scholarly journals CANreduce 2.0 – the effects of adherence-focused guidance for Internet self-help among cannabis misusers: results of a three-arm randomized controlled trial (Preprint)

2021 ◽  
Author(s):  
Christian Baumgartner ◽  
Michael Patrick Schaub ◽  
Andreas Wenger ◽  
Doris Malischnig ◽  
Mareike Augsburger ◽  
...  

BACKGROUND Despite increasing demand for treatment among cannabis misusers in many countries, most misusers are not in treatment. Internet-based self-help offers an alternative for those hesitant to seek face-to-face therapy, though low-effectiveness and adherence issues often arise. Through adherence-focused guidance enhancement (AFGE), we aimed to increase adherence to, and the effectiveness of Internet-based self-help among cannabis misusers. OBJECTIVE A three-arm randomized controlled trial was conducted comparing the effectiveness of (1) an AFGE Internet-based self-help intervention with social presence (AFGE-SP), (2) a similar intervention with an impersonal service team (AFGE-ST), and (3) Internet access as usual (IAU, controls). METHODS From July 2016—May 2019, 575 cannabis misusers (70.6% males, mean age=28.3) not otherwise in treatment were recruited from the general population. The primary outcome was cannabis-use days over the preceding 30 days. Secondary outcomes included cannabis-dependence severity, changes in cannabis misuse disorder (CMD) symptoms, and intervention adherence. RESULTS All groups exhibited reduced cannabis-use days after 3 months (AFGE-SP: -8.2; AFGE-ST: -9.8; IAU: -4.2). AFGE-ST participants reported significantly fewer cannabis-use days than IAU controls (P = .01, d = .60); a similar reduction in the AFGE-SP (d=.40) group failed to achieve significance (P =.07). There was no significant difference between the two intervention groups. AFGE-ST patients also exhibited superior improvements in cannabis-use disorder, cannabis-dependence severity, and general anxiety symptoms after three months. CONCLUSIONS Adding an impersonal service team to the AFGE Internet-based self-help intervention significantly reduced cannabis use, cannabis use disorder, dependence severity, and general anxiety symptoms. CLINICALTRIAL http://www.isrctn.com/ISRCTN11086185

2019 ◽  
Author(s):  
John Powell ◽  
Veronika Williams ◽  
Helen Atherton ◽  
Kylie Bennett ◽  
Yaling Yang ◽  
...  

BACKGROUND Many people are accessing digital self-help for mental health problems, often with little evidence of effectiveness. Social anxiety is one of the most common sources of mental distress in the population, and many people with symptoms do not seek help for what represents a significant public health problem. OBJECTIVE This study aimed to evaluate the effectiveness of a self-guided cognitive behavioral internet intervention for people with social anxiety symptoms in the general population. METHODS We conducted a two-group randomized controlled trial in England between May 11, 2016, and June 27, 2018. Adults with social anxiety symptoms who were not receiving treatment for social anxiety were recruited using online advertisements. All participants had unrestricted access to usual care and were randomized in a 1:1 ratio to either a Web-based unguided self-help intervention based on cognitive behavioral principles or a waiting list control group. All outcomes were collected through self-report online questionnaires. The primary outcome was the change in 17-item Social Phobia Inventory (SPIN-17) score from baseline to 6 weeks using a linear mixed-effect model that used data from all time points (6 weeks, 3 months, 6 months, and 12 months). RESULTS A total of 2122 participants were randomized, and 6 were excluded from analyses because they were ineligible. Of the 2116 eligible randomized participants (mean age 37 years; 80.24%, 1698/2116 women), 70.13% (1484/2116) had follow-up data available for analysis, and 56.95% (1205/2116) had data on the primary outcome, although attrition was higher in the intervention arm. At 6 weeks, the mean (95% CI) adjusted difference in change in SPIN-17 score in the intervention group compared with control was −1.94 (−3.13 to −0.75; <italic>P</italic>=.001), a standardized mean difference effect size of 0.2. The improvement was maintained at 12 months. Given the high dropout rate, sensitivity analyses explored missing data assumptions, with results that were consistent with those of the primary analysis. The economic evaluation demonstrated cost-effectiveness with a small health status benefit and a reduction in health service utilization. CONCLUSIONS For people with social anxiety symptoms who are not receiving other forms of help, this study suggests that the use of an online self-help tool based on cognitive behavioral principles can provide a small improvement in social anxiety symptoms compared with no intervention, although dropout rates were high. CLINICALTRIAL ClinicalTrials.gov NCT02451878; https://clinicaltrials.gov/ct2/show/NCT02451878


10.2196/16804 ◽  
2020 ◽  
Vol 22 (1) ◽  
pp. e16804
Author(s):  
John Powell ◽  
Veronika Williams ◽  
Helen Atherton ◽  
Kylie Bennett ◽  
Yaling Yang ◽  
...  

Background Many people are accessing digital self-help for mental health problems, often with little evidence of effectiveness. Social anxiety is one of the most common sources of mental distress in the population, and many people with symptoms do not seek help for what represents a significant public health problem. Objective This study aimed to evaluate the effectiveness of a self-guided cognitive behavioral internet intervention for people with social anxiety symptoms in the general population. Methods We conducted a two-group randomized controlled trial in England between May 11, 2016, and June 27, 2018. Adults with social anxiety symptoms who were not receiving treatment for social anxiety were recruited using online advertisements. All participants had unrestricted access to usual care and were randomized in a 1:1 ratio to either a Web-based unguided self-help intervention based on cognitive behavioral principles or a waiting list control group. All outcomes were collected through self-report online questionnaires. The primary outcome was the change in 17-item Social Phobia Inventory (SPIN-17) score from baseline to 6 weeks using a linear mixed-effect model that used data from all time points (6 weeks, 3 months, 6 months, and 12 months). Results A total of 2122 participants were randomized, and 6 were excluded from analyses because they were ineligible. Of the 2116 eligible randomized participants (mean age 37 years; 80.24%, 1698/2116 women), 70.13% (1484/2116) had follow-up data available for analysis, and 56.95% (1205/2116) had data on the primary outcome, although attrition was higher in the intervention arm. At 6 weeks, the mean (95% CI) adjusted difference in change in SPIN-17 score in the intervention group compared with control was −1.94 (−3.13 to −0.75; P=.001), a standardized mean difference effect size of 0.2. The improvement was maintained at 12 months. Given the high dropout rate, sensitivity analyses explored missing data assumptions, with results that were consistent with those of the primary analysis. The economic evaluation demonstrated cost-effectiveness with a small health status benefit and a reduction in health service utilization. Conclusions For people with social anxiety symptoms who are not receiving other forms of help, this study suggests that the use of an online self-help tool based on cognitive behavioral principles can provide a small improvement in social anxiety symptoms compared with no intervention, although dropout rates were high. Trial Registration ClinicalTrials.gov NCT02451878; https://clinicaltrials.gov/ct2/show/NCT02451878


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