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BACKGROUND: Despite the success of gold standard cognitive-behavioral therapy for problem and disordered gambling, the majority of individuals with gambling problems do not seek or receive professional treatment. Thus, the development of less intrusive self-directed interventions has been encouraged. Bibliotherapy for problem gambling has shown promise, both alone and in combination with motivational interviews, but there is still a lack of online self-directed intervention research. The current randomized controlled trial proposes to assess the additive benefit of a single digital motivational interview delivered in conjunction with an online self-directed treatment program for problem gambling and gambling disorder. METHODS: A two-arm randomized controlled trial will be conducted, wherein eligible participants (N=270) will be recruited across Canada via internet advertisements posted to several platforms. All participants will receive access to an online self-directed gambling intervention program. Participants will be randomly assigned to either complete the online program alone or receive a digital motivational interview, conducted through an online audioconferencing platform (i.e., Microsoft Teams) to supplement the online program. The primary outcomes of gambling severity, frequency, and expenditures will be tracked along with secondary outcomes (i.e., depression, anxiety, general distress, alcohol use, and online program user data) over a 24-month period. It is expected that participants in both groups will experience a reduction in symptoms across the board, but more substantial improvements will be observed in the group that receives a supplemental motivational interview. DISCUSSION: The results of this trial will expand upon prior gambling intervention research by informing best practices for the provision of online self-help for problem gambling. TRIAL REGISTRATION: ISRCTN ISRCTN13009468 . Registered on 7 July 2020.
Subject(s)
Cognitive Behavioral Therapy , Gambling , Internet-Based Intervention , Motivational Interviewing , Anxiety Disorders , Gambling/therapy , Humans , Randomized Controlled Trials as TopicABSTRACT
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.
Subject(s)
Anxiety/therapy , Cost-Benefit Analysis/methods , Internet-Based Intervention/trends , Adult , Female , Humans , Internet , MaleABSTRACT
INTRODUCTION: Hazardous alcohol consumption is common among people experiencing depression, often acting to exacerbate depressive symptoms. While many people with these co-occurring disorders do not seek face-to-face treatment, they do seek help online. There are effective internet interventions that target hazardous alcohol consumption or depression separately but none that combine these online interventions without the involvement of a therapist. In order to realise the potential of internet interventions, we need to develop an evidence base supporting the efficacy of internet interventions for co-occurring depression and hazardous alcohol use without any therapist involvement. This study aims to evaluate the effects on drinking, and on depressive symptoms, of combining an internet intervention targeting hazardous alcohol consumption with one for depression. METHODS AND ANALYSIS: A double blinded, parallel group randomised controlled trial will be used. Participants with current depression who also drink in a hazardous fashion (n=986) will be recruited for a study to 'help improve an online intervention for depression'. Participants will be randomised either to receive an established online intervention for depression (MoodGYM) or to receive MoodGYM plus a brief internet intervention for hazardous alcohol consumption (Check Your Drinking; CYD). Participants will be contacted 3 and 6 months after receiving the interventions to assess changes in drinking and depression symptoms. It is predicted that participants receiving the CYD intervention in addition to MoodGYM will report greater postintervention reductions in alcohol consumption and depressive symptoms compared with those who received MoodGYM only. Hypothesised mediation and moderation effects will also be investigated. Using an intention-to-treat basis for the analyses, the hypotheses will be tested using a generalised linear hypothesis framework, and longitudinal analyses will use either generalised linear mixed modelling or generalised estimating equation approach where appropriate. ETHICS AND DISSEMINATION: This research comprises the crucial first steps in developing lower-cost and efficacious internet interventions for people suffering from depression who also drink in a hazardous fashion-promoting the widespread availability of care for those in need. This study has been approved by the standing ethics review committee of the Centre for Addiction and Mental Health, and findings will be disseminated in the form of at least one peer-reviewed article and presentations at conferences. TRIAL REGISTRATION NUMBER: NCT03421080; Pre-results.
