Enabling Psychiatrists to Explore the Full Potential of E-Health

Human-Computer Interaction in Digital Mental Health

Human-computer interaction (HCI) has contributed to the design and development of some efficient, user-friendly, cost-effective, and adaptable digital mental health solutions. But HCI has not been well-combined into technological developments resulting in quality and safety concerns. Digital platforms and artificial intelligence (AI) have a good potential to improve prediction, identification, coordination, and treatment by mental health care and suicide prevention services. AI is driving web-based and smartphone apps; mostly it is used for self-help and guided cognitive behavioral therapy (CBT) for anxiety and depression. Interactive AI may help real-time screening and treatment in outdated, strained or lacking mental healthcare systems. The barriers for using AI in mental healthcare include accessibility, efficacy, reliability, usability, safety, security, ethics, suitable education and training, and socio-cultural adaptability. Apps, real-time machine learning algorithms, immersive technologies, and digital phenotyping are notable prospects. Generally, there is a need for faster and better human factors in combination with machine interaction and automation, higher levels of effectiveness evaluation and the application of blended, hybrid or stepped care in an adjunct approach. HCI modeling may assist in the design and development of usable applications, and to effectively recognize, acknowledge, and address the inequities of mental health care and suicide prevention and assist in the digital therapeutic alliance.

How useful is the center for epidemiologic studies depression scale in screening for depression in adults? An updated systematic review and meta-analysis✰

This study analyzes the performance of the Center for Epidemiologic Studies Depression Scale (CES-D) to screen for major depressive disorder (MDD) in adults. We divided adults into three groups such as community-indwelling adults, patients with chronic diseases, and psychiatric patients. Electronic searches were performed on the MEDLINE, EMBASE, CINAHL, and PsycINFO database using the following keywords: depression, depressive disorder, major, and CES-D scale. The Quality Assessment of Diagnostic Accuracy Studies-2 was applied to assess the risk of bias in diagnostic studies. We reviewed 33 studies, including 18,271 adults that met the selection criteria. In meta-analysis, the pooled sensitivity was 0.86 on community-indwelling adults, 0.85 on patients with chronic diseases and 0.85 on psychiatric patients. The pooled specificity was 0.74, 0.84, and 0.88, respectively, and the summary receiver-operating characteristic curves were 0.88, 0.91, and 0.93, respectively. The RE correlation was a negative value (-0.394) only in patients with chronic diseases, showing no heterogeneity between studies. The CES-D, which has shown high diagnostic accuracy in adults, can be recommended for use as a first-stage screener for MDD. As a result, the early application of the CES-D can lead to disease prevention in adults at risk for depression.

Ecological Momentary Assessment Using Smartphones in Patients With Depression: Feasibility Study

Background

Ecological momentary assessment (EMA) is a promising tool in the management of psychiatric disorders and particularly depression. It allows for a real-time evaluation of symptoms and an earlier detection of relapse or treatment efficacy. The generalization of the smartphone in the modern world offers a new, large-scale support for EMA.

Objective

The main objective of this study was twofold: (1) to assess patients’ compliance with an EMA smartphone app defined by the number of EMAs completed, and (2) to estimate the external validity of the EMA using a correlation between self-esteem/guilt/mood variables and Hamilton Depression Rating Scale (HDRS) score.

Methods

Eleven patients at the Pitié-Salpêtrière Hospital, Paris, France, were monitored for 28 days by means of a smartphone app. Every patient enrolled in the study had two types of assessment: (1) three outpatient consultations with a psychiatrist at three different time points (days 1, 15, and 28), and (2) real-time data collection using an EMA smartphone app with a single, fixed notification per day at 3 pm for 28 days. The results of the real-time data collected were reviewed during the three outpatient consultations by a psychiatrist using a dashboard that aggregated all of the patients’ data into a user-friendly format.

