An ecological momentary intervention incorporating personalised feedback to improve symptoms and social functioning in schizophrenia spectrum disorders

Developing a qualitative and quantitative ambulatory assessment-based feedback system within cognitive behavioural interventions for people with persecutory beliefs

Background

Although the application of self-monitoring (ambulatory assessment) and visual feedback in psychological interventions has yielded promising results, there are currently no reports on using self-monitoring and feedback during a complete therapy. The online m-Path platform provides a tailorable framework for integrating self-monitoring and visual feedback within different psychological interventions.

Methods

Therapy-specific questionnaires and visual feedback were developed within the online m-Path platform as part of the Feeling Safe-NL trial (registration number: ISRCTN25766661) for regular CBT for psychosis (CBTp) and the Feeling Safe Programme combined with peer counselling (the Feeling Safe-NL Programme). The design process involved people with lived experience, psychologists, peer counsellors, researchers, and software developers. The design principles included that the system should be 1) easy to use, 2) suitable for use during a six-month therapy, 3) focussed on positive and goal-aligned outcomes, 4) understandable by patients and professionals, and 5) informing, guiding, and promoting therapy. Design principles were evaluated using compliance data and a patient questionnaire.

Results

The system was used by 21 patients, of which nine completed the questionnaires for the full therapy period, 168 days on average. Usability data from patients revealed that the system was easy to use, well-explained, and suitable for use over six months of therapy. The patients also reported that the questions overall positively affected their emotions and that the feedback was insightful.

Conclusion

The results support the successful application of the design principles to promote the integration of the self-monitoring and visual feedback system within specific CBTp interventions.

Initial Requirements for the Prototyping of an App for a Psychosocial Rehabilitation Project: An Integrative Review

The Psychosocial Rehabilitation Project (PRP) is a tool designed to structure and organize mental health care, guided by the theoretical and practical principles of Psychosocial Rehabilitation (PR). This article aims to identify the initial requirements for the prototyping of a "Psychosocial Rehabilitation Project App". To achieve this, an integrative review was conducted with the research question: what initial requirements are important to compose the prototype of the "Psychosocial Rehabilitation Project App" in mental health? In the search process, 834 articles were identified and exported to the online systematic review application Rayyan QCRI, resulting in 36 eligible articles for this study, along with one app. The reading of this material allowed the elicitation of three themes: privacy and data protection policy; design; and software and programming. The prototyping of the "Psychosocial Rehabilitation Project App" should prioritize data security and protection, simplicity in design, and the integration of technological resources that facilitate the management, construction, monitoring, and evaluation of psychosocial rehabilitation projects by mental health professionals.

Barriers and Facilitators of User Engagement With Digital Mental Health Interventions for People With Psychosis or Bipolar Disorder: Systematic Review and Best-Fit Framework Synthesis

BACKGROUND

Digital mental health interventions (DMHIs) to monitor and improve the health of people with psychosis or bipolar disorder show promise; however, user engagement is variable, and integrated clinical use is low.

OBJECTIVE

This prospectively registered systematic review examined barriers and facilitators of clinician and patient engagement with DMHIs, to inform implementation within real-world settings.

METHODS

A systematic search of 7 databases identified empirical studies reporting qualitative or quantitative data about factors affecting staff or patient engagement with DMHIs aiming to monitor or improve the mental or physical health of people with psychosis or bipolar disorder. The Consolidated Framework for Implementation Research was used to synthesize data on barriers and facilitators, following a best-fit framework synthesis approach.

RESULTS

The review included 175 papers (150 studies; 11,446 participants) describing randomized controlled trials; surveys; qualitative interviews; and usability, cohort, and case studies. Samples included people with schizophrenia spectrum psychosis (98/150, 65.3% of studies), bipolar disorder (62/150, 41.3% of studies), and clinicians (26/150, 17.3% of studies). Key facilitators were a strong recognition of DMHIs' relative advantages, a clear link between intervention focus and specific patient needs, a simple, low-effort digital interface, human-supported delivery, and device provision where needed. Although staff thought patients would lose, damage, or sell devices, reviewed studies found only 11% device loss. Barriers included intervention complexity, perceived risks, user motivation, discomfort with self-reflection, digital poverty, symptoms of psychosis, poor compatibility with existing clinical workflows, staff and patient fears that DMHIs would replace traditional face-to-face care, infrastructure limitations, and limited financial support for delivery.

CONCLUSIONS

Identified barriers and facilitators highlight key considerations for DMHI development and implementation. As to broader implications, sustainable business models are needed to ensure that evidence-based DMHIs are maintained and deployed.

TRIAL REGISTRATION

PROSPERO CRD42021282871; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=282871.

Characteristics and Outcomes of mHealth Interventions in Psychosis: Systematic Mapping Review

BACKGROUND

Mobile health (mHealth) interventions have gained popularity in augmenting psychiatric care for adults with psychosis. Interest has grown in leveraging mHealth to empower individuals living with severe mental illness and extend continuity of care beyond the hospital to the community. However, reported outcomes have been mixed, likely attributed in part to the intervention and adopted outcomes, which affected between-study comparisons.

OBJECTIVE

This study aimed to critically review outcome measures used to evaluate mHealth interventions for adults with psychosis in relation to the characteristics of mHealth interventions.

METHODS

A systematic mapping review was conducted. We searched PubMed, CINAHL, Embase, PsycINFO, and Cochrane Libraries from 1973 to the present. Selection criteria included randomized controlled studies of mHealth interventions in adults diagnosed with schizophrenia spectrum disorders. Reviewers worked in pairs to screen and extract data from included studies independently using a standardized form; disagreements were resolved by consensus with an independent reviewer. We report our findings in line with PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines.

RESULTS

A total of 1703 citations were screened; 29 publications reporting on 23 studies were included in this review. mHealth interventions for psychosis span a wide range, with psychological therapy being the most-deployed intervention (12/23, 52%), followed by psychoeducation (8/23, 35%) and active self-monitoring (8/23, 35%). Several mHealth interventions for psychosis targeted multiple pillars of biopsychosocial well-being (10/23, 43%); the bulk of interventions (16/23, 70%) incorporated features promoting users' self-management. The majority of mHealth interventions were delivered through applications (14/23, 61%) as the main medium and smartphones (17/23, 74%) as the main channel of delivery. Interventions were primarily administered in the outpatient and community settings (16/23, 70%); many were also blended with in-person sessions (11/23, 48%) or guided remotely (6/23, 26%) by persons, including health care providers or trained peer supporters. The severity of psychosis-related symptoms (21/23, 91%) was the most prevalent outcome, of which positive symptoms (13/23, 57%), mood and anxiety (10/23, 43%), and overall psychopathology severity (9/23, 39%) were most commonly measured. Patient-centric outcomes, including well-being (17/23, 74%)-particularly quality of life (10/23, 43%)-and user experience (15/23, 65%), including feasibility (7/23, 30%), acceptability (7/23, 30%), and engagement (7/23, 26%). Notably, outcome choices remained diverse despite stratification by type of mHealth intervention.

