Implementing Digital Health in a Learning Health System

Hypertension Clinical Trial

— ASE-INNOVATE  

Official title:

Implementation of High Definition Screening Using Handheld Imaging and Digital Health Technologies Within a Learning Health System to Identify Cardiovascular Disease at the Point-of-care: The ASE-INNOVATE Program

Clinical Trial Details — Status: Not yet recruiting

Administrative data

• NCT number: NCT03713333
• Other study ID #: Pro00029622
• Status: Not yet recruiting
• Phase: N/A
• Start date: October 20, 2018
• Est. completion date: October 20, 2019

Study information

• Verified date: October 2018
• Source: Scripps Health
• Contact: Partho P Sengupta, MD
• Phone: 304-598-4478
• Email: partho.sengupta[@]hsc.wvu.edu
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial 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.

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 on measures of healthcare efficiency.

Handheld imaging and digital technologies provide a rapid diagnostic assessment at the time of a healthcare encounter. As such, the potential of such devices to improve healthcare efficiency is significant. Measures of healthcare efficiency directly related to digital health technologies 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 at the point-of-care.

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.

Recruitment information / eligibility

• Status: Not yet recruiting
• Enrollment: 500
• Est. completion date: October 20, 2019
• Est. primary completion date: October 20, 2019
• Accepts healthy volunteers: No
• Gender: All
• Age group: 18 Years and older

Eligibility

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:

• Those not willing to consent

Related Conditions & MeSH terms

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

Intervention

Diagnostic Test:
• Digital 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)

Locations

Country	Name	City	State
n/a

Sponsors (2)

Lead Sponsor	Collaborator
Scripps Health	West Virginia University

References & Publications (28)

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. Review. — View Citation

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. Review. — View Citation

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-e — View Citation

Bardsley M, Steventon A, Doll H. Impact of telehealth on general practice contacts: findings from the whole systems demonstrator cluster randomised trial. BMC Health Serv Res. 2013 Oct 8;13:395. doi: 10.1186/1472-6963-13-395. — View Citation

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. Review. — View Citation

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. — View Citation

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. — View Citation

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. Review. — View Citation

Delaney SK, Hultner ML, Jacob HJ, Ledbetter DH, McCarthy JJ, Ball M, Beckman KB, Belmont JW, Bloss CS, Christman MF, Cosgrove A, Damiani SA, Danis T, Delledonne M, Dougherty MJ, Dudley JT, Faucett WA, Friedman JR, Haase DH, Hays TS, Heilsberg S, Huber J, Kaminsky L, Ledbetter N, Lee WH, Levin E, Libiger O, Linderman M, Love RL, Magnus DC, Martland A, McClure SL, Megill SE, Messier H, Nussbaum RL, Palaniappan L, Patay BA, Popovich BW, Quackenbush J, Savant MJ, Su MM, Terry SF, Tucker S, Wong WT, Green RC. Toward clinical genomics in everyday medicine: perspectives and recommendations. Expert Rev Mol Diagn. 2016;16(5):521-32. doi: 10.1586/14737159.2016.1146593. Epub 2016 Feb 24. — View Citation

Halcox JPJ, Wareham K, Cardew A, Gilmore M, Barry JP, Phillips C, Gravenor MB. Assessment of Remote Heart Rhythm Sampling Using the AliveCor Heart Monitor to Screen for Atrial Fibrillation: The REHEARSE-AF Study. Circulation. 2017 Nov 7;136(19):1784-1794. — View Citation

Henderson C, Knapp M, Fernández JL, Beecham J, Hirani SP, Beynon M, Cartwright M, Rixon L, Doll H, Bower P, Steventon A, Rogers A, Fitzpatrick R, Barlow J, Bardsley M, Newman SP. Cost-effectiveness of telecare for people with social care needs: the Whole Systems Demonstrator cluster randomised trial. Age Ageing. 2014 Nov;43(6):794-800. doi: 10.1093/ageing/afu067. Epub 2014 Jun 20. — View Citation

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 Tele — View Citation

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: — View Citation

Kimura BJ, Shaw DJ, Amundson SA, Phan JN, Blanchard DG, DeMaria AN. Cardiac Limited Ultrasound Examination Techniques to Augment the Bedside Cardiac Physical Examination. J Ultrasound Med. 2015 Sep;34(9):1683-90. doi: 10.7863/ultra.15.14.09002. Epub 2015 — View Citation

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. — View Citation

Loudon K, Treweek S, Sullivan F, Donnan P, Thorpe KE, Zwarenstein M. The PRECIS-2 tool: designing trials that are fit for purpose. BMJ. 2015 May 8;350:h2147. doi: 10.1136/bmj.h2147. — View Citation

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 at — View Citation

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. Review. — View Citation

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. — View Citation

Owusu Obeng A, Fei K, Levy KD, Elsey AR, Pollin TI, Ramirez AH, Weitzel KW, Horowitz CR. Physician-Reported Benefits and Barriers to Clinical Implementation of Genomic Medicine: A Multi-Site IGNITE-Network Survey. J Pers Med. 2018 Jul 24;8(3). pii: E24. d — View Citation

Singh S, Bansal M, Maheshwari P, Adams D, Sengupta SP, Price R, Dantin L, Smith M, Kasliwal RR, Pellikka PA, Thomas JD, Narula J, Sengupta PP; ASE-REWARD Study Investigators. American Society of Echocardiography: Remote Echocardiography with Web-Based Assessments for Referrals at a Distance (ASE-REWARD) Study. J Am Soc Echocardiogr. 2013 Mar;26(3):221-33. doi: 10.1016/j.echo.2012.12.012. — View Citation

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. — View Citation

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 System — View Citation

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 — View Citation

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 — View Citation

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, Sant — View Citation

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. Review. — View Citation

Weinfurt KP, Hernandez AF, Coronado GD, DeBar LL, Dember LM, Green BB, Heagerty PJ, Huang SS, James KT, Jarvik JG, Larson EB, Mor V, Platt R, Rosenthal GE, Septimus EJ, Simon GE, Staman KL, Sugarman J, Vazquez M, Zatzick D, Curtis LH. Pragmatic clinical t — View Citation

* Note: There are 28 references in all — Click here to view all references

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	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	30 days
Primary	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	30 days
Primary	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	180 days
Secondary	Mobile Cardiac Telemetry	Number of referrals for mobile cardiac telemetry monitoring between randomized arms	180 days
Secondary	Diagnostic Imaging	Number of referrals for diagnostic imaging with transthoracic echocardiography between randomized arms	180 days
Secondary	Heart Failure	Incidence of heart failure diagnosed between randomized arms	180 days
Secondary	Atrial Fibrillation	Incidence of atrial fibrillation diagnosed between randomized arms	180 days
Secondary	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	180 days
Secondary	Hospitalization	Percentage of patients hospitalized for a cardiac condition (example; myocardial infarction, heart failure, atrial fibrillation, and stroke) between randomized arms	180 days
Secondary	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	180 days
Secondary	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	180 days

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