Interventions supporting long term adherence and decreasing cardiovascular events after myocardial infarction (ISLAND): pragmatic randomised controlled trial

Noah M Ivers, Jon-David Schwalm, Zachary Bouck, Tara McCready, Monica Taljaard, Sherry L Grace, Jennifer Cunningham, Beth Bosiak, Justin Presseau, Holly O Witteman, Neville Suskin, Harindra C Wijeysundera, Clare Atzema, R Sacha Bhatia, Madhu Natarajan, Jeremy M Grimshaw, Noah M Ivers, Jon-David Schwalm, Zachary Bouck, Tara McCready, Monica Taljaard, Sherry L Grace, Jennifer Cunningham, Beth Bosiak, Justin Presseau, Holly O Witteman, Neville Suskin, Harindra C Wijeysundera, Clare Atzema, R Sacha Bhatia, Madhu Natarajan, Jeremy M Grimshaw

Abstract

Objective: To test a scalable health system intervention to improve long term adherence to secondary prevention treatments among patients who have had a recent myocardial infarction.

Design: Three arm, pragmatic randomised controlled trial with blinded outcome assessment.

Setting: Nine cardiac centres in Ontario, Canada.

Participants: 2632 patients with obstructive coronary artery disease after a myocardial infarction, identified from a centralised cardiac registry.

Interventions: Participants were randomised 1:1:1 to receive usual care, five mail-outs developed through a user centred design process, or mail-outs plus phone calls. The phone calls were delivered first by an interactive automated system to screen for non-adherence to treatment. Trained lay health workers followed up as necessary. Interventions were coordinated centrally but delivered from each patient's hospital site.

Main outcome measures: Co-primary outcomes were completion of cardiac rehabilitation and adherence to recommended medication. Data were collected by blinded assessors through patient report and from administrative health databases at 12 months.

Results: 2632 patients (mean age 66, 71% male) were randomised: 878 to the full intervention (mail plus phone calls), 878 to mail only, and 876 to usual care. Of the respondents, 174 (27%) of 643 in the usual care group, 200 (32%) of 628 in the mail only group, and 196 (37%) of 531 allocated to the full intervention completed cardiac rehabilitation (adjusted odds ratio 1.55, 95% confidence interval 1.18 to 2.03). In the mail plus phone group, 11.7%, 6.0%, 14.4%, 32.9%, and 35.0% reported adherence to 0, 1, 2, 3, and 4 drug classes after one year, respectively, in comparison with 12.5%, 6.8%, 13.6%, 30.2%, and 36.8% in the mail only group, and 12.2%, 8.4%, 13.1%, 30.3%, and 36.1% in the usual care group, respectively (mail only v usual care, odds ratio 0.98, 95% confidence interval 0.81 to 1.19; full intervention v usual care, 0.99, 0.82 to 1.20).

Conclusions: Scalable interventions delivered by mail plus phone can increase completion of cardiac rehabilitation after myocardial infarction but not adherence to medication. More intensive interventions should be tested to improve adherence to medication and to evaluate the association between attendance at cardiac rehabilitation and adherence to medication.

Trial registration: ClinicalTrials.gov NCT02382731, registered 9 March 2015 before any patient enrolment.

Conflict of interest statement

Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf and declare: support from MOHLTC for the submitted work; NMI declares support from the Canadian Institutes of Health Research and MOHLTC and the Ontario Strategy for Patient-Oriented Research Support Unit during the conduct of the study, and now holds a Canada Research Chair (tier 2) in implementation of evidence based practice, as well as a clinician scholar award from the University of Toronto Department of Family and Community Medicine; TM and JC declare support from MOHLTC during the conduct of the study; CA declares grants from the Heart and Stroke Foundation, outside the submitted work; JMG is supported by a Canada Research Chair in knowledge transfer and uptake, outside the submitted work; HOW is supported by a Fonds de recherche du Quebec-Santé research scholar junior 1 award, outside the submitted work; NS receives support from Western University’s Department of Medicine’s programme of experimental medicine, outside the submitted work; the other authors declare no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; and no other relationships or activities that could appear to have influenced the submitted work.

© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

References

    1. Antman EM, Hand M, Armstrong PW, et al. Canadian Cardiovascular Society. American Academy of Family Physicians. American College of Cardiology. American Heart Association 2007 focused update of the ACC/AHA 2004 guidelines for the management of patients with ST-elevation myocardial infarction: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol 2008;51:210-47. 10.1016/j.jacc.2007.10.001
    1. Choudhry NK, Avorn J, Glynn RJ, et al. Post-Myocardial Infarction Free Rx Event and Economic Evaluation (MI FREEE) Trial Full coverage for preventive medications after myocardial infarction. N Engl J Med 2011;365:2088-97. 10.1056/NEJMsa1107913
    1. Fitchett DH, Theroux P, Brophy JM, et al. Assessment and management of acute coronary syndromes (ACS): a Canadian perspective on current guideline-recommended treatment--part 2: ST-segment elevation myocardial infarction. Can J Cardiol 2011;27(Suppl A):S402-12. 10.1016/j.cjca.2011.08.107
    1. Rasmussen JN, Chong A, Alter DA. Relationship between adherence to evidence-based pharmacotherapy and long-term mortality after acute myocardial infarction. JAMA 2007;297:177-86. 10.1001/jama.297.2.177
    1. Smith SC, Jr, Benjamin EJ, Bonow RO, et al. AHA/ACCF secondary prevention and risk reduction therapy for patients with coronary and other atherosclerotic vascular disease: 2011 update: a guideline from the American Heart Association and American College of Cardiology Foundation endorsed by the World Heart Federation and the Preventive Cardiovascular Nurses Association [correction in: J Am Coll Cardiol 2015;65:1495]. J Am Coll Cardiol 2011;58:2432-46. 10.1016/j.jacc.2011.10.824
    1. Schwalm J-D, McKee M, Huffman MD, Yusuf S. Resource effective strategies to prevent and treat cardiovascular disease. Circulation 2016;133:742-55. 10.1161/CIRCULATIONAHA.115.008721
    1. Mancini GB, Gosselin G, Chow B, et al. Canadian Cardiovascular Society Canadian Cardiovascular Society guidelines for the diagnosis and management of stable ischemic heart disease. Can J Cardiol 2014;30:837-49. 10.1016/j.cjca.2014.05.013
    1. Ivers NM, Schwalm J-D, Jackevicius CA, Guo H, Tu JV, Natarajan M. Length of initial prescription at hospital discharge and long-term medication adherence for elderly patients with coronary artery disease: a population-level study. Can J Cardiol 2013;29:1408-14. 10.1016/j.cjca.2013.04.009
    1. Schwalm J-D, Ivers NM, Natarajan MK, et al. Cluster randomized controlled trial of delayed educational reminders for long-term medication adherence in ST-elevation myocardial infarction (DERLA-STEMI). Am Heart J 2015;170:903-13. 10.1016/j.ahj.2015.08.014
    1. Heran BS, Chen JM, Ebrahim S, et al. Exercise-based cardiac rehabilitation for coronary heart disease. Cochrane Database Syst Rev 2011;(7):CD001800. 10.1002/14651858.CD001800.pub2
    1. Candido E, Richards JA, Oh P, et al. The relationship between need and capacity for multidisciplinary cardiovascular risk-reduction programs in Ontario. Can J Cardiol 2011;27:200-7. 10.1016/j.cjca.2011.01.008
    1. Nieuwlaat R, Wilczynski N, Navarro T, et al. Interventions for enhancing medication adherence. Cochrane Database Syst Rev 2014;(11):CD000011. 10.1089/apc.2014.0308
    1. Ito K, Shrank WH, Avorn J, et al. Comparative cost-effectiveness of interventions to improve medication adherence after myocardial infarction. Health Serv Res 2012;47:2097-117. 10.1111/j.1475-6773.2012.01462.x
    1. Santiago de Araújo Pio C, Chaves GS, Davies P, Taylor RS, Grace SL. Interventions to promote patient utilisation of cardiac rehabilitation. Cochrane Database Syst Rev 2019;2:CD007131. 10.1002/14651858.CD007131.pub4
    1. Ivers N, Schwalm JD, Witteman HO, et al. Interventions Supporting Long-term Adherence aNd Decreasing cardiovascular events (ISLAND): pragmatic randomized trial protocol. Am Heart J 2017;190:64-75. 10.1016/j.ahj.2017.05.007
