A New Mental Health Mobile App for Well-Being and Stress Reduction in Working Women: Randomized Controlled Trial

Longitudinal assessment of psychological distress and its determinants in a sample of firefighters based in Montreal, Canada

Introduction

Firefighters face elevated risks of common mental health issues, with distress rates estimated at around 30%, surpassing those of many other occupational groups. While exposure to potentially traumatic events (PTEs) is a well-recognized risk factor, existing research acknowledges the need for a broader perspective encompassing multidimensional factors within the realm of occupational stress. Furthermore, this body of evidence heavily relies on cross-sectional studies. This study adopts an intensive longitudinal approach to assess psychological distress and its determinants among firefighters.

Methods

Participants were recruited from 67 fire stations in Montreal, Canada, meeting specific criteria: full-time employment, smartphone ownership, and recent exposure to at least one PTE, or first responder status. Subjects underwent a telephone interview and were directed to use an app to report depressive, post-traumatic, and generalized anxiety symptoms every 2 weeks, along with work-related stressors, social support, and coping styles. Analyses involved 274 participants, distinguishing between those exceeding clinical thresholds in at least one distress measure (the "distressed" subgroup) and those deemed "resilient." The duration and onset of distress were computed for the distressed group, and linear mixed models were employed to evaluate determinants for each psychological distress variable.

Results

Clinical psychological distress was observed in 20.7% of participants, marked by depressive, post-traumatic, and anxiety symptoms, often within the first 4-week reference period. Contextual factors (operational climate, social support, solitude) and individual factors (coping style, solitude and lifetime traumatic events in private life) exhibited more significant impacts on psychological distress than professional pressures within the firefighters' work environment.

Discussion

This study reports lower rates of psychological distress than previous research, possibly attributable to sample differences. It highlights that reported symptoms often represent a combined and transient layer of distress rather than diagnosable mental disorders. Additionally, determinants analysis underscores the importance of interpersonal relationships and coping mechanisms for mental health prevention interventions within this worker group. The findings carry implications for the development of prevention and support programs for firefighters and similar emergency workers.

Advantages and disadvantages of mobile applications for workplace health promotion: A scoping review

Different interventions and methods are used for workplace health promotion (WHP) programmes, including mobile applications (apps), which have proven effective among different health outcomes if properly communicated and developed. However, knowledge is lacking on the potential advantages and disadvantages of using this technology for WHP compared with nontechnical WHP programmes to support employers in their decision making and effective development of such an intervention. To obtain an overview of factors that decision-makers should consider when deciding whether to implement an WHP app, we conducted a scoping review of studies that have evaluated WHP apps. Potential advantages and disadvantages of using mobile apps for WHP were summarised using a strengths, weaknesses, opportunities and threats (SWOT) analysis. Articles were included if they focussed on a WHP app, were published between 2007 and 2022 in German or English, and evaluated an app for the general employee population. Altogether, 38 studies were included in the review, demonstrating WHP apps' effectiveness among various use cases in terms of content, e.g., mindfulness or sleep, and target groups, e.g., office workers, nurses or pilots. Strengths were found in the context of adoption, convenience for users, the targeted employee group's reach and cost-effectiveness. However, the review also identified some disadvantages in apps, including technical difficulties and usage barriers, as well as challenges, e.g., privacy issues and maintenance costs. Generally, our review found that different factors need to be considered when deciding whether to implement a WHP app based on the individual company situation, e.g., shift work, content to be communicated, and expectations for health parameter screening, among many others. By summarising recent literature on WHP apps, this review uses scientific knowledge to give employers an overview of potential factors to consider in their decision making.

A Literature Review to Identify Effective Web- and App-Based mHealth Interventions for Stress Management at Work

BACKGROUND

Persistent job-related stress can be harmful to physical and mental health and has a sizable financial burden on society. Face-to-face interventions are effective in reducing stress but have the disadvantage of high costs and time requirements. mHealth solutions may be an effective alternative to provide stress management interventions at work. Occupational health professionals need information on which mHealth apps are effective for employees to manage job-related stress. The aim of this review is to provide an overview of effective web- and app-based interventions for reduction of job-related stress and stress-related symptoms.

METHOD

A literature review was conducted in the databases PubMed, PsycINFO, CINAHL Complete, and IEEEXplore.

FINDINGS

A total of 24 articles describing 19 products were found. All products showed effectiveness in trials in improving mental and/or physical health and reducing stress. Most products have a course-like structure with a duration from 1 to 8 weeks. The products use various methods such as psychoeducation and education on stress, cognitive restructuring, emotional regulation, problem-solving, goal setting, gratitude, breathing, or mindfulness techniques. Most products use more than one method and most mixed material such as text on web pages, text messages, videos, reading and audio material, and games.

CONCLUSION/APPLICATION TO PRACTICE

Overall, effective mHealth products were identified for the intervention of acute and chronic stress. Occupational health practitioners can use these 19 evidence-based mHealth products when advising organizations on health promotion of employees to reduce stress symptoms and promote health and well-being.

Mindfulness-Based Mobile Apps and Their Impact on Well-Being in Nonclinical Populations: Systematic Review of Randomized Controlled Trials

BACKGROUND

Mindfulness-based mobile apps have become popular tools for enhancing well-being in today's fast-paced world. Their ability to reduce geographical, financial, and social barriers makes them a promising alternative to traditional interventions.

OBJECTIVE

As most available apps lack a theoretical framework, this review aimed to evaluate their effectiveness and assess their quality. We expected to find small sample sizes, high dropout rates, and small effect sizes in the included studies.

METHODS

A systematic literature search was conducted using PsycInfo, PsycNet, PubMed, an institutional search engine (u:search), and Google Scholar. Randomized controlled trials assessing the impact of mobile mindfulness apps on well-being in nonclinical samples were included. Study selection, risk of bias (using the version 2 of the Cochrane risk-of-bias tool for randomized trials), and reporting quality (using selected CONSORT [Consolidated Standards of Reporting Trials] statement criteria) assessments were performed by 2 authors independently and discussed until a consensus was reached.

RESULTS

The 28 included randomized controlled trials differed in well-being measures, apps, and intervention duration (7 to 56 days; median duration 28 days). A wide range of sample sizes (12 to 2282; median 161) and attrition rates (0% to 84.7%; median rate 23.4%) were observed. Most studies (19/28, 68%) reported positive effects on at least one aspect of well-being. The effects were presented using different metrics but were primarily small or small to medium in size. Overall risk of bias was mostly high.

CONCLUSIONS

The wide range of sample sizes, attrition rates, and intervention periods and the variation in well-being measures and mobile apps contributed to the limited comparability of the studies. Although most studies (16/28, 57%) reported small or small to medium effects for at least one well-being outcome, this review demonstrates that the generalizability of the results is limited. Further research is needed to obtain more consistent conclusions regarding the impact of mindfulness-based mobile apps on well-being in nonclinical populations.

