ANALISIS FAKTOR KESIAPAN TEKNOLOGI DAN KEMAUAN UNTUK SEHAT YANG MENJADIKAN WANITA BERNIAT MENGGUNAKAN APLIKASI KESEHATAN FLO HEALTH

Fama Ashfa Mu’izzati, Didik Setyawan, Sugiyarmasto Sugiyarmasto, Abdullah Zailani

Abstract


This study aims to analyze women's intentions to use the Flo Health menstrual calendar application through factors forming intentions so that women care more about the stability of their menstrual cycle and quality of life. This research used a sample of 214 respondents from a questionnaire distributed online. The sampling method uses non-probability sampling with a purposive sampling approach. Hypothesis testing was carried out using SEM (Structural Equation Modeling) analysis. The research findings show four supported hypotheses and one unsupported hypothesis, the perceived usefulness variable directly influences the intention to use. Technology readiness, health self-efficacy, self health awareness directly influence the variable perceived usefulness as a mediating variable. The self-reported health condition variable does not have a significant effect on the perceived usefulness variable.

Keywords


Intention to Use, Perceived Usefulness, Technology Readiness, Health Self-efficacy, Self Health Awareness, Self-reported Health Conditions.

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References


Alsyouf, A., Lutfi, A., Alsubahi, N., Alhazmi, F. N., Al-Mugheed, K., Anshasi, R. J., Alharbi, N. I., & Albugami, M. (2023). The Use of a Technology Acceptance Model (TAM) to Predict Patients’ Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability. International Journal of Environmental Research and Public Health, 20(2). https://doi.org/10.3390/ijerph20021347

Baker, D. W., Parker, R. M., Williams, M. V., Clark, W. S., & Nurss, J. (1997). The relationship of patient reading ability to self-reported health and use of health services. American Journal of Public Health, 87(6), 1027–1030. https://doi.org/10.2105/AJPH.87.6.1027

Balapour, A., Reychav, I., Sabherwal, R., & Azuri, J. (2019). Mobile technology identity and self-efficacy: Implications for the adoption of clinically supported mobile health apps. International Journal of Information Management, 49(October 2018), 58–68. https://doi.org/10.1016/j.ijinfomgt.2019.03.005

Boon-Itt, S. (2019). Quality of health websites and their influence on perceived usefulness, trust and intention to use: An analysis from Thailand. Journal of Innovation and Entrepreneurship, 8(1), 1–18. https://doi.org/10.1186/s13731-018-0100-9

bps.go.id. (2024). Proporsi Individu yang Menguasai/Memiliki Telepon Genggam Menurut Kelompok Umur (Persen), 2021-2023.

Chiu, W., & Cho, H. (2021). The role of technology readiness in individuals’ intention to use health and fitness applications: a comparison between users and non-users. Asia Pacific Journal of Marketing and Logistics, 33(3), 807–825. https://doi.org/10.1108/APJML-09-2019-0534

Chrisdianti, G. O., Handayani, P. W., Azzahro, F., & Yudhoatmojo, S. B. (2023). Users’ Intention to Use Mobile Health Applications for Personal Health Tracking. Jurnal Sistem Informasi, 19(1), 1–12. https://doi.org/10.21609/jsi.v19i1.1196

Daragmeh, A., Sági, J., & Zéman, Z. (2021). Continuous intention to use e-wallet in the context of the covid-19 pandemic: Integrating the health belief model (hbm) and technology continuous theory (tct). Journal of Open Innovation: Technology, Market, and Complexity, 7(2). https://doi.org/10.3390/joitmc7020132

Ferreira, A., Silva, G. M., & Dias, Á. L. (2023). Determinants of continuance intention to use mobile self-scanning applications in retail. International Journal of Quality and Reliability Management, 40(2), 455–477. https://doi.org/10.1108/IJQRM-02-2021-0032

Gestiardi, R., Sarwanto, S., Chumdari, C., & Maryani, I. (2021). Using an Technology Readiness Model to Understand Perceived Usefulness of Learning in the Covid-19 Era. International Journal of Elementary Education, 5(4), 631. https://doi.org/10.23887/ijee.v5i4.39188

Ghaleb, E. A. A., Dominic, P. D. D., Singh, N. S. S., & Naji, G. M. A. (2023). Assessing the Big Data Adoption Readiness Role in Healthcare between Technology Impact Factors and Intention to Adopt Big Data. Sustainability (Switzerland), 15(15), 1–25. https://doi.org/10.3390/su151511521