CONCLUSIONS

mHealth interventions for psychosis encompass a wide range of modalities and use outcome measures that probe various social and behavioral determinants of health. These should be considered complex interventions, and a holistic evaluation approach combining clinical and patient-centric outcomes is recommended.

Engagement and Acceptability of Acceptance and Commitment Therapy in Daily Life in Early Psychosis: Secondary Findings From a Multicenter Randomized Controlled Trial

BACKGROUND

Acceptance and commitment therapy (ACT) is promising in the treatment of early psychosis. Augmenting face-to-face ACT with mobile health ecological momentary interventions may increase its treatment effects and empower clients to take treatment into their own hands.

OBJECTIVE

This study aimed to investigate and predict treatment engagement with and acceptability of acceptance and commitment therapy in daily life (ACT-DL), a novel ecological momentary intervention for people with an ultrahigh risk state and a first episode of psychosis.

METHODS

In the multicenter randomized controlled trial, 148 individuals with ultrahigh risk or first-episode psychosis aged 15-65 years were randomized to treatment as usual only (control) or to ACT-DL combined with treatment as usual (experimental), consisting of 8 face-to-face sessions augmented with an ACT-based smartphone app, delivering ACT skills and techniques in daily life. For individuals in the intervention arm, we collected data on treatment engagement with and acceptability of ACT-DL during and after the intervention. Predictors of treatment engagement and acceptability included baseline demographic, clinical, and functional outcomes.

RESULTS

Participants who received ACT-DL in addition to treatment as usual (n=71) completed a mean of 6 (SD 3) sessions, with 59% (n=42) of participants completing all sessions. App engagement data (n=58) shows that, on a weekly basis, participants used the app 13 times and were compliant with 6 of 24 (25%) notifications. Distribution plots of debriefing scores (n=46) show that 85%-96% of participants reported usefulness on all acceptability items to at least some extent (scores ≥2; 1=no usefulness) and that 91% (n=42) of participants reported perceived burden by number and length of notifications (scores ≥2; 1=no burden). Multiple linear regression models were fitted to predict treatment engagement and acceptability. Ethnic minority backgrounds predicted lower notification response compliance (B=-4.37; P=.01), yet higher app usefulness (B=1.25; P=.049). Negative (B=-0.26; P=.01) and affective (B=0.14; P=.04) symptom severity predicted lower and higher ACT training usefulness, respectively. Being female (B=-1.03; P=.005) predicted lower usefulness of the ACT metaphor images on the app.

CONCLUSIONS

Our results corroborate good treatment engagement with and acceptability of ACT-DL in early psychosis. We provide recommendations for future intervention optimization.

TRIAL REGISTRATION

OMON NL46439.068.13; https://onderzoekmetmensen.nl/en/trial/24803.

Ecological momentary assessment (EMA) combined with unsupervised machine learning shows sensitivity to identify individuals in potential need for psychiatric assessment

Ecological momentary assessment (EMA), a structured diary assessment technique, has shown feasibility to capture psychotic(-like) symptoms across different study groups. We investigated whether EMA combined with unsupervised machine learning can distinguish groups on the continuum of genetic risk toward psychotic illness and identify individuals with need for extended healthcare. Individuals with psychotic disorder (PD, N = 55), healthy individuals (HC, N = 25) and HC with first-degree relatives with psychosis (RE, N = 20) were assessed at two sites over 7 days using EMA. Cluster analysis determined subgroups based on similarities in longitudinal trajectories of psychotic symptom ratings in EMA, agnostic of study group assignment. Psychotic symptom ratings were calculated as average of items related to hallucinations and paranoid ideas. Prior to EMA we assessed symptoms using the Positive and Negative Syndrome Scale (PANSS) and the Community Assessment of Psychic Experience (CAPE) to characterize the EMA subgroups. We identified two clusters with distinct longitudinal EMA characteristics. Cluster 1 (NPD = 12, NRE = 1, NHC = 2) showed higher mean EMA symptom ratings as compared to cluster 2 (NPD = 43, NRE = 19, NHC = 23) (p < 0.001). Cluster 1 showed a higher burden on negative (p < 0.05) and positive (p < 0.05) psychotic symptoms in cross-sectional PANSS and CAPE ratings than cluster 2. Findings indicate a separation of PD with high symptom burden (cluster 1) from PD with healthy-like rating patterns grouping together with HC and RE (cluster 2). Individuals in cluster 1 might particularly profit from exchange with a clinician underlining the idea of EMA as clinical monitoring tool.

Leveraging Personal Technologies in the Treatment of Schizophrenia Spectrum Disorders: Scoping Review

BACKGROUND

Digital mental health is a rapidly growing field with an increasing evidence base due to its potential scalability and impacts on access to mental health care. Further, within underfunded service systems, leveraging personal technologies to deliver or support specialized service delivery has garnered attention as a feasible and cost-effective means of improving access. Digital health relevance has also improved as technology ownership in individuals with schizophrenia has improved and is comparable to that of the general population. However, less digital health research has been conducted in groups with schizophrenia spectrum disorders compared to other mental health conditions, and overall feasibility, efficacy, and clinical integration remain largely unknown.

OBJECTIVE

This review aims to describe the available literature investigating the use of personal technologies (ie, phone, computer, tablet, and wearables) to deliver or support specialized care for schizophrenia and examine opportunities and barriers to integrating this technology into care.

METHODS

Given the size of this review, we used scoping review methods. We searched 3 major databases with search teams related to schizophrenia spectrum disorders, various personal technologies, and intervention outcomes related to recovery. We included studies from the full spectrum of methodologies, from development papers to implementation trials. Methods and reporting follow the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines.

RESULTS

This search resulted in 999 studies, which, through review by at least 2 reviewers, included 92 publications. Included studies were published from 2010 to 2023. Most studies examined multitechnology interventions (40/92, 43%) or smartphone apps (25/92, 27%), followed by SMS text messaging (16/92, 17%) and internet-based interventions (11/92, 12%). No studies used wearable technology on its own to deliver an intervention. Regarding the stage of research in the field, the largest number of publications were pilot studies (32/92, 35%), followed by randomized control trials (RCTs; 20/92, 22%), secondary analyses (16/92, 17%), RCT protocols (16/92, 17%), development papers (5/92, 5%), and nonrandomized or quasi-experimental trials (3/92, 3%). Most studies did not report on safety indices (55/92, 60%) or privacy precautions (64/92, 70%). Included studies tend to report consistent positive user feedback regarding the usability, acceptability, and satisfaction with technology; however, engagement metrics are highly variable and report mixed outcomes. Furthermore, efficacy at both the pilot and RCT levels report mixed findings on primary outcomes.