Subject(s)
Alcoholism/therapy , Cognitive Behavioral Therapy , Depression/therapy , Depressive Disorder/therapy , Help-Seeking Behavior , Internet , Psychotherapy, Brief , Alcohol Drinking , Alcoholism/psychology , Depression/psychology , Depressive Disorder/psychology , Double-Blind Method , Humans , Patient Health Questionnaire , Treatment OutcomeABSTRACT
BACKGROUND: The current randomized controlled trial seeks to evaluate whether providing access to an Internet intervention for problem drinking in addition to an Internet intervention for problem gambling is beneficial for participants with gambling problems who do or do not have co-occurring problem drinking. METHODS: Potential participants will be recruited online via a comprehensive advertisement strategy, if they meet the criteria for problem gambling. As part of the baseline measures, problem drinking will also be assessed. Eligible participants (N = 280) who agree to partake in the study and to be followed up for 6 months will be randomized into one of two versions of an Internet intervention for gamblers: an intervention that targets only gambling issues (G-only) and one that combines a gambling intervention with an intervention for problem drinking (G + A). For problem gamblers who exhibit co-occurring problem drinking, it is predicted that participants who are provided access to the G + A intervention will demonstrate a significantly greater level of reduction in gambling outcomes at 6 months compared to those provided access to the G-only intervention. DISCUSSION: This trial will expand upon the current research on Internet interventions for addictions and inform the development of treatments for those with co-occurring problem drinking and gambling. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03323606 . Registered on 24 October 2017.
Subject(s)
Alcohol Abstinence , Alcohol Drinking/prevention & control , Behavior, Addictive/prevention & control , Gambling/prevention & control , Internet , Therapy, Computer-Assisted/methods , Alcohol Drinking/adverse effects , Alcohol Drinking/psychology , Behavior, Addictive/diagnosis , Behavior, Addictive/psychology , Comorbidity , Double-Blind Method , Female , Gambling/diagnosis , Gambling/psychology , Humans , Male , Manitoba , Randomized Controlled Trials as Topic , Time Factors , Treatment OutcomeABSTRACT
BACKGROUND: University students experience high levels of mental health problems; however, very few seek professional help. Teaching staff within the university are well placed to assist students to seek support. AIMS: To investigate university teaching staff experiences of, and training needs around, assisting students with mental health problems. METHOD: A total of 224 teaching staff at the Australian National University completed an anonymous online survey (16.4% response rate from n â¼ 1370). Data on mental health training needs, and experiences of assisting students with mental health problems were described using tabulation. Qualitative data were analysed using thematic analysis. RESULTS: Most teaching staff (70.1-82.2%) reported at least moderate confidence in their ability to provide emotional support for students. However, many staff (60.0%) felt under-equipped overall to deal with student mental health problems; almost half (49.6%) reported they did not have access to formal training. Specific actions described in assisting students included referrals, offering support, or consulting others for advice. CONCLUSION: Given the high rates of students who approach staff about mental health problems, there is a critical need to provide and promote both formal mental health response training and explicit guidelines for staff on when, how, and where to refer students for help.
Subject(s)
Faculty/education , Faculty/psychology , Mental Health/education , Students/psychology , Adult , Female , Health Knowledge, Attitudes, Practice , Humans , Male , Mental Disorders , Middle Aged , Staff Development , UniversitiesABSTRACT
OBJECTIVE: This pilot study examined the feasibility, safety, and effectiveness of using an online computerized cognitive behavioral therapy (CBT) for treating Chinese patients with depression. METHODS: Seventy-five Chinese patients with depression in outpatient clinics were randomized into a 5-week intervention. The intervention group received the Chinese translated version of MoodGYM in addition to usual treatment, and the control group continued with usual treatment. Participants completed the 20-item Center for Epidemiologic Studies Depression Scale (CES-D) pre- and post-intervention. RESULTS: We conducted multivariate linear regression analyses to compare the change in CES-D scores for completers after the intervention. Seventy-eight percent (n=29) of participants in the intervention group and 84% (n=32) of patients in the control group completed the post-treatment assessments, and no serious adverse events were reported. Results indicated that while both groups significantly improved at post test, the intervention group improved significantly more than the control group (t(59)=2.37, p=0.02). CONCLUSION: Computerized CBT can be a cost-effective adjunct to medication treatment, particularly in areas with limited access to mental health services. The use of online computerized CBT has been found to be effective in many studies in Western countries, but has not been studied among Chinese outpatients. This study suggests that online computerized CBT is acceptable, and that MoodGYM is a feasible and efficacious augmentative treatment, specifically when used within an outpatient clinic population. With this small sample size we were able to demonstrate that the addition of MoodGYM to usual care improved treatment outcomes for outpatients with depression in China.
