Literature DB >> 24493376

An electronic order set for acute myocardial infarction is associated with improved patient outcomes through better adherence to clinical practice guidelines.

Manuel A Ballesca1, Juan Carlos LaGuardia, Philip C Lee, Andrew M Hwang, David K Park, Marla N Gardner, Benjamin J Turk, Patricia Kipnis, Gabriel J Escobar.   

Abstract

BACKGROUND: Adherence to evidence-based recommendations for acute myocardial infarction (AMI) remains unsatisfactory.
OBJECTIVE: Quantifying association between using an electronic AMI order set (AMI-OS) and hospital processes and outcomes.
DESIGN: Retrospective cohort study.
SETTING: Twenty-one community hospitals. PATIENTS: A total of 5879 AMI patients were hospitalized between September 28, 2008 and December 31, 2010. MEASUREMENTS: We ascertained whether patients were treated using the AMI-OS or individual orders (a la carte). Dependent process variables were use of evidence-based care; outcome variables were mortality and rehospitalization.
RESULTS: Use of individual and combined therapies improved outcomes (eg, 50% lower odds of 30-day mortality for patients with ≥3 therapies). The 3531 patients treated using the AMI-OS were more likely to receive evidence-based therapies (eg, 50% received 5 different therapies vs 36% a la carte). These patients had lower 30-day mortality (5.7% vs 8.5%) than the 2348 treated using a la carte orders. Although AMI-OS patients' predicted mortality risk was lower (3.2%) than that of a la carte patients (4.8%), the association of improved processes and outcomes with the use of the AMI-OS persisted after risk adjustment. For example, after inverse probability weighting, the relative risk for inpatient mortality in the AMI-OS group was 0.67 (95% confidence interval: 0.52-0.86). Inclusion of use of recommended therapies in risk adjustment eliminated the benefit of the AMI-OS, highlighting its mediating effect on adherence to evidence-based treatment.
CONCLUSIONS: Use of an electronic order set is associated with increased adherence to evidence-based care and better AMI outcomes.
© 2014 Society of Hospital Medicine.

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Year:  2014        PMID: 24493376     DOI: 10.1002/jhm.2149

Source DB:  PubMed          Journal:  J Hosp Med        ISSN: 1553-5592            Impact factor:   2.960


  15 in total

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2.  Comparing Hospital Processes and Outcomes in California Medicare Beneficiaries: Simulation Prompts Reconsideration.

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4.  Optimizing Clinical Decision Support in the Electronic Health Record. Clinical Characteristics Associated with the Use of a Decision Tool for Disposition of ED Patients with Pulmonary Embolism.

Authors:  Dustin W Ballard; Ridhima Vemula; Uli K Chettipally; Mamata V Kene; Dustin G Mark; Andrew K Elms; James S Lin; Mary E Reed; Jie Huang; Adina S Rauchwerger; David R Vinson
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6.  Using lean methodology to improve efficiency of electronic order set maintenance in the hospital.

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7.  Impact of Increased Early Statin Administration on Ischemic Stroke Outcomes: A Multicenter Electronic Medical Record Intervention.

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8.  Predicting inpatient clinical order patterns with probabilistic topic models vs conventional order sets.

Authors:  Jonathan H Chen; Mary K Goldstein; Steven M Asch; Lester Mackey; Russ B Altman
Journal:  J Am Med Inform Assoc       Date:  2017-05-01       Impact factor: 4.497

9.  Inpatient Clinical Order Patterns Machine-Learned From Teaching Versus Attending-Only Medical Services.

Authors:  Jason K Wang; Alejandro Schuler; Nigam H Shah; Michael T M Baiocchi; Jonathan H Chen
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10.  Before-After Study of an Electronic Order Set for Reversal of Vitamin K Antagonist-Associated Intracerebral Hemorrhage.

Authors:  Jeffrey R Vitt; Lynn V Do; Nirav H Shah; Gary Fong; Nicole Y Nguyen; Anthony S Kim
Journal:  Neurohospitalist       Date:  2017-06-22
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