Technology Acceptance and Complaint-Related Readiness in Mobile JKN: A Systematic Review of Acceptance, Satisfaction, and Feedback Outcomes

Authors

  • Nur Aisyah Syahfitri Master of Hospital Administration, Postgraduate Programme, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia
  • Mahendro Prasetyo Kusumo Master of Hospital Administration, Postgraduate Programme, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia

DOI:

https://doi.org/10.38035/dijemss.v8i1.6774

Keywords:

Mobile JKN, Technology Acceptance Model, Perceived Usefulness, Perceived Ease of Use, Digital Complaint, Patient Feedback, User Satisfaction, Health Insurance Application, Digital Patient Voice

Abstract

This systematic review synthesized empirical evidence on technology acceptance and complaint-related digital readiness in Mobile JKN, Indonesia's national health insurance mobile application. Searches were conducted in Scopus, PubMed, Google Scholar, and Portal Garuda for studies published between 2018 and 2025, following PRISMA 2020. Ten empirical studies were included in the narrative synthesis. Perceived usefulness and perceived ease of use were consistently associated with Mobile JKN acceptance, intention to use, satisfaction, continued intention, and self-reported actual system use. However, none of the included studies directly measured complaint-specific intention or verified complaint submission through Mobile JKN. These findings suggest that technology acceptance may create enabling conditions for digital complaint readiness, but actual complaint behavior also requires trust, perceived responsiveness, privacy assurance, technical reliability, and clear follow-up mechanisms. Future studies should integrate TAM with consumer complaint behavior frameworks and use longitudinal designs, verified application data, and complaint log analysis to validate the pathway from Mobile JKN acceptance to actual digital patient voice behavior.

References

Alexandra, S., Handayani, P. W., & Azzahro, F. (2021). Indonesian hospital telemedicine acceptance model: The influence of user behavior and technological dimensions. Heliyon, 7(12), Article e08599. https://doi.org/10.1016/j.heliyon.2021.e08599

AlQudah, A. A., Al-Emran, M., & Shaalan, K. (2021). Technology acceptance in healthcare: A systematic review. Applied Sciences, 11(22), Article 10537. https://doi.org/10.3390/app112210537

Boylan, A.-M., Turk, A., van Velthoven, M. H., Powell, J., & de Lusignan, S. (2020). Online patient feedback as a measure of quality in primary care: A multimethod study using correlation and qualitative analysis. BMJ Open, 10(2), Article e031820. https://doi.org/10.1136/bmjopen-2019-031820

Damanik, F. S., Widayanti, A. W., & Wiedyaningsih, C. (2024). User acceptance of Mobile-JKN: Insights from the Technology Acceptance Model. Jurnal Administrasi Kesehatan Indonesia, 12(2), 206–217. https://doi.org/10.20473/jaki.v12i2.2024.206-217

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982

Downes, M. J., Brennan, M. L., Williams, H. C., & Dean, R. S. (2016). Development of a critical appraisal tool to assess the quality of cross-sectional studies (AXIS). BMJ Open, 6(12), Article e011458. https://doi.org/10.1136/bmjopen-2016-011458

Febisatria, A., & Liliyan, A. (2024). Analisis persepsi konsumen terhadap penggunaan aplikasi Mobile JKN. Jurnal Ilmiah Ekonomi dan Manajemen, 2(2), 384–394. https://doi.org/10.61722/jiem.v2i2.976

Harsono, H., Sugiharto, S., & Rinayati, R. (2021). Persepsi peserta terhadap aplikasi Mobile JKN berbasis Technology Acceptance Model di Klinik Pratama Surya Medika Semarang. Jurnal Ilmiah Manajemen Kesatuan, 9(2), 191–200. https://doi.org/10.37641/jimkes.v9i2.793

Hirschman, A. O. (1970). Exit, voice, and loyalty: Responses to decline in firms, organizations, and states. Harvard University Press.

Hong, Q. N., Fàbregues, S., Bartlett, G., Boardman, F., Cargo, M., Dagenais, P., Gagnon, M.-P., Griffiths, F., Nicolau, B., O’Cathain, A., Rousseau, M.-C., Vedel, I., & Pluye, P. (2018). Mixed Methods Appraisal Tool (MMAT), version 2018: User guide. McGill University.

