderate AE
  • Grade 3 Severe AE
  • Grade 4 Life-threatening or disabling AE
  • Grade 5 Death related AE

10
Adverse Event Grading Example
Adverse Event Short Name Grade 1 Grade 2 Grade 3 Grade 4 Grade 5
Neutrophils/ granulocytes (ANC/AGC) Neutro-phils ltLLN-1500/mm3 ltLLN-1.5x109/L lt1500-1000/mm3 lt1.5-1.0x109/L lt1000-500/mm3 lt1.0-0.5x109/L lt500/mm3 lt0.5x109/L Death
ANC is Absolute Neutrophil Count LLN is Lower
Limit of Normal
11
Potential Problems
  • Terms must be defined in study PROTOCOL
  • Examples
  • Date of Registration
  • Is this the first day the patient was seen?
  • Is this the date they were given a medical record
    number?
  • Is this the date they were enrolled in the study?

12
Potential Problems
  • Date of Informed Consent
  • Is this the date the patient/parent signed the
    consent?
  • Date of Enrollment
  • Is this the date the patient signed the consent?
  • Is this the date the patient began therapy?

13
Potential Problems
  • Date of Birth
  • This is NOT the age of the child
  • The date of birth MUST be consistent
  • In the U.S. it is standard to use month/day/year
  • In Europe and Latin America it is standard to use
    day/month/year
  • Ideally, the data form or case report form will
    be designed with the format CLEARLY indicated
  • DOB (DD/MM/YYYY)
  • Best to use all 4 numbers for year, i.e. 1953, or
    2004

14
Potential Problems
  • Date Abandoned care
  • Missed one appointment?
  • Missed two appointments?
  • Refused treatment at diagnosis?
  • Went to a different center for treatment?
  • Disappeared for 2 months and then returned?

15
Potential Problems
  • Subject Identifiers (subject ID)
  • Many hospitals have their own patient
    identification numbers
  • Using the hospital patient identification number
    as the subject ID can provide a path back to the
    patient for verification of data entry if a
    future problem or question arises.

16
Classification
  • Disease classification should be standardized
    among protocol collaborators
  • Once a classification system has been selected,
    all participants should use identical diagnostic
    procedures as outlined in the study PROTOCOL

17
Empty Fields
  • If a data field is EMPTY then it is assumed that
    the data entry was incomplete and the event did
    NOT occur!
  • ALL fields should have data input
  • If the data is not applicable then it should be
    noted as N/A (or by the chosen notation for not
    applicable)
  • If the data is unknown then it should be noted
    as UNK (or by the chosen notation for unknown)

18
History Log
  • If there is a need to deviate from the case
    report form fields for ANY reason, there must be
    a history log that explains the reasoning.

19
Problems
  • Physicians using their own style to make
    clinical notes
  • Language is not uniform
  • Patient information detailed is different from
    physician to physician
  • Nutritionist uses different abbreviations for
    medical terms than nursing or physicians.

20
Problems
  • Just because the protocol states that a
    patient/subject should receive a specific
    chemotherapy/medication on a specific date within
    their cycle does NOT mean they received it!
  • the medication on that date
  • the dose specified on the protocol
  • the chemotherapy/medication AT ALL
  • e.g., physician orders are not the source
    document for chemotherapy received by patients in
    reality

21
Problems
  • NO white out
  • NO colored pens
  • NO pencil
  • NO invented vocabulary
  • NO acronyms or unique site specific abbreviations

22
Problems
  • Healthcare staff does not understand or believe
    in the importance of data collection
  • Too little time for careful data entry
  • Patient demands too high for good data collection
  • Charts are missing or moved
  • Temporary staff working on the oncology unit
  • Have not received training regarding clinical
    research protocol based treatment basics

23
Data is important, it helps us get from here
to.there!
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