ClinicalTrials.gg
CompletedNCT03713333ASE-INNOVATEUpdated Apr 18, 2024

Implementing Digital Health in a Learning Health System

An interventional study of Digital Health Device Diagnostics in Cardiovascular Diseases, Hypertension and Heart Failure, sponsored by Scripps Health. Completed at 1 site in United States. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2024-04-18.

Sponsored by Scripps Health · Not applicable, Interventional, and Screening

From the registry’s dates

  • Primary completion was Dec 2019, 6 years 10 months ago, and no results have been posted to the registry.
Phase
Not applicable
Study type
Interventional
Enrollment
374
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study summary

The need for new models of integrated care that can improve the efficiency of healthcare and reduce the costs are key priorities for health systems across the United States. Treatment costs for patients with at least one chronic medical or cardiovascular condition make up over 4-trillion dollars in spending on healthcare, with estimations of a population prevalence of 100-million affected individuals within the next decade. Therefore, the management of chronic conditions requires innovative and new implementation methods that improve outcomes, reduce costs, and increase healthcare efficiencies. Digital health, the use of mobile computing and communication technologies as an integral new models of care is seen as one potential solution. Despite the potential applications, there is limited data to support that new technologies improve healthcare outcomes. To do so requires; 1) robust methods to determine the impact of new technologies on healthcare outcomes and costs; and 2) evaluative mechanisms for how new devices are integrated into patient care. In this regard, the proposed clinical trial aims to advance the investigator's knowledge and to demonstrate the pragmatic utilization of new technologies within a learning healthcare system providing services to high-risk patient populations.

Read the detailed description

Objective #1: Determine the effectiveness of handheld imaging and digital health devices on long term health and patient-reported outcomes through pragmatic and randomized clinical trial designs.

Objective #2: Assess the impact of digital health devices and remote patient monitoring (RPM) on measures of healthcare efficiency. Measures of healthcare efficiency directly related to digital health technologies and RPM include: identify which interventions can improve care; define the variations in care and; demonstrate within which patient populations digital health technologies are most effective.

Objective #3: Apply integration methods for handheld imaging and digital health devices used for clinical decisions.

Achieving integration and interoperability-the ability of different information technology systems and software applications to communicate and exchange data with each other-requires identification for precisely how new innovations merge into systems of care and are applied to various practice settings.

02

Conditions studied

  • Cardiovascular Diseases
  • Hypertension
  • Heart Failure
  • Atrial Fibrillation
  • Metabolic Syndrome
  • Genetic Disease

Keywords

  • digital health
  • handheld ultrasound
  • smartphone ECG
  • mobile health
  • point of care genomics
  • big data
  • artificial intelligence
  • learning health system
03

In context

Cardiovascular Diseases

5,025 studies on the registry are indexed under Cardiovascular Diseases; 930 are open to participants now.

This study's enrollment of 374 is above the median of 100 across 2,801 interventional studies indexed under Cardiovascular Diseases.

Browse Cardiovascular Diseases studies →

Lead sponsor

Scripps Health is the lead sponsor of 48 studies on the registry; 8 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • All participants of the ASE 2018 Outreach Event who are at least 18 years old who are referred for a cardiac evaluation

Exclusion criteria

Exclusion Criteria:

  • Those not willing to consent
05

Study design

Phase
Not applicable
Primary purpose
Screening
Allocation
Randomized
Intervention model
Sequential assignment
Masking
Triple (Care provider, Investigator, Outcomes assessor)
Enrollment
374 participants (actual)

Study arms

  • Experimental
    Technology-Enabled Visitations

    Technology-enabled visitations with digital health will include the following devices used at the time of a patient-physician encounter. These findings will be available to the treating physician at the time the visitation and to be used for clinical decisions.

