Disclosure: The authors have no conflict of interest related to their work in this manuscript.
Original Research Article
Can Adding a Standardized Observational Tool to Interdisciplinary Evaluation Enhance the Detection of Pain in Older Adults with Cognitive Impairments?
Version of Record online: 11 DEC 2013
Wiley Periodicals, Inc
Volume 15, Issue 1, pages 32–41, January 2014
How to Cite
Apinis, C., Tousignant, M., Arcand, M. and Tousignant-Laflamme, Y. (2014), Can Adding a Standardized Observational Tool to Interdisciplinary Evaluation Enhance the Detection of Pain in Older Adults with Cognitive Impairments?. Pain Medicine, 15: 32–41. doi: 10.1111/pme.12297
- Issue online: 16 JAN 2014
- Version of Record online: 11 DEC 2013
- Fond de recherche en santé du Québec
- Pain Assessment;
- Long-Term Care Facilities;
The prevalence of chronic pain ranges from 40% to 80% in long-term care facilities, and it is especially high among older adults who are unable to communicate due to cognitive impairments. Although validated assessment tools exist, pain detection in this population is often done by interdisciplinary evaluation (IE), which largely relies on the subjective impression of health care providers. The aim of this study was to examine the agreement between the IE and validated observational pain tools.
We recruited 59 residents with limited ability to communicate. The pain behaviors of each participant were assessed with two validated tools, the Pain Assessment Checklist for Seniors with Limited Ability to Communicate (PACSLAC) and the Pain Assessment in Advanced Dementia (PAINAD), during transfer or mobilization. The results were then compared with the findings of the IE.
The correlation between the PACSLAC and PAINAD was high (r = 0.79 [95% CI: 0.67–0.87]). However, we found a low to moderate association between the PACSLAC and the IE (r = 0.34 [95% CI: 0.09–0.55]), and a weaker association was observed between the PAINAD and the IE (r = 0.25 [95% CI: −0.02–0.48]). When the IE concluded that there was an absence of pain behavior, the PAINAD and the PACSLAC detected the presence of pain in 13.6% and 27.1% of the cases respectively.
These results may be explained by an inability of IE to assess pain correctly or by instruments providing false positive results. Nevertheless, as detection of pain is difficult in this population, our research supports the use of validated tools to complement assessment of pain by the IE and make sure that no pain goes undetected.