Subject(s)
Cognitive Behavioral Therapy/methods , Depression/therapy , Depressive Disorder/therapy , Outcome Assessment, Health Care , Therapy, Computer-Assisted/methods , Adult , China , Cost-Benefit Analysis , Feasibility Studies , Female , Humans , Internet , Male , Outpatients , Pilot Projects , TranslatingABSTRACT
BACKGROUND: Internet support groups (ISGs) for mental ill-health are common but little is known about the characteristics of users, the usage and predictors of ISG usage and if and how these change over time. AIM: This study evaluated the attributes of a publically accessible ISG for depression and other mental disorders including: (1) the demographic and other characteristics of its users; (2) their patterns of usage; and (3) the factors which predict posts to and retention on the ISG. METHOD: User characteristics (gender, age, user type, country and location of residence) were collected at the time of registration on the ISG BlueBoard (blueboard.anu.edu.au). All board log data were downloaded for the period October 2008 to May 2014. Predictors of post frequency and retention on the board were examined using logistic regressions. Other data were analysed using descriptive statistics. RESULTS: 2932 users contributed 131,004 posts to the ISG. The majority were female, aged 20 to 34 years, and mental health consumers. Although most users were city dwellers, 19% resided in rural or remote regions. Frequency of posts and retention on the board varied across users, with a moderate association between retention and number of posts. Growth in posts substantially exceeded the growth in new users over the monitoring period. Multivariate analysis demonstrated that consumers posted more often and remained longer than carers or others, and that younger users posted less often; however, the model predicted very little of the variance. CONCLUSIONS: A small minority of active users are sufficient to ensure the sustainability and growth of an online mental health ISG. Further research is required to understand why so many support group members limit their contributions to one or a very small number of posts and what factors predict and promote active engagement and long-term retention in virtual mental health communities.
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DESIGN AND OBJECTIVE: This paper describes the protocol for a large-scale pragmatic, randomised controlled trial and economic evaluation to investigate the effectiveness and cost-effectiveness of the self-directed E-Couch social anxiety module versus a waiting list control condition, for reducing sub-clinical social anxiety symptoms in the general population. STUDY POPULATION: Community-based adults (aged 18+) with social anxiety symptoms that do not meet the criteria for social anxiety disorder recruited via a direct-to-consumer advertisement on national websites. INTERVENTION AND CONTROL: Intervention is the self-guided E-Couch social anxiety module. Control group participants are placed on a waiting list to receive the intervention at the end of the trial. Both groups receive email and text message reminders. OUTCOME MEASURES: The primary outcome will be change in self-reported social anxiety score using the Social Phobia Inventory (SPIN). Secondary outcomes will be the changes in the following self-report measures: Brief Fear of Negative Evaluation scale (BFNE-S); depression (CES-D); mental wellbeing (SWEMWEBS); health status (SF36); use of health services; safety events; and adherence, retention, and attrition rates. All measures will be administered at baseline, 6 weeks, and 3, 6 and 12 months. ANALYSIS: A mixed effects model will be used to analyse the effect of the intervention on the primary and secondary outcomes (intention to treat analysis). Secondary analyses will explore moderators and mediators of effect. A prospective economic evaluation, conducted from a NHS and social care perspective, will provide estimates of cost utility and cost-effectiveness. An interview study will be conducted with 20 participants to explore issues including acceptability, adherence, retention and attrition. TRIAL REGISTRATION NUMBERS: NCT02451878 and ISRCTN15819951.
