Effects of eHealth interventions on stress reduction and mental health promotion in healthcare professionals: A systematic review

Assessing the Effectiveness of STAPP@Work, a Self-Management Mobile App, in Reducing Work Stress and Preventing Burnout: Single-Case Experimental Design Study

BACKGROUND

Work-related stress and burnout remain common problems among employees, leading to impaired health and higher absenteeism. The use of mobile health apps to promote well-being has grown substantially; however, the impact of such apps on reducing stress and preventing burnout is limited.

OBJECTIVE

This study aims to assess the effectiveness of STAPP@Work, a mobile-based stress management intervention, on perceived stress, coping self-efficacy, and the level of burnout among mental health employees.

METHODS

The study used a single-case experimental design to examine the use of STAPP@Work among mental health employees without a known diagnosis of burnout (N=63). Participants used the app for 1 week per month repeatedly for a period of 6 months. Using a reversal design, the participants used the app 6 times to assess replicated immediate (1 week after use) and lasting (3 weeks after use) effects. The Perceived Stress Scale, the Coping Self-Efficacy Scale, and the Burnout Assessment Tool were used to measure the outcomes. Linear mixed models were used to analyze the data.

RESULTS

After 6 months of app use for 1 week per month, the participants showed a statistically significant decrease in perceived stress (b=-0.38, 95% CI -0.67 to -0.09; P=.01; Cohen d=0.50) and burnout symptoms (b=-0.31, 95% CI -0.51 to -0.12; P=.002; Cohen d=0.63) as well as a statistically significant improvement in problem-focused coping self-efficacy (b=0.42, 95% CI 0-0.85; P=.049; Cohen d=0.42). Long-term use of the app provided consistent reductions in burnout symptoms over time, including in the level of exhaustion and emotional impairment.

CONCLUSIONS

The use of an app-based stress management intervention has been shown to reduce burnout symptoms and enhance coping self-efficacy among mental health workers. Prevention of burnout and minimization of work-related stress are of utmost importance to protect employee health and reduce absenteeism.

The effect of mindfulness-based interventions on mental health outcomes and wellbeing of informal caregivers of people with mental illness: A systematic review and meta-analysis

The increasing prevalence of mental illness has resulted in a growing burden on informal caregivers. Mindfulness-based interventions, as a form of psychotherapy, have shown efficacy in alleviating psychological stress and enhancing emotional and physical well-being. However, the utilisation of mindfulness-based interventions for informal caregivers of individuals with mental illness remains limited. The aim of the meta-analysis is to evaluate the impact of mindfulness-based interventions on the mental health and well-being among informal caregivers of people with mental illness. A comprehensive literature search was conducted across seven electronic databases (PubMed, Scopus, Web of Science, Cochrane Library, Embase, APA PsycINFO and CINAHL Ultimate) from the inception of these databases until 20 July 2023. Two authors independently screened the studies and extracted the relevant data. The meta-analysis was performed by using Stata 12.0 software, and the effect sizes were calculated utilising standardised mean difference (SMD) along with their corresponding 95% confidence intervals (CI). The meta-analysis included 13 studies with 1007 participants, and the results demonstrated that mindfulness-based interventions were efficacious in reducing stress (SMD = -0.80, 95% CI [-1.33, -0.28], p = 0.003), depression (SMD = -0.43, 95% CI [-0.62, -0.24], p < 0.001) and caregiver burden (SMD = -0.21, 95% CI [-0.40, -0.01], p = 0.038), and enhancing the mindfulness level (SMD = 0.37, 95% CI [0.09, 0.65], P = 0.010) and quality of life (SMD = 0.22, 95% CI [0.04, 0.39], p = 0.015) among informal caregivers of people with mental illness, but not on anxiety reduction (SMD = -0.19, 95% CI [-0.49, 0.10], p = 0.198). Furthermore, future research should aim to employ more rigorous methodologies to confirm the effectiveness.

Predictors of the Use of a Mental Health-Focused eHealth System in Patients With Breast and Prostate Cancer: Bayesian Structural Equation Modeling Analysis of a Prospective Study

BACKGROUND

eHealth systems have been increasingly used to manage depressive symptoms in patients with somatic illnesses. However, understanding the factors that drive their use, particularly among patients with breast and prostate cancer, remains a critical area of research.

