A Study on the Application of Digital Technology to Enhance the Efficiency of Village Health Volunteers

Main Article Content

Meesaen Kaenchuwongk
Jakret Mettathamrong
Chudchai Rattanaphunt

Abstract

          This research aims to (1) study the application of digital technology to enhance the efficiency of Village Health Volunteers (VHVs), and (2) examine the application of digital technology that influences the performance of VHVs. The sample group used in this research consists of 400 Village Health Volunteers in Sakon Nakhon Province. Data were collected using a questionnaire and analyzed through means, standard deviations, and Partial Least Squares Structural Equation Modeling (PLS-SEM) using the ADANCO software to determine both direct and indirect effects. The research findings revealed that: (1) the application of technology consists of the use of technology in public health, education, online systems, administration with government agencies, data recording and storage, communication, social networking, and information searching; and (2) the application of technology has no direct influence on the performance of Village Health Volunteers (VHVs). This may be due to the limited intensity of technology use among VHVs and insufficient technological support for their operations. Some studies have noted that elderly VHVs are not familiar with modern communication devices. However, this study found that (1) the application of technology in public health work affects data recording and storage; (2) the application of technology in education affects information searching; (3) the application of online systems affects administration with government agencies, social networking, and information searching; and (4) the application of technology in administration with government agencies affects communication. The research findings are the conclusions drawn from analyzing variables in a study will inform the development of an action plan to facilitate inter-organizational collaboration.

Article Details

Section
บทความวิจัย (Research Article)

References

Aditi, P., Laina, S., Meera, B., Raymond, K., Lisa, M. B., Arunkumar, S., Patrick, B., Daniela, Z., Corinne, D., Steven, L., & Adi, G. (2024). Proposed Framework for Adopting Privacy-Preserving Record Linkage for Public Health Action. Journal of Public Health Management and Practice, 31(1), E26-E33. doi: 10.1097/PHH.0000000000002027

Apichatammarit, N. (2022). The use of smartphones among health volunteers in Nongbuarawae, Chiyaphum. Chaiyaphum Medical Journal, 42(2), 82-92.

Banyati, S., & Apima, S. (2024). Effectiveness of using Digital Technology system in Community Nursing in the Primary Health Care system: Case study of Mueang Tak District, Tak Province. Journal of Public Health Tak Province, 4(2), 33-47.

Batoon, J. A., Benitez, A. B., Cajucom, K. Z., Dalusung, M. J. M., Faustino, S. J. D., Galvez, I. N. D., & Mercado, L. J. L. (2022). Public Health Record Management System: An Up-Close Monitoring System. International Journal of Advanced Trends in Computer Science and Engineering, 11(3), 96-100. doi: 10.30534/ijatcse/2022/041132022

Behera, B. K., Prasad, R., & Shyambhavee. (2022). Chapter 4 - Health-care information technology and rural community. Academic Press. doi.org/10.1016/B978-0-323-90446-9.00004-6

Chomphuviset, P. (2022). Learning process for competencies of village health volunteers 4.0, roi-et. Primary Health Care Journal (Northeastern Edition), 37(2), 34-47.

Dasgupta, A., Ghosh, S. K., & Mitra, P. (2015). A mobile volunteered geographic information management platform for rural health informatics, 2015 17th International Conference on E-health Networking, Application & Services (HealthCom), Boston, MA, USA, 2015, pp. 381-384, doi: 10.1109/HealthCom.2015.7454530.

Deeudom, S., Mettathamrong, J., & Pakkarato, S. (2024). The Influence of Technology Acceptance Components on Information Technological Competence of Village Health Volunteers to Increase Performance Efficiency. Parichart Journal, 37(4), 938-955. (In Thai)

Emmanuel, G., Hungilo, G. G., & Rahardjo Emanuel, A. W. (2019). A Mobile Application System for Community Health Workers-A Review. In Proceedings of the 2019 5th International Conference on Computing and Artificial Intelligence (ICCAI '19). Association for Computing Machinery, New York, NY, USA, 106–110. https://doi.org/10.1145/3330482.3330485

Fant, G. V. (2023). Technical Review: Key concepts of health database management for public health workforce development in resource-limited settings. International Journal of Science and Research Archive, 9(2), 222-230. doi url: https://doi.org/10.30574/ijsra.2023.9.2.0526

Fornell, C., & Larcker, D. F. (1981) Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18, 39-50. https://doi.org/10.1177/002224378101800104

Glynn, M. K., Jenkins, M. L., Ramsey, C., & Simone, P. M. (2019). Public Health Workforce 3.0: Recent Progress and What's on the Horizon to Achieve the 21st-Century Workforce. Journal of Public Health Management and Practice, 25(2), S6-S9. doi: 10.1097/PHH.0000000000000971

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis. 7th Edition, Pearson, New York.