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OBJECTIVE: Suboptimal visit-to-registration rates limit the reach and potential impact of online health interventions. In this study, we examined whether testimonials presented during a new-user registration process could increase the uptake rates of MoodGYM, an open-access automated intervention designed to reduce the symptoms of depression. METHODS: We conducted a three-armed parallel randomised controlled trial on the MoodGYM website involving variations of the first page of the registration process. Spontaneous visitors saw either the current pre-registration content, the current content supplemented by a first-person past user testimonial or the current content accompanied by a testimonial from a third-party health professional. The primary outcome measure was the proportion of visitors seeing each version who completed registration. RESULTS: A total of 14,267 visits were recorded across the three conditions. The past user, health professional and control condition registration rates were 45.6%, 45.5% and 45.5% respectively, indicating that there was no effect of registration content on registration rate. (p > 0.05). CONCLUSIONS: There may be limited use for testimonials in well-established interventions that have programme benefits clearly stated and presented in other forms. However, we cannot exclude the possibility that testimonial effects might be moderated by positioning or other elements within the registration flow or by visitor source. Further research is required to examine these factors and, more broadly, assess whether modifications to other aspects of the registration process can improve visit-to-registration rates.
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BACKGROUND: The majority of content in an Internet Support Group (ISG) is contributed by 1 % of the users ('super users'). Computational methods, such as topic modelling, can provide a large-scale quantitative objective description of this content. Such methods may provide a new perspective on the nature of engagement on ISGs including the role of super users and their possible effect on other users. METHODS: A topic model was computed for all posts (N = 131,004) in the ISG BlueBoard using Latent Dirichlet Allocation. A model containing 25 topics was selected on the basis of intelligibility as determined by diagnostic metrics and qualitative investigation. This model yielded 21 substantive topics for further analysis. Two chi-square tests were conducted separately for each topic to ascertain: (i) if the odds of super users' and other users' posting differed for each topic; and (ii) if for super users the odds of posting differed depending on whether the response was to a super user or to another user. RESULTS: The 21 substantive topics covered a range of issues related to mental health and peer-support. There were significantly higher odds that super users wrote content on 13 topics, with the greatest effects being for Parenting Role (OR [95%CI] = 7.97 [7.85-8.10]), Co-created Fiction (4.22 [4.17-4.27]), Mental Illness (3.13 [3.11-3.16]) and Positive Change (2.82 [2.79-2.84]). There were significantly lower odds for super users on 7 topics, with the greatest effects being for the topics Depression (OR = 0.27 [0.27-0.28]), Medication (0.36 [0.36-0.37]), Therapy (0.55 [0.54-0.55]) and Anxiety (0.55 [0.55-0.55]). However, super users were significantly more likely to write content on 5 out of these 7 topics when responding to other users than when responding to fellow super users. CONCLUSIONS: The findings suggest that super users serve the role of emotionally supportive companions with a focus on topics broadly resembling the consumer/carer model of recovery. Other users engage in topics with a greater focus on experiential knowledge, disclosure and informational support, a pattern resembling the clinical symptom-focussed approach to recovery. However, super users modify their content in response to other users in a manner consistent with being 'active help providers'.
