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Evaluating Training Effectiveness for a Technology-Driven Pain Assessment Application: A Cross-Sectional Study
Rosemary Saunders1, Peter Palamara1, Seng Giap Marcus Ang1
1Centre for Research in Aged Care, School of Nursing and Midwifery, Edith Cowan University, Joondalup, Western Australia, Australia.
Summary
Training healthcare staff on a new digital pain assessment tool improved their confidence and knowledge. Further education is recommended to enhance correct knowledge scores for better pain management in adult patients.
Area of Science:
- Digital Health
- Clinical Informatics
- Pain Management Technology
Background:
- Effective pain assessment is crucial for managing adult patients.
- Technology-driven tools can enhance pain assessment accuracy.
- Clinical staff training is vital for adopting new digital health solutions.
Purpose of the Study:
- To evaluate the effectiveness of training provided to clinical staff on a novel AI-powered pain assessment application.
- Assess staff knowledge, confidence, and usability perceptions post-training.
Main Methods:
- A cross-sectional study using Kirkpatrick's Model of Training Evaluation.
- Face-to-face training on the PainChek Universal application for nurses and physiotherapists.
- Post-training survey (43 items) and content analysis of open-ended responses.
Main Results:
- High satisfaction (94.7%) and confidence (94.7%) in using the pain assessment application.
- Varied knowledge scores (36.8%-84.2%) indicate a need for further education.
- Most staff found the application easy to use and a positive addition to pain assessment.
Conclusions:
- Training is essential for the successful implementation of technology-driven pain assessment tools.
- The training enhanced staff knowledge, skills, confidence, and understanding of the application's utility.
- Further educational support may be needed to optimize knowledge acquisition and application use.