CONCLUSIONS

Overall, the findings of this review highlight the discrepancy between the high levels of acceptability and usability of these digital interventions, mixed efficacy results, and difficulties with sustained engagement. The discussion highlights common patterns that may underscore this observation in the field; however, as this was a scoping review, a more in-depth systematic review or meta-analysis may be required to better understand the trends outlined in this review.

Effectiveness of momentary intervention on influenza vaccination among the elderly in China: From willingness to action

PURPOSE

To evaluate the impact of momentary intervention on the willingness and actual uptake of influenza vaccination among the elderly in China.

METHODS

A cross-sectional study assessed the willingness of the elderly to receive influenza vaccination, and an momentary intervention aimed to increase vaccination willingness among those initially unwilling. The elderly reporting a willingness were offered free influenza vaccination through a community intervention program.

RESULTS

A total of 3138 participants were recruited in this study, and 61.3 % (95 % CI 59.6 %-63.0 %) were willing to receive influenza vaccination at baseline. The willingness rate of influenza vaccination increased to 79.8 % (95 % CI 78.4 %-81.2 %), with an increase of 18.5 % (95 % CI 16.3 %-20.7 %) after momentary intervention. The influenza vaccination rate was 40.4 % (95 % CI 38.5 %-42.3 %) before and 53.9 % (95 % CI 52.0 %-55.8 %) after momentary intervention with an increase of 13.5 % (95 % CI 10.9 %-16.2 %). There was no significant difference in influenza vaccination rates between the initially willing people and those who changed to be willing to receive influenza vaccination after momentary intervention (vaccination rates: 78.0 % vs. 81.3 %).

CONCLUSION

Momentary intervention has been shown to effectively enhance the willingness of the elderly to receive influenza vaccination, thereby facilitating the translation of this intention into actual behavior.

The experience sampling methodology in psychosis risk states: A systematic review

The experience sampling method (ESM) is a structured diary technique, which is used to assess thoughts, mood and appraise subjective experiences in daily life. It has been recognized as a useful tool for understanding the characteristics, dynamics, and underlying mechanisms of prodromal symptoms of psychosis. The present systematic review aimed to provide a qualitative synthesis of findings provided by the ESM studies conducted in people with psychosis risk states. A systematic review of the MEDLINE, ERIC, Academic Search Ultimate, and Health Source: Nursing/Academic Edition databases, utilizing search terms related to the ESM and the risk of psychosis was conducted. Out of 1069 publication records identified, 77 studies met the inclusion criteria for the review. Data were synthesized around the following topics: 1) assessment of symptoms dynamics and social functioning; 2) assessment of the mechanisms contributing to the emergence of psychotic experiences and 3) assessment of stress sensitivity. The studies have shown that negative emotions are associated with subsequent development of paranoia. The tendency to draw hasty conclusions, aberrant salience, self-esteem, and emotion regulation were the most frequently reported mechanisms associated with the emergence of psychotic experiences. Studies using the ESM also provided evidence for the role of stress sensitivity, in the development of psychotic symptoms. The ESM has widely been applied to studies investigating psychosis risk states, using a variety of protocols. Findings from this systematic review might inform future studies and indicate potential targets for interventions.

Methodological Characteristics and Feasibility of Ecological Momentary Assessment Studies in Psychosis: a Systematic Review and Meta-Analysis

BACKGROUND

Ecological momentary assessment (EMA) involves completing multiple surveys over time in daily life, capturing in-the-moment experiences in real-world contexts. EMA use in psychosis studies has surged over several decades. To critically examine EMA use in psychosis research and assist future researchers in designing new EMA studies, this systematic review aimed to summarize the methodological approaches used for positive symptoms in psychosis populations and evaluate feasibility with a focus on completion rates.

METHODS

A systematic review of PubMed, PsycINFO, MEDLINE, Web of Science, EBSCOhost, and Embase databases using search terms related to EMA and psychosis was conducted. Excluding duplicate samples, a meta-analysis was conducted of EMA survey completion rates and meta-regression to examine predictors of completion.

RESULTS

Sixty-eight studies were included in the review. Characteristics and reporting of EMA methodologies were variable across studies. The meta-mean EMA survey completion computed from the 39 unique studies that reported a mean completion rate was 67.15% (95% CI = 62.3, 71.9), with an average of 86.25% of the sample meeting a one-third EMA completion criterion. No significant predictors of completion were found in the meta-regression. A variety of EMA items were used to measure psychotic experiences, of which few were validated.

CONCLUSIONS

EMA methods have been widely applied in psychosis studies using a range of protocols. Completion rates are high, providing clear evidence of feasibility in psychosis populations. Recommendations for reporting in future studies are provided.

Brief observable anxiety sensitivity treatment: intervention development and a pilot randomized-controlled acceptability and feasibility trial to evaluate a brief intervention for anxiety sensitivity social concerns

Social anxiety disorder is one of the most prevalent anxiety disorders. There is a need to develop brief, virtual, single-session interventions targeting constructs associated with social anxiety, such as anxiety sensitivity social concerns (ASSC). ASSC is the maladaptive belief about consequences arising from observable symptoms of anxious arousal. This study was designed to evaluate the initial acceptability and feasibility of a brief ASSC reduction program (Brief Observable Anxiety Sensitivity Treatment [BOAST]) which included a single clinician-led intervention session followed by a two-week ecological momentary intervention (EMI), delivered via mobile app. Participants (N = 36) were adults with elevated ASSC who were randomly assigned to receive BOAST (n = 19) or a waitlist control (n = 17). The trial was prospectively registered at clinicaltrials.gov (NCT04859790). Results supported the acceptability of BOAST with mixed findings for feasibility. Feasibility metrics for the EMI component were below pre-defined thresholds; however, there was evidence that homework completion was associated with symptom reduction. Preliminary efficacy metrics indicated that participants in the BOAST condition had large reductions in ASSC and one measure of social anxiety at 1-month follow-up. This study provides preliminary support for the acceptability of BOAST and elucidates avenues for future clinical and research efforts.

