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. Author manuscript; available in PMC: 2022 Feb 12.
Published in final edited form as: Pacing Clin Electrophysiol. 2022 Jan 13;45(2):274–280. doi: 10.1111/pace.14414

The Impact of Government-Mandated Shared Decision-Making for Implantable Defibrillators: A Natural Experiment

Birju R Rao 1, Faisal M Merchant 1, Eli R Abernethy 1, David H Howard 3, Daniel D Matlock 4, Neal W Dickert 1,2
PMCID: PMC8837710  NIHMSID: NIHMS1770787  PMID: 34843128

Abstract

Background:

In 2018, the Centers for Medicare and Medicaid Services (CMS) mandated that patients considering implantation of an implantable cardioverter-defibrillator (ICD) for primary prevention of sudden cardiac death undergo shared decision-making (SDM) using a decision-aid.

Objective:

To observe the impact of the CMS’s mandate on core measures of SDM using a natural experiment.

Research Design, Subjects, and Measures:

Patients who underwent implantation of a primary prevention ICD within the Emory Healthcare system between 2017-2019 (pre and post SDM mandate) were surveyed. Survey domains included knowledge about the ICD, decisional conflict, values-choice concordance, and engagement in decision-making. Patients who had an ICD implant after the mandate were also asked about their views of the decision aid. Responses of patients who had ICD implanted prior to the mandate were compared to those after the mandate using either student’s t-test or chi-squared tests.

Results:

Of 101 patients who completed the survey, 45 had an ICD placed before the mandate and 56 had an ICD placed after. There were no major differences between knowledge, decisional conflict, values choice concordance, or patient engagement. Compared to patients with ICDs placed before the mandate, patients with ICDs after the mandate were more likely to subjectively feel more informed about the benefits of the procedure but were less likely to be able to correctly identify the frequency of complications.

Conclusions:

Policy effects to promote SDM that solely focus on a decision-aid may not substantively impact patient centered care.

Introduction

Implantable cardioverter-defibrillators (ICD) effectively prevent sudden cardiac death in high-risk populations. However, ICD implantation may not be right for some eligible patients. ICDs do not enhance quality-of-life and entail risks of procedural complications or inappropriate shocks. Many patients also have a poor understanding of important risks and benefits of ICD implantation and tend to overestimate benefits and underestimate risks.13 In February 2018, the Centers of Medicare and Medicaid Services (CMS) mandated that physicians conduct and document a shared decision-making interaction using a patient decision aid (DA) for individuals referred for ICD implantation for primary prevention of sudden cardiac death.4

This mandate has been controversial5 for several reasons. First, many argue that a decision with such a positive balance of benefits in terms of mortality balanced with minimal procedural risks should not even be considered in an SDM framework. ICD implantation improves mortality, is guideline-recommended, and is a relatively safe outpatient procedure. Although the rate of long-term complications may be higher,6 procedural complications are rare.7 Second, CMS did not clarify how a DA should be used or what the intended outcome of the mandate really was. Third, while SDM may be conceptually appropriate for enhancing patient-centered care, the data on the impact of formal SDM processes for this decision were minimal at the time of the mandate.

Three years after enactment of this mandate, there remain questions about its real-world impact on patients, clinicians, and decisions. We utilized the natural experiment created by the SDM mandate to better understand how mandated DA use has impacted relevant domains of patients’ experiences and decisions.

Methods

Using the natural experiment created by the CMS mandate in February 2018, we surveyed patients who underwent initial implantation of a single- or dual-chamber ICD for primary prevention of sudden cardiac death between January 1, 2017, and December 31, 2019 within the Emory Healthcare system. Importantly, during this period, there were no other institutional changes to patient education. Surveys were administered by a single individual (E.A) via telephone between September 2020 and February 2021. Completion of the survey was voluntary, patients were compensated for their time, and the study was approved by the Emory University Institutional Review Board.

The pre-mandate group consisted of patients who had an ICD implanted prior to February 2018; the post-mandate group were patients with ICDs implanted after February 2018. The SDM interaction was performed by the cardiac electrophysiologist responsible for performing the ICD implantation procedure. The same DA (Appendix 1) was used at all sites.8 For outpatients, which account for 80-90% of encounters, the DA was provided at a preoperative clinic visit. The way the DA was incorporated into SDM was at the discretion of the treating physician.

