impact of computerized physician order entry (cpoe) on picu prescribing errors

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Barbara Maat Casper W. Bollen Adrianus J. van Vught Toine C. G. Egberts Carin M. A. Rademaker Impact of computerized physician order entry (CPOE) on PICU prescribing errors Accepted: 7 December 2013 Published online: 19 December 2013 Ó Springer-Verlag Berlin Heidelberg and ESICM 2013 Dear Editor, Prescribing errors frequently occur in pediatric intensive care units (PICUs), for which both low- and high-tech- nology solutions have been evaluated [1, 2]. Computerized physician order entry (CPOE) systems, including clinical decision support (CDS), offer the potential to reduce prescribing error rates in PICUs, but only if well designed and implemented [24]. We examined frequency, types, and risk factors of PICU prescribing errors in relation to use of CPOE. This prospective study was per- formed in a 14-bed PICU of a tertiary children’s hospital using a home- grown CPOE system since 2001. Contemporaneously, orders could be handwritten, allowing comparison. Medication orders of all patients admitted between February 2008 and December 2010 were reviewed for prescribing errors. The study was performed in accordance with the institutional review board guidelines. A total of 718 patients were included with 22,280 medication orders, of which 15,136 (68 %) were handwritten and 7,144 (32 %) CPOE. Omission rates were 66 % in hand- written versus 24 % in CPOE orders. Writing by hand was a strong risk factor for omissions, but CPOE did not reduce the error rate to zero. This was mainly due to the possibility to enter free text into the CPOE system. Because an order has to be complete for the purpose of dose checking, we state that free text entry should be minimized. In our study 12,879 orders were complete and could be reviewed for dosing errors (i.e., dose more than 10 % below or above guideline ther- apeutic range). Dosing error rates were 21 % in handwritten and 21 % in CPOE orders. Strikingly, 81 % of these dosing errors were more than 10 % below rather than above the therapeutic range, as shown in Fig. 1, and mainly concerned underdosing of antibiotics and analgesics for exam- ple. Kadmon et al. [4] already advocated that CPOE in a PICU must be accompanied by CDS that checks medication overdosing. We add that prevention of underdosing should also be incorporated. Associations between dosing errors and covariates related to the patient, order, or drug were studied using logistic regression analysis with for- ward selection. Intermittent dosing was the strongest risk factor for dos- ing errors [OR adjusted 5.6 (95 % CI 3.2, 9.8)]. Additionally, all routes of administration related to intermittent dosing, e.g., oral, rectal, and pul- monary, were significantly associated with omissions and dosing errors compared to the parenteral route. Currently though, CPOE/CDS devel- opment for PICUs mainly aims to support fast, correct, and easy order- ing of continuous infusions [5]. We add that support for intermittent dos- ing regimens is also required. In conclusion, we identified three important additional requirements for CPOE/CDS to further prevent PICU prescribing errors: (1) minimization of any free text entry that could limit CDS for dose calculation and/or dose 0 10 20 30 40 50 60 70 80 90 100 0.27 % 0.59 % 4.05 % 11.35 % 99.06 % 99.86 % 99.96 % 100.00 % Factor 10 Factor 5 Factor 2 Factor 2 Factor 5 Factor 10 above maximum below minimum Therapeutic range +/- 10 % % of medication orders > 10% below therapeutic range Fig. 1 Cumulative percentage of medication orders in- and outside guidelines’ therapeutic dosing range ?/- 10 % Intensive Care Med (2014) 40:458–459 DOI 10.1007/s00134-013-3193-4 LETTER

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Barbara MaatCasper W. BollenAdrianus J. van VughtToine C. G. EgbertsCarin M. A. Rademaker

Impact of computerizedphysician order entry (CPOE)on PICU prescribing errors

Accepted: 7 December 2013Published online: 19 December 2013� Springer-Verlag Berlin Heidelberg andESICM 2013

Dear Editor,Prescribing errors frequently occur inpediatric intensive care units (PICUs),for which both low- and high-tech-nology solutions have been evaluated[1, 2]. Computerized physician orderentry (CPOE) systems, includingclinical decision support (CDS), offerthe potential to reduce prescribingerror rates in PICUs, but only if welldesigned and implemented [2–4]. Weexamined frequency, types, and riskfactors of PICU prescribing errors inrelation to use of CPOE.

This prospective study was per-formed in a 14-bed PICU of a tertiary

children’s hospital using a home-grown CPOE system since 2001.Contemporaneously, orders could behandwritten, allowing comparison.Medication orders of all patientsadmitted between February 2008 andDecember 2010 were reviewed forprescribing errors. The study wasperformed in accordance with theinstitutional review board guidelines.

A total of 718 patients wereincluded with 22,280 medicationorders, of which 15,136 (68 %) werehandwritten and 7,144 (32 %) CPOE.Omission rates were 66 % in hand-written versus 24 % in CPOE orders.Writing by hand was a strong riskfactor for omissions, but CPOE didnot reduce the error rate to zero. Thiswas mainly due to the possibility toenter free text into the CPOE system.Because an order has to be completefor the purpose of dose checking, westate that free text entry should beminimized.

