Literature DB >> 21116190

Evaluation of the usefulness of two established pain assessment tools in a burn population.

Lucy Wibbenmeyer1, Andy Sevier, Junlin Liao, Ingrid Williams, Barbara Latenser, Robert Lewis, Patrick Kealey, Richard Rosenquist.   

Abstract

Evaluation of burn pain and its successful treatment has proven challenging for all staff who care for burn patients. As successful pain relief is important for full physical and psychological recovery, accurate assessment of burn pain is essential. The authors sought to prospectively evaluate two previously validated pain scales, the Critical Care Pain Observation Tool (CCPOT) and the Adult Nonverbal Scale (ANVS), in our burn population and compare them with patients' reports of pain. Both scales include nonverbal behaviors that are numerically scored and can be used in communicative as well as noncommunicative patients. Thirty-eight patients underwent 225 paired pain assessments. Assessments were compared with patients' self-reports of pain using the numeric rating scale (NRS) and the visual analog scale (VAS). Performance of the scales was evaluated by psychometric analysis. Logistic regression was used to compare pain scores with patient demographics, burn demographics, and administered analgesia. Both CCPOT and ANVS were internally consistent and able to discriminate pain intensity. However, these scales had poor interrater reliability. Furthermore, they correlated poorly with patients' self-reports of pain per the NRS and VAS pain scale scores. By logistic regression, all the pain scales showed a decrease in patient pain corresponding to the length of time after the burn. Otherwise, pain was not related to any patient demographics or evaluator experience. The size of burn was the only burn-related variable significantly associated with the pain scores, and this was only for the scores obtained with the CCPOT scale. In addition, only CCPOT and ANVS scales correlated with administered analgesia during hospitalization. The authors conclude that CCPOT and ANVS do not accurately assess pain in burn patients. However, it seems that the staff may administer analgesia based on several nonverbal clues encompassed in these scales. Future studies should address nonverbal signs of pain in burn patients. These signs could then be used in pain scales to target burn patient pain more effectively.

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Year:  2011        PMID: 21116190     DOI: 10.1097/BCR.0b013e3182033359

Source DB:  PubMed          Journal:  J Burn Care Res        ISSN: 1559-047X            Impact factor:   1.845


  7 in total

Review 1.  Pain Assessment in Noncommunicative Adult Palliative Care Patients.

Authors:  Deborah B McGuire; Karen Snow Kaiser; Mary Ellen Haisfield-Wolfe; Florence Iyamu
Journal:  Nurs Clin North Am       Date:  2016-09       Impact factor: 1.208

2.  Validation and evaluation of two observational pain assessment tools in a trauma and neurosurgical intensive care unit.

Authors:  Jane Topolovec-Vranic; Céline Gelinas; Yangmei Li; Mary Ann Pollmann-Mudryj; Jennifer Innis; Amanda McFarlan; Sonya Canzian
Journal:  Pain Res Manag       Date:  2013 Nov-Dec       Impact factor: 3.037

Review 3.  Sedation and Pain Management in Burn Patients.

Authors:  Cornelia Griggs; Jeremy Goverman; Edward A Bittner; Benjamin Levi
Journal:  Clin Plast Surg       Date:  2017-04-18       Impact factor: 2.017

4.  Methods Used to Evaluate Pain Behaviors in Rodents.

Authors:  Jennifer R Deuis; Lucie S Dvorakova; Irina Vetter
Journal:  Front Mol Neurosci       Date:  2017-09-06       Impact factor: 5.639

Review 5.  Pain measurement techniques: spotlight on mechanically ventilated patients.

Authors:  Isabela Freire Azevedo-Santos; Josimari Melo DeSantana
Journal:  J Pain Res       Date:  2018-11-21       Impact factor: 3.133

6.  Pain Behavior Experienced During Nursing Interventions by Patients on Mechanical Ventilation: A Cross-Sectional Study.

Authors:  Ece Kurt; Ayten Zaybak
Journal:  Florence Nightingale J Nurs       Date:  2022-06

7.  Translation, adaptation, and validation of the behavioral pain scale and the critical-care pain observational tools in Taiwan.

Authors:  Nai-Huan Hsiung; Yen Yang; Ming Shinn Lee; Koustuv Dalal; Graeme D Smith
Journal:  J Pain Res       Date:  2016-09-15       Impact factor: 3.133

  7 in total

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