Individual-level interventions for reducing occupational stress in healthcare workers

BACKGROUND

Healthcare workers can suffer from work-related stress as a result of an imbalance of demands, skills and social support at work. This may lead to stress, burnout and psychosomatic problems, and deterioration of service provision. This is an update of a Cochrane Review that was last updated in 2015, which has been split into this review and a review on organisational-level interventions.  OBJECTIVES: To evaluate the effectiveness of stress-reduction interventions targeting individual healthcare workers compared to no intervention, wait list, placebo, no stress-reduction intervention or another type of stress-reduction intervention in reducing stress symptoms.  SEARCH METHODS: We used the previous version of the review as one source of studies (search date: November 2013). We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, PsycINFO, CINAHL, Web of Science and a trials register from 2013 up to February 2022.

SELECTION CRITERIA

We included randomised controlled trials (RCT) evaluating the effectiveness of stress interventions directed at healthcare workers. We included only interventions targeted at individual healthcare workers aimed at reducing stress symptoms.  DATA COLLECTION AND ANALYSIS: Review authors independently selected trials for inclusion, assessed risk of bias and extracted data. We used standard methodological procedures expected by Cochrane. We categorised interventions into ones that: 1. focus one's attention on the (modification of the) experience of stress (thoughts, feelings, behaviour);  2. focus one's attention away from the experience of stress by various means of psychological disengagement (e.g. relaxing, exercise);  3. alter work-related risk factors on an individual level; and ones that 4. combine two or more of the above.  The crucial outcome measure was stress symptoms measured with various self-reported questionnaires such as the Maslach Burnout Inventory (MBI), measured at short term (up to and including three months after the intervention ended), medium term (> 3 to 12 months after the intervention ended), and long term follow-up (> 12 months after the intervention ended).  MAIN RESULTS: This is the second update of the original Cochrane Review published in 2006, Issue 4. This review update includes 89 new studies, bringing the total number of studies in the current review to 117 with a total of 11,119 participants randomised.  The number of participants per study arm was ≥ 50 in 32 studies. The most important risk of bias was the lack of blinding of participants.  Focus on the experience of stress versus no intervention/wait list/placebo/no stress-reduction intervention Fifty-two studies studied an intervention in which one's focus is on the experience of stress. Overall, such interventions may result in a reduction in stress symptoms in the short term (standardised mean difference (SMD) -0.37, 95% confidence interval (CI) -0.52 to -0.23; 41 RCTs; 3645 participants; low-certainty evidence) and medium term (SMD -0.43, 95% CI -0.71 to -0.14; 19 RCTs; 1851 participants; low-certainty evidence). The SMD of the short-term result translates back to 4.6 points fewer on the MBI-emotional exhaustion scale (MBI-EE, a scale from 0 to 54). The evidence is very uncertain (one RCT; 68 participants, very low-certainty evidence) about the long-term effect on stress symptoms of focusing one's attention on the experience of stress. Focus away from the experience of stress versus no intervention/wait list/placebo/no stress-reduction intervention  Forty-two studies studied an intervention in which one's focus is away from the experience of stress. Overall, such interventions may result in a reduction in stress symptoms in the short term (SMD -0.55, 95 CI -0.70 to -0.40; 35 RCTs; 2366 participants; low-certainty evidence) and medium term (SMD -0.41 95% CI -0.79 to -0.03; 6 RCTs; 427 participants; low-certainty evidence). The SMD on the short term translates back to 6.8 fewer points on the MBI-EE. No studies reported the long-term effect. Focus on work-related, individual-level factors versus no intervention/no stress-reduction intervention Seven studies studied an intervention in which the focus is on altering work-related factors. The evidence is very uncertain about the short-term effects (no pooled effect estimate; three RCTs; 87 participants; very low-certainty evidence) and medium-term effects and long-term effects (no pooled effect estimate; two RCTs; 152 participants, and one RCT; 161 participants, very low-certainty evidence) of this type of stress management intervention.  A combination of individual-level interventions versus no intervention/wait list/no stress-reduction intervention Seventeen studies studied a combination of interventions. In the short-term, this type of intervention may result in a reduction in stress symptoms (SMD -0.67 95%, CI -0.95 to -0.39; 15 RCTs; 1003 participants; low-certainty evidence). The SMD translates back to 8.2 fewer points on the MBI-EE. On the medium term, a combination of individual-level interventions may result in a reduction in stress symptoms, but the evidence does not exclude no effect (SMD -0.48, 95% CI -0.95 to 0.00; 6 RCTs; 574 participants; low-certainty evidence). The evidence is very uncertain about the long term effects of a combination of interventions on stress symptoms (one RCT, 88 participants; very low-certainty evidence). Focus on stress versus other intervention type  Three studies compared focusing on stress versus focusing away from stress and one study a combination of interventions versus focusing on stress. The evidence is very uncertain about which type of intervention is better or if their effect is similar.

AUTHORS' CONCLUSIONS

Our review shows that there may be an effect on stress reduction in healthcare workers from individual-level stress interventions, whether they focus one's attention on or away from the experience of stress. This effect may last up to a year after the end of the intervention. A combination of interventions may be beneficial as well, at least in the short term. Long-term effects of individual-level stress management interventions remain unknown. The same applies for interventions on (individual-level) work-related risk factors. The bias assessment of the studies in this review showed the need for methodologically better-designed and executed studies, as nearly all studies suffered from poor reporting of the randomisation procedures, lack of blinding of participants and lack of trial registration. Better-designed trials with larger sample sizes are required to increase the certainty of the evidence. Last, there is a need for more studies on interventions which focus on work-related risk factors.

Mindfulness-Based and Mindfulness-Informed Interventions at the Workplace: A Systematic Review and Meta-Regression Analysis of RCTs

Objectives

Positive effects of mindfulness-based interventions (MBIs) on occupational health have been demonstrated by several systematic review studies during the last two decades. So far, existing reviews excluded mindfulness-informed interventions (MIIs) that build on informal approaches or mixed techniques aiming at improving mindfulness indirectly. To address this research gap, the present comprehensive meta-analysis synthesizes the results of RCTs of MBIs and MIIs conducted in various workplace settings.

Method

A systematic literature search was conducted in five electronic databases complemented by manual search. Random-effects models were used to synthesize standardized mean differences (SMDs) for 25 outcomes and seven overarching categories of outcomes, and to detect various temporal effects. Meta-regressions were run to elucidate average SMDs between mindfulness intervention types and intervention and population characteristics, with the goal of detecting sources of heterogeneity and help guide the selection of the most appropriate mindfulness intervention type.