OBJECTIVE

This study aimed to determine the factors influencing use of the NEVERMIND eHealth system among patients with breast and prostate cancer over 12 weeks, with a focus on the Technology Acceptance Model.

METHODS

Data from the NEVERMIND trial, which included 129 patients with breast and prostate cancer, were retrieved. At baseline, participants completed questionnaires detailing demographic data and measuring depressive and stress symptoms using the Beck Depression Inventory-II and the Depression, Anxiety, and Stress Scale-21, respectively. Over a 12-week period, patients engaged with the NEVERMIND system, with follow-up questionnaires administered at 4 weeks and after 12 weeks assessing the system's perceived ease of use and usefulness. Use log data were collected at the 2- and 12-week marks. The relationships among sex, education, baseline depressive and stress symptoms, perceived ease of use, perceived usefulness (PU), and system use at various stages were examined using Bayesian structural equation modeling in a path analysis, a technique that differs from traditional frequentist methods.

RESULTS

The path analysis was conducted among 100 patients with breast and prostate cancer, with 66% (n=66) being female and 81% (n=81) having a college education. Patients reported good mental health scores, with low levels of depression and stress at baseline. System use was approximately 6 days in the initial 2 weeks and 45 days over the 12-week study period. The results revealed that PU was the strongest predictor of system use at 12 weeks (βuse at 12 weeks is predicted by PU at 12 weeks=.384), whereas system use at 2 weeks moderately predicted system use at 12 weeks (βuse at 12 weeks is predicted by use at 2 weeks=.239). Notably, there were uncertain associations between baseline variables (education, sex, and mental health symptoms) and system use at 2 weeks, indicating a need for better predictors for early system use.

CONCLUSIONS

This study underscores the importance of PU and early engagement in patient engagement with eHealth systems such as NEVERMIND. This suggests that, in general eHealth implementations, caregivers should educate patients about the benefits and functionalities of such systems, thus enhancing their understanding of potential health impacts. Concentrating resources on promoting early engagement is also essential given its influence on sustained use. Further research is necessary to clarify the remaining uncertainties, enabling us to refine our strategies and maximize the benefits of eHealth systems in health care settings.

Work-related psychosocial challenges and coping strategies among nursing workforce during the COVID-19 pandemic: a scoping review

BACKGROUND

Nurses and midwives have been stretched by the COVID-19 pandemic amidst the heroic roles they have played during the peak of the COVID-19 pandemic. Nurses stood tall among their peers in the healthcare industry saving lives. The pandemic has had a toll on nurses physically, psychologically, and socio-economically. The numerous deaths have traumatized nurses coupled with the fear of possible infection. Nurses have seen their colleagues and loved ones lose their lives to the pandemic, nevertheless, they still render care to patients no matter the circumstances. Due to that, it is imperative to ascertain the extent to which nurses who are much needed in healthcare delivery have been affected by this pandemic. This scoping review used Arksey and O'Malley's review methodology to investigate the nature of work-related psychosocial challenges nurses encountered during the peak of the pandemic, noting the major contributors to the challenges and the coping strategies used to address them.

METHODS

We performed a scoping review and searched for articles from five databases including PUBMED, CINAHL, SCOPUS, Google Scholar, and Grey literature from December 2019 to December 2021. A total of 7,334 articles were retrieved for the study but 45 met the inclusion criteria.

RESULTS

Work-related psychosocial challenges identified included stress, burnout (emotional exhaustion and depersonalization), Post-Traumatic Stress Disorder, depression, sleeplessness, and anxiety. Factors that accounted for the challenges were inadequate personal protective equipment (PPEs), discomfort using the PPEs, extreme workload, and fatigue. Nurses experienced job insecurity, business closure, and separation from family and loved ones, and these contributed to their challenges. Strategies used to deal with the challenges centred on emotion-focused and problem-focused coping.

CONCLUSIONS

The study recommends regular counselling and support for all nurses working at the frontline to help them better cope with the devastating effects of the pandemic so that they could build resilience towards future pandemics.