Critical design decisions and user demographics in enhancing real-time digital mental health interventions: A systematic review

Background

Real-time digital mental health interventions, primarily enabled by smartphone technology offer continuous, personalised support, that adapts in response to the changing needs of individuals. Despite being prominently explored in populations with psychiatric disorders, there remains a notable gap in the systematic analysis of demographic characteristics, as well as the foundational design decisions or rules that underpin the personalisation of these interventions.

Objectives

(a) Identifying the prevalent design decisions to enable personalisation within real-time digital mental health interventions, (b) the influence of these design decisions on the clinical outcomes of the interventions, and (c) the demographic characteristics of populations with psychiatric disorders targeted by real-time digital health interventions.

Methods

Following PRISMA (preferred reporting items for systematic reviews and meta-analyses) guidelines, a systematic literature review was conducted of peer-reviewed literature focusing on real-time digital interventions in populations with clinically diagnosed psychiatric disorders. We undertook a narrative synthesis to derive the demographics and personalisation design decisions of the interventions and conducted a pooled meta-analysis to evaluate clinical outcomes.

Results

Interventions predominantly targeted female and Caucasian demographics, yielding modest clinical improvements. Our analysis identified nine critical personalisation design decisions concerning measurement, intervention, and interactions with health professional with varying influence on clinical outcomes.

Conclusion

Understanding the complex nuances of design decisions that shape real-time digital health interventions, as well as identifying which patient demographics benefit most, is fundamental for their effective clinical impact and safe use.

Prospero Registration

PROSPERO CRD42020161663.

Social Isolation and Serious Mental Illness: The Role of Context-Aware Mobile Interventions

Social isolation is a common problem faced by individuals with serious mental illness (SMI), and current intervention approaches have limited effectiveness. This paper presents a blended intervention approach, called mobile Social Interaction Therapy by Exposure (mSITE), to address social isolation in individuals with serious mental illness. The approach combines brief in-person cognitive-behavioral therapy (CBT) with context-triggered mobile CBT interventions that are personalized using mobile sensing data. Our approach targets social behavior and is the first context-aware intervention for improving social outcomes in serious mental illness.

Ecological monitoring of emotional intensity, variability, and instability in individuals with schizophrenia spectrum disorders: Results of a multicentre study

BACKGROUND

Evaluating emotional experiences in the life of people with Schizophrenia Spectrum Disorder (SSD) is fundamental for developing interventions aimed at promoting well-being in specific times and contexts. However, little is known about emotional variability in this population. In DiAPAson project, we evaluated between- and within-person differences in emotional intensity, variability, and instability between people with SSD and healthy controls, and the association with psychiatric severity and levels of functioning.

METHODS

102 individuals diagnosed with SSD (57 residential patients, 46 outpatients) and 112 healthy controls were thoroughly evaluated. Daily emotions were prospectively assessed with Experience Sampling Method eight times a day for a week. Statistical analyses included ANOVA, correlations, and generalized linear models.

RESULTS

Participants with SSD, and especially residential patients, had a higher intensity of negative emotions when compared to controls. Moreover, all people with SSD reported a greater between-person-variability of both positive and negative emotions and greater intra-variability of negative emotions than healthy controls. In addition, the emotion variability in people with SSD does not follow a linear or quadratic trend but is more "chaotic" if compared to controls.

CONCLUSIONS

Adequate assessments of positive and negative emotional experiences and their time course in people with SSD can assist mental health professionals with well-being assessment, implementing targeted interventions through the identification of patterns, triggers, and potential predictors of emotional states.

Temporal Interactions Between Social Motivation and Behavior In Daily Life Among Individuals at Clinical High-Risk for Psychosis

BACKGROUND AND HYPOTHESES

Poor social functioning is common among individuals at clinical high-risk (CHR) for psychosis and is associated with greater likelihood of conversion. Unfortunately, processes contributing to social impairment are unclear, making social functioning difficult to improve via treatment. The current study examined whether abnormalities in social functioning result from aberrant temporal interactions between social motivation and behavior.

STUDY DESIGN

Participants included 105 individuals at CHR and 62 healthy controls (CN) who completed 6 days of ecological momentary assessment. Multilevel models examined time-lagged interactions between social behavior and motivation.

STUDY RESULTS

CHR and CN did not differ in social motivation; however, CHR were less likely to interact with family and coworkers and more likely to engage in interactions via phone and text/social media. Autocorrelations indicated that social behavior and motivation were generally consistent across time in CHR and CN groups. Time-lagged analyses indicated that both groups had an increase in social motivation across time when they were alone and a decrease in social motivation across time when they were with others. However, the relative decrease when with others and increase when alone were less robust in CHR than CN, particularly for in-person interactions. Social motivation at time t did not differentially impact social partner or modality at time t+1 in the groups.

CONCLUSIONS

Findings suggest that social behavior and motivation have different temporal interactions in CHR and CN. Psychosocial interventions may benefit from targeting the frequency of social behavior with specific partners and modalities to change social motivation.

Do loneliness and social exclusion breed paranoia? An experience sampling investigation across the psychosis continuum

Background

The role of loneliness and social exclusion in the development of paranoia is largely unexplored. Negative affect may mediate potential associations between these factors. We investigated the temporal relationships of daily-life loneliness, felt social exclusion, negative affect, and paranoia across the psychosis continuum.

Method

Seventy-five participants, including 29 individuals with a diagnosis of non-affective psychosis, 20 first-degree relatives, and 26 controls used an Experience Sampling Method (ESM) app to capture the fluctuations in loneliness, feelings of social exclusion, paranoia, and negative affect across a 1-week period. Data were analysed with multilevel regression analyses.

Results

In all groups, loneliness and feelings of social exclusion were independent predictors of paranoia over time (b = 0.05, p < .001 and b = 0.04, p < .05, respectively). Negative affect predicted paranoia (b = 0.17, p < .001) and partially mediated the associations between loneliness, social exclusion, and paranoia. It also predicted loneliness (b = 0.15, p < .0001), but not social exclusion (b = 0.04, p = .21) over time. Paranoia predicted social exclusion over time, with more pronounced effects in controls (b = 0.43) than patients (b = 0.19; relatives: b = 0.17); but not loneliness (b = 0.08, p = .16).

Conclusion

Paranoia and negative affect worsen in all groups following feelings of loneliness and social exclusion. This highlights the importance of a sense of belonging and being included for mental well-being. Loneliness, feeling socially excluded, and negative affect were independent predictors of paranoid thinking, suggesting they represent useful targets in its treatment.

Co-created Technological Solutions for Caregivers in Health Care: Systematic Review

BACKGROUND

Support interventions for caregivers can reduce their stress, possibly improving the quality of patients' care while reducing care costs. Technological solutions have been designed to cover their needs, but there are some challenges in making them truly functional for end users. Co-design approaches present important opportunities for engaging diverse populations to help ensure that technological solutions are inclusive and accessible.

