Authors (including presenting author) :
Cheung HL(1),Kwong MK(1), Li YY(1), Li WC(1), Cheng W(2), Lee H(2), Lau A(2), Chan E(2), Chow D(3)
Affiliation :
(1)Central Nursing Division, Queen Elizabeth Hospital, (2)Cluster Information Technology Division, Kowloon Central Cluster, (3)Information Technology and Health Informatics Division, Hospital Authority
Keyword 1: :
Mobile Nursing
Keyword 2: :
Point of Care
Keyword 3: :
Clinical Decision
Introduction :
This study evaluated nurses’ acceptance of Smart PALM (Android phone) by utilizing the Technology Acceptance Model (TAM) within a pre-post test evaluation framework. The integration of mobile technologies in nursing practice aims to enhance communication, patient safety, and operational efficiency. By providing immediate access to clinical information and documentation at the point of care, Smart PALM has the potential to significantly transform nursing workflows and improve patient outcomes. Understanding nurses' perceptions of this technology is essential for its successful implementation and sustained utilization in clinical settings.
Objectives :
(1) To assess nurses’ Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Behavioral Intention (BI), and External Factors (EF) related to Smart PALM before and after implementation; (2) to determine statistically significant pre-post changes in TAM constructs; (3) to explore subgroup differences based on professional rank, years of clinical experience, and ward nature; and (4) to formulate implementation recommendations for Smart PALM and related technologies based on quantitative findings.
Methodology :
Thirty matched nursing staff from five wards at Queen Elizabeth Hospital completed a TAM-based questionnaire before and after a familiarization period. Data were analyzed using paired-samples t-tests and effect sizes (Cohen’s d).
Result & Outcome :
Results:
Positive changes were observed across all constructs. PU increased from 3.35 to 3.60 (p=0.159, d=0.26), PEOU from 3.39 to 3.72 (p=0.061, d=0.36), BI from 3.35 to 3.77 (p=0.008, d=0.53), and EF from 3.35 to 3.84 (p< 0.001, d=0.78). Registered Nurse with 5-10 years of experience exhibited the most significant gains. Increased accessibility to comprehensive information within Smart PALM is anticipated to enhance its adoption among nursing staff. Notably, wards with automated clinical systems demonstrated particularly strong improvements in both Behavioral Intention and External Factors. Conclusions:
The implementation of Smart PALM resulted in significant improvements in nurses' Behavioral Intention to utilize the applications and their perceptions of organizational support. While improvement in Perceived Usefulness and Perceived Ease of Use were observed, further attention to these areas is essential for fostering sustained acceptance. These findings underscore the importance of ongoing training and tailored support strategies in maximizing technology adoption and integrating it into clinical practice.
