Efficacy and Feasibility of the Minimal Therapist-Guided Four-Week Online Audio-Based Mindfulness Program 'Mindful Senses' for Burnout and Stress Reduction in Medical Personnel: A Randomized Controlled Trial

Compassion fatigue, compassion satisfaction and mindfulness among healthcare professionals: A meta-analysis of correlational studies and randomized controlled trials

BACKGROUND

Compassion fatigue is a pressing concern for healthcare professionals, impacting their well-being and the quality of service they deliver to service users. Mindfulness has emerged as a potential strategy to mitigate compassion fatigue among healthcare professionals. This meta-analysis aims to investigate the correlation between mindfulness and compassion fatigue/compassion satisfaction and the effect of mindfulness-based interventions (MBI) on compassion fatigue/compassion satisfaction.

METHOD

7568 papers were identified through a systematic search in ProQuest, Web of Science, PsycINFO, Embase, and MEDLINE. 78 correlational studies and 29 randomized controlled trials were screened-in for analysis. Study quality and data were coded for analysis.

RESULTS

Significant moderate negative correlation between mindfulness and compassion fatigue was found. Significant moderate positive correlation was also observed between mindfulness and compassion satisfaction. Older healthcare professionals and professionals working in non-acute settings were found to have stronger correlations between mindfulness and compassion satisfaction. From randomized controlled trial studies of MBI, moderate effect size was found for compassion fatigue, and small effect size was found for compassion satisfaction. Effects were found to be similar across settings.

CONCLUSIONS

This meta-analysis is the first synthesis of the relationship between compassion fatigue and compassion satisfaction with mindfulness, as well as the effectiveness of mindfulness-based interventions on these two variables among healthcare professionals. Future studies could consider investigating mediators of mindfulness-based interventions to understand possible mechanisms.

AI-Assisted Tailored Intervention for Nurse Burnout: A Three-Group Randomized Controlled Trial

BACKGROUND

High-stress environments, heavy workloads, and the emotional demands of patient care, which are common challenges faced by nurses, are factors that can lead to burnout. Shift work can make traditional burnout interventions costly and difficult to implement. Artificial intelligence (AI) could offer solutions that are less constrained by time, resources, and labor.

AIM

To investigate the effectiveness of an AI-assisted intervention in reducing nurse burnout.

METHODS

A single-blind, three-group, randomized controlled trial of 120 nurses (40 per group) was conducted from June 2023 to July 2023. The AI-assisted tailored intervention included two 2-week programs, delivering one of four programs to the intervention group: mindfulness meditation, acceptance commitment therapy, storytelling and reflective writing, or laughter therapy. The experimental group received tailored programs based on demographic and work-related characteristics, job stress, stress response, coping strategy, and burnout dimensions (client-related, personal, and work-related). Control Group 1 self-selected their programs, while Control Group 2 was provided with online information on burnout reduction. Primary outcomes, client-related, personal, and work-related burnout, were measured at baseline, week 2, and week 4. Secondary outcomes, job stress, stress responses, and coping strategies, were assessed at baseline and week 4. Data were analyzed using ANOVA, repeated measures ANOVA, and the Scheffé test for post hoc analysis.

RESULTS

The experimental group showed significant reductions in client-related burnout (F = 7.725, p = 0.001) and personal burnout (F = 10.967, p < 0.0001) compared to the other groups. Significant effects of time and time × group interactions were observed for client-related and personal burnout, with time effects noted for work-related burnout. Stress response reduction was highest in Control Group 1, followed by the experimental group and Control Group 2 (F = 3.07, p = 0.017).

LINKING EVIDENCE TO ACTION

AI algorithms could provide tailored programs to mitigate nurse burnout, particularly in client-related and personal burnout. Reducing nurse burnout could contribute to the quality of care.

TRIAL REGISTRATION

This trial is registered with the Clinical Research Information Service (KCT0008546).

Efficacy of an online gatekeeper program for relatives of men at risk of suicide - a randomized controlled trial

BACKGROUND

Men at risk for suicide are a challenging population group to reach with suicide prevention strategies. Gatekeepers hold a pivotal role in the prevention of male suicide, yet effective intervention requires them to have a level of knowledge and strategies to provide support.