Results

Based on 91 eligible studies (from 92 publications), including 4927 participants and 4448 controls, the synthesis shows that MBIs and MIIs significantly improve mindfulness (SMD = 0.43; 95%-CI [0.33;0.52]), well-being (SMD = 0.63; 95%-CI [0.34;0.93]), mental health (SMD = 0.67; 95%-CI [0.48;0.86]), stress (SMD = 0.72; 95%-CI [0.54;0.90]), resilience (SMD = 1.06; 95%-CI [-0.22;2.34]), physical health (SMD = 0.45; 95%-CI [0.32;0.59]), and work-related factors (SMD = 0.62; 95%-CI [0.14;1.10]). Sensitivity analyses demonstrate a tendency towards smaller effect sizes due to extreme outliers. Effect sizes are stable in short-term follow-up assessments (1-12 weeks) for most outcomes, but not for long-term follow-up assessments (13-52 weeks). Meta-regressions suggest that observable intervention characteristics (e.g., online delivery) and population characteristics (e.g., age of participants), as well as study quality, do not explain the prevalence of heterogeneity in effect sizes.

Conclusions

Generally effective, mindfulness interventions are a useful tool to enhance aspects of employee health. However, because of heterogeneity and risk of bias, studies aiming at high-quality data collection and thorough reporting are necessary to draw firm conclusions.

Preregistration

A protocol of this systematic review was registered with PROSPERO (Registration-No. CRD42020159927).

Supplementary Information

The online version contains supplementary material available at 10.1007/s12671-023-02130-7.

Effects of Mobile Mindfulness Meditation on the Mental Health of University Students: Systematic Review and Meta-analysis

BACKGROUND

Mobile mindfulness meditation (MMM) is a mindfulness meditation intervention implemented using mobile devices such as smartphones and apps. MMM has been used to help manage the mental health of university students.

OBJECTIVE

This study aims to evaluate the effectiveness of MMM on the mental health of university students in the areas of stress, anxiety, depression, mindfulness, well-being, and resilience.

METHODS

We conducted a systematic review and meta-analysis of the effectiveness of MMM on the mental health of university students. This study followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. An electronic literature search was performed on PubMed, Web of Science, EBSCO, Cochrane Library, and Embase databases, from inception to July 16, 2021. This study was conducted to identify studies that reported the effects of MMM on the primary outcomes including stress, anxiety, and depression, and on the secondary outcomes including mindfulness, well-being, and resilience. Two reviewers retrieved articles, evaluated quality, and extracted data independently. The methodological quality of the selected studies was determined using the Cochrane criteria for risk-of-bias assessment. Standardized mean differences (SMDs) for continuous outcomes and risk ratios for dichotomous outcomes were calculated. Sensitivity analyses and subgroup analyses were performed for results with high heterogeneity. The RevMan version 5.3 was used to perform meta-analysis.

RESULTS

A total of 10 studies, including 958 university students, were selected for this meta-analysis. Results of the primary outcome showed that the MMM groups were more effective than the control groups in decreasing stress (SMD -0.41, 95% CI -0.59 to -0.23; P<.001) and alleviating anxiety (SMD -0.29, 95% CI -0.50 to -0.09; P=.004). However, there was no difference between the MMM groups and the control groups in depression (SMD -0.14, 95% CI -0.30 to 0.03; P=.11). The use of either waitlist control or traditional face-to-face intervention in the control group was identified as the source of heterogeneity. Specifically, the waitlist control subgroup (SMD -0.33, 95% CI -0.53 to -0.13; P=.002) was superior when compared with the face-to-face subgroup (SMD 0.29, 95% CI -0.01 to 0.59; P=.06). Results of the secondary outcome showed that the MMM groups were more effective than the control groups in enhancing well-being (SMD 0.30, 95% CI 0.11-0.50; P=.003) and improving mindfulness (SMD 2.66, 95% CI 0.77-4.55; P=.006). Whether commercial sponsorship was obtained was considered as the source of heterogeneity. The "without company support" group (SMD 17.60, 95% CI 11.32-23.87; P<.001) was superior to the "with company support" group (SMD 1.17, 95% CI -0.82 to 3.15; P=.25) in raising the level of mindfulness. However, there was no difference between the MMM and control groups in resilience (SMD -0.06, 95% CI -0.26 to 0.15; P=.59). The evidence level of the results from the 10 studies was determined to be moderate to low.

CONCLUSIONS

MMM was an effective method to reduce stress and anxiety, and to increase the well-being and mindfulness of university students. However, further studies are needed to confirm our findings.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42022303585; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=303585.

Adolescents' Well-being While Using a Mobile Artificial Intelligence-Powered Acceptance Commitment Therapy Tool: Evidence From a Longitudinal Study

BACKGROUND

Adolescence is a critical developmental period to prevent and treat the emergence of mental health problems. Smartphone-based conversational agents can deliver psychologically driven intervention and support, thus increasing psychological well-being over time.

OBJECTIVE

The objective of the study was to test the potential of an automated conversational agent named Kai.ai to deliver a self-help program based on Acceptance Commitment Therapy tools for adolescents, aimed to increase their well-being.

METHODS

Participants were 10,387 adolescents, aged 14-18 years, who used Kai.ai on one of the top messaging apps (eg, iMessage and WhatsApp). Users' well-being levels were assessed between 2 and 5 times using the 5-item World Health Organization Well-being Index questionnaire over their engagement with the service.

RESULTS

Users engaged with the conversational agent an average of 45.39 (SD 46.77) days. The average well-being score at time point 1 was 39.28 (SD 18.17), indicating that, on average, users experienced reduced well-being. Latent growth curve modeling indicated that participants' well-being significantly increased over time (β=2.49; P<.001) and reached a clinically acceptable well-being average score (above 50).

CONCLUSIONS

Mobile-based conversational agents have the potential to deliver engaging and effective Acceptance Commitment Therapy interventions.

Effectiveness of Digital Interventions for Deficit-Oriented and Asset-Oriented Psychological Outcomes in the Workplace: A Systematic Review and Narrative Synthesis

BACKGROUND

Digital psychological interventions can target deficit-oriented and asset-oriented psychological outcomes in the workplace. This review examined: (a) the effectiveness of digital interventions for psychological well-being at work, (b) associations with workplace outcomes, and (c) associations between interventions' effectiveness and their theory-base.

METHODS

six electronic databases were searched for randomised controlled trials (RCT) and quasi-experimental studies. The methodological quality of studies that used randomisation was conducted with the "Cochrane Collaboration's Risk of Bias" tool, while the "JBI Critical Appraisal Checklist" was used for non-randomised studies. Studies' theory-base was evaluated using an adaptation of the "theory coding scheme" (TSC). Due to heterogeneity, narrative synthesis was performed.

