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IIR 06-205
 
 
Evaluating a Preference-based Intervention for Increasing CRC Screening
Sarah T Hawley BA MPH PhD
Ann Arbor VA Medical Center
Ann Arbor, MI
Funding Period: April 2008 - March 2012

BACKGROUND/RATIONALE:
Colorectal cancer (CRC) is a significant and preventable disease, yet CRC screening remains one of the lowest quality indicators in the VA healthcare system. Moreover, a recent VA directive recommends that CRC screening among Veterans should be based on their preferences, given that there is insufficient evidence to support recommending one test. However the impact of such a preference-based strategy on important outcomes, including screening adherence and cost, is unknown.

OBJECTIVE(S):
The broad hypothesis of the proposed study is that helping Veterans clarify their CRC screening preferences will lead to increased adherence. The framework conceptualizes that preference clarification leads to more informed decision-making and, eventually, to better adherence with screening. The specific aims are: 1) To test the effectiveness of a preference-tailored (PT) vs. standard information (SI) intervention for increasing Veterans' CRC screening adherence; 2) To assess the impact of the intervention on informed decision making, knowledge and attitudes toward screening, decisional outcomes, and intention to get screened; and 3) To conduct a cost effectiveness analysis of the PT intervention for increasing CRC screening across the VA.

METHODS:
A randomized controlled trial of the PT vs. SI decision tool will be conducted in the Ann Arbor and Pittsburgh VA healthcare systems. The intervention is under development by the PI working with the Center for Health Communication Research at the University of Michigan. Eligible patients will be 500 (250 per group) Veterans between 50 and 79 who are due for CRC screening, and who have a primary care visit scheduled within the upcoming 4-6 weeks. Those at high risk (e.g., family or personal history of CRC) will be excluded. Providers will be informed of the study via regular mail and email, and given the chance to remove any potential participants from the contact list. Potential participants will be mailed an introductory letter, and those who do not opt-out will contacted by telephone. Participants will come to their primary care visit 40 minutes early, at which time they will complete informed consent. The intervention will be delivered via the Internet in the patient library, and participants will be randomized to the PT or SI arm at the time of log-in. Study measures are consistent with the conceptual framework and based on the Preventive Health Model. Preference information will be collected through the computer program. Secondary outcomes and independent variables will be collected via telephone survey 3 days following the intervention. Adherence to screening will be collected from medical charts at 12 months. CRC screening information in a sub-sample of Veterans not in either the PT or SI groups will also be collected to measure "usual care." Hypotheses related to each aim will be tested using multi-level modeling to control for between-provider effects. The overall hypothesis is that patients in the PT group will have higher rates of adherence to CRC screening at the 12 month follow-up point. Cost effectiveness analysis will determine whether a preference-based screening strategy could be cost effective for the VA healthcare system. The PI will work with the investigative team to dissmenate the results through local and national VA websites, publications and presentations.

FINDINGS/RESULTS:
No results at this time.

IMPACT:
The results will have important implications for improving the provision of patient-centered care in the VA healthcare system. The tool could be easily updated improve patiet satisfaction, informed decision making, and adherence to provider recommendations across the multitude of other preference-sensitive healthcare decisions affecting Veterans.

PUBLICATIONS:
None at this time.


DRA: Aging and Age-Related Changes, Chronic Diseases, Health Services and Systems
DRE: Communication and Decision Making, Prevention
Keywords: Behavior (patient), Cancer, Screening
MeSH Terms: none