The survey instrument was adapted from instruments that have been developed and validated for use in a multicenter trial evaluating SDM for ICD implantation (ClinicalTrials.gov identifier: NCT03374891). Survey questions explored several key SDM domains: knowledge about ICDs, decision conflict9, values choice concordance, and patients’ decision engagement. Post-mandate patients were asked about their experience with the patient DA. Age at implantation, history of ischemic or non-ischemic cardiomyopathy, and pre-procedural left ventricular ejection fraction were obtained from medical records.

Comparison of continuous baseline variables was performed with the Students’ t-test; categorical variables of survey questions were compared using either chi squared or Fisher’s exact tests. All analysis was done using SAS 9.4 (Cary, NC).

Results

A total of 369 patients with primary prevention ICD implants were identified, 191 pre-mandate and 186 post-mandate (Appendix 2). Of these, 100 patients were excluded due to invalid contact information (86) and death or disability (14). Of the remaining 269, 28 declined to participate, 140 did not respond, and 101 completed the survey (response rate of 38%). Forty-five patients had an ICD implanted pre-mandate, and 56 underwent implantation post-mandate (Table 1). Non-response rates were similar between both groups. Comparison of non-responders to responders demonstrated similar age at implant, but non-responders were more likely to be male (62% vs 39.6%, p=0.0001).

Table 1.

Demographic information

Overall (n=101) n (%) Pre-SDM mandate (n =45) n (%) Post-SDM mandate (n=56) n (%) P-value
Age
< 65 years 51 (50.50) 21 (46.67) 30 (53.57) 0.4903
≥ 65 years 50 (49.50) 24 (53.33) 26 (46.43)
Gender
Female 61 (60.40) 17 (37.78) 23 (58.93) 0.7366
Male 40 (39.60) 28 (62.22) 33 (41.07)
Race
Asian (East Asian or South Asian) 2 (1.98) 1 (2.22) 1 (1.79) 0.7549
Black or African American 46 (45.54) 18 (40.00) 28 (50.00)
Hispanic/Latino(a) 1 (0.99) 0 (0) 1 (1.79)
White/Caucasian 49 (48.51) 25 (55.56) 24 (42.86)
Other 3 (2.97) 1 (2.22) 2 (3.57)
Education
Some high school 3 (2.97) 3 (6.67) 0 (0) 0.4182
Graduated from high school 22 (21.78) 8 (17.78) 14 (25.00)
Some college 21 (20.79) 8 (17.78) 13 (23.21)
Graduated from college 32 (31.68) 14 (31.11) 18 (32.14)
Some graduate school 5 (4.95) 3 (6.67) 2 (3.57)
Graduated from a graduate school 18 (17.82) 9 (20.00) 9 (16.07)
In general, would you say your health is:
Excellent 4 (3.96) 1 (2.22) 3 (5.36) 0.1857
Very good 19 (18.81) 10 (22.22) 9 (16.07)
Good 37 (36.63) 15 (33.33) 22 (39.29)
Fair 25 (24.75) 15 (33.33) 10 (17.86)
Poor 16 (15.84) 4 (8.89) 12 (21.43)
Left Ventricular Ejection Fraction
≤35% 81 (80.20) 34 (75.56) 47 (83.93) 0.2939
>35% 20 (19.80) 11 (24.44) 9 (16.07)
Etiology of cardiomyopathy
Ischemic 37 (36.63) 16 (35.56) 21 (37.50) 0.8402
Non-ischemic 64 (63.37) 29 (64.44) 35 (62.50)
Has your ICD ever shocked you?
Yes 9 (8.91) 3 (6.67) 6 (10.71) 0.4779
No 92 (91.09) 42 (93.33) 50 (89.29)

There were no significant differences observed in composite knowledge about ICDs, decision conflict, values-choice concordance, or engagement in the decision-making process pre- and post-mandate. Overall, percentage of correctly answered questions regarding basic knowledge about ICDs (Table 2) was low in pre- and post- mandate participants (57.4% vs 53.0%, p=0.245). Participants implanted pre-mandate were more likely to correctly identify the frequency of minor complications (66.7% vs 37.5%, p=0.012). Mean decision conflict was low in both groups (11.89 vs 6.96, p=0.0877). Individual components of the decision conflict scale (Table 3) were similar, though pre-mandate patients were less likely to report an understanding of the benefits of ICD (88.2% vs 94.6%, p=0.0456). Answers to questions about values and engagement in decision-making were similar (Table 3).