Handayani, P. W., Gelshirani, N. B., Azzahro, F., Pinem, A. A., & Hidayanto, A. N. (2020). The influence of argument quality, source credibility, and health consciousness on satisfaction, use intention, and loyalty on mobile health application use. Informatics in Medicine Unlocked, 20, 100429. https://doi.org/10.1016/j.imu.2020.100429

Handayani, P. W., Meigasari, D. A., Pinem, A. A., Hidayanto, A. N., & Ayuningtyas, D. (2018). Critical success factors for mobile health implementation in Indonesia. Heliyon, 4(11), e00981. https://doi.org/10.1016/j.heliyon.2018.e00981

Hapsari, N. M., Prawiradilaga, R. R. S., & Muhardi, M. (2023). Pengaruh Persepsi Kemudahan, Persepsi Kebermanfaatan, dan Kualitas Informasi terhadap Minat Masyarakat Kota Bogor dalam Penggunaan Layanan Telemedicine (Studi Pada Pengguna Aplikasi Halodoc, Alodokter, Yesdok). Jurnal Nasional Manajemen Pemasaran & SDM, 4(3), 100–119. https://doi.org/10.47747/jnmpsdm.v4i3.1363

Harris, M. T., & Rogers, W. A. (2023). Developing a Healthcare Technology Acceptance Model (H-TAM) for Older Adults with Hypertension. Ageing and Society, 43(4), 814–834. https://doi.org/10.1017/S0144686X21001069

Hayya, R. F., Wulandari, R., & Sugesti, R. (2023). Hubungan Tingkat Stress, Makanan Cepat Saji Dan Aktivitas Fisik Terhadap Siklus Menstruasi Pada Remaja Di Pmb N Jagakarsa. SENTRI: Jurnal Riset Ilmiah, 2(4), 1338–1355. https://doi.org/10.55681/sentri.v2i4.751

Hoang, L., & Quoc, N. (2022). Factors impacting the intention to use digital social insurance application (VSSID) in Phan Thiet city, Binh Thuan province. World Journal of Advanced Research and Reviews, 16(1), 806–811. https://doi.org/10.30574/wjarr.2022.16.1.1068

Illahi, F. N. K. (2023). Analisis User Experience Aplikasi Flo Health Menggunakan Alat Ukur HEART Metrics. In Faculty of Computer Science. UPN Veteran Jawa Timur.

Jarrar, Y., Awobamise, A. O., & Sellos, P. S. (2020). Technological readiness index (TRI) and the intention to use smartphone apps for tourism: A focus on indubai mobile tourism app. International Journal of Data and Network Science, 4(3), 297–304. https://doi.org/10.5267/j.ijdns.2020.6.003

Jeng, M. Y., Pai, F. Y., & Yeh, T. M. (2022). Antecedents for Older Adults’ Intention to Use Smart Health Wearable Devices-Technology Anxiety as a Moderator. Behavioral Sciences, 12(4). https://doi.org/10.3390/bs12040114

Kampa, R. K. (2023). Combining technology readiness and acceptance model for investigating the acceptance of m-learning in higher education in India. Asian Association of Open Universities Journal, 18(2), 105–120. https://doi.org/10.1108/AAOUJ-10-2022-0149

Khlaif, Z. N., Sanmugam, M., & Ayyoub, A. (2023). Impact of Technostress on Continuance Intentions to Use Mobile Technology. Asia-Pacific Education Researcher, 32(2), 151–162. https://doi.org/10.1007/s40299-021-00638-x

Ko, S., Lee, J., An, D., & Woo, H. (2023). Menstrual Tracking Mobile App Review by Consumers and Health Care Providers: Quality Evaluations Study. JMIR MHealth and UHealth, 11, 1–14. https://doi.org/10.2196/40921

Kolade, O., Odumuyiwa, V., Abolfathi, S., Schröder, P., Wakunuma, K., Akanmu, I., Whitehead, T., Tijani, B., & Oyinlola, M. (2022). Technology acceptance and readiness of stakeholders for transitioning to a circular plastic economy in Africa. Technological Forecasting and Social Change, 183(July). https://doi.org/10.1016/j.techfore.2022.121954

Kristianto, Y. E. (2021). Strategy of Technology Acceptance Model Utilization for Halodoc, a Telehealth Mobile Application with Task Technology Fit as Moderator Variable. International Journal of Innovative Science and Research Technology, 6(8).

