Effects of mental health interventions with Asian Americans: A review and meta-analysis.

2018 ◽  
Vol 86 (11) ◽  
pp. 915-930 ◽  
Author(s):  
Stanley J. Huey ◽  
Jacqueline L. Tilley
Keyword(s):  
Mental Health ◽  
Asian Americans ◽  
Meta Analysis ◽  
Health Interventions ◽  
Mental Health Interventions

The effects of non-clinician guidance on effectiveness and process outcomes of digital mental health interventions: A systematic review and meta-analysis. (Preprint)

2021 ◽  
Author(s):  
Calista Leung ◽  
Julia Pei ◽  
Kristen Hudec ◽  
Farhud Shams ◽  
Richard Munthali ◽  
...  
Keyword(s):  
Mental Health ◽  
Systematic Review ◽  
Psychosocial Support ◽  
Meta Analysis ◽  
Grey Literature ◽  
Risk Of Bias ◽  
Health Interventions ◽  
Cochrane Central Register ◽  
Process Outcomes ◽  
Mental Health Interventions

BACKGROUND Digital mental health interventions are increasingly prevalent in the current context of rapidly evolving technology, and research indicates that they yield effectiveness outcomes comparable to in-person treatment. Integrating professionals (i.e. psychologists, physicians) into digital mental health interventions has been common, and the inclusion of guidance within programs can increase adherence to interventions. However, employing professionals to enhance mental health programs may undermine the scalability of digital interventions. Therefore, delegating guidance tasks to paraprofessionals (peer supporters, technicians, lay counsellors, or other non-clinicians) can help reduce costs and increase accessibility. OBJECTIVE This systematic review and meta-analysis evaluates the effectiveness, adherence, and other process outcomes of non-clinician guided digital mental health interventions. METHODS Four databases (MEDLINE, EMBASE, CINAHL, and PSYCInfo) were searched for randomized controlled trials published between 2010 and 2020 examining digital mental health interventions. Three journals focused on digital intervention were also hand searched and grey literature was searched using ProQuest and the Cochrane Central Register of Control Trials (CENTRAL). Two researchers independently assessed risk of bias using the Cochrane Risk of Bias Tool 2. Data were collected on effectiveness, adherence, and other process outcomes, and meta-analyses were conducted for effectiveness and adherence outcomes. Non-clinician guided interventions were compared with treatment as usual, clinician-guided interventions, and unguided interventions. RESULTS Thirteen studies qualified for inclusion. Results indicate that non-clinician guided interventions yielded higher post-treatment effectiveness outcomes when compared to conditions involving control programs (e.g. online psychoeducation, monitored attention control) or waitlist controls (k=7, Hedges g=-0.73 (95% CI -1.08 to -0.38)). There are significant differences between non-clinician guided interventions and unguided interventions as well (k=6, Hedges g=-0.17 (95% CI -0.23 to -0.11)). In addition, non-clinician guided interventions did not differ in effectiveness from clinician-guided interventions (k=3, Hedges g=0.08 (95% CI -0.01 to 0.17)). These results suggest that guided digital mental health interventions are helpful to improve mental health outcomes regardless of the qualification, and that the presence of a non-clinician guide improves effectiveness outcomes more than no guidance. Non-clinician guided interventions did not yield significantly different effects on adherence outcomes when compared with unguided interventions (k=3, OR 1.58 (95% CI 0.51 to 4.92)), although a general trend of improved adherence was observed within non-clinician guided interventions. CONCLUSIONS Integrating paraprofessionals and non-clinicians appear to improve outcomes of digital mental health interventions, and may also enhance adherence outcomes (though the trend was nonsignificant). Further research should focus on the specific types of tasks these paraprofessionals can successfully provide (i.e. psychosocial support, therapeutic alliance, technical augmentation) and their associated outcomes. CLINICALTRIAL The protocol is preregistered on PROSPERO (CRD42020191226).

scholarly journals The efficacy of smartphone-based mental health interventions for depressive symptoms: a meta-analysis of randomized controlled trials

2017 ◽  
Vol 16 (3) ◽  
pp. 287-298 ◽  
Author(s):  
Joseph Firth ◽  
John Torous ◽  
Jennifer Nicholas ◽  
Rebekah Carney ◽  
Abhishek Pratap ◽  
...  
Keyword(s):  
Mental Health ◽  
Depressive Symptoms ◽  
Randomized Controlled Trials ◽  
Meta Analysis ◽  
Health Interventions ◽  
Controlled Trials ◽  
Randomized Controlled ◽  
Mental Health Interventions

scholarly journals A Systematic Review and Meta-Analysis of e-Mental Health Interventions to Treat Symptoms of Posttraumatic Stress

