BACKGROUND: Work-life balance practices are associated with employee perceptions of the need for achievement and well-being which subsequently influence their intention to leave the organization. This study contributes new knowledge to nursing studies on work-life balance in an Asian and Islamic society where the expectations for women are to focus on family rather than career.
DESIGN: A cross-sectional, explanatory mixed methodology.
METHODS: This is a two-phase study conducted between 2015-2017 with 401 nurses in East Malaysia. In Phase 1, researchers surveyed 379 nurses to test eight hypotheses and in Phase 2 researchers interviewed 22 nurses to explore the results of Phase 1.
RESULTS: Phase 1 revealed job satisfaction mediates the relationship between work-life balance practices (e.g. flexibility and choice in working hours, supportive supervision), financial success, and intention to leave. However, life satisfaction and money as a motivator did not mediate such relationships. Phase 2 identified four important factors that cast light on survey results: working conditions of Malaysian nurses; inadequate compensation in the public healthcare sector; team-based practices; and pressure on senior nurses in both administrative and clinical roles.
CONCLUSION: This is one of the first studies to investigate work-life balance issues among nurses in Malaysia. Outcomes of this study extend the debates on work-life balance and employee well-being in an Asian Islamic social context.
IMPACT: The use of flexible working arrangements and collectivist teamwork approaches, improving compensation and employment benefits and eliminating the 'time-based job promotion' policy may help to mitigate work-life balance issues and intention to leave among nurses in Malaysia.
OBJECTIVE: This review aims to synthesize the current evidence on digital health interventions targeting adolescents and young people with mental health conditions, aged between 10-24 years, with a focus on effectiveness, cost-effectiveness, and generalizability to low-resource settings (eg, low- and middle-income countries).
METHODS: We searched MEDLINE, PubMed, PsycINFO, and Cochrane databases between January 2010 and June 2020 for systematic reviews and meta-analyses on digital mental health interventions targeting adolescents and young people aged between 10-24 years. Two authors independently screened the studies, extracted data, and assessed the quality of the reviews.
RESULTS: In this systematic overview, we included 18 systematic reviews and meta-analyses. We found evidence on the effectiveness of computerized cognitive behavioral therapy on anxiety and depression, whereas the effectiveness of other digital mental health interventions remains inconclusive. Interventions with an in-person element with a professional, peer, or parent were associated with greater effectiveness, adherence, and lower dropout than fully automatized or self-administered interventions. Despite the proposed utility of digital interventions for increasing accessibility of treatment across settings, no study has reported sample-specific metrics of social context (eg, socioeconomic background) or focused on low-resource settings.
CONCLUSIONS: Although digital interventions for mental health can be effective for both supplementing and supplanting traditional mental health treatment, only a small proportion of existing digital platforms are evidence based. Furthermore, their cost-effectiveness and effectiveness, including in low- and middle-income countries, have been understudied. Widespread adoption and scale-up of digital mental health interventions, especially in settings with limited resources for health, will require more rigorous and consistent demonstrations of effectiveness and cost-effectiveness vis-à-vis the type of service provided, target population, and the current standard of care.