Results

Of the 11 patients in the study, 6 patients attended the 3 outpatient consultations with the psychiatrist and completed the HDRS at each consultation. We found a positive correlation between the HDRS score and the variables of self-esteem, guilt, and mood (Spearman correlation coefficient 0.57). Seven patients completed the daily EMAs for 28 days or longer, with an average response rate to the EMAs of 62.5% (175/280). Furthermore, we observed a positive correlation between the number of responses to EMAs and the duration of follow-up (Spearman correlation coefficient 0.63).

Conclusions

This preliminary study with a prolonged follow-up demonstrates significant patient compliance with the smartphone app. In addition, the self-assessments performed by patients seemed faithful to the standardized measurements performed by the psychiatrist. The results also suggest that for some patients it is more convenient to use the smartphone app than to attend outpatient consultations.

Telepsychiatry and the Role of Artificial Intelligence in Mental Health in Post-COVID-19 India: A Scoping Review on Opportunities

BACKGROUND

COVID-19 has a profound impact on people with existing mental disorders, augmenting the prevailing inequalities in mental health.

METHODS

In order to understand the status of telepsychiatry in India and the role of artificial intelligence (AI) in mental health and its potential applications, a scoping review was done between March 2020 and May 2020. The literature review revealed 253 papers, which were used to derive the primary framework for analysis. The information was then reviewed for ideas and concepts, which were integrated with evidence from gray literature and categorized under broader themes based on the insights derived. Finally, a thematic framework was developed for discussion to tailor scientific information for decision-makers' needs.

RESULTS

Review findings are summarized under the following headings: changing patterns of health-seeking behavior, origin and evolution of telepsychiatry, possible applications of telepsychiatry and AI, technological features, and AI models in mental health.

CONCLUSIONS

Though there are several potential opportunities, the time is not yet ripe for telepsychiatry and AI to be adopted fully in the field of mental health care. But it is time that we develop indigenous proprietary technology and test and validate it. With many solutions offered by telepsychiatry and AI, psychiatrists must choose an appropriate tool based on their requirements, availability of resources, and feasibility of deployment. Harmony between conventional care and technology-based care must be reached gradually.

New Technologies to Improve Pain, Anxiety and Depression in Children and Adolescents with Cancer: A Systematic Review

Pain, anxiety, or depression are very prevalent in children and adolescents with cancer, which is a great challenge for health professionals. Several studies pointing out the positive effect of technology on the management of symptoms have been published in recent years. Considering these studies is important in order to reduce the negative impact on the quality of life of this population. This study aimed to analyze the available evidence and to describe the benefits of the new technologies in the treatment of pain, anxiety, and depression in children and adolescents with cancer. A systematic search using six electronic databases was conducted to identify studies using technological interventions with a focus on pain, anxiety, and depression that were published from 2008 to 2018 including oncology patients from 0–18 years old. Out of the 1261 studies that were identified, five studies met the inclusion criteria for this systematic review. Robots were used in two studies, providing amusement and social interventions that showed significant improvements. Virtual reality, a mobile application, and a videogame were used in three studies and obtained beneficial results in pain and anxiety. The studies included in this review suggest that new technologies can be used as an innovative form of non-pharmacological intervention with therapeutic benefits.

The Feasibility of Using Guided Self-Help in Anorexia Nervosa: An Analysis of Drop-Out From the Study Protocol and Intervention Adherence

The implementation of online technologies to promote wellbeing is increasingly becoming a worldwide priority. This study includes secondary analyses of data and examined drop-out rates in an online guided self-help intervention for patients with anorexia nervosa. Specifically, rates of drop-out at end of treatment (i.e., 6 weeks assessment), as well as intervention adherence (minimum of four of six online guided sessions) and differences between completers and drop-outs were examined. Motivation to change and associated patient variables were assessed as predictors of drop-out using structural equation modeling. Ninety-nine patients were randomized to the intervention arm of the trial. Data were available for 82 individuals, 67 of whom completed the 6 weeks assessment and attended a minimum of four online sessions. No significant differences were found between completers and drop-outs at baseline. At the end of the first week of participation, drop-outs from the 6 weeks assessment or the intervention reported less satisfaction with their work with the mentor delivering online guidance. Greater confidence in own ability to change and higher controlled motivation (willingness to change due to pressure from others) predicted lower drop-out rates from the 6 weeks assessment. Stronger alliance with the therapist at the treatment center and lower psychological distress were associated with greater autonomous motivation (self-directed motivation) and importance and ability to change. Data demonstrate that a novel online guided self-help intervention for patients with anorexia nervosa is feasible. Early satisfaction with the program and external pressure to change have a protective role against drop-out rates.

