M-3 IMPROVING PATIENT PARTICIPATION IN DECISION MAKING FOR ATRIAL FIBRILLATION

Wednesday, October 26, 2011: 10:45 AM
Grand Ballroom EF (Hyatt Regency Chicago)
(DEC) Decision Psychology and Shared Decision Making

Liana Fraenkel, MD, MPH, Yale School of Medicine, New Haven, CT and Terri Fried, MD, Yale School of Medicine, West Haven, CO

Purpose: Guidelines recommend that treatment decisions for nonvalvular atrial fibrillation (NVAF) incorporate patient preferences. We designed a multicomponent decision tool to inform patients of their individual risks of stroke and bleed over a meaningful time period (5 years), assist patients in clarifying their priorities, and to facilitate patient-physician communication.

Methods: We conducted a pilot, clustered randomized controlled trial, in which patients assigned to one group of providers completed the decision tool before seeing their primary care physician and patients assigned to a second group received usual care. Data were collected pre- and post visit to assess outcomes. Visits were audiotaped. The primary outcome variables were the Informed and Values Clarity subscales of the low-literacy version of the Decisional Conflict Scale 6. Secondary outcomes were: knowledge, anxiety, worry, rationale for preferred treatment, and discussion of NVAF-related outcomes. Between group differences were measured using a linear regression model which included sociodemographic characteristics, quality of life, and baseline scores. A sample size of 135 was calculated assuming, Type 1 error of 0.05, power of 0.80, two-tailed, an effect size (Cohen's d) of 0.5 after inflating the initial estimate by 5% for possible missing values.

Results: 69 patients were enrolled in the intervention group and 66 in the control group. Participants in the intervention group had lower scores on the Informed [11.9 (-21.1, -2.7)] and Values Clarity subscales [-14.6 (-22.6, -6.6)]. Participants in the intervention group were more likely to be able to name the medications for reducing stroke risk (61% vs 31%, p<0.001) and to know their side effects (49% vs 37%, p=0.07), although the latter did not reach statistical significance. The risk of stroke was discussed more frequently in the intervention than control group (71% vs 12%, p<0.0001), as was the risk of bleed (71% vs 21%, p<0.0001). Between groups differences for remaining outcomes are presented in the table.

Conclusion: The tool was effective at improving perceived knowledge and value clarity and at increasing physician-patient communication.
 

Intervention (mean)

Control (mean)

Difference (95% CI)

P-Value

Accuracy: stroke risk

9.1

14.2

-5.2 (-1.9, -8.4)

<.001

Accuracy: bleeding risk

8.7

13.1

-4.4 (1.4, -7.5)

<.001

Anxiety

13.0

13.4

-0.38 (-1.4, .67)

0.46

Worry: stroke risk

1.8

1.6

0.18 (-0.31, .66)

0.47

Worry: bleeding risk

1.5

1.9

-0.43 (-1.1, .29)

0.24