    Diagnostic Test: Digital Health Device Diagnostics

  • No intervention
    Standard-Care Visitations

    Standard-care is defined as the range of services available during usual patient care. Handheld Imaging and digital health screening will be performed in the control group after the patient-physician encounter. As such, patients and physicians will be blinded to the diagnostic findings unless an abnormal finding is detected that requires physician review and triage for further care.

Interventions

  • Diagnostic testDigital Health Device Diagnostics

    Technology-enabled visitations with digital health will include the following devices used at the time of a patient-physician encounter. These findings will be available to the treating physician at the time the visitation and to be used for clinical decisions. * Handheld imaging - focused echocardiographic examination (Butterfly IQ) * Smartphone iECG for cardiac rhythm assessments (Alivecor) * Blood Pressure (CloudDX) * Oxygen Saturation (CloudDX) * Weight (CloudDX) * Point-of-Care Genetic Testing (Phosphorous)

06

What researchers measure

Primary outcomes

  1. Health Economic Outcomes

    Economic difference between the total costs of care between randomized arms including; clinic visitations, hospitalizations, emergency room visitations, and diagnostic testing. Collected as cumulative diagnosis-related group (DRG) and current procedural terminology (CPT) amounts in United States Dollars

    Time frame: 180 days

Secondary outcomes

  1. Mobile Cardiac Telemetry

    Number of referrals for mobile cardiac telemetry monitoring between randomized arms

    Time frame: 180 days

  2. Health Economic Outcomes

    Economic difference between the total costs of care between randomized arms including; clinic visitations, hospitalizations, emergency room visitations, and diagnostic testing. Collected as cumulative diagnosis-related group (DRG) and current procedural terminology (CPT) amounts in United States Dollars

    Time frame: 30 days

  3. Patient-Reported Outcome Measures

    Veterans Research and Development Corporation-12 Patient Reported Outcomes (mean total score 50 +/- 10) where higher values are associated with greater mental and physical debility

    Time frame: 30 days

  4. Patient-Reported Outcome Measures

    Veterans Research and Development Corporation-12 Patient Reported Outcomes (mean total score 50 +/- 10) where higher values are associated with greater mental and physical debility

    Time frame: 180 days

  5. Patient-Reported Experience Measures

    Agency for Healthcare Research and Quality Consumer Assessment of Healthcare Providers and Systems (average scores and difference between randomized arms) where higher scores are associated with greater patient satisfaction and patient experience

    Time frame: 30 days

  6. Patient-Reported Experience Measures

    Agency for Healthcare Research and Quality Consumer Assessment of Healthcare Providers and Systems (average scores and difference between randomized arms) where higher scores are associated with greater patient satisfaction and patient experience

    Time frame: 180 days

  7. Diagnostic Imaging

    Number of referrals for diagnostic imaging with transthoracic echocardiography between randomized arms

    Time frame: 180 days

  8. Heart Failure

    Incidence of heart failure diagnosed between randomized arms

    Time frame: 180 days

  9. Atrial Fibrillation

    Incidence of atrial fibrillation diagnosed between randomized arms

    Time frame: 180 days

  10. Emergency Department Visitations

    Percentage of patients presenting to the emergency department for a cardiac condition (example; myocardial infarction, heart failure, atrial fibrillation, and stroke) between randomized arms

    Time frame: 180 days

  11. Hospitalization

    Percentage of patients hospitalized for a cardiac condition (example; myocardial infarction, heart failure, atrial fibrillation, and stroke) between randomized arms

    Time frame: 180 days

  12. Clinic Visitations

    Percentage of patients presenting for a clinical visitation for a cardiac condition (example; myocardial infarction, heart failure, atrial fibrillation, and stroke) between randomized arms

    Time frame: 180 days

  13. Medical Therapy

    Percentage of patients initiating medical therapy for a cardiac condition including: heart failure, coronary artery disease, atrial fibrillation, and/or hypertension between randomized arms

    Time frame: 180 days

07

Study locations

1 site
  • West Virgina University
    Morgantown, West Virginia 26506, United States
08

