Effectiveness of Social Media Interventions for People With Schizophrenia: A Systematic Review and Meta-Analysis

Effectiveness of online social networking interventions on social isolation and quality of life of people with psychosis: A systematic review

BACKGROUND

Social isolation is frequent in people with psychosis, contributing to negative health outcomes. Interventions including online social networking (OSN) may overcome some psychosis-related barriers and facilitate social interactions. However, evidence is currently sparse and needs to be collated in a systematic review to better understand effectiveness.

METHOD

Following PRISMA guidelines, this review yielded 9835 results. Eleven publications, reporting data from five RCTs and six non-controlled studies, met the inclusion criteria. Two independent reviewers undertook data extraction and quality assessment, with results narratively synthesised.

RESULTS

This review looked broadly at interventions including either purpose-build platforms for peer-to-peer interactions or existing OSN tools. Yet, we only identified interventions utilising purpose-designed platforms. Early small-scale studies suggested OSN interventions reduced social isolation, but larger effectiveness studies did not confirm these effects. No improvements in quality-of-life outcomes were identified.

CONCLUSION

Higher quality and longer-term studies did not support effectiveness of current OSN interventions in reducing social isolation or improving quality of life of people with psychosis. These interventions used purpose-built platforms and encouraged OSN between selected individuals, which may explain these outcomes. Future research may explore promoting safe use of mainstream OSN platforms to expand the social networks of individuals with psychosis.

Social networks use in the context of Schizophrenia: a review of the literature

Schizophrenia is a persistent mental health condition that, while presenting challenges, underscores the dynamic nature of cognitive functions and encourages a unique perspective on how individuals engage with their surroundings. Social networks, as a means of communication of great importance at the present time, are for this type of people a way of interacting with their environment with a high level of security. The aim is to find out how schizophrenia is dealt with in different social networks and to differentiate between different types of articles dealing with the use of Facebook, X (former Twitter), YouTube, TikTok, Instagram, and Weibo. A total of 45 articles to i) Social networks used, ii) Country of analyzed users, iii) age of the users analyzed, iv) focus of the analyzed manuscript (mental health literacy, stigmatization, detection of patterns associated with schizophrenia, and Harmful substance use). It was observed that 45.45% of the studies analyzed were conducted in the USA population, followed by UK and China (13.64%). The most analyzed social networks were those based on audiovisual communication (60%). Furthermore, the two main foci addressed in these articles were: stigmatization of schizophrenia with 16 articles (35.55%), following by the prediction of schizophrenia-detecting patterns with 15 articles (33.33%) and the use of social networks to stigmatize people with schizophrenia (38%) and only 14 articles (31.11%) were focused on mental health literacy. Likewise, it was found that there is great potential in the use of the analysis of the content generated, as possible predictors of the presence of this disease, which would allow rapid detection and intervention for psychosis and schizophrenia.

Efficacy of technology-based interventions in psychosis: a systematic review and network meta-analysis

BACKGROUND

Technology-based interventions (TBIs) are a useful approach when attempting to provide therapy to more patients with psychosis.

METHODS

Randomized controlled trials of outcomes of TBIs v. face-to-face interventions in psychosis were identified in a systematic search conducted in PubMed/Ovid MEDLINE. Data were extracted independently by two researchers, and standardized mean changes were pooled using a three-level model and network meta-analysis.

RESULTS

Fifty-eight studies were included. TBIs complementing treatment as usual (TAU) were generally superior to face-to-face interventions (g = 0.16, p ≤ 0.0001) and to specific outcomes, namely, neurocognition (g = 0.13, p ≤ 0.0001), functioning (g = 0.25, p = 0.006), and social cognition (g = 0.32, p ≤ 0.05). Based on the network meta-analysis, the effect of two TBIs differed significantly from zero; these were the TBIs cognitive training for the neurocognitive outcome [g = 0.16; 95% confidence interval (CI) 0.09-0.23] and cognitive behavioral therapy for quality of life (g = 1.27; 95% CI 0.46-2.08). The variables educational level, type of medication, frequency of the intervention, and contact during the intervention moderated the effectiveness of TBIs over face-to-face interventions in neurocognition and symptomatology.

CONCLUSIONS

TBIs are effective for the management of neurocognition, symptomatology, functioning, social cognition, and quality of life outcomes in patients with psychosis. The results of the network meta-analysis showed the efficacy of some TBIs for neurocognition, symptomatology, and quality of life. Therefore, TBIs should be considered a complement to TAU in patients with psychosis.

Cross-Platform Detection of Psychiatric Hospitalization via Social Media Data: Comparison Study

BACKGROUND

Previous research has shown the feasibility of using machine learning models trained on social media data from a single platform (eg, Facebook or Twitter) to distinguish individuals either with a diagnosis of mental illness or experiencing an adverse outcome from healthy controls. However, the performance of such models on data from novel social media platforms unseen in the training data (eg, Instagram and TikTok) has not been investigated in previous literature.

OBJECTIVE

Our study examined the feasibility of building machine learning classifiers that can effectively predict an upcoming psychiatric hospitalization given social media data from platforms unseen in the classifiers' training data despite the preliminary evidence on identity fragmentation on the investigated social media platforms.

METHODS

Windowed timeline data of patients with a diagnosis of schizophrenia spectrum disorder before a known hospitalization event and healthy controls were gathered from 3 platforms: Facebook (254/268, 94.8% of participants), Twitter (51/268, 19% of participants), and Instagram (134/268, 50% of participants). We then used a 3 × 3 combinatorial binary classification design to train machine learning classifiers and evaluate their performance on testing data from all available platforms. We further compared results from models in intraplatform experiments (ie, training and testing data belonging to the same platform) to those from models in interplatform experiments (ie, training and testing data belonging to different platforms). Finally, we used Shapley Additive Explanation values to extract the top predictive features to explain and compare the underlying constructs that predict hospitalization on each platform.