Subject(s)
Internet , Mental Health , Models, Psychological , Psychotherapy, Group/methods , Self-Help Groups , Adult , Chi-Square Distribution , Humans , Mental Disorders/therapy , Self-Help Groups/organization & administration , Self-Help Groups/statistics & numerical data , Social SupportABSTRACT
BACKGROUND: Comorbidity between problem gambling and depression or anxiety is common. Further, the treatment needs of people with co-occurring gambling and mental health symptoms may be different from those of problem gamblers who do not have a co-occurring mental health concern. The current randomized controlled trial (RCT) will evaluate whether there is a benefit to providing access to mental health Internet interventions (G + MH intervention) in addition to an Internet intervention for problem gambling (G-only intervention) in participants with gambling problems who do or do not have co-occurring mental health symptoms. METHODS: Potential participants will be screened using an online survey to identify participants meeting criteria for problem gambling. As part of the baseline screening process, measures of current depression and anxiety will be assessed. Eligible participants agreeing (N = 280) to take part in the study will be randomized to one of two versions of an online intervention for gamblers - an intervention that just targets gambling issues (G-only) versus a website that contains interventions for depression and anxiety in addition to an intervention for gamblers (G + MH). It is predicted that problem gamblers who do not have co-occurring mental health symptoms will display no significant difference between intervention conditions at a six-month follow-up. However, for those with co-occurring mental health symptoms, it is predicted that participants receiving access to the G + MH website will display significantly reduced gambling outcomes at six-month follow-up as compared to those provided with G-only website. DISCUSSION: The trial will produce information on the best means of providing online help to gamblers with and without co-occurring mental health symptoms. TRIAL REGISTRATION: ClinicalTrials.gov NCT02800096 ; Registration date: June 14, 2016.
Subject(s)
Gambling/therapy , Internet , Mental Disorders/complications , Adolescent , Adult , Behavior Therapy , Comorbidity , Female , Gambling/complications , Humans , Male , Mental Health , Research Design , Young AdultABSTRACT
BACKGROUND: Few studies have examined modifiable psychosocial risk factors for mental disorders among university students, and of these, none have employed measures that correspond to clinical diagnostic criteria. The aim of this study was to examine psychosocial and demographic risk factors for major depression and generalised anxiety disorder (GAD) in a sample of Australian university students. METHODS: An anonymous web-based survey was distributed to undergraduate and postgraduate students at a mid-sized Australian university. A range of psychosocial and demographic risk factors were measured, and logistic regression models were used to examine significant predictors of major depression and GAD. RESULTS: A total of 611 students completed the survey. The prevalence of major depression and GAD in the sample was 7.9 and 17.5 %, respectively. In terms of demographic factors, the risk of depression was higher for students in their first year of undergraduate study, and the risk of GAD was higher for female students, those who moved to attend university, and students experiencing financial stress. In terms of psychosocial factors, students with experience of body image issues and lack of confidence were at significantly greater risk of major depression, and feeling too much pressure to succeed, lack of confidence, and difficulty coping with study was significantly associated with risk of GAD. CONCLUSIONS: University students experience a range of unique psychosocial stressors that increase their risk of major depression and GAD, in addition to sociodemographic risk factors. It is important to examine psychosocial factors, as these are potentially modifiable and could be the focus of university-specific mental health interventions.
Subject(s)
Anxiety Disorders/epidemiology , Depressive Disorder, Major/epidemiology , Students/psychology , Adolescent , Adult , Australia/epidemiology , Female , Humans , Male , Prevalence , Risk Factors , Sex Factors , Universities , Young AdultABSTRACT
BACKGROUND: Little is known about the community structure of mental health Internet support groups, quantitatively. A greater understanding of the factors, which lead to user interaction, is needed to explain the design information of these services and future research concerning their utility. OBJECTIVE: A study was conducted to determine the characteristics of users associated with the subgroup community structure of an Internet support group for mental health issues. METHODS: A social network analysis of the Internet support group BlueBoard (blueboard.anu.edu.au) was performed to determine the modularity of the community using the Louvain method. Demographic characteristics age, gender, residential location, type of user (consumer, carer, or other), registration date, and posting frequency in subforums (depression, generalized anxiety, social anxiety, panic disorder, bipolar disorder, obsessive compulsive disorder, borderline personality disorder, eating disorders, carers, general (eg, "chit chat"), and suggestions box) of the BlueBoard users were assessed as potential predictors of the resulting subgroup structure. RESULTS: The analysis of modularity identified five main subgroups in the BlueBoard community. Registration date was found to be the largest contributor to the modularity outcome as observed by multinomial logistic regression. The addition of this variable to the final model containing all other factors improved its classification accuracy by 46.3%, that is, from 37.9% to 84.2%. Further investigation of this variable revealed that the most active and central users registered significantly earlier than the median registration time in each group. CONCLUSIONS: The five subgroups resembled five generations of BlueBoard in distinct eras that transcended discussion about different mental health issues. This finding may be due to the activity of highly engaged and central users who communicate with many other users. Future research should seek to determine the generalizability of this finding and investigate the role that highly active and central users may play in the formation of this phenomenon.