In our study 12,879 orders werecomplete and could be reviewed fordosing errors (i.e., dose more than10 % below or above guideline ther-apeutic range). Dosing error rateswere 21 % in handwritten and 21 %in CPOE orders. Strikingly, 81 % ofthese dosing errors were more than10 % below rather than above the

therapeutic range, as shown in Fig. 1,and mainly concerned underdosing ofantibiotics and analgesics for exam-ple. Kadmon et al. [4] alreadyadvocated that CPOE in a PICU mustbe accompanied by CDS that checksmedication overdosing. We add thatprevention of underdosing shouldalso be incorporated.

Associations between dosing errorsand covariates related to the patient,order, or drug were studied usinglogistic regression analysis with for-ward selection. Intermittent dosingwas the strongest risk factor for dos-ing errors [ORadjusted 5.6 (95 % CI3.2, 9.8)]. Additionally, all routes ofadministration related to intermittentdosing, e.g., oral, rectal, and pul-monary, were significantly associatedwith omissions and dosing errorscompared to the parenteral route.Currently though, CPOE/CDS devel-opment for PICUs mainly aims tosupport fast, correct, and easy order-ing of continuous infusions [5]. Weadd that support for intermittent dos-ing regimens is also required.

In conclusion, we identified threeimportant additional requirements forCPOE/CDS to further prevent PICUprescribing errors: (1) minimizationof any free text entry that could limitCDS for dose calculation and/or dose

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0.27 % 0.59 %4.05 %

11.35 %

99.06 % 99.86 % 99.96 % 100.00 %

Factor 10 Factor 5 Factor 2 Factor 2 Factor 5 Factor 10above maximumbelow minimum

Therapeutic range +/- 10 %

% of medication orders> 10% below therapeutic range

Fig. 1 Cumulative percentageof medication orders in- andoutside guidelines’ therapeuticdosing range ?/- 10 %

Intensive Care Med (2014) 40:458–459DOI 10.1007/s00134-013-3193-4 LETTER

checking, (2) dose checking supportincluding lower and upper limits, and(3) simultaneous support for bothordering continuous infusions andintermittent dosing schemes.

Acknowledgments We thank Koos J.G. Jansen and the PICE (Pediatric IntensiveCare Evaluation) database for providingpatient admission data. We thank HannekeJ. H. den Breeijen and the Utrecht PatientOriented Database (UPOD) for extensivehelp with data management. We thankNicole J. M. Willard, Chantal Ricken,Bianca W. J. Bakkum, Ruud van der Noll,Eva V. A. Mulder, Tessa van der Maaden,Esther Kuipers, Stefan W. C. van Roosma-len, Cynthia Lagrand, and Annemieke D.M. van der Kaaij, at the time master’sdegree students of the Utrecht UniversityFaculty of Pharmaceutical Sciences, forcollecting much of the data.

Ethical standards This study was per-formed in accordance with the ethicalstandards laid down in the 1964 Declarationof Helsinki and its later amendments. Thestudy was approved by the InstitutionalReview Board of the University MedicalCenter Utrecht.

Conflicts of interest The authors declare

that they have no conflict of interest.

References

1. Booth R, Sturgess E, Taberner-Stokes A,Peters M (2012) Zero toleranceprescribing: a strategy to reduceprescribing errors on the paediatricintensive care unit. Intensive Care Med38:1858–1867

2. van Rosse F, Maat B, Rademaker CM,van Vught AJ, Egberts AC, Bollen CW(2009) The effect of computerizedphysician order entry on medicationprescription errors and clinical outcomein pediatric and intensive care: asystematic review. Pediatrics123:1184–1190

3. Warrick C, Naik H, Avis S, Fletcher P,Franklin BD, Inwald D (2011) A clinicalinformation system reduces medicationerrors in paediatric intensive care.Intensive Care Med 37:691–694

4. Kadmon G, Bron-Harlev E, Nahum E,Schiller O, Haski G, Shonfeld T (2009)Computerized order entry with limiteddecision support to prevent prescriptionerrors in a PICU. Pediatrics 124:935–940

5. Lehmann CU, Kim GR, Gujral R, VeltriMA, Clark JS, Miller MR (2006)Decreasing errors in pediatric continuousintravenous infusions. Pediatr Crit CareMed 7:225–230

B. Maat ()) � T. C. G. Egberts �C. M. A. RademakerDepartment of Clinical Pharmacy,D.00.2.04, University Medical CenterUtrecht, P. O. Box 85500, 3508 GA Utrecht,The Netherlandse-mail: [email protected].: ?31-88-7557218Fax: ?31-88-7555316

C. W. Bollen � A. J. van VughtDepartment of Pediatric Intensive Care,KG.02.301.0, Wilhelmina Children’sHospital, University Medical CenterUtrecht, P. O. Box 85090, 3508 AB Utrecht,The Netherlands

T. C. G. EgbertsDepartment of Pharmacoepidemiology andClinical Pharmacology, Utrecht Institute forPharmaceutical Sciences, UtrechtUniversity, P. O. Box 80082, 3508 TBUtrecht, The Netherlands

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