Mixed-method evaluation of an online motivational intervention as a pre-treatment to internet-delivered cognitive behaviour therapy: Immediate benefits and user feedback

Digital Interventions to Enhance Readiness for Psychological Therapy: Scoping Review

BACKGROUND

Psychological therapy is an effective treatment method for mental illness; however, many people with mental illness do not seek treatment or drop out of treatment early. Increasing client uptake and engagement in therapy is key to addressing the escalating global problem of mental illness. Attitudinal barriers, such as a lack of motivation, are a leading cause of low engagement in therapy. Digital interventions to increase motivation and readiness for change hold promise as accessible and scalable solutions; however, little is known about the range of interventions being used and their feasibility as a means to increase engagement with therapy.

OBJECTIVE

This review aimed to define the emerging field of digital interventions to enhance readiness for psychological therapy and detect gaps in the literature.

METHODS

A literature search was conducted in PubMed, PsycINFO, PsycARTICLES, Scopus, Embase, ACM Guide to Computing Literature, and IEEE Xplore Digital Library from January 1, 2006, to November 30, 2021. The PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) methodology was applied. Publications were included when they concerned a digitally delivered intervention, a specific target of which was enhancing engagement with further psychological treatment, and when this intervention occurred before the target psychological treatment.

RESULTS

A total of 45 publications met the inclusion criteria. The conditions included depression, unspecified general mental health, comorbid anxiety and depression, smoking, eating disorders, suicide, social anxiety, substance use, gambling, and psychosis. Almost half of the interventions (22/48, 46%) were web-based programs; the other formats included screening tools, videos, apps, and websites. The components of the interventions included psychoeducation, symptom assessment and feedback, information on treatment options and referrals, client testimonials, expectation management, and pro-con lists. Regarding feasibility, of the 16 controlled studies, 7 (44%) measuring actual behavior or action showed evidence of intervention effectiveness compared with controls, 7 (44%) found no differences, and 2 (12%) indicated worse behavioral outcomes. In general, the outcomes were mixed and inconclusive owing to variations in trial designs, control types, and outcome measures.

CONCLUSIONS

Digital interventions to enhance readiness for psychological therapy are broad and varied. Although these easily accessible digital approaches show potential as a means of preparing people for therapy, they are not without risks. The complex nature of stigma, motivation, and individual emotional responses toward engaging in treatment for mental health difficulties suggests that a careful approach is needed when developing and evaluating digital readiness interventions. Further qualitative, naturalistic, and longitudinal research is needed to deepen our knowledge in this area.

A Randomized Factorial Trial of Internet-Delivered Cognitive Behaviour Therapy for Post-Secondary Students: Examining Motivational Interviewing and Booster Lessons (Preprint)

Background

Internet-delivered cognitive behavioral therapy (ICBT) can improve access to mental health care for students, although high attrition rates are concerning and little is known about long-term outcomes. Motivational interviewing (MI) exercises and booster lessons can improve engagement and outcomes in face-to-face cognitive behavioral therapy.

Objective

This study aimed to examine the use of pretreatment MI exercises and booster lessons in ICBT for postsecondary students.

Methods

In this factorial trial (factor 1: web-based MI before treatment; factor 2: self-guided booster lesson 1 month after treatment), 308 clients were randomized to 1 of 4 treatment conditions, with 277 (89.9%) clients starting treatment. All clients received a 5-week transdiagnostic ICBT course (the UniWellbeing course). Primary outcomes included changes in depression, anxiety, and perceived academic functioning from before treatment to after treatment and at the 1-month and 3-month follow-ups.

Results

Overall, 54% (150/277) of students completed treatment and reported large improvements in symptoms of depression and anxiety and small improvements in academic functioning after treatment, which were maintained at the 1-month and 3-month follow-ups. Pretreatment MI did not contribute to better treatment completion or engagement, although small between-group effects favored MI for reductions in depression (Cohen d=0.23) and anxiety (Cohen d=0.25) after treatment. Only 30.9% (43/139) of students randomized to one of the booster conditions accessed the booster. Overall, no main effects were found for the booster. Subanalyses revealed that clients who accessed the booster had larger decreases in depressive symptoms (Cohen d=0.31) at the 3-month follow-up. No interactions were found between MI and the booster.