Table 2.

Patients’ responses to questionnaire regarding their knowledge about ICDs

Overall (n=101) n (%) Pre-SDM mandate (n =45) n (%) Post-SDM mandate (n=56) n (%) P-value
What is the primary purpose of an ICD
To prevent sudden cardiac death* 73 (72.28) 34 (75.56) 39 (69.64) 0.3402
To prevent heart failure 17 (16.83) 5 (11.11) 12 (21.43)
To improve heart failure symptoms, such as shortness of breath and leg swelling 11 (10.89) 6 (13.33) 5 (8.93)
How often should an ICD be checked by the doctor?
Several times a year* 87 (86.14) 39 (86.67) 48 (85.71) 1.0000
Every 5 years 13 (12.87) 6 (13.33) 7 (12.50)
The ICD never needs to be checked 1 (0.99) 0 (0) 1 (1.79)
If someone decides that they no longer want their ICD on and they have it turned off, what happens next?
They have to enroll in hospice. 2 (1.98) 0 (0) 2 (3.57) 0.5928
They will die shortly. 11 (10.89) 4 (8.89) 7 (12.50)
Nothing needs to be done, they can continue to receive medications and other treatments for their heart failure. * 88 (87.13) 41 (91.11) 47 (83.93)
When would it be recommended that an ICD be turned off?
While you are asleep 4 (3.96) 3 (6.67) 1 (1.79) 0.5195
Near the end of life* 25 (24.75) 11 (24.44) 14 (25.00)
It should never be turned off 72 (71.29) 31 (68.89) 41 (73.21)
If 100 people have an ICD, about how many will have their lives saved by the ICD over the next 5 years? Select the answer that is closest to correct.
0 0 (0) 0 (0) 0 (0) 0.4865
1 5 (4.95) 3 (6.67) 2 (3.57)
7* 13 (12.87) 4 (8.89) 9 (16.07)
28 24 (23.76) 13 (28.89) 11 (19.64)
53 59 (58.42) 25 (55.56) 34 (60.71)
Minor complications can happen with an ICD such as bleeding or the device becoming disconnected. If 100 people get an ICD, about how many of them will experience a minor complication as a result of their ICD surgery?
0-1 22 (21.78) 6 (13.33) 16 (28.57) 0.0116
2-5* 51 (50.50) 30 (66.67) 21 (37.50)
6-10 23 (22.77) 6 (13.33) 17 (30.36)
More than 10 5 (4.95) 3 (6.67) 2 (3.57)
Serious complications can happen with an ICD such as infections, lung collapse, or death. If 100 people get an ICD, how many of them will experience a serious complication as a result of their ICD surgery?
0-1* 51 (50.50) 25 (55.56) 26 (46.43) 0.6658
2-5 33 (32.67) 14 (31.11) 19 (33.93)
6-10 12 (11.88) 5 (11.11) 7 (12.50)
More than 10 5 (4.95) 1 (2.22) 4 (7.14)
The shocks from an ICD cause some patients to develop emotional problems.
Yes* 45 (44.55) 17 (37.78) 28 (50.00) 0.2193
No 56 (55.45) 28 (62.22) 28 (50.00)
People with an ICD will not feel it if their ICD shocks them.
Yes 12 (11.88) 7 (15.56) 5 (8.93) 0.3063
No* 89 (88.12) 38 (84.44) 51 (91.07)
Sometimes an ICD will not shock a person when a shock is needed.
Yes* 41 (40.59) 22 (48.89) 19 (33.93) 0.1281
No 60 (59.41) 23 (51.11) 37 (66.07)
Sometimes an ICD will shock a person when a shock is not needed.
Yes* 47 (46.53) 23 (51.11) 24 (42.86) 0.4085
No 54 (53.47) 22 (48.89) 32 (57.14)
Percent of questions correctly answered
Mean (SD) 55.0 (19.1) 57.4 (19.5) 53.0 (18.7) 0.2452

Table 3.