RESULTS

We found that models in intraplatform experiments on average achieved an F₁-score of 0.72 (SD 0.07) in predicting a psychiatric hospitalization because of schizophrenia spectrum disorder, which is 68% higher than the average of models in interplatform experiments at an F₁-score of 0.428 (SD 0.11). When investigating the key drivers for divergence in construct validities between models, an analysis of top features for the intraplatform models showed both low predictive feature overlap between the platforms and low pairwise rank correlation (<0.1) between the platforms' top feature rankings. Furthermore, low average cosine similarity of data between platforms within participants in comparison with the same measurement on data within platforms between participants points to evidence of identity fragmentation of participants between platforms.

CONCLUSIONS

We demonstrated that models built on one platform's data to predict critical mental health treatment outcomes such as hospitalization do not generalize to another platform. In our case, this is because different social media platforms consistently reflect different segments of participants' identities. With the changing ecosystem of social media use among different demographic groups and as web-based identities continue to become fragmented across platforms, further research on holistic approaches to harnessing these diverse data sources is required.

Effectiveness of personal recovery facilitators in adults with schizophrenia and other psychoses: A systematic review of reviews and narrative synthesis

This review aimed to examine the evidence base for the use of personal recovery facilitators [non-psychopharmacological approaches] for adults with a diagnosis of schizophrenia and other psychoses. A systematic review (umbrella review) was conducted of reviews published in English between January 2010 and February 2022, which examined the effectiveness of personal recovery facilitators to support aspects of personal recovery as defined by the CHIME framework (connectedness, hope and optimism, identity, meaning and purpose, and empowerment). Twenty-one systematic reviews on thirteen different types of personal recovery facilitators [PRFs] were included in this umbrella review. Only one review sought to directly measure personal recovery processes according to the CHIME framework. Outcome measures mostly aligned with the processes of hope (21 reviews) and connectedness (19 reviews). Those related to empowerment (2 reviews), identity (5 reviews) and meaning and purpose (1 review) were less frequently the focus of PRFs. Yoga and music therapy showed the most promise as PRFs. Vocational treatments and integrated supported employment show good potential as personal recovery facilitators. However, together with narrative photovoice, art making and exhibition, they require further robust research to fully examine their impact. Personal recovery is only beginning to be considered as an intended outcome of interventions for persons with schizophrenia and other psychoses. This may be due in part to the continued predominance of the biomedical model approach to recovery within statutory services. Future evaluations of PRFs should include outcome measures that directly assess personal recovery according to the CHIME framework or other measures developed in consultation with recipients of these approaches. Review registration number and date: PROSPERO 2020 CRD42020215471: 10/11/20.

Social Media as It Interfaces with Psychosocial Development and Mental Illness in Transitional-Age Youth

Social media (SM) can be defined as "a group of Internet-based applications that allow the creation and exchange of user-generated content." This includes formation of online communities and sharing of information, ideas, opinions, messages, images, and videos. Therefore, although all online video games would not necessarily count as SM, video games that allow for substantial sharing of information and development of online communities do fit this definition. SM has become an integral component of how people worldwide connect with friends and family, share personal content, and obtain news and entertainment. Use of SM is particularly prevalent among transitional-age youth, usually defined as individuals aged 16 to 24 years, who are at critical junctures around developmental tasks such as identity development and establishment of social norms.

Preferences for WeChat-Based and Hospital-Based Family Intervention Among Caregivers of People Living with Schizophrenia

PURPOSE

This study examines the preferences for WeChat-based and hospital-based family intervention among caregivers of people living with schizophrenia (PLS) and identify correlates associated with these preferences.

PATIENTS AND METHODS

A cross-sectional study was conducted with 449 family caregivers of PLS. Face-to-face interviews were conducted to collect information on socio-demographics, preferences for WeChat-based and hospital-based family intervention, social support, and coping.

RESULTS

Over 72.16% of participants endorsed hospital-based family intervention, while 50.11% endorsed WeChat-based family intervention. Endorsement of WeChat-based family intervention was associated with younger age (OR=0.42, 95% CI: 0.22, 0.79), WeChat use (OR=12.90, 95% CI: 7.48, 22.23), and higher social support (OR=1.03, 95% CI: 1.01, 1.04). Endorsement of hospital-based family intervention was associated with lower education (OR=0.19-0.37, 95% CI: 0.07, 0.66) and WeChat use (OR=3.27, 95% CI: 1.91, 5.59).

CONCLUSION

The studies showed a higher endorsement rate for hospital-based family intervention than WeChat-based family intervention and provide implications for developing targeted family intervention programs based on participants' own unique characteristics.

Interventions to Mitigate COVID-19 Misinformation: A Systematic Review and Meta-Analysis

The duration and impact of the COVID-19 pandemic depends largely on individual and societal actions which are influenced by the quality and salience of the information to which they are exposed. Unfortunately, COVID-19 misinformation has proliferated. Despite growing attempts to mitigate COVID-19 misinformation, there is still uncertainty regarding the best way to ameliorate the impact of COVID-19 misinformation. To address this gap, the current study uses a meta-analysis to evaluate the relative impact of interventions designed to mitigate COVID-19-related misinformation. We searched multiple databases and gray literature from January 2020 to September 2021. The primary outcome was COVID-19 misinformation belief. We examined study quality and meta-analysis was used to pool data with similar interventions and outcomes. 16 studies were analyzed in the meta-analysis, including data from 33378 individuals. The mean effect size of interventions to mitigate COVID-19 misinformation was positive, but not statistically significant [d = 2.018, 95% CI (-0.14, 4.18), p = .065, k = 16]. We found evidence of publication bias. Interventions were more effective in cases where participants were involved with the topic, and where text-only mitigation was used. The limited focus on non-U.S. studies and marginalized populations is concerning given the greater COVID-19 mortality burden on vulnerable communities globally. The findings of this meta-analysis describe the current state of the literature and prescribe specific recommendations to better address the proliferation of COVID-19 misinformation, providing insights helpful to mitigating pandemic outcomes.

