ODYSSEE-vCHAT Pilot Trial for Heart Failure
ODYSSEE-vCHAT
ODYSSEE-vCHAT Pilot Trial: a Virtual Community Promoting Health Literacy, Self-Care, and Peer Support for Heart Failure
4 other identifiers
interventional
61
1 country
3
Brief Summary
INTRODUCTION Psychological distress and reduced quality of life are prevalent within the heart failure (HF) population. The 1-year rehospitalization (40%) and 5-year mortality (45% for women and 60% for men) rates are high. International task force committees report that medical therapy combined with counselling for HF self-care optimizes clinical outcomes. HYPOTHESES At trial completion (median = 8.5 months, range = 2 to 15 months), ODYSSEE-vCHAT versus enhanced usual care (eUC) is predicted to reduce morbidity and mortality rates. Greater engagement with the digital program is also predicted to be linked with improved self-reported mental and physical health at months 4, 8, and 12 and trial completion. RECRUITMENT HF patients who are at least 18 years old were recruited from the University Health Network (UHN), Sunnybrook Hospital, Mount Sinai Hospital, and the community. Accrual of the sample (N = 61) occurred over 13 months. DESIGN ODYSSEE-vCHAT is a double-arm, parallel-group, randomized, controlled (real-world) pilot trial with assessments at baseline, months 4, 8, and 12, and trial completion (median = 8.5 months, range = 2 to 15 months). It is a single-blind trial, with research personnel blinded (excluding the research coordinator). All patients were provided with free access to their respective digital intervention, ODYSSEE-vCHAT or eUC. Subjects were invited by weekly emails to participate in the resources available to their group. eUC patients were provided with access to educational materials for HF self-care that are available to the public on professional heart health websites. Participation in supplementary programs that provide HF self-care education was not restricted, rather it was monitored by self-report during assessments and will be statistically controlled for during outcome assessments. ANALYSIS Separate generalized linear models (GLMs) will evaluate ODYSSEE-vCHAT versus eUC for primary and secondary outcomes. GLMs will be adjusted for baseline assessments and potential covariates. Interactions between treatment arm and gender will be examined for each outcome, using Bonferroni post-hoc comparisons for relevant subgroups. Significance in all tests will be p \< 0.05, 2-sided.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable heart-failure
Started Oct 2021
Shorter than P25 for not_applicable heart-failure
3 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 7, 2021
CompletedFirst Posted
Study publicly available on registry
July 19, 2021
CompletedStudy Start
First participant enrolled
October 25, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 16, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
January 16, 2023
CompletedDecember 19, 2024
December 1, 2024
1.2 years
July 7, 2021
December 16, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Composite index of incident all-cause mortality, all-cause ED visits, and HF-related hospitalization
The primary goal of the trial is to evaluate whether use of ODYSSEE-vCHAT versus eUC reduces the risk for a composite index of incident all-cause mortality, all-cause ED visits, and HF-related hospitalization. This data will be collected using the Ontario population-based databases at the Institute for the Clinical Evaluative Sciences (ICES). Data for patients will be linked to ICES databases via Ontario Health Insurance Plan (OHIP) number, first and last name, and date of birth using deterministic/probabilistic linkage (patient unique IKN number).