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BACKGROUND: University students experience high levels of mental health problems yet very few seek professional help. Web-based mental health interventions may be useful for the university student population. However, there are few published qualitative studies that have examined the perceived benefits and drawbacks of seeking help for mental health problems on the Internet from the perspective of university students. OBJECTIVE: To investigate the attitudes of university students on mental health help-seeking on the Internet. METHODS: A total of 19 university students aged 19-24 years participated in 1 of 4 focus groups to examine their views toward help-seeking for mental health problems on the Internet. RESULTS: Perceived concerns about Web-based help-seeking included privacy and confidentiality, difficulty communicating on the Internet, and the quality of Web-based resources. Potential benefits included anonymity/avoidance of stigma, and accessibility. Participants reported mixed views regarding the ability of people with similar mental health issues to interact on the Internet. CONCLUSIONS: These factors should be considered in the development of Web-based mental health resources to increase acceptability and engagement from university students.
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BACKGROUND: Depression and anxiety interfere with an individual's quality of life and result in substantial economic costs to the workplace through lost productivity. The internet offers an unparalleled opportunity for the large scale, cost-effective delivery of mental health awareness and destigmatisation programs in the workplace. However, to date high quality assessments of the effectiveness of such workplace programs have been confined to health professional settings. The current study reports the effectiveness of Mental Health Guru (MH-Guru), a two-module online mental health workplace induction program. METHODS: A total of 507 employees from a large multi-departmental government workplace were randomised to a 2-week online depression and anxiety educational program (Mental Health Guru; MH-Guru), or a Wait List Control condition. Participants completed online surveys at baseline, 1 week post-intervention and at 6-month follow-up. Primary outcome measures included depression and anxiety literacy, personal stigma about depression and anxiety, and help seeking intentions for anxiety and depression at post-test. Secondary measures included help-seeking attitudes and self-reported help seeking behaviour. Satisfaction measures were also collected. RESULTS: Dropout at post intervention was 26.7% and 21.0% for the MH-Guru and Control conditions respectively. Relative to Control, MH-Guru participants showed significantly greater improvements in depression and anxiety literacy at post intervention. Between group standardized effect sizes at post-test and 6-months were 0.78 and 0.81 for depression literacy and 0.80 and 0.79 for anxiety literacy. Compared to the Control participants, the MH-Guru group also showed significantly greater reductions in depression and anxiety personal stigma. Between group effect sizes in stigma for depression were - 0.56 and - 0.47 at post-test and 6-months respectively and - 0.42 at both time points for anxiety. The MH-Guru intervention was not associated with a differentially greater increase in anxiety or depression help-seeking intentions or improvement in help seeking attitudes compared to the Control group. However, self-reported help-seeking behaviour was significantly greater in the MH-Guru group at post-test. In addition, the MH-Guru group showed greater intentions to seek help for depression from the Internet at 6-month follow-up. Satisfaction items suggested that the program was acceptable to employees. CONCLUSIONS: Brief online programs such as MH-Guru have the potential to play an important role in increasing mental health awareness and decreasing stigmatizing attitudes in the workplace, and by extension the general community.
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BACKGROUND: Help seeking for mental health problems among university students is low, and Internet-based interventions such as virtual clinics have the potential to provide private, streamlined, and high quality care to this vulnerable group. OBJECTIVE: The objective of this study was to conduct focus groups with university students to obtain input on potential functions and features of a university-specific virtual clinic for mental health. METHODS: Participants were 19 undergraduate students from an Australian university between 19 and 24 years of age. Focus group discussion was structured by questions that addressed the following topics: (1) the utility and acceptability of a virtual mental health clinic for students, and (2) potential features of a virtual mental health clinic. RESULTS: Participants viewed the concept of a virtual clinic for university students favorably, despite expressing concerns about privacy of personal information. Participants expressed a desire to connect with professionals through the virtual clinic, for the clinic to provide information tailored to issues faced by students, and for the clinic to enable peer-to-peer interaction. CONCLUSIONS: Overall, results of the study suggest the potential for virtual clinics to play a positive role in providing students with access to mental health support.
