Connected Mental Health: Systematic Mapping Study.
28 Aug 2020-Journal of Medical Internet Research (JMIR Publications Inc., Toronto, Canada)-Vol. 22, Iss: 8
TL;DR: CMH is a promising research field to present novel approaches to assist in the management, treatment, and diagnosis of mental health issues that can help overcome existing mental health care delivery barriers.
Abstract: Background: Although mental health issues constitute an increasing global burden affecting a large number of people, the mental health care industry is still facing several care delivery barriers such as stigma, education, and cost. Connected mental health (CMH), which refers to the use of information and communication technologies in mental health care, can assist in overcoming these barriers.
Objective: The aim of this systematic mapping study is to provide an overview and a structured understanding of CMH literature available in the Scopus database.
Methods: A total of 289 selected publications were analyzed based on 8 classification criteria: publication year, publication source, research type, contribution type, empirical type, mental health issues, targeted cohort groups, and countries where the empirically evaluated studies were conducted.
Results: The results showed that there was an increasing interest in CMH publications; journals were the main publication channels of the selected papers; exploratory research was the dominant research type; advantages and challenges of the use of technology for mental health care were the most investigated subjects; most of the selected studies had not been evaluated empirically; depression and anxiety were the most addressed mental disorders; young people were the most targeted cohort groups in the selected publications; and Australia, followed by the United States, was the country where most empirically evaluated studies were conducted.
Conclusions: CMH is a promising research field to present novel approaches to assist in the management, treatment, and diagnosis of mental health issues that can help overcome existing mental health care delivery barriers. Future research should be shifted toward providing evidence-based studies to examine the effectiveness of CMH solutions and identify related issues.
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TL;DR: In this paper , a systematic meta-review of meta-analyses examining mobile phone-based interventions tested in randomized controlled trials was conducted, and the authors synthesized results from 14 meta-analysis representing 145 randomized controlled trial and 47,940 participants and graded the strength of the evidence using umbrella review methodology.
Abstract: Mobile phone-based interventions have been proposed as a means for reducing the burden of disease associated with mental illness. While numerous randomized controlled trials and meta-analyses have investigated this possibility, evidence remains unclear. We conducted a systematic meta-review of meta-analyses examining mobile phone-based interventions tested in randomized controlled trials. We synthesized results from 14 meta-analyses representing 145 randomized controlled trials and 47,940 participants. We identified 34 effect sizes representing unique pairings of participants, intervention, comparisons, and outcome (PICO) and graded the strength of the evidence as using umbrella review methodology. We failed to find convincing evidence of efficacy (i.e., n > 1000, p < 10-6, I2 < 50%, absence of publication bias); publication bias was rarely assessed for the representative effect sizes. Eight effect sizes provided highly suggestive evidence (i.e., n > 1000, p < 10-6), including smartphone interventions outperforming inactive controls on measures of psychological symptoms and quality of life (ds = 0.32 to 0.47) and text message-based interventions outperforming non-specific controls and active controls for smoking cessation (ds = 0.31 and 0.19, respectively). The magnitude of effects and strength of evidence tended to diminish as comparison conditions became more rigorous (i.e., inactive to active, non-specific to specific). Four effect sizes provided suggestive evidence, 14 effect sizes provided weak evidence, and eight effect sizes were non-significant. Despite substantial heterogeneity, no moderators were identified. Adverse effects were not reported. Taken together, results support the potential of mobile phone-based interventions and highlight key directions to guide providers, policy makers, clinical trialists, and meta-analysts working in this area.
57 citations
TL;DR: In this article , the authors conducted a systematic mapping study that covers the literature published between January 2012 and December 2019 regarding using 5G in smart cities, including scenarios, architecture, technologies, challenges, and lessons learned.
