Impact of a hybrid decision support system to improve the adherence to implantable cardioverter defibrillator therapy guidelines for primary prevention of sudden cardiac death

OBJECTIVES Despite the well-documented benefit of implantable cardioverter defibrillator (ICD) in patients with severe left ventricular dysfunction, there is a large number of patients who had not been offered this therapy. The aim of this study is to evaluate the utility of a hybrid decision support system (hCDSS) to improve the adherence to indicate ICD therapy in our institution. METHODS We conducted a retrospective, observational and single-center study. An hCDSS focused on patients with severe deterioration of the left ventricular function was implemented, creating a mandatory field containing the value of left ejection fraction and three options to choose: >35%, ≤ 35% or unknown. When the option ≤ 35% is checked, an email is automatically sent to the electrophysiology section where the staff can contact the treating physician to discuss the indication of ICD therapy. We measured the number of ICDs implanted before the alert (month 1-21), immediate post and late post alert (month 22-27 and 28-48 months respectively) RESULTS: The rate of ICD implantation increased from 1.76% per month in the pre-intervention period to 4.48% after the intervention (p < 0.001). This increase in the rate of ICD implantation remained stable between the immediate and late post-intervention period (4.6 vs. 4.4; p = .8) CONCLUSION: The implementation of a hybrid decision support system was associated with improved adherence to clinical guidelines for prevention of sudden cardiac death, as evidenced by a rapid and sustained increase in the number of ICD implants in patients with severe left ventricular dysfunction.

[1]  A. Moss,et al.  Improved survival with an implanted defibrillator in patients with coronary disease at high risk for ventricular arrhythmia. Multicenter Automatic Defibrillator Implantation Trial Investigators. , 1996, The New England journal of medicine.

[2]  Suzanne Austin Boren,et al.  The role of the electronic medical record (EMR) in care delivery development in developing countries: a systematic review. , 2008, Informatics in primary care.

[3]  Nicolette de Keizer,et al.  The effect of electronic medical record-based clinical decision support on HIV care in resource-constrained settings: A systematic review , 2012, Int. J. Medical Informatics.

[4]  Julie M. Fiskio,et al.  Technology Evaluation: A Randomized Trial of Electronic Clinical Reminders to Improve Quality of Care for Diabetes and Coronary Artery Disease , 2005, J. Am. Medical Informatics Assoc..

[5]  K. Lee,et al.  Prevention of sudden death in patients with coronary artery disease: the Multicenter Unsustained Tachycardia Trial (MUSTT). , 1993, Progress in cardiovascular diseases.

[6]  G. I. Nazarenko,et al.  Decision support systems in clinical practice: The case of venous thromboembolism prevention. , 2015, The International journal of risk & safety in medicine.

[7]  Henrik Eriksson,et al.  Clinical decision support system (CDSS)--effects on care quality. , 2014, International journal of health care quality assurance.

[8]  Andrea Mazzanti,et al.  2015 ESC Guidelines for the Management of Patients With Ventricular Arrhythmias and the Prevention of Sudden Cardiac Death. , 2016, Revista espanola de cardiologia.

[9]  C. McDonald,et al.  Computerizing guidelines: factors for success. , 1996, Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium.

[10]  Richard Morris,et al.  Feasibility and impact of a computerised clinical decision support system on investigation and initial management of new onset chest pain: a mixed methods study , 2015, BMC Medical Informatics and Decision Making.

[11]  F. Morady,et al.  Amiodarone versus implantable cardioverter-defibrillator:randomized trial in patients with nonischemic dilated cardiomyopathy and asymptomatic nonsustained ventricular tachycardia--AMIOVIRT. , 2003, Journal of the American College of Cardiology.

[12]  Mark A Hlatky,et al.  2012 ACCF/AHA/HRS focused update incorporated into the ACCF/AHA/HRS 2008 guidelines for device-based therapy of cardiac rhythm abnormalities: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines and the Heart Rhythm Society. , 2013, Circulation.

[13]  William M. Tierney,et al.  Improving clinical decisions and outcomes with information: a review , 2001, Int. J. Medical Informatics.

[14]  Douglas L Packer,et al.  Amiodarone or an implantable cardioverter-defibrillator for congestive heart failure. , 2005, The New England journal of medicine.

[15]  E. Chung,et al.  Effect of Automated, Point-of-Care Electronic Medical Record Screening for Appropriate Implantable Device Use in Heart Failure Patients , 2012, American journal of medical quality : the official journal of the American College of Medical Quality.

[16]  M. Egger,et al.  Developing a point-of-care electronic medical record system for TB/HIV co-infected patients: experiences from Lighthouse Trust, Lilongwe, Malawi , 2016, BMC Research Notes.

[17]  Patrick J O'Connor,et al.  Impact of an Electronic Medical Record on Diabetes Quality of Care , 2005, The Annals of Family Medicine.

[18]  Enrique Óscar Retyk Consenso de prevención primaria y secundaria de muerte súbita: Sociedad Argentina de Cardiología - Sociedad Uruguaya de Cardiología (con la colaboración del CONAREC) , 2012 .

[19]  J. Oss,et al.  PROPHYLACTIC IMPLANTATION OF A DEFIBRILLATOR IN PATIENTS WITH MYOCARDIAL INFARCTION AND REDUCED EJECTION FRACTION , 2002 .