scholarly journals Interventions to Support Mental Health among Those with Health Conditions that Present Risk for Severe Infection from Coronavirus Disease 2019 (COVID-19): A Scoping Review of English and Chinese-Language Literature

Author(s):  
Karen M. Davison ◽  
Vidhi Thakkar ◽  
Shen (Lamson) Lin ◽  
Lorna Stabler ◽  
Maura MacPhee ◽  
...  

This study aimed to address knowledge gaps related to the prevention and management of mental health responses among those with a condition that presents risk of severe COVID-19 infection. A scoping review that mapped English and Chinese-language studies (2019–2020) located in MEDLINE (Ovid), Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycInfo, Sociological Abstracts, Embase, China National Knowledge Infrastructure (CNKI), Wanfang Data, and Airiti Library was undertaken. Search terms related to COVID-19, mental health, and physical health were used and articles that included all three of these factors were extracted (n = 77). With the exception of one hospital-based pilot study, there were no intervention studies targeting mental health in those at risk of severe COVID-19 infection. Promising practices such as integrated care models that appropriately screen for mental health issues, address health determinants, and include use of digital resources were highlighted. Patient navigator programs, group online medical visits, peer support, and social prescribing may also support those with complex needs. Future policies need to address digital health access inequities and the implementation of multi-integrated health and social care. Furthermore, research is needed to comprehensively assess multi-integrated interventions that are resilient to public health crises.

2019 ◽  
Author(s):  
Brian Lo ◽  
Jenny Shi ◽  
Elisa Hollenberg ◽  
Alexxa Abi-Jaoudé ◽  
Andrew Johnson ◽  
...  

BACKGROUND Consumer-facing digital health interventions provide a promising avenue to bridge gaps in mental health care delivery. To evaluate these interventions, understanding how the target population uses a solution is critical to the overall validity and reliability of the evaluation. As a result, usage data (analytics) can provide a proxy for evaluating the engagement of a solution. However, there is paucity of guidance on how usage data or analytics should be used to assess and evaluate digital mental health interventions. OBJECTIVE This review aimed to examine how usage data are collected and analyzed in evaluations of mental health mobile apps for transition-aged youth (15-29 years). METHODS A scoping review was conducted using the Arksey and O’Malley framework. A systematic search was conducted on 5 journal databases using keywords related to usage and engagement, mental health apps, and evaluation. A total of 1784 papers from 2008 to 2019 were identified and screened to ensure that they included analytics and evaluated a mental health app for transition-aged youth. After full-text screening, 49 papers were included in the analysis. RESULTS Of the 49 papers included in the analysis, 40 unique digital mental health innovations were evaluated, and about 80% (39/49) of the papers were published over the past 6 years. About 80% involved a randomized controlled trial and evaluated apps with information delivery features. There were heterogeneous findings in the concept that analytics was ascribed to, with the top 3 being engagement, adherence, and acceptability. There was also a significant spread in the number of metrics collected by each study, with 35% (17/49) of the papers collecting only 1 metric and 29% (14/49) collecting 4 or more analytic metrics. The number of modules completed, the session duration, and the number of log ins were the most common usage metrics collected. CONCLUSIONS This review of current literature identified significant variability and heterogeneity in using analytics to evaluate digital mental health interventions for transition-aged youth. The large proportion of publications from the last 6 years suggests that user analytics is increasingly being integrated into the evaluation of these apps. Numerous gaps related to selecting appropriate and relevant metrics and defining successful or high levels of engagement have been identified for future exploration. Although long-term use or adoption is an important precursor to realizing the expected benefits of an app, few studies have examined this issue. Researchers would benefit from clarification and guidance on how to measure and analyze app usage in terms of evaluating digital mental health interventions for transition-aged youth. Given the established role of adoption in the success of health information technologies, understanding how to abstract and analyze user adoption for consumer digital mental health apps is also an emerging priority.


2021 ◽  
pp. 1-19
Author(s):  
Xiaolong Zhang ◽  
Shôn Lewis ◽  
Joseph Firth ◽  
Xu Chen ◽  
Sandra Bucci

