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A Computer Prescribing Order Entry–Clinical Decision Support system designed for neonatal care: results of the ‘preselected prescription’ concept at the bedside

Authors :
E. Saliba
A. Pignolet
Silvia Iacobelli
Catherine Quantin
Béatrice Gouyon
Jean-Bernard Gouyon
Evelyne Jacqz-Aigrain
Centre d'Études Périnatales de l'Océan Indien (CEPOI)
Université de La Réunion (UR)-Centre Hospitalier Universitaire de La Réunion (CHU La Réunion)
Service Biostatistiques et Informatique Médicale (CHU de Dijon) (DIM)
Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon)
Service de Pharmacologie Pédiatrique et Pharmacogénétique [Robert Debré, Paris]
AP-HP Hôpital universitaire Robert-Debré [Paris]
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)
Source :
Journal of Clinical Pharmacy and Therapeutics, Journal of Clinical Pharmacy and Therapeutics, Wiley, 2017, 42 (1), pp.64--68. ⟨10.1111/jcpt.12474⟩
Publication Year :
2017
Publisher :
HAL CCSD, 2017.

Abstract

SummaryWhat is known The neonatal intensive care units (NICUs) are at the highest risk of drug dose error of all hospital wards. NICUs also have the most complicated prescription modalities. The computerization of the prescription process is currently recommended to decrease the risk of preventable adverse drug effects (pADEs) in NICUs. However, Computer Prescribing Order Entry–Clinical Decision Support (C.P.O.E./C.D.S.) systems have been poorly studied in NICUs, and their technical compatibility with neonatal specificities has been limited. Objectives We set up a performance study of the preselected prescription of drugs for neonates, which limited the role of the prescriber to choosing the drugs and their indications. Methods A single 29 bed neonatal ward used this neonatal C.P.O.E./C.D.S. system for all prescriptions of all hospitalized newborns over an 18-month period. The preselected prescription of drugs was based on the indication, gestational age, body weight and post-natal age. The therapeutic protocols were provided by a formulary reference (330 drugs) that had been specifically designed for newborns. The preselected prescription also gave complete information about preparation and administration of drugs by nurses. The prescriber was allowed to modify the preselected prescription but alarms provided warning when the prescription was outside the recommended range. The main clinical characteristics and all items of each line of prescription were stored in a data warehouse, thus enabling this study to take place. Results Seven hundred and sixty successive newborns (from 24 to 42 weeks’ gestation) were prescribed 52 392 lines of prescription corresponding to 65 drugs; About 30·4% of neonates had at least one out of licensed prescription; A prescription out of the recommended range for daily dose was recorded for 1·0% of all drug prescriptions. What is new? The C.P.O.E./C.D.S. systems can currently provide a complete preselected prescription in NICUs according to dose rules, which are specific to newborns and also comply with local specificities (therapeutic protocols and formulation of drugs). The role of the prescriber is limited to the choice of drugs and their indications. The prescriber still retains the possibility of modifying each item of the prescription, with all other prescription items being calculated by the C.P.O.E. system. In these conditions, the prescribers rarely modified the preselected prescription and the rate of out of range prescription was low. A multicentric study is required to confirm and extend these observations. Conclusions This study showed the feasibility of preselected prescription in NICUs and a low rate of out of range prescriptions. The preselected prescription could play a key role in lowering the dose error rate in NICUs.

Details

Language :
English
ISSN :
02694727 and 13652710
Database :
OpenAIRE
Journal :
Journal of Clinical Pharmacy and Therapeutics, Journal of Clinical Pharmacy and Therapeutics, Wiley, 2017, 42 (1), pp.64--68. ⟨10.1111/jcpt.12474⟩
Accession number :
edsair.doi.dedup.....f80d45d5b66217284510e69ef6c41b77
Full Text :
https://doi.org/10.1111/jcpt.12474⟩