Evaluation of the Methods and Management of Acute Coronary Events (EMMACE)-3: protocol for a longitudinal study

O A Alabas, R M West, R G Gillott, R Khatib, A S Hall, C P Gale, EMMACE-3 Investigators, Basel Hanbali, John Davies, Ranjit More, Steve Lindsay, Piers Clifford, Tim Reynolds, Justin Cooke, Shahid Junejo, Samuel McClure, Mark Scoote, Mohammed Ahmed El-Harari, John McDonald, Matthew Faircloth, Mark Appleby, Mohammed Al-Obaidi, Farqad Almagir, Simon Hetherington, Somnath Kumar, Nicola Brooks, Ted Lo, Philip Batin, Raj Khiani, Alan Bagnall, Roger Moore, Christopher Gibbs, Sudipta Chattopadhyay, Honey Thomas, Jolanta Sobolewska, Jo Porter, Venkatesan Suresh, Paul Kalra, Usman El-Sheikh, Anwar Memon, John Rowley, Nigel Capps, Philip Keeling, Mark De Belder, Thuraia Nageh, Philip Lewis, Mark Dayer, Alan Baonall, Adrian Brodison, Ian Hudson, Francesco Lo Monaco, Telal Mudawi, O A Alabas, R M West, R G Gillott, R Khatib, A S Hall, C P Gale, EMMACE-3 Investigators, Basel Hanbali, John Davies, Ranjit More, Steve Lindsay, Piers Clifford, Tim Reynolds, Justin Cooke, Shahid Junejo, Samuel McClure, Mark Scoote, Mohammed Ahmed El-Harari, John McDonald, Matthew Faircloth, Mark Appleby, Mohammed Al-Obaidi, Farqad Almagir, Simon Hetherington, Somnath Kumar, Nicola Brooks, Ted Lo, Philip Batin, Raj Khiani, Alan Bagnall, Roger Moore, Christopher Gibbs, Sudipta Chattopadhyay, Honey Thomas, Jolanta Sobolewska, Jo Porter, Venkatesan Suresh, Paul Kalra, Usman El-Sheikh, Anwar Memon, John Rowley, Nigel Capps, Philip Keeling, Mark De Belder, Thuraia Nageh, Philip Lewis, Mark Dayer, Alan Baonall, Adrian Brodison, Ian Hudson, Francesco Lo Monaco, Telal Mudawi

Abstract

Introduction: Patients with cardiovascular disease are living longer and are more frequently accessing healthcare resources. The Evaluation of the Methods and Management of Acute Coronary Events (EMMACE)-3 national study is designed to improve understanding of the effect of quality of care on health-related outcomes for patients hospitalised with acute coronary syndrome (ACS).

Methods and analysis: EMMACE-3 is a longitudinal study of 5556 patients hospitalised with an ACS in England. The study collects repeated measures of health-related quality of life, information about medications and patient adherence profiles, a survey of hospital facilities, and morbidity and mortality data from linkages to multiple electronic health records. Together with EMMACE-3X and EMMACE-4, EMMACE-3 will assimilate detailed information for about 13 000 patients across more than 60 hospitals in England.

Ethics and dissemination: EMMACE-3 was given a favourable ethical opinion by Leeds (West) Research Ethics committee (REC reference: 10/H131374). On successful application, study data will be shared with academic collaborators. The findings from EMMACE-3 will be disseminated through peer-reviewed publications, at scientific conferences, the media, and through patient and public involvement.

Study registration number: ClinicalTrials.gov Identifier: NCT01808027. Information about the study is also available at EMMACE.org.

Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Figures

Figure 1
Figure 1
Regional map of English National Health Service hospitals and patients participating in Evaluation of the Methods and Management of Acute Coronary Events (EMMACE)-3.
Figure 2
Figure 2
Evaluation of the Methods and Management of Acute Coronary Events (EMMACE)-3 cumulative recruitment of participants.
Figure 3
Figure 3
Flow chart of the EMMACE studies. MINAP, Myocardial Ischaemia National Audit Project; NHS, National Service Framework; HES, Hospital Episode Statistics; EQ-5D, EuroQol 5-dimension; EMMACE, Evaluation of the Methods and Management of Acute Coronary Events.
Figure 4
Figure 4
Flow diagram showing number of EMMACE-3 participants at each phase of the study (ACS, acute coronary syndrome; EMMACE, Evaluation of the Methods and Management of Acute Coronary Events).

