The impact of a decision aid about heart disease prevention on patients' discussions with their doctor and their plans for prevention: a pilot randomized trial.
BACKGROUND
Low utilization of effective coronary heart disease (CHD) prevention strategies may be due to many factors, but chief among them is the lack of patient involvement in prevention decisions. We undertook this study to test the effectiveness of an individually-tailored, computerized decision aid about CHD on patients' discussions with their doctor and their plans for CHD prevention.


METHODS
We conducted a pilot randomized trial in a convenience sample of adults with no previous history of cardiovascular disease to test the effectiveness of an individually-tailored, computerized decision aid about CHD prevention against a risk factor list that patients could present to their doctor.


RESULTS
We enrolled 75 adults. Mean age was 53. 59% were female, 73% white, and 23% African-American. 66% had some college education. 43% had a 10-year CHD risk of 0-5%, 25% a risk of 6-10%, 24% a risk of 11-20%, and 5% a risk of > 20%. 78% had at least one option to reduce their CHD risk, but only 45% accurately identified the strategies best supported by evidence. 41 patients received the decision aid, 34 received usual care. In unadjusted analysis, the decision aid increased the proportion of patients who discussed CHD risk reduction with their doctor from 24% to 40% (absolute difference 16%; 95% CI -4% to +37%) and increased the proportion who had a specific plan to reduce their risk from 24% to 37% (absolute difference 13%; 95% CI -7% to +34%). In pre-post testing, the decision aid also appeared to increase the proportion of patients with plans to intervene on their CHD risk (absolute increase ranging from 21% to 47% for planned medication use and 5% to 16% for planned behavioral interventions).


CONCLUSIONS
Our study confirms patients' limited knowledge about their CHD risk and effective risk reduction options and provides preliminary evidence that an individually-tailored decision aid about CHD prevention might be expected to increase patients' discussions about CHD prevention with their doctor and their plans for CHD risk reduction. These findings should be replicated in studies with a larger sample size and patients at overall higher risk of CHD.
Sheridan
Stacey L
SL
Division of General Medicine and Clinical Epidemiology, University of North Carolina, Chapel Hill, NC, USA. sls593@med.unc.edu
Shadle
John
J
Simpson
Ross J
RJ
Pignone
Michael P
MP
D000328:Adult; D001741:Black or African American / Q000523:psychology*; D000368:Aged; D002318:Cardiovascular Diseases / Q000208:ethnology / Q000517:prevention & control*; D003142:Communication; D003658:Decision Making, Computer-Assisted; D003661:Decision Support Techniques; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009657:North Carolina; D010358:Patient Participation; D010817:Physician-Patient Relations; D010865:Pilot Projects; D017064:Process Assessment, Health Care; D018570:Risk Assessment; D012307:Risk Factors; D011795:Surveys and Questionnaires; D044465:White People / Q000523:psychology*