AI Health Literacy, Trust in AI-Generated Health Videos, and Perceived Health Teaching Competency Among Barangay Health Workers
DOI:
https://doi.org/10.69569/jip.2026.429Keywords:
AI health literacy, Artificial intelligence, Barangay Health Workers, Health teaching competency, Trust in AI-generated health informationAbstract
Artificial intelligence (AI) has become an important source of health information among Barangay Health Workers (BHWs), creating opportunities for health education while highlighting the need for adequate AI health literacy and appropriate trust in AI-generated health information in teaching DOH-approved herbal medicines. However, it remains unclear whether BHWs’ AI health literacy and trust in AI-generated health videos relate to their perceived health teaching competency. This study examined relationships between AI health literacy, trust in AI-generated health videos, and perceived health teaching competency on DOH-approved herbal medicines among 111 middle-aged (40-59 years old) BHWs in Rizal, Philippines. A quantitative, descriptive-correlational design with purposive sampling was employed. Data were collected using adapted AI Literacy Scale (AILS) and Trust in AI-Generated Health Advice (TAIGHA) questionnaires and a researcher-developed Perceived Health Teaching Competency Questionnaire, all self-reported. Data were analyzed using descriptive and inferential statistics, including Pearson’s r, Chi-square, Cramer’s V, and the contingency coefficient. Results showed that BHWs had moderately high AI health literacy (M = 3.27, SD = 0.99) and trust in AI-generated health videos (M = 3.06, SD = 1.01), and moderately good perceived health teaching competency, with self-perceived knowledge rated highest (M = 3.36, SD = 1.03), followed by self-perceived attitude (M = 3.13, SD = 1.15) and self-perceived skills (M = 2.98, SD = 1.09). AI health literacy was positively correlated with self-perceived knowledge (r = .56), self-perceived skills (r = .65), and self-perceived attitude (r = .61). Similarly, trust was positively correlated with self-perceived knowledge (r = .77), self-perceived skills (r = .74), and self-perceived attitude (r = .78) (all p < .001). These findings highlight the need to strengthen AI health literacy and foster appropriate trust. Accordingly, the proposed AI Health Teaching Competency Enhancement Program (AI-HTCEP) aims to promote critical evaluation of AI-generated information and enhance evidence-based health teaching.
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