How to make online mood-monitoring in bipolar patients a success? A qualitative exploration of requirements

Background

The Life-Chart Method (LCM) is an effective self-management treatment option in bipolar disorder (BD). There is insufficient knowledge about the consumers’ needs and desires for an e-monitoring solution. The first step towards a new mood monitoring application is an extended inventory among consumers and professionals.

Methods

The aim of the current study was: to identify opinions about online mood monitoring of patients with BD and professionals and to identify preferences on design, technical features and options facilitating optimal use and implementation of online mood monitoring. This study used a qualitative design with focus-groups. Participants were recruited among patients and care providers. Three focus-groups were held with eight consumers and five professionals.

Results

The focus-group meetings reveal a shared consciousness of the importance of using the Life-Chart Method for online mood monitoring. There is a need for personalization, adjustability, a strict privacy concept, an adjustable graphic report, and a link to early intervention strategies in the design. Due to the fact that this is a qualitative study with a relative small number of participants, so it remains unclear whether the results are fully generalizable. We can’t rule out a selection bias.

Conclusions

This study demonstrates the importance of involving stakeholders in identifying a smartphone-based mood charting applications’ requirements. Personalization, adjustability, privacy, an adjustable graphic report, and a direct link to early intervention strategies are necessary requirements for a successful design. The results of this value specification are included in the follow-up of this project.

Development of Reporting Guidelines for Social Media Research (RESOME) using a modified Delphi Method: Study protocol (Preprint)

Background

Objective

Methods

Results

Conclusions

International Registered Report Identifier (IRRID)

Dog and cat owners' use of online Facebook groups for pet health information

BACKGROUND

Facebook is a frequently used social media platform and is often used for human health information, yet little research has been conducted on how pet owners use Facebook pet groups to obtain and share pet health information.

METHOD

This study was designed to assess how pet owners use dog and cat Facebook groups to provide and receive pet health advice and their perception of these groups' trustworthiness. Two comparable questionnaires (dog and cat owners) were developed and distributed through an online survey platform.

RESULTS

Results suggest that Facebook groups are a common source of pet health information, with 56.2% of dog owners and 51.8% of cat owners reporting receiving health information through Facebook groups. Similar numbers report giving health information through Facebook groups: 55.0% of dog owners and 57.9% of cat owners. Dog health information most commonly exchanged related to dermatology, gastroenterology and orthopaedics and the most common cat health information focused on gastroenterology, renal and urinary-related issues. While the majority of Facebook users report feeling that Facebook groups are not a trustworthy source of pet health information, a substantial minority of users do appear to be influenced by these groups.

CONCLUSION

Approximately 50% of cat and dog owning respondents either give or receive pet health advice through Facebook groups. These results suggest that many owners deem Facebook groups as useful, but not entirely trustworthy, sources of information.

Achieving better outcomes for schizophrenia patients in Hong Kong: Strategies for improving treatment adherence

Recent research on second-generation long-acting injectable antipsychotics (LAI SGAs) has proven its effectiveness in minimizing medication nonadherence problem and reducing relapses. Administered by medical professionals, making quick detection of nonadherence possible, long-acting injectable antipsychotics (LAIs) facilitate immediate intervention and recovery process, and thus are favored by psychiatrists. Despite a higher initial cost with LAIs, the subsequent schizophrenia-related health costs for hospitalizations and outpatients are greatly reduced. With reference to guidelines published by psychiatric associations around the globe, this article looks at scenarios in Hong Kong on the management of severe mentally ill patients with regard to the use of a host of psychosocial interventions as well as LAI SGAs as a preferable treatment. In particular, it examines the benefits of using LAI SGAs for Hong Kong patients who demonstrated high nonadherence treatment rates due to their social environment. It assesses the rationale behind the early usages of LAI SGAs, which help to provide better recovery outcomes for patients.

To What Extent is Internet Activity Predictive of Psychological Well-Being?

BACKGROUND

Healthy internet activity (eg, making use of eHealth and online therapy) is positively associated with well-being. However, unhealthy internet activity (too much online time, problematic internet use/PIU, internet dependency/ID, etc.) is associated with reduced well-being, loneliness, and other related negative aspects. While most of the evidence is correlational, some research also shows that internet activity can be predictive for well-being.

OBJECTIVE

The aim of this article is to elaborate on the question as to what extent internet activity is predictive of psychological well-being by means of (a) a scoping review and (b) theoretical understanding which model the interrelation of internet activity and psychological well-being.

METHODOLOGY

We searched different electronic databases such as Web of Science by using the search terms "Internet" OR "App" OR "digital" OR "online" OR "mobile application" AND "Use" OR "Activity" OR "Behavior" OR "Engagement" AND "Well-being" OR "Loneliness" for (a, the scoping review) or CCAM for (b, the theoretical understanding).

RESULTS

The scoping review (a) summarizes recent findings: the extent to which internet activity is predictive for well-being depends on the internet activity itself: internet activity facilitating self-management is beneficial for well-being but too much internet activity, PIU and ID are detrimental to well-being. To understand (b) why, when and how internet activity is predictive for well-being, theoretical understanding and a model are required. While theories on either well-being or internet activity exist, not many theories take both aspects into account while also considering other behaviors. One such theory is the Compensatory Carry-Over Action Model (CCAM) which describes mechanisms on how internet use is related to other lifestyle behaviors and well-being, and that individuals are driven by the goal to adopt and maintain well-being - also called higher-level goals - in the CCAM. There are few studies testing the CCAM or selected aspects of it which include internet activity and well-being. Results demonstrate the potentials of such a multifactorial, sophisticated approach: it can help to improve health promotion in times of demographic change and in situations of lacking personnel resources in health care systems.

CONCLUSION AND RECOMMENDATION

Suggestions for future research are to employ theoretical approaches like the CCAM and testing intervention effects, as well as supporting individuals in different settings. The main aim should be to perform healthy internet activities to support well-being, and to prevent unhealthy internet activity. Behavior management and learning should accordingly aim at preventing problematic internet use and internet dependency.

