Unpacking the influencing factors of telehealth usage among older consumers

References

• Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
   Google Scholar
• Charness, N., Best, R. K., Boot, W. R., & Evans, J. S. (2015). Are there age differences in aesthetics and comfort preferences for telehealth devices? The Gerontologist, 55(Suppl_2), 766–766. https://doi.org/10.1093/geront/gnv402.03
   Google Scholar
• 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
   Web of Science ®Google Scholar
• Demiris, G., Thompson, H., Boquet, J., Le, T., Chaudhuri, S., & Chung, J. (2013). Older adults’ acceptance of a community-based telehealth wellness system. Informatics for Health & Social Care, 38(1), 27–36. https://doi.org/10.3109/17538157.2011.647938
   PubMed Web of Science ®Google Scholar
• Dorsey, E. R., & Topol, E. J. (2016). State of telehealth. The New England Journal of Medicine, 375(2), 154–161. https://doi.org/10.1056/nejmra1601705
   PubMed Web of Science ®Google Scholar
• Egan, R. P., Hurley, D. B., Goetz, M. C., Smith, C. S., Palmer, B. A., & St Hill, C. A. (2022). Disparities in mental health access before and after transitioning to telehealth. Journal of Rural Mental Health, 46(4), 271–276. https://doi.org/10.1037/rmh0000214
   Google Scholar
• Fisk, A. D., Rogers, W. A., Charness, N., Czaja, S. J., & Sharit, J. (2009). Designing for older adults: Principles and creative human factors approaches (2nd ed.). CRC Press. https://doi.org/10.1201/9781420080681
   Google Scholar
• Go Jefferies, J., Bishop, S., & Hibbert, S. (2019). Customer boundary work to navigate institutional arrangements around service interactions: Exploring the case of telehealth. Journal of Business Research, 105, 420–433. https://doi.org/10.1016/j.jbusres.2019.03.052
   Web of Science ®Google Scholar
• Green, T., Hartley, N., & Gillespie, N. (2016). Service provider’s experiences of service separation. Journal of Service Research, 19(4), 477–494. https://doi.org/10.1177/1094670516666674
   Web of Science ®Google Scholar
• Ikram, U., Gallani, S., Figueroa, J. F., & Feeley, T. W. (2020, November 24). Strategies to make telehealth work for elderly patients. Harvard Business Review.
   Google Scholar
• Jelicic, M., & Kempen, G. I. J. M. (1999). Effect of self-rated health on cognitive performance in community dwelling elderly. Educational Gerontology, 25(1), 13–17. https://doi.org/10.1080/036012799267981
   Web of Science ®Google Scholar
• Johnson, E. K. (2023). Telemedicine and direct to consumer advertising attitudes and the future of telehealth: Women report telemedicine as a comfortable option for accessing birth control. Health Marketing Quarterly, 40(3), 309–325. https://doi.org/10.1080/07359683.2022.2092377
   PubMedGoogle Scholar
• Kim, H.-W., & Kankanhalli, A. (2009), Investigating user resistance to information systems implementation: A status quo bias perspective, MIS Quarterly, 33 (3), 567–582. https://doi.org/10.2307/20650309
   Web of Science ®Google Scholar
• Kruse, C., Fohn, J., Wilson, N., Nunez Patlan, E., Zipp, S., & Mileski, M. (2020). Utilization barriers and medical outcomes commensurate with the use of telehealth among older adults: Systematic review. JMIR Medical Informatics, 8(8), e20359. https://doi.org/10.2196/20359
   PubMed Web of Science ®Google Scholar
• Lee, E., Lee, J., & Eastwood, D. (2003). A two‐step estimation of consumer adoption of technology‐based service innovations. Journal of Consumer Affairs, 37(2), 256–282. https://doi.org/10.1111/j.1745-6606.2003.tb00453.x
   Web of Science ®Google Scholar
• Parkinson, J. (2022). Editorial. Health Marketing Quarterly, 39(3), 211–212. https://doi.org/10.1080/07359683.2022.2114579
   PubMedGoogle Scholar
• Parkinson, J., & Davey, J. (2023). The importance of health marketing and a research agenda. Health Marketing Quarterly, 40(4), 347–351. https://doi.org/10.1080/07359683.2024.2271780
   PubMedGoogle Scholar
• Pierce, R. P., & Stevermer, J. J. (2023). Disparities in the use of telehealth at the onset of the COVID-19 public health emergency. Journal of Telemedicine and Telecare, 29(1), 3–9. https://doi.org/10.1177/1357633x20963893
   PubMedGoogle Scholar
• Rogers, W. A., Mitzner, T. L., Boot, W. R., Charness, N., Czaja, S. J., & Sharit, J. (2017). Understanding individual and age-related differences in technology adoption. Innovation in Aging, 1(suppl_1), 1026–1026. https://doi.org/10.1093/geroni/igx004.3733
   Google Scholar
• Salisbury, W. D., Pearson, R. A., Pearson, A. W., & Miller, D. W. (2001). Perceived security and World Wide Web purchase intention. Industrial Management & Data Systems, 101(4), 165–177. https://doi.org/10.1108/02635570110390071