Responses to 10-item decision conflict scale and decision participation questions

Overall (n=101) n(%) Pre-SDM mandate (n=45) n(%) Post-SDM mandate (n=56) n(%) P-value
If you were able to choose how to live the rest of your life, what number on the scale from 1 to 10 would represent where you would want to be (1 represents living as long as possible, even if symptoms from heart failure or other illnesses worsen over time and 10 represents dying quickly from any cause– for example, dying in your sleep).
 Mean (SD) 4.61 (3.52) 4.35 (3.11) 4.82 (3.82) 0.5108
Did you know which options were available to you?
Yes 76 (75.25) 34 (75.56) 42 (75.00) 0.0706
Unsure 14 (13.86) 9 (20.00) 5 (8.93)
No 11 (10.89) 2 (4.44) 9 (16.07)
Did you know the benefits of each option?
Yes 90 (89.11) 37 (82.22) 53 (94.64) 0.0456
Unsure 4 (3.96) 4 (8.89) 0 (0)
No 7 (6.93) 4 (8.89) 3 (5.36)
Did you know the risks and side effects of each option?
Yes 81 (80.20) 32 (71.11) 49 (87.50) 0.0554
Unsure 7 (6.93) 6 (13.33) 1 (1.79)
No 13 (12.87) 7 (15.56) 6 (10.71)
Were you clear about which benefits mattered most to you?
Yes 90 (89.11) 39 (86.67) 51 (91.07) 0.4821
Unsure 4 (3.96) 3 (6.67) 1 (1.79)
No 7 (6.93) 3 (6.67) 4 (7.14)
Were you clear about which risks and side effects mattered most to you?
Yes 80 (79.21) 35 (77.78) 45 (80.36) 0.3204
Unsure 9 (8.91) 6 (13.33) 3 (5.36)
No 12 (11.88) 4 (8.89) 8 (14.29)
Did you have enough support from others to make the choice?
Yes 88 (87.13) 38 (84.44) 50 (89.29) 0.7315
Unsure 4 (3.96) 2 (4.44) 2 (3.57)
No 9 (8.91) 5 (11.11) 4 (7.14)
Did you make the choice without pressure from others?
Yes 87 (86.14) 40 (88.89) 47 (83.93) 0.7706
Unsure 2 (1.98) 1 (2.22) 1 (1.79)
No 12 (11.88) 4 (8.89) 8 (14.29)
Did you have enough advice to make the choice?
Yes 96 (95.05 ) 43 (95.56) 53 (94.64) 0.0777
Unsure 2 (1.98) 2 (4.44) 0 (0)
No 3 (2.97) 0 (0) 3 (5.36)
Were you clear about the best choice for you?
Yes 94 (93.07) 41 (91.11) 53 (94.64) 0.4911
Unsure 4 (3.96) 3 (6.67) 1 (1.79)
No 3 (2.97) 1 (2.22) 2 (3.57)
Did you feel sure about what to choose?
Yes 95 (94.06) 42 (93.33) 53 (94.64) 0.2866
Unsure 2 (1.98) 2 (4.44) 0 (0)
No 4 (3.96) 3 (2.22) 1 (5.36)
Composite Decision Conflict Score
Mean (SD) 9.16 (13.82) 11.89 (16.25) 6.96 (11.19) 0.0877
How much do you feel that you and your doctor shared in the decision to have an ICD implanted?
The final decision was entirely mine 8 (7.92) 3 (6.67) 5 (8.93) 0.7010
Mostly my decision, with some input from the doctor 22 (21.78) 11 (24.44) 11 (19.64)
My doctor and I jointly made the final decision 48 (47.52) 23 (51.11) 25 (44.64)
Mostly my doctor’s decision, with some input from me 16 (15.84) 6 (13.33) 10 (17.86)
The final decision was made entirely by my doctor 3 (2.97) 0 (0) 3 (5.36)
I don’t remember 4 (3.96) 2 (4.44) 2 (3.57)
How much did you and your doctor talk about the reasons to get an ICD?
A lot 75 (74.26) 29 (64.44) 46 (82.14) 0.1025
A little bit 22 (21.78) 14 (31.11) 8 (14.29)
Not at all 0 (0) 0 (0) 0 (0)
I don’t remember 4 (3.96) 2 (4.44) 2 (3.57)
How much did you and your doctor talk about the reasons not to get an ICD?
A lot 25 (24.75) 13 (28.89) 12 (21.43) 0.6443
A little bit 29 (28.71) 11 (24.44) 18 (32.14)
Not at all 32 (31.68) 13 (28.89) 19 (33.93)
I don’t remember 15 (14.85) 8 (17.78) 7 (12.50)
Did any of your doctors ask you if you wanted an ICD?
Yes 69 (68.32) 31 (68.89) 38 (67.86) 0.9118
No 32 (31.68) 14 (31.11) 18 (32.14)