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BACKGROUND: Research into e-mental health technologies has developed rapidly in the last 15 years. Applications such as Internet-delivered cognitive behavioral therapy interventions have accumulated considerable evidence of efficacy and some evidence of effectiveness. These programs have achieved similar outcomes to face-to-face therapy, while requiring much less clinician time. There is now burgeoning interest in integrating e-mental health resources with the broader mental health delivery system, particularly in primary care. The Australian government has supported the development and deployment of e-mental health resources, including websites that provide information, peer-to-peer support, automated self-help, and guided interventions. An ambitious national project has been commissioned to promote key resources to clinicians, to provide training in their use, and to evaluate the impact of promotion and training upon clinical practice. Previous initiatives have trained clinicians to use a single e-mental health program or a suite of related programs. In contrast, the current initiative will support community-based service providers to access a diverse array of resources developed and provided by many different groups. OBJECTIVE: The objective of this paper was to develop a conceptual framework to support the use of e-mental health resources in routine primary health care. In particular, models of clinical practice are required to guide the use of the resources by diverse service providers and to inform professional training, promotional, and evaluation activities. METHODS: Information about service providers' use of e-mental health resources was synthesized from a nonsystematic overview of published literature and the authors' experience of training primary care service providers. RESULTS: Five emerging clinical practice models are proposed: (1) promotion; (2) case management; (3) coaching; (4) symptom-focused treatment; and (5) comprehensive therapy. We also consider the service provider skills required for each model and the ways that e-mental health resources might be used by general practice doctors and nurses, pharmacists, psychologists, social workers, occupational therapists, counselors, and peer workers. CONCLUSIONS: The models proposed in the current paper provide a conceptual framework for policy-makers, researchers and clinicians interested in integrating e-mental health resources into primary care. Research is needed to establish the safety and effectiveness of the models in routine care and the best ways to support their implementation.
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BACKGROUND: There is a growing need to develop online services for university students with the capacity to complement existing services and efficiently address student mental health problems. Previous research examining the development and acceptability of online interventions has revealed that issues such as privacy critically impact user willingness to engage with these services. OBJECTIVE: To explore university student perspectives on privacy issues related to using an online mental health service within the context of the development of an online, university-based virtual mental health clinic. METHODS: There were two stages of data collection. The first stage consisted of four 1.5-hour focus groups conducted with university students (n=19; 10 female, 9 male, mean age = 21.6 years) to determine their ideas about the virtual clinic including privacy issues. The second stage comprised three 1-hour prototype testing sessions conducted with university students (n=6; 3 male, 3 female, mean age = 21.2 years) using participatory design methods to develop and refine a service model for the virtual clinic and determine student views on privacy within this context. RESULTS: The students raised a number of issues related to privacy in relation to the development of the university virtual clinic. Major topics included the types of personal information they would be willing to provide (minimal information and optional mental health data), concern about potential access to their personal data by the university, the perceived stigma associated with registering for the service, and privacy and anonymity concerns related to online forums contained within the virtual clinic. CONCLUSIONS: Students would be more comfortable providing personal information and engaging with the virtual clinic if they trust the privacy and security of the service. Implications of this study include building the clinic in a flexible way to accommodate user preferences.