The emergence of digital mental health in low-income and middle-income countries: A review of recent advances and implications for the treatment and prevention of mental disorders

In low-income and middle-income countries (LMICs), emerging digital mental health interventions should be accompanied by regular and comprehensive assessment of available scientific evidence. This review aims to support efforts to monitor progress in digital mental health research, ensuring new evidence can guide researchers, clinicians, policymakers and program managers positioned to adopt and implement these digitally-enabled treatments. In accordance with PRISMA guidelines, an electronic database search from 2016 to 2020 yielded 37 digital intervention studies for detection, diagnosis, prevention, treatment, and/or management of a broad range of mental disorders in 13 LMICs. This date range was selected to update previous reviews. Most studies involved online interventions and many reported feasibility and acceptability, reflected by participant satisfaction or program adherence. About half the studies (N = 23) reported clinical benefits based on changes in mental health. For depression and mood disorders, some digital interventions showed improvements in depressive symptoms, quality of life, treatment adherence, and recovery. However, sample sizes were small and studies focused primarily on adults. Further limiting generalizability was the lack of consistency in clinical assessment and measurement tools between studies. No studies reported worsening symptoms, negative acceptability or dissatisfaction with digital interventions, suggesting possible publication bias. While digital interventions show promise, it remains difficult to conclude that digital interventions are effective from these studies, as it is prudent to exercise caution before drawing conclusions about clinical effectiveness. This review reflects continued growth in digital mental health research in LMICs and further highlights the need for rigorous evaluation of effectiveness and cost-effectiveness.

New Path to Recovery and Well-Being: Cross-Sectional Study on WeChat Use and Endorsement of WeChat-Based mHealth Among People Living With Schizophrenia in China

Background

The past few decades have seen an exponential increase in using mobile phones to support medical care (mobile health [mHealth]) among people living with psychosis worldwide, yet little is known about WeChat use and WeChat-based mHealth among people living with schizophrenia (PLS) in China.

Objective

This study aims to assess WeChat use, endorsement of WeChat-based mHealth programs, and health related to WeChat use among PLS.

Methods

We recruited a random sample of 400 PLS from 12 communities in Changsha City of Hunan Province, China. WeChat use was assessed using the adapted WeChat Use Intensity Questionnaire (WUIQ). We also compared psychiatric symptoms, functioning, disability, recovery, quality of life, and general well-being between WeChat users and nonusers using one-to-one propensity-score matching.

Results

The WeChat use rate was 40.8% in this sample (163/400); 30.7% (50/163) had more than 50 WeChat friends and nearly half (81/163, 49.7%) spent more than half an hour on WeChat, a pattern similar to college students and the elderly. PLS also showed higher emotional connectedness to WeChat use than college students. About 80.4% (131/163) of PLS were willing to participate in a WeChat-based mHealth program, including psychoeducation (91/163, 55.8%), professional support (82/163, 50.3%), and peer support (67/163, 41.1%). Compared with nonusers, WeChat users were younger, better educated, and more likely to be employed. WeChat use was associated with improved health outcomes, including lower psychiatric symptoms, lower depression, higher functioning, better recovery, and higher quality of life.

Conclusions

WeChat-based mHealth programs hold promise as an empowering tool to provide cost-effective interventions, to foster global recovery, and to improve both physical and mental well-being among PLS. WeChat and WeChat-based mHealth programs have the potential to offer a new path to recovery and well-being for PLS in China.

Each post matters: a content analysis of #mentalhealth images on Instagram

This study examined mental health-related content on a popular visual-based social media platform, Instagram. A content analysis was completed by using the search term '#mentalhealth' on public Instagram posts (N = 758). Our data showed that wellness practices related to mental health (e.g. exercise, healthy eating), anxiety, and depression are the most addressed mental health topics on Instagram. Additionally, posts that mention at least one type of mental health problem seek peer support and engagement from other users at a higher rate compared to posts that do not mention mental health disorder or topic (beyond the search term #mentalhealth). We discussed these findings in detail, as well as their theoretical and practical implications and the limitations of this study. We also suggested avenues for further research to promote evidence-based health communication techniques tailored to current visual-based social media platforms.

Behavioral Interventions Using Consumer Information Technology as Tools to Advance Health Equity

The digital divide related to consumer information technologies (CITs) has diminished, thus increasing the potential to use CITs to overcome barriers of access to health interventions as well as to deliver interventions situated in the context of daily lives. However, the evidence base regarding the use and impact of CIT-enabled interventions in health disparity populations lags behind that for the general population. Literature and case examples are summarized to demonstrate the use of mHealth, telehealth, and social media as behavioral intervention platforms in health disparity populations, identify challenges to achieving their use, describe strategies for overcoming the challenges, and recommend future directions. The evidence base is emerging. However, challenges in design, implementation, and evaluation must be addressed for the promise to be fulfilled. Future directions include (1) improved design methods, (2) enhanced research reporting, (3) advancement of multilevel interventions, (4) rigorous evaluation, (5) efforts to address privacy concerns, and (6) inclusive design and implementation decisions.

Impact of Illness on Electronic Health Use (The Seventh Tromsø Study - Part 2): Population-Based Questionnaire Study

Background

Patients who suffer from different diseases may use different electronic health (eHealth) resources. Thus, those who plan eHealth interventions should take into account which eHealth resources are used most frequently by patients that suffer from different diseases.

Objective

The aim of this study was to understand the associations between different groups of chronic diseases and the use of different eHealth resources.