Clinical Trial Registration:www.ClinicalTrials.gov, identifier NCT02336841.

Prevalence and associated factors of mental disorders in the nationwide primary care population in Latvia: a cross-sectional study

BACKGROUND

Mental disorders are common amongst patients in primary care. There are no published studies on the prevalence of mental disorders in primary care patients in Latvia. The purpose of the study was to evaluate the current prevalence of mental disorders in the nationwide Latvian primary care population and to study possible associated factors and comorbidity of mental disorders.

METHODS

A cross-sectional study within the framework of the National Research Program BIOMEDICINE 2014-2017 was performed at 24 primary care settings across Latvia. Adult patients seen over a 1-week time period at each facility were invited to participate in the study. Sociodemographic variables (age, sex, education, employment and marital status, place of residence, and ethnicity) were assessed onsite. A Mini-International Neuropsychiatric Interview assessment was conducted over the telephone within 2 weeks after the visit to the general practitioner (GP).

RESULTS

Overall, 1485 individuals completed the interview. The current prevalence of any mental disorder was 37.2% and was significantly greater in women. Mood disorders (18.4%), suicidality (18.6%) and anxiety disorders (15.8%) were the most frequent diagnostic categories. The current prevalence of any mood disorder was associated with being 50-64 years of age, female sex, economically inactive status, divorced or widowed marital status and urban place of residence, whilst any current anxiety disorder was associated with female sex, lower education, and single marital status; however, being of Russian ethnicity and residing in a small city were protective factors. Suicidality was associated with female sex, lower education, unemployment or economically inactive status, being divorced or widowed and residing in a small city. The comorbidity rates between mental disorders varied from 2.9 to 53.3%.

CONCLUSIONS

High prevalence rates of mental disorders, comorbidity and certain associated socio-demographic factors were found in primary care settings in Latvia. This highlights the importance of screening for depression and anxiety disorders and suicidal risk assessment by GPs. The results are fundamentally important for integrative medicine, monitoring and promotion of mental healthcare at the primary care level, as well as for healthcare policy and development of strategic plans in Latvia.

Global Lifetime and 12-Month Prevalence of Suicidal Behavior, Deliberate Self-Harm and Non-Suicidal Self-Injury in Children and Adolescents between 1989 and 2018: A Meta-Analysis

OBJECTIVE

This meta-analysis aimed to estimate the global lifetime and 12-month prevalence of suicidal behavior, deliberate self-harm and non-suicidal self-injury in children and adolescents.

METHODS

A systematic search for relevant articles published between 1989 to 2018 was performed in multiple electronic databases. The aggregate 12-month and lifetime prevalence of suicidal behavior, deliberate self-harm, and non-suicidal self-injury were calculated based on the random-effects model. Subgroup analyses were performed to compare the prevalence according to school attendance and geographical regions. Results: A total of 686,672 children and adolescents were included. The aggregate lifetime and 12-month prevalence of suicide attempts was 6% (95% CI: 4.7-7.7%) and 4.5% (95% CI: 3.4-5.9%) respectively. The aggregate lifetime and 12-month prevalence of suicidal plan was 9.9% (95% CI: 5.5-17%) and 7.5% (95% CI: 4.5-12.1%) respectively. The aggregate lifetime and 12-month prevalence of suicidal ideation was 18% (95% CI: 14.2-22.7%) and 14.2% (95% CI: 11.6-17.3%) respectively. The aggregate lifetime and 12-month prevalence of non-suicidal self-injury was 22.1% (95% CI: 16.9-28.4%) and 19.5% (95% CI: 13.3-27.6%) respectively. The aggregate lifetime and 12-month prevalence of deliberate self-harm was 13.7% (95% CI: 11.0-17.0%) and 14.2% (95% CI: 10.1-19.5%) respectively. Subgroup analyses showed that full-time school attendance, non-Western countries, low and middle-income countries, and geographical locations might contribute to the higher aggregate prevalence of suicidal behaviors, deliberate self-harm, and non-suicidal self-injury. Conclusions: This meta-analysis found that non-suicidal self-injury, suicidal ideation, and deliberate self-harm were the three most common suicidal and self-harm behaviors in children and adolescents.