Trial completion (median = 8.5 months, range = 2 to 15 months)
Secondary Outcomes (17)
Incidence of all-cause mortality
Trial completion (median = 8.5 months, range = 2 to 15 months)
Incidence of all-cause ED visits
Trial completion (median = 8.5 months, range = 2 to 15 months)
Incidence of HF-related hospitalization
Trial completion (median = 8.5 months, range = 2 to 15 months)
Engagement with HF self-care resources
Months 4, 8, and 12 and trial completion (median = 8.5 months, range = 2 to 15 months)
Self-reported health-related quality of life
Months 4, 8, and 12 and trial completion (median = 8.5 months, range = 2 to 15 months)
- +12 more secondary outcomes
Other Outcomes (1)
Gender interactions
Months 4, 8, and 12 and trial completion (median = 8.5 months, range = 2 to 15 months)
Study Arms (2)
ODYSSEE-vCHAT
EXPERIMENTALODYSSEE-vCHAT consisted of: * Automated digital counselling resources (educational pages, videos, tools, and trackers) * Chatrooms available 24/7 * Weekly 30-minute webcasts led by a healthcare professional or patient representative Each aspect was informed by a rotating schedule of 7 weekly self-care themes. Webcasts were recorded and streamed to our private YouTube channel, and associated hyperlinks were shared on the program. Subjects had the option of submitting photographs depicting heart-healthy lifestyles and activities (with no identifying, sensitive, or personal information) to the Gallery Wall. Subjects were invited by email to access the resources available to them. They logged on to the program using password-protected personal accounts. Each participant's total number of logins and login time (with timestamps) were recorded. Assessments occurred online at baseline, months 4, 8, and 12, and trial completion (median = 8.5 months, range = 2 to 15 months).
eUC
NO INTERVENTIONeUC provided educational HF self-care resources that are available to the public on professional heart health websites (e.g., Heart Failure Society of Canada, American Heart Association, European Society of Cardiology, Health Canada). Patients were provided with unlimited access to these resources. Subjects were invited by weekly emails to partake in these resources. Self-reported assessments are administered at baseline, months 4, 8, and 12, and trial completion (median = 8.5 months, range = 2 to 15 months).
Interventions
Automated digital counselling program with social network support
Eligibility Criteria
You may qualify if:
- Biological males and females who are at least 18 years old and diagnosed with HF with reduced, mid-range, or preserved ejection fraction corresponding to the New York Heart Association Classes 2 to 4 (NYHA II-IV) for 3 or more months prior to enrollment
- Reduced (less than or equal to 40%), mid-range (41 to 49%), or preserved (equal to or greater than 50%) left ventricular ejection fraction, with documentation by ventriculography or quantitative echocardiography (these data are readily available as per the standard of care)
- No worsening of HF for 1 month prior to recruitment, as determined by a referring physician
- Receiving medical treatment in compliance with the Canadian Cardiovascular Society's guideline-directed therapy for at least 1 month prior to enrollment
- Oral and written comprehension of English
- Personal access to an email address, a computer, and the Internet
- Informed written consent
You may not qualify if:
- Scheduled for advanced surgical therapy (e.g., heart transplantation or implantation of a left ventricular assistive device) within 3 months of enrollment
- Record of significant comorbidities at enrollment that is expected to prohibit full participation (e.g., dementia, psychosis, or severe depression)
- HF secondary to uncorrected valvular cardiomyopathy, predominant right-sided HF, or a non-cardiac disease
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University Health Network, Torontolead
- Sunnybrook Health Sciences Centrecollaborator
- Mount Sinai Hospital, Canadacollaborator
Study Sites (3)
University Health Network
Toronto, Ontario, M2N 7A2, Canada
Sunnybrook Health Sciences Centre
Toronto, Ontario, M4N 3M5, Canada
Mount Sinai Hospital
Toronto, Ontario, M5G 1X5, Canada
Related Publications (58)
Rutledge T, Reis VA, Linke SE, Greenberg BH, Mills PJ. Depression in heart failure a meta-analytic review of prevalence, intervention effects, and associations with clinical outcomes. J Am Coll Cardiol. 2006 Oct 17;48(8):1527-37. doi: 10.1016/j.jacc.2006.06.055. Epub 2006 Sep 26.
PMID: 17045884BACKGROUNDDekker RL. Patient perspectives about depressive symptoms in heart failure: a review of the qualitative literature. J Cardiovasc Nurs. 2014 Jan-Feb;29(1):E9-15. doi: 10.1097/JCN.0b013e318273a5d6.
