PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 17, 2026BMJ Open0 citationsOpen Access

Building a data-driven evaluation framework of physician wellness initiatives: a rapid review

View Full Paper
IKIzzah KhairiSKSridevi KundurthiBLBrian Lo

Key Points

  • The aim is to fill the gap in comprehensive frameworks for evaluating initiatives aimed at physician burnout and wellness.
  • Conducted a rapid review using Cochrane methods.
  • Searched MEDLINE, Embase, and PsycInfo for relevant studies.
  • Included studies targeting physician wellness and burnout evaluations in healthcare settings.
  • Data was extracted independently to assess initiative types and evaluation approaches.
  • Thematic and quantitative analysis was performed on the extracted data.
  • 3786 references were identified, with 105 fitting inclusion criteria.
  • Wellness initiatives varied, with common delivery through surveys (95%) and focus groups (17%).
  • Evaluation indicators varied, focusing on impacts (94.3%), reactions (65.7%), and behavior changes (46.7%).
  • Key gaps included limited participant responses and certain indicators like physician turnover being overlooked.
  • A new evaluation framework was proposed focusing on implementation and impacts.

Abstract

Objectives While there exist many individual and organisation-level initiatives aimed at reducing physician burnout and promoting wellness, there are no comprehensive frameworks or guidelines for evaluating initiatives targeted at physicians. To address this gap, we conducted a rapid review to understand the current state of initiative evaluation in this field and develop an evaluation framework for initiatives aimed at physician burnout and wellness. Design A rapid review based on the Cochrane rapid review methods guidance. Data sources MEDLINE, Embase and PsycInfo were searched from database inception to 2 May 2024 for concepts related to physicians, wellness initiatives and burnout, and organisational efforts. Eligibility criteria We included studies with initiatives aimed at physician burnout, wellness or experience; targeted physicians, residents, fellows and/or physician faculty; were evaluated in some format; and took place within healthcare settings. Data extraction and synthesis Two independent reviewers extracted data according to a standard template. For each study, we noted information related to the type of wellness initiative, evaluation approach, components measured in evaluations (‘evaluation indicators’) and gaps in evaluation. The same reviewers analysed the data quantitatively and thematically. Findings were reported according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews. Results The database search yielded a total of 3786 references, of which 105 were included based on predefined inclusion and exclusion criteria. Various types of wellness initiatives (eg, mindfulness, peer support programmes, communities of practice) were delivered multimodally, or via curriculums and workshops, among other formats. Common evaluation approaches included surveys (95%, n=100/105) and interviews or focus groups (17%, n=18/105). Evaluation indicators spanned five categories: impacts (94.3%, n=99/105), participants’ reactions (65.7%, n=69/105), perspective and behaviour changes (46.7%, n=49/105), implementation (45.7%, n=48/105) and continuous improvement (6.7%, n=7/105). Evaluation gaps included limited responses from participants, failure to capture certain indicators (eg, physician turnover) and limited longitudinal measures. Conclusions Based on the findings and existing models, we developed a physician-focused evaluation framework, constituting two domains: implementation and impacts. This framework can enable organisations to better understand, assess and improve initiatives aimed at physician well-being, which can have positive impacts on patient care and the healthcare system.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Khairi et al. (2026) studied this question.

synapsesocial.com/papers/69e1cf1b5cdc762e9d857fbahttps://doi.org/10.1136/bmjopen-2025-106432
Ask AI
Helpful
Bookmark
Share
View Full Paper