Integrating human support into behavioral intervention technologies: The efficiency model of support.

Schueller, Stephen M.; Tomasino, Kathryn Noth; Mohr, David C.

doi:10.1037/h0101740

Cited by 211Digital Mental Health InterventionsSocial Robot Interaction and HRIInnovative Human-Technology Interaction

Integrating human support into behavioral intervention technologies: The efficiency model of support.

Schueller, Stephen M., Tomasino, Kathryn Noth, Mohr, David C.·2017·Clinical Psychology: Science and Practice

DOI 10.1037/h0101740

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Recent evidence suggests that the nature of support is an important element in improving outcomes.
“Recent evidence suggests that the nature of that support is an important element in improving outcomes.”
From Feasibility and Acceptability of the Aboriginal and Islander Mental Health Initiative for Youth App: Nonrandomized Pilot With First Nations Young People (2023) · cites this paper as [8]
A focus on both increasing engagement and furthering knowledge and implementation of the skills learned in the dMH intervention is needed.
“A focus on both increasing engagement and furthering knowledge and implementation of the skills learned in the dMH intervention is needed [8].”
From Feasibility and Acceptability of the Aboriginal and Islander Mental Health Initiative for Youth App: Nonrandomized Pilot With First Nations Young People (2023) · cites this paper as [8]
Support that targets engagement alone is not sufficient to improve clinical outcomes beyond those of unsupported interventions.
“Support that targets engagement alone is not sufficient to improve clinical outcomes beyond those of unsupported interventions [8].”
From Feasibility and Acceptability of the Aboriginal and Islander Mental Health Initiative for Youth App: Nonrandomized Pilot With First Nations Young People (2023) · cites this paper as [8]
Support that addresses the reasons people might fail to benefit from dMH interventions, such as deficiencies in usability, engagement, fit, knowledge, or implementation, is likely to be more effective.
“On the other hand, support that addresses the reasons people might fail to benefit from dMH interventions, such as deficiencies in usability, engagement, fit, knowledge, or implementation, is likely to be more effective.”
From Feasibility and Acceptability of the Aboriginal and Islander Mental Health Initiative for Youth App: Nonrandomized Pilot With First Nations Young People (2023) · cites this paper as [8]
Short text-based reminders may be suitable for in-the-moment interventions and may be useful to address barriers to forgetting to use an intervention.
“Short text-based reminders may be suitable for in-the-moment interventions [251] and may be useful to address barriers to forgetting to use an intervention.”
From Barriers to and facilitators of user engagement with digital mental health interventions: Systematic review (2021) · cites this paper as [251]

Some themes identified in this review overlap with previous models conceptualizing engagement with digital health interventions and general technology acceptance and health behavior.
“Some of the themes identified in this review overlap with previous models conceptualizing engagement with digital health interventions, as well as general technology acceptance and health behavior, such as the Efficiency Model of Support [251], Technology Acceptance Model [253], and Health Belief Model [249].”
From Barriers to and facilitators of user engagement with digital mental health interventions: Systematic review (2021) · cites this paper as [251]
The Efficiency Model of Support states that human support increases engagement in the context of the use of digital health interventions when it addresses one of five failure points: usability, implementation, fit, engagement, and knowledge.
“For instance, the Efficiency Model of Support [251] states that human support increases engagement in the context of the use of digital health interventions when it addresses 1 of 5 failure points: usability, implementation, fit, engagement, and knowledge.”
From Barriers to and facilitators of user engagement with digital mental health interventions: Systematic review (2021) · cites this paper as [251]
The implementation failure point in the Efficiency Model pertained to whether the user can apply knowledge gained from an intervention in their lives.
“The implementation failure point in the efficiency model pertained to whether the user can apply knowledge gained from an intervention in their lives.”
From Barriers to and facilitators of user engagement with digital mental health interventions: Systematic review (2021) · cites this paper as [251]
The content and model of support vary, and this may be an additional factor that impacts effectiveness and engagement.
“Similarly, the content and model of support vary, and this may be an additional factor that impacts effectiveness and engagement [62].”
From The therapeutic alliance in digital mental health interventions for serious mental illnesses: narrative review (2020) · cites this paper as [62]
Provider visibility into technology usage is useful for supporting patient engagement.
“It is also useful for providers to be able to see usage of the technology so that patient engagement is supported (35, 65).”
From Banbury forum consensus statement on the path forward for digital mental health treatment (2021) · cites this paper as [35]

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Self-citation

Authors: Schueller, S. M., Tomasino, K. N., & Mohr, D. C.
ORCID: Schueller, Stephen M.
Tomasino, Kathryn Noth
Mohr, David C.
Venue: Clinical Psychology: Science and Practice
Publisher: American Psychological Association (APA)
Published: 2017-03
Volume: 24
Issue: 1
Pages: 27-45
ISSN: 0969-5893 (ISSN-L)
1468-2850
DOI: 10.1037/h0101740
OpenAlex: W4240249117
Cited by: 70
References: 0
Citations by year: 2026: 7 · 2025: 12 · 2024: 10 · 2023: 7 · 2022: 14 · 2021: 10 · 2020: 3 · 2019: 3 · 2018: 3 · 2016: 1
FWCI: 2.82
Type: journal article
Language: en
Open access: closed
Locations: Clinical Psychology Science and Practice (publishedVersion)
Topics: Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Keywords: human support, human-technology interaction, technology-based interventions

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