KER UNIT - Mayo Clinic Shared Decision Making National

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The Chest Pain Choice

Decision Aid: a Randomized

Trial

ISDM Conference

Maastricht, June 2011

E Hess, M. Knoedler, N. Shah, J

Kline, M Breslin, M Branda, L

Pencille, B Asplin, D Nestler, A

Sadosty, H. Ting, M. Montori

Knowledge and Evaluation Research Unit

Mayo Clinic College of Medicine

MN

Foundation for Informed Medical

Decision Making

AHA Fellow-to-Faculty Transition Award

Background

• Chest pain 2 nd most common complaint in U.S. Emergency

Departments

> 6 million patients annually

• 4% of ACS inappropriately discharged from ED

Pope, NEJM, 2000

• Large #’s of low risk patients admitted for prolonged observation and cardiac stress testing

• False positive test results, unnecessary procedures, cost

Background

• Kline and colleagues developed a quantitative pretest probability calculator

Kline JA, BMC Med Informed Decision Making, 2005

• Prospectively validated QPTP calculator in 3

Academic EDs

Mitchell AM, Kline JA, Annals of Emergency Medicine, 2006

• Demonstrated efficacy of QPTP calculator in

RCT

Kline JA, Annals of Emergency Medicine, 2009

4

Background

Decision Aids:

 knowledge (by 15 of 100, 95% confidence interval 12-19%)

 % patients with realistic perceptions of the chances of benefits and harms by 60% (40-

90%)

 uncertainty related to feeling uninformed (by 8 of 100 (5-12)

 % passive patients in decision making by 30% (10-50%)

 % remaining undecided after counseling by 57% (30-70%)

O’Connor, Cochrane Database of Systematic Reviews, 2009

Hypothesis

Facilitating a patient-centered discussion regarding the short-term risk for ACS in otherwise low-risk chest pain patients will:

 patient knowledge

 patient engagement

Safely  resource use

Objectives

(1) To design a DA for use in patients at low risk for ACS

(2) To test the DA in a randomized trial

Methods

Decision Aid Design

• Incorporate QPTP output in a literacy-sensitive DA, describe rationale of evaluation, list management options in value-neutral fashion

• Iteratively test DA in patient encounters

• Refine DA based on input from patients, clinicians, and investigative team thematic saturation

Breslin, Mullan, Montori Patient Educ Counseling 2008

Methods: Clinical Trial

• Design: single-center; allocation concealed by password-protected, web-based randomization

• Setting: Academic ED in Rochester, MN with

73,000 annual patient visits; 10-bed observation unit

• Eligibility:

–Included: Adults with chest pain considered for EDOU admission

–Excluded: +troponin, known CAD, cocaine use within

72 hrs, unable to provide informed consent or use decision aid

Outcome measures

• Decision quality

– Patient knowledge**

–Degree of patient participation (OPTION scale)

–Decisional conflict (DCS)

–Trust in physician (TPS)

• Quantitative

–Safety endpoint: 30-day MACE*

–Resource use

• Rate of cardiac stress testing in EDOU

• 30-day rate of stress testing

Statistical analysis

• Power: 200 patients

–90% power to detect > 25% ↑ in mean knowledge

–95% power to detect a 20% ↓ in proportion of patients who underwent stress testing in EDOU

• Hypothesis testing: chi-square, Fisher’s exact, t-test or Wilcoxon rank-sum as appropriate

• Intention-to-treat principle followed

Results

Baseline Characteristics

P-value Variable

Mean age

Female

HTN

Hyperlipidemia

Family history of premature CAD

Mean PTP of ACS

Intervention Control

(n=101)

54.5

59%

45%

45%

14%

3.2%

(n=103)

54.9

61%

28%

39%

12%

3.3%

0.81

0.97

0.01

0.46

0.61

0.81

Knowledge and Participation

Variable Intervention

(n=101)

Control

(n=103)

6 knowledge questions

OPTION score

3.6

51.4

3.0

32

Mean diff

(95% CI)/ p-value

0.67

(0.34, 1.0)

< 0.0001

Decisional Conflict* and

Physician Trust

Variable Intervention Control

(n=101)

22.3

(n=104)

43.3

Decisional conflict (DCS)

Trust in physician (TPS)

83.4

79.3%

Mean diff

(95% CI)

-13.6

(-19.1, -8.1)

4.1

(-1.4, 9.6)

*Conflict related to feeling uninformed

Acceptability to Patients

P-value Variable Intervention

Amount of information

(n=101)

93%

(just right)

Clarity of information

(extremely clear)

Helpfulness

(extremely helpful)

Would recommend to others

62%

53%

75%

Control

(n=104)

80%

37%

34%

45%

0.0051

<0.0001

<0.0001

<0.0001

Provider experience

Variable Intervention

(n=101)

59%

Control

(n=104)

20% Strongly recommend way information was shared

Want to present other diagnostic information in same way

64% 28%

P-value

<0.0001

<0.0001

Safety

Variable

Revascularization

MI

Death

MACE within 30 days of discharge

Intervention Control

(n=101)

3%

1%

0

0

(n=104)

2%

0%

0

0

P-value

0.68

0.49

NA

NA

Resource use

Variable

Stress test in

EDOU

Stress test performed within 30 days

Follow-up as outpatient

Intervention

(n=101)

58%

75%

39%

Control

(n=104)

77%

91%

9%

P-value

<0.0001

0.02

<0.0001

Limitations

• Single center

• Insufficient power to demonstrate safety

Conclusions

Summary of impact of DA

Variable

Patient knowledge

Patient participation

Decisional conflict

Direction of difference

Physician Trust

Acceptability

Safety

Resource use

Lessons learned

• Integration in process of care challenging

• Care process redesign required??

• Feasibility of definitively demonstrating patient safety?

• Use of DA in emergency department requires reliable access to outpatient follow-up

Future Directions

• Identification of factors that promote or inhibit uptake of SDM in acute setting

• Prospective multicenter randomized trial

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