    1. El-Menyar A, Zubaid M, AlMahmeed W, et al. Killip classification in patients with acute coronary syndrome: insight from a multicenter registry. Am J Emerg Med 2012;30:97-103. 10.1016/j.ajem.2010.10.011
    1. Presseau J, Schwalm JD, Grimshaw JM, et al. Identifying determinants of medication adherence following myocardial infarction using the Theoretical Domains Framework and the Health Action Process Approach. Psychol Health 2017;32:1176-94. 10.1080/08870446.2016.1260724
    1. Witteman HO, Presseau J, Nicholas Angl E, et al. Negotiating tensions between theory and design in the development of mailings for people recovering from acute coronary syndrome. JMIR Hum Factors 2017;4:e6. 10.2196/humanfactors.6502
    1. Sniehotta FF, Scholz U, Schwarzer R. Action plans and coping plans for physical exercise: a longitudinal intervention study in cardiac rehabilitation. Br J Health Psychol 2006;11:23-37. 10.1348/135910705X43804
    1. Khan M, Lamelas P, Musa H, et al. Development, testing, and implementation of a training curriculum for nonphysician health workers to reduce cardiovascular disease. Glob Heart 2018;13:93-100.e1. 10.1016/j.gheart.2017.11.002
    1. Treweek S, Zwarenstein M. Making trials matter: pragmatic and explanatory trials and the problem of applicability. Trials 2009;10:37. 10.1186/1745-6215-10-37
    1. Kripalani S, LeFevre F, Phillips CO, Williams MV, Basaviah P, Baker DW. Deficits in communication and information transfer between hospital-based and primary care physicians: implications for patient safety and continuity of care. JAMA 2007;297:831-41. 10.1001/jama.297.8.831
    1. Kayaniyil S, Leung YW, Suskin N, Stewart DE, Grace SL. Concordance of self- and program-reported rates of cardiac rehabilitation referral, enrollment and participation. Can J Cardiol 2009;25:e96-9. 10.1016/S0828-282X(09)70063-7
    1. Nieuwkerk PT, Nierman MC, Vissers MN, et al. Intervention to improve adherence to lipid-lowering medication and lipid-levels in patients with an increased cardiovascular risk. Am J Cardiol 2012;110:666-72. 10.1016/j.amjcard.2012.04.045
    1. Choo PW, Rand CS, Inui TS, et al. Validation of patient reports, automated pharmacy records, and pill counts with electronic monitoring of adherence to antihypertensive therapy. Med Care 1999;37:846-57. 10.1097/00005650-199909000-00002
    1. Chan PS, Jones PG, Arnold SA, Spertus JA. Development and validation of a short version of the Seattle angina questionnaire. Circ Cardiovasc Qual Outcomes 2014;7:640-7. 10.1161/CIRCOUTCOMES.114.000967
    1. Gehi AK, Ali S, Na B, Whooley MA. Self-reported medication adherence and cardiovascular events in patients with stable coronary heart disease: the heart and soul study. Arch Intern Med 2007;167:1798-803. 10.1001/archinte.167.16.1798
    1. Alter DA, Oh PI, Chong A. Relationship between cardiac rehabilitation and survival after acute cardiac hospitalization within a universal health care system. Eur J Cardiovasc Prev Rehabil 2009;16:102-13. 10.1097/HJR.0b013e328325d662
    1. Nolan T, Berwick DM. All-or-none measurement raises the bar on performance. JAMA 2006;295:1168-70. 10.1001/jama.295.10.1168
    1. Degrauwe S, Pilgrim T, Aminian A, Noble S, Meier P, Iglesias JF. Dual antiplatelet therapy for secondary prevention of coronary artery disease. Open Heart 2017;4:e000651. 10.1136/openhrt-2017-000651
    1. Nau DP. Proportion of days covered (PDC) as a preferred method of measuring medication adherence. Pharmacy Quality Alliance, 2012.
    1. Gupta SK. Intention-to-treat concept: a review. Perspect Clin Res 2011;2:109-12. 10.4103/2229-3485.83221
    1. Kahan BC, Morris TP. Reporting and analysis of trials using stratified randomisation in leading medical journals: review and reanalysis. BMJ 2012;345:e5840. 10.1136/bmj.e5840