Hair, J., Ringle, C., & Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19, 139-151. https://doi.org/10.2753/MTP1069-6679190202

Junior, R., Puspitasari, N., & Pamungkas, C. A. (2024). Penerapan website dilan kepada masyarakat di desa sobayan. Bengawan Jurnal Pengabdian Masyarakat, 4(1), 9-17. doi: https://doi.org/10.46808/jurnal_bengawan.v4i1.103

Kagiri, M., Waiganjo, P., Orwa, D., & Ngechu, R. (2015). Enhancing Community Based Health Information System (CBHIS) Reporting Through Open-Source Short Message Service-Based Tool. International Journal of Education and Research, 3(4), 475-484. http://www.ijern.com/journal/2015/April-2015/40.pdf

Karnjanapiboonwong, A., & Sanchaisuriya, P. (2021). Assessment of readiness of village health volunteers for population-based blood pressure screening by using automaticblood pressure measurement device with internet ofthings technology in 4 provinces, Thailand. Disease Contron Journal, 47(2), 278-288.

Kim, H. M., Saffer, A. J., Liu, W., Sun, J., Li, Y., Zhen, L., & Yang, A. (2021). How Public Health Agencies Break through COVID-19 Conversations: A Strategic Network Approach to Public Engagement. Health Communication, 37(10), 1276-1284. https://doi.org/10.1080/10410236.2021.1886393

Kumara, B. B., Ram, P., & Shyambhavee. (2022). Health-care information technology and rural community. Healthcare Strategies and Planning for Social Inclusion and Development. Academic Press. 85-117. doi.org/10.1016/B978-0-323-90446-9.00004-6

Kuule, Y., Dobson, A. E., Woldeyohannes, D., Zolfo, M., Najjemba, R., Edwin, B. M. R., Haven, N., Verdonck, K., Owiti, P., & Wilkinson, E. (2017). Community Health Volunteers in Primary Healthcare in Rural Uganda: Factors Influencing Performance. Front. Public Health, 5(62). doi: 10.3389/fpubh.2017.00062

Lough, B. J., Tiessen, R., & Lasker, J. N. (2018). Effective practices of international volunteering for health: perspectives from partner organizations. Global Health, 14(11), 1-11. https://doi.org/10.1186/s12992-018-0329-x

Malik, L. E., Makhfudli, M., & Hadisuyatmana, S. (2017). Factors Influencing a Public Health Centre Volunteers in Promoting Dengue Eradication Program. Proceedings of the 8th International Nursing Conference on Education, Practice and Research Development in Nursing (INC 2017). DOI 10.2991/inc-17.2017.38

Modchang, P., Pramoratet, P., & Panprem, P. (2021). Village Health Volunteers (Volunteers) with Information Technology Amidst the COVID-19 Epidemic," 2021 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunication Engineering, Cha-am, Thailand, 2021, pp. 253-256, doi: 10.1109

Nunnally, J.C, & Bernstein, I. H. (1994). The Assessment of Reliability. Psychometric Theory, 3, 248-292.

Ogutu, M. O., Kamui, E., Abuya, T., & Muraya, K. (2023). We are their eyes and ears here on the ground, yet they do not appreciate us—Factors influencing the performance of Kenyan community health volunteers working in urban informal settlements. PLOS Glob Public Health, 3(8), e0001815. https://doi.org/10.1371/journal.pgph.0001815

Prathong, N., & Sirivat, V. (2023). Roles of village health volunteers in prevention and control of Corona virus 2019 (COVID-19). Journal of MCU Ubon Review, 8(3), 1341-1352.

Saikamnor, E., Sriyakun, D., & Keawyam, S. (2024). Factors Affecting the Acceptance of Village Health Volunteers in Using the Web-Based Health Screening Innovations for Older Persons. Journal of Health Systems Research, 18(1), 93-108.

Sangwaree, J. (2018). The Development of Communication Information system for support in the Operation of Community Health Volunteers in Bangkok. Journal of Vocational and Technical Education, 8(15), 86-96.

Silesky, M. D., Sittig, J., & Bonnevie, E. (2023). Digital Volunteers as Trusted Public Health Communicators. Health Promotion Practice. doi:10.1177/15248399231221158

Siritarungsri, B., & Suwatthipong, C. (2023). Elderly people in digital era: health challenges. Journal of Health and Food Creation, 1(1), 51-63.

Xia, Q., Xu, Y., Liu, X., Liu, Y., Wu, J., & Zhang, M. (2023). Effects of Social Networks on Job Performance of Individuals among the Hypertension Management Teams in Rural China. Healthcare, 11, 2218. https://doi.org/10.3390/healthcare11152218

Yaebkai, Y., & Wongsawat, P. (2022). Factors affecting performance of village health volunteers in Sukhothai, Thailand. Journal of Public Health and Development, 20(1), 120-131.

Yuenyong, P., Krabthip, Y., Jongprasit, K., Kaew-on, K., Songjaeng, N., Nalai, T., Thongnat, P., Srimora, S., Diawwattanawiwa, T., & Kohtbantau, S. (2024). Positive psychological capital using the applications “Aorsormor online” of the village health volunteers in Seansuk sub-district, Mueang district, Chonburi province. Research and Development Health System Journal, 17(1), 113-126.