Abstract: 5G is the fifth generation wireless network, with a set of characteristics, such as high bandwidth and data rates, massive connectivity, broad coverage, and low latency. The scenarios of using 5G include enhanced Mobile Broadband (eMBB), massive Machine Type Communications (mMTC), and ultra-Reliable and Low-Latency Communications (uRLLC). 5G is expected to support a wide variety of applications, such as city management, healthcare, transportation, agriculture, and energy management. In this paper, we conducted a systematic mapping study that covers the literature published between January 2012 and December 2019 regarding using 5G in smart cities. The scenarios, architecture, technologies, challenges, and lessons learned of using 5G in smart cities are summarized and further analyzed based on 32 selected studies, and the results are that: (1) The studies are distributed over 27 publication venues. 17 studies report results based on academic studies and 13 studies use demonstration or toy examples. Only 2 studies report using 5G in smart cities based on industrial studies. 16 studies include assumptions of 5G network design or smart city scenarios. (2) The most discussed smart city scenario is transportation, followed by public safety, healthcare, city tourism, entertainment, and education. (3) 28 studies propose and/or discuss the architecture of 5G-enabled smart cities, containing smart city architecture (treating 5G as a component), 5G network architecture in smart cities, and business architecture of using 5G in smart cities. (4) The most mentioned 5G-related technologies are radio access technologies, network slicing, and edge computing. (5) Challenges are mainly about complex context, challenging requirements, and network development of using 5G in smart cities. (6) Most of the lessons learned identified are benefits regarding 5G itself or the proposed 5G-related methods in smart cities. This work provides a reflection of the past eight years of the state of the art on using 5G in smart cities, which can benefit both researchers and practitioners in this field.
16 citations
TL;DR: A systematic literature review of publications presenting empirically evaluated biofeedback-based interventions for anxiety was conducted as mentioned in this paper, where 13 publications presented different interventions were investigated, and the outcomes from the empirical evaluations yielded positive results and emphasized the effectiveness of connected mental health solutions using bio-feedback for anxiety; however, certain unfavorable outcomes such as interventions not having an effect on anxiety and patients preferring traditional therapy, were reported in studies addressing patients with specific physical health issues.
Abstract: Background: Connected mental health, which refers to the use of technology for mental health care and technology-based therapeutic solutions, has become an established field of research. Biofeedback is one of the approaches used in connected mental health solutions, which is mainly based on the analysis of physiological indicators for the assessment and management of the psychological state. Biofeedback is recommended by many therapists and has been used for conditions including depression, insomnia, and anxiety. Anxiety is associated with several physiological symptoms, including muscle tension and breathing issues, which makes the inclusion of biofeedback useful for anxiety detection and management.
Objective: The aim of this study was to identify interventions using biofeedback as a part of their process for anxiety management and investigate their perceived effectiveness.
Methods: A systematic literature review of publications presenting empirically evaluated biofeedback-based interventions for anxiety was conducted. The systematic literature review was based on publications retrieved from IEEE Digital Library, PubMed, ScienceDirect, and Scopus. A preliminary selection of papers was identified, examined, and filtered to include only relevant publications. Studies in the final selection were classified and analyzed to extract the modalities of use of biofeedback in the identified interventions, the types of physiological data that were collected and analyzed and the sensors used to collect them. Processes and outcomes of the empirical evaluations were also extracted.
Results: After final selection, 13 publications presenting different interventions were investigated. The interventions addressed either primarily anxiety disorders or anxiety associated with health issues such as migraine, Parkinson disease, and rheumatology. Solutions combined biofeedback with other techniques including virtual reality, music therapy, games, and relaxation practices and used different sensors including cardiovascular belts, wrist sensors, or stretch sensors to collect physiological data such as heart rate, respiration indicators, and movement information. The interventions targeted different cohorts including children, students, and patients. Overall, outcomes from the empirical evaluations yielded positive results and emphasized the effectiveness of connected mental health solutions using biofeedback for anxiety; however, certain unfavorable outcomes, such as interventions not having an effect on anxiety and patients’ preferring traditional therapy, were reported in studies addressing patients with specific physical health issues.
Conclusions: The use of biofeedback in connected mental health interventions for the treatment and management of anxiety allows better screening and understanding of both psychological and physiological patient information, as well as of the association between the two. The inclusion of biofeedback could improve the outcome of interventions and boost their effectiveness; however, when used with patients suffering from certain physical health issues, suitability investigations are needed.
