A systematic evaluation of paediatric medicines information content in clinical decision support tools on smartphones and mobile devices

Authors: Benavides, Sandra1; Polen, Hyla H.2; Goncz, Chilla E.3; Clauson, Kevin A.4

Source: Informatics in Primary Care, Volume 19, Number 1, November 2011 , pp. 39-46(8)

Publisher: Radcliffe Publishing Ltd.

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Abstract:

Background: Medication information is often poorly delineated for paediatric patients, resulting in high off-label and non-licensed use of drugs in this population. Access to accurate medicines information in this population becomes a necessity in order to avoid medication errors. Clinical decision support tools (CDSTs), which are increasingly available on mobile devices (e.g. smartphones), can provide healthcare providers with convenient access to paediatric medicines information at point of care. However, to date no systematic evaluation of the content in these CDSTs has been conducted.

Objectives: To evaluate paediatric medicines information in CDSTs for smartphones and other mobile devices.

Method: Evaluation of CDSTs according to scope and completeness was accomplished via weighted categories of 108 questions distributed evenly across three age groups: infants, children and adolescents.

Results: Three paediatric-specific databases and six general databases were evaluated. The best performer provided 75.9% of the answers for scope and scored 69.7% for completeness. Databases generally performed less effectively in providing answers sourced from clinical guidelines compared with more conservative sources such as package inserts.

Conclusions: Overall, general medicines information CDSTs performed better than paediatric-specific CDSTs in both scope and completeness. Results from this study may help guide CDST selection on mobile devices by healthcare professionals whose patient populations include paediatrics.

Keywords: CLINICAL DECISION SUPPORT TOOLS; DRUG INFORMATION DATABASES; HANDHELD COMPUTERS; PAEDIATRICS

Document Type: Research article

Affiliations: 1: Assistant Professor, Department of Pharmacy Practice, Nova Southeastern University College of Pharmacy, Fort Lauderdale, FL, USA; Clinical Pharmacist, Joe DiMaggio Children's Hospital, Hollywood, FL, USA. sbenavid@nova.edu 2: Lead Consultant, Unnatural Language Processing, Wellington, FL, USA 3: Clinical Pharmacist, Department of Pharmacy, Sarasota Memorial Hospital, Sarasota, FL, USA 4: Associate Professor, Department of Pharmacy Practice, Nova Southeastern University College of Pharmacy, Fort Lauderdale, FL, USA

Publication date: 2011-11-01

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