Patient Outcomes From Home-Based Virtual Cardiac Rehabilitation Within a Large Integrated Healthcare System

Cardiac rehabilitation can improve patient outcomes and reduce the risk of recurrent cardiac events. Virtual home-based programs may support patient access and participation if feasible and effective. Among all eligible patients with a cardiac event (myocardial infarction, coronary artery bypass graft, or percutaneous coronary intervention) between 2016 and 2022, within a multisite integrated delivery system offering a virtual home-based Cardiac Rehabilitation Program, we examined the association between cardiac rehabilitation exposure and return emergency department visits or hospitalizations, major adverse cardiovascular event events, and revascularization during a 1-year period after rehabilitation, using propensity weighted multivariate analyses to balance rehabilitation and nonrehabilitation groups. Among 25,552 eligible patients across 21 medical centers, 7,077 (27.7%) enrolled in home-based virtual cardiac rehabilitation and received three or more intervention encounters. After adjustment, cardiac rehabilitation exposure was associated with a higher risk of all-cause emergency department visits (Adjusted RR: 1.08, 95% confidence interval [CI] 1.05 to 1.12) and a significantly lower risk of hospitalizations (Adjusted RR 0.86, 95% CI 0.81 to 0.90). We found no statistically significant association with major adverse cardiovascular event and revascularization events. Cardiac rehabilitation was, however, associated with a significantly lower rate of 1-year mortality (Adjusted RR 0.68, 95% CI 0.60 to 0.76). In conclusion, virtual home-based cardiac rehabilitation was associated with lower hospitalization and mortality, showing feasibility and effectiveness for improving cardiac outcomes. Further attention may be given to increasing patient engagement, given the relative convenience of a home-based virtual program.

Cardiovascular disease remains the leading cause of death in the United States and globally. , Cardiac rehabilitation (CR), a multidisciplinary approach to applying secondary prevention therapies, is pivotal to recovery after myocardial infarction (MI). Many randomized trials have shown CR to decrease recurrent MI and mortality rates, improve a patient’s quality of life, and facilitate return to work more quickly. ,

Despite known benefits, national enrollment in CR remains <30%. Home-based CR has been postulated to support CR participation. A joint statement from ACC/AHA/AACVPR has established that home-based CR may achieve comparable clinical outcomes to the traditional approach, with several small trials demonstrating promising results. In a randomized controlled trial of 120 patients, Varnfield and colleagues showed smartphone-based CR to have higher enrollment and completion of the full program. Additionally, Arthur and associates demonstrate greater social support and quality of life among patients in a home-based versus institutional program . Lastly, in the largest review on this topic, Dalal and colleagues show equivalent reduction in modifiable risk factors for home and center-based programs. Nonetheless, these studies are limited in sample size and duration of follow-up.

Kaiser Permanente Northern California (KPNC) has been a leader in establishing a novel home-based CR program for the last three decades. In a large multisite retrospective cohort study of CR-eligible patients, we examined the associations between CR exposure and cardiac events, health care utilization, and mortality. We hypothesized that home-based CR would be associated with lower hospitalizations, rates of recurrent MI, and death.

Methods

Setting

The Cardiac Rehabilitation Program (CRP) at KPNC is a home-based virtual telehealth program, in place since 1990. Each of 21 medical centers in Northern California has an independent local CRP, coordinated by a central Regional Director as a part of population care management. Patients experiencing a qualifying cardiac event (MI, coronary artery bypass graft [CABG], or percutaneous coronary intervention [PCI]) become eligible for the program and are accordingly referred to the CRP before hospital discharge. Within 2 weeks after the cardiac event, the nurse care manager and Program Director assess patients and initiate enrollment as appropriate.

