• Brita F Olsen, Tone Rustøen, Leiv Sandvik, Christine Miaskowski, Morten Jacobsen, and Berit T Valeberg.
• Østfold Hospital Trust, Fredrikstad, Norway; Oslo University Hospital, Division of Emergencies and Critical Care, Oslo, Norway. Electronic address: Brita.Fosser.Olsen@so-hf.no.
• Heart Lung. 2015 Nov 1; 44 (6): 528-33.

ObjectivesTo implement a pain management algorithm in intensive care units (ICU) and to evaluate nurses' level of adherence with the algorithm.BackgroundMany ICU patients experience pain. Therefore, an evidence-based algorithm for pain management was developed.MethodsA pain management algorithm was implemented in three units over three weeks. Nurses' level of adherence with the algorithm and associations between level of adherence and patient and unit characteristics over 22 weeks were evaluated using multivariate regression analysis.ResultsNurses' level of adherence was 74.6%. Adherence rates were lower on the evening and night shifts compared to the day shift. Males were assessed significantly less frequently than females. Patients with "injury, poisoning, or certain other consequences of external causes" were assessed significantly less frequently than patients with "diseases of the respiratory system."ConclusionsICU nurses can use a pain management algorithm consistently. Findings from this study suggest that a pain management algorithm is a useful tool to increase ICU nurses' adherence with pain assessment.Copyright © 2015 Elsevier Inc. All rights reserved.

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