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The effectiveness of e-mental health interventions on stress, anxiety, and depression among healthcare professionals: a systematic review and meta-analysis.
Zhang, Zemiao; Hu, Yinhuan; Liu, Sha; Feng, Xiandong; Yang, Jinhong; Cheng, Ling Jie; Ramazanu, Sheena; Wu, Xi Vivien.
Afiliação
  • Zhang Z; School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Hu Y; School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. hyh288@hotmail.com.
  • Liu S; School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Feng X; School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Yang J; Xiangya School of Nursing, Central South University, Changsha, China.
  • Cheng LJ; School of Nursing and Midwifery, Queen's University Belfast, Belfast, UK.
  • Ramazanu S; Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
  • Wu XV; School of Nursing and Health Studies, The Jockey Club Institute of Healthcare (IOH), Hong Kong Metropolitan University, Hong Kong, China.
Syst Rev ; 13(1): 144, 2024 May 30.
Article em En | MEDLINE | ID: mdl-38816879
ABSTRACT

BACKGROUND:

Many healthcare professionals are experiencing psychological distress. Electronic mental health (e-mental health) interventions are convenient and multifunctional. This review aimed to examine the effectiveness of e-mental health interventions in enhancing the well-being of healthcare professionals and to identify moderating factors.

METHODS:

A comprehensive and systematic retrieval of randomized controlled trial (RCT) studies was conducted across eight databases. Population, intervention, comparison, and outcome (PICO) were used to define eligibility criteria. Stress, anxiety, and depression were included as the main outcomes. The overall effect was calculated based on the random effect model, and the effect size was presented using the standardized mean difference. The characteristics of the research design, intervention object, and intervention design were further selected as potential moderating factors for subgroup analysis. Meta-regression analyses were finally performed, incorporating intervention duration and sample size as independent variables.

RESULTS:

A total of 20 studies were included in the systematic review, and 17 were included in the meta-analysis. A large effect on relieving stress and anxiety and a small-to-medium effect on reducing depression were observed. Subgroup analyses showed that features including mindfulness approaches, online courses, computer use, group interventions, and professional guidance were more favorable in the design of services. Meta-regression revealed that intervention duration only affected anxiety symptoms. Caution should be exercised, as some subgroups had fewer studies and higher heterogeneity. For the secondary outcomes, a large effect on emotional exhaustion and a small-to-medium effect on well-being were observed.

CONCLUSION:

In general, e-mental health interventions significantly improve the psychological health of healthcare staff. Future high-quality, large-scale studies targeting healthcare professionals and specific intervention scenarios are warranted.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Ansiedade / Estresse Psicológico / Pessoal de Saúde / Depressão Limite: Humans Idioma: En Revista: Syst Rev Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Ansiedade / Estresse Psicológico / Pessoal de Saúde / Depressão Limite: Humans Idioma: En Revista: Syst Rev Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China