Interrupting providers with clinical decision support to improve care for heart failure

BACKGROUND Evidence-based therapy for heart failure remains underutilized at hospital discharge, particularly for patients with heart failure who are hospitalized for another cause. We developed clinical decision support (CDS) to recommend an angiotensin converting enzyme (ACE) inhibitor during hospitalization to promote its continuation at discharge. The CDS was designed to be implemented in both interruptive and non-interruptive versions. OBJECTIVES To compare the effectiveness and implementation of interruptive and non-interruptive versions of a CDS to improve care for heart failure. METHODS Hospitalizations of patients with reduced ejection fraction were pseudo-randomized to deliver interruptive or non-interruptive CDS alerts to providers based on even or odd medical record number. We compared discharge utilization of an ACE inhibitor or angiotensin receptor blocker (ARB) for these two implementation approaches. We also assessed adoption and implementation fidelity of the CDS. RESULTS Of 958 hospitalizations, interruptive alert hospitalizations had higher rates of discharge utilization of ACE inhibitors or ARBs than non-interruptive alert hospitalizations (79.6% vs. 74.2%, p = 0.05). Utilization was higher for interruptive alert versus non-interruptive alert hospitalizations which were principally for causes other than heart failure (79.8% vs. 73.4%; p = 0.05) but no difference was observed among hospitalizations with a principal heart failure diagnosis (85.9% vs.81.7%; p = 0.49). As compared to non-interruptive hospitalizations, interruptive alert hospitalizations were more likely to have had: an alert with any response (40.6% vs. 13.1%, p < 0.001), contraindications reported (33.1% vs 11.3%, p < 0.001), and an ACE inhibitor ordered within twelve hours of the alert (17.6% vs 10.3%, p < 0.01). The response rate for the interruptive alert was 1.7%, and a median (25th, 75th percentile) of 14 (5,32) alerts were triggered per hospitalization. CONCLUSIONS A CDS implemented as an interruptive alert was associated with improved quality of care for heart failure. Whether the potential benefits of CDS in improving cardiovascular care were worth the high burden of interruptive alerts deserves further consideration. CLINICALTRIALS. GOV IDENTIFIER NCT02858674.

[1]  Charles E. Leonard,et al.  Randomized clinical trial of a customized electronic alert requiring an affirmative response compared to a control group receiving a commercial passive CPOE alert: NSAID-warfarin co-prescribing as a test case , 2010, J. Am. Medical Informatics Assoc..

[2]  G. Ogedegbe,et al.  Heart failure–associated hospitalizations in the United States. , 2013, Journal of the American College of Cardiology.

[3]  Alicia C. Bunger,et al.  Outcomes for Implementation Research: Conceptual Distinctions, Measurement Challenges, and Research Agenda , 2010, Administration and Policy in Mental Health and Mental Health Services Research.

[4]  E. Balas,et al.  Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success , 2005, BMJ : British Medical Journal.

[5]  Jessica S. Ancker,et al.  Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system , 2017, BMC Medical Informatics and Decision Making.

[6]  S. Yusuf,et al.  Overview of Randomized Trials of Angiotensin-Converting Enzyme Inhibitors on Mortality and Morbidity in Patients With Heart Failure , 1995 .

[7]  Qoua L. Her,et al.  Medication-related clinical decision support alert overrides in inpatients , 2018, J. Am. Medical Informatics Assoc..

[8]  John Spertus,et al.  ACCF/AHA/AMA-PCPI 2011 Performance Measures for Adults With Heart Failure: A Report of the American College of Cardiology Foundation/American Heart Association Task Force on Performance Measures and the American Medical Association–Physician Consortium for Performance Improvement , 2012, Circulation.

[9]  G. Fonarow Role of in-hospital initiation of carvedilol to improve treatment rates and clinical outcomes. , 2004, The American journal of cardiology.

