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Effects of Healthcare Service User's Compliance Intention on Continuous usage

헬스케어 서비스 사용자 순응의도가 서비스의 지속적 사용에 미치는 영향 연구

  • Received : 2016.11.02
  • Accepted : 2016.11.26
  • Published : 2016.11.30
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Abstract

Entering aging society and increasing individual's interests on wellbeing lead to increasing demands of healthcare service and various healthcare related applications are providedon app market or Internet. These healthcare services could enhance user's health status if the users continuously use the service. In order to enhance effectiveness of a healthcare service, the service user should comply with recommendations or directions are provided by the service. However, previous studies of healthcare service are not considered effects of compliance intention on continuous usage. Hence, we tested how user's compliance intention effect on continuous usage intention of healthcare service based on theories of information system and medical information. Moreover, we found that compliance intention of users for healthcare service is an important factor on sustainability of healthcare service. Additionally, we investigated what factors are related with user's compliance intention.

최근 인구의 고령화 추세 및 웰빙에 대한 관심 증가는 헬스케어 서비스에 대한 수요의 증가로 이어지고 있다. 이러한 헬스케어 서비스는 지속적으로 사용자들이 해당 서비스를 이용하여 실제 건강을 증진시킬 수 있도록 돕는 것이 목적이다. 따라서 헬스케어 서비스의 효과성을 보다 증진시키기 위해서는 사용자가 헬스케어 서비스를 통해 추천되는 콘텐츠들에 대해 적극적으로 순응하고자 하는 의도를 가지고 행동을 취해야 한다. 하지만 기존의 헬스케어서비스에 관한 연구들은 순응의 서비스에 대한 지속사용의도에 대한 영향력을 살펴보는 연구들은 거의 없었다. 따라서 본 연구에서는 헬스케어 서비스의 지속적 사용의도에 사용자의 순응의도가 어떠한 영향을 미치지는 지를 기존의 의료정보학 및 정보시스템 분야의 이론을 기반으로 실증 검증하고자 한다. 이를 위해서 본 연구에서는 헬스케어 서비스에 대한 사용자의 순응의도(compliance intention)를 중심으로 지속사용의도에 영향을 미치는 요인을 검증하기 위한 모델을 제안하였고, 순응의도는 지속사용의도에 긍정적인 영향을 미치는 주요한 변수임을 확인하였다. 또한 순응의도를 높이는 변수들에 대해서도 검증하였다.

Keywords

References

  1. Ahadzadeh, A. S., Ong, F. S., and Khong, K. W., "Integrating health belief model and technology acceptance model: an investigation of health-related internet use," Journal of Medical Internet Research, Vol. 17, No. 2, pp. 45-45, 2014. https://doi.org/10.2196/jmir.3564
  2. Alaiad, A. and Zhou, L., "The determinants of home healthcare robots adoption: An empirical investigation," International Journal of Medical Informatics, Vol, 83, pp. 825-840, 2014. https://doi.org/10.1016/j.ijmedinf.2014.07.003
  3. Bagozzi, R. P. and Yi, Y., "On the Evaluation of Structural Equation Models," Journal of the Academy of Marketing Science, Vol. 16, pp. 74-94, 1988. https://doi.org/10.1007/BF02723327
  4. Baker, L. C., "Managed care and technology adoption in health care: evidence from magnetic resonance imaging," Journal of Health Economics, Vol. 20, No. 3, pp. 395-421, 2001. https://doi.org/10.1016/S0167-6296(01)00072-8
  5. Becker, M. H. and Maiman, L. A., "Sociobehavioral determinants of compliance with health and medical care recommendations," Medical Care, Vol. 13, No. 1, pp. 10-24, 1975. https://doi.org/10.1097/00005650-197501000-00002
  6. Bhattacherjee, A. and Hikmet, N., "Physicians' resistance toward healthcare information technology: A theoretical model and empirical test," European Journal of Information Systems, Vol. 16, No. 6, pp. 725-737, 2007. https://doi.org/10.1057/palgrave.ejis.3000717
  7. Bhattacherjee, A., "Understanding Information Systems Continuance: An Expectation-Confirmation Model," MIS Quarterly, Vol. 25, pp. 351-371, 2001. https://doi.org/10.2307/3250921