References and documents

Publications

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  • Bansal M, Sengupta PP. How to interpret an echocardiography report (for the non-imager)? Heart. 2017 Nov;103(21):1733-1744. doi: 10.1136/heartjnl-2016-309443. Epub 2017 Sep 7. No abstract available. PubMed 28883036 ↗
  • Bansal M, Sengupta PP. Setting global standards in adult echocardiography: Where are we? Indian Heart J. 2015 Jul-Aug;67(4):298-301. doi: 10.1016/j.ihj.2015.07.020. Epub 2015 Aug 21. No abstract available. PubMed 26304560 ↗
  • Bhavnani SP, Parakh K, Atreja A, Druz R, Graham GN, Hayek SS, Krumholz HM, Maddox TM, Majmudar MD, Rumsfeld JS, Shah BR. 2017 Roadmap for Innovation-ACC Health Policy Statement on Healthcare Transformation in the Era of Digital Health, Big Data, and Precision Health: A Report of the American College of Cardiology Task Force on Health Policy Statements and Systems of Care. J Am Coll Cardiol. 2017 Nov 28;70(21):2696-2718. doi: 10.1016/j.jacc.2017.10.018. No abstract available. PubMed 29169478 ↗
  • Chamsi-Pasha MA, Sengupta PP, Zoghbi WA. Handheld Echocardiography: Current State and Future Perspectives. Circulation. 2017 Nov 28;136(22):2178-2188. doi: 10.1161/CIRCULATIONAHA.117.026622. PubMed 29180495 ↗
  • Levine DM, Linder JA, Landon BE. The Quality of Outpatient Care Delivered to Adults in the United States, 2002 to 2013. JAMA Intern Med. 2016 Dec 1;176(12):1778-1790. doi: 10.1001/jamainternmed.2016.6217. PubMed 27749962 ↗
  • Maddox TM, Albert NM, Borden WB, Curtis LH, Ferguson TB Jr, Kao DP, Marcus GM, Peterson ED, Redberg R, Rumsfeld JS, Shah ND, Tcheng JE; American Heart Association Council on Quality of Care and Outcomes Research; Council on Cardiovascular Disease in the Young; Council on Clinical Cardiology; Council on Functional Genomics and Translational Biology; and Stroke Council. The Learning Healthcare System and Cardiovascular Care: A Scientific Statement From the American Heart Association. Circulation. 2017 Apr 4;135(14):e826-e857. doi: 10.1161/CIR.0000000000000480. Epub 2017 Mar 2. PubMed 28254835 ↗
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  • Orlando LA, Sperber NR, Voils C, Nichols M, Myers RA, Wu RR, Rakhra-Burris T, Levy KD, Levy M, Pollin TI, Guan Y, Horowitz CR, Ramos M, Kimmel SE, McDonough CW, Madden EB, Damschroder LJ. Developing a common framework for evaluating the implementation of genomic medicine interventions in clinical care: the IGNITE Network's Common Measures Working Group. Genet Med. 2018 Jun;20(6):655-663. doi: 10.1038/gim.2017.144. Epub 2017 Sep 14. PubMed 28914267 ↗
  • Via G, Hussain A, Wells M, Reardon R, ElBarbary M, Noble VE, Tsung JW, Neskovic AN, Price S, Oren-Grinberg A, Liteplo A, Cordioli R, Naqvi N, Rola P, Poelaert J, Gulic TG, Sloth E, Labovitz A, Kimura B, Breitkreutz R, Masani N, Bowra J, Talmor D, Guarracino F, Goudie A, Xiaoting W, Chawla R, Galderisi M, Blaivas M, Petrovic T, Storti E, Neri L, Melniker L; International Liaison Committee on Focused Cardiac UltraSound (ILC-FoCUS); International Conference on Focused Cardiac UltraSound (IC-FoCUS). International evidence-based recommendations for focused cardiac ultrasound. J Am Soc Echocardiogr. 2014 Jul;27(7):683.e1-683.e33. doi: 10.1016/j.echo.2014.05.001. PubMed 24951446 ↗