Methods

Data from the seventh survey of the Tromsø Study (Tromsø 7) were analyzed to determine how different diseases influence the use of different eHealth resources. Specifically, the eHealth resources considered were use of apps, search engines, video services, and social media. The analysis contained data from 21,083 participants in the age group older than 40 years. A total of 15,585 (15,585/21,083; 73.92%) participants reported to have suffered some disease, 10,604 (10,604/21,083; 50.29%) participants reported to have used some kind of eHealth resource in the last year, and 7854 (7854/21,083; 37.25%) participants reported to have used some kind of eHealth resource in the last year and suffered (or had suffered) from some kind of specified disease. Logistic regression was used to determine which diseases significantly predicted the use of each eHealth resource.

Results

The use of apps was increased among those individuals that (had) suffered from psychological problems (odds ratio [OR] 1.39, 95% CI 1.23-1.56) and cardiovascular diseases (OR 1.12, 95% CI 1.01-1.24) and those part-time workers that (had) suffered from any of the diseases classified as others (OR 2.08, 95% CI 1.35-3.32). The use of search engines for accessing health information increased among individuals who suffered from psychological problems (OR 1.39, 95% CI 1.25-1.55), cancer (OR 1.26, 95% CI 1.11-1.44), or any of the diseases classified as other diseases (OR 1.27, 95% CI 1.13-1.42). Regarding video services, their use for accessing health information was more likely when the participant was a man (OR 1.31, 95% CI 1.13-1.53), (had) suffered from psychological problems (OR 1.70, 95% CI 1.43-2.01), or (had) suffered from other diseases (OR 1.43, 95% CI 1.20-1.71). The factors associated with an increase in the use of social media for accessing health information were as follows: (had) suffered from psychological problems (OR 1.65, 95% CI 1.42-1.91), working part time (OR 1.35, 95% CI 0.62-2.63), receiving disability benefits (OR 1.42, 95% CI 1.14-1.76), having received an upper secondary school education (OR 1.20, 95% CI 1.03-1.38), being a man with a high household income (OR 1.67, 95% CI 1.07-2.60), suffering from cardiovascular diseases and having a high household income (OR 3.39, 95% CI 1.62-8.16), and suffering from respiratory diseases while being retired (OR 1.95, 95% CI 1.28-2.97).

Conclusions

Our findings show that different diseases are currently associated with the use of different eHealth resources. This knowledge is useful for those who plan eHealth interventions as they can take into account which type of eHealth resource may be used for gaining the attention of the different user groups.

Digital Innovations for Global Mental Health: Opportunities for Data Science, Task Sharing, and Early Intervention

PURPOSE

Globally, individuals living with mental disorders are more likely to have access to a mobile phone than mental health care. In this commentary, we highlight opportunities for expanding access to and use of digital technologies to advance research and intervention in mental health, with emphasis on the potential impact in lower resource settings.

RECENT FINDINGS

Drawing from empirical evidence, largely from higher income settings, we considered three emerging areas where digital technology will potentially play a prominent role: supporting methods in data science to further our understanding of mental health and inform interventions, task sharing for building workforce capacity by training and supervising non-specialist health workers, and facilitating new opportunities for early intervention for young people in lower resource settings. Challenges were identified related to inequities in access, threats of bias in big data analyses, risks to users, and need for user involvement to support engagement and sustained use of digital interventions.

SUMMARY

For digital technology to achieve its potential to transform the ways we detect, treat, and prevent mental disorders, there is a clear need for continued research involving multiple stakeholders, and rigorous studies showing that these technologies can successfully drive measurable improvements in mental health outcomes.

Young adults' perceptions of using wearables, social media and other technologies to detect worsening mental health: A qualitative study

Background

Technological interventions may help support and improve mental health. However young peoples’ perspectives on using different technologies to detect deteriorating mental health in those already diagnosed with a mental health condition is lacking. The study aim was to explore the perspectives of young patients on the feasibility and acceptability of using wearables, social media and technologies to detect mental health deterioration.

Methods

The study was co-produced with young adults with past mental health difficulties. Semi-structured interviews were conducted with young adults with a severe mental health condition in a private room at a community mental health site. Data was triangulated by comparing codes and ideas across the two co-researchers and two researchers over two virtual meetings. Themes were finalised and presented in a thematic map.

Results

Sixteen participants were interviewed (81% female). There were four main themes: dealing with mental health symptoms, signs of mental health deterioration, technology concerns and technological applications to identify worsening mental health. Wearables and mobile apps were considered acceptable and feasible to detect mental health deterioration in real-time if they could measure changes in sleep patterns, mood or activity levels as signs of deterioration. Getting help earlier was deemed essential particularly in reference to dissatisfaction with the current non-technological mental health services. However, patients identified issues to consider before implementation including practicality, safeguarding and patient preference.

Conclusion

Wearables and mobile apps could be viable technological options to help detect deterioration in young people in order to intervene early and avoid delay in accessing mental health services. However, immediate action following detection is required for the patient to trust and use the intervention.

Characterizing Consumer Behavior in Leveraging Social Media for E-Patient and Health-Related Activities

The emergence of e-patients has encouraged consumers, people who are non-medical experts, to be more engaged in healthcare needs by utilizing online sources via social media. However, the nature of social media and regulation issues have caused concerns for the reliability and validity of the shared information. These phenomena shape consumers behavior in leveraging social media for e-patient activities. This study investigates consumer behavior using an integrated model based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and the Protection Motivation Theory (PMT). The data collected from the participants (N = 312) was analyzed using partial least square structural equation modelling. The results showed that behavioral intention to use social media for e-patient activities was significantly affected by performance expectancy, effort expectancy, perceived severity, perceived susceptibility, and response efficacy; and that behavioral intention corresponded positively to usage intention. In addition, the results also indicate that the intention to use social media for health-related purposes is driven by awareness of preventing health problems and attempts to reduce the risk of developing an illness. Based on findings, this study recommends strategies and initiatives to optimize social media for promoting a healthy lifestyle and educating society about public health and healthcare management.

The Impact of a Web-Based Course Concerning Patient Education for Mental Health Care Professionals: Quasi-Experimental Study

BACKGROUND

Continuing education has an important role in supporting the competence of health care professionals. Although Web-based education is a growing business in various health sectors, few studies have been conducted in psychiatric settings to show its suitability in demanding work environments.

