Influence of a Systems-Based Approach to Prescribing Errors in a Pediatric Resident Clinic.
OBJECTIVE: To measure the difference in prescribing error rates between 2 clinics, 1 with a system in place to reduce errors and 1 with no such system; to determine variables that affect the likelihood of prescription errors. METHODS: This was a retrospective study at 2 university-based general pedi...
| Published in: | Academic Pediatrics Vol. 14; no. 5; pp. 485 - 491 |
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| Main Authors: | , , , , , , |
| Format: | research tables/charts Journal Article |
| Published: |
Elsevier B.V.
Sep/Oct2014
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=107829258&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 107829258 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 18762859 8NBK jtl: Academic Pediatrics issn: 18762859 maglogo: N pubinfo: dt: Sep/Oct2014 vid: 14 iid: 5 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 107829258 98421141 98421141 10.1016/j.acap.2014.03.018 107829258 ppf: 485 ppct: 6 formats: fmt: @attributes: type: P tig: atl: Influence of a Systems-Based Approach to Prescribing Errors in a Pediatric Resident Clinic. aug: au: Condren, Michelle Honey, Brooke L. Carter, Sandra M. Ngo, Nelson Landsaw, Jeremy Bryant, Cheryl Gillaspy, Stephen affil: Department of Pharmacy, Clinical and Administrative Sciences—Tulsa, University of Oklahoma College of Pharmacy; Department of Pediatrics, University of Oklahoma School of Community Medicine, Tulsa, Okla sug: subj: Pediatric Care Prescribing Patterns Medication Errors Human Systems Analysis Oklahoma Academic Medical Centers Electronic Health Records Retrospective Design Multicenter Studies Comparative Studies Data Analysis Software T-Tests Linear Regression Chi Square Test Logistic Regression Infant Child, Preschool Child Adolescence Infant: 1-23 months Child, Preschool: 2-5 years Child: 6-12 years Adolescent: 13-18 years ab: OBJECTIVE: To measure the difference in prescribing error rates between 2 clinics, 1 with a system in place to reduce errors and 1 with no such system; to determine variables that affect the likelihood of prescription errors. METHODS: This was a retrospective study at 2 university-based general pediatric clinics utilizing the same electronic medical record (EMR) system. Clinic 1 employed pharmacists who provided daily prescription review, provider feedback and education, and EMR customization to decrease errors. Clinic 2 had no systems in place for reducing prescribing errors. Prescriptions written by resident physicians over 2 months were identified and reviewed. RESULTS: a total of 1361 prescriptions were reviewed, 40.7% from clinic 1 and 59.3% from clinic 2. Errors were found in 201 prescriptions (14.8%). Clinics 1 and 2 had error rates of 11% and 17.5%, respectively (P = .0012). The odds of a prescription error at clinic 2 were 1.7 times the odds of a prescription error at clinic 1. Logistic regression identified clinic, nonpediatric resident, liquid dose forms, and younger patient age as significant predictors of prescription errors. Half of the errors could have been prevented with consistent use of a custom medication list within the EMR. CONCLUSIONS: We found 37% fewer prescribing errors in a clinic with systems in place for prescribing error detection and prevention. Pediatric clinics should explore systematic procedures for identifying, resolving, and providing education about prescribing errors to reduce patient risk. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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