PMID: 23151836BACKGROUNDLee KS, Lennie TA, Wu JR, Biddle MJ, Moser DK. Depressive symptoms, health-related quality of life, and cardiac event-free survival in patients with heart failure: a mediation analysis. Qual Life Res. 2014 Aug;23(6):1869-76. doi: 10.1007/s11136-014-0636-5. Epub 2014 Feb 1.
PMID: 24488573BACKGROUNDLee DS, Johansen H, Gong Y, Hall RE, Tu JV, Cox JL; Canadian Cardiovascular Outcomes Research Team. Regional outcomes of heart failure in Canada. Can J Cardiol. 2004 May 1;20(6):599-607.
PMID: 15152289BACKGROUNDMalcom J, Arnold O, Howlett JG, Ducharme A, Ezekowitz JA, Gardner M, Giannetti N, Haddad H, Heckman GA, Isaac D, Jong P, Liu P, Mann E, McKelvie RS, Moe GW, Svendsen AM, Tsuyuki RT, O'Halloran K, Ross HJ, Sequeira EJ, White M; Canadian Cardiovascular Society. Canadian Cardiovascular Society Consensus Conference guidelines on heart failure--2008 update: best practices for the transition of care of heart failure patients, and the recognition, investigation and treatment of cardiomyopathies. Can J Cardiol. 2008 Jan;24(1):21-40. doi: 10.1016/s0828-282x(08)70545-2.
PMID: 18209766BACKGROUNDEzekowitz JA, O'Meara E, McDonald MA, Abrams H, Chan M, Ducharme A, Giannetti N, Grzeslo A, Hamilton PG, Heckman GA, Howlett JG, Koshman SL, Lepage S, McKelvie RS, Moe GW, Rajda M, Swiggum E, Virani SA, Zieroth S, Al-Hesayen A, Cohen-Solal A, D'Astous M, De S, Estrella-Holder E, Fremes S, Green L, Haddad H, Harkness K, Hernandez AF, Kouz S, LeBlanc MH, Masoudi FA, Ross HJ, Roussin A, Sussex B. 2017 Comprehensive Update of the Canadian Cardiovascular Society Guidelines for the Management of Heart Failure. Can J Cardiol. 2017 Nov;33(11):1342-1433. doi: 10.1016/j.cjca.2017.08.022. Epub 2017 Sep 6.
PMID: 29111106BACKGROUNDMcMurray JJ, Adamopoulos S, Anker SD, Auricchio A, Bohm M, Dickstein K, Falk V, Filippatos G, Fonseca C, Gomez-Sanchez MA, Jaarsma T, Kober L, Lip GY, Maggioni AP, Parkhomenko A, Pieske BM, Popescu BA, Ronnevik PK, Rutten FH, Schwitter J, Seferovic P, Stepinska J, Trindade PT, Voors AA, Zannad F, Zeiher A; ESC Committee for Practice Guidelines. ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure 2012: The Task Force for the Diagnosis and Treatment of Acute and Chronic Heart Failure 2012 of the European Society of Cardiology. Developed in collaboration with the Heart Failure Association (HFA) of the ESC. Eur Heart J. 2012 Jul;33(14):1787-847. doi: 10.1093/eurheartj/ehs104. Epub 2012 May 19. No abstract available.
PMID: 22611136BACKGROUNDBleumink GS, Knetsch AM, Sturkenboom MC, Straus SM, Hofman A, Deckers JW, Witteman JC, Stricker BH. Quantifying the heart failure epidemic: prevalence, incidence rate, lifetime risk and prognosis of heart failure The Rotterdam Study. Eur Heart J. 2004 Sep;25(18):1614-9. doi: 10.1016/j.ehj.2004.06.038.
PMID: 15351160BACKGROUNDBramley TJ, Gerbino PP, Nightengale BS, Frech-Tamas F. Relationship of blood pressure control to adherence with antihypertensive monotherapy in 13 managed care organizations. J Manag Care Pharm. 2006 Apr;12(3):239-45. doi: 10.18553/jmcp.2006.12.3.239.