Web-Based Cognitive Bias Modification Interventions for Psychiatric Disorders: Scoping Review

BACKGROUND

Cognitive biases refer to automatic attentional or interpretational tendencies, which result in individuals with addictive disorders to automatically attend to substance-related stimuli and those with anxiety disorders to attend to threatening stimuli. To date, several studies have examined the efficacy of cognitive bias modification, and meta-analytical studies have synthesized the evidence for overall efficacy. The clinical utility of cognitive bias modification interventions has previously been limited to the confines of a laboratory, but recent advances in Web technologies can change this.

OBJECTIVE

This scoping review aimed to determine the scope of Web-based cognitive bias interventions and highlight their effectiveness.

METHODS

Databases (PubMed and MEDLINE, EMBASE, PsycINFO, ScienceDirect, and Cochrane Central) were searched from inception to December 5, 2017. The following search terminologies were used: ("attention bias" OR "cognitive bias" OR "approach bias" OR "avoidance bias" OR "interpretative bias") AND ("Internet" OR "Web" OR "Online"). The methods for this scoping review are based on the previously published protocol. For the synthesis of the evidence, a narrative synthesis was undertaken, as a meta-analysis was not appropriate, given the lack of reported effect sizes and the heterogeneity in the outcomes reported.

RESULTS

Of the 2674 unique articles identified, we identified 22 randomized controlled studies that met our inclusion criteria: alcohol use disorder (n=2), tobacco use disorder (n=2), depressive disorder (n=3), anxiety and depressive symptoms in adolescents (n=3), obsessive-compulsive disorder (OCD; n=2), social anxiety disorder (n=9), and anxiety disorder (n=1). The sample sizes of these studies ranged from 16 to 434 participants. There is preliminary evidence to suggest that Web-based interventions could reduce biases among adolescents with heightened symptoms of anxiety and depression and among individuals with OCD.

CONCLUSIONS

This is the first scoping review that mapped out the scope of cognitive bias modification interventions for psychiatric disorders. Web-based interventions have been applied predominantly for social anxiety and addictive disorders. Larger cohorts must be used in future studies to better determine the effectiveness of Web-based cognitive bias interventions.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR1-10.2196/10427.

Incorporating Participatory Action Research in Attention Bias Modification Interventions for Addictive Disorders: Perspectives

Participatory action research was introduced in the 1960s and early 1970s, but it has only been more widely adopted in the recent years. Such methodologies have since been applied to several web & mobile-based interventions in psychiatry. To date no prior review has scoped the extent of the application of such methodologies for web & mobile-based interventions in psychiatry. In this article, a scoping literature review was performed, and seven articles have been identified. The most common methodologies are that of co-design workshops; and increasingly service users and participants are included in these workshops. There remains a lack of application of such methodologies for addiction research. Increasingly, attention and cognitive bias modification interventions are more commonplace, given that they have been found to be effective in modifying underlying biases amongst individuals with addictive disorders. Unfortunately, there remains to be inherent limitations with web and mobile versions of attention and cognitive bias modification interventions. Participatory design research methods could help address these limitations and future research involving the conceptualization of new attention or cognitive bias modification applications ought to consider the incorporation of these research methods.

Web-Based Cognitive Bias Intervention for Psychiatric Disorders: Protocol for a Systematic Review

Background

Traditional psychological therapies focus mainly on modification of individuals’ conscious decision-making process. Unconscious processes, such as cognitive biases, have been found accountable for various psychiatric psychopathologies, and advances in technologies have transformed how bias modification programs are being delivered.

