Study protocol: a randomized controlled trial of a computer-based depression and substance abuse intervention for people attending residential substance abuse treatment

Background: A large proportion of people attending residential alcohol and other substance abuse treatment have a co-occurring mental illness. Empirical evidence suggests that it is important to treat both the substance abuse problem and co-occurring mental illness concurrently and in an integrated fashion. However, the majority of residential alcohol and other substance abuse services do not address mental illness in a systematic way. It is likely that computer delivered interventions could improve the ability of substance abuse services to address co-occurring mental illness. This protocol describes a study in which we will assess the effectiveness of adding a computer delivered depression and substance abuse intervention for people who are attending residential alcohol and other substance abuse treatment. Methods/Design. Participants will be recruited from residential rehabilitation programs operated by the Australian Salvation Army. All participants who satisfy the diagnostic criteria for an alcohol or other substance dependence disorder will be asked to participate in the study. After completion of a baseline assessment, participants will be randomly assigned to either a computer delivered substance abuse and depression intervention (treatment condition) or to a computer-delivered typing tutorial (active control condition). All participants will continue to complete The Salvation Army residential program, a predominantly 12-step based treatment facility. Randomisation will be stratified by gender (Male, Female), length of time the participant has been in the program at the commencement of the study (4 weeks or less, 4 weeks or more), and use of anti-depressant medication (currently prescribed medication, not prescribed medication). Participants in both conditions will complete computer sessions twice per week, over a five-week period. Research staff blind to treatment allocation will complete the assessments at baseline, and then 3, 6, 9, and 12 months post intervention. Participants will also complete weekly self-report measures during the treatment period. Discussion. This study will provide comprehensive data on the effect of introducing a computer delivered, cognitive behavioral therapy based co-morbidity treatment program within a residential substance abuse setting. If shown to be effective, this intervention can be disseminated within other residential substance abuse programs. Trial registration. Australia and New Zealand Clinical Trials Register (ANZCTR): ACTRN12611000618954

Internet-based early intervention to prevent poststraumatic stress disorder in injury patients: Randomized controlled trial.

Background: Posttraumatic stress disorder (PTSD) develops in 10-20% of injury patients. We developed a novel, self-guided Internet-based intervention (called Trauma TIPS) based on techniques from cognitive behavioral therapy (CBT) to prevent the onset of PTSD symptoms. Objective: To determine whether Trauma TIPS is effective in preventing the onset of PTSD symptoms in injury patients. Methods: Adult, level 1 trauma center patients were randomly assigned to receive the fully automated Trauma TIPS Internet intervention (n=151) or to receive no early intervention (n=149). Trauma TIPS consisted of psychoeducation, in vivo exposure, and stress management techniques. Both groups were free to use care as usual (nonprotocolized talks with hospital staff). PTSD symptom severity was assessed at 1, 3, 6, and 12 months post injury with a clinical interview (Clinician-Administered PTSD Scale) by blinded trained interviewers and self-report instrument (Impact of Event Scale-Revised). Secondary outcomes were acute anxiety and arousal (assessed online), self-reported depressive and anxiety symptoms (Hospital Anxiety and Depression Scale), and mental health care utilization. Intervention usage was documented. Results: The mean number of intervention logins was 1.7, SD 2.5, median 1, interquartile range (IQR) 1-2. Thirty-four patients in the intervention group did not log in (22.5%), 63 (41.7%) logged in once, and 54 (35.8%) logged in multiple times (mean 3.6, SD 3.5, median 3, IQR 2-4). On clinician-assessed and self-reported PTSD symptoms, both the intervention and control group showed a significant decrease over time (P<.001) without significant differences in trend. PTSD at 12 months was diagnosed in 4.7% of controls and 4.4% of intervention group patients. There were no group differences on anxiety or depressive symptoms over time. Post hoc analyses using latent growth mixture modeling showed a significant decrease in PTSD symptoms in a subgroup of patients with severe initial symptoms (n=20) (P<.001). Conclusions: Our results do not support the efficacy of the Trauma TIPS Internet-based early intervention in the prevention of PTSD symptoms for an unselected population of injury patients. Moreover, uptake was relatively low since one-fifth of individuals did not log in to the intervention. Future research should therefore focus on innovative strategies to increase intervention usage, for example, adding gameplay, embedding it in a blended care context, and targeting high-risk individuals who are more likely to benefit from the intervention

The E Sibling Project - exploratory randomised controlled trial of an online multi-component psychoeducational intervention for siblings of individuals with first episode psychosis

Background:Siblings of individuals with first episode psychosis are natural partners to promote service users’recovery and are themselves vulnerable to mental ill health due to the negative impact of psychosis withinthe family. This study aims to develop and undertake a preliminary evaluation of the efficacy of an onlinemulti-component psychoeducational intervention for siblings of individuals with first episode psychosis. Theimpetus for the intervention arose from siblings' expressed needs for peer support and information on psychosis,coping and management strategies for common symptoms and ways to promote recovery. Methods/Design:The project design draws on the Medical Research Council framework for the design andevaluation of complex interventions. Mixed methods comprising collection of qualitative focus group data,systematic review and expert advisory group consultation are used to develop the theoretical basis for and designof the intervention. This protocol focuses on the modelling and piloting phase which uses a randomised controlledtrial with factorial design to test the efficacy of the intervention. Outcome data on participants’mental wellbeing,knowledge, perceived self-efficacy and experiences of caregiving will be assessed at baseline, at end of theintervention (10 weeks later) and at 10 week follow-up. In addition, a post-intervention semi-structured interviewwith 20% of the participants will explore their experiences and acceptability of the intervention. Discussion:This multi-component online psychoeducational intervention aims to enhance siblings' knowledgeabout psychosis and their coping capacity, thus potentially improving their own mental wellbeing and promotingtheir contribution to service users’recovery. The factorial design randomised controlled trial with a supplementaryprocess evaluation using semi-structured interviews and usage-monitoring will collect preliminary evidence ofefficacy, feasibility and acceptability, as well as feedback about the barriers and strategies to using such aninnovative resource. The RCT will provide data for estimating the likely effect size of the intervention on outcomesfor siblings and inform the development of a definitive future trial

Early identification of young children at risk for poor academic achievement: preliminary development of a parent-report prediction tool

<p>Abstract</p> <p>Background</p> <p>Early school success is clearly related to later health. A prediction index that uses parent report to assess children's risk for poor academic achievement could potentially direct targeted service delivery to improve child outcomes.</p> <p>Methods</p> <p>We obtained risk factors through literature review and used the National Longitudinal Survey of Youth 1979 Child Files to examine the predictive associations of these factors with academic achievement scores.</p> <p>Results</p> <p>Twenty predictors were identified including four strong predictors (maternal education, child gender, family income, and low birth weight). Significantly, 12 predictors explained 17-24% of score variance.</p> <p>Conclusions</p> <p>Parent-reported factors provide predictive accuracy for academic achievement.</p