Adoption of technology‐enhanced treatments: Conceptual and practical considerations.
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As the efficacy of technology-enhanced mental health service delivery models (i.e., supportive or adjunctive technological tools) are examined, we must inform and guide clinician decision-making regarding acceptance and, in turn, uptake. Accordingly, this review aims to move beyond traditional discussions of geographic barriers by integrating, reconciling, and extending literatures on dissemination and implementation, as well as technology uptake, in order to anticipate and address organizational and clinician barriers to adoption of technology-enhancements. Specifically, a five-stage model is proposed to address organizational readiness for and clinician acceptance of technology-enhancements to evidence-based treatments, as well as the relevance of current adoption strategies for technology-enhanced services. Our aim is to provide a guiding framework for future research and practice.
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Several other recently published technology implementation frameworks have embraced complexity theory and argued strongly for a developmental, contextualized, and adaptive approach.
“Several other recently published technology implementation frameworks have embraced complexity theory and argued strongly for a developmental, contextualized, and adaptive approach [43,47,53-60].”
From Beyond Adoption: A New Framework for Theorizing and Evaluating Nonadoption, Abandonment, and Challenges to the Scale-Up, Spread, and Sustainability of Health and Care Technologies (2017) · cites this paper as [53]
In “Adoption of Technology-Enhanced Services: A Conceptual Framework” (page unavailable), the paper proposes a five-stage developmental framework. Its Stage 1 discussion recommends iterative design that accounts for different adoption settings, supporting a contextualized approach. Our copy does not show the framework embracing complexity theory; its discussion of “complexity” concerns perceived difficulty of use. (LLM, conf=0.84)
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Greenhalgh, T., Wherton, J., Papoutsi, C., Lynch, J., Hughes, G., A'Court, C., Hinder, S., Fahy, N., Procter, R., & Shaw, S. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.8775 · Cited by 2,887 · see citing works
“Several other recently published technology implementation frameworks have embraced complexity theory and argued strongly for a developmental, contextualized, and adaptive approach [43,47,53-60].”
Implementation strategies for digital mental health interventions in health care settings.
Graham, A. K., Lattie, E. G., Powell, B. J., Lyon, A. R., Smith, J. D., Schueller, S. M., Stadnick, N. A., Brown, C. H., & Mohr, D. C. (2020) · American Psychologist · doi:10.1037/amp0000686 · Cited by 236 · see citing works
A randomized controlled trial of three smartphone apps for enhancing public mental health
Bakker, D., Kazantzis, N., Rickwood, D., & Rickard, N. (2018) · Behaviour Research and Therapy · doi:10.1016/j.brat.2018.08.003 · Cited by 176 · see citing works
Greenhalgh, T., Maylor, H., Shaw, S., Wherton, J., Papoutsi, C., Betton, V., Nelissen, N., Gremyr, A., Rushforth, A., Koshkouei, M., et al. (2020) · JMIR Research Protocols · doi:10.2196/16861 · Cited by 152 · see citing works
Abimbola, S., Patel, B., Peiris, D., Patel, A., Harris, M., Usherwood, T., & Greenhalgh, T. (2019) · BMC Medicine · doi:10.1186/s12916-019-1463-x · Cited by 102 · see citing works
Baweja, R., Soutullo, C., & Waxmonsky, J. G. (2021) · World Journal of Psychiatry · doi:10.5498/wjp.v11.i12.1206 · Cited by 68 · see citing works
Hemoadsorption: consensus report of the 30th Acute Disease Quality Initiative workgroup
Bellomo, R., Ankawi, G., Bagshaw, S. M., Baldwin, I., Basu, R. K., Bottari, G., Cantaluppi, V., Clark, W. R., Rosa, S. D., Forni, L. G., et al. (2024) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfae089 · Cited by 69 · see citing works
Ramos, G., Hernandez-Ramos, R., Taylor, M. E., & Schueller, S. M. (2024) · Behavior Therapy · doi:10.1016/j.beth.2024.04.004 · Cited by 64 · see citing works
Rimer, E., Husby, L. V., & Solem, S. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.671871 · Cited by 54 · see citing works
“This may partly be due to lack of acceptance and technological literacy among clinicians (Anton and Jones, 2017).”