Abstract Mental health problems are highly prevalent in China; however, China's mental health services lack resources to deliver high-quality care to people in need. Digital mental health is a promising solution to this short-fall in view of the population's digital literacy. In this review, we aim to: (i) investigate the effectiveness, acceptability, usability, and safety of digital health technologies (DHTs) for people with mental health problems in China; (ii) critically appraise the literature; and (iii) make recommendations for future research directions. The databases MEDLINE, PsycINFO, EMBASE, Web of Science, CNKI, WANFANG, and VIP were systemically searched for English and Chinese language articles evaluating DHTs for people with mental health problems in mainland China. Eligible studies were systematically reviewed. The heterogeneity of studies included precluded a meta-analysis. In total, 39 articles were retrieved, reporting on 32 DHTs for various mental health problems. Compared with the digital mental health field in the West, the Chinese studies targeted schizophrenia and substance use disorder more often and investigated social anxiety mediated by shame and culturally specific variants, DHTs were rarely developed in a co-production approach, and methodology quality was less rigorous. To our knowledge, this is the first systematic review focused on digital mental health in the Chinese context including studies published in both English and the Chinese language. DHTs were acceptable and usable among Chinese people with mental health problems in general, similar to findings from the West. Due to heterogeneity across studies and a paucity of robust control trial research, conclusions about the efficacy of DHTs are lacking.


10.2196/15942 ◽  
2020 ◽  
Vol 7 (6) ◽  
pp. e15942
Author(s):  
Brian Lo ◽  
Jenny Shi ◽  
Elisa Hollenberg ◽  
Alexxa Abi-Jaoudé ◽  
Andrew Johnson ◽  
...  

Background Consumer-facing digital health interventions provide a promising avenue to bridge gaps in mental health care delivery. To evaluate these interventions, understanding how the target population uses a solution is critical to the overall validity and reliability of the evaluation. As a result, usage data (analytics) can provide a proxy for evaluating the engagement of a solution. However, there is paucity of guidance on how usage data or analytics should be used to assess and evaluate digital mental health interventions. Objective This review aimed to examine how usage data are collected and analyzed in evaluations of mental health mobile apps for transition-aged youth (15-29 years). Methods A scoping review was conducted using the Arksey and O’Malley framework. A systematic search was conducted on 5 journal databases using keywords related to usage and engagement, mental health apps, and evaluation. A total of 1784 papers from 2008 to 2019 were identified and screened to ensure that they included analytics and evaluated a mental health app for transition-aged youth. After full-text screening, 49 papers were included in the analysis. Results Of the 49 papers included in the analysis, 40 unique digital mental health innovations were evaluated, and about 80% (39/49) of the papers were published over the past 6 years. About 80% involved a randomized controlled trial and evaluated apps with information delivery features. There were heterogeneous findings in the concept that analytics was ascribed to, with the top 3 being engagement, adherence, and acceptability. There was also a significant spread in the number of metrics collected by each study, with 35% (17/49) of the papers collecting only 1 metric and 29% (14/49) collecting 4 or more analytic metrics. The number of modules completed, the session duration, and the number of log ins were the most common usage metrics collected. Conclusions This review of current literature identified significant variability and heterogeneity in using analytics to evaluate digital mental health interventions for transition-aged youth. The large proportion of publications from the last 6 years suggests that user analytics is increasingly being integrated into the evaluation of these apps. Numerous gaps related to selecting appropriate and relevant metrics and defining successful or high levels of engagement have been identified for future exploration. Although long-term use or adoption is an important precursor to realizing the expected benefits of an app, few studies have examined this issue. Researchers would benefit from clarification and guidance on how to measure and analyze app usage in terms of evaluating digital mental health interventions for transition-aged youth. Given the established role of adoption in the success of health information technologies, understanding how to abstract and analyze user adoption for consumer digital mental health apps is also an emerging priority.


2011 ◽  
Vol 26 (S2) ◽  
pp. 1928-1928
Author(s):  
P. Nicaise

IntroductionSocially marginalised people with mental health disorders have complex needs that require integrated care. However, mental health and social care sectors are fragmented, and inter-organisational collaboration is challenging.AimA cross-national whole Network Analysis was carried out to detect and interpret patterns of relations between mental health and social care services in several European cities and assess their levels of care integration, following Leutz's levels: linkage, coordination and full integration.MethodData on referrals and service routine meetings were collected in deprived areas of 14 European cities and processed within a Social Network Analysis approach. Structural indicators included degrees, components and overlapping cliques, betweenness centrality and centralisation and brokerage roles. Patterns of collaboration were compared across cities.ResultsFew cities had full integrated services. Whole networks had relatively low densities, including denser sub-networks of similar services. The linkage across sectors remained weaker than the linkage within sectors. Services situated in broker positions were not always integrated nor commissioned for care coordination. The centrality of these services was higher when the linkage density was lower.ConclusionsAlthough differences between structural patterns of mental health and social care networks mainly depend on national care integration policies, the study revealed structural gaps in the achievement of these patterns, whatever the policy model. This could explain why different systems are basically facing the same problems in service delivery despite these differences. These gaps constitute potential weaknesses in the quality of mental health and social care integration at the system level.