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BACKGROUND: The use of amphetamine-type stimulants (ATS) places a large burden on health services. OBJECTIVE: The aim was to evaluate the effectiveness of a self-guided Web-based intervention ("breakingtheice") for ATS users over 6 months via a free-to-access site. METHODS: We conducted a randomized trial comparing a waitlist control with a fully automated intervention containing 3 modules derived from cognitive behavioral therapy and motivation enhancement. The main outcome was self-reported ATS use in the past 3 months assessed at 3- and 6-month follow-ups using the Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST). Secondary outcomes were help-seeking intentions (general help-seeking questionnaire), actual help seeking (actual help-seeking questionnaire), psychological distress (Kessler 10), polydrug use (ASSIST), quality of life (European Health Interview Survey), days out of role, and readiness to change. Follow-up data were evaluated using an intention-to-treat (ITT) analysis with a group by time interaction. RESULTS: We randomized 160 people (intervention: n=81; control: n=79). At 6 months, 38 of 81 (47%) intervention and 41 of 79 (52%) control participants provided data. ATS scores significantly declined for both groups, but the interaction effect was not significant. There were significant ITT time by group interactions for actual help seeking (rate ratio [RR] 2.16; d=0.45) and help-seeking intentions (RR 1.17; d=0.32), with help seeking increasing for the intervention group and declining for the control group. There were also significant interactions for days completely (RR 0.50) and partially (RR 0.74) out of role favoring the intervention group. However, 37% (30/81) of the intervention group did not complete even 1 module. CONCLUSIONS: This self-guided Web-based intervention encouraged help seeking associated with ATS use and reduced days out of role, but it did not reduce ATS use. Thus, this program provides a means of engaging with some sections of a difficult-to-reach group to encourage treatment, but a substantial minority remained disengaged. TRIAL REGISTRATION: Australian and New Zealand Clinical Trials Registry: ACTRN12611000947909; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=343307 (Archived by WebCite at http://www.webcitation.org/6Y0PGGp8q).
Subject(s)
Amphetamines , Central Nervous System Stimulants , Internet , Substance-Related Disorders/prevention & control , Adult , Amphetamine , Cognitive Behavioral Therapy , Female , Humans , Intention to Treat Analysis , Male , Patient Acceptance of Health Care , Quality of Life , Surveys and Questionnaires , Young AdultABSTRACT
BACKGROUND: University students have high levels of tobacco and other drug use, yet they are unlikely to seek traditional care. Technology-based interventions are highly relevant to this population. This paper comprises a systematic review and meta-analysis of published randomized trials of technology-based interventions evaluated in a tertiary (university/college) setting for tobacco and other drug use (excluding alcohol). It extends previous reviews by using a broad definition of technology. METHODS: PubMed, PsycInfo, and the Cochrane databases were searched using keywords, phrases, and MeSH terms. Retrieved abstracts (n = 627) were double screened and coded. Included studies met the following criteria: (1) the study was a randomized trial or a randomized controlled trial (RCT); (2) the sample was composed of students attending a tertiary (e.g., university, college) institution; (3) the intervention was either delivered by or accessed using a technological device or process (e.g., computer/internet, telephone, mobile short message services [SMS]); (4) the age range or mean of the sample was between 18 and 25 years; and (5) the intervention was designed to alter a drug use outcome relating to tobacco or other drugs (excluding alcohol). RESULTS: A total of 12 papers met inclusion criteria for the current review. The majority of included papers examined tobacco use (n = 9; 75%), two studies targeted marijuana use (17%); and one targeted stress, marijuana, alcohol, and tobacco use. A quantitative meta-analysis was conducted on the tobacco use studies using an abstinence outcome measure (n = 6), demonstrating that the interventions increased the rate of abstinence by 1.5 times that of controls (Risk Ratio [RR] = 1.54; 95% Confidence Interval [CI] = 1.20-1.98). Across all 12 studies, a total of 20 technology-based interventions were reviewed. A range of technology was employed in the interventions, including stand-alone computer programs (n = 10), internet (n = 5), telephone (n = 3), and mobile SMS (n = 2). CONCLUSIONS: Although technological interventions have the potential to reduce drug use in tertiary students, very few trials have been conducted, particularly for substances other than tobacco. However, the improvement shown in abstinence from tobacco use has the potential to impact substantially on morbidity and mortality.