PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 14, 2026Psychiatric Annals3 citations

Scaling Peer Support Programs to Drive Individual and Organizational Well-Being

View Full Paper
ACAngela ChaudhariSSSamantha M. SaggesePCPaul Connors

Key Points

  • The aim is to assess the structure and outcomes of peer support programs in health systems for clinician well-being.
  • Reviewed various peer support models in major health systems
  • Analyzed case studies on program outcomes and implementation
  • Discussed challenges and strategies for scaling peer support programs
  • Peer support reduces clinician burnout and turnover
  • Enhances psychological recovery among clinicians
  • Fosters transparency and collaboration across teams
  • Highlights challenges like measurement limitations of confidential models

Abstract

Peer support programs have emerged as essential interventions to address the psychological and occupational impacts clinicians experience after adverse events, including second victim syndrome, burnout, and moral injury. This review examines the evolution, structure, and outcomes of peer support models across major health systems, highlighting their influence on clinician well-being, organizational culture, and safety outcomes. Evidence demonstrates that peer support mitigates burnout, reduces turnover, and enhances psychological recovery, while fostering transparency and interdisciplinary collaboration. Program case studies illustrate scalable strategies and challenges such as measurement limitations inherent in confidential support models. As health care organizations increasingly recognize the financial and cultural value of supporting clinicians after adverse events, peer support programs represent a critical, cost-effective component of a comprehensive well-being and safety strategy.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Chaudhari et al. (2026) studied this question.

synapsesocial.com/papers/699010382ccff479cfe56b73https://doi.org/10.3928/00485713-20251212-02
Ask AI
Helpful
Bookmark
Share
View Full Paper