Conclusions

Rather than offering MI before treatment, clients may experience more benefits from MI exercises later in ICBT when motivation wanes. The low uptake of the self-guided booster limited our conclusions regarding its effectiveness. Future research should examine offering a booster for a longer duration after treatment, with therapist support and a longer follow-up period.

Trial Registration

ClinicalTrials.gov NCT04264585; https://clinicaltrials.gov/ct2/show/NCT04264585

The Appalachia Mind Health Initiative (AMHI): a pragmatic randomized clinical trial of adjunctive internet-based cognitive behavior therapy for treating major depressive disorder among primary care patients

BACKGROUND

Major depressive disorder (MDD) is a leading cause of disease morbidity. Combined treatment with antidepressant medication (ADM) plus psychotherapy yields a much higher MDD remission rate than ADM only. But 77% of US MDD patients are nonetheless treated with ADM only despite strong patient preferences for psychotherapy. This mismatch is due at least in part to a combination of cost considerations and limited availability of psychotherapists, although stigma and reluctance of PCPs to refer patients for psychotherapy are also involved. Internet-based cognitive behaviorial therapy (i-CBT) addresses all of these problems.

METHODS

Enrolled patients (n = 3360) will be those who are beginning ADM-only treatment of MDD in primary care facilities throughout West Virginia, one of the poorest and most rural states in the country. Participating treatment providers and study staff at West Virginia University School of Medicine (WVU) will recruit patients and, after obtaining informed consent, administer a baseline self-report questionnaire (SRQ) and then randomize patients to 1 of 3 treatment arms with equal allocation: ADM only, ADM + self-guided i-CBT, and ADM + guided i-CBT. Follow-up SRQs will be administered 2, 4, 8, 13, 16, 26, 39, and 52 weeks after randomization. The trial has two primary objectives: to evaluate aggregate comparative treatment effects across the 3 arms and to estimate heterogeneity of treatment effects (HTE). The primary outcome will be episode remission based on a modified version of the patient-centered Remission from Depression Questionnaire (RDQ). The sample was powered to detect predictors of HTE that would increase the proportional remission rate by 20% by optimally assigning individuals as opposed to randomly assigning them into three treatment groups of equal size. Aggregate comparative treatment effects will be estimated using intent-to-treat analysis methods. Cumulative inverse probability weights will be used to deal with loss to follow-up. A wide range of self-report predictors of MDD heterogeneity of treatment effects based on previous studies will be included in the baseline SRQ. A state-of-the-art ensemble machine learning method will be used to estimate HTE.

DISCUSSION

The study is innovative in using a rich baseline assessment and in having a sample large enough to carry out a well-powered analysis of heterogeneity of treatment effects. We anticipate finding that self-guided and guided i-CBT will both improve outcomes compared to ADM only. We also anticipate finding that the comparative advantages of adding i-CBT to ADM will vary significantly across patients. We hope to develop a stable individualized treatment rule that will allow patients and treatment providers to improve aggregate treatment outcomes by deciding collaboratively when ADM treatment should be augmented with i-CBT.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04120285 . Registered on October 19, 2019.

A Health Belief Model-Based Motivational Interviewing for Medication Adherence and Treatment Success in Pulmonary Tuberculosis Patients

Medication adherence behavior plays a central role in the success of tuberculosis (TB) treatment. Conventional motivation is not optimal in strengthening long-term medication adherence. A motivational interviewing (MI) communication motivation model based on the Health Belief Model (HBM) was designed with the main objective of improving medication adherence and treatment success. This study used an experimental design with a randomized posttest-only control group design. The intervention and control groups consisted of 107 TB patients each, who were selected by random cluster sampling. The study was conducted from November 2020 to June 2021 at 38 public health centers in Bali Province. The HBM-based MI model intervention was given in seven counseling sessions, pill count percentages were used to measure medication adherence, and treatment success was based on sputum examination results. Logistic regression was used to assess the effect of the intervention on medication adherence and treatment success. Logistic regression analysis showed that MI-based HBM and knowledge were the most influential variables for increasing medication adherence and treatment success. Medication adherence was 4.5 times greater (ARR = 4.51, p = 0.018) and treatment success was 3.8 times greater (ARR = 3.81, p < 0.038) in the intervention group compared to the control group, while the secondary outcome of knowledge of other factors together influenced medication adherence and treatment success. The conclusion is that the HBM-based MI communication motivation model creates a patient-centered relationship by overcoming the triggers of treatment barriers originating from the HBM construct, effectively increasing medication adherence and treatment success for TB patients, and it needs further development by involving families in counseling for consistent self-efficacy of patients in long-term treatment.