15 citations
TL;DR: In this article , an exploratory mapping review was conducted of mental health journals with the explicit scope of covering e-mental health technology, and the human-centered design approaches reported and the core elements of design activity (i.e., object, context, design process, and actors involved) were examined among the eligible studies.
Abstract: Digital mental health interventions have a great potential to alleviate mental illness and increase access to care. However, these technologies face significant challenges, especially in terms of user engagement and adoption. It has been suggested that this issue stems from a lack of user perspective in the development process; accordingly, several human-centered design approaches have been developed over the years to consider this important aspect. Yet, few human-centered design approaches to digital solutions exist in the field of mental health, and rarely are end users involved in their development.The main objective of this literature review is to understand how human-centered design is considered in e-mental health intervention research.An exploratory mapping review was conducted of mental health journals with the explicit scope of covering e-mental health technology. The human-centered design approaches reported and the core elements of design activity (ie, object, context, design process, and actors involved) were examined among the eligible studies.A total of 30 studies met the inclusion criteria, of which 22 mentioned using human-centered design approaches or specific design methods in the development of an e-mental health solution. Reported approaches were classified as participatory design (11/27, 41%), codesign (6/27, 22%), user-centered design (5/27, 19%), or a specific design method (5/27, 19%). Just over half (15/27, 56%) of the approaches mentioned were supported by references. End users were involved in each study to some extent but not necessarily in designing. About 27% (8/30) of all the included studies explicitly mentioned the presence of designers on their team.Our results show that some attempts have indeed been made to integrate human-centered design approaches into digital mental health technology development. However, these attempts rely very little on designers and design research. Researchers from other domains and technology developers would be wise to learn the underpinnings of human-centered design methods before selecting one over another. Inviting designers for assistance when implementing a particular approach would also be beneficial. To further motivate interest in and use of human-centered design principles in the world of e-mental health, we make nine suggestions for better reporting of human-centered design approaches in future research.
7 citations
26 Jul 2021
TL;DR: Telepsychiatry tended to perform at least as well as in-person care regarding improvement in depression severity, patient satisfaction, quality of life, functioning, cost-effectiveness, and most other perceptions and variables.
Abstract: Background: Depression is a common disorder, and it creates burdens on people’s mental and physical health as well as societal costs. Although traditional in-person consultations are the usual mode of caring for patients with depression, telemedicine may be well suited to psychiatric assessment and management. Telepsychiatry can be defined as the use of information and communication technologies such as videoconferencing and telephone calls for the care of psychopathologies.
Objective: This review aims to evaluate the extent and nature of the existing literature on the use of telemedicine for the care of depression by physicians. This review also aims to examine the effects and perceptions regarding this virtual care and determine how it compares to traditional in-person care.
Methods: The Arksey and O’Malley framework and the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines were followed. Relevant articles were identified through a search of three databases (MEDLINE, Cochrane Database of Systematic Reviews, and PsycArticles) on October 11, 2020. The search terms were “(virtual OR telemedicine OR teleconsultation* OR telehealth OR phone* OR webcam* OR telepsychiatry) AND (depress*)”. Eligibility criteria were applied to select studies about the use of telemedicine for the care of patients with depression specifically by physicians. An Excel file (Microsoft Corporation) was used to chart data from all included articles.
Results: The search resulted in the identification of 28 articles, and all 13 nonreview studies were analyzed in detail. Most nonreview studies were conducted in the United States during the last decade. Most telemedicine programs were led by psychiatrists, and the average study population size was 135. In all applicable studies, telepsychiatry tended to perform at least as well as in-person care regarding improvement in depression severity, patient satisfaction, quality of life, functioning, cost-effectiveness, and most other perceptions and variables. Cultural sensitivity and collaborative care were part of the design of some telemedicine programs.
Conclusions: Additional randomized, high-quality studies are recommended to evaluate various outcomes of the use of telemedicine for depression care, including depression variables, perceptions, health care outcomes and other outcomes. Studies should be conducted in various clinical contexts, including primary care. Telepsychiatry is a promising modality of care for patients suffering from depression.
5 citations
Cites background from "Connected Mental Health: Systematic..."
...Other terms such as telemental health, e-mental health, and connected mental health could also be used to describe related concepts [8]....