A program care manager, typically a nurse, contacts the patient to do an intake visit, including the patient’s medical history, medications, labs, dietary and exercise habits, and then follows up with the patient monthly to deliver the CRP over 6 months. During scheduled telephone-based encounters, the care manager will assess beta- blocker adherence, dual antiplatelet therapy, statin adherence, BP and diabetes control, low-density lipoprotein (LDL) goal to <70, and psychological health. They guide the patients on an appropriate diet and exercise regimen. Patients are given personalized exercise prescriptions based on the Rate of Perceived Exertion (RPE) scale . Some local programs also perform treadmill testing for functional capacity and exercise recommendations. Care managers also counsel patients about smoking cessation, alcohol, and substance use. All study patients, regardless of CR participation, continue to be closely followed and clinically managed by primary care and cardiologist physicians and clinical department standard outreach.

Study design and population

In this multicenter retrospective cohort study, all CR-eligible adults (18 to 85 years) experiencing a qualifying cardiac event as defined above, from January 01, 2016, to December 31, 2022, at any of the 21 KPNC medical centers were included in the study population. Patients with gaps in insurance coverage ≥60 days, diagnosed as frail, experiencing previous CR, hospice, or palliative care within 12 months preceding the qualifying event, or missing key data, were excluded from further study (Supplementary Figure 1). Study data were extracted from the KPNC Electronic Health Record and from program administrative data.

To identify a homogenous cohort and to reflect program criteria designed to align with CR quality measures established by the National Committee for Quality Assurance, the study population included only those who suffered MI, or underwent PCI or CABG. Notably, other indications for CR, such as heart and heart/lung transplantation, heart valve repair, or replacement, were not included in the study.

Of note, all patients included in the study are followed at Kaiser and managed by standard care practices from primary care teams and cardiologists.

Exposure and outcomes

We defined exposure to CR as three or more CR encounters in the 6-month exposure period after the initial cardiac event. We did not include the initial recruitment and intake visit in this count of intervention exposure.

The study outcomes included all-cause mortality, inpatient hospitalization or emergency department (ED) visit, revascularization procedures (PCI or CABG), and major adverse cardiovascular event (MACE), defined as MI, cardiogenic shock, or cardiac arrest. All outcomes were assessed over a 12-month duration, which started after the initial 6-month CR intervention exposure period.

Statistical analysis

To account for imbalanced covariates with standardized mean differences (SMDs) >0.2, our study implemented inverse probability of treatment weighting (IPTW). Weights were created using a propensity score model consisting of the following variables: sex (male or female), race (White, Asian, Hispanic, Black, and Other), age categories (25 to 64, 65 to 74, 75 to 84, 85+ years of age), LDL (above or below 70), diagnosis of depression, active portal user status, qualifying cardiac event type, smoking status, comorbidity point score (COPS) risk score quartiles, degree of hypertension (stage 2, stage 1, elevated, normal, missing), neighborhood deprivation index, year of index event, and medical center. The propensity score from this model was converted to a weight using the average treatment effect method to estimate the effect of CR treatment on the population of eligible patients. To determine if IPTW was successful, we compared the SMDs before and after weighing with a threshold of 0.2.

Multivariable modified Poisson was used to estimate risk ratios for binary outcomes: hospitalization, ED visits, MACE, and revascularization. To investigate the associations between CR exposure and mortality, both modified Poisson (risk ratios) and Cox proportional hazards (hazard ratios) modeling were used.

In addition to covariate adjustment through IPTW, we also added covariates to the model to address residual confounding. The covariates used for adjustment in multivariable models were the same variables used in the propensity score model: sex (M/F), race (White, Asian, Hispanic, Black, Other), age categories (25 to 64, 65 to 74, 75 to 84, 85+), LDL (above or below 70), history of depression (yes/no), active patient portal user (yes/no), qualifying event type (inpatient MI, inpatient CABG, inpatient PCI, or outpatient PCI, smoking status (current, former, never, missing), COPS comorbidity risk score (quartiles), blood pressure group (hypertension stage 2, hypertension stage 1, elevated, normal, missing), neighborhood deprivation index, year of index event (2016 to 2022), and medical center (21 facilities).

We conducted several sensitivity analyses. We examined alternate definitions of cardiac rehab exposure based on one or more completed visits and based on six or more completed visits. We further explored a subgroup analysis excluding study patients with extended hospitalizations ≥30 days, entered palliative/hospice care, had repeat MACE events, or died during the exposure period.