OBJECTIVE

We aimed to describe the impact of a Web-based educational course to increase self-efficacy, self-esteem, and team climate of health care professionals. Possible advantages and disadvantages of the Web-based course are also described.

METHODS

The study used nonrandomized, pre-post intervention design in 1 psychiatric hospital (3 wards). Health care professionals (n=33) were recruited. Self-efficacy, self-esteem, and team climate were measured at 3 assessment points (baseline, 8 weeks, and 6 months). Possible advantages and disadvantages were gathered with open-ended questions at the end of the course.

RESULTS

Our results of this nonrandomized, pre-post intervention study showed that health care professionals (n=33) had higher self-efficacy after the course, and the difference was statistically significant (mean 30.16, SD 3.31 vs mean 31.77, SD 3.35; P=.02). On the other hand, no differences were found in the self-esteem or team climate of the health care professionals before and after the course. Health care professionals found the Web-based course useful in supporting their work and relationships with patients. The tight schedule of the Web-based course and challenges in recruiting patients to use the patient education program with health care professionals were found to be the disadvantages.

CONCLUSIONS

Web-based education might be a useful tool to improve the self-efficacy of health care professionals even in demanding work environments such as psychiatric hospitals. However, more studies with robust and sufficiently powered data are still needed.

The Use of Social Networking Sites in Mental Health Interventions for Young People: Systematic Review

Background

The onset of mental health problems peaks between adolescence and young adulthood; however, young people face barriers to treatment and are often reluctant to seek professional help. Many are instead seeking support and information regarding their mental health via the Web, especially via social networking sites (SNSs), and hence, there is a promising opportunity to use SNSs to deliver or integrate with youth-focused online mental health interventions. Previous reviews have evaluated the effectiveness of SNSs for specific disorders in young people; however, none of the reviews have covered the breadth of SNS–based youth mental health interventions available across all mental health issues.

Objective

This review aimed to systematically identify available evidence regarding the use of SNS–based interventions to support the mental health of young people aged up to 25 years, to evaluate their effectiveness, suitability, and safety, and identify gaps and opportunities for future research.

Methods

The PubMed and PsycINFO databases were searched using Medical Subject Headings terms and exploded keywords and phrases. Retrieved abstracts (n=974) were double screened, yielding 235 articles for screening at the full-text level. Of these, 9 articles met the review inclusion criteria. Given the small number of studies, and the variety of outcome measures used, a quantitative meta-analysis was not possible.

Results

The 9 articles (quantitative studies, qualitative studies, and descriptions of the iterative design process) covered 5 separate interventions. Of the 5 interventions, 2 interventions used purpose-built platforms based on the moderated online social therapy (MOST) model, 2 used Facebook, and 1 evaluated a purpose-built mobile app. The 2 MOST interventions targeted specific mental health issues (depression and psychosis), whereas the others focused on improving mental health literacy, social support, and general well-being. Only 3 quantitative studies were identified, and all used a pre-post design (without a control group) to establish proof of concept. Of the outcome variables assessed, there were significant improvements in mental health knowledge and number of depressive symptoms but no improvement in anxiety or psychosis symptoms. Acceptability of and engagement with the SNS platforms were generally high, as were perceptions of usefulness and safety. Moderation by clinical experts was identified as a key component of the more successful interventions. When offered a choice, users showed a preference for mobile apps over Web-based interfaces.

Conclusions

The evidence reviewed suggests young people find SNS–based interventions highly usable, engaging, and supportive. However, future studies need to address the current lack of high-quality evidence for their efficacy in reducing mental health symptoms. Given young people are already turning to SNSs to engage in knowledge seeking and peer-to-peer support, SNS–based youth mental health interventions provide an opportunity to address some of the barriers young people face in accessing qualified mental health support and information.

Social media and its relationship with mood, self-esteem and paranoia in psychosis

OBJECTIVE

An evidence-base is emerging indicating detrimental and beneficial effects of social media. Little is known about the impact of social media use on people who experience psychosis.

METHOD

Forty-four participants with and without psychosis completed 1084 assessments of social media use, perceived social rank, mood, self-esteem and paranoia over a 6-day period using an experience sampling method (ESM).

RESULTS

Social media use predicted low mood, but did not predict self-esteem and paranoia. Posting about feelings and venting on social media predicted low mood and self-esteem and high paranoia, whilst posting about daily activities predicted increases in positive affect and self-esteem and viewing social media newsfeeds predicted reductions in negative affect and paranoia. Perceptions of low social rank when using social media predicted low mood and self-esteem and high paranoia. The impact of social media use did not differ between participants with and without psychosis; although, experiencing psychosis moderated the relationship between venting and negative affect. Social media use frequency was lower in people with psychosis.

CONCLUSION

Findings show the potential detrimental impact of social media use for people with and without psychosis. Despite few between-group differences, overall negative psychological consequences highlight the need to consider use in clinical practice.

Integrating Social Media in Modern Oncology Practice and Research

The widespread adoption and diffusion of social media provides oncology professionals with a unique and unprecedented opportunity to engage with the public. However, there remains a paucity of literature examining how clinicians and researchers can effectively use social media to complement modern oncology practice and research. In this review, we dissect the benefits and risks of professional social media use in oncology and offer several best practices for clinicians and researchers to achieve effective engagement. We also describe how to participate constructively in Twitter conversations at the time of medical or scientific conferences. Additionally, we demonstrate how to communicate appropriately and safely with patients and families online. Finally, we explore the exciting and nascent field of social media research and highlight the need to investigate its potential value in personalized cancer medicine.

