Literature DB >> 21502229

Computerized physician order entry with decision support decreases blood transfusions in children.

Eloa S Adams1, Christopher A Longhurst, Natalie Pageler, Eric Widen, Deborah Franzon, David N Cornfield.   

Abstract

OBJECTIVE: Timely provision of evidence-based recommendations through computerized physician order entry with clinical decision support may improve use of red blood cell transfusions (RBCTs).
METHODS: We performed a cohort study with historical controls including inpatients admitted between February 1, 2008, and January 31, 2010. A clinical decision-support alert for RBCTs was constructed by using current evidence. RBCT orders resulted in assessment of the patient's medical record with prescriber notification if parameters were not within recommended ranges. Primary end points included the average pretransfusion hemoglobin level and the rate of RBCTs per patient-day.
RESULTS: In total, 3293 control discharges and 3492 study discharges were evaluated. The mean (SD) control pretransfusion hemoglobin level in the PICU was 9.83 (2.63) g/dL (95% confidence interval [CI]: 9.65-10.01) compared with the study value of 8.75 (2.05) g/dL (95% CI: 8.59-8.90) (P < .0001). The wards' control value was 7.56 (0.93) g/dL (95% CI: 7.47-7.65), the study value was 7.14 (1.01) g/dL (95% CI: 6.99-7.28) (P < .0001). The control PICU rate of RBCTs per patient-day was 0.20 (0.11) (95% CI: 0.13-0.27), the study rate was 0.14 (0.04) (95% CI: 0.11-0.17) (P = .12). The PICU's control rate was 0.033 (0.01) (95% CI: 0.02-0.04), and the study rate was 0.017 (0.007) (95% CI: 0.01-0.02) (P < .0001). There was no difference in mortality rates across all cohorts.
CONCLUSIONS: Implementation of clinical decision-support alerts was associated with a decrease in RBCTs, which suggests improved adoption of evidence-based recommendations. This strategy might be widely applied to promote timely adoption of scientific evidence.

Entities:  

Mesh:

Year:  2011        PMID: 21502229     DOI: 10.1542/peds.2010-3252

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  14 in total

1.  Successful physician training program for large scale EMR implementation.

Authors:  J L Pantaleoni; L A Stevens; E S Mailes; B A Goad; C A Longhurst
Journal:  Appl Clin Inform       Date:  2015-02-11       Impact factor: 2.342

2.  Use of electronic medical record-enhanced checklist and electronic dashboard to decrease CLABSIs.

Authors:  Natalie M Pageler; Christopher A Longhurst; Matthew Wood; David N Cornfield; Jaap Suermondt; Paul J Sharek; Deborah Franzon
Journal:  Pediatrics       Date:  2014-02-24       Impact factor: 7.124

3.  Implementation of the Recommendations for RBC Transfusions for Critically Ill Children From the Pediatric Critical Care Transfusion and Anemia Expertise Initiative.

Authors:  Katherine M Steffen; Scot T Bateman; Stacey L Valentine; Sara Small; Philip C Spinella; Allan Doctor
Journal:  Pediatr Crit Care Med       Date:  2018-09       Impact factor: 3.624

4.  Computerised decision support systems to promote appropriate use of blood products.

Authors:  Sheila A Fisher; Annemarie B Docherty; Carolyn Doree; Stephen P Hibbs; Michael F Murphy; Lise J Estcourt
Journal:  Cochrane Database Syst Rev       Date:  2017-02

5.  Using an Evidence-Based Approach to EMR Implementation to Optimize Outcomes and Avoid Unintended Consequences.

Authors:  Christopher A Longhurst; Jonathan P Palma; Lisa M Grisim; Eric Widen; Melanie Chan; Paul J Sharek
Journal:  J Healthc Inf Manag       Date:  2013

6.  Development of a Tobacco Cessation Clinical Decision Support System for Pediatric Emergency Nurses.

Authors:  E Melinda Mahabee-Gittens; Judith W Dexheimer; Judith S Gordon
Journal:  Comput Inform Nurs       Date:  2016-12       Impact factor: 1.985

Review 7.  Computerized decision support in adult and pediatric critical care.

Authors:  Cydni N Williams; Susan L Bratton; Eliotte L Hirshberg
Journal:  World J Crit Care Med       Date:  2013-11-04

Review 8.  Impact of commercial computerized provider order entry (CPOE) and clinical decision support systems (CDSSs) on medication errors, length of stay, and mortality in intensive care units: a systematic review and meta-analysis.

Authors:  Mirela Prgomet; Ling Li; Zahra Niazkhani; Andrew Georgiou; Johanna I Westbrook
Journal:  J Am Med Inform Assoc       Date:  2017-03-01       Impact factor: 4.497

9.  Immunization registries in the EMR Era.

Authors:  Lindsay A Stevens; Jonathan P Palma; Kiran K Pandher; Christopher A Longhurst
Journal:  Online J Public Health Inform       Date:  2013-07-01

Review 10.  Systematic review of clinical decision support interventions with potential for inpatient cost reduction.

Authors:  Christopher L Fillmore; Bruce E Bray; Kensaku Kawamoto
Journal:  BMC Med Inform Decis Mak       Date:  2013-12-17       Impact factor: 2.796

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