RESULTS

51 studies were included in a synthesis describing four clusters of digital interventions: (a) cognitive behavioural therapy, (b) stress-management interventions and workplace well-being promotion, (c) meditation training and mindfulness-based interventions, and (d) self-help interventions. Studies demonstrated a high risk of contamination effects and high attrition bias. Theory-informed interventions demonstrated greater effectiveness. Cognitive behavioural therapy demonstrated the most robust evidence for reducing depression symptoms among healthy employees. With the exception of the Headspace application, there was weak evidence for meditation training apps, while relaxation training was a key component of effective stress-management interventions.

Effects of a Mindfulness Intervention Comprising an App, Web-Based Workshops, and a Workbook on Perceived Stress Among Nurses and Nursing Trainees: Protocol for a Randomized Controlled Trial

Background

Previous research has found digitally supported mindfulness interventions to be effective when used for stress management among workers in high-stress occupations. Findings on digitally supported mindfulness interventions among nurses working in acute inpatient care settings are heterogeneous, lack long-term follow-up, and do not assess adherence and acceptability.

Objective

This study aimed to investigate the effectiveness and efficacy of a digitally supported mindfulness intervention designed to improve health- and work-related outcomes among nurses and nursing trainees working in acute inpatient care settings.

Methods

We will conduct a multicenter randomized controlled trial using a wait-list control group design. Randomization will be stratified by hospital and job status (nurse or nursing trainee). Recruitment will take place on the web and offline during the working hours of nurses and nursing trainees. The intervention group will receive a digitally supported mindfulness intervention, which will comprise an app, 2 web-based workshops, and a workbook, whereas the wait-list control group will be scheduled to receive the same intervention 14 weeks later. The 2 web-based workshops will be led by a certified mindfulness-based stress reduction trainer. Nurses will use the app and the workbook independently. Self-report web-based surveys will be conducted on the web at baseline, at 10 weeks after allocation, at 24 weeks after allocation, and at 38 weeks after allocation. Outcomes of interest will include perceived stress (primary outcome), health- and work-related variables, and variables related to adherence and acceptability of the digitally supported mindfulness intervention. We will perform intention-to-treat and per-protocol analyses.

Results

Data collection will be completed by the beginning of August 2022. Data analyses will be completed by December 2022.

Conclusions

Our study design, including long-term follow-up and the investigation of variables related to adherence and acceptability, will ensure rigorous evaluation of effectiveness and efficacy. Relative to costly in-person intervention efforts, this program may present a cost-effective and potentially highly scalable alternative. Findings regarding effectiveness, efficacy, adherence, and acceptability will inform stakeholders’ decisions regarding the implementation of similar interventions to promote the well-being of nurses and nursing trainees, which may, in turn, alleviate detrimental stress-related outcomes (eg, burnout) because of work-related demands.

Trial Registration

German Clinical Trials Register DRKS00025997; https://tinyurl.com/433cas7u

International Registered Report Identifier (IRRID)

DERR1-10.2196/37195

The Efficacy of "Foundations," a Digital Mental Health App to Improve Mental Well-being During COVID-19: Proof-of-Principle Randomized Controlled Trial

BACKGROUND

Against a long-term trend of increasing demand, the COVID-19 pandemic has led to a global rise in common mental disorders. Now more than ever, there is an urgent need for scalable, evidence-based interventions to support mental well-being.

OBJECTIVE

The aim of this proof-of-principle study was to evaluate the efficacy of a mobile-based app in adults with self-reported symptoms of anxiety and stress in a randomized control trial that took place during the first wave of the COVID-19 pandemic in the United Kingdom.

METHODS

Adults with mild to severe anxiety and moderate to high levels of perceived stress were randomized to either the intervention or control arm. Participants in the intervention arm were given access to the Foundations app for the duration of the 4-week study. All participants were required to self-report a range of validated measures of mental well-being (10-item Connor-Davidson Resilience scale [CD-RISC-10], 7-item Generalized Anxiety Disorder scale [GAD-7], Office of National Statistics Four Subjective Well-being Questions [ONS-4], World Health Organization-5 Well-Being Index [WHO-5]) and sleep (Minimal Insomnia Scale [MISS]) at baseline and at weeks 2 and 4. The self-reported measures of perceived stress (10-item Perceived Stress Score [PSS-10]) were obtained weekly.

RESULTS

A total of 136 participants completed the study and were included in the final analysis. The intervention group (n=62) showed significant improvements compared to the control group (n=74) on measures of anxiety, with a mean GAD-7 score change from baseline of -1.35 (SD 4.43) and -0.23 (SD 3.24), respectively (t₁₃₄=1.71, P=.04); resilience, with a mean change in CD-RISC score of 1.79 (SD 4.08) and -0.31 (SD 3.16), respectively (t₁₃₄=-3.37, P<.001); sleep, with a mean MISS score change of -1.16 (SD 2.67) and -0.26 (SD 2.29), respectively (t₁₃₄=2.13, P=.01); and mental well-being, with a mean WHO-5 score change of 1.53 (SD 5.30) and -0.23 (SD 4.20), respectively (t₁₃₄=-2.16, P=.02), within 2 weeks of using Foundations, with further improvements emerging at week 4. Perceived stress was also reduced within the intervention group, although the difference did not reach statistical significance relative to the control group, with a PSS score change from baseline to week 2 of -2.94 (SD 6.84) and -2.05 (SD 5.34), respectively (t₁₃₄= 0.84, P=.20).

CONCLUSIONS

This study provides a proof of principle that the digital mental health app Foundations can improve measures of mental well-being, anxiety, resilience, and sleep within 2 weeks of use, with greater effects after 4 weeks. Foundations therefore offers potential as a scalable, cost-effective, and accessible solution to enhance mental well-being, even during times of crisis such as the COVID-19 pandemic.

TRIAL REGISTRATION

OSF Registries osf.io/f6djb; https://osf.io/vm3xq.

Health Promotion for Outpatient Careworkers in Germany

Due to ongoing demographic changes, the need for care is increasing in Germany. The number of outpatient care services is also rising, and with it, the number of employees in outpatient care, who are also continuously becoming older. Workplace health promotion (WHP) becomes relevant in this context, as it can reduce negative strain reactions and promote employees’ health. The aim of this study was (1) to reveal implemented WHP interventions in German outpatient care services; (2) to examine the potential challenges regarding a successful implementation of WHP measures; and (3) to illuminate further requests and needs experienced by outpatient careworkers. In qualitative field research, 30 semi-structured individual interviews were conducted with German caregivers, using the problem-centered interview method. The collected data were deductively and inductively evaluated and interpreted, using qualitative content analysis according to Mayring. Outpatient caregivers reported various WHP measures known from their workplaces, such as the provision of fruit baskets, programmes to increase physical activity, or a subsidy for a personal gym. They further reported WHP, such as back training, known from other care services. However, the respondents spoke of the challenges regarding the implementation or the use of WHP interventions in general. The most frequently named barriers were a lack of time after work and interventions that were only offered in their leisure time. In the same course, the participants still needed offers to increase physical activity, joint activities, or relaxation techniques. However, respondents highlighted that they preferred the interventions to take place during working hours. This way, they would also be more likely to take advantage of the interventions. The results of this study provide an insight into various WHP measures that already exist, or that are desirable for implementation with regard to caregivers’ needs. Subjectively perceived challenges for a successful implementation of WHP measures represent the importance of adjustments in the work organization of caregivers. It becomes clear that WHP is not yet established in the ambulant care sector, although it appears to be imperative for keeping caregivers healthy. Considering the different needs of employees, the results can provide a basis for the development of needs-based health promotion measures for caregivers.

