The expenditure of computer-related worktime using clinical decision support systems in chronic pain therapy

URN zum Zitieren dieses Dokuments: urn:nbn:de:bvb:355-epub-324019

Wiese, Christoph, Hecht, Timm, Bundscherer, Anika Christin, Lassen, Christoph L., Lindenberg, Nicole, Graf, Bernhard M. und Ittner, Karl-Peter (2015) The expenditure of computer-related worktime using clinical decision support systems in chronic pain therapy. BMC Anesthesiology 15 (113), S. 1-9.

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Andere URL zum Volltext: http://www.biomedcentral.com/1471-2253/15/113

Zusammenfassung

Zusammenfassung

Background
Estimate the expenditure of computer-related worktime resulting from the use of clinical decision support systems (CDSS) to prevent adverse drug reactions (ADR) among patients undergoing chronic pain therapy and compare the employed check systems with respect to performance and practicability.

Methods
Data were collected retrospectively from 113 medical records of patients under chronic pain therapy during 2012/2013. Patient-specific medications were checked for potential drug-drug interactions (DDI) using two publicly available CDSS, Apotheken Umschau (AU) and Medscape (MS), and a commercially available CDSS AiDKlinik® (AID). The time needed to analyze patient pharmacotherapy for DDIs was taken with a stopwatch. Measurements included the time needed for running the analysis and printing the results. CDSS were compared with respect to the expenditure of time and usability. Only patient pharmacotherapies with at least two prescribed drugs and fitting the criteria of the corresponding CDSS were analyzed. Additionally, a qualitative evaluation of the used check systems was performed, employing a questionnaire asking five pain physicians to compare and rate the performance and practicability of the three CDSSs.

Results
The AU tool took a total of 3:55:45 h with an average of 0:02:32 h for 93 analyzed patient regimens and led to the discovery of 261 DDIs. Using the Medscape interaction checker required a total of 1:28:35 h for 38 patients with an average of 0:01:58 h and a yield of 178 interactions. The CDSS AID required a total of 3:12:27 h for 97 patients with an average time of analysis of 0:01:59 h and the discovery of 170 DDIs. According to the pain physicians the CDSS AID was chosen as the preferred tool.

Conclusions
Applying a CDSS to examine a patients drug regimen for potential DDIs causes an average extra expenditure of work time of 2:09 min, which extends patient treatment time by 25 % on average. Nevertheless, the authors believe that the extra expenditure of time employing a CDSS is outweighed by their benefits, including reduced ADR risks and safer clinical drug management.

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Dokumentenart:

Artikel

Datum:

1 August 2015

Institutionen:

Medizin > Lehrstuhl für Anästhesiologie

Projekte:

Open Access Publizieren (DFG)

Identifikationsnummer:

Wert	Typ
10.1186/s12871-015-0094-9	DOI

Stichwörter / Keywords:

Drug-drug interaction; Clinical decision support systems (CDSS); Adverse drug reaction; Expenditure of time; Chronic pain; Polypharmacy

Dewey-Dezimal-Klassifikation:

600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin

Status:

Veröffentlicht

Begutachtet:

Ja, diese Version wurde begutachtet

An der Universität Regensburg entstanden:

Eingebracht am:

31 Aug 2015 14:25

Zuletzt geändert:

02 Jun 2018 03:16

Dokumenten-ID:

32401

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