PMID: 16623608BACKGROUNDGranger BB, Swedberg K, Ekman I, Granger CB, Olofsson B, McMurray JJ, Yusuf S, Michelson EL, Pfeffer MA; CHARM investigators. Adherence to candesartan and placebo and outcomes in chronic heart failure in the CHARM programme: double-blind, randomised, controlled clinical trial. Lancet. 2005 Dec 10;366(9502):2005-11. doi: 10.1016/S0140-6736(05)67760-4.
PMID: 16338449BACKGROUNDKhaw KT, Wareham N, Bingham S, Welch A, Luben R, Day N. Combined impact of health behaviours and mortality in men and women: the EPIC-Norfolk prospective population study. PLoS Med. 2008 Jan 8;5(1):e12. doi: 10.1371/journal.pmed.0050012.
PMID: 18184033BACKGROUNDRasmussen JN, Chong A, Alter DA. Relationship between adherence to evidence-based pharmacotherapy and long-term mortality after acute myocardial infarction. JAMA. 2007 Jan 10;297(2):177-86. doi: 10.1001/jama.297.2.177.
PMID: 17213401BACKGROUNDSimpson SH, Eurich DT, Majumdar SR, Padwal RS, Tsuyuki RT, Varney J, Johnson JA. A meta-analysis of the association between adherence to drug therapy and mortality. BMJ. 2006 Jul 1;333(7557):15. doi: 10.1136/bmj.38875.675486.55. Epub 2006 Jun 21.
PMID: 16790458BACKGROUNDMusekamp G, Schuler M, Seekatz B, Bengel J, Faller H, Meng K. Does improvement in self-management skills predict improvement in quality of life and depressive symptoms? A prospective study in patients with heart failure up to one year after self-management education. BMC Cardiovasc Disord. 2017 Feb 15;17(1):51. doi: 10.1186/s12872-017-0486-5.
PMID: 28196523BACKGROUNDEvangelista LS, Shinnick MA. What do we know about adherence and self-care? J Cardiovasc Nurs. 2008 May-Jun;23(3):250-7. doi: 10.1097/01.JCN.0000317428.98844.4d.
PMID: 18437067BACKGROUNDMarti CN, Georgiopoulou VV, Giamouzis G, Cole RT, Deka A, Tang WH, Dunbar SB, Smith AL, Kalogeropoulos AP, Butler J. Patient-reported selective adherence to heart failure self-care recommendations: a prospective cohort study: the Atlanta Cardiomyopathy Consortium. Congest Heart Fail. 2013 Jan-Feb;19(1):16-24. doi: 10.1111/j.1751-7133.2012.00308.x. Epub 2012 Sep 9.
PMID: 22958604BACKGROUNDCajita MI, Cajita TR, Han HR. Health Literacy and Heart Failure: A Systematic Review. J Cardiovasc Nurs. 2016 Mar-Apr;31(2):121-30. doi: 10.1097/JCN.0000000000000229.
PMID: 25569150BACKGROUNDManemann SM, Chamberlain AM, Roger VL, Griffin JM, Boyd CM, Cudjoe TKM, Jensen D, Weston SA, Fabbri M, Jiang R, Finney Rutten LJ. Perceived Social Isolation and Outcomes in Patients With Heart Failure. J Am Heart Assoc. 2018 May 23;7(11):e008069. doi: 10.1161/JAHA.117.008069.
PMID: 29794038BACKGROUNDZou H, Chen Y, Fang W, Zhang Y, Fan X. The mediation effect of health literacy between subjective social status and depressive symptoms in patients with heart failure. J Psychosom Res. 2016 Dec;91:33-39. doi: 10.1016/j.jpsychores.2016.10.006. Epub 2016 Oct 19.
