Acceptance Measurement of Health Insurance Information System Based on Technology Acceptance Model

Siti Nurhayati, Nurul Hidayat

Abstract

The objective of this research is to evaluate P-Care BPJS information system based on Technology Acceptance Model (TAM). The type of research is analytical, cross sectional approach. Number of respondents 206 P-Care BPJS users at primary health care. Data analysis using linear regression. Based on correlation test external variables with percieved usefulness, showed high correlation = 0.6 (p <0.001); external variables with percieved ease of use showed moderate correlation = 0.4 (p <0.001); perceived ease of use with attitude showed moderate correlation = 0.5 (p <0.001); percieved usefulness with attitude showed high correlation = 0.7 (p <0.001); perceived usefulness with actual use showed moderate correlation = 0.5 (p <0.001); behavioral intention to use with percieved usefulness showed moderate correlation = 0.5 (p <0.001); attitude with behavioral intention to use showed high correlation = 0.6 (p <0.001); behavioral intention to use with actual use showed high correlation = 0.7 (p <0.001).

Keywords

p-care, TAM, BPJS

Full Text:

PDF

References

Abramson EL, Patel V, Malhotra S., 2012. Physician Experiences Transitioning Between an Older Versus Newer Electronic Health Record for Electronic Prescribing. Int J Med Inform, 81(8), pp. 539–48.

Aghazadeh S, Aliyev A, Ebrahimnezhad M., 2012. Review the Role of Hospital Information Systems in Medical Services Development. Int J Comput Theory Eng, 4(6), pp. 866.

Aghajari PE, Hassankhani H, Shaykhalipour Z., 2013. Healthcare Information System: The Levels of Computerization. Intl. Res. J. Appl. Basic. Sci, 7 (9), pp. 536–540.

Bloomrosen M, Starren J, Lorenzi NM, Ash JS, Patel VL, Shortliffe EH., 2011. Anticipating and Addressing the Unintended Consequences of Health IT and Policy: A Report from The AMIA 2009 Health Policy Meeting. J Am Med Inform Assoc, 18 (1), pp. 82–90.

Chen RF, and Hsiao JL., 2012. An Investigation on Physicians’ Acceptance of Hospital Information Systems: A Case Study. Int. J. Med. Inform, 81(12), pp. 810–820.

Cresswell K, and Sheikh A., 2013. Organizational Issues in The Implementation and Adoption of Health Information Technology Innovations: An Interpretative Review. International Journal of Medical Informatics, 82, pp. 73-86.

Davis FD., 1989. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, Vol. 13(3), pp. 319 -340.

Ehteshami A., 2017. Barcode Technology Acceptance and Utilization in Health Information Management Department at Academic Hospitals According to Technology Acceptance Model. Acta Informatica Medica, Journal of Academy of Medical Science of Bosnia and Herzegovina. Acta Inform Med, 25 (1), pp. 4-8.

Ekeland AG, Bowes A, Flottorp S., 2010. Effectiveness of Telemedicine: A Systematic Review of Reviews, Int. J. Med. Inform, 79, pp. 736–771.

Fichman RG, Kohli R, Krishnan R., 2011. Editorial Overview-The Role of Information Systems in Healthcare: Current Research and Future Trends. Inform Syst Res, 22 (3), pp. 419–428.

Fontaine P, Ross SE, Zink T, Schilling LM., 2010. Systematic Review of Health Information Exchange in Primary Care Practices. J. Am. Board Fam. Med, 23 (5), pp. 655– 670.

Halbesleben JRB, Wakefield DS, Wakefield BJ., 2008. Work-arounds in Health Care Settings: Literature Review and Research Agenda. Health Care Manage Rev, 33, pp. 2–12.

Holden RJ, & Karsh BT., 2010. The Technology Acceptance Model: Its Past and Its Future in Health Care. J Biomed Inform, 43(1), pp. 159-172.

Hu, P., Chau, P., Sheng, O., Tam, K., 2015. Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology. Journal of Management Information Systems, 16(2), pp. 91-112.

Humaidi, 2014. Aplikasi P-Care Perkuat Layanan JKN. Info BPJS Media Internal Resmi BPJS Kesehatan Edisi X Tahun 2014.