BackgroundMental Health Apps in Psychiatric Treatment: A Patient Perspective on Real World Technology Usage
Chiauzzi, E., & Newell, A. (2019) · JMIR Mental Health · doi:10.2196/12292 · Cited by 46 · see citing works
Perceived acceptability of wearable devices for the treatment of mental health problems
Hunkin, H., King, D. L., & Zajac, I. T. (2020) · Journal of Clinical Psychology · doi:10.1002/jclp.22934 · Cited by 46 · see citing works
Jones, D. J., Loiselle, R., Zachary, C., Georgeson, A. R., Highlander, A., Turner, P., Youngstrom, J. K., Khavjou, O., Anton, M. T., Gonzalez, M., et al. (2020) · Behavior Therapy · doi:10.1016/j.beth.2020.07.001 · Cited by 40 · see citing works
Self-citationBarnett, M. L., Sigal, M., Rosas, Y. G., Corcoran, F., Rastogi, M., & Jent, J. F. (2021) · Cognitive and Behavioral Practice · doi:10.1016/j.cbpra.2021.03.005 · Cited by 38 · see citing works
Biases and imperatives in handling medical technology
Hofmann, B. (2019) · Health Policy and Technology · doi:10.1016/j.hlpt.2019.10.005 · Cited by 34 · see citing works
Villarreal‐Zegarra, D., Alarcon-Ruiz, C. A., Meléndez‐Torres, G. J., Torres-Puente, R., Navarro‐Flores, A., Cavero, V., Ambrosio-Melgarejo, J. I., Rojas-Vargas, J., Almeida-Huanca, G., Albitres‐Flores, L., et al. (2022) · JMIR Mental Health · doi:10.2196/34760 · Cited by 33 · see citing works
Georgiadis, C., Peris, T. S., & Comer, J. S. (2020) · Evidence-Based Practice in Child and Adolescent Mental Health · doi:10.1080/23794925.2020.1796550 · Cited by 31 · see citing works
Georgeson, A. R., Highlander, A., Loiselle, R., Zachary, C., & Jones, D. J. (2020) · Clinical Psychology Review · doi:10.1016/j.cpr.2020.101858 · Cited by 29 · see citing works
Self-citationAn Introduction to Core Competencies for the Use of Mobile Apps in Cognitive and Behavioral Practice
Schueller, S. M., Armstrong, C. M., Neary, M., & Ciulla, R. (2020) · Cognitive and Behavioral Practice · doi:10.1016/j.cbpra.2020.11.002 · Cited by 27 · see citing works
Biases distorting priority setting
Hofmann, B. (2019) · Health Policy · doi:10.1016/j.healthpol.2019.11.010 · Cited by 27 · see citing works
Kawadler, J. M., Hemmings, N. R., Ponzo, S., Morelli, D., Bird, G., & Plans, D. (2020) · JMIR Formative Research · doi:10.2196/18067 · Cited by 20 · see citing works
Tools of Engagement: Practical Considerations for Utilizing Technology-Based Tools in CBT Practice
Muroff, J. R., & Robinson, W. (2020) · Cognitive and Behavioral Practice · doi:10.1016/j.cbpra.2020.01.004 · Cited by 17 · see citing works
Matanov, A., McNamee, P., Akther, S. F., Barber, N., & Bird, V. J. (2021) · BMC Psychiatry · doi:10.1186/s12888-021-03256-5 · Cited by 16 · see citing works
Chou, T., Bry, L. J., & Comer, J. S. (2017) · Clinical Psychology Science and Practice · doi:10.1111/cpsp.12196 · Cited by 17 · see citing works
Starvaggi, I., & Lorenzo‐Luaces, L. (2024) · JMIR Mental Health · doi:10.2196/65356 · Cited by 15 · see citing works
Hofmann, B. (2021) · Health Economics Policy and Law · doi:10.1017/s1744133121000037 · Cited by 14 · see citing works
Parenting and Family Intervention in Treatment
McMahon, R. J., & Pasalich, D. S. (2018) · Springer eBooks · doi:10.1007/978-3-319-94598-9_33 · Cited by 13 · see citing works
Technology-enhanced practice competencies: scoping review and novel model development
Perle, J. G., Chandran, D. N., Brezler, E., Coleman, M., Deziel, J., Nahhas, P., McDonald, G., & Jent, J. F. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1571518 · Cited by 10 · see citing works
Caring electronically for young outpatients who have epilepsy
Oppenheimer, J. E., Leviton, A., Chiujdea, M., Antonetty, A., Ojo, O. W., Garcia, S. M., Weas, S., Fleegler, E. W., Chan, E., & Loddenkemper, T. (2018) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2018.06.018 · Cited by 6 · see citing works
Baek, Y., Jeong, K., Lee, S., Kim, H., Seo, B., & Jin, H. (2021) · JMIR mhealth and uhealth · doi:10.2196/27455 · Cited by 5 · see citing works