PMID: 27894460BACKGROUNDMatsuoka S, Kato N, Kayane T, Yamada M, Koizumi M, Ikegame T, Tsuchihashi-Makaya M. Development and Validation of a Heart Failure-Specific Health Literacy Scale. J Cardiovasc Nurs. 2016 Mar-Apr;31(2):131-9. doi: 10.1097/JCN.0000000000000226.
PMID: 26049813BACKGROUNDZou H, Chen Y, Fang W, Zhang Y, Fan X. Identification of factors associated with self-care behaviors using the COM-B model in patients with chronic heart failure. Eur J Cardiovasc Nurs. 2017 Aug;16(6):530-538. doi: 10.1177/1474515117695722. Epub 2017 Feb 1.
PMID: 28756696BACKGROUNDBauer LK, Caro MA, Beach SR, Mastromauro CA, Lenihan E, Januzzi JL, Huffman JC. Effects of depression and anxiety improvement on adherence to medication and health behaviors in recently hospitalized cardiac patients. Am J Cardiol. 2012 May 1;109(9):1266-71. doi: 10.1016/j.amjcard.2011.12.017. Epub 2012 Feb 9.
PMID: 22325974BACKGROUNDTierney S, Mamas M, Woods S, Rutter MK, Gibson M, Neyses L, Deaton C. What strategies are effective for exercise adherence in heart failure? A systematic review of controlled studies. Heart Fail Rev. 2012 Jan;17(1):107-15. doi: 10.1007/s10741-011-9252-4.
PMID: 21567221BACKGROUNDMoraska AR, Chamberlain AM, Shah ND, Vickers KS, Rummans TA, Dunlay SM, Spertus JA, Weston SA, McNallan SM, Redfield MM, Roger VL. Depression, healthcare utilization, and death in heart failure: a community study. Circ Heart Fail. 2013 May;6(3):387-94. doi: 10.1161/CIRCHEARTFAILURE.112.000118. Epub 2013 Mar 19.
PMID: 23512984BACKGROUNDDaniel H, Sulmasy LS; Health and Public Policy Committee of the American College of Physicians. Policy recommendations to guide the use of telemedicine in primary care settings: an American College of Physicians position paper. Ann Intern Med. 2015 Nov 17;163(10):787-9. doi: 10.7326/M15-0498. Epub 2015 Sep 8.
PMID: 26344925BACKGROUNDCowie MR, Bax J, Bruining N, Cleland JG, Koehler F, Malik M, Pinto F, van der Velde E, Vardas P. e-Health: a position statement of the European Society of Cardiology. Eur Heart J. 2016 Jan 1;37(1):63-6. doi: 10.1093/eurheartj/ehv416. Epub 2015 Aug 24. No abstract available.
PMID: 26303835BACKGROUNDEapen ZJ, Turakhia MP, McConnell MV, Graham G, Dunn P, Tiner C, Rich C, Harrington RA, Peterson ED, Wayte P. Defining a Mobile Health Roadmap for Cardiovascular Health and Disease. J Am Heart Assoc. 2016 Jul 12;5(7):e003119. doi: 10.1161/JAHA.115.003119. No abstract available.
PMID: 27405809BACKGROUNDBhavnani 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.
PMID: 29169478BACKGROUNDStogios N, Kaur B, Huszti E, Vasanthan J, Nolan RP. Advancing Digital Health Interventions as a Clinically Applied Science for Blood Pressure Reduction: A Systematic Review and Meta-analysis. Can J Cardiol. 2020 May;36(5):764-774. doi: 10.1016/j.cjca.2019.11.010. Epub 2019 Nov 15.
PMID: 32249065BACKGROUNDWu RC, Delgado D, Costigan J, Ross H, MacIver J. Pilot study of an Internet patient-physician communication tool for heart failure disease management. World Hosp Health Serv. 2006;42(3):32-8.
PMID: 17249472BACKGROUNDSakakibara BM, Ross E, Arthur G, Brown-Ganzert L, Petrin S, Sedlak T, Lear SA. Using Mobile-Health to Connect Women with Cardiovascular Disease and Improve Self-Management. Telemed J E Health. 2017 Mar;23(3):233-239. doi: 10.1089/tmj.2016.0133. Epub 2016 Sep 13.