2017 ◽  
Vol 4 (2) ◽  
pp. e14 ◽  
Author(s):  
Sara Simblett ◽  
Jennifer Birch ◽  
Faith Matcham ◽  
Lidia Yaguez ◽  
Robin Morris
Keyword(s):  
Mental Health ◽  
Systematic Review ◽  
Posttraumatic Stress ◽  
Stress Disorder ◽  
Meta Analysis ◽  
Intervention Group ◽  
Health Interventions ◽  
Ptsd Symptoms ◽  
Active Intervention Group ◽  
Mental Health Interventions

Background Posttraumatic stress disorder (PTSD) is a stress disorder characterized by unwanted intrusive re-experiencing of an acutely distressing, often life-threatening, event, combined with symptoms of hyperarousal, avoidance, as well as negative thoughts and feelings. Evidence-based psychological interventions have been developed to treat these symptoms and reduce distress, the majority of which were designed to be delivered face-to-face with trained therapists. However, new developments in the use of technology to supplement and extend health care have led to the creation of e-Mental Health interventions. Objective Our aim was to assess the scope and efficacy of e-Mental Health interventions to treat symptoms of PTSD. Methods The following databases were systematically searched to identify randomized controlled trials of e-Mental Health interventions to treat symptoms of PTSD as measured by standardized and validated scales: the Cochrane Library, MEDLINE, EMBASE, and PsycINFO (in March 2015 and repeated in November 2016). Results A total of 39 studies were found during the systematic review, and 33 (N=3832) were eligible for meta-analysis. The results of the primary meta-analysis revealed a significant improvement in PTSD symptoms, in favor of the active intervention group (standardized mean difference=-0.35, 95% confidence interval -0.45 to -0.25, P<.001, I2=81%). Several sensitivity and subgroup analyses were performed suggesting that improvements in PTSD symptoms remained in favor of the active intervention group independent of the comparison condition, the type of cognitive behavioral therapy-based intervention, and the level of guidance provided. Conclusions This review demonstrates an emerging evidence base supporting e-Mental Health to treat symptoms of PTSD.

Impact of guidance on intervention adherence in computerised interventions for mental health problems: a meta-analysis

2021 ◽  
pp. 1-12
Author(s):  
Peter Musiat ◽  
Catherine Johnson ◽  
Melissa Atkinson ◽  
Simon Wilksch ◽  
Tracey Wade
Keyword(s):  
Mental Health ◽  
Mental Health Problems ◽  
Meta Analysis ◽  
Health Interventions ◽  
Web Based ◽  
Symptoms Of Depression ◽  
Mental Health Interventions ◽  
Intervention Content ◽  
Intervention Adherence ◽  
The Impact

Abstract Web-based interventions are increasingly used for the prevention, treatment and aftercare of mental disorders. A crucial factor to the efficacy of such online programmes is adherence to the intervention content and procedure. It has been frequently suggested that adherence in web-based interventions is low and little is known about which factors influence adherence. To increase intervention uptake and completion, studies increasingly include interventions with some form of guidance. Guided interventions have been shown to have higher efficacy, however, evidence for the impact on adherence is limited and mixed. This meta-analysis explored the impact of human guidance on intervention completion in web-based mental health interventions. A total of 22 studies were included with interventions primarily targeting symptoms of depression and anxiety disorders. Results showed that guidance significantly increases the average amount of intervention completion [g = 0.29, 95% confidence interval (CI) 0.18–0.40] and the proportion of intervention completers [log odds ratio (OR) = 0.50, 95% CI 0.34–0.66] with small effects. On average, full completion rates were 12% higher in guided intervention groups. This meta-analysis demonstrated that guidance in web-based mental health interventions does increase adherence, but more research is required to better understand the specific mechanisms between guidance, adherence and outcomes.

E-mental health interventions for the treatment and prevention of eating disorders: An updated systematic review and meta-analysis.

2020 ◽  
Vol 88 (11) ◽  
pp. 994-1007 ◽  
Author(s):  
Jake Linardon ◽  
Adrian Shatte ◽  
Mariel Messer ◽  
Joseph Firth ◽  
Matthew Fuller-Tyszkiewicz
Keyword(s):  
Mental Health ◽  
Systematic Review ◽  
Eating Disorders ◽  
Meta Analysis ◽  
Health Interventions ◽  
Treatment And Prevention ◽  
Mental Health Interventions
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