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Nursing well-being has become a heightened focus since the COVID-19 pandemic. Nurses are leaving the profession early in their careers or retiring sooner than expected. Those who remain in the workforce report higher levels of burnout, anxiety, depression, and exhaustion. There is concern that there may be a shortage of at least half a million nurses by 2030.
This systematic review aimed to investigate the evidence of using a mental health promotion mHealth app to improve the mental health of hospital nurses.
A systematic search was conducted in CINAHL Plus with Full Text, MEDLINE with Full Text, Professional Development Collection, Psychology and Behavioral Sciences Collection, Sociological Collection, PsycInfo, Embase, and PubMed with search dates of January 2012–November 15, 2022. The mHealth intervention needed to be asynchronously delivered through a smartphone with hospital nurse participants to be included in this review.
Of the 157 articles screened for this review, six were included. Primary outcome variables were anxiety, burnout, coping, depression, self-efficacy, stress, well-being, and work engagement. Intervention types included mindfulness-based interventions (MBIs), cognitive behavioral therapy (CBT), stress inoculation therapy (SIT), psychoeducation, and stress management. Anxiety, depression, well-being, and burnout improved with MBIs; depression improved with CBT; and anxiety and active coping improved with SIT.
This review demonstrated promising findings in using mHealth apps to improve the mental health of hospital nurses. However, more randomized controlled trials with larger sample sizes may reveal which type of mHealth app and how much exposure to the intervention is more effective in improving specific mental health symptoms. Longitudinal follow-up is also recommended to study sustainability of the mental health improvements.
Mental health outcomes in nurses have historically indicated a greater prevalence of anxiety, depression, and suicide than the general population. It is vital to provide programming for healthcare workers to gain the necessary skills to reduce burnout and improve their mental and physical health.
The aims of this study were to evaluate mental health outcomes and healthy lifestyle beliefs and behaviors among nurses and other hospital employees who completed MINDBODYSTRONG, a cognitive-behavioral skill building program.
A pre-experimental, pre- and poststudy design was used to examine mental health and well-being outcomes among 100 hospital personnel who participated in MINDBODYSTRONG, a program designed to improve coping and resiliency and decrease stress, anxiety, and depressive symptoms. Outcomes measured included healthy lifestyle behaviors, healthy lifestyle beliefs, anxiety, depression, stress, and burnout.
One hundred hospital personnel, including 93 nurses, completed the pre- and post-survey. Among all participants, post- MINDBODYSTRONG scores for healthy lifestyle beliefs (p = .00; Cohen's d = 0.52) and healthy lifestyle behaviors (p = .00; Cohen's d = −0.74) increased significantly with medium effects, while depression (p = .00; Cohen's d = −0.51), anxiety (p = .00; Cohen's d = −0.54), stress (p = .00; Cohen's d = −0.33), and burnout (p = .00; Cohen's d = −0.37) decreased significantly with small and medium effects. The program produced even stronger positive effects on mental health outcomes for participants who started the study with higher levels of depression and anxiety.
Anxiety, depression, stress, and burnout decreased significantly postintervention. Participants also significantly improved their healthy lifestyle beliefs and behaviors with the MINDBODYSTRONG program. MINDBODYSTRONG is an effective program that reduces anxiety, depression, burnout, and stress and improves healthy lifestyle beliefs and behaviors in hospital-based clinicians. It is of utmost importance to provide evidence-based programs to improve mental resiliency and decrease stress, anxiety, burnout, and depressive symptoms, which will ultimately improve the safety and quality of health care.
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