Patient Onboarding and Engagement to Build a Digital Study After Enrollment in a Clinical Trial (TAILOR-PCI Digital Study): Intervention Study

Robert Avram, Derek So, Erin Iturriaga, Julia Byrne, Ryan Lennon, Vishakantha Murthy, Nancy Geller, Shaun Goodman, Charanjit Rihal, Yves Rosenberg, Kent Bailey, Michael Farkouh, Malcolm Bell, Charles Cagin, Ivan Chavez, Mohammad El-Hajjar, Wilson Ginete, Amir Lerman, Justin Levisay, Kevin Marzo, Tamim Nazif, Jeffrey Olgin, Naveen Pereira, Robert Avram, Derek So, Erin Iturriaga, Julia Byrne, Ryan Lennon, Vishakantha Murthy, Nancy Geller, Shaun Goodman, Charanjit Rihal, Yves Rosenberg, Kent Bailey, Michael Farkouh, Malcolm Bell, Charles Cagin, Ivan Chavez, Mohammad El-Hajjar, Wilson Ginete, Amir Lerman, Justin Levisay, Kevin Marzo, Tamim Nazif, Jeffrey Olgin, Naveen Pereira

Abstract

Background: The Tailored Antiplatelet Initiation to Lessen Outcomes Due to Decreased Clopidogrel Response After Percutaneous Coronary Intervention (TAILOR-PCI) Digital Study is a novel proof-of-concept study that evaluated the feasibility of extending the TAILOR-PCI randomized controlled trial (RCT) follow-up period by using a remote digital platform.

Objective: The aim of this study is to describe patients' onboarding, engagement, and results in a digital study after enrollment in an RCT.

Methods: In this intervention study, previously enrolled TAILOR-PCI patients in the United States and Canada within 24 months of randomization were invited by letter to download the study app. Those who did not respond to the letter were contacted by phone to survey the reasons for nonparticipation. A direct-to-patient digital research platform (the Eureka Research Platform) was used to onboard patients, obtain consent, and administer activities in the digital study. The patients were asked to complete health-related surveys and digitally provide follow-up data. Our primary end points were the consent rate, the duration of participation, and the monthly activity completion rate in the digital study. The hypothesis being tested was formulated before data collection began.

Results: After the parent trial was completed, letters were mailed to 907 eligible patients (representing 18.8% [907/4837] of total enrolled in the RCT) within 15.6 (SD 5.2) months of randomization across 24 sites. Among the 907 patients invited, 290 (32%) visited the study website and 110 (12.1%) consented-40.9% (45/110) after the letter, 33.6% (37/110) after the first phone call, and 25.5% (28/110) after the second call. Among the 47.4% (409/862) of patients who responded, 41.8% (171/409) declined to participate because of a lack of time, 31.2% (128/409) declined because of the lack of a smartphone, and 11.5% (47/409) declined because of difficulty understanding what was expected of them in the study. Patients who consented were older (aged 65.3 vs 62.5 years; P=.006) and had a lower prevalence of diabetes (19% vs 30%; P=.02) or tobacco use (6.4% vs 24.8%; P<.001). A greater proportion had bachelor's degrees (47.2% vs 25.7%; P<.001) and were more computer literate (90.5% vs 62.3% of daily internet use; P<.001) than those who did not consent. The average completion rate of the 920 available monthly electronic visits was 64.9% (SD 7.6%); there was no decrease in this rate throughout the study duration.

Conclusions: Extended follow-up after enrollment in an RCT by using a digital study was technically feasible but was limited because of the inability to contact most eligible patients or a lack of time or access to a smartphone. Among the enrolled patients, most completed the required electronic visits. Enhanced recruitment methods, such as the introduction of a digital study at the time of RCT consent, smartphone provision, and robust study support for onboarding, should be explored further.

Trial registration: Clinicaltrails.gov NCT01742117; https://ichgcp.net/clinical-trials-registry/NCT01742117.

Keywords: cardiology; clinical trial; digital health; digital study; mobile health; mobile phone; smartphone.