Objective

The primary aim of this review is to synthesize evidence of Web-based cognitive bias modification intervention for bias reduction. The secondary aim is to determine the change in symptoms for individual psychiatric disorders following bias modification.

Methods

A systematic review will be conducted including only randomized trials. There will be no restrictions on participants included in the study. A search will be conducted on the respective databases until 2017. Selection of studies will be by the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA-P) guidelines. Quality assessment of included studies will be conducted using the Cochrane Risk of Bias tool. A narrative synthesis of identified articles will then be conducted. A meta-analysis will be considered only if there are sufficient articles in a domain for statistical analysis. Ethical approval for this protocol and the planned systematic review was not required.

Results

We expect that the review will be completed 12 months from publication of this protocol.

Conclusions

This review is of importance given how technology has transformed delivery of conventional therapies. Findings from this review will guide future research involving technology and cognitive bias modification interventions.

Trial Registration

International Prospective Register for Systematic Reviews (PROSPERO): 2017 CRD42017074754; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=74754 (Archived by WebCite at http://www.webcitation.org/ 71AvSgZGn)

Registered Report Identifier

RR1-10.2196/10427

Enhancing the Quality and Utility of Content Analyses for Addictive Disorders

The advances in Mobile Health (M-health) technologies has led to an increase in the numbers of alcohol and drugs applications on the commercial stores. Content analyses and reviews of applications to date have demonstrated that most of these applications are for entertainment or information purposes. More recent content analyses have identified common behavioural change techniques in substance applications. Nevertheless, there remain several limitations of existing content analyses and reviews of applications. There is an increasing prevalence of other substance-related disorders, such as that of stimulants and opioids, but the existing content analyses are limited to an analysis of alcohol and cannabis applications. Only two of the content analyses performed to date have attempted to identify applications that have their basis on a theoretical approach, based on the identification of behavioural change techniques or motivational techniques. There is a need to identify applications on the commercial stores that replicate conventional psychological interventions, or at least provide elements of conventional psychological interventions using behavioural change techniques that are integrated into the application. Further evaluative research could be done on these applications to determine if they are efficacious before using them for patient care. To address the limitation that existing content analyses have only focused on reviews of alcohol and cannabis applications, we propose for there to be updated content analyses for alcohol and cannabis, and new content analyses for other substances of abuse (such as opioids and stimulants). We like to suggest that future reviews consider keywords such as abstinence or recovery, and ones that relate to psychological therapies, such as self-determination or attention bias retraining, as commercial applications that have an underlying psychological basis might be categorised differently, under different keyword terms. We have evidence of how a better search strategy identifies previously unrecognised applications for attentional bias modification.

Attention and Cognitive Bias Modification Apps: Review of the Literature and of Commercially Available Apps

Background

Automatic processes, such as attentional biases or interpretative biases, have been purported to be responsible for several psychiatric disorders. Recent reviews have highlighted that cognitive biases may be modifiable. Advances in eHealth and mHealth have been harnessed for the delivery of cognitive bias modification. While several studies have evaluated mHealth-based bias modification intervention, no review, to our knowledge, has synthesized the evidence for it. In addition, no review has looked at commercial apps and their functionalities and methods of bias modification. A review is essential in determining whether scientifically validated apps are available commercially and the proportion of commercial apps that have been evaluated scientifically.

Objective

The objective of this review was primarily to determine the proportion of attention or cognitive bias modification apps that have been evaluated scientifically and secondarily to determine whether the scientifically evaluated apps were commercially available. We also sought to identify commercially available bias modification apps and determine the functionalities of these apps, the methods used for attention or cognitive bias modification, and whether these apps had been evaluated scientifically.

Methods

To identify apps in the published literature, we searched PubMed, MEDLINE, PsycINFO, and Scopus for studies published from 2000 to April 17, 2018. The search terms used were “attention bias” OR “cognitive bias” AND “smartphone” OR “smartphone application” OR “smartphone app” OR “mobile phones” OR “mobile application” OR mobile app” OR “personal digital assistant.” To identify commercial apps, we conducted a manual cross-sectional search between September 15 and 25, 2017 in the Apple iTunes and Google Play app stores. The search terms used to identify the apps were “attention bias” and “cognitive bias.” We also conducted a manual search on the apps with published evaluations.