OBJECTIVE

This study aimed to identify co-created technological solutions, as well as the process followed for their co-creation, in the field of health for caregivers.

METHODS

The literature review was conducted in the Medline, Web of Science, Scopus, Science Direct, Scielo, and IEEE Xplore databases. The inclusion criteria were studies written in English or Spanish and with a publication date until May 2021. The content had to specify that the caregivers actively participated in the co-creation process, which covered until the development phase of the technological solution (prototype). The level of evidence and the methodological quality were analyzed when possible, using the Scottish Intercollegiate Guidelines Network criteria and the Mixed Methods Appraisal Tool, version 2018, respectively.

RESULTS

In total, 410 papers were identified, and 11 met the eligibility criteria. The most predominant articles were mixed methods studies and qualitative studies. The technology used in the analyzed articles were mobile or web applications (9 studies) and specific devices such as sensors, cameras, or alarm systems (2 studies) to support the health and social aspects of caregivers and improve their education in care. The most common patient profile was older people (7 studies); 6 studies used co-creation in the requirements phase, 6 studies detailed the design phase. In 9 studies, the prototype was iteratively refined in the development phase, and the validation phase was performed in 5 of the reviewed studies.

CONCLUSIONS

This systematic review suggests that existing co-created technological solutions in the field of health for caregivers are mostly mobile or web applications to support caregivers' social health and well-being and improve their health knowledge when delivering care to patients, especially older people. As for the co-creation process, caregivers are particularly involved during development and in the design. The scarce literature found indicates that further research with higher methodological quality is needed.

Using Experience Sampling Methods to support clinical management of psychosis: The perspective of people with lived experience

The Experience sampling method (ESM) has the potential to support person-centered care of psychotic disorders. However, clinical implementation is hampered by a lack of user involvement in the design of ESM tools. This qualitative study explored the perspective of nine people with lived experiences of psychosis. Participants reported a need to monitor a diverse range of daily-life experiences and indicated that ESM should allow for personalization to be clinically useful. While participants recognized the potential of ESM to increase awareness and control over their mental health, concerns were voiced about the validity and burden of monitoring one's own mental health.

Evidence for the Effectiveness of Psychological Interventions for Internalized Stigma among Adults with Schizophrenia Spectrum Disorders: A Systematic Review and Meta-Analyses

In recent years, psychological interventions have been used to alleviate internalized stigma in people with schizophrenia spectrum disorders, but outcomes have been inconsistent. The aim of this review was to examine the existing evidence regarding this matter. Four electronic databases (EMBASE, MEDLINE, PsycINFO, and the Cochrane Central Register of Controlled Trials) were searched from inception until 8 September 2022, using appropriate strategies. The eligibility, quality, and strength of evidence of each study were all evaluated against the predetermined standards. Further quantitative analyses were performed using the RevMan software. A total of 27 studies were included in the systematic review. Eighteen studies with extractable data for meta-analysis yielded a statistically significant overall effect (Z = 3.00; p = 0.003; 95% CI: -0.69 [-1.15, -0.24]; n = 1633), although there was considerable heterogeneity (Tau2 = 0.89; Chi2 = 303.62, df = 17; p < 0.00001; I2 = 94%). Subgroup analyses for Narrative Enhancement and Cognitive Therapy (NECT) produced a statistically significant and highly homogenous effect (Z = 3.40; p = 0.0007; 95% CI: -0.44 [-0.70, -0.19]; n = 241; Tau2 = 0.00; Chi2 = 0.14, df = 2 (p = 0.93); I2 = 0%). In conclusion, the majority of the psychological interventions are successful in lowering levels of internalized stigma, especially NECT, and interventions that integrate multiple therapies may be more beneficial.

User engagement in mobile apps for people with schizophrenia: A scoping review

Over the past decade, there has been an increase in the number of mobile apps designed for mental health proposes and mHealth has been perceived as a promising approach to help people with schizophrenia to manage their condition. However, adoption rates are relatively low and long-term user engagement is a major issue. The aim of this study is to identify and better understand what strategies and factors may influence user engagement and facilitate prolonged use of apps for people with schizophrenia to better manage their illness. A scoping review was conducted in accordance with the Arksey and O'Malley scoping review framework and following PRISMA ScR guidelines. The sources consisted of searching four electronic databases. Rayyan software was used for this study selection process and a narrative approach was used to synthesize the extracted data. A total of 28 studies which met the inclusion criteria were identified. The engagement strategies included push notifications, message prompts, personalization, application customization, goal setting, game-like features, use of different multimedia formats, social connectedness, support (peers and professionals), reliability of content and quality of feedback received. Some demographic factors may influence adherence such as age, gender, education level and socioeconomic status. Other factors also may play a role impacting engagement: health status, data privacy and security, involvement in design process, incentives for participation, app usage fitting in the user routines, initial training, and constant technical support. Included studies present high heterogeneity in outcome measures and thresholds criteria to assess engagement. Understanding what influences engagement and how to measure it is essential to enhance the design of mobile apps and deliver scalable solutions to help people with schizophrenia better manage their illness in their real-world uptake.

Educational Technologies for Teaching Social Skills to Individuals With Schizophrenia: Scoping Review

Schizophrenia interventions incorporate improving quality of life and social functioning. Educational technologies are a potential treatment method for social skills development among individuals with schizophrenia. The objective of the study is to provide an overview of the characteristics and range of approaches of educational technologies in the context of social skills for individuals with schizophrenia. A scoping review methodological framework was applied. Search strategy was conducted on Ovid MEDLINE® and CINAHL Plus. Data were synthesized using a charting form for a logical, descriptive summary of results. The search yielded 771 results and 23 included studies that met eligibility criteria. The data showed persons with schizophrenia respond well to educational technologies to address illness self-management. Using technology in conjunction with traditional evidence-based interventions demonstrates promising results to improve social skills functioning. Occupational therapists can use educational technologies to decrease the gap in health care services and improve social support for individuals with schizophrenia.

A closer look at avolition in schizophrenia and bipolar disorder: Persistence of different types of activities over time

BACKGROUND

Avolition is associated cross-diagnostically with extensive functional impairment. Participants with schizophrenia and bipolar disorder (BD) engage in fewer productive activities than healthy controls, with more sedentary activities such as sitting. We examined the temporal variability in activities of participants with schizophrenia and bipolar disorder, focusing on persistence of activities and the likelihood of performing more than one activity at a time.

METHODS

101 participants with schizophrenia and 76 participants with BD were sampled 3 times per day for 30 days utilizing Ecological Momentary Assessment surveys. Each survey queried current activities along with questions about who they were with and if they were home or away and moods. We separated activities into productive, unproductive, or passive recreational categories.