A Mobile App for Stress Management in Middle-Aged Men and Women (Calm): Feasibility Randomized Controlled Trial

BACKGROUND

Middle-aged adults (40-65 years) report higher stress levels than most other age groups. There is a need to determine the feasibility of using a meditation app to reduce stress and improve stress-related outcomes in middle-aged adults with a focus on men, as previous meditation app-based studies have reported a low proportion of or even no male participants.

OBJECTIVE

This study aims to (1) determine the feasibility (ie, acceptability and demand with a focus on men) of a consumer-based meditation app (Calm), to reduce stress among middle-aged adults reporting elevated stress levels, and (2) explore the preliminary effects of Calm on perceived stress, psychological outcomes (anxiety, depressive symptoms, mindfulness, and general coping), health behaviors (physical activity and eating habits), and COVID-19 perceptions.

METHODS

This feasibility randomized controlled trial evaluated an app-based meditation intervention in middle-aged adults (N=83) with elevated stress levels (ie, Perceived Stress Scale score ≥15) and limited or no previous experience with meditation. Participants were randomized to the intervention group (Calm app) or a control (educational podcasts; POD) group. Participants completed self-report assessments at baseline and postintervention (week 4). Feasibility was measured as acceptability and demand using Bowen framework. Feasibility and COVID-19 perceptions data were examined using descriptive statistics, and preliminary effects were evaluated using repeated measures analysis of variance.

RESULTS

Participants were satisfied with Calm (27/28, 96%) and found it appropriate or useful (26/28, 93%). Most reported they would likely continue using the Calm app (18/28, 64%). More Calm users reported satisfaction, appropriateness or usefulness, and intent to continue app use than POD users. Calm users (n=33) completed a mean of 20 (SD 31.1) minutes of meditation on the days they meditated and 103 (SD 109.1) minutes of meditation per week. The average adherence rate to the prescribed meditation was 71% among Calm app users, compared to 62% among POD users. Recruitment rate of men was 35% (29/83). Of those randomized to Calm, 55% (15/29) were men, and retention among them was higher (14/15, 93%) than that among women (12/20, 60%). No significant within or between group differences were observed.

CONCLUSIONS

A 4-week, app-based mindfulness meditation intervention (Calm) may be feasible for middle-aged adults and a useful stress-management tool. Calm users expressed satisfaction with the app and felt it was appropriate and useful. Significant improvements in perceived stress and psychological outcomes or stress-related health behaviors were not observed. Even though men spent less time in meditation than women did and completed fewer weekly sessions, they were more likely to adhere to the prescription. Further research is needed for improving stress and stress-related outcomes among middle-aged adults with emphasis on the effects of mindfulness meditation apps for men.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04272138; https://clinicaltrials.gov/ct2/show/NCT04272138.

Are Organizational EHealth Interventions Becoming More Effective at Addressing Employee Mental Health; A Systematic Review and Meta-Analysis (Preprint)

Background

Mental health conditions are considered the leading cause of disability, sickness absence, and long-term work incapacity. eHealth interventions provide employees with access to psychological assistance. There has been widespread implementation and provision of eHealth interventions in the workplace as an inexpensive and anonymous way of addressing common mental disorders.

Objective

This updated review aimed to synthesize the literature on the efficacy of eHealth interventions for anxiety, depression, and stress outcomes in employee samples in organizational settings and evaluate whether their effectiveness has improved over time.

Methods

Systematic searches of relevant articles published from 2004 to July 2020 of eHealth intervention trials (app- or web-based) focusing on the mental health of employees were conducted. The quality and bias of all studies were assessed. We extracted means and SDs from publications by comparing the differences in effect sizes (Hedge g) in standardized mental health outcomes. We meta-analyzed these data using a random-effects model.

Results

We identified a tripling of the body of evidence, with 75 trials available for meta-analysis from a combined sample of 14,747 articles. eHealth interventions showed small positive effects for anxiety (Hedges g=0.26, 95% CI 0.13-0.39; P<.001), depression (Hedges g=0.26, 95% CI 0.19-0.34; P<.001), and stress (Hedges g=0.25, 95% CI 0.17-0.34; P<.001) in employees’ after intervention, with similar effects seen at the medium-term follow-up. However, there was evidence of no increase in the effectiveness of these interventions over the past decade.

Conclusions

This review and meta-analysis confirmed that eHealth interventions have a small positive impact on reducing mental health symptoms in employees. Disappointingly, we found no evidence that, despite the advances in technology and the enormous resources in time, research, and finance devoted to this area for over a decade, better interventions are being produced. Hopefully, these small effect sizes do not represent optimum outcomes in organizational settings.

Trial Registration

PROSPERO CRD42020185859; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=185859

Persuasive Technologies and Social Interactions in Professional Environments: Embedded Qualitative Case Study

BACKGROUND

Although previous studies have highlighted the impact of interactions on the web in the context of patient-health care professional (HCP) dyads, this paper extends that context to a triad that includes the role of employers and associated settings with social groups.

OBJECTIVE

This study aims to evaluate how the interactions between individuals and the social use of the platform affect individuals' use of persuasive technology and, in turn, their work environment actions and responses, by implementing a persuasive technology health and wellness platform in a work environment.

METHODS

For 8 months, we deployed a persuasive technology platform with different combinations of health-related features and content in 1 embedded case design with 8 fire stations for a small Canadian city (total number of participant firefighters, n=141) assigned to 1 of 2 treatments-interactive or static webpages. We used text-based content analysis techniques for outcome measures, drawn from a total of 29 participant exit interviews. In addition, medical assessments were conducted at baseline, midpoint, and end point by 7 HCPs and 1 researcher (BM), who also served as the data steward and managed the study.

RESULTS

Our results reveal that group, social, and work influences introduce new elements to the use of persuasive technology, which interact to foster higher levels of individual success. The platform in our study served as part of a larger social system, providing information that facilitated new behaviors at work and home. The 8-month group programs centered on exercise, nutrition, and smoking cessation. Groups of participants coached by certified professionals showed significant increases in sodium awareness, levels of actual exercise, and consistency of activities. As a result of the study, of 141 people, 15 (10.6%) were notified of serious medical health issues and 29 (20.6%) underwent blood work assessments and a privacy shield (protected by federal law) was enacted to protect employees from losing their employment based on any health concerns disclosed.

CONCLUSIONS

The persuasive technology platform, in combination with self-management and professional management and social interactions, significantly altered work management behaviors. Interactions among individual outcomes, group influences, and social situations strongly influenced individuals' behaviors in their work and home environments. Three things further improved the positive results that we observed: privacy shields (which allowed employees to reveal health concerns without fear of professional consequences), individual private activities aligned with group activities, and integration between HCP work with localized, organizational work roles.

In this paper we report the results of a pragmatic retrospective study aiming to test the effectiveness of a mobile phone delivered ACT based AI conversational coaching platform. In the on-boarding measurement half of all participants reported a WHO-5 score of 40 or less, well below the cut-off point of 50, and an indicator of poor well-being. However, on the last measurement recorded for each user half of all participants indicated a score of 52 and above, indicating a change for the better and an overall good well-being. These results highlight the great potential ACT-based mobile apps can have for improving users’ daily well-being. (Preprint)

Background

Research and dissemination of smartphone apps to deliver coaching and psychological driven intervention had seen a great surge in recent years. Notably, Acceptance Commitment Therapy (ACT) protocols were shown to be uniquely effective in treating symptoms for both depression and anxiety when delivered through smartphone apps. The aim of this study is to expand on that work and test the suitability of artificial intelligence–driven interventions delivered directly through popular texting apps.

Objective

This study evaluated our hypothesis that using Kai.ai will result in improved well-being.

Methods

We performed a pragmatic retrospective analysis of 2909 users who used Kai.ai on one of the top messaging apps (iMessage, WhatsApp, Discord, Telegram, etc). Users’ well-being levels were tracked using the World Health Organization-Five Well-Being Index throughout the engagement with service. A 1-tailed paired samples t test was used to assess well-being levels before and after usage, and hierarchical linear modeling was used to examine the change in symptoms over time.

Results

The median well-being score at the last measurement was higher (median 52) than that at the start of the intervention (median 40), indicating a significant improvement (W=2682927; P<.001). Furthermore, HLM results showed that the improvement in well-being was linearly related to the number of daily messages a user sent (β=.029; t_81.36=4; P<.001), as well as the interaction between the number of messages and unique number of days (β=–.0003; t_81.36=–2.2; P=.03).

Conclusions

Mobile-based ACT interventions are effective means to improve individuals’ well-being. Our findings further demonstrate Kai.ai’s great promise in helping individuals improve and maintain high levels of well-being and thus improve their daily lives.

Mobile Apps That Promote Emotion Regulation, Positive Mental Health, and Well-being in the General Population: Systematic Review and Meta-analysis

BACKGROUND

Among the general public, there appears to be a growing need and interest in receiving digital mental health and well-being support. In response to this, mental health apps (MHapps) are becoming available for monitoring, managing, and promoting positive mental health and well-being. Thus far, evidence supports favorable outcomes when users engage with MHapps, yet there is a relative paucity of reviews on apps that support positive mental health and well-being.

OBJECTIVE

We aimed to systematically review the available research on MHapps that promote emotion regulation, positive mental health, and well-being in the general population aged 18-45 years. More specifically, the review aimed at providing a systematic description of the theoretical background and features of MHapps while evaluating any potential effectiveness.

METHODS

A comprehensive literature search of key databases, including MEDLINE (via Ovid), EMBASE (via Ovid), PsycINFO (via Ovid), Web of Science, and the Cochrane Register of Controlled Trials (CENTRAL), was performed until January 2021. Studies were included if they described standalone mental health and well-being apps for adults without a formal mental health diagnosis. The quality of all studies was assessed against the Mixed Methods Appraisal Tool. In addition, the Cochrane Risk-of-Bias tool (RoB-2) was used to assess randomized control trials (RCTs). Data were extracted using a modified extraction form from the Cochrane Handbook of Systematic Reviews. A narrative synthesis and meta-analysis were then undertaken to address the review aims.

RESULTS

In total, 3156 abstracts were identified. Of these, 52 publications describing 48 MHapps met the inclusion criteria. Together, the studies evaluated interventions across 15 countries. Thirty-nine RCTs were identified suggesting some support for the role of individual MHapps in improving and promoting mental health and well-being. Regarding the pooled effect, MHapps, when compared to controls, showed a small effect for reducing mental health symptoms (k=19, Hedges g=-0.24, 95% CI -0.34 to -0.14; P<.001) and improving well-being (k=13, g=0.17, 95% CI 0.05-0.29, P=.004), and a medium effect for emotion regulation (k=6, g=0.49, 95% CI 0.23-0.74, P<.001). There is also a wide knowledge base of creative and innovative ways to engage users in techniques such as mood monitoring and guided exercises. Studies were generally assessed to contribute unclear or a high risk of bias, or to be of medium to low methodological quality.

CONCLUSIONS

The emerging evidence for MHapps that promote positive mental health and well-being suggests promising outcomes. Despite a wide range of MHapps, few apps specifically promote emotion regulation. However, our findings may position emotion regulation as an important mechanism for inclusion in future MHapps. A fair proportion of the included studies were pilot or feasibility trials (k=17, 33%), and full-scale RCTs reported high attrition rates and nondiverse samples. Given the number and pace at which MHapps are being released, further robust research is warranted to inform the development and testing of evidence-based programs.

Acceptability, Engagement, and Exploratory Outcomes of an Emotional Well-being App: Mixed Methods Preliminary Evaluation and Descriptive Analysis

BACKGROUND

There is growing evidence suggesting that the emotional well-being of the public has been negatively affected in the past year. Consequently, demand for well-being support has increased. Although there is substantial empirical support for mental health apps that target diagnosed conditions, there is less research on emotional well-being apps. Among existing well-being apps, few studies have been conducted on apps that are based on lived experience and those that seek to enhance users' understanding of their emotional patterns. Thus, the acceptability of these novel apps requires further evaluation before upscaling.

OBJECTIVE

This evaluation aims to describe the acceptability, engagement, and preliminary outcomes of using an app (Paradym) designed to promote emotional well-being and positive mental health.

METHODS

This is a pre-post, mixed-methods, single-arm evaluation that is aggregated with digital analytics data. We anonymously collected real-world data on the demographics and well-being of the participants as well as the usability and acceptance of the app using validated questionnaires and open-ended questions. Participants tested the app for a minimum of 2 weeks before completing the follow-up measures. Google Analytics was used to record the level of app engagement. Chi-square and 2-tailed t tests were conducted to analyze quantitative data, and a thematic analysis approach was adopted for qualitative data.