Results

The effectiveness of bias modification was reported in 7 of 8 trials that we identified in the published literature. Only 1 of the 8 previously evaluated apps was commercially available. The 17 commercial apps we identified tended to use either an attention visual search or gamified task. Only 1 commercial app had been evaluated in the published literature.

Conclusions

This is perhaps the first review to synthesize the evidence for published mHealth attention bias apps. Our review demonstrated that evidence for mHealth attention bias apps is inconclusive, and quite a few commercial apps have not been validated scientifically.

Recent Advances in Attention Bias Modification for Substance Addictions

Research on attentional bias modification has increased since 2014. A recent meta-analysis demonstrates evidence for bias modification for substance disorders, including alcohol and tobacco use disorders. Several pharmacological trials have shown that pharmacological agents can attenuate and modify such attentional bias. The pharmacological trials that have appeared to date have produced mixed results, which has clinical implications. Developments in Internet and mobile technologies have transformed how attention bias modification is currently being achieved. There remains great potential for further research that examines the efficacy of technology-aided attention bias interventions.

A pilot study of a smartphone application supporting recovery from drug addiction

BACKGROUND

Mobile health (mHealth) technologies have the potential to facilitate self-monitoring and self-management for individuals with substance use disorders (SUD). S-Health is a bilingual smartphone application based on cognitive behavioral principles and is designed to support recovery from drug addiction by trigger recognition so as to allow practice in-the-moment coping to prevent relapse.

METHOD

For this pilot randomized controlled study, 75 participants were recruited from methadone maintenance treatment clinics and the social worker consortium in Shanghai, China. Participants in the control group (N=25) received text messages from S-Health (e.g., HIV prevention and other educational materials). Participants in the intervention group (N=50) received both text messages and daily surveys on cravings, affects, triggers, responses to triggers, and social contexts.

RESULTS

At the end of the 1-month study trial, 26.2% of the intervention group and 50% of the control group had positive urine test results (p=0.06). Also, the number of days using drug in the past week was significantly lower among participants in the intervention group (Mean=0.71, SD=1.87) relative to the control group (Mean=2.20, SD=3.06) (p<0.05). The two groups did not differ in slopes (i.e., rates of change in outcomes measured weekly) based on the mixed effects model. Participants in the intervention group also preferred answering questions on the cellphone (46.8%) relative to in-person interviews (36.2%).

CONCLUSIONS

This pilot demonstrated the feasibility and potential benefits to deliver mobile health intervention among participants with SUD. Further research with larger samples over a longer period of time is needed to test the effectiveness of S-Health as a self-monitoring tool supporting recovery from addiction.

Prevalence of Depression in the Community from 30 Countries between 1994 and 2014

The prevalence of depression may be affected by changes in psychiatric practices and the availability of online mental health information in the past two decades. This study aimed to evaluate the aggregate prevalence of depression in communities from different countries between 1994 and 2014 and to explore the variations in prevalence stratified by geographical, methodological and socio-economic factors. A total of 90 studies were identified and met the inclusion criteria (n = 1,112,573 adults) with 68 studies on single point prevalence, 9 studies on one-year prevalence, and 13 studies on lifetime prevalence of depression. A random-effects model meta-analysis that was performed to calculate the aggregate point, one-year and lifetime prevalence of depression calculated prevalences of 12.9%, 7.2% and 10.8% respectively. Point prevalence of depression was significantly higher in women (14.4%), countries with a medium human development index (HDI) (29.2%), studies published from 2004 to 2014 (15.4%) and when using self-reporting instruments (17.3%) to assess depression. Heterogeneity was identified by meta-regression and subgroup analysis, and response rate, percentage of women and year of publication, respectively, were determined contribute to depression prevalence. This meta-analysis allows benchmarking of the prevalence of depression during the era when online health information emerged, facilitating future comparisons.

