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

AbstractBackgroundLow 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.MethodsWe 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.ResultsWe 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).ConclusionOur 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. Trial Registration: ClinicalTrials.gov NCT00315978

[1]  R. Jung,et al.  Controlled trial of effect of documented cardiovascular risk scores on prescribing , 2003, BMJ : British Medical Journal.

[2]  S H Kaplan,et al.  Patients' participation in medical care: effects on blood sugar control and quality of life in diabetes. , 1988, Journal of general internal medicine.

[3]  Celette Sugg Skinner,et al.  How effective is tailored print communication? , 1999, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[4]  A. Folsom,et al.  Beliefs among black and white adults about causes and prevention of cardiovascular disease: the Minnesota Heart Survey. , 1988, American journal of preventive medicine.

[5]  James G. Dolan,et al.  Randomized Controlled Trial of a Patient Decision Aid for Colorectal Cancer Screening , 2002, Medical decision making : an international journal of the Society for Medical Decision Making.

[6]  H. Welch,et al.  Women's understanding of the mammography screening debate. , 2000, Archives of internal medicine.

[7]  S. Kaplan,et al.  Assessing the Effects of Physician-Patient Interactions on the Outcomes of Chronic Disease , 1989, Medical care.

[8]  Jane Kim,et al.  Development and initial testing of a computer-based patient decision aid to promote colorectal cancer screening for primary care practice , 2005, BMC Medical Informatics Decis. Mak..

[9]  A. Qureshi,et al.  Heart to heart. , 1989, Nursing standard (Royal College of Nursing (Great Britain) : 1987).

[10]  V. Strecher,et al.  Changing inaccurate perceptions of health risk: results from a randomized trial. , 1995, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[11]  S. De Geest,et al.  Adherence to Long-Term Therapies: Evidence for Action , 2003, European journal of cardiovascular nursing : journal of the Working Group on Cardiovascular Nursing of the European Society of Cardiology.

[12]  V. Strecher,et al.  Do tailored behavior change messages enhance the effectiveness of health risk appraisal? Results from a randomized trial. , 1996, Health education research.

[13]  S. Lovibond,et al.  Changing coronary heart disease risk-factor status: The effects of three behavioral programs , 1986, Journal of Behavioral Medicine.

[14]  D. Singer,et al.  National patterns in the treatment of smokers by physicians. , 1998, JAMA.

[15]  T. Pearson New Tools for Coronary Risk Assessment: What Are Their Advantages and Limitations? , 2002, Circulation.

[16]  T. Pearson,et al.  The lipid treatment assessment project (L-TAP): a multicenter survey to evaluate the percentages of dyslipidemic patients receiving lipid-lowering therapy and achieving low-density lipoprotein cholesterol goals. , 2000, Archives of internal medicine.

[17]  Tom Fahey,et al.  Evaluation of computer based clinical decision support system and risk chart for management of hypertension in primary care: randomised controlled trial , 2000, BMJ : British Medical Journal.

[18]  John E. Ware,et al.  Expanding Patient Involvement in Care , 1985 .

[19]  G. Harewood,et al.  A Videotape-Based Decision Aid for Colon Cancer Screening , 2000, Annals of Internal Medicine.

[20]  V. Pavlik,et al.  Characteristics of patients with uncontrolled hypertension in the United States. , 2001, The New England journal of medicine.

[21]  John B. Schorling,et al.  Does informed consent alter elderly patients’ preferences for colorectal cancer screening? , 2007, Journal of General Internal Medicine.

[22]  Stacey L. Sheridan,et al.  Heart to Heart: a computerized decision aid for assessment of coronary heart disease risk and the impact of risk-reduction interventions for primary prevention. , 2004, Preventive cardiology.

[23]  J. Sloan,et al.  Decision making during serious illness: what role do patients really want to play? , 1992, Journal of clinical epidemiology.

[24]  R. Kravitz,et al.  Individualized patient education and coaching to improve pain control among cancer outpatients. , 2001, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[25]  R. Thomson,et al.  Decision aids for people facing health treatment or screening decisions. , 2003, The Cochrane database of systematic reviews.

[26]  Gavin Harewood,et al.  Videotape-Based Decision Aid for Colon Cancer Screening , 2001, Annals of Internal Medicine.

[27]  E. Ford,et al.  Cardiovascular health knowledge in the United States: findings from the National Health Interview Survey, 1985. , 1991, Preventive medicine.

[28]  S. Kaplan,et al.  Expanding patient involvement in care. Effects on patient outcomes. , 1985, Annals of internal medicine.

[29]  J B McKinlay,et al.  Accuracy of perceptions of heart attack risk: what influences perceptions and can they be changed? , 1989, American journal of public health.

[30]  Elizabeth Drake,et al.  Development and Preliminary Testing of a Patient Decision Aid to Assist Pharmaceutical Care in the Prevention of Cardiovascular Disease , 2004, Pharmacotherapy.

[31]  Stacey L Sheridan,et al.  Shared decision making about screening and chemoprevention. a suggested approach from the U.S. Preventive Services Task Force. , 2004, American journal of preventive medicine.

[32]  P. Burkhart,et al.  Adherence to long-term therapies: evidence for action. , 2003, Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing.

[33]  T. Marteau,et al.  The psychological impact of cardiovascular screening and intervention in primary care: a problem of false reassurance? British Family Heart Study Group. , 1996, The British journal of general practice : the journal of the Royal College of General Practitioners.

[34]  D. Levy,et al.  Prediction of coronary heart disease using risk factor categories. , 1998, Circulation.