The Working Alliance Inventory for guided Internet interventions (WAI‐I)

Penedo, Juan Martìn Gómez; Berger, Thomas; Holtforth, Martin Grosse; Krieger, Tobias; Schröder, Johanna; Hohagen, Fritz; Meyer, Björn; Moritz, Steffen; Klein, Jan Philipp

doi:10.1002/jclp.22823

Cited by 80 publications

(57 citation statements)

References 48 publications

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“…The therapeutic alliance refers to the goal-directed, collaborative relationship between client and clinician and is the strongest predictor of client mental health outcomes [ 36 , 37 ]. According to Bordin [ 38 ], the alliance comprises three core conceptual elements which include bond, tasks, and goals [ 36 ]. One of the strongest findings identified in this study was the perception that a blended model of treatment had the potential to enhance the therapeutic relationship.…”

Section: Discussionmentioning

confidence: 99%

Blended Digital and Face-to-Face Care for First-Episode Psychosis Treatment in Young People: Qualitative Study

Valentine¹,

McEnery²,

Bell³

et al. 2020

JMIR Ment Health

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Background A small number of studies have found that digital mental health interventions can be feasible and acceptable for young people experiencing first-episode psychosis; however, little research has examined how they might be blended with face-to-face approaches in order to enhance care. Blended treatment refers to the integration of digital and face-to-face mental health care. It has the potential to capitalize on the evidence-based features of both individual modalities, while also exceeding the sum of its parts. This integration could bridge the online–offline treatment divide and better reflect the interconnected, and often complementary, ways young people navigate their everyday digital and physical lives. Objective This study aimed to gain young people’s perspectives on the design and implementation of a blended model of care in first-episode psychosis treatment. Methods This qualitative study was underpinned by an end-user development framework and was based on semistructured interviews with 10 participants aged 19 to 28 (mean 23.4, SD 2.62). A thematic analysis was used to analyze the data. Results Three superordinate themes emerged relating to young people’s perspectives on the design and implementation of a blended model of care in first-episode psychosis treatment: (1) blended features, (2) cautions, and (3) therapeutic alliance. Conclusions We found that young people were very enthusiastic about the prospect of blended models of mental health care, in so far as it was used to enhance their experience of traditional face-to-face treatment but not to replace it overall. Aspects of blended treatment that could enhance clinical care were readily identified by young people as increasing accessibility, continuity, and consolidation; accessing posttherapy support; strengthening the relationship between young person and clinician; and tracking personal data that could be used to better inform clinical decision making. Future research is needed to investigate the efficacy of blended models of care by evaluating its impact on the therapeutic alliance, clinical and social outcomes, cost-effectiveness, and engagement.

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Section: Discussionmentioning

confidence: 99%

Blended Digital and Face-to-Face Care for First-Episode Psychosis Treatment in Young People: Qualitative Study

Valentine¹,

McEnery²,

Bell³

et al. 2020

JMIR Ment Health

View full text Add to dashboard Cite

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“…Similarly, Heesacker et al review the available research on computer‐assisted assessment and psychotherapy for college students and argue the evidence to date supports wider implementation (Heesacker, Perez, Quinn, & Benton, 2020). Gómez Penedo et al (2020) address a theoretically important issue in their study of the properties of a version of the Working Alliance Inventory (Horvath & Greenberg, 1989) adopted for use in telepsychology.…”

Section: Clinical Practicementioning

confidence: 99%

Guest editorial: Introduction to the special issue on telepsychology: Research, training, practice, and policy

McCord

2020

J Clin Psychol

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“…Treatment expectancy will be assessed with the Credibility/Expectancy Questionnaire [55]. Working alliance with the online coaches will be assessed with the Working Alliance Inventory for Guided Internet Interventions [56].…”

Section: Moderators and Mediatorsmentioning

confidence: 99%

Optimizing the Context of Support to Improve Outcomes of Internet-Based Self-help in Individuals With Depressive Symptoms: Protocol for a Randomized Factorial Trial (Preprint)

Bur¹,

Krieger²,

Moritz³

et al. 2020

Preprint

Self Cite

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BACKGROUND Internet-based self-help interventions for individuals with depressive symptoms, in which the main component is often a web-based self-help program, have been shown to be efficacious in many controlled trials. However, there are also trials on self-help programs showing no significant effect when delivered in routine care, and some studies report high dropout and low adherence rates. Research suggests that these findings do not emerge primarily due to the specific content of a self-help program. It seems more important how a program is embedded in the context of human and automated support before and during the use of a self-help program. OBJECTIVE This study aims to better understand the effects of 4 supportive contextual factors on outcomes of and adherence to a web-based self-help program for depressive symptoms. In a factorial experiment, 2 of 4 supportive factors, for which there is evidence for their role on outcomes and adherence, are realized during the intervention—personal guidance and automated email reminders. The other 2 factors are realized before the intervention—a diagnostic interview and a preintervention module aimed at increasing the motivation to use the program with motivational interviewing techniques. METHODS The study is a full factorial randomized trial. Adults with mild to moderate depressive symptoms (Patient Health Questionnaire–9 score: 5-14) are recruited from the community through the internet and conventional media. All participants receive access to a web-based self-help program based on problem-solving therapy. They are randomized across 4 experimental factors, each reflecting the presence versus absence of a supportive factor (guidance, automated reminders, diagnostic interview, preintervention module) resulting in a 16-condition balanced factorial design. The primary outcome is depressive symptoms at 10 weeks post assessment. Secondary outcomes include adherence to the program, anxiety, stress, health-related quality of life, possible negative effects, and treatment satisfaction. Potential moderators and mediators (eg, treatment expectancy, problem-solving skills, working alliance with the study team) will also be investigated. RESULTS Ethical approval was received on January 20, 2020. The study was initiated in February 2020, and 240 participants have been enrolled in the study as of November 1, 2020. Recruitment for a total of 255 participants is ongoing. Data collection is expected to be completed by May 2021. CONCLUSIONS A better understanding of relevant supportive factors in the dissemination of web-based interventions is necessary to improve outcomes of and adherence to web-based self-help programs. This study may inform health care systems and guide decisions to optimize the implementation context of web-based self-help programs for depressive symptoms. CLINICALTRIAL ClinicalTrials.gov NCT04318236; https://clinicaltrials.gov/ct2/show/NCT04318236 INTERNATIONAL REGISTERED REPORT DERR1-10.2196/21207

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The Working Alliance Inventory for guided Internet interventions (WAI‐I)

Cited by 80 publications

References 48 publications

Blended Digital and Face-to-Face Care for First-Episode Psychosis Treatment in Young People: Qualitative Study

Blended Digital and Face-to-Face Care for First-Episode Psychosis Treatment in Young People: Qualitative Study

Guest editorial: Introduction to the special issue on telepsychology: Research, training, practice, and policy

Optimizing the Context of Support to Improve Outcomes of Internet-Based Self-help in Individuals With Depressive Symptoms: Protocol for a Randomized Factorial Trial (Preprint)

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