5-Minutes Mindfulness for palliative care: Integrating evidence and good design

In psychiatry, mindfulness based intervention has been increasingly popular as a means of psychosocial intervention over the last decade. With the alvanche of technological advances, there has been a myriad of mindfulness based applications. Recent reviews have highlighted how these applications are lacking in functionalities and without demonstrated efficacy. Other reviews have emphasized that there is a need to take into consideration the design of an application, due to placebo effects. It is the aim of this technical note to illustrate how the 5-Minutes Mindfulness application, which is an application designed to provide mindfulness exercises to relieve distress and suffering amongst palliative patients, have been conceptualized. The conceptualized application builds on previous evidence of the efficacy of 5-Minutes Mindfulness demonstrated by pilot and randomized trials. In terms of design, the currently conceptualized application has been designed such that placebo effects could be controlled for.

Digital Platforms in the Assessment and Monitoring of Patients with Bipolar Disorder

This paper aims to review the application of digital platforms in the assessment and monitoring of patients with Bipolar Disorder (BPD). We will detail the current clinical criteria for the diagnosis of BPD and the tools available for patient assessment in the clinic setting. We will go on to highlight the difficulties in the assessment and monitoring of BPD patients in the clinical context. Finally, we will elaborate upon the impact that diital platforms have made, and have the potential to make, on healthcare, mental health, and specifically the management of BPD, before going on to evaluate the benefits and drawbacks of the use of such technology.

Facilitators and barriers to using physical activity smartphone apps among Chinese patients with chronic diseases

Background

Smartphones and their applications (apps) impact society and health care. With the growth of smartphone users and app downloads in China, patients with chronic diseases have access to a self-management strategy for physical activity. Although studies report physical activity apps improve the physical activity of patients, data is limited concerning their use of these apps. Therefore, this study investigated the current usage, willingness to use, and barriers to using physical activity apps of Chinese patients with chronic diseases.

Methods

We designed a questionnaire to collect data from chronic disease patients in a tertiary hospital in Beijing, which was sent to 250 patients in four departments.

Results

Two hundred eighteen questionnaires were returned (87.2% response rate). Most (92.7%) respondents owned a smartphone, 34.9% had used a physical activity app, and 18.8% were current users. Additionally, 53.7% were willing to use a physical activity app designed for them. Respondents more likely to use physical activity apps were younger (i.e., ≤ 44 years), more educated, current smartphone users, and previous users of physical activity apps; moreover, they believed they needed exercise, their disease required exercise instruction and support, and their physical status needed monitored when exercising (p < 0.05). Main barriers to using apps reported were insufficient function, difficulty of use, extra cost, and security issues.

Conclusions

Our results indicate sizeable smartphone ownership among Chinese patients with chronic diseases; moreover, over half of our participants report they would use a physical activity app designed for them. This information can be leveraged by healthcare workers managing patients with chronic diseases.

Electronic supplementary material

The online version of this article (doi:10.1186/s12911-017-0446-0) contains supplementary material, which is available to authorized users.

Tapping onto the Potential of Smartphone Applications for Psycho-Education and Early Intervention in Addictions

E-health, and in particular smartphone-based technology, is increasingly becoming commonplace in healthcare. While psychiatry has tapped onto these innovations for conditions, such as affective disorders, and schizophrenia and psychosis, the usage of these technologies in addiction is limited. Addiction psychiatry could harness the potential of smartphone technologies. Given the increasing incidences of substance-related problems globally, and along with the normalization of the general public's perspectives toward substances, and also in consideration of unwillingness for at-risk individuals in seeking help, the authors hope to illustrate how these issues could potentially be solved using E-health and technological innovations. The objectives of the current perspective article are to illustrate how recent advances in smartphone-based technologies could help in terms of psycho-education, as well as in helping individuals who are at-risk users in seeking help earlier. The authors aim to illustrate how the above are possible, building on existing theory-driven framework that has been extensively reviewed in the previous literature. Limitations with regard to the implementation of such technologies will also be discussed.