Segar, V., Ang, P. K., Foteff, C., & Ng, K. (2021) · International Journal of Technology Assessment in Health Care · doi:10.1017/s0266462321000222 · Cited by 4 · see citing works
COVID-19’s Nudge to Modernise: An Opportunity to Reconsider Telehealth and Counselling Placements
Beel, N. (2021) · Psychotherapy and Counselling Journal of Australia · doi:10.59158/001c.71230 · Cited by 3 · see citing works
Saar, C. R., Brandes, O., & Baumel, A. (2024) · Child Psychiatry & Human Development · doi:10.1007/s10578-024-01803-1 · Cited by 3 · see citing works
Jones, D. J., Anton, M. T., Zachary, C., & Loiselle, R. (2018) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-018-0072-4 · Cited by 3 · see citing works
Self-citationExpanding the Reach of Evidence-Based Psychotherapy Through Remote Technologies
Poznanski, B., Silva, K., Conroy, K., Georgiadis, C., & Comer, J. S. (2020) · Issues in clinical child psychology · doi:10.1007/978-3-030-44226-2_25 · Cited by 3 · see citing works
Empowering Medical Educators: A UTAUT Analysis of Technology Adoption in Inquiry-Based Learning
Anderson, M. C., York, C. S., Hodge-Zickerman, A., Park, Y. S., & Rhode, J. (2024) · Technology Knowledge and Learning · doi:10.1007/s10758-023-09709-y · Cited by 2 · see citing works
Technology 2.0: A Commentary on Progress, Challenges, and Next Steps
Jones, D. J. (2017) · Child Maltreatment · doi:10.1177/1077559517738364 · Cited by 2 · see citing works
Self-citationParent, J. M., Jones, D. J., DiMarzio, K., Yang, Y., Wright, K. L., Sullivan, A. D. W., & Forehand, R. (2022) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-022-00979-1 · Cited by 1 · see citing works
Self-citationEvidence-Based Interventions for Oppositional Behavior and Other Conduct Problems in Young Children
McMahon, R. J., & Pasalich, D. S. (2020) · Issues in clinical child psychology · doi:10.1007/978-3-030-44226-2_13 · Cited by 1 · see citing works
Menon, V. A. (2025) · Advances in medical technologies and clinical practice book series · doi:10.4018/979-8-3693-3112-5.ch004 · Cited by 1 · see citing works
Introduction to Volume 10: Technology in Clinical Psychology
Riva, G. (2022) · Comprehensive Clinical Psychology · doi:10.1016/b978-0-12-818697-8.02010-0
Patil, V. S., Patkar, R. J., Mokal, A. A., Singh, K. K., Choughule, A. S., & Bora, R. (2024) · Advances in medical technologies and clinical practice book series · doi:10.4018/979-8-3693-1090-8.ch009
Physicians’ Attitudes Toward E-Prescription in Kerala: Facilitators, Barriers, and Insights
Saranya, P., & Balasubramanian, A. (2025) · Lecture notes in networks and systems · doi:10.1007/978-981-96-1744-9_36
Matanov, A., McNamee, P., Akther, S. F., Barber, N., & Bird, V. J. (2021) · Figshare · doi:10.6084/m9.figshare.14633874
Matanov, A., McNamee, P., Akther, S. F., Barber, N., & Bird, V. J. (2021) · Figshare · doi:10.6084/m9.figshare.14633871
Athanassopoulos, L. (2026) · Counselling and Psychotherapy Research · doi:10.1002/capr.70147
Robles, L. F. O., Herrera, X. M., & Flores, J. A. G. (2026) · Research Square · doi:10.21203/rs.3.rs-9749635/v1
- Authors
- Anton, M. T., & Jones, D. J.
- Affiliations
- University of North Carolina at Chapel Hill (US)
- Venue
- Clinical Psychology: Science and Practice
- Published
- 2017-09
- Volume
- 24
- Issue
- 3
- Pages
- 223-240
- ISSN
- 0969-5893 (ISSN-L)
- 1468-2850
- PMC
- PMC5616179
- OpenAlex
- W2612773831
- Cited by
- 46
- References
- 95
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 6 · 2022: 3 · 2021: 10 · 2020: 10 · 2019: 5 · 2018: 4 · 2017: 3
- FWCI
- 6.87
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Licence
- Locations
- Clinical Psychology Science and Practice (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (R01MH100377)
- National Institute of Child Health and Human Development (T32-HD07376)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Keywords
- technology adoption, clinician acceptance, organizational readiness, dissemination and implementation, evidence-based treatment, barriers to adoption, adoption strategies, five-stage model
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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