2019 ◽  
Author(s):  
Jessica Kemp ◽  
Timothy Zhang ◽  
Fiona Inglis ◽  
David Wiljer ◽  
Sanjeev Sockalingam ◽  
...  

BACKGROUND Compassion is a vital component to the achievement of positive health outcomes, particularly in mental health care. The rise of digital technologies may influence the delivery of compassionate care, and thus this relationship between compassion and digital health care needs to be better understood. OBJECTIVE This scoping review aimed to identify existing digital technologies being used by patients and health professionals in the delivery of mental health care, understand how digital technologies are being used in the delivery of compassionate mental health care, and determine the facilitators of and barriers to digital technology use among patients and health professionals in the delivery of compassionate mental health care. METHODS We conducted this scoping review through a search of Cumulative Index to Nursing and Allied Health Literature, Medical Literature Analysis and Retrieval System Online (MEDLINE), MEDLINE In-Process and EPub Ahead of Print, PsycINFO, and Web of Science for articles published from 1990 to 2019. RESULTS Of the 4472 articles screened, 37 articles were included for data extraction. Telemedicine was the most widely used technology by mental health professionals. Digital technologies were described as facilitating compassionate care and were classified using a conceptual model to identify each digital intersection with compassionate care. Facilitators of and barriers to providing compassionate care through digital technology were identified, including increased safety for providers, health care professional perceptions and abilities, and the use of <i>picture-in-picture</i> feedback to evaluate social cues. CONCLUSIONS Implementing digital technology into mental health care can improve the current delivery of compassionate care and create novel ways to provide compassion. However, as this is a new area of study, mental health professionals and organizations alike should be mindful that compassionate human-centered care is maintained in the delivery of digital health care. Future research could develop tools to facilitate and evaluate the enactment of compassion within digital health care.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
L Velez Lapão

Abstract Health evidence should drive health policies towards health determinants targets. Amongst the environmental health determinants, climate change represents now a clear public health threat. The constant increase of temperatures has multiple consequences on population health, already observed in Europe and elsewhere. The role of healthcare services is paramount, moreover the use of new technologies that can mitigate CO2 emissions and reduce costs while improving healthcare coverage. Reducing the impacts of climate change on the environment and population health is a challenge affecting everyone: it is therefore essential to get actors from all sectors, moreover from the technology side. A scoping review addressed the impact of digital health services on climate change mitigation. Leveraging from previous work on telemedicine and health digital services an impact analysis was done covering both the CO2 mitigation and Costs. An example from a 20 years' telemedicine service is used to exemplify the impact. The impact of a Telecardiology service, as an example of digital service, was addressed and the CO2 mitigation calculated. This service has so far avoided about 2000 flights from Africa to Europe, which means a reduction of more than 16 000 Tons of CO2. From this analysis is complemented with a scoping review showing the evidence from other digital health cases. The optimization of resources is critical in healthcare. In this regard, it is important to assess the actual benefits obtained with the health digital services, giving evidence on the righteousness of the decision-making. Clearly digital health services should be promoted to tackle both health coverage from distance patients and to mitigate climate change footprint and should motivate policy-makers to take this challenge more seriously. This work is contributing to SDG3, improving health, to SDG4, allowing to provide distance health education at relatively low cost and to SDG 13, by reducing the CO2 footprint.


2021 ◽  
Vol 3 ◽  
Author(s):  
Blanche Wies ◽  
Constantin Landers ◽  
Marcello Ienca

Mental health disorders are complex disorders of the nervous system characterized by a behavioral or mental pattern that causes significant distress or impairment of personal functioning. Mental illness is of particular concern for younger people. The WHO estimates that around 20% of the world's children and adolescents have a mental health condition, a rate that is almost double compared to the general population. One approach toward mitigating the medical and socio-economic effects of mental health disorders is leveraging the power of digital health technology to deploy assistive, preventative, and therapeutic solutions for people in need. We define “digital mental health” as any application of digital health technology for mental health assessment, support, prevention, and treatment. However, there is only limited evidence that digital mental health tools can be successfully implemented in clinical settings. Authors have pointed to a lack of technical and medical standards for digital mental health apps, personalized neurotechnology, and assistive cognitive technology as a possible cause of suboptimal adoption and implementation in the clinical setting. Further, ethical concerns have been raised related to insufficient effectiveness, lack of adequate clinical validation, and user-centered design as well as data privacy vulnerabilities of current digital mental health products. The aim of this paper is to report on a scoping review we conducted to capture and synthesize the growing literature on the promises and ethical challenges of digital mental health for young people aged 0–25. This review seeks to survey the scope and focus of the relevant literature, identify major benefits and opportunities of ethical significance (e.g., reducing suffering and improving well-being), and provide a comprehensive mapping of the emerging ethical challenges. Our findings provide a comprehensive synthesis of the current literature and offer a detailed informative basis for any stakeholder involved in the development, deployment, and management of ethically-aligned digital mental health solutions for young people.