  8. Bischoff, W. E., Reynolds, T. M., Sessler, C. N., Edmond, M. B., and Wenzel, R. P., "Handwashing compliance by health care workers: The impact of introducing an accessible, alcohol-based hand antiseptic," Archives of Internal Medicine, Vol. 160, No. 7, pp. 1017-1021, 2000. https://doi.org/10.1001/archinte.160.7.1017
  9. Blumenthal, D., "Stimulating the adoption of health information technology," New England Journal of Medicine, Vol. 360, No. 15, pp. 1477-1479, 2009. https://doi.org/10.1056/NEJMp0901592
  10. Boehlefeld, S., "Doing the right thing: Ethical cyber research," The Information Society, Vol. 12, No. 2, pp. 141-52, 1996. https://doi.org/10.1080/713856136
  11. Bouwman, H., Carlsson, C., Molina-Castillo, F. J., and Walden, P., "Barriers and drivers in the adoption of current and future mobile services in Finland," Telematics and Informatics, Vol. 24, No. 2, pp. 145-160, 2007. https://doi.org/10.1016/j.tele.2006.08.001
  12. Bowman, D., Heilman, C. M., and Seetharaman, P. B., "Determinants of product-use compliance behavior," Journal of Marketing Research, Vol. 41, No. 3, pp. 324-338, 2004. https://doi.org/10.1509/jmkr.41.3.324.35987
  13. Brannon, L., Feist, J., and Updegraff, J., Health psychology: An introduction to behavior and health, Cengage Learning, 2013.
  14. Burke, D. E., Wang, B. B. L., Wan, T. T., and Diana, M. L., "Exploring hospitals' adoption of information technology," Journal of Medical Systems, Vol. 26, No. 4, pp. 349-355, 2002. https://doi.org/10.1023/A:1015872805768
  15. Busch, P. and Wilson, D. T., "An experimental analysis of a salesman's expert and referent bases of social power in the buyer-seller dyad," Journal of Marketing Research, Vol. 13, No. 2, pp. 3-11, 1976. https://doi.org/10.2307/3150896
  16. Cameron, C., "Patient compliance: recognition of factors involved and suggestions for promoting compliance with therapeutic regimens," Journal of Advanced Nursing, Vol. 24, No. 2, pp. 244-250, 1996. https://doi.org/10.1046/j.1365-2648.1996.01993.x
  17. Chang, M. Y., Pang, C., Tarn, J. M., Liu, T. S., and Yen, D. C., "Exploring user acceptance of an e-hospital service: An empirical study in Taiwan," Computer Standards & Interfaces, Vol. 38, pp. 35-43, 2015. https://doi.org/10.1016/j.csi.2014.08.004
  18. Chau, P. Y. and Hu, P. J. H., "Investigating healthcare professionals' decisions to accept telemedicine technology: An empirical test of competing theories," Information & management, Vol. 39, No. 4, pp. 297-311, 2002. https://doi.org/10.1016/S0378-7206(01)00098-2
  19. Conner, M. and Sparks, P., The theory of planned behavior and health behaviors. In M. Conner, & P. Norman (Eds.). Predicting health behavior: Research and practice with social cognition models (pp. 121-162). Buckingham: Open University Press, 1995.
  20. Daft, R. L. and Lengel, R. H., "Organizational information requirements, media richness and structural design," Management Science, Vol. 32, No. 5, pp. 554-571, 1986. https://doi.org/10.1287/mnsc.32.5.554
  21. Davis, F. D., "Perceived usefulness, perceived ease of use, and user acceptance of information technology," MIS Quarterly, Vol. 13, No. 3, pp. 319-333, 1989. https://doi.org/10.2307/249008
  22. Dellande, S., Gilly, M. C., and Graham, J. L., "Gaining compliance and losing weight: The role of the service provider in health care services," Journal of Marketing, Vol. 68, No. 3, pp. 78-91, 2004. https://doi.org/10.1509/jmkg.68.3.78.34764
  23. Dischler, J., Wagner, D. J., Raia, J. J., and Palmer-Shevlin, N., Medication compliance: A healthcare problem. Harvey Whitney Books Company, 1993.