[10]  Jonathan M. Teich,et al.  Drug-drug interactions that should be non-interruptive in order to reduce alert fatigue in electronic health records , 2012, J. Am. Medical Informatics Assoc..

[11]  K. Adams,et al.  Characteristics and outcomes of patients hospitalized for heart failure in the United States: rationale, design, and preliminary observations from the first 100,000 cases in the Acute Decompensated Heart Failure National Registry (ADHERE). , 2005, American heart journal.

[12]  Leora I. Horwitz,et al.  “We're Almost Guests in Their Clinical Care”: Inpatient Provider Attitudes Toward Chronic Disease Management , 2017, Journal of hospital medicine.

[13]  Susan Bayliss,et al.  Clinical reminder alert fatigue in healthcare: a systematic literature review protocol using qualitative evidence , 2017, Systematic Reviews.

[14]  R Brian Haynes,et al.  Features of effective computerised clinical decision support systems: meta-regression of 162 randomised trials , 2013, BMJ : British Medical Journal.

[15]  Eta S. Berner,et al.  Clinical Decision Support Systems , 1999, Health Informatics.

[16]  Julia Adler-Milstein,et al.  Electronic health record adoption in US hospitals: the emergence of a digital “advanced use” divide , 2017, J. Am. Medical Informatics Assoc..

[17]  Alissa L. Russ,et al.  Recommendations to improve the usability of drug-drug interaction clinical decision support alerts , 2015, J. Am. Medical Informatics Assoc..

[18]  Michael D. Garber,et al.  Routine Assessment and Promotion of Physical Activity in Healthcare Settings: A Scientific Statement From the American Heart Association , 2018, Circulation.

[19]  G. Kane,et al.  Effectiveness of a Clinical-Decision-Support System in Improving Compliance With Cardiac-Care Quality Measures and Supporting Resident Training , 2009, Academic medicine : journal of the Association of American Medical Colleges.

[20]  Caroline Goldzweig,et al.  Reducing PSA-Based Prostate Cancer Screening in Men Aged 75 Years and Older with the Use of Highly Specific Computerized Clinical Decision Support , 2015, Journal of General Internal Medicine.

[21]  A. Folsom,et al.  Heart failure incidence and survival (from the Atherosclerosis Risk in Communities study). , 2008, The American journal of cardiology.

[22]  A. Takeshita,et al.  Spironolactone use at discharge was associated with improved survival in hospitalized patients with systolic heart failure. , 2010, American heart journal.

[23]  Qi Qian,et al.  ACEi/ARB for systolic heart failure: closing the quality gap with a sustainable intervention at an academic medical center. , 2011, Journal of hospital medicine.

[24]  Shobha Phansalkar,et al.  Design of decision support interventions for medication prescribing , 2013, Int. J. Medical Informatics.

[25]  Linn Brandt,et al.  A systematic review of trials evaluating success factors of interventions with computerised clinical decision support , 2018, Implementation Science.

[26]  Kensaku Kawamoto,et al.  Standards for Scalable Clinical Decision Support: Need, Current and Emerging Standards, Gaps, and Proposal for Progress , 2010, The open medical informatics journal.

[27]  J. Coresh,et al.  Quality of care for heart failure patients hospitalized for any cause. , 2014, Journal of the American College of Cardiology.

[28]  Miriam C.J.M. Sturkenboom,et al.  Electronic Alerts Versus On-Demand Decision Support to Improve Dyslipidemia Treatment: A Cluster Randomized Controlled Trial , 2008, Circulation.

[29]  M. Drazner,et al.  2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. , 2013, Journal of the American College of Cardiology.

[30]  Erik Korsten,et al.  Physicians' responses to clinical decision support on an intensive care unit - Comparison of four different alerting methods , 2013, Artif. Intell. Medicine.

[31]  M. Gheorghiade,et al.  Importance of in-hospital initiation of evidence-based medical therapies for heart failure-a review. , 2004, The American journal of cardiology.