References

    1. Smolina K, Wright FL, Rayner M et al. . Determinants of the decline in mortality from acute myocardial infarction in England between 2002 and 2010: linked national database study. BMJ 2012;344:d8059.
    1. Fox KA, Anderson FA Jr, Dabbous OH et al. . Intervention in acute coronary syndromes: do patients undergo intervention on the basis of their risk characteristics? The Global Registry of Acute Coronary Events (GRACE). Heart 2007;93:177–82.
    1. Gale CP, Cattle BA, Baxter PD et al. . Age-dependent inequalities in improvements in mortality occur early after acute myocardial infarction in 478,242 patients in the Myocardial Ischaemia National Audit Project (MINAP) registry. Int J Cardiol 2013;168:881–7.
    1. Gale CP, Cattle BA, Woolston A et al. . Resolving inequalities in care? Reduced mortality in the elderly after acute coronary syndromes. The Myocardial Ischaemia National Audit Project 2003–2010. Eur Heart J 2012b;33:630–9.
    1. Nichols M, Townsend N, Scarborough P et al. . Cardiovascular disease in Europe: epidemiological update. Eur Heart J 2013;34:3028–34.
    1. Warren-Gash C, Hayward AC, Hemingway H et al. . Influenza infection and risk of acute myocardial infarction in England and Wales: a CALIBER self-controlled case series study. J Infect Dis 2012;206:1652–9.
    1. Heidenreich PA, Trogdon JG, Khavjou OA et al. . Forecasting the future of cardiovascular disease in the United States: a policy statement from the American Heart Association. Circulation 2011;123:933–44.
    1. Luengo-Fernandez R, Leal J, Gray A et al. . Cost of cardiovascular diseases in the United Kingdom. Heart 2006;92:1384–9.
    1. Fox KA, Steg PG, Eagle KA et al. . Decline in rates of death and heart failure in acute coronary syndromes, 1999–2006. JAMA 2007b;297:1892–900.
    1. Alabas OA, Allan V, McLenachan JM et al. . Age-dependent improvements in survival after hospitalisation with acute myocardial infarction: an analysis of the Myocardial Ischemia National Audit Project (MINAP). Age Ageing 2013. Published Online First: 24 December 2013. doi:10.1093
    1. Heidenreich PA, Albert NM, Allen LA et al. . Forecasting the impact of heart failure in the United States: a policy statement from the American Heart Association. Circ Heart Fail 2013;6:606–19.
    1. Ovbiagele B, Goldstein LB, Higashida RT et al. . Forecasting the future of stroke in the United States: a policy statement from the American Heart Association and American Stroke Association. Stroke 2013;44:2361–75.
    1. Denaxas SC, George J, Herrett E et al. . Data resource profile: cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER). Int J Epidemiol 2012;41:1625–38.
    1. Graham JJ, Timmis A, Cooper J et al. . Impact of the National Service Framework for coronary heart disease on treatment and outcome of patients with acute coronary syndromes. Heart 2006;92:301–6.
    1. Sapsford RJ, Lawrance RA, Dorsch MF et al. . Identifying acute myocardial infarction: effects on treatment and mortality, and implications for National Service Framework audit. QJM 2003;96:203–9.
    1. Lawrance RA, Dorsch MF, Sapsford RJ et al. . Use of cumulative mortality data in patients with acute myocardial infarction for early detection of variation in clinical practice: observational study. BMJ 2001;323:324–7.
    1. West RM, Cattle BA, Bouyssie M et al. . Impact of hospital proportion and volume on primary percutaneous coronary intervention performance in England and Wales. Eur Heart J 2011;32:706–11.
    1. Cubbon RM, Gale CP, Rajwani A et al. . Aspirin and mortality in patients with diabetes sustaining acute coronary syndrome. Diabetes Care 2008;31:363–5.
    1. Lewinter C, Bland JM, Crouch S et al. . The effect of referral for cardiac rehabilitation on survival following acute myocardial infarction: a comparison survival in two cohorts collected in 1995 and 2003. Eur J Prev Cardiol 2014;21:163–71.