All analyses were performed using SAS 9.4 (Cary, North Carolina). The study was approved by the Institutional Review Board of the Kaiser Foundation Research Institute. The study protocol follows the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) guidelines for cohort studies.

Results

Among 25,552 eligible patients, 7,077 (28%) enrolled in CR and underwent three or more sessions. Of the cohort, 67% of eligible patients were male; 17% had Asian race/ethnicity, 7% were Black, 57% were non-Hispanic White, and 5% had another race/ethnicity ( Table 1 ). Before weighting, SMDs were above 0.2 for the following variables: index event type, age group, COPS comorbidity risk score group, and history of depression. After weighing, SMD’s for all variables were below 0.1.

Table 1

Cohort characteristics before and after weighting, grouped by exposure to cardiac rehabilitation

Unweighted Weighted
Overall Enrolled in cardiac rehabilitation Eligible but
not enrolled
SMD Enrolled in cardiac rehabilitation Eligible but not enrolled SMD
N = 25,552 N = 7,077 N = 18,475 N = 7,077 18,475
Index event, n (%) Inpatient, MI 13,176 (51.6) 1,304 (18.4) 11,872 (64.3) -1.05 (22.2) (58.8) -0.05
Inpatient, CABG 4,297 (16.8) 2,149 (30.4) 2,148 (11.6) 0.47 (28.1) (13.9) 0.02
Inpatient, PCI 2,345 (9.2) 983 (13.9) 1,362 (7.4) 0.21 (13.8) (8.5) 0.01
Outpatient, PCI 5,734 (22.4) 2,641 (37.3) 3,093 (16.7) 0.50 (35.9) (18.8) 0.02
Index year, n (%) 2016 4,073 (15.9) 1,130 (16.0) 2,943 (15.9) <0.01 (16.2) (15.7) 0.02
2017 3,676 (14.4) 974 (13.8) 2,702 (14.6) -0.02 (13.8) (14.3) 0.02
2018 3,610 (14.1) 1,128 (15.9) 2,482 (13.4) 0.07 (15.4) (13.7) 0.01
2019 3,501 (13.7) 1,111 (15.7) 2,390 (12.9) 0.08 (15.1) (13.3) <0.01
2020 2,885 (11.3) 819 (11.6) 2,066 (11.2) 0.01 (11.4) (11.3) 0.03
2021 3,589 (14.0) 939 (13.3) 2,650 (14.3) -0.03 (13.4) (14.5) -0.02
2022 4,218 (16.5) 976 (13.8) 3,242 (17.5) -0.10 (14.6) (17.3) -0.06
Age group, n (%) 25-64 5,371 (21.0) 1,606 (22.7) 3,765 (20.4) 0.06 (22.6) (20.7) 0.01
65-74 6,763 (26.5) 2,132 (30.1) 4,631 (25.1) 0.11 (29.7) (25.6) 0.03
75-84 6,411 (25.1) 1,889 (26.7) 4,522 (24.5) 0.05 (26.1) (24.7) -0.02
85+ 7,007 (27.4) 1,450 (20.5) 5,557 (30.1) -0.22 (21.7) (29.1) -0.02
Sex, n (%) Female 8,365 (32.7) 1,622 (22.9) 6,743 (36.5) -0.30 (24.1) (34.8) -0.07
Male 17,187 (67.3) 5,455 (77.1) 11,732 (63.5) (75.9) (65.2)
Racial identity, n (%) Asian 4,265 (16.7) 1,425 (20.1) 2,840 (15.4) 0.12 (19.8) (15.8) 0.01
Black 1,897 (7.4) 308 (4.4) 1,589 (8.6) -0.17 (4.7) (8.0) -0.06
Hispanic 3,710 (14.5) 1,001 (14.1) 2,709 (14.7) -0.01 (14.1) (14.7) <0.01
