Evaluating Training Effectiveness for a Technology-Driven Pain Assessment Application: A Cross-Sectional Study.

IF 2.5 4区 医学 Q2 NURSING
Rosemary Saunders, Peter Palamara, Seng Giap Marcus Ang, Olivia Gallagher, Michelle Gay, Irene Ngune, Lauren Jenner, Amineh Rashidi, Christopher Etherton-Beer, Jeff Hughes
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Abstract

Purpose: Appropriate pain assessment of adults is critical for effective pain management. Technology-driven tools can contribute to improved pain assessments. Training is vital when integrating new clinical digital tools. Minimal studies have evaluated post-training outcomes. The aim of this study was to evaluate the training provided to clinical staff on the use of a pain assessment application for hospitalized adult patients.

Design: A cross-sectional study utilizing The Kirkpatrick Model of Training Evaluation.

Methods: Clinical staff (nurses and physiotherapists) on an acute metropolitan hospital orthopedic ward in Western Australia were invited to face-to-face training of PainChek Universal, a pain assessment application using artificial intelligence. One-hour training used didactic delivery and hands-on practice. Training effectiveness was evaluated against Kirkpatrick's Levels 1 and 2 via a 43-item survey, including two open-ended questions. Data were analyzed using SPSS 25 and content analysis of open-ended responses.

Results: A total of 44 staff attended training 19 (43.2%) completed the post-training survey. Most respondents were satisfied with the training and confident to use the application (94.7%). Ten participants (52.6%) desired additional post-training support post-training and 14 (73.7%) agreed the application appears easy to use. Eighteen (94.7%) felt it would be a positive addition to pain assessment. Staff's correct knowledge scores varied (36.8% to 84.2%), indicating a need for further education.

Conclusions and clinical implications: Training of a technology-driven application for pain assessment is essential for effective implementation to improve care. Training enabled staff to acquire knowledge and skills, develop user confidence, and understand usability and utility of the application.

评估技术驱动的疼痛评估应用的训练效果:一项横断面研究。
目的:适当的成人疼痛评估是有效的疼痛管理的关键。技术驱动的工具有助于改进疼痛评估。在整合新的临床数字化工具时,培训是至关重要的。很少有研究评估了训练后的结果。本研究的目的是评估为住院成人患者提供的临床工作人员使用疼痛评估应用程序的培训。设计:利用Kirkpatrick训练评估模型的横断面研究。方法:邀请西澳某大城市医院骨科急症病房的临床工作人员(护士和物理治疗师)进行人工智能疼痛评估应用PainChek Universal的面对面培训。一小时的培训采用说教式授课和动手练习。培训效果是根据柯克帕特里克的1级和2级进行评估,通过43个项目的调查,包括两个开放式问题。采用SPSS 25对数据进行分析,并对开放式问卷进行内容分析。结果:共有44名员工参加了培训,其中19名(43.2%)完成了培训后调查。大多数受访者对培训感到满意,并有信心使用该应用程序(94.7%)。10名参与者(52.6%)希望在培训后获得额外的培训后支持,14名参与者(73.7%)同意该应用程序看起来易于使用。18人(94.7%)认为这将是对疼痛评估的积极补充。员工的正确知识得分各不相同(36.8%至84.2%),表明需要继续接受教育。结论和临床意义:培训技术驱动的疼痛评估应用程序对于有效实施以改善护理至关重要。培训使员工能够获得知识和技能,培养用户信心,并了解应用程序的可用性和实用性。
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来源期刊
Pain Management Nursing
Pain Management Nursing 医学-护理
CiteScore
3.00
自引率
5.90%
发文量
187
审稿时长
>12 weeks
期刊介绍: This peer-reviewed journal offers a unique focus on the realm of pain management as it applies to nursing. Original and review articles from experts in the field offer key insights in the areas of clinical practice, advocacy, education, administration, and research. Additional features include practice guidelines and pharmacology updates.
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