A Survey of Online and Mobile Technology Use at Peer Support Agencies

Understanding how individuals with mental illness who receive services at peer support agencies use technology can inform the development of online and mobile health interventions tailored for users in these non-traditional mental health settings. The purpose of this study was to assess the use of technology among individuals with mental illness at peer support agencies. A survey delivered within peer support agencies (PSAs) in one state assessed technology use among individuals ages 18 and over with a self-identified mental illness receiving services at these agencies. In total, 195 individuals from 10 PSAs completed the survey. Eighty-two percent of respondents used the internet, with 63% of respondents connected to the internet at the PSAs. Eighty one percent of respondents owned a cell phone, 70% used text messaging, 58% owned smartphones, 61% used mobile applications, and 72% used social media. PSA users under age 55 were significantly more likely to own a smartphone than PSA users age 55 and older. Among internet users, 71% had searched for health information online and 57% had searched for mental health information online. Many individuals who receive services at PSAs have access to online and mobile technologies. These technologies may be leveraged to expand the reach of evidence-based health and mental health programs to individuals in these non-traditional mental health settings. Future research should explore the feasibility of intervention strategies that involve PSAs as a resource for linking people with mental illness to online and mobile support for their health and wellness goals.

Social Media Use in Interventions for Diabetes: Rapid Evidence-Based Review

Background

Health authorities recommend educating diabetic patients and their families and initiating measures aimed at improving self-management, promoting a positive behavior change, and reducing the risk of complications. Social media could provide valid channel to intervene in and deliver diabetes education. However, it is not well known whether the use of these channels in such interventions can help improve the patients’ outcomes.

Objective

The objective of our study was to review and describe the current existing evidence on the use of social media in interventions targeting people affected with diabetes.

Methods

A search was conducted across 4 databases (PubMed, Scopus, EMBASE, and Cochrane Library).The quality of the evidence of the included primary studies was graded according to the Grading of Recommendations Assessment, Development and Evaluation criteria, and the risk of bias of systematic reviews was assessed by drawing on AMSTAR (A MeaSurement Tool to Assess systematic Reviews) guidelines. The outcomes reported by these studies were extracted and analyzed.

Results

We included 20 moderate- and high-quality studies in the review: 17 primary studies and 3 systematic reviews. Of the 16 publications evaluating the effect on glycated hemoglobin (HbA_1c) of the interventions using social media, 13 reported significant reductions in HbA_1c values. The 5 studies that measured satisfaction with the interventions using social media found positive effects. We found mixed evidence regarding the effect of interventions using social media on health-related quality of life (2 publications found positive effects and 3 found no differences) and on diabetes knowledge or empowerment (2 studies reported improvements and 2 reported no significant changes).

Conclusions

There is very little good-quality evidence on the use of social media in interventions aimed at helping people with diabetes. However, the use of these channels is mostly linked to benefits on patients’ outcomes. Public health institutions, clinicians, and other stakeholders who aim at improving the knowledge of diabetic patients could consider the use of social media in their interventions.

Potential Benefits of Incorporating Peer-to-Peer Interactions Into Digital Interventions for Psychotic Disorders: A Systematic Review

OBJECTIVE

Peer-to-peer interactions and support groups mitigate experiences of social isolation and loneliness often reported by individuals with psychotic disorders. Online peer-to-peer communication can promote broader use of this form of social support. Peer-to-peer interactions occur naturally on social media platforms, but they can negatively affect mental health. Recent digital interventions for persons with psychotic disorders have harnessed the principles of social media to incorporate peer-to-peer communication. This review examined the feasibility, acceptability, and preliminary efficacy of recent digital interventions in order to identify strategies to maximize benefits of online peer-to-peer communication for persons with psychotic disorders.

METHODS

An electronic database search of PubMed, EMBASE, PsycINFO, Ovid MEDLINE, Cochrane Central Register of Controlled Trials, and Health Technology Assessment Database was conducted in February 2017 and yielded a total of 1,015 results. Eight publications that reported data from six independent trials and five interventions were reviewed.

RESULTS

The technology supporting peer-to-peer communication varied greatly across studies, from online forums to embedded social networking. When peer-to-peer interactions were moderated by facilitators, retention, engagement, acceptability, and efficacy were higher than for interventions with no facilitators. Individuals with psychotic disorders were actively engaged with moderated peer-to-peer communication and showed improvements in perceived social support. Studies involving service users in intervention design showed higher rates of acceptability.

CONCLUSIONS

Individuals with psychotic disorders value and benefit from digital interventions that include moderated peer-to-peer interactions. Incorporating peer-to-peer communication into digital interventions for this population may increase compliance with other evidence-based therapies by producing more acceptable and engaging online environments.

HARNESSING SOCIAL MEDIA FOR HEALTH INFORMATION MANAGEMENT

The remarkable upsurge of social media has dramatic impacts on health care research and practice in the past decade. Social media are reshaping health information management in a variety of ways, ranging from providing cost-effective ways to improve clinician-patient communication and exchange health-related information and experience, to enabling the discovery of new medical knowledge and information. Despite some demonstrated initial success, social media use and analytics for improving health as a research field is still at its infancy. Information systems researchers can potentially play a key role in advancing the field. This study proposes a conceptual framework for social media-based health information management by drawing on multi-disciplinary research. With the guidance of the framework, this research presents related research challenges, identifies important yet under-explored research issues, and discusses promising directions for future research.

Exploring online communication about cigarette smoking among Twitter users who self-identify as having schizophrenia

Novel approaches are needed to address elevated tobacco use among people with schizophrenia. This exploratory study examined the frequency, timing, and type of communication about tobacco-related content on Twitter among users who self-identify as having schizophrenia compared with users from the general population. Over a 200-day period from January to July 2016, Twitter users who self-identify as having a schizophrenia spectrum disorder (n = 203) and a randomly selected group of general population control users (n = 173) posted 1,544,122 tweets. Communication frequency did not differ between groups. Tweets containing tobacco-related keywords were extracted. Twitter users with schizophrenia posted significantly more tweets containing any tobacco-related terms (mean = 3.74; SD = 16.3) compared with control users (mean = 0.82; SD = 1.8). A significantly greater proportion of Twitter users with schizophrenia (45%; n = 92) posted tweets containing any tobacco terms compared with control users (30%; n = 52). Schizophrenia users showed significantly greater odds of tweeting about tobacco compared with control users (OR = 1.99; 95% CI 1.29-3.07). These findings suggest that online communication about tobacco may parallel real world trends of elevated tobacco use observed among people with schizophrenia. By showing that Twitter users who self-identify as having schizophrenia discuss tobacco-related content online, popular social media could inform smoking cessation efforts targeting this at-risk group.