  24. Eraut, M., "Expert and expertise: meanings and perspectives," Learning in Health and Social Care, Vol. 4, No. 4, pp. 173-179, 2005. https://doi.org/10.1111/j.1473-6861.2005.00102.x
  25. Featherman, M. S., Miyazaki, A. D., and Sprott, D. E., "Reducing online privacy risk to facilitate e-service adoption: The influence of perceived ease of use and corporate credibility," Journal of Services Marketing, Vol. 24, No. 3, pp. 219-229, 2010. https://doi.org/10.1108/08876041011040622
  26. Flury.com, "Health and Fitnes Aps Finaly Take Of, Fueled by Fitnes Fanatics," 2014. 6. 19. htp:/www.flury.com/blog/flury-insights/health-and-fitnes-aps-finaly-take-fueled-fitnes-fanatics.
  27. French, J. P. and Raven, B., "The bases of social power," Studies in Social Power, pp. 150-167, 1959.
  28. Fulk, J., "Social construction of communication technology," Academy of Management Journal, Vol. 36, No. 5, pp. 921-950, 1993. https://doi.org/10.2307/256641
  29. Gross, H. M., Mueller, S., Schroeter, C., Volkhardt, M., Scheidig, A., Debes, K., Richterm K., and Doering, N., "Robot companion for domestic health assistance: Implementation, test and case study under everyday conditions in private apartments," In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 5592-5999, 2015.
  30. Hausman, A., "Modeling the patientphysician service encounter: improving patient outcomes," Journal of the Academy of Marketing Science, Vol. 32 No. 4, pp. 403-417, 2004. https://doi.org/10.1177/0092070304265627
  31. Haynes, R. B., Heather, P. M., and Amit, X. G., "Helping Patients Follow Prescribed Treatment: Clinical Applications," Journal of the American Medical Association, Vol. 288 (December 11), pp. 2880-2883, 2002. https://doi.org/10.1001/jama.288.22.2880
  32. Haynes, R., Taylor, D., and Sackett, D., Compliance in healthcare, Baltimore: John Hopkins University Press, 1979.
  33. Herath, T. and Rao, H. R., "Encouraging information security behaviors in organizations: Role of penalties, pressures and perceived effectiveness," Decision Support Systems, Vol. 47, No. 2, pp. 154-165, 2009. https://doi.org/10.1016/j.dss.2009.02.005
  34. Horwitz, R. I. and Horwitz, S, M., "Adherence to treatment and health outcomes," Archives of International Medicine, Vol. 153, No. 16, pp. 1863-1868, 1993. https://doi.org/10.1001/archinte.1993.00410160017001
  35. Hovland, C. I., Janis, I. I. L., and Kelley, H. H., Communication of Persuasion. New Haven, Conn.; Yale University Press, 1953.
  36. Hsieh, H. L. and Tsai, C. H., "An Empirical Study to Explore the Adoption of Telehealth: Health Belief Model Perspective," Journal of Engineering Science and Technology Review, Vol. 6, No. 2, pp. 1-5, 2013.
  37. Hsieh, J. J. and Wang, W., "Explaining employees' extended use of complex information systems," European Journal of Information Systems, Vol. 16, pp. 216-227, 2007. https://doi.org/10.1057/palgrave.ejis.3000663
  38. Hu, P. J. H., Chau, P. Y., and Sheng, O. R. L., "Adoption of telemedicine technology by health care organizations: An exploratory study," Journal of Organizational Computing and Electronic Commerce, Vol. 12, No. 3, pp. 197-221, 2002. https://doi.org/10.1207/S15327744JOCE1203_01
  39. Jahng, J., Jain, H. K., and Ramamurthy, K., "An empirical study of the impact of product characteristics and electronic commerce interface richness on consumer attitude and purchase intentions," IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, Vol. 36, No. 6, pp. 1185-1201, 2006. https://doi.org/10.1109/TSMCA.2006.878977
  40. Jasperson, J., Carter, P. E., and Zmud, R. W., "A comprehensive conceptualization of post-adoptive behaviors associated with information technology enabled work systems," MIS Quarterly, Vol. 29, No. 3, pp. 525-557, 2005. https://doi.org/10.2307/25148694
  41. Jen-Hwa Hu, P., Chau, P. Y., and Sheng, O. R. L., "Investigation of factors affecting healthcare organization's adoption of telemedicine technology," In Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, pp. 1-10, 2000.
