Abstract 4366999: Optimizing Representation and Retention in Hybrid Cardiac Rehabilitation: Lessons Learned from the mTECH-Rehab Randomized Controlled Trial

Z Zaib Hussain (Johns Hopkins University, Baltimore, Maryland, United States) A Asma Rayani (Johns Hopkins University, Baltimore, Maryland, United States) N Nino Isakadze (Johns Hopkins School of Medicine, Baltimore, Maryland, United States) C Chang Kim (Johns Hopkins University, Baltimore, Maryland, United States) M Mansi Nimbalkar (Johns Hopkins University, Arlington, Virginia, United States) J Jie Ding (Max Planck Institute of Microstructure Physics) A Ali Asghar Kassamali (Johns Hopkins University, Baltimore, Maryland, United States) X Xinyi Zhang R Robert Weinstein (Johns Hopkins School of Medicine, Baltimore, Maryland, United States) H Henry Zhao (Johns Hopkins University, Glenwood, Maryland, United States) Z Zane MacFarlane (University of Pennsylvania, Philadelphia, Pennsylvania, United States) Y Yumin Gao (Johns Hopkins BSPH, Baltimore, Maryland, United States) Q Qicong Sheng (University of California, Los Angeles, Los Angeles, California, United States) A Ashley Broderick (Johns Hopkins University, Baltimore, Maryland, United States) A Alexandra Bush (Johns Hopkins Bayview MedicalCenter, Baltimore, Maryland, United States) M Meghan Harp (Johns Hopkins University, Baltimore, Maryland, United States) P Preeti Benjamin (Johns Hopkins University, Baltimore, Maryland, United States) B Brittany Neigh (Johns Hopkins University, Baltimore, Maryland, United States) J Jackie Lobien (Johns Hopkins University, Baltimore, Maryland, United States) T Tara Reddy (Johns Hopkins University, Baltimore, Maryland, United States) T Tanya Burley (Johns Hopkins University, Baltimore, Maryland, United States) K Keith Jackson (Johns Hopkins University, Baltimore, Maryland, United States) M Matthias Lee (Johns Hopkins University, Baltimore, Maryland, United States) J Jeffrey Sham (Johns Hopkins University, Baltimore, Maryland, United States) N Nancy Molello (Johns Hopkins University, Baltimore , Maryland, United States) Y Yvonne Commodore-Mensah K Kerry Stewart (Johns Hopkins University, Owings Mills, Maryland, United States) E Erin Spaulding (Johns Hopkins School of Nursing, Baltimore, Maryland, United States) D Daniel Hanley N Nichol McBee (Johns Hopkins University, Baltimore, Maryland, United States) E Erin Michos (Johns Hopkins Medicine, Clarksville, Maryland, United States) F Francoise Marvel (Johns Hopkins Hospital, Baltimore, Maryland, United States) L Lena Mathews (Johns Hopkins, Baltimore, Maryland, United States) S Seth Martin (Johns Hopkins School of Medicine, Baltimore, Maryland, United States)

Abstract

Background: Cardiac rehab (CR) is a critical but underused secondary prevention program. Hybrid CR programs have the potential to improve patient access by enabling home CR sessions alongside traditional in-center sessions. However, representation and retention of patients who enroll in hybrid CR remain a knowledge gap. Methods: The mTECH-Rehab trial evaluated a 12-week hybrid CR program (center and home-based), recruiting from four inpatient sites, with outpatient delivery at affiliated and unaffiliated centers based on patient preference. We integrated strategies informed by early pilot data to facilitate representative enrollment and retention. These included remote recruitment with electronic consent, a pre-randomization run-in period, and human-centered design paired with digital engagement workflows. Participants in the intervention arm received necessary devices (smartphones, smartwatches, blood pressure monitors) to mitigate digital access barriers. Trained tech coaches ran personalized onboarding guided by a structured protocol, with on-demand participant support throughout the trial. A 4-week run-in period ensured continued interest and digital readiness. Weekly metrics included screening, enrollment, dropout, and randomization to inform adaptive outreach (Fig. 1 ). Results: Of 6,170 patients screened, 1,252 (19%) met eligibility criteria; 969 (77%) were contacted, and 259 (27%) enrolled (mean [SD] age 65 [11.7] years). Among those enrolled, 202 (78%) were randomized, and 167 (83%) of these were retained and completed follow-up. Representation by age, sex, and race remained stable across all phases (mean [SD] age = 64 [12] years enrolled and retained; 32% women enrolled, 31% retained; 9% African Americans enrolled, 10% retained), suggesting that access-related barriers did not lead to attrition ( Fig 2) . Reasons for dropout included unavailability for clinical visits (25%), insurance or logistical issues (22%), loss of contact (19%), unreliable follow-up (19%), withdrawal of consent (9%), and health issues (7%). Conclusion: In our trial, despite low enrollment of racial and ethnic groups, demographic retention and representation in hybrid CR by age, sex, and race were stable. This is an encouraging result achieved through a multifaceted strategy that included a run-in phase, digital device provision, supportive onboarding, and on-demand technology support. Whether such stability can be achieved in a real-world implementation requires further investigation.

