• 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): 521-7.

ObjectivesTo develop a pain management algorithm for intensive care unit (ICU) patients and to evaluate the psychometric properties of the translated tools used in the algorithm.BackgroundMany ICU patients experience pain. However, an evidence-based algorithm for pain management does not exist.MethodsLiterature review, expert panel, and pilot testing were used to develop the algorithm. The tools were evaluated for inter-rater reliability between two nurses. Discriminant validity was evaluated by comparing pain during turning and rest.ResultsAn algorithm was developed. The Behavioral Pain Scale (BPS) and the Behavioral Pain Scale-Non Intubated (BPS-NI) discriminated between pain scores during turning and rest. Inter-rater reliability for the BPS varied from moderate (0.46) to very good (1.00). Inter-rater reliability for the BPS-NI varied from fair (0.21) to good (0.63).ConclusionsThe content of the pain management algorithm is consistent with the latest clinical practice guideline recommendations. It may be a useful tool to improve pain assessment and management in adult ICU patients.Copyright © 2015 Elsevier Inc. All rights reserved.

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