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Ilana F. Gareen, Ph.D. Brown University Center for Statistical Sciences [email protected] u
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Page 1: Ilana F. Gareen, Ph.D. Brown University Center for Statistical Sciences igareen@stat.brown.edu.

Ilana F. Gareen, Ph.D.Brown University

Center for Statistical Sciences

[email protected]

Page 2: Ilana F. Gareen, Ph.D. Brown University Center for Statistical Sciences igareen@stat.brown.edu.

• Primary Aim • Compare outcomes of participants with symptoms of stable angina undergoing CCTA as initial

method of CAD diagnosis (Group A) to SPECT MPI (Group B) as a guide to OMT.

• Secondary Aims• To evaluate the ability of available prognostic indices to predict revascularization or MACE using CCTA

information and to develop new indices using the RESCUE trial data.

• To determine the cost, effectiveness, and incremental cost-effectiveness of CCTA versus SPECT MPI in the evaluation of participants with symptoms of stable angina.

• To compare angina symptoms and self-reported health status of participants with symptoms of stable angina undergoing CCTA as initial method of CAD diagnosis (Group A) to SPECT MPI (Group B) as a guide to OMT.

Page 3: Ilana F. Gareen, Ph.D. Brown University Center for Statistical Sciences igareen@stat.brown.edu.
Page 4: Ilana F. Gareen, Ph.D. Brown University Center for Statistical Sciences igareen@stat.brown.edu.
Page 5: Ilana F. Gareen, Ph.D. Brown University Center for Statistical Sciences igareen@stat.brown.edu.
Page 6: Ilana F. Gareen, Ph.D. Brown University Center for Statistical Sciences igareen@stat.brown.edu.
Page 7: Ilana F. Gareen, Ph.D. Brown University Center for Statistical Sciences igareen@stat.brown.edu.
Page 8: Ilana F. Gareen, Ph.D. Brown University Center for Statistical Sciences igareen@stat.brown.edu.
Page 9: Ilana F. Gareen, Ph.D. Brown University Center for Statistical Sciences igareen@stat.brown.edu.

Triggering Medical Record Abstraction

• Medical chart abstraction will be triggered by participant responses during telephone follow up and by initial CCTA and SPECT MPI results.

Page 10: Ilana F. Gareen, Ph.D. Brown University Center for Statistical Sciences igareen@stat.brown.edu.

Triggering Medical Record Abstraction

• All records relating to the following will be abstracted:• MACE/revascularization events;• Medical care for cardiac issues;• Medical care for OMT;• Medical care related to incidental findings on

the CCTA or SPECT MPI examinations.

Page 11: Ilana F. Gareen, Ph.D. Brown University Center for Statistical Sciences igareen@stat.brown.edu.

Centralized Process

• HIM staff at the ACR will collect, prepare records for shipment to the centralized abstraction facility

• Medical records abstraction and coding will be performed by a single central medical record abstraction company.

• Centralizing the abstraction process with a single group of abstractors simplifies quality control, ensuring consistent and reliable coding of medical conditions and care.

Page 12: Ilana F. Gareen, Ph.D. Brown University Center for Statistical Sciences igareen@stat.brown.edu.

Collection of Abstraction Data

• All abstraction will be done directly onto forms on laptop computers. These computer forms incorporate range checks and International Classification of Disease (ICD) and Current Procedural Terminology (CPT) look-ups which ensure that data are as error-free as possible.

• The data on the laptops are routinely backed up and uploaded to the central computer at the conclusion of the abstraction assignment at each site.

Page 13: Ilana F. Gareen, Ph.D. Brown University Center for Statistical Sciences igareen@stat.brown.edu.
Page 14: Ilana F. Gareen, Ph.D. Brown University Center for Statistical Sciences igareen@stat.brown.edu.

Patient Reported Outcomes

• The importance of patient self-reported outcomes is widely recognized in the literature and by the US Food and Drug Administration.

• Global measures of health, such as the 36-Item Short Form Survey Instrument, version 2 (SF-36 v2), are useful to compare participant health status across studies of different health conditions as well as to derive health utilities for use in cost-effectiveness analyses.

• Disease-specific measures of participant health status, such as the Seattle Angina Questionnaire (SAQ), are useful to collect detailed information regarding the specific disease outcome of interest.

Page 15: Ilana F. Gareen, Ph.D. Brown University Center for Statistical Sciences igareen@stat.brown.edu.

Quality of Life Measurement Tools

• Both the SF-36 and the SAQ have been used to assess health-related QoL in patients with angina and have been demonstrated to be internally consistent with good test-retest reliability.

• Selected subscales from both tools have been correlated with patient angina severity measured using the CCS Classification

• Both of these tools have been used to measure participant health status in a prior large clinical trial of PCI and OMT interventions for patients with angina.

Page 16: Ilana F. Gareen, Ph.D. Brown University Center for Statistical Sciences igareen@stat.brown.edu.
Page 17: Ilana F. Gareen, Ph.D. Brown University Center for Statistical Sciences igareen@stat.brown.edu.
Page 18: Ilana F. Gareen, Ph.D. Brown University Center for Statistical Sciences igareen@stat.brown.edu.
Page 19: Ilana F. Gareen, Ph.D. Brown University Center for Statistical Sciences igareen@stat.brown.edu.

Administration of QoL Tools:

• Administered at the sites at the Baseline examination prior to randomization.

• Administered by the ACRIN Outcomes and Economics Unit (AOEU) located within the ACRIN Biostatistics Center at the Brown University Center for Statistical Sciences at 12 months post-randomization.

Page 20: Ilana F. Gareen, Ph.D. Brown University Center for Statistical Sciences igareen@stat.brown.edu.

Ensuring Completion of QoL Tools:

• The site will fax Participant Contact Information Forms to the AOEU following the baseline visit.

• AEOU personnel will mail copies of QoL tools to participants along with pre-addressed, stamped envelopes for return mailing to the AOEU. Participants will be provided with a toll-free number (which is answered by the AOEU RA) should they require assistance with reading questionnaires.

Page 21: Ilana F. Gareen, Ph.D. Brown University Center for Statistical Sciences igareen@stat.brown.edu.

Ensuring Completion of QoL Tools:

• If the questionnaires are not received at the AOEU within 10 working days of the date of the mailing, an AOEU RA will telephone the participant• To determine whether the questionnaires were received

• If the participant has the questionnaires, the participant will be asked to complete and return them.

• If the participant has not received the questionnaires, the AOEU RA will confirm the delivery address and send the tools to the participant.

Page 22: Ilana F. Gareen, Ph.D. Brown University Center for Statistical Sciences igareen@stat.brown.edu.

Ensuring Completion of QoL Tools:

• If questionnaires are not returned within 20 working days thereafter, the AOEU RA will attempt to complete the questionnaires in a telephone interview. • Telephone interviews will be conducted only as a final measure

to avoid any biases introduced by differences in the method of administration of the questionnaires, and the mode of administration of all such questionnaires will be documented in the trial database.

• The AOEU RA will not attempt to interpret a question; training will be provided to help ensure that the AOEU RAs facilitate completion of the QoL questionnaires in a standardized fashion.