Lee, J. M., Newman, M. W., Gebremariam, A., Choi, P., Lewis, D., Nordgren, W., Costik, J., Wedding, J., West, B., Gilby, N. B., Hannemann, C., Pasek, J., Garrity, A., & Hirschfeld, E. (2017). Real-World Use and Self-Reported Health Outcomes of a Patient-Designed Do-it-Yourself Mobile Technology System for Diabetes: Lessons for Mobile Health. Diabetes Technology and Therapeutics, 19(4), 209–219. https://doi.org/10.1089/dia.2016.0312

Leung, L., & Chen, C. (2019). E-health/m-health adoption and lifestyle improvements: Exploring the roles of technology readiness, the expectation-confirmation model, and health-related information activities. Telecommunications Policy, 43(6), 563–575. https://doi.org/10.1016/j.telpol.2019.01.005

Li, J., Ma, Q., Chan, A. H., & Man, S. S. (2019). Health monitoring through wearable technologies for older adults: Smart wearables acceptance model. Applied Ergonomics, 75(September 2018), 162–169. https://doi.org/10.1016/j.apergo.2018.10.006

McLean, K. A., Knight, S. R., Diehl, T. M., Varghese, C., Ng, N., Potter, M. A., Zafar, S. N., Bouamrane, M. M., & Harrison, E. M. (2023). Readiness for implementation of novel digital health interventions for postoperative monitoring: a systematic review and clinical innovation network analysis. The Lancet Digital Health, 5(5), e295–e315. https://doi.org/10.1016/S2589-7500(23)00026-2

Mensah, I. K. (2022). Understanding the Drivers of Ghanaian Citizens’ Adoption Intentions of Mobile Health Services. Frontiers in Public Health, 10(June). https://doi.org/10.3389/fpubh.2022.906106

Palos-Sanchez, P. R., Saura, J. R., Martin, M. Á. R., & Aguayo-Camacho, M. (2021). Toward a better understanding of the intention to use mhealth apps: Exploratory study. JMIR MHealth and UHealth, 9(9), 1–19. https://doi.org/10.2196/27021

Pan, M., & Gao, W. (2021). Determinants of the behavioral intention to use a mobile nursing application by nurses in China. BMC Health Services Research, 21(1), 1–11. https://doi.org/10.1186/s12913-021-06244-3

Ponzo, S., Wickham, A., Bamford, R., Radovic, T., Zhaunova, L., Peven, K., Klepchukova, A., & Payne, J. L. (2022). Menstrual cycle-associated symptoms and workplace productivity in US employees: A cross-sectional survey of users of the Flo mobile phone app. Digital Health, 8. https://doi.org/10.1177/20552076221145852

Puspitasari, C. A., Yuliati, L. N., & Afendi, F. (2021). Pengaruh Green Marketing, Kesadaran Lingkungan Dan Kesehatan Terhadap Keputusan Pembelian Produk Pangan Organik Melalui Sikap. Jurnal Aplikasi Bisnis Dan Manajemen, 7(3), 713–722. https://doi.org/10.17358/jabm.7.3.713

Puspitasari, I., & Firdauzy, A. (2019). Characterizing consumer behavior in leveraging social media for e-patient and health-related activities. International Journal of Environmental Research and Public Health, 16(18). https://doi.org/10.3390/ijerph16183348

Rahardja, U., Hapsari, I. D., Putra, P. O. H. A. D. I., & Hidayanto, A. N. (2023). Technological readiness and its impact on mobile payment usage: A case study of go-pay. Cogent Engineering, 10(1). https://doi.org/10.1080/23311916.2023.2171566

Rosyida, D. A. C. (2020). Effectiveness of Menstrual Calender Application to Adolescent Girl Behavior in District Gunung Anyar Tambak City of Surabaya. Jurnal Kebidanan, 10(1), 19–24. https://doi.org/10.31983/jkb.v10i1.5278

Sari, G. G., & Wirman, W. (2021). Telemedicine sebagai Media Konsultasi Kesehatan di Masa Pandemic COVID 19 di Indonesia. Jurnal Komunikasi, 15(1), 43–54. https://doi.org/10.21107/ilkom.v15i1.10181

Sari, K., Adelia, S., Made YUSMINI, N., Prodi Agribisnis, H., Tinggi Ilmu Pertanian Yapi Bone, S., NUROFIK Prodi Administrasi Bisnis, A., & Adabiah Padang, S. (2023). The Role of Perceived Ease of Use, Trust and Perceived Usefulness on Intention to Use Customer of Tix Id. JEMSI (Jurnal Ekonomi, 9(1), 132–139.

