Abstract
Background: Pain is often underassessed and undertreated among long-term care (LTC) residents living with dementia. When used regularly, the Pain Assessment Checklist for Seniors With Limited Ability to Communicate (PACSLAC) scales have been shown to have beneficial effects on pain assessment and management practices and stress and burnout levels in frontline staff in LTC facilities. Such scales, however, are not utilized as often as recommended, which is likely to be related to additional record-keeping and tracking over time involved with their paper-and-pencil administration. Objective: Using implementation science principles, we assessed the introduction of the PACSLAC-II scale by comparing two methods of administration—a newly developed tablet app version and the original paper-and-pencil version—with respect to the frequency of pain assessment and facility staff feedback. Methods: Using a case series approach, we tracked pain-related quality indicators at baseline, implementation, and follow-up periods. A quasi-experimental design was used to evaluate the effect of the method of administration (ie, paper-and-pencil only [n=18], tablet only [n=12], paper-and-pencil followed by tablet app [n=31], and tablet app followed by paper-and-pencil [n=31]) on pain assessment frequency and frontline staff stress and burnout levels. Finally, semistructured interviews were conducted with frontline staff to obtain perspectives on each method of administration. Results: The implementation effort resulted in a great increase in pain assessment frequency across 7 independent LTC units, although these increases were not maintained during the follow-up period. Frontline staff reported lower levels of workload in the paper-and-pencil followed by tablet app condition than those in the paper-and-pencil only (P
Author supplied keywords
Cite
CITATION STYLE
Zahid, M., Gallant, N. L., Hadjistavropoulos, T., & Stroulia, E. (2020). Behavioral pain assessment implementation in long-term care using a tablet app: Case series and quasi-experimental design. JMIR MHealth and UHealth, 8(4). https://doi.org/10.2196/17108
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.