Providers’ Perspectives on Telemental Health Usage After the COVID-19 Pandemic: Retrospective Analysis

Background Mental health care pivoted to telemedicine during the COVID-19 pandemic, and there is uncertainty around the sustainability of this rapid shift. Objective This study examined how intentions to continue using telemedicine after the COVID-19 pandemic are influenced by provider perceptions of usefulness, ease of use, and professional social influence, facilitating organizational conditions. Methods We conducted a web-based, cross-sectional survey of 369 telemental health providers between February and March 2021. A hierarchical linear regression analysis was conducted to predict intentions to continue using telemedicine after the COVID-19 pandemic. Results Most providers began using telemedicine in March 2020 or later (257/369, 69.6%) and attended to ≥50% of their clients via telemedicine (299/369, 81.0%). Intention to continue using telemedicine after the COVID-19 pandemic was predicted by the telemedicine caseload (β=.10; P=.005), perceived usefulness in general (β=.10; P=.008), ease of use (β=.08; P=.04), social influence (β=.68; P<.001), and facilitating conditions (β=.08; P=.047). Conclusions Exploration of the predictors of telemedicine usage beyond the COVID-19 pandemic aids in surveillance of telemedicine usage, integration with future clinic workflows, and the shaping of public policy. It is important to consider telemedicine services as not only a response to a crisis but also an effective and useful solution for everyday life. Our results suggest widespread, sustainable telemedicine adoption.

[1]  Brandon M. Welch,et al.  Perceptions of Telemental Health Care Delivery During COVID-19: A Cross-Sectional Study With Providers, February-March 2021 , 2022, Frontiers in Psychiatry.

[2]  A. Garavand,et al.  Acceptance of telemedicine technology among physicians: A systematic review , 2022, Informatics in Medicine Unlocked.

[3]  Abdelmajid Elouadi,et al.  Acceptance and use of telemedicine technology by health professionals: Development of a conceptual model , 2022, Digital health.

[4]  Janelle F. Barrera,et al.  Exploring telemental health practice before, during, and after the COVID-19 pandemic. , 2021, Journal of telemedicine and telecare.

[5]  M. Heckman,et al.  Physician Satisfaction With Telemedicine During the COVID-19 Pandemic: The Mayo Clinic Florida Experience , 2021, Mayo Clinic Proceedings: Innovations, Quality & Outcomes.

[6]  Janelle F. Barrera,et al.  Assessing the impact of COVID-19 on mental health providers in the southeastern United States , 2021, Psychiatry Research.

[7]  P. Perrin,et al.  Examining models of psychologists' telepsychology use during the COVID‐19 pandemic: A national cross‐sectional study , 2021, Journal of clinical psychology.

[8]  Brandon M. Welch,et al.  Provision of Care by “Real World” Telemental Health Providers , 2021, Frontiers in Psychology.

[9]  Michael Lawrence Barnett,et al.  Trends in Outpatient Care Delivery and Telemedicine During the COVID-19 Pandemic in the US. , 2020, JAMA internal medicine.

[10]  Brandon M. Welch,et al.  Acceptability of Telemedicine Features to Promote Its Uptake in Practice: A Survey of Community Telemental Health Providers , 2020, International journal of environmental research and public health.

[11]  Michael Lawrence Barnett,et al.  Suddenly Becoming a "Virtual Doctor": Experiences of Psychiatrists Transitioning to Telemedicine During the COVID-19 Pandemic. , 2020, Psychiatric services.

[12]  W. McCuddy,et al.  Mental Health Practitioners’ Immediate Practical Response During the COVID-19 Pandemic: Observational Questionnaire Study , 2020, JMIR mental health.

[13]  P. Perrin,et al.  The COVID-19 telepsychology revolution: A national study of pandemic-based changes in U.S. mental health care delivery. , 2020, The American psychologist.

[14]  Thomas Probst,et al.  Provision of Psychotherapy during the COVID-19 Pandemic among Czech, German and Slovak Psychotherapists , 2020, International journal of environmental research and public health.