    1. Lown MT, Munyombwe T, Harrison W et al. . Association of frontal QRS-T angle—age risk score on admission electrocardiogram with mortality in patients admitted with an acute coronary syndrome. Am J Cardiol 2012;109:307–13.
    1. Gale CP, Metcalfe E, West RM et al. . An assessment of the concentration-related prognostic value of cardiac troponin I following acute coronary syndrome. Am J Cardiol 2011;108:1259–65.
    1. Manfrini O, Morrell C, Das R et al. ; Evaluation of Methods and Management of Acute Coronary Events Study Group. Effects of angiotensin-converting enzyme inhibitors and beta-blockers on clinical outcomes in patients with and without coronary artery obstructions at angiography (from a register-based cohort study on Acute Coronary Syndromes). Am J Cardiol 2014;113:1628–33.
    1. Cubbon RM, Rajwani A, Abbas A et al. . Hyperglycaemia, in relation to sex, and mortality after acute coronary syndrome. Eur J Cardiovasc Prev Rehabil 2007;14:666–71.
    1. Cubbon RM, Wheatcroft SB, Grant PJ et al. ; Evaluation of Methods and Management of Acute Coronary Events Investigators. Temporal trends in mortality of patients with diabetes mellitus suffering acute myocardial infarction: a comparison of over 3000 patients between 1995 and 2003. Eur Heart J 2007;28:540–5.
    1. Brooks R. EuroQol: the current state of play. Health Policy 1996;37:53–72.
    1. [No authors listed] Myocardial infarction redefined—a consensus document of The Joint European Society of Cardiology/American College of Cardiology Committee for the redefinition of myocardial infarction. Eur Heart J 2000;21:1502–13.
    1. Herrett E, Smeeth L, Walker L et al. . The Myocardial Ischaemia National Audit Project (MINAP). Heart 2010;96:1264–7.
    1. Jordan H, Roderick P, Martin D. The Index of Multiple Deprivation 2000 and accessibility effects on health. J Epidemiol Community Health 2004;58:250–7.
    1. Khatib R. Adherence to secondary prevention medicines by coronary heart disease patients. Bradford University, 2012.
    1. Morisky DE, Ang A, Krousel-Wood M et al. . Predictive validity of a medication adherence measure in an outpatient setting. J Clin Hypertens (Greenwich) 2008;10:348–54.
    1. McHorney CA. The Adherence Estimator: a brief, proximal screener for patient propensity to adhere to prescription medications for chronic disease. Curr Med Res Opin 2009;25:215–38.
    1. Gehi AK, Ali S, Na B et al. . 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.
    1. Horne R, Weinman J. Patients’ beliefs about prescribed medicines and their role in adherence to treatment in chronic physical illness. J Psychosom Res 1999;47:555–67.
    1. Cattle BA, Baxter PD, Greenwood DC et al. . Multiple imputation for completion of a national clinical audit dataset. Stat Med 2011;30:2736–53.
    1. Hofer S, Lim L, Guyatt G et al. . The MacNew Heart Disease health-related quality of life instrument: a summary. Health Qual Life Outcomes 2004;2:3.
    1. Jenkinson C, Coulter A, Bruster S. The Picker Patient Experience Questionnaire: development and validation using data from in-patient surveys in five countries. Int J Qual Health Care. 2002;14:353–8.
    1. Broadbent E, Petrie KJ, Main J et al. . The brief illness perception questionnaire. J Psychosom Res 2006;60:631–7.
    1. Horne R, Hankins M, Jenkins R. The Satisfaction with Information about Medicines Scale (SIMS): a new measurement tool for audit and research. Qual Health Care 2001;10:135–40.
    1. Herrett E, Shah AD, Boggon R et al. . Completeness and diagnostic validity of recording acute myocardial infarction events in primary care, hospital care, disease registry, and national mortality records: cohort study. BMJ 2013;346:f2350.

Source: PubMed

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