METHODS: A total of 129 newly diagnosed patients with cancer were consecutively sampled. Reliability and validity of the questionnaire were tested using translation validity, test-retest reliability, Principal Component Analysis, Cronbach's alpha coefficient for domains and item-total correlation.
RESULTS: The questionnaire indicates excellent test-retest reliability. The Principal Component Analysis (PCA) revealed that Kaiser-Meyer-Olkin (KMO) is 0.60 for the two-factor structure of the Brief Illness Perception Questionnaire of the Bahasa Malaysia version which consists of cognitive illness representation and emotional illness representation.
CONCLUSION: The Brief Illness Perception Questionnaire in the Bahasa Malaysia version is a useful tool to use among patients with cancer in Malaysia context despite moderate psychometric properties. This is based on the premise that the questionnaire can be used as a quick tool to assess illness perceptions among Malaysian with cancer in routine oncology practice.
OBJECTIVE: This study aimed to explore Malaysian healthcare professionals' (HCPs') perspectives on the use of AI in mobile apps for diabetes education and behavioural management.
METHODS: Qualitative study using semi-structured interviews with 19 HCPs across Malaysia. Interviews were conducted via video conferencing, recorded, transcribed, and analysed using thematic analysis with NVivo 14 software.
RESULTS: Seven key themes emerged: (1) acceptance and trust, (2) impact on patient behaviour, (3) skills and abilities required, (4) problems and obstacles, (5) key features and functions, (6) HCPs' and patients' information needs, and (7) strategies for increasing patient adoption. HCPs expressed positive sentiments towards AI-based apps, highlighting their potential for continuous, personalized education and real-time feedback. However, significant concerns were raised about accessibility for older adults, data privacy, and the apps' ability to modify entrenched behaviours without human intervention.
CONCLUSION: AI-based mobile apps show potential for improving diabetes management, but successful implementation requires addressing challenges. Strategies should focus on developing user-friendly interfaces, providing comprehensive education for patients and providers, and ensuring robust data protection. Future research should quantify the impact on patient outcomes and explore effective integration of human support with AI capabilities.