Brief online motivational interviewing pre-treatment intervention for enhancing internet-delivered cognitive behaviour therapy: A randomized controlled trial

While the efficacy of therapist-guided internet-delivered cognitive behaviour therapy (iCBT) for anxiety and depression is well-established, a significant proportion of clients show little to no improvement with this approach. Given that motivational interviewing (MI) is found to enhance face-to-face treatment of anxiety, the current trial examined potential benefits of a brief online MI intervention prior to therapist-guided iCBT. Clients applying to transdiagnostic therapist-guided iCBT in routine care were randomly assigned to receive iCBT with (n = 231) or without (n = 249) the online MI pre-treatment. Clients rated motivation at screening and pre-iCBT and anxiety and depression at pre- and post-treatment and at 13- and 25-week follow-up after enrollment. Clients in the MI plus iCBT group made more motivational statements in their emails and were enrolled in the course for a greater number of days compared to clients who received iCBT only, but did not demonstrate higher motivation after completing the MI intervention or have higher course completion. Clients in both groups, at screening and pre-iCBT, reported high levels of motivation. No statistically significant group differences were found in the rate of primary symptom change over time, with both groups reporting large reductions in anxiety and depression pre- to post-treatment (Hedges' g range = 0.96-1.11). During follow-up, clients in the iCBT only group reported additional small reductions in anxiety, whereas clients in the MI plus iCBT group did not. The MI plus iCBT group also showed small increases in depression during follow-up, whereas improvement was sustained for the iCBT only group. It is concluded that online MI does not appear to enhance client outcomes when motivation at pre-treatment is high.

Transdiagnostic Internet-delivered cognitive behaviour therapy with therapist support offered once-weekly or once-weekly supplemented with therapist support within one-business-day: Pragmatic randomized controlled trial

In routine care, internet-delivered cognitive behaviour therapy (iCBT) regularly includes therapist support delivered via secure email, but the optimal response time to emails is unknown. In this study, we compared the benefits of therapists providing support once-weekly versus therapists providing support once-weekly supplemented with a one-business-day response to all patient emails. This pragmatic randomized controlled trial included therapists employed by a specialized iCBT clinic or community mental health clinics, where providing iCBT is a secondary service. Patients with depression and/or anxiety who enrolled in transdiagnostic iCBT (5 core lessons over 8 weeks) were randomized to: 1) once-weekly support supplemented with a one-business-day response to patient emails by specialized therapists (n = 233); 2) once-weekly support also offered by specialized therapists (n = 216); or 3) once-weekly support offered by community clinic therapists (n = 226). Outcomes were measured at 8, 12, 24, and 52-weeks post-enrollment. Patient engagement and treatment experiences (e.g., treatment satisfaction, therapist alliance) were also assessed and a focus group was conducted with therapists. Supplementing once-weekly therapist support with a one-business-day response to patient emails resulted in therapists sending more emails to patients (M: 13 versus 9) and required more therapist time over treatment (M: 155 versus 109 min), but was not associated with improved outcomes, patient engagement or treatment experiences. All groups showed large improvements in symptoms of depression and anxiety maintained at 52-week follow-up, strong engagement and positive treatment experiences. Therapists viewed challenges of responding to patient emails within one-business-day to outweigh benefits. Contrary to expectations, supplementing once-weekly therapist support with a one-business-day response to all patient emails did not benefit patients and increased therapist time as well as therapist challenges when delivering iCBT in routine care.