Conflict of interest statement

Conflicts of Interest: SG has received research grant support and honoraria from: Amgen, Anthos Therapeutics, AstraZeneca, Bayer, Boehringer Ingelheim, Bristol Myers Squibb, CSL Behring, Daiichi-Sankyo/American Regent, Eli Lilly, Esperion, Ferring Pharmaceuticals, HLS Therapeutics, JAMP Pharma, Merck, Novartis, Novo Nordisk A/C, Pendopharm/Pharmascience, Pfizer, Regeneron, Sanofi, Servier, Valeo Pharma; and salary support/honoraria from the Heart and Stroke Foundation of Ontario/University of Toronto (Polo) Chair, Canadian Heart Research Centre and MD Primer, Canadian VIGOUR Centre, Cleveland Clinic Coordinating Centre for Clinical Research, Duke Clinical Research Institute, New York University Clinical Coordinating Centre, PERFUSE Research Institute, and TIMI Study Group (Brigham Health). MF has received research grant support from Amgen, Astra Zeneca, Novartis, and Novo Nordisk. .

©Robert Avram, Derek So, Erin Iturriaga, Julia Byrne, Ryan Lennon, Vishakantha Murthy, Nancy Geller, Shaun Goodman, Charanjit Rihal, Yves Rosenberg, Kent Bailey, Michael Farkouh, Malcolm Bell, Charles Cagin, Ivan Chavez, Mohammad El-Hajjar, Wilson Ginete, Amir Lerman, Justin Levisay, Kevin Marzo, Tamim Nazif, Jeffrey Olgin, Naveen Pereira. Originally published in JMIR Formative Research (https://formative.jmir.org), 13.06.2022.

Figures

Figure 1
Figure 1
CONSORT (Consolidated Standards of Reporting Trials) diagram. PCI: percutaneous coronary intervention; RCT: randomized controlled trial; TAILOR-PCI: Tailored Antiplatelet Initiation to Lessen Outcomes Due to Decreased Clopidogrel Response After Percutaneous Coronary Intervention.
Figure 2
Figure 2
Tailored Antiplatelet Initiation to Lessen Outcomes Due to Decreased Clopidogrel Response After Percutaneous Coronary Intervention e-visit completion rate.
Figure 3
Figure 3
Tailored Antiplatelet Initiation to Lessen Outcomes Due to Decreased Clopidogrel Response After Percutaneous Coronary Intervention activities completion rates.