Scholz, U., Mundry, R., & Freund, A. M. (2023). Predicting the use of a COVID-19 contact tracing application: A study across two points of measurements. Applied Psychology: Health and Well-Being, May, 1673–1694. https://doi.org/10.1111/aphw.12461

Setyawan, D., Ashari, M. Z., & Yulandari, A. (2021). Extending of Technology Acceptance Model in Using Online Health Applications in The Covid-19 Pandemic Era. International Journal of Multidisciplinary: Applied Business and Education Research, 2(9), 752–763. https://doi.org/10.11594/ijmaber.02.09.06

Shi, N., Wong, A. K. C., Wong, F. K. Y., & Sha, L. (2023). Mobile Health Application-Based Interventions to Improve Self-management of Chemotherapy-Related Symptoms Among People with Breast Cancer Who Are Undergoing Chemotherapy: A Systematic Review. Oncologist, 28(4), e175–e182. https://doi.org/10.1093/oncolo/oyac267

Siripipatthanakul, S., Limna, P., Sriboonruang, P., & Kaewpuang, P. (2023). Applying the TPB and the UTAUT Models Predicting Intentions to Use Telemedicine Among Thai People During the COVID-19 Pandemic. International Journal of Computing Sciences Research, 7(June), 1362–1384. https://doi.org/10.25147/ijcsr.2017.001.1.107

Tahar, A., Riyadh, H. A., Sofyani, H., & Purnomo, W. E. (2020). Perceived ease of use, perceived usefulness, perceived security and intention to use e-filing: The role of technology readiness. Journal of Asian Finance, Economics and Business, 7(9), 537–547. https://doi.org/10.13106/JAFEB.2020.VOL7.NO9.537

Vinnikova, A., Lu, L., Wei, J., Fang, G., & Yan, J. (2020). The use of smartphone fitness applications: The role of self-efficacy and self-regulation. International Journal of Environmental Research and Public Health, 17(20), 1–16. https://doi.org/10.3390/ijerph17207639

Wijayanti, R. P., Handayani, P. W., & Azzahro, F. (2021). Intention to seek health information on social media in Indonesia. Procedia Computer Science, 197(2021), 118–125. https://doi.org/10.1016/j.procs.2021.12.125

Williams, G., Nardo, F. Di, & Verma, A. (2017). The relationship between self-reported health status and signs of psychological distress within European urban contexts. European Journal of Public Health, 27(April), 68–73. https://doi.org/10.1093/eurpub/ckx008

Wongso, H., & Ramadania. (2021). Pengaruh Self-Efficacy, Perceived Usefulness, Perceived Ease of Use,dan Perceived Risk terhadap Intention to Use Mobile Banking Bank Kalbar. Proceeding Seminar Bisnis, 5, 224–239.

Xie, Z., Liu, K., Or, C., Chen, J., Yan, M., & Wang, H. (2020). An examination of the socio-demographic correlates of patient adherence to self-management behaviors and the mediating roles of health attitudes and self-efficacy among patients with coexisting type 2 diabetes and hypertension. BMC Public Health, 20(1), 1–13. https://doi.org/10.1186/s12889-020-09274-4

Yan, M., Filieri, R., Raguseo, E., & Gorton, M. (n.d.). Paper forthcoming in.

Yee, T. S., Seong, L. C., & Chin, W. S. (2019). Patient’s Intention to Use Mobile Health App. Journal of Management Research, 11(3), 18. https://doi.org/10.5296/jmr.v11i3.14776

Yulandari, A., Satria, A. R., Setyawan, D., & Budiadi, N. A. (2024). Efek Penolakan Perubahan Terhadap Niat Menggunakan Aplikasi Apotek K24klik. Jurnal Bisnis, Manajemen, Dan Ekonomi, 5(1), 22–37. https://doi.org/10.47747/jbme.v5i1.1607

Zhang, X., Raghavan, V., & Yang, X. (2023). Health perceptions and attitudes on mobile health apps in China. Health Informatics Journal, 29(4), 1–17. https://doi.org/10.1177/14604582231207745

Zin, K. S. L. T., Kim, S., Kim, H. S., & Feyissa, I. F. (2023). A Study on Technology Acceptance of Digital Healthcare among Older Korean Adults Using Extended Tam (Extended Technology Acceptance Model). Administrative Sciences, 13(2), 1–18. https://doi.org/10.3390/admsci13020042




DOI: http://dx.doi.org/10.52429/smj.v6i2.1381

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