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The Behavioral Intention of Healthcare Professionals to Accept Remote Care Technologies: 20 Years of Scientific Production

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Digital Technologies and Applications (ICDTA 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 455))

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Abstract

With the spread of COVID-19 throughout the world, remote care technologies have played an important role in addressing pressure on health systems worldwide, strategies that aim to promote the use of these tools often focus on the technological dimension and neglect other important dimensions for successful implementation. One of the documented dimensions for successful integration of these tools into clinical practice is acceptance by health care professionals.

Two models are used mainly to identify acceptance factors: TAM and UTAUT, based on a literature search on three databases PubMed, Scopus, and Web of Science, we have identified all studies that have used the original or a modified version of these two models to study the factors of acceptance of remote care technologies by health professionals, this article presents a summary of 20 years of scientific production in this area and identifies the factors that have been validated by the different researchers and that have influenced the behavior of health professionals to accept remote care technologies.

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References

  1. Calton, B., Abedini, N., Fratkin, M.: Telemedicine in the time of coronavirus. J. Pain Symptom Manage. 60(1), e12–e14 (2020)

    Article  Google Scholar 

  2. Notification of the enforcement discretion for remote health communications during the COVID-19 Nationwide Public Health EmergencyURL: https://www.hhs.gov/hipaa/for-professionals/special-topics/emergency-preparedness/notification-enforcement-discretion-telehealth/index.html. Accessed 09 Oct 2021

  3. WHO guideline Recommendations on Digital Interventions for Health System Strengthening. https://www.ncbi.nlm.nih.gov/books/NBK541905/#ch1.s2. Accessed 09 Oct 2021

  4. Mahmood, S., Hasan, K., Colder Carras, M., Labrique, A.: Global preparedness against COVID-19: we must leverage the power of digital health. JMIR Public Health Surveill. 6(2), e18980 (2020). https://doi.org/10.2196/18980

  5. Cilliers, L., Flowerday, S.: User acceptance of telemedicine by health care workers a case of the eastern Cape Province, South Africa. Electron. J. Inf. Syst. Dev. Count. 65(5), 1–10 (2014)

    Google Scholar 

  6. Dünnebeila, S., Sunyaevb, A., Ivo, B., Jan, M.L., Helmut, K.: Determinants of physicians’ technology acceptance for e-health in ambulatory care. Int. J. Med. Inform. 81, 746–760 (2012)

    Article  Google Scholar 

  7. Rho, M.J., Choi, I.Y., Lee, J.: Predictive factors of telemedicine service acceptance and behavioral intention of physicians. Int. J. Med. Inform. 83(8), 559–571 (2014)

    Article  Google Scholar 

  8. Croteau, A.M., Vieru, D.: Telemedicine adoption by different groups of physicians. In: Proceedings of the 35th Hawaii International Conference on System Sciences, HICSS, vol. 6, p. 151 (2002)

    Google Scholar 

  9. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–339 (1989)

    Google Scholar 

  10. Venkatesh, V., Davis, F.D.: A theoretical extension of the Technology Acceptance Model. Manag. Sci. 46(2), 169–332 (2000)

    Google Scholar 

  11. Venkatech, V., Bala, H.: Technology Acceptance Model 3 and a research agenda on interventions. Decis. Sci. 39(2), 273–315 (2008)

    Article  Google Scholar 

  12. Venkatesh, V., et al.: User acceptance of information technology: toward a unified view. MIS Q. 27, 425–478 (2003)

    Google Scholar 

  13. Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50, 179–211 (1991)

    Article  Google Scholar 

  14. Fishbein, M., Azjen, I.: Belief, Attitude, Intentions, and Behavior: An Introduction to Theory and Research. Addison-Wesley, Reading (1975)

    Google Scholar 

  15. Davis, F.D., Bagozzi, R.P.: Extrinsic and intrinsic motivation to use computers in the workplace. J. Appl. Soc. Psychol. 22(14), 1111–1132 (1992)

    Article  Google Scholar 

  16. Rogers, E.M.: Diffusion of Innovation. Free Press, New York (1995)

    Google Scholar 

  17. Bandura, A.: Social Foundations of Thought and Action: A Social Cognitive Theory. Prentice-Hall, Englewood Cliffs (1986)

    Google Scholar 

  18. Thompson, R.L., Higgins, C.A., Howell, J.M.: Influence of experience on personal computer utilization: Testing a conceptual model. J. Manag. Inf. Syst. 11(1), 167–187 (1994)

    Article  Google Scholar 

  19. McKee, G.B., Pierce, B.S., Donovan, E.K., Perrin, P.B.: Examining models of psychologists’ telepsychology use during the COVID-19 pandemic: a national cross-sectional study. J. Clin. Psychol. 77(10) (2021)

    Google Scholar 

  20. Chau, P.Y.K., Hu, P.J.-H.: Investigating healthcare professionals’ decisions to accept telemedicine technology: an empirical test of competing theories. Inf. Manag. 39, 297–311 (2002)