References

    1. Pereira NL, Farkouh ME, So D, Lennon R, Geller N, Mathew V, Bell M, Bae JH, Jeong MH, Chavez I, Gordon P, Abbott JD, Cagin C, Baudhuin L, Fu YP, Goodman SG, Hasan A, Iturriaga E, Lerman A, Sidhu M, Tanguay JF, Wang L, Weinshilboum R, Welsh R, Rosenberg Y, Bailey K, Rihal C. Effect of genotype-guided oral P2Y12 inhibitor selection vs conventional clopidogrel therapy on ischemic outcomes after percutaneous coronary intervention: the TAILOR-PCI randomized clinical trial. JAMA. 2020 Aug 25;324(8):761–71. doi: 10.1001/jama.2020.12443. 2769725
    1. The NIH collaboratory launches a new resource on methods and best practices for pragmatic clinical trials. National Center for Complementary and Integrative Health, National Institutes of Health. 2019. Oct 03, [2020-11-16]. .
    1. Pereira NL, Avram R, So DY, Iturriaga E, Byrne J, Lennon RJ, Murthy V, Geller N, Goodman SG, Rihal C, Rosenberg Y, Bailey K, Pletcher MJ, Marcus GM, Farkouh ME, Olgin JE. Rationale and design of the TAILOR-PCI digital study: transitioning a randomized controlled trial to a digital registry. Am Heart J. 2021 Feb;232:84–93. doi: 10.1016/j.ahj.2020.10.069. S0002-8703(20)30355-0
    1. UCSF Eureka Team Eureka – a digital research platform. University of California San Francisco. [2022-03-23].
    1. Hlatky MA, Boineau RE, Higginbotham MB, Lee KL, Mark DB, Califf RM, Cobb FR, Pryor DB. A brief self-administered questionnaire to determine functional capacity (the Duke Activity Status Index) Am J Cardiol. 1989 Sep 15;64(10):651–4. doi: 10.1016/0002-9149(89)90496-7.0002-9149(89)90496-7
    1. Spertus JA, Winder JA, Dewhurst TA, Deyo RA, Prodzinski J, McDonell M, Fihn SD. Development and evaluation of the Seattle Angina Questionnaire: a new functional status measure for coronary artery disease. J Am Coll Cardiol. 1995 Feb;25(2):333–41. doi: 10.1016/0735-1097(94)00397-9. 0735109794003979
    1. Mahler DA, Wells CK. Evaluation of clinical methods for rating dyspnea. Chest. 1988 Mar;93(3):580–6. doi: 10.1378/chest.93.3.580.S0012-3692(16)30335-X
    1. Bell DS, O'Neill SM, Reynolds K, Schoeff D. Evaluation of RxNorm in ambulatory electronic prescribing. Rand Health Q. 2011;1(3):8.
    1. Spitzer RL, Kroenke K, Williams JB, Löwe B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006 May 22;166(10):1092–7. doi: 10.1001/archinte.166.10.1092.166/10/1092
    1. Agresti A, Coull BA. Approximate is better than "exact" for interval estimation of binomial proportions. Am Stat. 1998 May;52(2):119–26. doi: 10.2307/2685469.S0884-2175(15)31215-6
    1. Pratap A, Neto EC, Snyder P, Stepnowsky C, Elhadad N, Grant D, Mohebbi MH, Mooney S, Suver C, Wilbanks J, Mangravite L, Heagerty PJ, Areán P, Omberg L. Indicators of retention in remote digital health studies: a cross-study evaluation of 100,000 participants. NPJ Digit Med. 2020;3:21. doi: 10.1038/s41746-020-0224-8. doi: 10.1038/s41746-020-0224-8.224
    1. Bot BM, Suver C, Neto EC, Kellen M, Klein A, Bare C, Doerr M, Pratap A, Wilbanks J, Dorsey ER, Friend SH, Trister AD. The mPower study, Parkinson disease mobile data collected using ResearchKit. Sci Data. 2016 Mar 03;3:160011. doi: 10.1038/sdata.2016.11. doi: 10.1038/sdata.2016.11.sdata201611
    1. Chan YY, Wang P, Rogers L, Tignor N, Zweig M, Hershman SG, Genes N, Scott ER, Krock E, Badgeley M, Edgar R, Violante S, Wright R, Powell CA, Dudley JT, Schadt EE. The Asthma Mobile Health Study, a large-scale clinical observational study using ResearchKit. Nat Biotechnol. 2017 Apr;35(4):354–62. doi: 10.1038/nbt.3826. nbt.3826
    1. Hershman SG, Bot BM, Shcherbina A, Doerr M, Moayedi Y, Pavlovic A, Waggott D, Cho MK, Rosenberger ME, Haskell WL, Myers J, Champagne MA, Mignot E, Salvi D, Landray M, Tarassenko L, Harrington RA, Yeung AC, McConnell MV, Ashley EA. Physical activity, sleep and cardiovascular health data for 50,000 individuals from the MyHeart Counts Study. Sci Data. 2019 Apr 11;6(1):24. doi: 10.1038/s41597-019-0016-7. doi: 10.1038/s41597-019-0016-7.10.1038/s41597-019-0016-7
