Dropping the E: The potential for integrating e-mental health in psychotherapy

Daele, Tom Van; Best, Paul; Bernaerts, Sylvie; Assche, Eva Van; Witte, Nele A. J. De

doi:10.1016/j.copsyc.2021.02.007

Cited by 8 publications

(7 citation statements)

References 45 publications

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“…Of course, the use of in‐person therapy or TPT does not have to be a binary clinical decision. Therapists and patients might consider integrating TPT sessions within an in‐person treatment or do the full treatment via TPT technology (Van Daele et al, 2021 ). Patients may receive a combination of in‐person and remote sessions based on changing needs over the course of therapy (Yellowlees & Nafiz, 2010 ).…”

Section: Discussionmentioning

confidence: 99%

“…Although previously clinicians were required to provide in-person therapy to ensure governmental funding, in the near future, clinicians might be able to make a clinical decision to determine which therapeutic format might be most beneficial to a patient at a given time. Of course, the use of inperson therapy or TPT does not have to be a binary clinical decision.Therapists and patients might consider integrating TPT sessions within an in-person treatment or do the full treatment via TPT technology(Van Daele et al, 2021). Patients may receive a combination of in-person and remote sessions based on changing needs over the course of therapy(Yellowlees & Nafiz, 2010).…”

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confidence: 99%

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Psychotherapists' acceptance of telepsychotherapy during the COVID‐19 pandemic: A machine learning approach

Békés

Doorn

Zilcha‐Mano

et al. 2021

Clin Psychology and Psychoth

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Objective This study aimed to develop predictive models of three aspects of psychotherapists' acceptance of telepsychotherapy (TPT) during the COVID‐19 pandemic, attitudes towards TPT technology, concerns about using TPT technology and intention to use TPT technology in the future. Method Therapists ( n = 795) responded to a survey about their TPT experiences during the pandemic, including quality of the therapeutic relationship, professional self‐doubt, vicarious trauma and TPT acceptance. Regression decision tree machine learning analyses were used to build prediction models for each of three aspects of TPT acceptance in a training subset of the data and subsequently tested in the remaining subset of the total sample. Results Attitudes towards TPT were most positive for therapists who reported a neutral or strong online working alliance with their patients, especially if they experienced little professional self‐doubt and were younger than 40 years old. Therapists who were most concerned about TPT were those who reported higher levels of professional self‐doubt, particularly if they also reported vicarious trauma experiences. Therapists who reported low working alliance with their patients were least likely to use TPT in the future. Performance metrics for the decision trees indicated that these three models held up well in an out‐of‐sample dataset. Conclusions Therapists' professional self‐doubt and the quality of their working alliance with their online patients appear to be the most pertinent factors associated with therapists' acceptance of TPT technology during COVID‐19 and should be addressed in future training and research.

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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

Psychotherapists' acceptance of telepsychotherapy during the COVID‐19 pandemic: A machine learning approach

Békés

Doorn

Zilcha‐Mano

et al. 2021

Clin Psychology and Psychoth

View full text Add to dashboard Cite

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“…The Unified Theory of Acceptance and Use of Technology (UTAUT) states that each of these can in turn be impacted by individual mental health professionals' characteristics, such as gender, age, and experience, although these moderators haven't always been identified in relation to the acceptance of digital health interventions ( Venkatesh et al, 2003 ; Philippi et al, 2021 ). Taken together, the successful dissemination and implementation of technology in mental healthcare remains a challenge, despite an increasingly expanding field of research ( Van Daele et al, 2021 ; Prieto-Fidalgo et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Online consultations in mental healthcare: Modelling determinants of use and experience based on an international survey study at the onset of the pandemic

Daele¹,

Mathiasen²,

Carlbring³

et al. 2022

Internet Interventions

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“…Platforms such as ORCHA [ https://appfinder.orcha.co.uk/ ] and One Mind PsyberGuide [ https://onemindpsyberguide.org ] conduct reviews to ensure quality standards and to provide transparency on the quality of digital health applications. However, most applications are not evidence-based ( 15 ) and only few mental health apps have been subjected to effectiveness ( 16 ). This is very troublesome for patients in need of selecting self-help and unguided apps.…”

Section: Introductionmentioning

confidence: 99%

The feasibility of using Apple's ResearchKit for recruitment and data collection: Considerations for mental health research

Bührmann

Daele²,

Rinn

et al. 2022

Front. Digit. Health

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In 2015, Apple launched an open-source software framework called ResearchKit. ResearchKit provides an infrastructure for conducting remote, smartphone-based research trials through the means of Apple's App Store. Such trials may have several advantages over conventional trial methods including the removal of geographic barriers, frequent assessments of participants in real-life settings, and increased inclusion of seldom-heard communities. The aim of the current study was to explore the feasibility of participant recruitment and the potential for data collection in the non-clinical population in a smartphone-based trial using ResearchKit. As a case example, an app called eMovit, a behavioural activation (BA) app with the aim of helping users to build healthy habits was used. The study was conducted over a 9-month period. Any iPhone user with access to the App Stores of The Netherlands, Belgium, and Germany could download the app and participate in the study. During the study period, the eMovit app was disseminated amongst potential users via social media posts (Twitter, Facebook, LinkedIn), paid social media advertisements (Facebook), digital newsletters and newspaper articles, blogposts and other websites. In total, 1,788 individuals visited the eMovit landing page. A total of 144 visitors subsequently entered Apple's App Store through that landing page. The eMovit product page was viewed 10,327 times on the App Store. With 79 installs, eMovit showed a conversion rate of 0.76% from product view to install of the app. Of those 79 installs, 53 users indicated that they were interested to participate in the research study and 36 subsequently consented and completed the demographics and the participants quiz. Fifteen participants completed the first PHQ-8 assessment and one participant completed the second PHQ-8 assessment. We conclude that from a technological point of view, the means provided by ResearchKit are well suited to be integrated into the app process and thus facilitate conducting smartphone-based studies. However, this study shows that although participant recruitment is technically straightforward, only low recruitment rates were achieved with the dissemination strategies applied. We argue that smartphone-based trials (using ResearchKit) require a well-designed app dissemination process to attain a sufficient sample size. Guidelines for smartphone-based trial designs and recommendations on how to work with challenges of mHealth research will ensure the quality of these trials, facilitate researchers to do more testing of mental health apps and with that enlarge the evidence-base for mHealth.

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Dropping the E: The potential for integrating e-mental health in psychotherapy

Cited by 8 publications

References 45 publications

Psychotherapists' acceptance of telepsychotherapy during the COVID‐19 pandemic: A machine learning approach

Psychotherapists' acceptance of telepsychotherapy during the COVID‐19 pandemic: A machine learning approach

Online consultations in mental healthcare: Modelling determinants of use and experience based on an international survey study at the onset of the pandemic

The feasibility of using Apple's ResearchKit for recruitment and data collection: Considerations for mental health research

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