[15]  B. Pfefferbaum,et al.  Mental Health and the Covid-19 Pandemic. , 2020, The New England journal of medicine.

[16]  Hady Naal,et al.  Telemental Health in the Context of a Pandemic: the COVID-19 Experience , 2020, Current Treatment Options in Psychiatry.

[17]  Muhammad Imtiaz Shafiq,et al.  Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM) , 2020, Technology in Society.

[18]  Christopher J. Miller,et al.  A systematic review of providers’ attitudes toward telemental health via videoconferencing , 2020, Clinical psychology : a publication of the Division of Clinical Psychology of the American Psychological Association.

[19]  E. Ernawati,et al.  Telemedicine, Cost Effectiveness, and Patients Satisfaction: A Systematic Review , 2020, Journal of Health Policy and Management.

[20]  D. Hilty,et al.  Barriers to Use of Telepsychiatry: Clinicians as Gatekeepers. , 2019, Mayo Clinic proceedings.

[21]  M. Mishkind,et al.  Technology-Based Mental Health Treatment and the Impact on the Therapeutic Alliance , 2019, Current Psychiatry Reports.

[22]  Madlen Scheibe,et al.  Theories Predicting End-User Acceptance of Telemedicine Use: Systematic Review , 2019, Journal of medical Internet research.

[23]  Iyabo Mabawonku,et al.  Influence of Performance Expectancy and Facilitating Conditions on use of Digital Library by Engineering Lecturers in universities in South-west, Nigeria , 2018 .

[24]  M. Siahpush,et al.  COSTS OF HOME-BASED TELEMEDICINE PROGRAMS: A SYSTEMATIC REVIEW , 2018, International Journal of Technology Assessment in Health Care.

[25]  Olayele Adelakun,et al.  A Review of Patient and Provider Satisfaction with Telemedicine , 2017, AMCIS.

[26]  Niranjan Bidargaddi,et al.  Service providers' experiences of using a telehealth network 12 months after digitisation of a large Australian rural mental health service , 2016, Int. J. Medical Informatics.

[27]  Kyung-Yong Chung,et al.  Factors influencing the acceptance of telemedicine for diabetes management , 2015, Cluster Computing.

[28]  Christophe Maïano,et al.  Factors influencing mental health providers’ intention to use telepsychotherapy in First Nations communities , 2013, Transcultural psychiatry.

[29]  Marie-Pierre Gagnon,et al.  Healthcare professional acceptance of telemonitoring for chronic care patients in primary care , 2012, BMC Medical Informatics and Decision Making.

[30]  M. Gagnon,et al.  Evaluation of teledermatology adoption by health-care professionals using a modified Technology Acceptance Model , 2011, Journal of telemedicine and telecare.

[31]  James T. Miller,et al.  An Empirical Evaluation of the System Usability Scale , 2008, Int. J. Hum. Comput. Interact..

[32]  Viswanath Venkatesh,et al.  Predicting Different Conceptualizations of System Use: The Competing Roles of Behavioral Intention, Facilitating Conditions, and Behavioral Expectation , 2008, MIS Q..

[33]  P. Whitten,et al.  Addressing telehealth's foremost barrier: Provider as initial gatekeeper , 2005, International Journal of Technology Assessment in Health Care.

[34]  June Lu,et al.  Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology , 2005, J. Strateg. Inf. Syst..

[35]  Gunther Eysenbach,et al.  Improving the Quality of Web Surveys: The Checklist for Reporting Results of Internet E-Surveys (CHERRIES) , 2004, Journal of medical Internet research.

[36]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[37]  Sonja Wiley-Patton,et al.  Does the extended technology acceptance model apply to physicians , 2003, 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the.

[38]  Olivia R. Liu Sheng,et al.  Examining the Technology Acceptance Model Using Physician Acceptance of Telemedicine Technology , 1999, J. Manag. Inf. Syst..

[39]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[40]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .