Targeting Anxiety to Improve Sleep Disturbance: A Randomized Clinical Trial of App-Based Mindfulness Training

Digital Mindfulness Training for Burnout Reduction in Physicians: Clinician-Driven Approach

BACKGROUND

Physician burnout is widespread in health care systems, with harmful consequences on physicians, patients, and health care organizations. Mindfulness training (MT) has proven effective in reducing burnout; however, its time-consuming requirements often pose challenges for physicians who are already struggling with their busy schedules.

OBJECTIVE

This study aimed to design a short and pragmatic digital MT program with input from clinicians specifically to address burnout and to test its efficacy in physicians.

METHODS

Two separate nonrandomized pilot studies were conducted. In the first study, 27 physicians received the digital MT in a podcast format, while in the second study, 29 physicians and nurse practitioners accessed the same training through a free app-based platform. The main outcome measure was cynicism, one dimension of burnout. The secondary outcome measures were emotional exhaustion (the second dimension of burnout), anxiety, depression, intolerance of uncertainty, empathy (personal distress, perspective taking, and empathic concern subscales), self-compassion, and mindfulness (nonreactivity and nonjudgment subscales). In the second study, worry, sleep disturbances, and difficulties in emotion regulation were also measured. Changes in outcomes were assessed using self-report questionnaires administered before and after the treatment and 1 month later as follow-up.

RESULTS

Both studies showed that MT decreased cynicism (posttreatment: 33% reduction; P≤.04; r≥0.41 and follow-up: 33% reduction; P≤.04; r≥0.45), while improvements in emotional exhaustion were observed solely in the first study (25% reduction, P=.02, r=.50 at posttreatment; 25% reduction, P=.008, r=.62 at follow-up). There were also significant reductions in anxiety (P≤.01, r≥0.49 at posttreatment; P≤.01, r≥0.54 at follow-up), intolerance of uncertainty (P≤.03, r≥.57 at posttreatment; P<.001, r≥0.66 at follow-up), and personal distress (P=.03, r=0.43 at posttreatment; P=.03, r=0.46 at follow-up), while increases in self-compassion (P≤.02, r≥0.50 at posttreatment; P≤.006, r≥0.59 at follow-up) and mindfulness (nonreactivity: P≤.001, r≥0.69 at posttreatment; P≤.004, r≥0.58 at follow-up; nonjudgment: P≤.009, r≥0.50 at posttreatment; P≤.03, r≥0.60 at follow-up). In addition, the second study reported significant decreases in worry (P=.04, r=0.40 at posttreatment; P=.006, r=0.58 at follow-up), sleep disturbances (P=.04, r=0.42 at posttreatment; P=.01, r=0.53 at follow-up), and difficulties in emotion regulation (P=.005, r=0.54 at posttreatment; P<.001, r=0.70 at follow-up). However, no changes were observed over time for depression or perspective taking and empathic concern. Finally, both studies revealed significant positive correlations between burnout and anxiety (cynicism: r≥0.38; P≤.04; emotional exhaustion: r≥0.58; P≤.001).

CONCLUSIONS

To our knowledge, this research is the first where clinicians were involved in designing an intervention targeting burnout. These findings suggest that this digital MT serves as a viable and effective tool for alleviating burnout and anxiety among physicians.

TRIAL REGISTRATION

ClinicalTrials.gov NCT06145425; https://clinicaltrials.gov/study/NCT06145425.

Systematic review and meta-analysis of adverse events in clinical trials of mental health apps

Mental health apps are efficacious, yet they may pose risks in some. This review (CRD42024506486) examined adverse events (AEs) from mental health apps. We searched (May 2024) the Medline, PsycINFO, Web of Science, and ProQuest databases to identify clinical trials of mental health apps. The risk of bias was assessed using the Cochrane Risk of Bias tool. Only 55 of 171 identified clinical trials reported AEs. AEs were more likely to be reported in trials sampling schizophrenia and delivering apps with symptom monitoring technology. The meta-analytic deterioration rate from 13 app conditions was 6.7% (95% CI = 4.3, 10.1, I2 = 75%). Deterioration rates did not differ between app and control groups (OR = 0.79, 95% CI = 0.62-1.01, I2 = 0%). Reporting of AEs was heterogeneous, in terms of assessments used, events recorded, and detail provided. Overall, few clinical trials of mental health apps report AEs. Those that do often provide insufficient information to properly judge risks related to app use.

The effectiveness of smartphone app-based interventions for insomnia and sleep disturbances: A meta-analysis of randomized controlled trials

There is growing enthusiasm towards the role of smartphone app-based interventions in the management of insomnia and related sleep problems. A considerable number of apps designed to address insomnia have been developed in recent years, and randomized controlled trials (RCTs) have begun to explore their efficacy. We conducted a meta-analysis investigating the effectiveness of apps for insomnia and sleep disturbances. From 19 RCTs, we identified significant pooled effect sizes for the primary outcomes of self-reported insomnia (g = 0.60; 05 % CI = 0.44, 0.76; NNT = 4.8) and sleep disturbances (g = 0.70; 95 % CI = 0.58, 0.83; NNT = 4.1) in favour of apps over control conditions. These effects remained robust when restricting the analyses to trials that delivered a placebo control, received a lower risk of bias rating, and had a larger sample size. Significant pooled effects in favour of apps were also observed for secondary outcomes of night time awakenings (g = 0.56), total sleep time (g = 0.33), and sleep onset latency (g = 0.32), but non-significant effects emerged for daytime sleepiness, dysfunctional beliefs about sleep, sleep efficiency, sleep hygiene, and wake after sleep onset. The pooled dropout rate from app conditions was 13.1 % (95 % CI = 8.3, 20.0), which was significantly higher than control conditions (OR = 1.78, 95 % CI = 1.39, 2.28). Findings suggest that stand-alone app-based interventions can effectively address insomnia and sleep disturbances, and may play an important role in the management of these symptoms.

The impact of mindfulness apps on psychological processes of change: a systematic review

Mindfulness-based interventions (MBIs) have demonstrated therapeutic efficacy for various psychological conditions, and smartphone apps that facilitate mindfulness practice can enhance the reach and impact of MBIs. The goal of this review was to summarize the published evidence on the impact of mindfulness apps on the psychological processes known to mediate transdiagnostic symptom reduction after mindfulness practice. A literature search from January 1, 1993, to August 7, 2023 was conducted on three databases, and 28 randomized controlled trials involving 5963 adults were included. Across these 28 studies, 67 outcome comparisons were made between a mindfulness app group and a control group. Between-group effects tended to favor the mindfulness app group over the control group in three psychological process domains: repetitive negative thinking, attention regulation, and decentering/defusion. Findings were mixed in other domains (i.e., awareness, nonreactivity, non-judgment, positive affect, and acceptance). The range of populations examined, methodological concerns across studies, and problems with sustained app engagement likely contributed to mixed findings. However, effect sizes tended to be moderate to large when effects were found, and gains tended to persist at follow-up assessments two to six months later. More research is needed to better understand the impact of these apps on psychological processes of change. Clinicians interested in integrating apps into care should consider app-related factors beyond evidence of a clinical foundation and use app databases to identify suitable apps for their patients, as highlighted at the end of this review.

Additive effects of adjunctive app-based interventions for mental disorders - A systematic review and meta-analysis of randomised controlled trials

Background

It is uncertain whether app-based interventions add value to existing mental health care.

Objective

To examine the incremental effects of app-based interventions when used as adjunct to mental health interventions.

Methods

We searched PubMed, PsycINFO, Scopus, Web of Science, and Cochrane Library databases on September 15th, 2023, for randomised controlled trials (RCTs) on mental health interventions with an adjunct app-based intervention compared to the same intervention-only arm for adults with mental disorders or respective clinically relevant symptomatology. We conducted meta-analyses on symptoms of different mental disorders at postintervention. PROSPERO, CRD42018098545.

Results

We identified 46 RCTs (4869 participants). Thirty-two adjunctive app-based interventions passively or actively monitored symptoms and behaviour, and in 13 interventions, the monitored data were sent to a therapist. We found additive effects on symptoms of depression (g = 0.17; 95 % CI 0.02 to 0.33; k = 7 comparisons), anxiety (g = 0.80; 95 % CI 0.06 to 1.54; k = 3), mania (g = 0.2; 95 % CI 0.02 to 0.38; k = 4), smoking cessation (g = 0.43; 95 % CI 0.29 to 0.58; k = 10), and alcohol use (g = 0.23; 95 % CI 0.08 to 0.39; k = 7). No significant effects were found on symptoms of depression within a bipolar disorder (g = -0.07; 95 % CI -0.37 to 0.23, k = 4) and eating disorders (g = -0.02; 95 % CI -0.44 to 0.4, k = 3). Studies on depression, mania, smoking, and alcohol use had a low heterogeneity between the trials. For other mental disorders, only single studies were identified. Only ten studies had a low risk of bias, and 25 studies reported insufficient statistical power.

Discussion

App-based interventions may be used to enhance mental health interventions to further reduce symptoms of depression, anxiety, mania, smoking, and alcohol use. However, the effects were small, except for anxiety, and limited due to study quality. Further high-quality research with larger sample sizes is warranted to better understand how app-based interventions can be most effectively combined with established interventions to improve outcomes.

The efficacy of mindfulness apps on symptoms of depression and anxiety: An updated meta-analysis of randomized controlled trials

Mindfulness apps have become popular tools for addressing symptoms of depression and anxiety. Since the publication of earlier meta-analyses evaluating the efficacy of mindfulness apps for depression and anxiety symptoms, over 20 randomized controlled trials (RCTs) have been conducted. There is a need for an updated meta-analysis that quantifies the effects of mindfulness apps on these symptoms and tests for potential moderators.. Random effects meta-analyses were conducted on 45 RCTs. Small, significant effect sizes were found for symptoms of depression (Ncomp = 46, N = 5852, g = 0.24, 95% CI = 0.17, 0.31, NNT = 13.57) and anxiety (Ncomp = 48, N = 6082, g = 0.28, 95% CI = 0.21, 0.35, NNT = 11.47) in favour of mindfulness apps over control groups. This effect was not explained by symptom deterioration in participants allocated to control groups. Effects remained stable when restricting analyses to lower risk of bias and larger sample trials. No significant moderators were observed, except trials that offered monetary compensation produced larger effects on depression. Non-significant effects were observed when comparing mindfulness apps to active therapeutic comparisons (g = -0.15 depression, g = 0.10 anxiety), though the number of studies was low. Growing evidence indicates that mindfulness apps can acutely reduce symptoms of depression and anxiety, although higher quality studies with longer follow-ups are needed.

Rates of attrition and engagement in randomized controlled trials of mindfulness apps: Systematic review and meta-analysis

Randomized controlled trials (RCT) have established the efficacy of mindfulness apps for numerous mental health and behavioral outcomes. However, studies of this kind are characterized by significant problems with attrition and engagement, making it challenging to interpret these findings and realize the full potential of mindfulness app-based solutions. This systematic review and meta-analysis aimed to examine rates of attrition from, and engagement in, mindfulness apps in 70 RCTs located through four databases. The weighted meta-analytic attrition rate from 9258 participants allocated to a mindfulness app was 24.7%. This estimate was higher (38.7%) when restricting analyses to larger studies (n ≥ 100 per condition) and for specific target samples (e.g., general population of adults). Studies that offered participants monetary compensation and required in-person enrolment methods were associated with the lowest attrition rates. Attrition was higher in mindfulness app conditions relative to waitlists, but was not different to placebo or active apps. Although engagement data were inadequately reported, qualitative synthesis highlighted clear problems with sustained user engagement with mindfulness apps. Findings have implications for powering, designing and appraising research trials of mindfulness apps, as well as the development of potentially effective retention and engagement strategies worthy of evaluation in future work.

Selecting and describing control conditions in mobile health randomized controlled trials: a proposed typology

Hundreds of randomized controlled trials (RCTs) have tested the efficacy of mobile health (mHealth) tools for a wide range of mental and behavioral health outcomes. These RCTs have used a variety of control condition types which dramatically influence the scientific inferences that can be drawn from a given study. Unfortunately, nomenclature across mHealth RCTs is inconsistent and meta-analyses commonly combine control conditions that differ in potentially important ways. We propose a typology of control condition types in mHealth RCTs. We define 11 control condition types, discuss key dimensions on which they differ, provide a decision tree for selecting and identifying types, and describe the scientific inferences each comparison allows. We propose a five-tier comparison strength gradation along with four simplified categorization schemes. Lastly, we discuss unresolved definitional, ethical, and meta-analytic issues related to the categorization of control conditions in mHealth RCTs.

Adherence to CPAP Treatment: Can Mindfulness Play a Role?

Obstructive sleep apnea (OSA) is considered a chronic disease that requires long-term multidisciplinary management for effective treatment. Continuous Positive Airway Pressure (CPAP) is still considered the gold standard of therapy. However, CPAP effectiveness is limited due to poor patients' adherence, as almost 50% of patients discontinue treatment after a year. Several interventions have been used in order to increase CPAP adherence. Mindfulness-based therapies have been applied in other sleep disorders such as insomnia but little evidence exists for their application on OSA patients. This review aims to focus on the current data on whether mindfulness interventions may be used in order to increase CPAP adherence and improve the sleep quality of OSA patients. Even though controlled trials of mindfulness and CPAP compliance remain to be performed, this review supports the hypothesis that mindfulness may be used as an adjunct method in order to increase CPAP adherence in OSA patients.

A randomized controlled trial of a 14-day mindfulness ecological momentary intervention (MEMI) for generalized anxiety disorder

BACKGROUND

Little is known about whether brief mindfulness ecological momentary interventions (MEMIs) yield clinically beneficial effects. This gap exists despite the rapid growth of smartphone mindfulness applications. Specifically, no prior brief MEMI has targeted generalized anxiety disorder (GAD). Moreover, although theories propose that MEMIs can boost executive functioning (EF), they have largely gone untested. Thus, this randomized controlled trial (RCT) aimed to address these gaps by assessing the efficacy of a 14-day smartphone MEMI (versus self-monitoring placebo [SMP]).

METHOD

Participants with GAD were randomly assigned to either condition (68 MEMI and 42 SMP). MEMI participants exercised multiple core mindfulness strategies and were instructed to practice mindfulness continually. Comparatively, SMP participants were prompted to practice self-monitoring and were not taught any mindfulness strategies. All prompts occurred five times a day for 14 consecutive days. Participants completed self-reports and neuropsychological assessments at baseline, posttreatment, and 1-month follow-up (1MFU). Piecewise hierarchical linear modeling analyses were conducted.

RESULTS

MEMI (versus SMP) produced greater pre-1MFU reductions in GAD severity and perseverative cognitions (between-group d = 0.393-0.394) and stronger improvements in trait mindfulness and performance-based inhibition (d = 0.280-0.303). Further, MEMI (versus SMP) led to more considerable pre- to posttreatment reduction in state-level depression and anxiety and more mindfulness gains (d = 0.50-1.13). Overall, between-treatment effects were stronger at pre-1MFU than pre- to posttreatment for trait-level than state-level treatment outcome measures.

CONCLUSIONS

Preliminary findings suggest that the beneficial effect of an unguided brief MEMI to target pathological worry, trait mindfulness, and EF is modest yet potentially meaningful. Other theoretical and clinical implications were discussed.