    Google Scholar 

  21. Kim, J., DelliFraine, J.L., Dansky, K.H., McCleary, K.J.: Physicians’ acceptance of telemedicine technology: an empirical test of competing theories. Int. J. Inf. Syst. Change Manag. 4(3), 210–225 (2010)

    Google Scholar 

  22. Monthuy-Blanc, J., Bouchard, S., Maïano, C., Séguin, M.: Factors influencing mental health providers’ intention to use telepsychotherapy in First Nations communities. Transcult. Psychiatry 50(2), 323–343 (2013)

    Article  Google Scholar 

  23. Monthuy-Blanc, J., Bouchard, S., Maïano, C., Seguin, M.: Factors influencing mental health providers’ intention to use telepsychotherapy in First Nations communities. Transcult. Psychiatry 50 (2013). https://doi.org/10.1177/1363461513487665

  24. Bunnell, B.E., Barrera, J.F., Paige, S.R., Turner, D., Welch, B.M.: Acceptability of telemedicine features to promote its uptake in practice: a survey of community telemental health providers. Int. J. Environ. Res. Public Health 17(22), 8525 (2020)

    Article  Google Scholar 

  25. Segrelles-Calvo, G., López-Padilla, D., Chiner, E., Fernández-Fabrellas, E., de Granda-Orive, J.I.: Acceptance of telemedicine among respiratory healthcare professionals. European Research in Telemedicine. La RechercheEuropéenne en Télémédecine 6 (2017). https://doi.org/10.1016/j.eurtel.2017.10.002

  26. Garavand, A., Samadbeik, M., Nadri, H., Rahimi, B., Asadi, H.: Effective factors in adoption of mobile health applications between medical sciences students using the UTAUT model. Methods Inf. Med. 58(4–05), 131–139 (2019)

    Google Scholar 

  27. Ndayizigamiye, P., Maharaj, M.: Mobile health adoption in Burundi: a UTAUT perspective. In: 2016 IEEE Global Humanitarian Technology Conference (GHTC), pp. 613–623 (2016)

    Google Scholar 

  28. Alabdullah, J.H., Van Lunen, B.L., Claiborne, D.M., Daniel, S.J., Yen, C.J., Gustin, T.S.: Application of the unified theory of acceptance and use of technology model to predict dental students’ behavioral intention to use teledentistry. J. Dent. Educ. 84 (2020). https://doi.org/10.1002/jdd.12304

  29. Venugopal, P., Priya, S.A., Manupati, V.K., Varela, M.L.R., Machado, J., Putnik, G.D.: Impact of UTAUT predictors on the intention and usage of electronic health records and telemedicine from the perspective of clinical staffs. In: Machado, J., Soares, F., Veiga, G. (eds.) HELIX 2018. LNEE, vol. 505, pp. 172–177. Springer, Cham (2019). https://doi.org/10.1007/978-3-319-91334-6_24

    Chapter  Google Scholar 

  30. van der Vaart, R., Atema, V., Evers, A.W.: Guided online self-management interventions in primary care: A survey on use, facilitators, and barriers. BMC Family Pract. 17 (2016). https://doi.org/10.1186/s12875-016-0424-0

  31. Hailemariam, G., Negash, S., Musa, P.F.: In search of insights from community of practice and use of telemedicine in low income countries: the case of Ethiopia. In: 16th Americas Conference on Information Systems 2010, AMCIS 2010, vol. 3, p. 276 (2010)

    Google Scholar 

  32. Saigí-Rubió, F., et al.: Determinants of Catalan public primary care professionals’ intention to use digital clinical consultations (eConsulta) in the Post–COVID-19 context: mixed methods study. J. Med. Internet Res. 23(6), e28944 (2021)

    Article  Google Scholar 

  33. Orruño, E., Gagnon, M.P., Asua, J., Abdeljelil, A.B.: Evaluation of teledermatology adoption by health-care professionals using a modified Technology Acceptance Model. J. Telemed. Telecare 17, 303–307 (2011). https://doi.org/10.1258/jtt.2011.101101

    Article  Google Scholar 

  34. Gagnon, M.P., Orruño, E., Asua, J., Abdeljelil, A.B., Emparanza, J.: Using a modified technology acceptance model to evaluate healthcare professionals’ adoption of a new telemonitoring system. Telemed. J. e-health Off. J. Am. Telemed. Assoc. 18, 54–59 (2011). https://doi.org/10.1089/tmj.2011.0066

    Article  Google Scholar 

  35. Dünnebeil, S., Sunyaev, A., Blohm, I., Leimeister, J.M., Krcmar, H.: Determinants of physicians’ technology acceptance for e-health in ambulatory care. Int. J. Med. Inform. 81(11), 746–760 (2012)