RESULTS

Participants with schizophrenia and bipolar disorder reported one activity on most surveys, with that activity commonly being passive or unproductive. No participant reported engaging in more than one productive activity. Productive activities were more likely to occur away from home, with 17 % of surveys from home reporting productive activities. All three activities were persistent, but passive and unproductive activities were more likely than productive activities to be persistent at home. Negative mood states predicted unproductive and passive activities in BD participants only.

DISCUSSION

The low numbers of activities, combined with persistence of unproductive and passive activities highlights the impact of avolition. Most persistent activities reflected sedentary behavior. People with schizophrenia or bipolar disorder may benefit from interventions targeting leaving home more often to improve their general levels of functioning and overall health.

Accessibility and availability of smartphone apps for schizophrenia

App-based interventions have the potential to enhance access to and quality of care for patients with schizophrenia. However, less is known about the current state of schizophrenia apps in research and how those translate to publicly available apps. This study, therefore, aimed to review schizophrenia apps offered on marketplaces and research literature with a focus on accessibility and availability. A search of recent reviews, gray literature, PubMed, and Google Scholar was conducted in August 2022. A search of the U.S. Apple App Store and Google Play App Store was conducted in July 2022. All eligible studies and apps were systematically screened/reviewed. The academic research search produced 264 results; 60 eligible studies were identified. 51.7% of research apps were built on psychosis-specific platforms and 48.3% of research apps were built on non-specific platforms. 83.3% of research apps offered monitoring functionalities. Only nine apps, two designed on psychosis-specific platforms and seven on non-specific platforms were easily accessible. The search of app marketplaces uncovered 537 apps; only six eligible marketplace apps were identified. 83.3% of marketplace apps only offered psychoeducation. All marketplace apps lacked frequent updates with the average time since last update 1121 days. There are few clinically relevant apps accessible to patients on the commercial marketplaces. While research efforts are expanding, many research apps are unavailable today. Better translation of apps from research to the marketplace and a focus on sustainable interventions are important targets for the field.

Design decisions and data completeness for experience sampling methods used in psychosis: systematic review

BACKGROUND

The experience sampling method (ESM) is an intensive longitudinal research method.  Participants complete questionnaires at multiple times about their current or very recent state. The design of ESM studies is complex. People with psychosis have been shown to be less adherent to ESM study protocols than the general population. It is not known how to design studies that increase adherence to study protocols. A lack of typology makes it is hard for researchers to decide how to collect data in a way that allows for methodological rigour, quality of reporting, and the ability to synthesise findings. The aims of this systematic review were to characterise the design choices made in ESM studies monitoring the daily lives of people with psychosis, and to synthesise evidence relating the data completeness to different design choices.

METHODS

A systematic review was conducted of published literature on studies using ESM with people with psychosis. Studies were included if they used digital technology for data collection and reported the completeness of the data set. The constant comparative method was used to identify design decisions, using inductive identification of design decisions with simultaneous comparison of design decisions observed. Weighted regression was used to identify design decisions that predicted data completeness. The review was pre-registered (PROSPERO CRD42019125545).

RESULTS

Thirty-eight studies were included. A typology of design choices used in ESM studies was developed, which comprised three superordinate categories of design choice: Study context, ESM approach and ESM implementation. Design decisions that predict data completeness include type of ESM protocol used, length of time participants are enrolled in the study, and if there is contact with the research team during data collection.

CONCLUSIONS

This review identified a range of design decisions used in studies using ESM in the context of psychosis. Design decisions that influence data completeness were identified. Findings will help the design and reporting of future ESM studies. Results are presented with the focus on psychosis, but the findings can be applied across different mental health populations.

The effect of cognitive behavioral therapy-based psychoeducation on internalized stigma and functional remission in individuals diagnosed with schizophrenia

PURPOSE

The aim of this study is to determine the effect of cognitive behavioral therapy-based psychoeducation provided to individuals diagnosed with schizophrenia on internalized stigma and functional remission.

DESIGN AND METHODS

The study was conducted based on the quasi-experimental design with pretest-posttest control group with 100 individuals, who were diagnosed with schizophrenia, in a Community Mental Health Center between September 2020 and June 2021.

FINDINGS

It was determined that after the cognitive behavioral therapy-based psychoeducation, the internalized stigma level decreased and the functional remission level increased in the experimental group compared with the control group.

PRACTICE IMPLICATIONS

In the study, it was determined that the experimental and control groups had low levels of functional remission and high levels of internalized stigma before the cognitive behavioral therapy-based psychoeducation, and the functional remission levels increased and the internalized stigma levels decreased in the experimental group compared with the control group after the cognitive behavioral therapy-based psychoeducation.

General psychopathology and its social correlates in the daily lives of youth

BACKGROUND

Adolescence is a period of both great social change, and of vulnerability to psychiatric distress. However, little is known about the associations between early psychopathology and social interactions at the fundamental level of daily life. To better understand the social correlates of subclinical psychopathology in adolescence, we assessed associations between general psychopathology and the quantity and quality of daily-life social interactions.

METHODS

During a six-day experience sampling period, adolescent and young adult participants in Study 1 (n = 663) and Study 2 (n = 1027) reported the quantity and quality of their everyday social interactions. General psychopathology was assessed using the Symptom Checklist-90 and Brief Symptom Inventory-53. The relationship between psychopathology and each outcome variable was tested in separate multilevel linear and logistic regression models.

RESULTS

General psychopathology was associated with social interaction quality. Associations between psychopathology and the number of social interactions were less apparent: In Study 1, participants with more psychopathology were not more alone, whereas Study 2 participants with higher levels of psychopathology were alone more.

LIMITATIONS

Limitations include no separate investigation of distinct types of psychopathology, and relatively low compliance to the experience sampling in Study 2.

CONCLUSIONS

Consistent associations between subclinical psychopathology and the quality of social interactions support the fundamentally social nature of early psychopathology. Moreover, negative experiences of social interactions may be more valuable markers of early psychopathology than a reduced quantity of social behaviors. Conceptualizations of daily-life social functioning, and prevention/intervention efforts would benefit from a greater consideration of the quality of everyday social experiences.

Digital interventions for subjective and objective social isolation among individuals with mental health conditions: a scoping review

BACKGROUND

Social isolation encompasses subjective and objective concepts. Both are associated with negative health consequences and are more prevalent among people with mental health problems than among the general population. To alleviate social isolation, digital interventions have potential as accessible alternatives or adjuncts to face-to-face interventions. This scoping review aimed to describe the types of digital interventions evaluated for feasibility, acceptability and effectiveness in alleviating social isolation among individuals with mental health problems, and to present an overview of the quantitative evidence yielded to inform future intervention design.