Humaidi, 2016. Pentingnya Dukungan Pemda untuk Mencapai Universal Health Coverage. Info BPJS Media Internal Resmi BPJS Kesehatan Edisi X Tahun 2014.

Kementerian Kesehatan RI., 2013. Peta Jalan Menuju Jaminan Kesehatan Nasional 2012-2019. Dewan Jaminan Sosial Nasional.

Krishnan, A., Nongkynrih, B., Yadav, K., Singh, S., Gupta V., 2010. Evaluation of Computerized Health Management Information System for Primary Health Care in Rural India. BMC Health Services Research, 10, pp. 310.

Maksum U, Baridwan Z, Subekti I., 2017. The Determinant of Acceptance of SIMDA (Information System of District Management) Implementation on the Government of Batu City. Journal of Accounting and Business Education, 1 (2), pp. 298.

Meier CA, Fitzgerald MC, Smith JM., 2013. E-Health: Extending, Enhancing, and Evolving Health Care. Annu Rev Biomed Eng, 15, pp. 359–382.

Mulyati S, Suwarsa O, Arya IFD., 2015. Pengaruh Media Film terhadap Sikap Ibu pada Deteksi Dini Kanker Serviks. Jurnal Kesehatan Masyarakat KEMAS, 11 (1), pp. 16-24.

Nykanen P, Brender J, Talmon J, de Keizer N, Rigby M, Beuscart-Zephir MC, Ammenwerth E., 2011. Guideline for Good Evaluation Practice in Health Informatics (GEP-HI). International Journal of Medical Informatics, 80, pp. 815-827.

Ologeanu-Taddei R, Morquin D, Vitari C., 2016. Perceptions of an Electronic Medical Record (EMR): Lessons from A French Longitudinal Survey. Procedia Computer Science, 100, pp. 574-579.

Patel VL, and Kannampallil T., 2014. Human Factors and Health Information Technology: Current Challenges and Future Directions. Yearb Med Inform, 9(1), pp. 58.

Petter S, DeLone W, McLean E., 2008. Measuring Information Systems Success: Models, Dimensions, Measures, and Interrelationships. European Journal of Information Systems, 17, pp. 236-63.

Rostami S, Sarmad A, Mohammadi M, Cheleie M, Amiri S, Zardoei GSH., 2015. Evaluating Hospital Information Systems from The Point of View of the Medical Records Section Users in Medical-Educational Hospitals of Kermanshah 2014. Journal of Medicine and Life, 8(4), pp. 232-240.

Sugiyono., 2013. Metodologi Penelitian Kuantitatif, Kualitatif, dan R&D. Cetakan Kedua Belas. CV. Bandung : Alfabeta.

Suki NM, and Suki NM., 2011. Exploring The Relationship Between Perceived Usefulness, Perceived Ease of Use, Perceived Enjoyment, Attitude and Subscribers’ Intention Towards Using 3G Mobile Services. Journal of Information Technology Management, 22(1), pp. 1-7.

Tavakoli N, Jahanbakhsh M, Shahin A, Mokhtari H, Rafiei M., 2013. Electronic Medical Record in Central Polyclinic of Isfahan Oil Industry: A Case Study Based on Technology Acceptance Model. Acta Inform Med, 21 (1), pp. 23–25.

Teo T and Zhou M., 2014. Explaining the Intention to Use Technology Among University Students: A Structural Equation Modeling Approach. J Comput High Educ, 26, pp. 124–142.

Vishwanath A, Singh SR, Winkelstein P., 2010. The Impact of Electronic Medical Record Systems on Outpatient Workflows: a Longitudinal Evaluation of Its Workflow Effects. International Journal of Medical informatics, 79, pp. 778-91.

Venkatesh V, Bala H., 2008. Technology Acceptance Model 3 and A Research Agenda on Interventions. Journal Decision Sciences, 39, pp. 273-315.

Wahono BB, Prihatmoko D., 2016. Analisis Faktor-Faktor yang Mempengaruhi Penerimaan dalam Menggunakan Sistem Informasi BPJS Di Kabupaten Jepara. Jurnal Maklumatika, 3(1).

Refbacks

  • There are currently no refbacks.