Qualitative Exploration of the Potential for Adverse Events When Using an Online Peer Support Network for Mental Health: Cross-Sectional Survey

BACKGROUND

Online peer support networks are a growing area of mental health support for offering social connection, identity, and support. However, it has been reported that not all individuals have a positive experience on such networks. The potential for adverse events within a moderated online peer support network is a new area of research exploration.

OBJECTIVE

The objective of the study was to determine if use of an online moderated peer networks leads to adverse events for users.

METHODS

Four biannual online surveys (October 2014 to March 2016) were conducted by a large national UK mental health charity, with users of their online peer support network exploring personal safety, moderation, experiences on the site, and how the site could be improved. Data were analyzed using thematic analysis by 2 independent researchers using a priori themes: negative experiences of moderation, social exclusion, contagion, negative interactions with other users, online relationships, co-rumination and collusion, and other.

RESULTS

In total, 2353 survey responses were logged with 197 (8.37%) documenting an adverse event of negative experience. A dominant theme of negative experiences of moderation emerged (73/197, 37.1%) with evidence of social exclusion (50/197, 25.4%). Reading user posts was shown to be a cause of worry and distress for a few users, and analysis highlighted several instances of depressogenic and emotional contagion as well as some limited evidence of behavioral contagion (46/197, 23.4%). Very limited evidence of co-rumination (1/197, 0.5%) and no evidence of collusion were identified.

CONCLUSIONS

Evidence of adverse events was identified at low levels in the sample of respondents, although we have no comparison data to indicate if levels are low compared with comparable platforms. Not all users of online peer support networks find them wholly beneficial. Research must explore what works for whom. The next stage of service development should consider which users may be likely to receive no benefit, or even deteriorate, as a result of using the service.

Connectivity to computers and the Internet among patients with schizophrenia spectrum disorders: a cross-sectional study

PURPOSE

Information and communication technologies have been developed for a variety of health care applications and user groups in the field of health care. This study examined the connectivity to computers and the Internet among patients with schizophrenia spectrum disorders (SSDs).

PATIENTS AND METHODS

A cross-sectional survey design was used to study 311 adults with SSDs from the inpatient units of two psychiatric hospitals in Finland. The data collection lasted for 20 months and was done through patients' medical records and a self-reported, structured questionnaire. Data analysis included descriptive statistics.

RESULTS

In total, 297 patients were included in this study (response rate =96%). More than half of them (n=156; 55%) had a computer and less than half of them (n=127; 44%) had the Internet at home. Of those who generally had access to computers and the Internet, more than one-fourth (n=85; 29%) used computers daily, and >30% (n=96; 33%) never accessed the Internet. In total, approximately one-fourth of them (n=134; 25%) learned to use computers, and less than one-third of them (n=143; 31%) were known to use the Internet by themselves. Older people (aged 45-65 years) and those with less years of education (primary school) tended not to use the computers and the Internet at all (P<0.001), and younger people and those with higher education were associated with more active use.

CONCLUSION

Patients had quite good access to use computers and the Internet, and they mainly used the Internet to seek information. Social, occupational, and psychological functioning (which were evaluated with Global Assessment of Functioning) were not associated with access to and frequency of computer and the Internet use. The results support the use of computers and the Internet as part of clinical work in mental health care.

Social Media as It Interfaces with Psychosocial Development and Mental Illness in Transitional Age Youth

For transitional age individuals, social media (SM) is an integral component of connecting with others. There are 2 billion SM users worldwide. SM users may experience an increase in perceived social support and life satisfaction. Use of SM may facilitate forming connections among people with potentially stigmatizing mental disorders. However, epidemiologic studies suggest that increased SM use is associated with conditions such as depression, anxiety, and sleep disturbance. Future research should examine directionality of these associations and the role of contextual factors. It also will be useful to leverage SM to provide mental health care and surveillance of mental health concerns.

Measuring Users' Receptivity Toward an Integral Intervention Model Based on mHealth Solutions for Patients With Treatment-Resistant Schizophrenia (m-RESIST): A Qualitative Study

Background

Despite the theoretical potential of mHealth solutions in the treatment of patients with schizophrenia, there remains a lack of technological tools in clinical practice.

Objective

The aim of this study was to measure the receptivity of patients, informal carers, and clinicians to a European integral intervention model focused on patients with persistent positive symptoms: Mobile Therapeutic Attention for Patients with Treatment-Resistant Schizophrenia (m-RESIST).

Methods

Before defining the system requirements, a qualitative study of the needs of outpatients with treatment-resistant schizophrenia was carried out in Spain, Israel, and Hungary. We analyzed the opinions of patients, informal carers, and clinicians concerning the services originally intended to be part of the solution. A total of 9 focus groups (72 people) and 35 individual interviews were carried out in the 3 countries, using discourse analysis as the framework.

Results

A webpage and an online forum were perceived as suitable to get both reliable information on the disease and support. Data transmission by a smart watch (monitoring), Web-based visits, and instant messages (clinical treatment) were valued as ways to improve contact with clinicians. Alerts were appreciated as reminders of daily tasks and appointments. Avoiding stressful situations for outpatients, promoting an active role in the management of the disease, and maintaining human contact with clinicians were the main suggestions provided for improving the effectiveness of the solution.

Conclusions

Positive receptivity toward m-RESIST services is related to its usefulness in meeting user needs, its capacity to empower them, and the possibility of maintaining human contact.