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International PRISMA scoping review to understand mental health interventions for depression in COVID-19 patients.

ABSTRACT: Preliminary research indicates that the COVID-19 illness affects the mental well-being of patients. This scoping review, thus, aims to examine the current state of research into mental health treatments for depression symptoms in COVID-19 patients. Select databases were searched on 7/1/2021. Full-text articles involved (1) mental health treatment (2) suicide and/or depression outcomes, (3) a quasi-experimental research trial, and (4) a primary analysis. 11 articles were included in this review. The studies spanned 5 countries, and demonstrated immediate positive effects of mental health treatments and tele-health as a treatment modality for depression in COVID-19 patients. 6 studies were randomized controlled trials. Various treatments were administered, including cognitive behavior therapy, mindfulness, and muscle relaxation. Most interventions were conducted in in-patient units and focused on acute symptoms. There were limitations in the design and description of methodology in many studies, which affects the generalizability and replicability of positive findings. Only two studies included a post-intervention follow-up and one study assessed suicide risk. Thus, this review found there is a pressing need for more research in the area, with greater rigor in study methodology, and for treatments targeting long-term symptoms and suicidality, and outpatient services.

SUBMITTER: Chennapragada L

PROVIDER: S-EPMC9313534 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

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International PRISMA scoping review to understand mental health interventions for depression in COVID-19 patients.

Chennapragada Lakshmi L Sullivan Sarah R SR Hamerling-Potts Kyra K KK Tran Hannah H Szeszko Jake J Wrobleski Joseph J Mitchell Emily L EL Walsh Samantha S Goodman Marianne M

Psychiatry research 20220725

Preliminary research indicates that the COVID-19 illness affects the mental well-being of patients. This scoping review, thus, aims to examine the current state of research into mental health treatments for depression symptoms in COVID-19 patients. Select databases were searched on 7/1/2021. Full-text articles involved (1) mental health treatment (2) suicide and/or depression outcomes, (3) a quasi-experimental research trial, and (4) a primary analysis. 11 articles were included in this review. ...[more]

PMID: 35944370

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Project description:BackgroundWhile many digital mental health interventions (DMHIs) have been found to be efficacious, patient engagement with DMHIs has increasingly emerged as a concern for implementation in real-world clinical settings. To address engagement, we must first understand what standard engagement levels are in the context of randomized controlled trials (RCTs) and how these compare with other treatments.ObjectiveThis scoping review aims to examine the state of reporting on intervention engagement in RCTs of mobile app-based interventions intended to treat symptoms of depression. We sought to identify what engagement metrics are and are not routinely reported as well as what the metrics that are reported reflect about standard engagement levels.MethodsWe conducted a systematic search of 7 databases to identify studies meeting our eligibility criteria, namely, RCTs that evaluated use of a mobile app-based intervention in adults, for which depressive symptoms were a primary outcome of interest. We then extracted 2 kinds of information from each article: intervention details and indices of DMHI engagement. A 5-element framework of minimum necessary DMHI engagement reporting was derived by our team and guided our data extraction. This framework included (1) recommended app use as communicated to participants at enrollment and, when reported, app adherence criteria; (2) rate of intervention uptake among those assigned to the intervention; (3) level of app use metrics reported, specifically number of uses and time spent using the app; (4) duration of app use metrics (ie, weekly use patterns); and (5) number of intervention completers.ResultsDatabase searching yielded 2083 unique records. Of these, 22 studies were eligible for inclusion. Only 64% (14/22) of studies included in this review specified rate of intervention uptake. Level of use metrics was only reported in 59% (13/22) of the studies reviewed. Approximately one-quarter of the studies (5/22, 23%) reported duration of use metrics. Only half (11/22, 50%) of the studies reported the number of participants who completed the app-based components of the intervention as intended or other metrics related to completion. Findings in those studies reporting metrics related to intervention completion indicated that between 14.4% and 93.0% of participants randomized to a DMHI condition completed the intervention as intended or according to a specified adherence criteria.ConclusionsFindings suggest that engagement was underreported and widely varied. It was not uncommon to see completion rates at or below 50% (11/22) of those participants randomized to a treatment condition or to simply see completion rates not reported at all. This variability in reporting suggests a failure to establish sufficient reporting standards and limits the conclusions that can be drawn about level of engagement with DMHIs. Based on these findings, the 5-element framework applied in this review may be useful as a minimum necessary standard for DMHI engagement reporting.

Project description:Introduction Long COVID (LC) is a multisystem disease with symptoms lasting weeks or months beyond the acute COVID-19 infection. Several manifestations are reported by people with LC, including effects on mental health, with varying degrees of psychological distress and disturbances to daily activities. Research conducted to identify effective interventions to support mental health among people with LC has been limited by the breadth and scope of studies. Aim This review aims to identify interventions being tested to support mental health of people with LC. Methods A scoping review was conducted by searching five databases for articles published between January 2020 and early October 2022 to identify research evaluating interventions focused on improving mental health symptoms associated with LC. Results from all sources were checked for eligibility by two reviewers, and agreements were resolved by discussion. Gray literature and reference list of included studies and relevant reviews were scrutinised to identify any additional studies. Data extraction was conducted by one reviewer and checked by another reviewer for accuracy. Results Of the 940 studies identified, 17 were included, the design of which varied but included mainly case studies (n = 6) and clinical trials (n = 5). Several interventions were described, ranging from single interventions (e.g., pharmacologic) to more holistic, comprehensive suites of services (pharmacologic and non-pharmacologic). Several mental health outcomes were measured, mostly anxiety and depression. All included studies were reported to be associated with improvements in participants’ mental health outcomes. Conclusion This scoping review identified studies reporting on a variety of interventions to support mental health among people with LC. Although positive changes were reported by all studies, some were case studies and thus their findings must be interpreted with caution. There is a need for more research to be conducted to identify the impact of interventions on mental health of people with LC. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-023-16079-8.

Project description:BackgroundThe development of mobile computing technology has enabled the delivery of psychological interventions while people go about their everyday lives. The original visions of the potential of these "ecological momentary interventions" were presented over a decade ago, and the widespread adoption of smartphones in the intervening years has led to a variety of research studies exploring the feasibility of these aspirations. However, there is a dearth of research describing the different dimensions, characteristics, and features of these interventions, as constructed.ObjectiveTo provide an overview of the definitions given for "ecological momentary interventions" in the treatment of common mental health disorders, and describe the set of technological and interaction possibilities which have been used in the design of these interventions.MethodsA systematic search identified relevant literature published between 2009 and 2020 in the PubMed, PsycInfo, and ACM Guide to the Computing Literature databases. Following screening, data were extracted from eligible articles using a standardized extraction worksheet. Selected articles were then thematically categorized.ResultsThe search identified 583 articles of which 64 met the inclusion criteria. The interventions target a range of mental health problems, with diverse aims, intervention designs and evaluation approaches. The studies employed a variety of features for intervention delivery, but recent research is overwhelmingly comprised of studies based on smartphone apps (30 of 42 papers that described an intervention). Twenty two studies employed sensors for the collection of data in order to provide just-in-time support or predict psychological states.ConclusionsWith the shift towards smartphone apps, the vision for EMIs has begun to be realised. Recent years have seen increased exploration of the use of sensors and machine learning, but the role of humans in the delivery of EMI is also varied. The variety of capabilities exhibited by EMIs motivates development of a more precise vocabulary for capturing both automatic and human tailoring of these interventions.

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International PRISMA scoping review to understand mental health interventions for depression in COVID-19 patients.

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International PRISMA scoping review to understand mental health interventions for depression in COVID-19 patients.

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