White 14,438 (56.5) 3,987 (56.3) 10,451 (56.6) >-0.01 (56.5) (56.7) 0.02
Other 1,242 (4.9) 356 (5.0) 886 (4.8) 0.01 (4.9) (4.8) 0.01
Prefers English, n (%) Yes 23,772 (93.0) 6,637 (93.8) 17,135 (92.7) 0.04 (93.7) (93.0) 0.01
No 1,780 (7.0) 440 (6.2) 1,340 (7.3) (6.3) (7.0)
Deprivation index, n (%) Most Deprived 5,062 (19.8) 1,080 (15.3) 3,982 (21.6) -0.16 (15.8) (21.0) -0.01
Above Average Deprivation 5,001 (19.6) 1,273 (18.0) 3,728 (20.2) -0.06 (18.1) (20.0) <0.01
Average Deprivation 4,967 (19.4) 1,402 (19.8) 3,565 (19.3) 0.01 (19.8) (19.4) -0.01
Below Average Deprivation 5,225 (20.4) 1,558 (22.0) 3,667 (19.8) 0.05 (21.5) (20.0) >-0.01
Least Deprived 5,296 (20.7) 1,764 (24.9) 3,532 (19.1) 0.14 (24.9) (19.7) 0.02
Missing 1 (0.0) 0 (0.0) 1 (0.0) -0.01 (0.0) (0.0) -0.01
Active portal user, n (%) Yes 21,601 (84.5) 6,300 (89.0) 15,301 (82.8) 0.18 (88.6) (83.6) 0.01
No 3,951 (15.5) 777 (11.0) 3,174 (17.2) (11.4) (16.4)
Depression, n (%) Yes 4,663 (18.2) 892 (12.6) 3,771 (20.4) -0.21 (13.0) (19.4) -0.05
No 20,889 (81.8) 6,185 (87.4) 14,704 (79.6) (87.0) (80.6)
Smoking group, n (%) Current 248 (1.0) 45 (0.6) 203 (1.1) -0.05 (0.6) (1.0) -0.02
Former 3,448 (13.5) 989 (14.0) 2,459 (13.3) 0.02 (14.1) (13.5) 0.01
Never 13,172 (51.5) 3,987 (56.3) 9,185 (49.7) 0.13 (55.5) (50.5) <0.01
Unknown 8,684 (34.0) 2,056 (29.1) 6,628 (35.9) -0.15 (29.8) (35.1) -0.01
BP group, n (%) Hypertension Stage 2 7,213 (28.2) 1,886 (26.6) 5,327 (28.8) -0.05 (27.2) (28.7) 0.01
Hypertension Stage 1 5,488 (21.5) 1,726 (24.4) 3,762 (20.4) 0.10 (23.5) (20.7) -0.01
Elevated 3,953 (15.5) 1,225 (17.3) 2,728 (14.8) 0.07 (17.1) (15.2) 0.02
Normal 8,365 (32.7) 2,129 (30.1) 6,236 (33.8) -0.08 (30.4) (33.2) -0.02
Missing 533 (2.1) 111 (1.6) 422 (2.3) -0.05 (1.8) (2.2) -0.07
LDL group, n (%) Above 70 11,384 (44.6) 3,906 (55.2) 7,478 (40.5) 0.30 (53.9) (42.4) 0.05
Below 70 14,168 (55.4) 3,171 (44.8) 10,997 (59.5) (46.1) (57.6)
COPS risk score, n (%) 0-10 7,338 (28.7) 2,736 (38.7) 4,602 (24.9) 0.30 (37.1) (26.4) 0.02
11-20 3,580 (14.0) 1,255 (17.7) 2,325 (12.6) 0.14 (17.0) (13.2) 0.01
21-50 6,041 (23.6) 1,695 (24.0) 4,346 (23.5) 0.01 (24.4) (23.8) 0.03
51+ 6,597 (25.8) 796 (11.2) 5,801 (31.4) -0.51 (12.8) (28.9) -0.08
Missing 1,996 (7.8) 595 (8.4) 1,401 (7.6) 0.03 (8.7) (7.6) 0.02
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Aug 8, 2026 | Posted by in CARDIOLOGY | Comments Off on Patient Outcomes From Home-Based Virtual Cardiac Rehabilitation Within a Large Integrated Healthcare System

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