PMID: 27623231BACKGROUNDvan Woudenberg TJ, Simoski B, Fernandes de Mello Araujo E, Bevelander KE, Burk WJ, Smit CR, Buijs L, Klein M, Buijzen M. Identifying Influence Agents That Promote Physical Activity Through the Simulation of Social Network Interventions: Agent-Based Modeling Study. J Med Internet Res. 2019 Aug 5;21(8):e12914. doi: 10.2196/12914.
PMID: 31381504BACKGROUNDChung ML, Moser DK, Lennie TA, Frazier SK. Perceived social support predicted quality of life in patients with heart failure, but the effect is mediated by depressive symptoms. Qual Life Res. 2013 Sep;22(7):1555-63. doi: 10.1007/s11136-012-0294-4. Epub 2012 Oct 18.
PMID: 23076798BACKGROUNDTrinacty M, Farrell B, Schindel TJ, Sunstrum L, Dolovich L, Kennie N, Russell G, Waite N. Learning and networking: utilization of a primary care listserv by pharmacists. Can J Hosp Pharm. 2014 Sep;67(5):343-52. doi: 10.4212/cjhp.v67i5.1388.
PMID: 25364016BACKGROUNDSeidel RL, Jalilvand A, Kunjummen J, Gilliland L, Duszak R Jr. Radiologists and Social Media: Do Not Forget About Facebook. J Am Coll Radiol. 2018 Jan;15(1 Pt B):224-228. doi: 10.1016/j.jacr.2017.09.013. Epub 2017 Nov 11.
PMID: 29132999BACKGROUNDGomez-Pardo E, Fernandez-Alvira JM, Vilanova M, Haro D, Martinez R, Carvajal I, Carral V, Rodriguez C, de Miguel M, Bodega P, Santos-Beneit G, Penalvo JL, Marina I, Perez-Farinos N, Dal Re M, Villar C, Robledo T, Vedanthan R, Bansilal S, Fuster V. A Comprehensive Lifestyle Peer Group-Based Intervention on Cardiovascular Risk Factors: The Randomized Controlled Fifty-Fifty Program. J Am Coll Cardiol. 2016 Feb 9;67(5):476-85. doi: 10.1016/j.jacc.2015.10.033. Epub 2015 Nov 9.
PMID: 26562047BACKGROUNDWu JR, Frazier SK, Rayens MK, Lennie TA, Chung ML, Moser DK. Medication adherence, social support, and event-free survival in patients with heart failure. Health Psychol. 2013 Jun;32(6):637-46. doi: 10.1037/a0028527. Epub 2012 Jul 2.
PMID: 22746258BACKGROUNDRodriguez-Artalejo F, Guallar-Castillon P, Herrera MC, Otero CM, Chiva MO, Ochoa CC, Banegas JR, Pascual CR. Social network as a predictor of hospital readmission and mortality among older patients with heart failure. J Card Fail. 2006 Oct;12(8):621-7. doi: 10.1016/j.cardfail.2006.06.471.
PMID: 17045181BACKGROUNDBonniface L, Green L. Finding a new kind of knowledge on the HeartNET website. Health Info Libr J. 2007 Dec;24 Suppl 1:67-76. doi: 10.1111/j.1471-1842.2007.00742.x.
PMID: 18005296BACKGROUNDLau AY, Dunn A, Mortimer N, Proudfoot J, Andrews A, Liaw ST, Crimmins J, Arguel A, Coiera E. Consumers' online social network topologies and health behaviours. Stud Health Technol Inform. 2013;192:77-81.
