English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Review question / Objective: To compare and rank the clinical effects of Non-Pharmacological Therapies for Psychological State of Medical Staff in the Post-epidemic Eradifferent. Eligibility criteria: The published randomized controlled trials (RCT) of non-Pharmacological Therapies for Psychological State of Medical Staff in the Post-epidemic Era, regardless of age and gender. Patients had clear diagnostic criteria to be diagnosed. Interventions in the treatment group included were various types of non-pharmacological therapies, including various types of acupuncture therapies (such as simple acupuncture, electroacupuncture, warm acupuncture, acupuncture catgut embedding, Auricular therapy, or the combination of acupuncture and other Non-Pharmacological Therapies), meditation, Baduanjin, Tai Chi, aerobic exercise, yoga, psychotherapy, music therapy, etc.; the control group was conventional treatment groups or different non-pharmacological therapies compared with each other. The results of the report are required to include at least one of the following outcome indicators: The self-Rating Anxiety Scale (SAS), the Self-Rating Depression Scale (SDS), the Pittsburgh sleep quality index (PSQI), and effectiveness rate. The language of the publication is limited to Chinese or English.

The Effects of Non-Pharmacological Therapies for Psychological State of Medical Staff in the Post-epidemic Era: A Protocol Network Meta-Analysis