AIM

This study aimed to examine the efficacy of an online gatekeeper program for gatekeepers in male suicide prevention, assessing knowledge, perceived preparedness, self-efficacy, and psychopathological symptoms of gatekeepers.

METHODS

Eighty-four participants were randomized to either the intervention (n = 43) or the waitlist control group (n = 41). The intervention comprised four modules providing knowledge and strategies for addressing men in suicidal crises. Outcomes included depression (PHQ-9), distress (PSS-10), burden (BAS), involvement (IEQ), as well as gatekeeper outcomes and knowledge.

RESULTS

Completer analyses revealed significant improvement of depressive symptoms (d = 0.39) and an increase in gatekeeper outcomes (d = 0.58 to d = 0.84) and knowledge (d = 0.62) from baseline to post-assessment. The effects were maintained for 3 months. No significant effects could be found for burden, distress, and involvement.

CONCLUSIONS

The findings indicate that a brief gatekeeper program can serve as a valuable resource. Future research should focus on examining the mental health of gatekeepers themselves and its long-term effects on intervention behavior.

TRIAL REGISTRATION

German Clinical Trials Register, DRKS00030758, registered on 05.12.2022.

Potential strategies for supporting mental health and mitigating the risk of burnout among healthcare professionals: insights from the COVID-19 pandemic

Healthcare professionals (HCPs) experienced prolonged stressful conditions during the coronavirus disease 2019 pandemic, and the global situation (particularly in the United Kingdom) meant that they continue to sustain mental stress related to the subsequent cost-of-living and healthcare budgeting crises. The psychological toll on HCPs may lead to increased staff attrition, adversely impacting the quality of patient care and work security. To help mitigate this psychological impact, the current evidence is strongly supportive of healthcare providers consistently adopting programmes fostering improvement in coping and resilience, facilitating healthy lifestyle, and allocating some resources for therapeutic strategies (e.g. cognitive behavioural therapy-based strategies and other strategies specified to trauma-related issues) which can be delivered by trained professionals. We stress that some approaches are not a one-size-fits-all strategy, and we also highlight the need to encourage treatment-seeking among those who need it. These strategies are highly relevant to healthcare employers and policymakers to support all HCPs in settings marked by prolonged periods of stress. The investment in these strategies are expected not only to reduce staff attrition in the long-term, but are likely to add to the cost-effectiveness of overall healthcare budgetary allocation.

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.

Is organizational intervention using Layered Voice Analysis effective in addressing operator mental health in call centers? A randomized controlled trial

OBJECTIVES

To verify the effects of organizational interventions on mental health using Layered Voice Analysis (LVA).

METHODS

A 12-week single-blind randomized controlled trial was conducted with call center operators. Sixty-six participants were randomly assigned to either a control group (n = 26), an LVA intervention group (n = 20), or a one-on-one intervention group (n = 20). The control group received general self-care information about preventing mental health problems from the Ministry of Health, Labour, and Welfare, Japan website. The organizational LVA intervention involved group sessions using participants' voice calls with customers, whereas the one-on-one intervention consisted of meetings or consultations with participants and their supervisors to discuss preventing mental health issues at work. To verify the effectiveness of the intervention program, the Center for Epidemiologic Studies Depression Scale (CES-D) was administered 4 times (baseline, 4, 8, and 12 weeks) as the primary outcome, and the data were analyzed using a linear mixed model. The intervention of LVA was subdivided and analyzed into LVA ≥5 times and LVA ≤4 times out of the total 6 interventions.

RESULTS

Compared with the control group, a significant CES-D reduction effect was observed at 8/12 weeks for the difference of coefficients (DOC; [βint - βctrl]) for the intervention of LVA ≥5 times (DOC -1.86 and -2.36, respectively). Similarly, even intervention LVA ≤4 times also showed a significant decrease of CES-D scores at 8/12 weeks (DOC -2.20 and -2.38, respectively).

CONCLUSIONS

An organizational intervention using LVA has the potential to reduce the risk of depression among call center operators.