PMID: 23920519BACKGROUNDGammon D, Strand M, Eng LS, Borosund E, Varsi C, Ruland C. Shifting Practices Toward Recovery-Oriented Care Through an E-Recovery Portal in Community Mental Health Care: A Mixed-Methods Exploratory Study. J Med Internet Res. 2017 May 2;19(5):e145. doi: 10.2196/jmir.7524.
PMID: 28465277BACKGROUNDToukhsati SR, Driscoll A, Hare DL. Patient Self-management in Chronic Heart Failure - Establishing Concordance Between Guidelines and Practice. Card Fail Rev. 2015 Oct;1(2):128-131. doi: 10.15420/cfr.2015.1.2.128.
PMID: 28785446BACKGROUNDNolan RP, Payne AY, Ross H, White M, D'Antono B, Chan S, Barr SI, Gwadry-Sridhar F, Nigam A, Perreault S, Farkouh M, McDonald M, Goodman J, Thomas S, Zieroth S, Isaac D, Oh P, Rajda M, Chen M, Eysenbach G, Liu S, Zbib A. An Internet-Based Counseling Intervention With Email Reminders that Promotes Self-Care in Adults With Chronic Heart Failure: Randomized Controlled Trial Protocol. JMIR Res Protoc. 2014 Jan 30;3(1):e5. doi: 10.2196/resprot.2957.
PMID: 24480783BACKGROUNDWare JE Jr. SF-36 health survey update. Spine (Phila Pa 1976). 2000 Dec 15;25(24):3130-9. doi: 10.1097/00007632-200012150-00008. No abstract available.
PMID: 11124729BACKGROUNDGreen CP, Porter CB, Bresnahan DR, Spertus JA. Development and evaluation of the Kansas City Cardiomyopathy Questionnaire: a new health status measure for heart failure. J Am Coll Cardiol. 2000 Apr;35(5):1245-55. doi: 10.1016/s0735-1097(00)00531-3.
PMID: 10758967BACKGROUNDLorig KR, Sobel DS, Ritter PL, Laurent D, Hobbs M. Effect of a self-management program on patients with chronic disease. Eff Clin Pract. 2001 Nov-Dec;4(6):256-62.
PMID: 11769298BACKGROUNDVaglio J Jr, Conard M, Poston WS, O'Keefe J, Haddock CK, House J, Spertus JA. Testing the performance of the ENRICHD Social Support Instrument in cardiac patients. Health Qual Life Outcomes. 2004 May 13;2:24. doi: 10.1186/1477-7525-2-24.
PMID: 15142277BACKGROUNDKroenke K, Spitzer RL, Williams JB, Lowe B. The Patient Health Questionnaire Somatic, Anxiety, and Depressive Symptom Scales: a systematic review. Gen Hosp Psychiatry. 2010 Jul-Aug;32(4):345-59. doi: 10.1016/j.genhosppsych.2010.03.006. Epub 2010 May 7.
PMID: 20633738BACKGROUNDSpitzer RL, Kroenke K, Williams JB, Lowe 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.
PMID: 16717171BACKGROUNDWongpakaran N, Wongpakaran T, Pinyopornpanish M, Simcharoen S, Suradom C, Varnado P, Kuntawong P. Development and validation of a 6-item Revised UCLA Loneliness Scale (RULS-6) using Rasch analysis. Br J Health Psychol. 2020 May;25(2):233-256. doi: 10.1111/bjhp.12404. Epub 2020 Jan 30.
PMID: 31999891BACKGROUNDHumeniuk R, Ali R, Babor T, Souza-Formigoni ML, de Lacerda RB, Ling W, McRee B, Newcombe D, Pal H, Poznyak V, Simon S, Vendetti J. A randomized controlled trial of a brief intervention for illicit drugs linked to the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST) in clients recruited from primary health-care settings in four countries. Addiction. 2012 May;107(5):957-66. doi: 10.1111/j.1360-0443.2011.03740.x. Epub 2012 Feb 28.