    1. Pedroza C, Truong VT. Performance of models for estimating absolute risk difference in multicenter trials with binary outcome. BMC Med Res Methodol 2016;16:113. 10.1186/s12874-016-0217-0
    1. Dmitrienko A, D’Agostino RB, Sr, Huque MF. Key multiplicity issues in clinical drug development. Stat Med 2013;32:1079-111. 10.1002/sim.5642
    1. Walters SJ. Sample size and power estimation for studies with health related quality of life outcomes: a comparison of four methods using the SF-36. Health Qual Life Outcomes 2004;2:26. 10.1186/1477-7525-2-26
    1. Mosleh SM, Bond CM, Lee AJ, Kiger A, Campbell NC. Effectiveness of theory-based invitations to improve attendance at cardiac rehabilitation: a randomized controlled trial. Eur J Cardiovasc Nurs 2014;13:201-10. 10.1177/1474515113491348
    1. Wyer S, Earll L, Joseph S, Harrison J, Giles M, Johnston M. Increasing attendance at a cardiac rehabilitation programme: an intervention study using the Theory of Planned Behaviour. Coron Health Care 2001;5:154-9 10.1054/chec.2001.0131.
    1. Tsoli S, Sutton S, Kassavou A. Interactive voice response interventions targeting behaviour change: a systematic literature review with meta-analysis and meta-regression. BMJ Open 2018;8:e018974. 10.1136/bmjopen-2017-018974
    1. Smith DH, O’Keeffe-Rosetti M, Owen-Smith AA, et al. Improving adherence to cardiovascular therapies: an economic evaluation of a randomized pragmatic trial. Value Health 2016;19:176-84. 10.1016/j.jval.2015.11.013
    1. Sherrard H, Struthers C, Kearns SA, Wells G, Chen L, Mesana T. Using technology to create a medication safety net for cardiac surgery patients: a nurse-led randomized control trial. Can J Cardiovasc Nurs 2009;19:9-15.
    1. Kassavou A, Sutton S. Automated telecommunication interventions to promote adherence to cardio-metabolic medications: meta-analysis of effectiveness and meta-regression of behaviour change techniques. Health Psychol Rev 2018;12:25-42. 10.1080/17437199.2017.1365617
    1. Canadian Institutes of Health Research, Natural Sciences and Engineering Research Council of Canada, Social Sciences and Humanities Research Council of Canada. B. Departures from General Principles of Consent. In: Tri-Council Policy Statement: Ethical conduct for research involving humans, 2014.
    1. Grady D, Redberg RF, O’Malley PG. Quality improvement for quality improvement studies. JAMA Intern Med 2018;178:187. 10.1001/jamainternmed.2017.6875
    1. Ivers NM, Grimshaw JM. Reducing research waste with implementation laboratories. Lancet 2016;388:547-8. 10.1016/S0140-6736(16)31256-9
    1. Robert J. Embedding research in the learning health system. Healthc Pap 2016;16:30-5.
    1. Glynn RJ, Brookhart MA, Stedman M, Avorn J, Solomon DH. Design of cluster-randomized trials of quality improvement interventions aimed at medical care providers. Med Care 2007;45(Supl 2):S38-43. 10.1097/MLR.0b013e318070c0a0
    1. Firmino-Machado J, Mendes R, Moreira A, Lunet N. Stepwise strategy to improve Cervical Cancer Screening Adherence (SCAN-CC): automated text messages, phone calls and face-to-face interviews: protocol of a population-based randomised controlled trial. BMJ Open 2017;7:e017730. 10.1136/bmjopen-2017-017730
    1. Thakkar J, Kurup R, Laba T-L, et al. Mobile telephone text messaging for medication adherence in chronic disease: a meta-analysis. JAMA Intern Med 2016;176:340-9. 10.1001/jamainternmed.2015.7667
    1. Chow CK, Thiagalingam A, Santo K, et al. TEXT messages to improve MEDication adherence and Secondary prevention (TEXTMEDS) after acute coronary syndrome: a randomised clinical trial protocol. BMJ Open 2018;8:e019463. 10.1136/bmjopen-2017-019463
    1. Moghei M, Oh P, Chessex C, Grace SL. Cardiac rehabilitation quality improvement: a narrative review. J Cardiopulm Rehabil Prev 2019;39:226-34. 10.1097/HCR.0000000000000396

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