Supplemental Material for E-Mental Health Interventions for the Treatment and Prevention of Eating Disorders: An Updated Systematic Review and Meta-Analysis

2020 ◽  
Keyword(s):  
Mental Health ◽  
Systematic Review ◽  
Eating Disorders ◽  
Meta Analysis ◽  
Health Interventions ◽  
Treatment And Prevention ◽  
Mental Health Interventions

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

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 Digital Interventions for Depression and Anxiety in Older Adults: Protocol for a Systematic Review

10.2196/22738 ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. e22738
Author(s):  
Indira Riadi ◽  
Lucy Kervin ◽  
Kelly Teo ◽  
Ryan Churchill ◽  
Theodore D Cosco
Keyword(s):  
Mental Health ◽  
Systematic Review ◽  
Older Adults ◽  
Mental Illnesses ◽  
Health Interventions ◽  
Current Evidence ◽  
Depression And Anxiety ◽  
Treatment And Prevention ◽  
Digital Interventions ◽  
Mental Health Interventions

Background There is a high prevalence of older adults experiencing depression and anxiety. In response to heightened demands for mental health interventions that are accessible and affordable, there has been a recent rise in the number of digital mental health interventions (DMHIs) that have been developed and incorporated into mental health treatments. Digital interventions are promising in their ability to provide researchers, medical practitioners, and patients with personalized tools for assessing behavior, consultation, treatment, and care that can be used remotely. Reviews and meta-analyses have shown the benefits of DMHIs for the treatment and prevention of depression, anxiety, and other mental illnesses, but there is still a lack of studies that focus on the benefits and use of DMHIs in the older population. Objective The aim of this systematic review is to investigate the current evidence for the effect of technology-delivered interventions, such as smartphone/tablet applications, remote monitoring and tracking devices, and wearable technology, for the treatment and prevention of depression and anxiety in adults older than 50 years. Methods The academic databases SCOPUS, PsycINFO, AgeLine (EBSCO), and Medline (PubMed) will be searched from January 1, 2010, to the date of search commencement to provide a review of existing randomized controlled trial studies. The search will include 3 key concepts: “older adults,” “digital intervention,” and “depression/anxiety.” A set of inclusion criteria will be followed during screening by two reviewers. Data will be extracted to address aims and objectives of the review. The risk of bias for each study will be determined using appropriate tools. If possible, a random-effects meta-analysis will be performed, and the heterogeneity of effect sizes will be calculated. Results Preliminary searches were conducted in September 2020. The review is anticipated to be completed by April 2021. Conclusions The data accumulated in this systematic review will demonstrate the potential benefits of technology-delivered interventions for the treatment of depression and anxiety disorders in older adults. This review will also identify any gaps in current studies of aging and mental health interventions, thereby navigating a way to move forward and paving the path to more accessible and user-friendly digital health interventions for the diverse population of older adults. Trial Registration PROSPERO International Prospective Register of Systematic Reviews CRD42020192532; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020192532 International Registered Report Identifier (IRRID) PRR1-10.2196/22738

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.

scholarly journals Digital Interventions for Depression and Anxiety in Older Adults: Protocol for a Systematic Review (Preprint)

2020 ◽  
Author(s):  
Indira Riadi ◽  
Lucy Kervin ◽  
Kelly Teo ◽  
Ryan Churchill ◽  
Theodore D Cosco
Keyword(s):  
Mental Health ◽  
Systematic Review ◽  
Older Adults ◽  
Mental Illnesses ◽  
Health Interventions ◽  
Current Evidence ◽  
Depression And Anxiety ◽  
Treatment And Prevention ◽  
Digital Interventions ◽  
Mental Health Interventions

BACKGROUND There is a high prevalence of older adults experiencing depression and anxiety. In response to heightened demands for mental health interventions that are accessible and affordable, there has been a recent rise in the number of digital mental health interventions (DMHIs) that have been developed and incorporated into mental health treatments. Digital interventions are promising in their ability to provide researchers, medical practitioners, and patients with personalized tools for assessing behavior, consultation, treatment, and care that can be used remotely. Reviews and meta-analyses have shown the benefits of DMHIs for the treatment and prevention of depression, anxiety, and other mental illnesses, but there is still a lack of studies that focus on the benefits and use of DMHIs in the older population. OBJECTIVE The aim of this systematic review is to investigate the current evidence for the effect of technology-delivered interventions, such as smartphone/tablet applications, remote monitoring and tracking devices, and wearable technology, for the treatment and prevention of depression and anxiety in adults older than 50 years. METHODS The academic databases SCOPUS, PsycINFO, AgeLine (EBSCO), and Medline (PubMed) will be searched from January 1, 2010, to the date of search commencement to provide a review of existing randomized controlled trial studies. The search will include 3 key concepts: “older adults,” “digital intervention,” and “depression/anxiety.” A set of inclusion criteria will be followed during screening by two reviewers. Data will be extracted to address aims and objectives of the review. The risk of bias for each study will be determined using appropriate tools. If possible, a random-effects meta-analysis will be performed, and the heterogeneity of effect sizes will be calculated. RESULTS Preliminary searches were conducted in September 2020. The review is anticipated to be completed by April 2021. CONCLUSIONS The data accumulated in this systematic review will demonstrate the potential benefits of technology-delivered interventions for the treatment of depression and anxiety disorders in older adults. This review will also identify any gaps in current studies of aging and mental health interventions, thereby navigating a way to move forward and paving the path to more accessible and user-friendly digital health interventions for the diverse population of older adults. CLINICALTRIAL PROSPERO International Prospective Register of Systematic Reviews CRD42020192532; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020192532 INTERNATIONAL REGISTERED REPORT PRR1-10.2196/22738

Mental health interventions in non-elite sport: a systematic review and meta-analysis

2021 ◽  
pp. 1-24
Author(s):  
Jordan T. Sutcliffe ◽  
Scott Graupensperger ◽  
Matthew J. Schweickle ◽  
Simon M. Rice ◽  
Christian Swann ◽  
...  
Keyword(s):  
Mental Health ◽  
Systematic Review ◽  
Meta Analysis ◽  
Health Interventions ◽  
Elite Sport ◽  
Mental Health Interventions
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