Ontology highlight
ABSTRACT: Aim
To assess occurrence of pain during the first 6 days of intensive care unit (ICU) stay and evaluate associations between occurrence of pain and selected patient-related variables.Design
A longitudinal study.Methods
Adult ICU patients from three units were included. Patients' pain was assessed with valid pain assessment tools every 8 hr during their first 6 days in ICU. Possible associations between occurrence of pain and selected patient-related variables were modelled using multiple logistic regression.Results
When pain was assessed regularly with pain assessment tools, 10% of patients were in pain at rest and 27% were in pain during turning. The proportions of patients who were in pain were significantly higher for patients able to self-report pain, compared with patients not able to self-report (p < .001). Several predictors were associated with being in pain. It is important to be aware of these predictors in order to improve pain management.
SUBMITTER: Olsen BF
PROVIDER: S-EPMC7729640 | biostudies-literature | 2021 Jan
REPOSITORIES: biostudies-literature
Olsen Brita F BF Valeberg Berit T BT Jacobsen Morten M Småstuen Milada C MC Puntillo Kathleen K Rustøen Tone T
Nursing open 20200912 1
<h4>Aim</h4>To assess occurrence of pain during the first 6 days of intensive care unit (ICU) stay and evaluate associations between occurrence of pain and selected patient-related variables.<h4>Design</h4>A longitudinal study.<h4>Methods</h4>Adult ICU patients from three units were included. Patients' pain was assessed with valid pain assessment tools every 8 hr during their first 6 days in ICU. Possible associations between occurrence of pain and selected patient-related variables were modelle ...[more]