BackgroundInternet interventions have been proposed to improve the accessibility and use of evidence-based psychological treatments. However, little is known about attitudes toward such treatments, which can be an important barrier to their use.ObjectiveThis study aimed to (1) determine attitudes toward guided internet interventions, (2) assess its acceptability compared with other internet-based formats, and (3) explore predictors of acceptance.MethodsA convenience-sample Web-based survey (N=646) assessed attitudes toward guided internet therapies (ie, perceived usefulness and helpfulness, and advantage relative to face-to-face therapy), preferences for delivery modes (ie, e-preference: guided internet interventions, unguided internet interventions, or videoconferencing psychotherapy), and potential predictors of attitudes and preferences: sociodemographics, help-seeking–related variables, attachment style, and perceived stress.ResultsAlthough most participants perceived internet interventions as useful or helpful (426/646, 65.9%), a few indicated their advantage relative to face-to-face therapy (56/646, 8.7%). Most participants preferred guided internet interventions (252/646, 39.0%) over videoconferencing psychotherapy (147/646, 22.8%), unguided internet interventions (124/646, 19.2%), and not using internet interventions (121/646, 18.8%; missing data: 1/646, 0.2%). Attachment avoidance and stress were related to e-preference (all P<.05). Moreover, preference for therapist-guided internet interventions was higher for individuals who were aware of internet-based treatment (χ26=12.8; P=.046).ConclusionsParticipants assessed therapist-guided internet interventions as helpful, but not equivalent to face-to-face therapies. The vast majority (523/646, 81.0%) of the participants were potentially willing to use internet-based approaches. In lieu of providing patients with only one specific low-intensity treatment, implementation concepts should offer several options, including guided internet interventions, but not limited to them. Conversely, our results also indicate that efforts should focus on increasing public knowledge about internet interventions, including information about their effectiveness, to promote acceptance and uptake.
Background The majority of university students with mental health problems are untreated. Only a small empirical literature exists on strategies to increase mental health service use. Aims To investigate the effects and moderators of a brief acceptance‐facilitating intervention on intention to use mental health services among university students. Method Within the German site of the World Health Organization's World Mental Health International College Student (WMH‐ICS) initiative, 1,374 university students were randomized to an intervention condition (IC; n = 664) or a control condition (CC; n = 710) that was implemented in the survey itself. Both conditions received the questions assessing mental disorders and suicidality that were included in other WMH‐ICS surveys. The IC group then additionally received: Internet‐based personalized feedback based on subject symptom severity in the domains of depression, anxiety, substance use, suicidal thoughts and behaviors, and nonsuicidal self‐injury; psychoeducation tailored to the personal symptom profile; and information about available university and community mental health services. The primary outcome was reported intention to use psychological interventions in the next semester, which was the last question in the survey. A broad range of potential moderating factors was explored. Results There was a significant main effect of the intervention with students randomized to IC, reporting significantly higher intentions to seek help in the next semester than students in the CC condition (d = 0.12, 95% CI: 0.02 to 0.23). Moderator analyses indicated that the intervention was more effective among students that fulfilled the criteria for lifetime (d = 0.34; 95% CI: −0.08 to 0.7) and 12‐month panic‐disorder (d = 0.32; 95% CI: −0.10 to 0.74) compared with those without lifetime (d = 0.11; 95% CI: 0.00 to 0.22) or 12‐month panic disorder (d = 0.11; 95% CI: 0.00 to 0.22), students with lower (d = 0.37; 95% CI: −0.77 to 1.51) than higher (d = −0.01; 95% CI: −0.36 to 0.34) self‐reported physical health, and students with nonheterosexual (d = 0.38; 95% CI: 0.08 to 0.67) compared with heterosexual (d = 0.06; 95% CI: −0.06 to 0.17) sexual orientation. The intervention had no effects among students who reported that they recognized that they had an emotional problem and “are already working actively to change it” (Stage 4 “stages of change”). Conclusions A simple acceptance‐facilitating intervention can increase intention to use mental health services, although effects, are on average, small. Future studies should investigate more personalized approaches with interventions tailored to barriers and clinical characteristics of students. In order to optimize intervention effects, the development and evaluation should be realized in designs that are powered to allow incremental value of different intervention components and tailoring strategies to be evaluated, such as in multiphase optimization designs.