RESULTS

A total of 115 participants completed baseline questionnaires, of which 79.1% (91/115) users downloaded the app. The sample was diverse in terms of ethnicity, including 43.4% (50/115) people who self-identified as belonging to minority ethnic groups. Most of the participants were female (78/115, 67.8%) and between the ages of 18 and 25 years (39/115, 33.9%). A total of 34 app users who completed questionnaires at baseline and follow-up provided valuable feedback to inform the future directions of Paradym. Favorable themes emerged describing the app's content, functionality, and underlying principles. Although usability feedback varied across items, a considerable number of participants (22/34, 64%) found that the app was easy to use. Google Analytics revealed that at least 79% (27/34) of people used the app daily. On the basis of preliminary observations, app users experience increased mental well-being. Post hoc analyses indicated that the reduction in depression scores (t₃₃=-2.16) and the increase in the well-being measures (t₃₃=2.87) were statistically significant. No adverse events were reported during the follow-up period.

CONCLUSIONS

The findings of this evaluation are encouraging and document positive preliminary evidence for the Paradym app.

Quality evaluation of stress, anxiety and depression apps for COVID-19

Background

COVID-19 has caused increased stress, anxiety and depression with increased barriers to treatment. Mobile apps offer a potential solution, but there is no information on the quality of such apps recommended for COVID-19. This study aims to evaluate the quality of stress, anxiety and depression apps recommended for COVID-19.

Methods

A search was conducted to identify relevant apps on the iOS and Android platforms. 44 apps were evaluated using the Mobile App Rating Scale (MARS), and the American Psychiatric Association's app evaluation model for data privacy and security.

Results

Overall quality scores of iOS and Android apps were 3.69 ± 0.43 and 3.66 ± 0.47. Thirty percent had good/excellent overall scores. In general, the iOS and Android versions of the apps scored best for functionality (4.21 ± 0.48, 4.12 ± 0.53), followed by aesthetics (3.84 ± 0.50, 3.78 ± 0.56), information (3.39 ± 0.54, 3.40 ± 0.60), and engagement (3.31 ± 0.81, 3.34 ± 0.84). Over half (59%) shared personal information with third parties and 14% were compliant with data protection standards.

Limitations

Only free apps available in Singapore were evaluated. Our results are time sensitive due to addition, removal, and update of apps in the app stores, thus our results should be extrapolated with caution to apps from other countries and paid apps.

Conclusion

Apps that addressed all three conditions had the highest overall quality scores. The top ranked apps (Sanvello, Woebot, Happify, Youper, Bloom) were of good quality, but majority were of acceptable quality and had room for improvement. App developers are encouraged to use our findings to improve and develop better quality apps.

Experiences with and Perception of a Web-Based Mindfulness, Nutrition, and Fitness Platform Reported by First-Year University Students: A Qualitative Study

BACKGROUND

My Viva Plan (MVP) (https://www.myvivainc.com/) is a web-based application developed by a dietitian that aims to support healthy living by providing resources and self-monitoring tools to help promote a healthy diet, healthy mind, and physical fitness. First-year university students have the potential to benefit because poor dietary choices, limited physical activity, and high stress are prevalent in this population. In addition, they are also active technology users.

OBJECTIVE

This study aims to understand experiences and perception of MVP by first-year university students using this tool as part of a 12-week randomized controlled trial.

DESIGN

One-on-one semistructured interviews were conducted following a 12-week intervention involving use of MVP.

PARTICIPANTS/SETTING

First-year university students from the University of Alberta, Edmonton, Canada (n = 32).

INTERVENTION

Participants were instructed to use MVP as much as possible for 12 weeks in either the fall/2018 or winter/2019 semesters.

QUALITATIVE DATA ANALYSIS

Interviews were audio-recorded, transcribed verbatim, and analyzed abductively using content analysis.

RESULTS

Participants reported varied use of MVP across the 12-week period. Data were categorized using the HealthChange Methodology (Behaviors, Emotions, 37 Situations, Thinking) framework. Participants provided various examples of emotions (eg, motivation, stress), situations (eg, time, living arrangements, finances), and thinking (eg, self-awareness, level of satisfaction with MVP, and how MVP was or could be better tailored for students) that acted as either facilitators or barriers to MVP use and explained their behaviors associated with this tool.

CONCLUSIONS

Overall, participant behaviors regarding MVP varied and were influenced by several factors, including their emotions, situations, and thinking. The Behaviors, Emotions, Situations, Thinking framework may be helpful for dietitians to identify barriers and facilitators affecting their client's use of ehealth tools for lifestyle behavior change. This information can be used to optimize client support when using these tools.

Perceptions of Mobile Health Apps and Features to Support Psychosocial Well-being Among Frontline Health Care Workers Involved in the COVID-19 Pandemic Response: Qualitative Study

BACKGROUND

Frontline health care workers are experiencing a myriad of physical and psychosocial challenges amid the COVID-19 pandemic. There is growing recognition that digital technologies have the potential to improve the well-being of frontline workers. However, there has been limited development of wellness interventions using mobile health (mHealth) technology. More importantly, little research has been conducted on how frontline workers perceive mHealth-based support to promote their well-being.

OBJECTIVE

This study aimed to explore frontline workers' experience of conventional psychological wellness programs and their perceptions of the usefulness of mHealth apps and features for promoting well-being. It also sought to identify factors that could potentially influence uptake and retention of an mHealth-based wellness program.

METHODS

We conducted semistructured interviews using purposive sampling with frontline workers involved in the COVID-19 response. Various visual materials, collated from existing mHealth app features, were presented to facilitate discussion. Interviews were audio-recorded and transcribed verbatim. Thematic analysis based on grounded theory was undertaken. Themes were subsequently mapped to key nudge strategies-those commonly used for mHealth development-to assess participants' preferences for particular features and their reasoning.

RESULTS

A total of 42 frontline workers participated in 12 one-on-one interviews or focus group discussions. Frontline workers generally had a limited ability to identify their own psychological problems and liked the reminders functionality of the app to track their mood over time. A personalized goal-setting feature (ie, tailoring) and in-app resources were generally valued, while frequent coaching and messages (ie, framing) were seen as a distraction. The majority of participants desired a built-in chat function with a counselor (ie, guidance) for reasons of accessibility and protection of privacy. Very few participants appreciated a gamification function. Frontline workers commonly reported the need for ongoing social support and desired access to an in-app peer support community (ie, social influence). There were, however, concerns regarding potential risks from virtual peer interactions. Intrinsic motivational factors, mHealth app technicality, and tangible rewards were identified as critical for uptake and retention.

CONCLUSIONS

Our study highlights the potential of mHealth apps with relevant features to be used as wellness tools by frontline health care workers. Future work should focus on developing a nonintrusive and personalized mHealth app with in-app counseling, peer support to improve well-being, and tangible and extrinsic rewards to foster continued use.