    Article  Google Scholar 

  36. Saigí-Rubió, F., Torrent-Sellens, J., Jiménez-Zarco, A.: Drivers of telemedicine use: comparative evidence from samples of Spanish, Colombian and Bolivian physicians. Implement. Sci. IS 9, 128 (2014). https://doi.org/10.1186/s13012-014-0128-6

    Article  Google Scholar 

  37. Saigi-Rubió, F., Jiménez-Zarco, A., Torrent-Sellens, J.: Determinants of the intention to use telemedicine: evidence from primary care physicians. Telemed. e-Health (2014). https://doi.org/10.1017/S0266462316000015

    Article  Google Scholar 

  38. Shadangi, P., Dash, M.: A conceptual model for telemedicine adoption: an examination of technology acceptance model. Int. J. Rec. Technol. Eng. 8, 1286–1288. https://doi.org/10.35940/ijrte.B1916.078219

  39. Klingberg, A., Sawe, H.R., Hammar, U., Wallis, L.A., Hasselberg, M.: mHealth for burn injury consultations in a low-resource setting: an acceptability study among health care providers. Telemed. e-Health 26 (2019). https://doi.org/10.1089/tmj.2019.0048

  40. Asua, J., Orruño, E., Reviriego, E., Gagnon, M.P.: Healthcare professional acceptance of telemonitoring for chronic care patients in primary care. BMC Med. Inform. Decis. Mak. 12, 139 (2012). https://doi.org/10.1186/1472-6947-12-139

  41. Maarop, N., Win, K.T., Masrom, M., Singh, S.S.H.: Exploring teleconsultation acceptance: a comparison study between emergency and non-emergency setting. In: 2011 International Conference on Research and Innovation in Information Systems, ICRIIS 2011 (2011). https://doi.org/10.1109/ICRIIS.2011.6125723

  42. Hoque, M., Bao, Y.: Cultural influence on adoption and use of e-Health: evidence in Bangladesh. Telemed. J. e-health Off. J. Am. Telemed. Assoc. 21 (2015). https://doi.org/10.1089/tmj.2014.0128

  43. Dash, M.: Physician’s attitude towards acceptance of telemedicine technology for delivering health care services 09, 715–722 (2018)

    Google Scholar 

  44. Adenuga, K.I., Iahad, N.A., Miskon, S.: Towards reinforcing telemedicine adoption amongst clinicians in Nigeria. Int. J. Med. Inform. 104, 84–96 (2017)

    Article  Google Scholar 

  45. Shiferaw, K.B., Mengiste, S.A., Gullslett, M.K., Zeleke, A.A., Tilahun, B., et al.: Healthcare providers’ acceptance of telemedicine and preference of modalities during COVID-19 pandemics in a low-resource setting: an extended UTAUT model. PLoS ONE 16(4), e0250220 (2021)

    Article  Google Scholar 

  46. Mbelwa, J.T., Kimaro, H.C., Mussa, B.: Acceptability and use of mobile health applications in health information systems: a case of eIDSR and DHIS2 touch mobile applications in Tanzania. In: Nielsen, P., Kimaro, H.C. (eds.) ICT4D 2019. IAICT, vol. 551, pp. 579–592. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-18400-1_48

    Chapter  Google Scholar 

  47. Kohnke, A., Cole, M.L., Bush, R.G.: Incorporating UTAUT predictors for understanding home care patients’ and clinician’s acceptance of healthcare telemedicine equipment. J. Technol. Manag. Innov. 9(2), 29–41 (2014)

    Article  Google Scholar 

  48. Sezgin, E., Özkan-Yildirim, S., Yildirim, S.: Understanding the perception towards using mHealth applications in practice: physicians’ perspective. Inf. Dev. 34, 182–200 (2018). https://doi.org/10.1177/0266666916684180

    Article  Google Scholar 

  49. Mengesha, G.H., Garfield, M.J.: A contextualized IT adoption and use model for telemedicine in Ethiopia. Inf. Technol. Dev. 25, 184–203 (2019)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Ibn Tofail University, Kenitra, Morocco

    Mohammed Rouidi & Abd Elmajid Elouadi

  2. Hassan 1er University, Settat, Morocco

    Amine Hamdoune

  3. Mohammed V University, Rabat, Morocco

    Khadija Choujtani

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  1. Mohammed Rouidi
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  2. Abd Elmajid Elouadi
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  3. Amine Hamdoune
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  4. Khadija Choujtani
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Corresponding author

Correspondence to Mohammed Rouidi .

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Editors and Affiliations

  1. Ecole Nationale des Sciences Appliquées, Fez, Morocco

    Saad Motahhir

  2. Faculty of Sciences, Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Badre Bossoufi

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Rouidi, M., Elouadi, A.E., Hamdoune, A., Choujtani, K. (2022). The Behavioral Intention of Healthcare Professionals to Accept Remote Care Technologies: 20 Years of Scientific Production. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2022. Lecture Notes in Networks and Systems, vol 455. Springer, Cham. https://doi.org/10.1007/978-3-031-02447-4_16

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