Khairunnisa, W., Komara, M. A., & Kurniawan, I. (2023). Analisis penerimaan pengguna aplikasi Mobile JKN pada peserta BPJS Kesehatan di Kabupaten Purwakarta dengan menggunakan metode Combined Technology Acceptance Model and Theory of Planned Behavior (C-TAM-TPB). JATI (Jurnal Mahasiswa Teknik Informatika), 7(3), 1445–1451. https://doi.org/10.36040/jati.v7i3.6997

Kumah, E., Osei-Kesse, F., & Anaba, C. (2017). Understanding and using patient experience feedback to improve health care quality: Systematic review and framework development. Journal of Patient-Centered Research and Reviews, 4(1), 24–31. https://doi.org/10.17294/2330-0698.1416

Kusumo, M. P., & Kusumawati, W. (2022). Barriers to understanding health education in patients with Diabetes Mellitus (DM) in Yogyakarta: Qualitative study. Unnes Journal of Public Health, 11(1), 14–22. https://doi.org/10.15294/ujph.v11i1.43917

Kusumo, M. P., Prabandari, Y. S., & Dewi, F. S. T. (2021). Measuring the knowledge, attitude and practice of patients with Diabetes Mellitus: The design and development process. Community Health Equity Research & Policy, 43(4), 357–365. https://doi.org/10.1177/0272684X211022173

Liliyan, A., Febisatria, A., & Wiguna, S. V. (2024). Pengaruh persepsi kegunaan dan persepsi kemudahan penggunaan pada minat menggunakan aplikasi Mobile JKN. Jurnal Ekonomi, Manajemen, Akuntansi, Bisnis Digital, Ekonomi Kreatif, Entrepreneur (JEBDEKER), 4(2), 461–472. https://doi.org/10.56456/jebdeker.v4i2.279

Meisari, W. A., Widyaningrum, N., & Prameswari, A. (2024). Atensi pengguna Mobile JKN dengan pendekatan model TAM (Technology Acceptance Model). Jurnal Manajemen Informasi dan Administrasi Kesehatan, 7(2). https://doi.org/10.32585/jmiak.v7i2.5695

Moola, S., Munn, Z., Tufanaru, C., Aromataris, E., Sears, K., Sfetcu, R., Currie, M., Qureshi, R., Mattis, P., Lisy, K., & Mu, P.-F. (2020). Chapter 7: Systematic reviews of etiology and risk. In E. Aromataris & Z. Munn (Eds.), JBI manual for evidence synthesis. JBI. https://doi.org/10.46658/JBIMES-20-08

Nikmah, N., Adi, S., Mawarni, D., & Ulfah, N. H. (2024). Hubungan persepsi kebermanfaatan dan persepsi kemudahan terhadap minat penggunaan aplikasi Mobile JKN di wilayah BPJS Kesehatan Kabupaten Nganjuk. Sport Science and Health, 6(3), 293–303. https://doi.org/10.17977/um062v6i32024p293-303

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., ... Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, Article n71. https://doi.org/10.1136/bmj.n71

Patel, S., Cain, R., Neailey, K., & Hooberman, L. (2015). General practitioners’ concerns about online patient feedback: Findings from a descriptive exploratory qualitative study in England. Journal of Medical Internet Research, 17(12), Article e276. https://doi.org/10.2196/jmir.4989

Rahman, T., & Chaniago, T. A. (2025). Analisa penerimaan pengguna terhadap aplikasi Mobile JKN dengan metode TAM untuk pendaftaran online. Techno (Jurnal Fakultas Teknik, Universitas Muhammadiyah Purwokerto), 26(1). https://doi.org/10.30595/techno.v26i1.23942

Reader, T. W., Gillespie, A., & Roberts, J. (2014). Patient complaints in healthcare systems: A systematic review and coding taxonomy. BMJ Quality & Safety, 23(8), 678–689. https://doi.org/10.1136/bmjqs-2013-002437

Singh, J. (1988). Consumer complaint intentions and behavior: Definitional and taxonomical issues. Journal of Marketing, 52(1), 93–107. https://doi.org/10.1177/002224298805200108

Syamsuar, D., & Al Reza, S. (2022). Analysis of user acceptance of the mobile application of National Health Insurance using the Unified Theory of Acceptance and Use of Technology (UTAUT) method. Jurnal TAM (Technology Acceptance Model), 13(2), 106–113. https://jurnal.ftikomibn.ac.id/index.php/JurnalTam/article/view/1246

Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144–176. https://doi.org/10.1287/isre.6.2.144

Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540

Wahyudi, W., Mukhsin, M., & Nupus, H. (2021). Meningkatkan intention to use aplikasi Mobile JKN melalui perceived usefulness dan attitude towards use sebagai variabel intervening: Studi pada pengguna aplikasi Mobile JKN segmen pekerja penerima upah badan usaha di wilayah BPJS Kesehatan Cabang Serang. Jurnal Riset Bisnis dan Manajemen Tirtayasa, 5(1), 98–116. https://doi.org/10.48181/jrbmt.v5i1.11545

Wong, E., Mavondo, F., & Fisher, J. (2020). Patient feedback to improve quality of patient-centred care in public hospitals: A systematic review of the evidence. BMC Health Services Research, 20, Article 530. https://doi.org/10.1186/s12913-020-05383-3

Downloads

Published

2026-10-19

How to Cite

Syahfitri, N. A., & Kusumo , M. P. (2026). Technology Acceptance and Complaint-Related Readiness in Mobile JKN: A Systematic Review of Acceptance, Satisfaction, and Feedback Outcomes. Dinasti International Journal of Education Management and Social Science, 8(1), 499–515. https://doi.org/10.38035/dijemss.v8i1.6774