10.2196/16263 ◽  
2020 ◽  
Vol 22 (3) ◽  
pp. e16263 ◽  
Author(s):  
Jessica Kemp ◽  
Timothy Zhang ◽  
Fiona Inglis ◽  
David Wiljer ◽  
Sanjeev Sockalingam ◽  
...  

Background Compassion is a vital component to the achievement of positive health outcomes, particularly in mental health care. The rise of digital technologies may influence the delivery of compassionate care, and thus this relationship between compassion and digital health care needs to be better understood. Objective This scoping review aimed to identify existing digital technologies being used by patients and health professionals in the delivery of mental health care, understand how digital technologies are being used in the delivery of compassionate mental health care, and determine the facilitators of and barriers to digital technology use among patients and health professionals in the delivery of compassionate mental health care. Methods We conducted this scoping review through a search of Cumulative Index to Nursing and Allied Health Literature, Medical Literature Analysis and Retrieval System Online (MEDLINE), MEDLINE In-Process and EPub Ahead of Print, PsycINFO, and Web of Science for articles published from 1990 to 2019. Results Of the 4472 articles screened, 37 articles were included for data extraction. Telemedicine was the most widely used technology by mental health professionals. Digital technologies were described as facilitating compassionate care and were classified using a conceptual model to identify each digital intersection with compassionate care. Facilitators of and barriers to providing compassionate care through digital technology were identified, including increased safety for providers, health care professional perceptions and abilities, and the use of picture-in-picture feedback to evaluate social cues. Conclusions Implementing digital technology into mental health care can improve the current delivery of compassionate care and create novel ways to provide compassion. However, as this is a new area of study, mental health professionals and organizations alike should be mindful that compassionate human-centered care is maintained in the delivery of digital health care. Future research could develop tools to facilitate and evaluate the enactment of compassion within digital health care.


2020 ◽  
Vol 70 (suppl 1) ◽  
pp. bjgp20X711569
Author(s):  
Jessica Wyatt Muscat

BackgroundCommunity multidisciplinary teams (MDTs) represent a model of integrated care comprising health, social care, and the voluntary sector where members work collaboratively to coordinate care for those patients most at risk.AimThe evaluation will answer the question, ‘What are the enablers and what are the restrictors to the embedding of the case study MDT into the routine practice of the health and social care teams involved in the project?’MethodThe MDT was evaluated using a mixed-method approach with normalisation process theory as a methodological tool. Both quantitative and qualitative data were gathered through a questionnaire consisting of the NoMAD survey followed by free-form questions.ResultsThe concepts of the MDT were generally clear, and participants could see the potential benefits of the programme, though this was found to be lower in GPs. Certain professionals, particularly mental health and nursing professionals, found it difficult to integrate the MDT into normal working patterns because of a lack of resources. Participants also felt there was a lack of training for MDT working. A lack of awareness of evidence supporting the programme was shown particularly within management, GP, and nursing roles.ConclusionSpecific recommendations have been made in order to improve the MDT under evaluation. These include adjustments to IT systems and meeting documentation, continued education as to the purpose of the MDT, and the engagement of GPs to enable better buy-in. Recommendations were made to focus the agenda with specialist attendance when necessary, and to expand the MDT remit, particularly in mental health and geriatrics.


2020 ◽  
Author(s):  
Alanna McCrory

UNSTRUCTURED Users of highly visual social media (HVSM), such as Snapchat and Instagram, share their messages through images, rather than relying on words. A significant proportion of people that use these platforms are adolescents. Previous research reveals mixed evidence regarding the impact of online social technologies on this age group’s mental wellbeing, but it is uncertain whether the psychological effects of visual content alone differ from text-driven social media. This scoping review maps existing literature that has published evidence about highly visual social media, specifically its psychological impact on young people. Nine electronic databases and grey literature from 2010 until March 2019 were reviewed for articles describing any aspect of visual social media, young people and their mental health. The screening process retrieved 239 articles. With the application of eligibility criteria, this figure was reduced to 25 articles for analysis. Results indicate a paucity of data that exclusively examines HVSM. The predominance of literature relies on quantitative methods to achieve its objectives. Many findings are inconsistent and lack the richness that qualitative data may provide to explore the reasons for theses mixed findings.


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