    1. Perez MV, Mahaffey KW, Hedlin H, Rumsfeld JS, Garcia A, Ferris T, Balasubramanian V, Russo AM, Rajmane A, Cheung L, Hung G, Lee J, Kowey P, Talati N, Nag D, Gummidipundi SE, Beatty A, Hills MT, Desai S, Granger CB, Desai M, Turakhia MP, Apple Heart Study Investigators Large-scale assessment of a smartwatch to identify atrial fibrillation. N Engl J Med. 2019 Nov 14;381(20):1909–17. doi: 10.1056/NEJMoa1901183.
    1. Chaibub Neto E, Pratap A, Perumal TM, Tummalacherla M, Snyder P, Bot BM, Trister AD, Friend SH, Mangravite L, Omberg L. Detecting the impact of subject characteristics on machine learning-based diagnostic applications. NPJ Digit Med. 2019;2:99. doi: 10.1038/s41746-019-0178-x. doi: 10.1038/s41746-019-0178-x.178
    1. Berry S. What is a good conversion rate? (and how does yours compare?) WebFX. 2020. Apr 15, [2022-03-23].
    1. Baca-Motes K, Edwards AM, Waalen J, Edmonds S, Mehta RR, Ariniello L, Ebner GS, Talantov D, Fastenau JM, Carter CT, Sarich TC, Felicione E, Topol EJ, Steinhubl SR. Digital recruitment and enrollment in a remote nationwide trial of screening for undiagnosed atrial fibrillation: lessons from the randomized, controlled mSToPS trial. Contemp Clin Trials Commun. 2019 Jun;14:100318. doi: 10.1016/j.conctc.2019.100318. S2451-8654(18)30168-6
    1. Spartano NL, Lin H, Sun F, Lunetta KL, Trinquart L, Valentino M, Manders ES, Pletcher MJ, Marcus GM, McManus DD, Benjamin EJ, Fox CS, Olgin JE, Murabito JM. Comparison of on-site versus remote mobile device support in the Framingham heart study using the health eHeart study for digital follow-up: randomized pilot study set within an observational study design. JMIR Mhealth Uhealth. 2019 Sep 30;7(9):e13238. doi: 10.2196/13238. v7i9e13238
    1. Smartphone ownership in advanced economies higher than in emerging. Pew Research Center. 2019. Feb 04, [2022-03-23].
    1. Avram R, Marquis-Gravel G, Simard F, Pacheco C, Couture É, Tremblay-Gravel M, Desplantie O, Malhamé I, Bibas L, Mansour S, Parent MC, Farand P, Harvey L, Lessard MG, Ly H, Liu G, Hay AE, Marc Jolicoeur E. Understanding the patient perspective on research access to national health records databases for conduct of randomized registry trials. Int J Cardiol. 2018 Jul 01;262:110–6. doi: 10.1016/j.ijcard.2017.12.074.S0167-5273(17)34123-2
    1. Pratap A, Allred R, Duffy J, Rivera D, Lee HS, Renn BN, Areán PA. Contemporary views of research participant willingness to participate and share digital data in biomedical research. JAMA Netw Open. 2019 Nov 01;2(11):e1915717. doi: 10.1001/jamanetworkopen.2019.15717. 2755666
    1. Faulkner M, Alikhaani J, Brown L, Cruz H, Davidson D, Gregoire K, Berdan L, Rorick T, Jones WS, Pletcher MJ. Exploring meaningful patient engagement in ADAPTABLE (aspirin dosing: a patient-centric trial assessing benefits and long-term effectiveness) Med Care. 2018 Oct;56 Suppl 10 Suppl 1:S11–5. doi: 10.1097/MLR.0000000000000949.
    1. Inan OT, Tenaerts P, Prindiville SA, Reynolds HR, Dizon DS, Cooper-Arnold K, Turakhia M, Pletcher MJ, Preston KL, Krumholz HM, Marlin BM, Mandl KD, Klasnja P, Spring B, Iturriaga E, Campo R, Desvigne-Nickens P, Rosenberg Y, Steinhubl SR, Califf RM. Digitizing clinical trials. NPJ Digit Med. 2020;3:101. doi: 10.1038/s41746-020-0302-y. doi: 10.1038/s41746-020-0302-y.302
    1. Nazha B, Mishra M, Pentz R, Owonikoko TK. Enrollment of racial minorities in clinical trials: old problem assumes new urgency in the age of immunotherapy. Am Soc Clin Oncol Educ Book. 2019 Jan;39:3–10. doi: 10.1200/EDBK_100021.

Source: PubMed

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