  • Spencer KT, Kimura BJ, Korcarz CE, Pellikka PA, Rahko PS, Siegel RJ. Focused cardiac ultrasound: recommendations from the American Society of Echocardiography. J Am Soc Echocardiogr. 2013 Jun;26(6):567-81. doi: 10.1016/j.echo.2013.04.001. No abstract available. PubMed 23711341 ↗
  • Bhavnani SP, Sola S, Adams D, Venkateshvaran A, Dash PK, Sengupta PP; ASEF-VALUES Investigators. A Randomized Trial of Pocket-Echocardiography Integrated Mobile Health Device Assessments in Modern Structural Heart Disease Clinics. JACC Cardiovasc Imaging. 2018 Apr;11(4):546-557. doi: 10.1016/j.jcmg.2017.06.019. Epub 2017 Oct 5. PubMed 28917688 ↗
  • Bhavnani SP, Narula J, Sengupta PP. Mobile technology and the digitization of healthcare. Eur Heart J. 2016 May 7;37(18):1428-38. doi: 10.1093/eurheartj/ehv770. Epub 2016 Feb 11. PubMed 26873093 ↗
  • Bansal M, Singh S, Maheshwari P, Adams D, McCulloch ML, Dada T, Sengupta SP, Kasliwal RR, Pellikka PA, Sengupta PP; VISION-in-Tele-Echo Study Investigators. Value of interactive scanning for improving the outcome of new-learners in transcontinental tele-echocardiography (VISION-in-Tele-Echo) study. J Am Soc Echocardiogr. 2015 Jan;28(1):75-87. doi: 10.1016/j.echo.2014.09.001. Epub 2014 Oct 8. PubMed 25306222 ↗
  • Lowres N, Neubeck L, Salkeld G, Krass I, McLachlan AJ, Redfern J, Bennett AA, Briffa T, Bauman A, Martinez C, Wallenhorst C, Lau JK, Brieger DB, Sy RW, Freedman SB. Feasibility and cost-effectiveness of stroke prevention through community screening for atrial fibrillation using iPhone ECG in pharmacies. The SEARCH-AF study. Thromb Haemost. 2014 Jun;111(6):1167-76. doi: 10.1160/TH14-03-0231. Epub 2014 Apr 1. PubMed 24687081 ↗
  • Kaczorowski J, Chambers LW, Dolovich L, Paterson JM, Karwalajtys T, Gierman T, Farrell B, McDonough B, Thabane L, Tu K, Zagorski B, Goeree R, Levitt CA, Hogg W, Laryea S, Carter MA, Cross D, Sabaldt RJ. Improving cardiovascular health at population level: 39 community cluster randomised trial of Cardiovascular Health Awareness Program (CHAP). BMJ. 2011 Feb 7;342:d442. doi: 10.1136/bmj.d442. PubMed 21300712 ↗
  • US Burden of Disease Collaborators; Mokdad AH, Ballestros K, Echko M, Glenn S, Olsen HE, Mullany E, Lee A, Khan AR, Ahmadi A, Ferrari AJ, Kasaeian A, Werdecker A, Carter A, Zipkin B, Sartorius B, Serdar B, Sykes BL, Troeger C, Fitzmaurice C, Rehm CD, Santomauro D, Kim D, Colombara D, Schwebel DC, Tsoi D, Kolte D, Nsoesie E, Nichols E, Oren E, Charlson FJ, Patton GC, Roth GA, Hosgood HD, Whiteford HA, Kyu H, Erskine HE, Huang H, Martopullo I, Singh JA, Nachega JB, Sanabria JR, Abbas K, Ong K, Tabb K, Krohn KJ, Cornaby L, Degenhardt L, Moses M, Farvid M, Griswold M, Criqui M, Bell M, Nguyen M, Wallin M, Mirarefin M, Qorbani M, Younis M, Fullman N, Liu P, Briant P, Gona P, Havmoller R, Leung R, Kimokoti R, Bazargan-Hejazi S, Hay SI, Yadgir S, Biryukov S, Vollset