   Web of Science ®Google Scholar
• Sanders, J. H., & Bashshur, R. L. (1995). Challenges to the implementation of telemedicine. Telemedicine Journal, 1(2), 115–123. https://doi.org/10.1089/tmj.1.1995.1.115
   PubMedGoogle Scholar
• Schmitz, A., Díaz-Martín, A. M., & Jesús Yagüe Guillén, M. (2022). Modifying UTAUT2 for a cross-country comparison of telemedicine adoption. Computers in Human Behavior, 130, 107183. https://doi.org/10.1016/j.chb.2022.107183
   PubMed Web of Science ®Google Scholar
• Scott Kruse, C., Karem, P., Shifflett, K., Vegi, L., Ravi, K., & Brooks, M. (2018). Evaluating barriers to adopting telemedicine worldwide: A systematic review. Journal of Telemedicine and Telecare, 24(1), 4–12. https://doi.org/10.1177/1357633x16674087
   PubMed Web of Science ®Google Scholar
• Shahid, Z., Kalayanamitra, R., McClafferty, B., Kepko, D., Ramgobin, D., Patel, R., Aggarwal, C. S., Vunnam, R., Sahu, N., Bhatt, D., Jones, K., Golamari, R., & Jain, R. (2020). COVID‐19 and older adults: What we know. Journal of the American Geriatrics Society, 68(5), 926–929. https://doi.org/10.1111/jgs.16472
   PubMed Web of Science ®Google Scholar
• Shen, N., Bernier, T., Sequeira, L., Strauss, J., Silver, M. P., Carter-Langford, A., & Wiljer, D. (2019). Understanding the patient privacy perspective on health information exchange: A systematic review. International Journal of Medical Informatics, 125, 1–12. https://doi.org/10.1016/j.ijmedinf.2019.01.014
   PubMed Web of Science ®Google Scholar
• Sheng, X., & Simpson, P. M. (2015). Health care information seeking and seniors: Determinants of internet use. Health Marketing Quarterly, 32(1), 96–112. https://doi.org/10.1080/07359683.2015.1000758
   PubMedGoogle Scholar
• Sintonen, S., & Immonen, M. (2013). Telecare services for aging people: Assessment of critical factors influencing the adoption intention. Computers in Human Behavior, 29(4), 1307–1317. https://doi.org/10.1016/j.chb.2013.01.037
   Web of Science ®Google Scholar
• Sklar, T., & Robertson, C. T. (2020). Telehealth for an aging population: How can law influence adoption among providers, payors, and patients? American Journal of Law & Medicine, 46(2–3), 311–324. https://doi.org/10.1177/0098858820933501
   PubMed Web of Science ®Google Scholar
• Snoswell, C. L., Chelberg, G., De Guzman, K. R., Haydon, H. H., Thomas, E. E., Caffery, L. J., & Smith, A. C. (2023). The clinical effectiveness of telehealth: A systematic review of meta-analyses from 2010 to 2019. Journal of Telemedicine and Telecare, 29(9), 669–684. https://doi.org/10.1177/1357633x211022907
   PubMed Web of Science ®Google Scholar
• Spiggle, S. (1994). Analysis and interpretation of qualitative data in consumer research. Journal of Consumer Research, 21(3), 491–503. https://doi.org/10.1086/209413
   Web of Science ®Google Scholar
• Tsai, J.-M., Cheng, M.-J., Tsai, H.-H., Hung, S.-W., & Chen, Y.-L. (2019). Acceptance and resistance of telehealth: The perspective of dual-factor concepts in technology adoption. International Journal of Information Management, 49, 34–44. https://doi.org/10.1016/j.ijinfomgt.2019.03.003
   Web of Science ®Google Scholar
• Turner, J. W., Thomas, R. J., & Gailiun, M. (2001). Consumer response to virtual service organisations: The case of telemedicine. Journal of Medical Marketing, 1(4), 309–318. https://doi.org/10.1057/palgrave.jmm.5040042
   Google Scholar
• Vahabi, M. (2007). The impact of health communication on health‐related decision making. Health Education, 107(1), 27–41. https://doi.org/10.1108/09654280710716860
   Google Scholar
• 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
   Web of Science ®Google Scholar
• Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412
   Web of Science ®Google Scholar
• Weldon, A. L., & Hagemann, L. (2022). Telehealth use and COVID-19: Assessing older veterans’ perspectives. Psychological Services, ISSN: 1541-1559, 1-10. https://doi.org/10.1037/ser0000697
   PubMed Web of Science ®Google Scholar
• Zhao, Y., Ni, Q., & Zhou, R. (2018). What factors influence the mobile health service adoption? A meta-analysis and the moderating role of age. International Journal of Information Management, 43, 342–350. https://doi.org/10.1016/j.ijinfomgt.2017.08.006
   Web of Science ®Google Scholar
• Zhou, M., Zhao, L., Kong, N., Campy, K. S., Qu, S., & Wang, S. (2019). Factors influencing behavior intentions to telehealth by Chinese elderly: An extended TAM model. International Journal of Medical Informatics, 126, 118–127. https://doi.org/10.1016/j.ijmedinf.2019.04.001
   PubMed Web of Science ®Google Scholar