https://so06.tci-thaijo.org/index.php/vrurdistjournal/issue/feed Science and Technology for Emerging Innovations in Praxis 2026-05-06T16:15:35+07:00 Assistant Professor. Dr.Winakon Theerak rdi_journalsci@vru.ac.th Open Journal Systems <p>A journal to be a medium for disseminating research papers in science and technology. To researchers and general people Promote cooperation in exchanging opinions, knowledge, experience in science, Engineering (miscellaneous) and technology research between institutions.</p> <p><a href="https://portal.issn.org/resource/ISSN/3027-7353">ISSN: 3027-7353 (Online)</a></p> https://so06.tci-thaijo.org/index.php/vrurdistjournal/article/view/293626 The Generational Differences on The Performance of Village Health Volunteers Under The “Village Health Volunteer: Family Doctor Model” Policy, Muang District, Chaiyaphum Province 2026-03-19T09:36:14+07:00 Wanna Suttiwan wanna.sut@vru.ac.th Nadchar Yanti wanna.sut@vru.ac.th Deachawat Krongsombut wanna.sut@vru.ac.th <p>Despite increasing policy emphasis on digitally supported community health services under the Thailand 4.0 initiative, limited evidence exists on whether Village Health Volunteer (VHV) performance differs across generational groups in local implementation contexts. Objective: This study examined whether operational performance under the "Village Health Volunteer: Family Doctor Model" policy differed across generational groups among VHVs in Muaang District, Chaiyaphum Province. Methods: A cross-sectional survey was conducted among 294 VHVs selected through stratified random sampling. Data were collected using a structured questionnaire with acceptable content validity (IOC = 0.67–1.00) and reliability (α = 0.89) and were analyzed using descriptive statistics and one-way ANOVA. Results: The majority of VHVs (54.08%) belonged to Generation X. Most VHVs demonstrated good overall performance (86.39%), with basic public health service provision achieving the highest mean score (M = 3.59, SD = 0.70). Operational performance differed significantly across generational groups, F(3, 290) = 4.75, p = .003. Post hoc analysis indicated that Generation Y differed significantly from the Baby Boomer and Generation X groups. Conclusions: These findings suggest the need for generation-responsive strategies to strengthen VHV capacity, particularly in relation to digital adaptation and role-specific community health practice.</p> 2026-05-06T00:00:00+07:00 Copyright (c) 2026 Science and Technology for Emerging Innovations in Praxis