A systematic review and meta-analysis of psychological interventions to improve mental wellbeing

Our current understanding of the efficacy of psychological interventions in improving mental states of wellbeing is incomplete. This study aimed to overcome limitations of previous reviews by examining the efficacy of distinct types of psychological interventions, irrespective of their theoretical underpinning, and the impact of various moderators, in a unified systematic review and meta-analysis. Four-hundred-and-nineteen randomized controlled trials from clinical and non-clinical populations (n = 53,288) were identified for inclusion. Mindfulness-based and multi-component positive psychological interventions demonstrated the greatest efficacy in both clinical and non-clinical populations. Meta-analyses also found that singular positive psychological interventions, cognitive and behavioural therapy-based, acceptance and commitment therapy-based, and reminiscence interventions were impactful. Effect sizes were moderate at best, but differed according to target population and moderator, most notably intervention intensity. The evidence quality was generally low to moderate. While the evidence requires further advancement, the review provides insight into how psychological interventions can be designed to improve mental wellbeing.

The Integration of Meditation and Positive Psychology Practices to Relieve Stress in Women Workers (Flourish): Effects in Two Pilot Studies

Meditation and positive psychology have been reported as promising approaches to deal with stress. This exploratory pilot study aims to evaluate the efficacy of meditation and positive psychology-based intervention on stress. Two experiments are reported; in the first one, 29 healthcare professionals were included (intervention = 14; control = 15), and the second one included 57 women managers (intervention = 27; control = 30). All participants were evaluated before and after eight weeks for levels of stress, anxiety, depression, and psychiatric symptoms. In Experiment 1, intervention group participants showed a reduction in stress levels and anxiety symptoms, and in Experiment 2, participants in the intervention group showed a decrease in stress, psychiatric symptoms, and sleep quality, when compared to the control group. A multi-component intervention based on positive psychology and meditation practices was effective at reducing stress as well as improving related stress parameters such as anxiety, psychiatric symptoms, and sleep quality.

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

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

Connected Mental Health: Systematic Mapping Study

BACKGROUND

Although mental health issues constitute an increasing global burden affecting a large number of people, the mental health care industry is still facing several care delivery barriers such as stigma, education, and cost. Connected mental health (CMH), which refers to the use of information and communication technologies in mental health care, can assist in overcoming these barriers.

OBJECTIVE

The aim of this systematic mapping study is to provide an overview and a structured understanding of CMH literature available in the Scopus database.

METHODS

A total of 289 selected publications were analyzed based on 8 classification criteria: publication year, publication source, research type, contribution type, empirical type, mental health issues, targeted cohort groups, and countries where the empirically evaluated studies were conducted.

RESULTS

The results showed that there was an increasing interest in CMH publications; journals were the main publication channels of the selected papers; exploratory research was the dominant research type; advantages and challenges of the use of technology for mental health care were the most investigated subjects; most of the selected studies had not been evaluated empirically; depression and anxiety were the most addressed mental disorders; young people were the most targeted cohort groups in the selected publications; and Australia, followed by the United States, was the country where most empirically evaluated studies were conducted.

CONCLUSIONS

CMH is a promising research field to present novel approaches to assist in the management, treatment, and diagnosis of mental health issues that can help overcome existing mental health care delivery barriers. Future research should be shifted toward providing evidence-based studies to examine the effectiveness of CMH solutions and identify related issues.

An App for Classifying Personal Mental Illness at Workplace Using Fit Statistics and Convolutional Neural Networks: Survey-Based Quantitative Study

BACKGROUND

Mental illness (MI) is common among those who work in health care settings. Whether MI is related to employees' mental status at work is yet to be determined. An MI app is developed and proposed to help employees assess their mental status in the hope of detecting MI at an earlier stage.

OBJECTIVE

This study aims to build a model using convolutional neural networks (CNNs) and fit statistics based on 2 aspects of measures and outfit mean square errors for the automatic detection and classification of personal MI at the workplace using the emotional labor and mental health (ELMH) questionnaire, so as to equip the staff in assessing and understanding their own mental status with an app on their mobile device.

METHODS

We recruited 352 respiratory therapists (RTs) working in Taiwan medical centers and regional hospitals to fill out the 44-item ELMH questionnaire in March 2019. The exploratory factor analysis (EFA), Rasch analysis, and CNN were used as unsupervised and supervised learnings for (1) dividing RTs into 4 classes (ie, MI, false MI, health, and false health) and (2) building an ELMH predictive model to estimate 108 parameters of the CNN model. We calculated the prediction accuracy rate and created an app for classifying MI for RTs at the workplace as a web-based assessment.

RESULTS

We observed that (1) 8 domains in ELMH were retained by EFA, (2) 4 types of mental health (n=6, 63, 265, and 18 located in 4 quadrants) were classified using the Rasch analysis, (3) the 44-item model yields a higher accuracy rate (0.92), and (4) an MI app available for RTs predicting MI was successfully developed and demonstrated in this study.

CONCLUSIONS

The 44-item model with 108 parameters was estimated by using CNN to improve the accuracy of mental health for RTs. An MI app developed to help RTs self-detect work-related MI at an early stage should be made more available and viable in the future.

Betriebliche Gesundheitsförderung in der Pflege

Hintergrund

In der Pflegebranche nehmen Arbeitsunfähigkeitstage durch verschiedene Fehlbelastungen zu, welches die Relevanz der Betrieblichen Gesundheitsförderung (BGF) hervorhebt.

Ziel der Arbeit

Der Artikel soll die Thematik der BGF in der Pflege beleuchten und zudem eine Übersicht von bestehenden betrieblichen Gesundheitsförderungsmaßnahmen im Setting Pflege bieten.

Material und Methoden

In einer explorativen Literaturrecherche werden bisher verfügbare Erkenntnisse aus der BGF in der Pflege recherchiert und zusammengefasst. Aus diesen Forschungserkenntnissen werden Maßnahmenvorschläge für die Pflege-BGF abgeleitet. Die Vorschläge sollten aktualisiert werden, wenn derzeit laufende arbeitspsychologische Studien neue Erkenntnisse hervorgebracht haben.

Ergebnisse

Bestehende Interventionen in der Pflegebranche, welche beispielsweise Achtsamkeitstrainings, Maßnahmen zur Stress‑/Tabakkonsumreduzierung sowie die Förderung gesunder Ernährungsweise und körperlichen Aktivität beinhalten, werden dargestellt.

Diskussion

Studienergebnisse zeigen, dass Interventionen zur Stressreduzierung aus der stationären Pflege effektiv das Stresserleben der Pflegekräfte senken konnten. Web-basierte Interventionen scheinen darüber hinaus für das ambulante Pflegesetting als erstrebenswert. Mögliche Herausforderungen, wie fehlende Fachkenntnisse und -kräfte, für die BGF-Umsetzung werden diskutiert.