PMID: 22126102BACKGROUNDKrum H, Forbes A, Yallop J, Driscoll A, Croucher J, Chan B, Clark R, Davidson P, Huynh L, Kasper EK, Hunt D, Egan H, Stewart S, Piterman L, Tonkin A. Telephone support to rural and remote patients with heart failure: the Chronic Heart Failure Assessment by Telephone (CHAT) study. Cardiovasc Ther. 2013 Aug;31(4):230-7. doi: 10.1111/1755-5922.12009.
PMID: 23061492BACKGROUNDNolan RP, Ross HJ, Farkouh ME, Huszti E, Chan S, Toma M, D'Antono B, White M, Thomas S, Barr SI, Perreault S, McDonald M, Zieroth S, Isaac D, Wielgosz A, Mielniczuk LM. Automated E-Counseling for Chronic Heart Failure: CHF-CePPORT Trial. Circ Heart Fail. 2021 Jan;14(1):e007073. doi: 10.1161/CIRCHEARTFAILURE.120.007073. Epub 2021 Jan 19.
PMID: 33464959BACKGROUNDFezza G, Sansone S, Surikova J, Hustzi E, Ross H and Nolan RP. Patient engagement with an e-Counselling platform is enhanced over 12 months in the CHF-CePPORT trial. Can J Cardiol. 2018;10:148-9.
BACKGROUNDPayne AY, Surikova J, Liu S, Ross H, Mechetiuc T, Nolan RP. Usability Testing of an Internet-Based e-Counseling Platform for Adults With Chronic Heart Failure. JMIR Hum Factors. 2015 May 8;2(1):e7. doi: 10.2196/humanfactors.4125.
PMID: 27026267BACKGROUNDSpertus J, Peterson E, Conard MW, Heidenreich PA, Krumholz HM, Jones P, McCullough PA, Pina I, Tooley J, Weintraub WS, Rumsfeld JS; Cardiovascular Outcomes Research Consortium. Monitoring clinical changes in patients with heart failure: a comparison of methods. Am Heart J. 2005 Oct;150(4):707-15. doi: 10.1016/j.ahj.2004.12.010.
PMID: 16209970BACKGROUNDJaarsma T, Arestedt KF, Martensson J, Dracup K, Stromberg A. The European Heart Failure Self-care Behaviour scale revised into a nine-item scale (EHFScB-9): a reliable and valid international instrument. Eur J Heart Fail. 2009 Jan;11(1):99-105. doi: 10.1093/eurjhf/hfn007.
PMID: 19147463BACKGROUNDPeiris RG, Ross H, Chan CT, Poon S, Auguste BL, Rac VE, Farkouh M, McDonald M, Kaczorowski J, Code J, Duero Posada J, Ong S, Kobulnik J, Tomlinson G, Huszti E, Arcand J, Thomas SG, Akbari A, Maunder R, Grover S, Seto E, Simard A, Pope B, Bains M, McIntyre C, Torbay C, Syed F, Nolan RP. Automated digital counselling with social network support as a novel intervention for patients with heart failure: protocol for randomised controlled trial. BMJ Open. 2022 Sep 5;12(9):e059635. doi: 10.1136/bmjopen-2021-059635.
PMID: 36691152DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Rob P Nolan, PhD
University Health Network, Toronto
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- INVESTIGATOR
- Masking Details
- An independent statistician logged on to a secure program (managed by the UHN THETA institute) that used randomly permuted blocks to assign subjects to ODYSSEE-vCHAT or the control group. To reduce the chance of patient allocation being predictable, we followed the convention whereby the block sizes and the fraction of each block size were known only by an independent statistician. We tested this algorithm with staff at THETA prior to subject recruitment. Our team of investigators remained blinded to ensure impartiality in decisions about procedures and analyses.
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 7, 2021
First Posted
July 19, 2021
Study Start
October 25, 2021
Primary Completion
January 16, 2023
Study Completion
January 16, 2023
Last Updated
December 19, 2024
Record last verified: 2024-12
Data Sharing
- IPD Sharing
- Will not share