SE, Alam T, Frank T, Farid T, Miller T, Vos T, Barnighausen T, Gebrehiwot TT, Yano Y, Al-Aly Z, Mehari A, Handal A, Kandel A, Anderson B, Biroscak B, Mozaffarian D, Dorsey ER, Ding EL, Park EK, Wagner G, Hu G, Chen H, Sunshine JE, Khubchandani J, Leasher J, Leung J, Salomon J, Unutzer J, Cahill L, Cooper L, Horino M, Brauer M, Breitborde N, Hotez P, Topor-Madry R, Soneji S, Stranges S, James S, Amrock S, Jayaraman S, Patel T, Akinyemiju T, Skirbekk V, Kinfu Y, Bhutta Z, Jonas JB, Murray CJL. The State of US Health, 1990-2016: Burden of Diseases, Injuries, and Risk Factors Among US States. JAMA. 2018 Apr 10;319(14):1444-1472. doi: 10.1001/jama.2018.0158. PubMed 29634829 ↗
  • Steventon A, Bardsley M, Billings J, Dixon J, Doll H, Beynon M, Hirani S, Cartwright M, Rixon L, Knapp M, Henderson C, Rogers A, Hendy J, Fitzpatrick R, Newman S. Effect of telecare on use of health and social care services: findings from the Whole Systems Demonstrator cluster randomised trial. Age Ageing. 2013 Jul;42(4):501-8. doi: 10.1093/ageing/aft008. Epub 2013 Feb 25. PubMed 23443509 ↗
  • Steventon A, Bardsley M, Billings J, Dixon J, Doll H, Hirani S, Cartwright M, Rixon L, Knapp M, Henderson C, Rogers A, Fitzpatrick R, Hendy J, Newman S; Whole System Demonstrator Evaluation Team. Effect of telehealth on use of secondary care and mortality: findings from the Whole System Demonstrator cluster randomised trial. BMJ. 2012 Jun 21;344:e3874. doi: 10.1136/bmj.e3874. PubMed 22723612 ↗
  • Hirani SP, Rixon L, Beynon M, Cartwright M, Cleanthous S, Selva A, Sanders C, Newman SP; WSD investigators. Quantifying beliefs regarding telehealth: Development of the Whole Systems Demonstrator Service User Technology Acceptability Questionnaire. J Telemed Telecare. 2017 May;23(4):460-469. doi: 10.1177/1357633X16649531. Epub 2016 May 25. PubMed 27224997 ↗
  • Steventon A, Grieve R, Bardsley M. An Approach to Assess Generalizability in Comparative Effectiveness Research: A Case Study of the Whole Systems Demonstrator Cluster Randomized Trial Comparing Telehealth with Usual Care for Patients with Chronic Health Conditions. Med Decis Making. 2015 Nov;35(8):1023-36. doi: 10.1177/0272989X15585131. Epub 2015 May 18. PubMed 25986472 ↗
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Related links

Individual participant data

Plan to share: Undecided

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Apr 18, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT03713333
Lead sponsor
Scripps Health
Responsible party
Sanjeev Bhavnani MD (Principal Investigator - Healthcare Innovation, Scripps Health) — Principal investigator
First posted
Oct 19, 2018
Start date
Oct 20, 2018
Primary completion
Dec 20, 2019
Completion
Mar 20, 2020
Last update
Apr 18, 2024

Study contacts

Partho Sengupta, MD
principal investigator · West Virginia University Heart and Vascular Institute
Sanjeev Bhavnani, MD
study director · Scripps Clinic

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
Yes
View the source record on ClinicalTrials.gov ↗

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