scholarly journals Moving beyond randomized controlled trials in the evaluation of compulsory community treatment

2019 ◽  
Vol 26 (3) ◽  
pp. 812-818
Author(s):  
Craig Duncan ◽  
Scott Weich ◽  
Graham Moon ◽  
Liz Twigg ◽  
Sarah‐Jane Fenton ◽  
...  
Keyword(s):  
Randomized Controlled Trials ◽  
Community Treatment ◽  
Controlled Trials ◽  
Randomized Controlled ◽  
Compulsory Community Treatment

scholarly journals Resource Group Assertive Community Treatment (RACT) as a Tool of Empowerment for Clients with Severe Mental Illness: A Meta-Analysis

2012 ◽  
Vol 8 (1) ◽  
pp. 144-151 ◽  
Author(s):  
Tommy Nordén ◽  
Ulf Malm ◽  
Torsten Norlander
Keyword(s):  
Randomized Controlled Trials ◽  
Assertive Community Treatment ◽  
Meta Analysis ◽  
Well Being ◽  
Community Treatment ◽  
Medium Effect ◽  
Controlled Trials ◽  
Psychiatric Diagnoses ◽  
Randomized Controlled ◽  
Resource Group

The aim of the current meta-analysis was to explore the effectiveness of the method here labeled Resource Group Assertive Community Treatment (RACT) for clients with psychiatric diagnoses as compared to standard care during the period 2001 – 2011. Included in the meta-analysis were 17 studies comprising a total of 2263 clients, 1291 men and 972 women, with a weighted mean age of 45.44 years. The diagnoses of 86 % of the clients were within the psychotic spectrum while 14 % had other psychiatric diagnoses. There were six randomized controlled trials and eleven observational studies. The studies spanned between 12 and 60 months, and 10 of them lasted 24 months. The results indicated a large effect-size for the ”grand total measure” (Cohen´sd= 0.80). The study comprised three outcome variables: Symptoms, Functioning, and Well-being. With regard to Symptoms, a medium effect for both randomized controlled trials and non-randomized studies was found, whereas Functioning showed large effects for both types of design. Concerning Well-being both large and medium effects were evident. The conclusions of the meta-analysis were that the treatment of clients with Resource Group Assertive Community Treatment yields positive effects for clients with psychoses and that the method may be of use for clients within the entire psychiatric spectrum.

The Effect of Partly Missing Covariates on Statistical Power in Randomized Controlled Trials With Discrete-Time Survival Endpoints

Methodology ◽  
2017 ◽  
Vol 13 (2) ◽  
pp. 41-60
Author(s):  
Shahab Jolani ◽  
Maryam Safarkhani
Keyword(s):  
Randomized Controlled Trials ◽  
Discrete Time ◽  
Treatment Effect ◽  
Survival Data ◽  
Controlled Trials ◽  
Missing Covariates ◽  
Indicator Method ◽  
Imputation Methods ◽  
Randomized Controlled ◽  
Baseline Covariates

Abstract. In randomized controlled trials (RCTs), a common strategy to increase power to detect a treatment effect is adjustment for baseline covariates. However, adjustment with partly missing covariates, where complete cases are only used, is inefficient. We consider different alternatives in trials with discrete-time survival data, where subjects are measured in discrete-time intervals while they may experience an event at any point in time. The results of a Monte Carlo simulation study, as well as a case study of randomized trials in smokers with attention deficit hyperactivity disorder (ADHD), indicated that single and multiple imputation methods outperform the other methods and increase precision in estimating the treatment effect. Missing indicator method, which uses a dummy variable in the statistical model to indicate whether the value for that variable is missing and sets the same value to all missing values, is comparable to imputation methods. Nevertheless, the power level to detect the treatment effect based on missing indicator method is marginally lower than the imputation methods, particularly when the missingness depends on the outcome. In conclusion, it appears that imputation of partly missing (baseline) covariates should be preferred in the analysis of discrete-time survival data.

Interventions for suicide and self-injury: A meta-analysis of randomized controlled trials across nearly 50 years of research.

2020 ◽  
Vol 146 (12) ◽  
pp. 1117-1145
Author(s):  
Kathryn R. Fox ◽  
Xieyining Huang ◽  
Eleonora M. Guzmán ◽  
Kensie M. Funsch ◽  
Christine B. Cha ◽  
...  
Keyword(s):  
Randomized Controlled Trials ◽  
Meta Analysis ◽  
Controlled Trials ◽  
Randomized Controlled ◽  
Self Injury

Supportive Therapy As Placebo: Researcher Allegiance in Randomized Controlled Trials

2010 ◽  
Author(s):  
Timothy P. Baardseth ◽  
Stephanie L. Budge ◽  
Bruce E. Wampold
Keyword(s):  
Randomized Controlled Trials ◽  
Supportive Therapy ◽  
Controlled Trials ◽  
Randomized Controlled

Randomized Controlled Trials in the Context of Behavioral Medicine

2009 ◽  
Author(s):  
Jennifer L. Steel ◽  
Leigh A. Gemmell ◽  
David A. Geller ◽  
Michael Spring ◽  
Jonathan Grady ◽  
...  
Keyword(s):  
Behavioral Medicine ◽  
Randomized Controlled Trials ◽  
Controlled Trials ◽  
Randomized Controlled
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