Of the 56 post-mandate patients, 39 (69.6%) remembered receiving the decision-aid. Of those who remembered the decision-aid, 36 (92.3%) reported reading the decision-aid prior to the procedure, 35 (97.2%) felt it helped them feel more comfortable with their decision, and 34 (94.4%) felt it helped improve discussions with their doctor.

Discussion

These observational data capitalize on a natural history experiment to gain insights into the impact of CMS-mandated SDM with a DA for primary prevention ICDs. This mandate does not seem to have substantially impacted patients’ knowledge about ICDs, decision conflict, values-choice concordance, or engagement in decision-making, but patients liked the DA and may feel more informed.

SDM can advance patient centered care, but this study raises concerns about policies focusing on DAs alone. First, these data demonstrate no obvious impact DA on key SDM domains. Simply mandating DA use may not substantially change the encounter. Without understanding how SDM should be conducted and how best to utilize the DA, the CMS mandate risks incentivizing perfunctory interactions. Importantly, a pilot trial of this decision-aid did suggest potential improvements, but multiple types of materials were provided, all in advance of a clinical encounter.10 Second, SDM is context specific; effective strategies likely vary based on the nature of the decision. For chronically ill patients considering an ICD, the salient issue is whether they have a quality of life that they want to preserve. Although our participants liked the DA, it is unclear whether it really helped them to make this assessment.

These findings suggest that it is critically important to study different implementation strategies for SDM in this context and evaluate various constructions of DAs. These studies could clarify which processes are most impactful, and future recommendations could incorporate implementation guidance.

This study has limitations. This is an observational study within a single health system, but patients were seen at 3 separate hospitals. Additionally, the structure of the SDM interaction was not standardized, though this likely reflects real heterogeneity in practice and the broad nature of the mandate. Other components of clinical encounters likely impact the extent to which effective SDM occurs. Also, there is potential for nonresponse bias, though non-responders revealed a similar distribution of age and timing of ICD implants. Finally, recall bias is possible though not suggested by these data; knowledge regarding short-term procedural risks, for example, was higher in the pre-mandate group.

SDM is appropriate for patients undergoing primary prevention ICD implantation, but a mandate focusing only on DA use may be insufficient to impact patient-centered care.

Supplementary Material

Appendix 1
Appendix 2

Funding Sources:

Ten Broeke Family Foundation

Conflict of Interests:

Dr. Rao reports receiving research funding from NIH grant # UL1TR002378, #TL1TR002382, AHRQ grant # 1F32HS028558-01 and from the Byron Williams Jr, MD Fellowship Fund.

Dr. Dickert reports receiving research funding from AHRQ, NIH, PCORI, and the Greenwall Foundation.

Footnotes

Publisher's Disclaimer: This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as doi:10.1111/pace.14414.

Ethics statement: All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee

Patient consent statement: All patients provided informed consent prior to participation in this study.

Data availability:

Data can be made available if requested

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Appendix 1
Appendix 2

Data Availability Statement

Data can be made available if requested

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