  42. Jerant, A. F., Friederichs-Fitzwater, M. M. V. and Moore, M., "Patients' perceived barriers to active self-management of chronic conditions," Patient education and counseling, Vol. 57, No. 3, pp. 300-307, 2005. https://doi.org/10.1016/j.pec.2004.08.004
  43. Johnson, P. E., Veazie, P. J., Kochevar, L., O'Connor, P. J., Potthoff, S. J., Verma, D., and Dutta, P., "Understanding variation in chronic disease outcomes," Health Care Management Science, Vol. 5, No. 3, pp. 175-189, 2002. https://doi.org/10.1023/A:1019740401536
  44. Jun, C. J., Lee, J. H. and Jeon, I. S., "Research about Factor Affecting the Continuous Use of Cloud Storage Service: User Factor, System Factor, Psychological Switching Cost Factor," Journal of the Society for e-Business Studies, Vol. 19, pp. 15-42, 2014. https://doi.org/10.7838/jsebs.2014.19.1.015
  45. Karahanna, E. and Limayem, M., "E-mail and v-mail usage: General- izing across technologies," Journal of Organizational Computing and Electronic Commerce, Vol. 10, No. 1, pp. 49-66, 2000. https://doi.org/10.1207/S15327744JOCE100103
  46. Kijsanayotin, B., Pannarunothai, S. and Speedie, S. M., "Factors influencing health information technology adoption in Thailand's community health centers: Applying the UTAUT model," International Journal of Medical Informatics, Vol. 78, No. 6, pp. 404-416, 2009. https://doi.org/10.1016/j.ijmedinf.2008.12.005
  47. Kyngas, H., "The theoretical model of compliance of young diabetics," Journal of Clinical Nursing, Vol. 8, pp. 73-80, 1999. https://doi.org/10.1046/j.1365-2702.1999.00213.x
  48. Lee, C. P. and Shim, J. P., "An exploratory study of radio frequency identification (RFID) adoption in the healthcare industry," European Journal of Information Systems, Vol. 16, No. 6, pp. 712-724, 2007. https://doi.org/10.1057/palgrave.ejis.3000716
  49. Lee, J. and Rho, M. J., "Perception of influencing factors on acceptance of mobile health monitoring service: A comparison between users and non-users," Healthcare Informatics Research, Vol. 19, No. 3, pp. 167-176, 2013. https://doi.org/10.4258/hir.2013.19.3.167
  50. Leventhal, H., Finding and theory in the study of fear communications. In L. Berkowitz (Ed.), Advances in Experimental Social Psychology 5, New York: Academic Press, 1970.
  51. Liao, C., Chen, J. L., and Yen, D. C., "Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: An integrated model," Computers in Human Behavior, Vol. 23, No. 6, pp. 2804-2822, 2007. https://doi.org/10.1016/j.chb.2006.05.006
  52. Lim, K. H. and Benbasat, I., "The effect of multimedia on perceived equivocality and perceived usefulness of information systems," MIS Quarterly, Vol. 24, No. 3, pp. 449-471, 2000. https://doi.org/10.2307/3250969
  53. Lin, S. P., "Determinants of adoption of mobile healthcare service," International Journal of Mobile Communications, Vol. 9, No. 3, pp. 298-315, 2011. https://doi.org/10.1504/IJMC.2011.040608
  54. McCombs, J. S., Thiebaud, P., McLaughlin-Miley, C., and Shi, J., "Compliance with drug therapies for the treatment and prevention of osteoporosis," Maturitas, Vol. 48, No. 3, pp. 271-287, 2004. https://doi.org/10.1016/j.maturitas.2004.02.005
  55. Middleton, B., Hammond, W. E., Brennan, P. F., and Cooper, G. F., "Accelerating US EHR adoption: How to get there from here, Recommendations based on the 2004 ACMI retreat," Journal of the American Medical Informatics Association, Vol. 12, No. 1, pp. 13-19, 2005. https://doi.org/10.1197/jamia.M1669