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References
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TL;DR: Mental health affects progress towards the achievement of several Millennium Development Goals, such as promotion of gender equality and empowerment of women, reduction of child mortality, improvement of maternal health, and reversal of the spread of HIV/AIDS.
2,943 citations
"Connected Mental Health: Systematic..." refers background in this paper
...Mental health issues can decrease the quality of life [1,2], increase the risk of communicable and noncommunicable diseases, and contribute to both unintentional and intentional injury [3]....
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26 Jun 2008
TL;DR: This work describes how to conduct a systematic mapping study in software engineering and provides guidelines for conducting systematic maps, and compares systematic maps with systematic reviews by systematically analyzing existing systematic reviews.
Abstract: BACKGROUND: A software engineering systematic map is a defined method to build a classification scheme and structure a software engineering field of interest. The analysis of results focuses on frequencies of publications for categories within the scheme. Thereby, the coverage of the research field can be determined. Different facets of the scheme can also be combined to answer more specific research questions.
OBJECTIVE: We describe how to conduct a systematic mapping study in software engineering and provide guidelines. We also compare systematic maps and systematic reviews to clarify how to chose between them. This comparison leads to a set of guidelines for systematic maps.
METHOD: We have defined a systematic mapping process and applied it to complete a systematic mapping study. Furthermore, we compare systematic maps with systematic reviews by systematically analyzing existing systematic reviews.
RESULTS: We describe a process for software engineering systematic mapping studies and compare it to systematic reviews. Based on this, guidelines for conducting systematic maps are defined.
CONCLUSIONS: Systematic maps and reviews are different in terms of goals, breadth, validity issues and implications. Thus, they should be used complementarily and require different methods (e.g., for analysis).
2,486 citations
"Connected Mental Health: Systematic..." refers methods in this paper
...This study follows the mapping process proposed by Petersen et al [33]....
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TL;DR: This work proposes a population-based, youth focused model, explicitly integrating mental health with other youth health and welfare expertise, and challenges to addressing mental- health needs include the shortage of mental-health professionals, the fairly low capacity and motivation of non-specialist health workers, and the stigma associated with mental disorder.
2,249 citations
"Connected Mental Health: Systematic..." refers background in this paper
...They may also cause, among other issues, lower educational achievements, substance abuse, and violence [4]....
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TL;DR: Strategies for improving help-seeking by adolescents and young adults should focus on improving mental health literacy, reducing stigma, and taking into account the desire of young people for self-reliance.
Abstract: Adolescents and young adults frequently experience mental disorders, yet tend not to seek help. This systematic review aims to summarise reported barriers and facilitators of help-seeking in young people using both qualitative research from surveys, focus groups, and interviews and quantitative data from published surveys. It extends previous reviews through its systematic research methodology and by the inclusion of published studies describing what young people themselves perceive are the barriers and facilitators to help-seeking for common mental health problems. Twenty two published studies of perceived barriers or facilitators in adolescents or young adults were identified through searches of PubMed, PsycInfo, and the Cochrane database. A thematic analysis was undertaken on the results reported in the qualitative literature and quantitative literature. Fifteen qualitative and seven quantitative studies were identified. Young people perceived stigma and embarrassment, problems recognising symptoms (poor mental health literacy), and a preference for self-reliance as the most important barriers to help-seeking. Facilitators were comparatively under-researched. However, there was evidence that young people perceived positive past experiences, and social support and encouragement from others as aids to the help-seeking process. Strategies for improving help-seeking by adolescents and young adults should focus on improving mental health literacy, reducing stigma, and taking into account the desire of young people for self-reliance.
2,183 citations
"Connected Mental Health: Systematic..." refers background in this paper
...Among the barriers and challenges that threaten the mental health care industry are cost issues [9], shortage of mental health care providers, health plan barriers, lack of coverage or inadequate coverage [10], stigma, and poor mental health literacy [11]....
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Journal Article•
TL;DR: The authors proposed a population-based, youth focused model, explicitly integrating mental health with other youth health and welfare expertise to address young people's mental-health needs, which is crucial if they are to fulfil their potential and contribute fully to the development of their communities.
2,082 citations