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Objective Nociceptive Assessment in Ventilated ICU Patients: A Feasibility Study Using Pupillometry and the Nociceptive Flexion Reflex
Published on: July 4, 2018
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Development of a pain management algorithm for intensive care units
Brita F Olsen1, Tone Rustøen2, Leiv Sandvik3
1Østfold Hospital Trust, Fredrikstad, Norway; Oslo University Hospital, Division of Emergencies and Critical Care, Oslo, Norway.
Heart & Lung : the Journal of Critical Care
|November 18, 2015
Summary
A new pain management algorithm for intensive care unit (ICU) patients was developed. This algorithm, using validated tools like the Behavioral Pain Scale (BPS), aims to improve pain assessment and management in critically ill adults.
Area of Science:
- Critical Care Medicine
- Pain Management
- Nursing Research
Background:
- Intensive care unit (ICU) patients frequently experience significant pain.
- A standardized, evidence-based algorithm for effective pain management in the ICU is currently lacking.
Purpose of the Study:
- To develop a comprehensive pain management algorithm tailored for ICU patients.
- To assess the psychometric properties, including reliability and validity, of assessment tools integrated into the algorithm.
Main Methods:
- Algorithm development involved a thorough literature review and consensus from an expert panel, followed by pilot testing.
- Psychometric evaluation included assessing inter-rater reliability between nurses for the Behavioral Pain Scale (BPS) and BPS-Non Intubated (BPS-NI).
- Discriminant validity was examined by comparing pain scores during patient repositioning versus periods of rest.
Main Results:
- A novel pain management algorithm for ICU settings was successfully developed.
- The BPS and BPS-NI demonstrated discriminant validity, distinguishing pain levels during turning compared to rest.
- Inter-rater reliability for the BPS ranged from moderate (0.46) to very good (1.00), while for the BPS-NI, it ranged from fair (0.21) to good (0.63).
Conclusions:
- The developed pain management algorithm aligns with current clinical practice guideline recommendations for ICU care.
- This algorithm has the potential to enhance pain assessment accuracy and optimize pain management strategies for adult patients in the ICU.
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