  56. Nunnally, J. C. and Bernstein, I. H., Psychometric Theory (3rd edn). New York: McGraw-Hill, 1994.
  57. Okamura, A. M., Mataric, M. J., and Christensen, H. I., "Medical and healthcare robotics," Robotics and Automation Magazine, Vol. 17, No. 3, pp. 26-27, 2010.
  58. Perrault, E. K. and Silk, K. J., "Testing the Effects of the Addition of Videos to a Website Promoting Environmental Breast Cancer Risk Reduction Practices: Are Videos Worth It?," Journal of Applied Communication Research, Vol. 42, No. 1, pp. 20-40, 2014. https://doi.org/10.1080/00909882.2013.854400
  59. Rice, R. E., "Task analyzability, use of new media, and effectiveness: A multi-site exploration of media richness," Journal of Organizational Science, Vol. 3, No. 4, pp. 475-500, 1992. https://doi.org/10.1287/orsc.3.4.475
  60. Schmitz, J. and Fulk, J., "Organizational colleagues, information richness, and electronic mail: A test of the social influence model of technology use," Journal of Communications Research, Vol. 18, No. 4, pp. 487-523, 1991. https://doi.org/10.1177/009365091018004003
  61. Simons, H., Nancy, B., and Moyer, R., "Similarity, Credibility, and Attitude Change: A Review and Theory," Psychological Bulletin, Vol. 73(January), pp. 1-16, 1970. https://doi.org/10.1037/h0028429
  62. Timmerman, C. E. and Kruepke, K. A. "Computer-Assisted Instruction, Media Richness, and College Student Performance," Communication Education, Vol. 55, No. 1, pp. 73-104, 2006. https://doi.org/10.1080/03634520500489666
  63. Venkatesh, V. and Davis, F. D., "AModel of the Antecedents of Perceived Ease of Use: Development and Test," Decision Sciences, Vol. 27, No. 3, pp. 451-481, 1996. https://doi.org/10.1111/j.1540-5915.1996.tb01822.x
  64. Venkatesh, V., "Creation of Favorable User Perceptions: Exploring the Role of Intrinsic Motivation," MIS Quarterly, Vol. 23, No. 2, pp. 239-260, 1999. https://doi.org/10.2307/249753
  65. Wu, I. L., Li, J. Y., and Fu, C. Y., "The adoption of mobile healthcare by hospital's professionals: an integrative perspective," Decision Support Systems, Vol. 51, No. 3, pp. 587-596, 2011. https://doi.org/10.1016/j.dss.2011.03.003
  66. Xue, Y., Liang, H., and Wu, L., "Punishment, justice, and compliance in mandatory IT settings," Information Systems Research, Vol. 22, No. 2, pp. 400-414, 2011. https://doi.org/10.1287/isre.1090.0266
  67. Yoo, H. S., Kim, M. Y. and Kwon, O. B., "A Study of Factors Influencing Ubiquitous Computing Service Acceptance," Journal of the Society for e-Business Studies, Vol. 13, pp. 117-147, 2008.
  68. Zhang, Q., "Teacher Request Politeness: Effects on Student Positive Emotions and Compliance Intention," Human Communication, Vol. 14, No. 4, pp. 347-356, 2011.
  69. Zmud, R. W., Lind, M. R., and Young, F. W., "An attribute space for organizational communication channels," Journal of Information Systems Research, Vol. 1, No. 4, pp. 440-457, 1990. https://doi.org/10.1287/isre.1.4.440

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