METHODS

We searched five electronic databases for quantitative and mixed methods studies published between January 2000 and July 2020. Studies were included if they evaluated digital interventions for individuals with mental health conditions, had subjective and/or objective social isolation as their primary outcome, or as one of their outcomes if no primary outcome was specified. Feasibility studies were included if feasibility outcomes were the primary outcomes and social isolation was among their secondary outcomes. A narrative synthesis was conducted to present our findings. The protocol was registered on Open Science Framework (doi: https://doi.org/10.17605/OSF.IO/CNX8A ).

RESULTS

Thirty-two studies were included for our review: 16 feasibility studies, seven single-group studies and nine effectiveness trials. There was great variation in the interventions, study designs and sample populations. Interventions included web-based programmes, phone-based programmes, blended interventions, socially assistive robots and virtual reality interventions. Many were feasibility studies, or otherwise not fully powered to detect an effect if one were present, thus preventing clear conclusions about clinical effectiveness. Satisfactory feasibility outcomes indicated potential for future trials to assess these interventions.

CONCLUSION

Our scoping review identified a range of digital approaches utilized to alleviate social isolation among individuals with mental health disorders. Conclusions regarding clinical effectiveness cannot be reached due to variability of approaches and lack of large-scale randomized controlled trials. To make clear recommendations for digital social isolation interventions, future research needs to be based on rigorous methods and larger samples. Future studies should also focus on utilizing theory-driven approaches and improving existing approaches to advance the field.

Social isolation and psychosis: an investigation of social interactions and paranoia in daily life

Social isolation has been suggested to foster paranoia. Here we investigate whether social company (i.e., being alone vs. not) and its nature (i.e., stranger/distant vs. familiar other) affects paranoia differently depending on psychosis risk. Social interactions and paranoid thinking in daily life were investigated in 29 patients with clinically stable non-affective psychotic disorders, 20 first-degree relatives, and 26 controls (n = 75), using the experience sampling method (ESM). ESM was completed up to ten times daily for 1 week. Patients experienced marginally greater paranoia than relatives [b = 0.47, p = 0.08, 95% CI (- 0.06, 1.0)] and significantly greater paranoia than controls [b = 0.55, p = 0.03, 95% CI (0.5, 1.0)], but controls and relatives did not differ [b = 0.07, p = 0.78, 95% CI (- 0.47, 0.61)]. Patients were more often alone [68.5% vs. 44.8% and 56.2%, respectively, p = 0.057] and experienced greater paranoia when alone than when in company [b = 0.11, p = 0.016, 95% CI (0.02, 0.19)]. In relatives this was reversed [b = - 0.17, p < 0.001, 95% CI (- 0.28, - 0.07)] and in controls non-significant [b = - 0.02, p = 0.67, 95% CI (- 0.09, 0.06)]. The time-lagged association between being in social company and subsequent paranoia was non-significant and paranoia did not predict the likelihood of being in social company over time (both p's = 0.68). All groups experienced greater paranoia in company of strangers/distant others than familiar others [X2(2) = 4.56, p = 0.03] and being with familiar others was associated with lower paranoia over time [X2(2) = 4.9, p = 0.03]. Patients are frequently alone. Importantly, social company appears to limit their paranoia, particularly when being with familiar people. The findings stress the importance of interventions that foster social engagement and ties with family and friends.

Diagnosis of Depressive Disorder Model on Facial Expression Based on Fast R-CNN

This study examines related literature to propose a model based on artificial intelligence (AI), that can assist in the diagnosis of depressive disorder. Depressive disorder can be diagnosed through a self-report questionnaire, but it is necessary to check the mood and confirm the consistency of subjective and objective descriptions. Smartphone-based assistance in diagnosing depressive disorders can quickly lead to their identification and provide data for intervention provision. Through fast region-based convolutional neural networks (R-CNN), a deep learning method that recognizes vector-based information, a model to assist in the diagnosis of depressive disorder can be devised by checking the position change of the eyes and lips, and guessing emotions based on accumulated photos of the participants who will repeatedly participate in the diagnosis of depressive disorder.

Smartphone-Delivered Ecological Momentary Interventions Based on Ecological Momentary Assessments to Promote Health Behaviors: Systematic Review and Adapted Checklist for Reporting Ecological Momentary Assessment and Intervention Studies

Background

Healthy behaviors are crucial for maintaining a person’s health and well-being. The effects of health behavior interventions are mediated by individual and contextual factors that vary over time. Recently emerging smartphone-based ecological momentary interventions (EMIs) can use real-time user reports (ecological momentary assessments [EMAs]) to trigger appropriate support when needed in daily life.

Objective

This systematic review aims to assess the characteristics of smartphone-delivered EMIs using self-reported EMAs in relation to their effects on health behaviors, user engagement, and user perspectives.

Methods

We searched MEDLINE, Embase, PsycINFO, and CINAHL in June 2019 and updated the search in March 2020. We included experimental studies that incorporated EMIs based on EMAs delivered through smartphone apps to promote health behaviors in any health domain. Studies were independently screened. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were followed. We performed a narrative synthesis of intervention effects, user perspectives and engagement, and intervention design and characteristics. Quality appraisal was conducted for all included studies.

Results

We included 19 papers describing 17 unique studies and comprising 652 participants. Most studies were quasi-experimental (13/17, 76%), had small sample sizes, and great heterogeneity in intervention designs and measurements. EMIs were most popular in the mental health domain (8/17, 47%), followed by substance abuse (3/17, 18%), diet, weight loss, physical activity (4/17, 24%), and smoking (2/17, 12%). Of the 17 studies, the 4 (24%) included randomized controlled trials reported nonstatistically significant effects on health behaviors, and 4 (24%) quasi-experimental studies reported statistically significant pre-post improvements in self-reported primary outcomes, namely depressive (P<.001) and psychotic symptoms (P=.03), drinking frequency (P<.001), and eating patterns (P=.01). EMA was commonly used to capture subjective experiences as well as behaviors, whereas sensors were rarely used. Generally, users perceived EMIs to be helpful. Common suggestions for improvement included enhancing personalization, multimedia and interactive capabilities (eg, voice recording), and lowering the EMA reporting burden. EMI and EMA components were rarely reported and were not described in a standardized manner across studies, hampering progress in this field. A reporting checklist was developed to facilitate the interpretation and comparison of findings and enhance the transparency and replicability of future studies using EMAs and EMIs.

