The kindness COVID-19 toolkit: a mixed-methods evaluation of a programme designed by doctors in training for doctors in training

BMJ Open. 2022 Nov 22;12(11):e060575. doi: 10.1136/bmjopen-2021-060575.

Abstract

Objectives: The impact of a coronavirus disease (COVID-19)-specific professional development programme on the well-being of obstetrics and gynaecology (O&G) doctors in training (DiT) working during the pandemic.

Design: A mixed-method evaluation of a single group pre-post test design study.

Setting: Melbourne, Australia between September 2020 and April 2021.

Participants: 55 O&G DiT working across four healthcare sites of a major tertiary hospital in Victoria, Australia, were included in the programme.

Interventions: The delivery of a codesigned peer-to-peer programme, which identified and addressed the well-being goals of O&G DiT. Seven interactive workshops were run alongside the implementation of a number of participant-led wellness initiatives.

Main outcome measures: Repeated-measures analysis of WHO Well-being Index (WHO-5) and Copenhagen Burnout Innovatory (CBI) scores across three time points during the programme. Multilevel generalised linear mixed-effects models with random intercept were fit to the data, both in the entire population (intention-to-treat) and restricted to those who attended the workshop ('per-protocol' analysis). Participatory experiences and programme learning were captured using the Most Significant Change (MSC) technique, which included inductive thematic analysis.

Results: We demonstrated an overall 31.9% improvement in well-being scores (p=0.006). The MSC evaluation captured a shift in workplace culture as a result of the programme, with improvement across the domains of connection, caring, communication, confidence and cooperation.

Conclusions: We have successfully used a mixed-method approach to contextualise a productive programme to improve the well-being of COVID-19 front-line healthcare workers.

Keywords: COVID-19; obstetrics; qualitative research.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • COVID-19* / epidemiology
  • Female
  • Humans
  • Medicine*
  • Pandemics
  • Physicians*
  • Pregnancy
  • Victoria