A health economic outcome evaluation of an internet-based mobile-supported stress management intervention for employees.
Objectives Internet‐ and mobile‐based interventions (IMIs) offer the opportunity to deliver mental health treatments on a large scale. This randomized controlled trial evaluated the efficacy of an unguided IMI (StudiCare SAD) for university students with social anxiety disorder (SAD). Methods University students (N = 200) diagnosed with SAD were randomly assigned to an IMI or a waitlist control group (WLC) with full access to treatment as usual. StudiCare SAD consists of nine sessions. The primary outcome was SAD symptoms at posttreatment (10 weeks), assessed via the Social Phobia Scale (SPS) and the Social Interaction Anxiety Scale (SIAS). Secondary outcomes included depression, quality of life, fear of positive evaluation, general psychopathology, and interpersonal problems. Results Results indicated moderate to large effect sizes in favor of StudiCare SAD compared with WLC for SAD at posttest for the primary outcomes (SPS: d = 0.76; SIAS: d = 0.55, p < 0.001). Effects on all secondary outcomes were significant and in favor of the intervention group. Conclusion StudiCare SAD has proven effective in reducing SAD symptoms in university students. Providing IMIs may be a promising way to reach university students with SAD at an early stage with an effective treatment.
ObjectiveThis study aims at evaluating the cost-effectiveness and cost-utility of a guided and unguided internet-based intervention for chronic pain patients (ACTonPainguidedand ACTonPainunguided) compared with a waitlist control group (CG) as well as the comparative cost-effectiveness of the guided and the unguided version.DesignThis is a health economic evaluation alongside a three-arm randomised controlled trial from a societal perspective. Assessments were conducted at baseline, 9 weeks and 6 months after randomisation.SettingParticipants were recruited through online and offline strategies and in collaboration with a health insurance company.Participants302 adults (≥18 years, pain for at least 6 months) were randomly allocated to one of the three groups (ACTonPainguided, ACTonPainunguided, CG).InterventionsACTonPain consists of seven modules and is based on Acceptance and Commitment Therapy. ACTonPainguidedand ACTonPainunguidedonly differ in provision of human support.Primary and secondary outcome measuresMain outcomes of the cost-effectiveness and the cost-utility analyses were meaningful change in pain interference (treatment response) and quality-adjusted life years (QALYs), respectively. Economic evaluation estimates were the incremental cost-effectiveness and cost-utility ratio (ICER/ICUR).ResultsAt 6-month follow-up, treatment response and QALYs were highest in ACTonPainguided(44% and 0.280; mean costs = €6,945), followed by ACTonPainunguided(28% and 0.266; mean costs = €6,560) and the CG (16% and 0.244; mean costs = €6,908). ACTonPainguidedvs CG revealed an ICER of €45 and an ICUR of €604.ACTonPainunguideddominated CG. At a willingness-to-pay of €0 the probability of being cost-effective was 50% for ACTonPainguided(vs CG, for both treatment response and QALY gained) and 67% for ACTonPainunguided(vs CG, for both treatment response and QALY gained). These probabilities rose to 95% when society’s willingness-to-pay is €91,000 (ACTonPainguided) and €127,000 (ACTonPainunguided) per QALY gained. ACTonPainguidedvs ACTonPainunguidedrevealed an ICER of €2,374 and an ICUR of €45,993.ConclusionsDepending on society’s willingness-to-pay, ACTonPain is a potentially cost-effective adjunct to established pain treatment. ACTonPainunguided(vs CG) revealed lower costs at better health outcomes. However, uncertainty has to be considered. Direct comparison of the two interventions does not indicate a preference for ACTonPainguided.Trial registration numberDRKS00006183.
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