Article Details

Journal Circulation
Volume / Issue Vol. 152, Issue Suppl_3
Published November 04, 2025
ISSN 0009-7322
Publisher Lippincott Williams & Wilkins

Journal Info

Circulation

Lippincott Williams & Wilkins

ISSN: 0009-7322 Health Sciences

Authors (34)

Z

Zaib Hussain

Johns Hopkins University, Baltimore, Maryland, United States

A

Asma Rayani

Johns Hopkins University, Baltimore, Maryland, United States

N

Nino Isakadze

Johns Hopkins School of Medicine, Baltimore, Maryland, United States

C

Chang Kim

Johns Hopkins University, Baltimore, Maryland, United States

M

Mansi Nimbalkar

Johns Hopkins University, Arlington, Virginia, United States

J

Jie Ding

Max Planck Institute of Microstructure Physics

A

Ali Asghar Kassamali

Johns Hopkins University, Baltimore, Maryland, United States

X

Xinyi Zhang

R

Robert Weinstein

Johns Hopkins School of Medicine, Baltimore, Maryland, United States

H

Henry Zhao

Johns Hopkins University, Glenwood, Maryland, United States

Z

Zane MacFarlane

University of Pennsylvania, Philadelphia, Pennsylvania, United States

Y

Yumin Gao

Johns Hopkins BSPH, Baltimore, Maryland, United States

Q

Qicong Sheng

University of California, Los Angeles, Los Angeles, California, United States

A

Ashley Broderick

Johns Hopkins University, Baltimore, Maryland, United States

A

Alexandra Bush

Johns Hopkins Bayview MedicalCenter, Baltimore, Maryland, United States

M

Meghan Harp

Johns Hopkins University, Baltimore, Maryland, United States

P

Preeti Benjamin

Johns Hopkins University, Baltimore, Maryland, United States

B

Brittany Neigh

Johns Hopkins University, Baltimore, Maryland, United States

J

Jackie Lobien

Johns Hopkins University, Baltimore, Maryland, United States

T

Tara Reddy

Johns Hopkins University, Baltimore, Maryland, United States

T

Tanya Burley

Johns Hopkins University, Baltimore, Maryland, United States

K

Keith Jackson

Johns Hopkins University, Baltimore, Maryland, United States

M

Matthias Lee

Johns Hopkins University, Baltimore, Maryland, United States

J

Jeffrey Sham

Johns Hopkins University, Baltimore, Maryland, United States

N

Nancy Molello

Johns Hopkins University, Baltimore , Maryland, United States

Y

Yvonne Commodore-Mensah

K

Kerry Stewart

Johns Hopkins University, Owings Mills, Maryland, United States

E

Erin Spaulding

Johns Hopkins School of Nursing, Baltimore, Maryland, United States

D

Daniel Hanley

N

Nichol McBee

Johns Hopkins University, Baltimore, Maryland, United States

E

Erin Michos

Johns Hopkins Medicine, Clarksville, Maryland, United States

F

Francoise Marvel

Johns Hopkins Hospital, Baltimore, Maryland, United States

L

Lena Mathews

Johns Hopkins, Baltimore, Maryland, United States

S

Seth Martin

Johns Hopkins School of Medicine, Baltimore, Maryland, United States