Conclusions

The use of smartphone-delivered EMIs using self-reported EMAs to promote behavior change is an emerging area of research, with few studies evaluating efficacy. Such interventions could present an opportunity to enhance health but need further assessment in larger participant cohorts and well-designed evaluations following reporting checklists. Future research should explore combining self-reported EMAs of subjective experiences with objective data passively collected via sensors to promote personalization while minimizing user burden, as well as explore different EMA data collection methods (eg, chatbots).

Trial Registration

PROSPERO CRD42019138739; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=138739

Mobile Ecological Momentary Assessment and Intervention and Health Behavior Change Among Adults in Rakai, Uganda: Pilot Randomized Controlled Trial

BACKGROUND

An extraordinary increase in mobile phone ownership has revolutionized the opportunities to use mobile health approaches in lower- and middle-income countries (LMICs). Ecological momentary assessment and intervention (EMAI) uses mobile technology to gather data and deliver timely, personalized behavior change interventions in an individual's natural setting. To our knowledge, there have been no previous trials of EMAI in sub-Saharan Africa.

OBJECTIVE

To advance the evidence base for mobile health (mHealth) interventions in LMICs, we conduct a pilot randomized trial to assess the feasibility of EMAI and establish estimates of the potential effect of EMAI on a range of health-related behaviors in Rakai, Uganda.

METHODS

This prospective, parallel-group, randomized pilot trial compared health behaviors between adult participants submitting ecological momentary assessment (EMA) data and receiving behaviorally responsive interventional health messaging (EMAI) with those submitting EMA data alone. Using a fully automated mobile phone app, participants submitted daily reports on 5 different health behaviors (fruit consumption, vegetable consumption, alcohol intake, cigarette smoking, and condomless sex with a non-long-term partner) during a 30-day period before randomization (P1). Participants were then block randomized to the control arm, continuing EMA reporting through exit, or the intervention arm, EMA reporting and behavioral health messaging receipt. Participants exited after 90 days of follow-up, divided into study periods 2 (P2: randomization + 29 days) and 3 (P3: 30 days postrandomization to exit). We used descriptive statistics to assess the feasibility of EMAI through the completeness of data and differences in reported behaviors between periods and study arms.

RESULTS

The study included 48 participants (24 per arm; 23/48, 48% women; median age 31 years). EMA data collection was feasible, with 85.5% (3777/4418) of the combined days reporting behavioral data. There was a decrease in the mean proportion of days when alcohol was consumed in both arms over time (control: P1, 9.6% of days to P2, 4.3% of days; intervention: P1, 7.2% of days to P3, 2.4% of days). Decreases in sex with a non-long-term partner without a condom were also reported in both arms (P1 to P3 control: 1.9% of days to 1% of days; intervention: 6.6% of days to 1.3% of days). An increase in vegetable consumption was found in the intervention (vegetable: 65.6% of days to 76.6% of days) but not in the control arm. Between arms, there was a significant difference in the change in reported vegetable consumption between P1 and P3 (control: 8% decrease in the mean proportion of days vegetables consumed; intervention: 11.1% increase; P=.01).

CONCLUSIONS

Preliminary estimates suggest that EMAI may be a promising strategy for promoting behavior change across a range of behaviors. Larger trials examining the effectiveness of EMAI in LMICs are warranted.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04375423; https://www.clinicaltrials.gov/ct2/show/NCT04375423.

Ecological momentary interventions for mental health: A scoping review

BACKGROUND

The development of mobile computing technology has enabled the delivery of psychological interventions while people go about their everyday lives. The original visions of the potential of these "ecological momentary interventions" were presented over a decade ago, and the widespread adoption of smartphones in the intervening years has led to a variety of research studies exploring the feasibility of these aspirations. However, there is a dearth of research describing the different dimensions, characteristics, and features of these interventions, as constructed.

OBJECTIVE

To provide an overview of the definitions given for "ecological momentary interventions" in the treatment of common mental health disorders, and describe the set of technological and interaction possibilities which have been used in the design of these interventions.

METHODS

A systematic search identified relevant literature published between 2009 and 2020 in the PubMed, PsycInfo, and ACM Guide to the Computing Literature databases. Following screening, data were extracted from eligible articles using a standardized extraction worksheet. Selected articles were then thematically categorized.

RESULTS

The search identified 583 articles of which 64 met the inclusion criteria. The interventions target a range of mental health problems, with diverse aims, intervention designs and evaluation approaches. The studies employed a variety of features for intervention delivery, but recent research is overwhelmingly comprised of studies based on smartphone apps (30 of 42 papers that described an intervention). Twenty two studies employed sensors for the collection of data in order to provide just-in-time support or predict psychological states.

CONCLUSIONS

With the shift towards smartphone apps, the vision for EMIs has begun to be realised. Recent years have seen increased exploration of the use of sensors and machine learning, but the role of humans in the delivery of EMI is also varied. The variety of capabilities exhibited by EMIs motivates development of a more precise vocabulary for capturing both automatic and human tailoring of these interventions.

Introducing the DizzyQuest: an app-based diary for vestibular disorders

Background

Most questionnaires currently used for assessing symptomatology of vestibular disorders are retrospective, inducing recall bias and lowering ecological validity. An app-based diary, administered multiple times in daily life, could increase the accuracy and ecological validity of symptom measurement. The objective of this study was to introduce a new experience sampling method (ESM) based vestibular diary app (DizzyQuest), evaluate response rates, and to provide examples of DizzyQuest outcome measures which can be used in future research.

Methods

Sixty-three patients diagnosed with a vestibular disorder were included. The DizzyQuest consisted of four questionnaires. The morning- and evening-questionnaires were administered once each day, the within-day-questionnaire 10 times a day using a semi-random time schedule, and the attack questionnaire could be completed after the occurrence of a vertigo or dizziness attack. Data were collected for 4 weeks. Response rates and loss-to-follow-up were determined. Reported symptoms in the within-day-questionnaire were compared within and between patients and subgroups of patients with different vestibular disorders.

Results

Fifty-one patients completed the study period. Average response rates were significantly higher than the desired response rate of > 50% (p < 0.001). The attack-questionnaire was used 159 times. A variety of neuro-otological symptoms and different disease profiles were demonstrated between patients and subgroups of patients with different vestibular disorders.

Conclusion

The DizzyQuest is able to capture vestibular symptoms within their psychosocial context in daily life, with little recall bias and high ecological validity. The DizzyQuest reached the desired response rates and showed different disease profiles between subgroups of patients with different vestibular disorders. This is the first time ESM was used to assess daily symptoms and quality of life in vestibular disorders, showing that it might be a useful tool in this population.

Electronic supplementary material

The online version of this article (10.1007/s00415-020-10092-2) contains supplementary material, which is available to authorized users.