Evidence map›Paper›PMID 33094240›Full record

ArticleFuture healthcare journal2020

Measuring the working experience of doctors in training.

Peter Hockey, Rhema Vaithianathan, Agnes Baeker, Freddy Beer, Amanda H Goodall, Matt Hammerton, Rosalind Jarvis, Susannah Brock, Larissa Lorimer

Abstract read
In one paragraph

Article in Future healthcare journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Peter HockeyUniversity of Sydney, Sydney, Australia and Western Sydney Local Health District, Sydney, Australia.
Rhema VaithianathanCentre for Social Data Analytics, Auckland University of Technology, New Zealand and Institute of Social Science Research, University of Queensland, Australia.
Agnes BaekerUniversity of Zurich, Zurich, Switzerland.
Freddy BeerHealth Education England (Wessex), Otterbourne, UK.
Amanda H GoodallCass Business School University of London, London, UK.
Matt HammertonHealth Education England (Wessex), Otterbourne, UK.
Rosalind JarvisHealth Education England (Wessex), Otterbourne, UK.
Susannah BrockPoole Hospital NHS Foundation Trust, Poole, UK.
Larissa LorimerAuckland University of Technology, Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using an online tool, we report the association between tasks and 'affect' (underlying experience of feeling, emotion or mood) among 565 doctors in training, how positive and negative emotional intensity are associated with time of day, the extent to which positive affect is associated with breaks, and consideration about leaving the profession. Respondents spent approximately 25% of their day on paperwork or clinical work that did not involve patients, resulting in more negative emotions. Positive emotions were expressed for breaks, staff meetings, research, learning and clinical tasks that involved patients. Those having considered leaving the profession report more negative feelings. Systematic workplace changes (regular breaks, reducing paperwork and improved IT systems) could contribute to positive workday experiences and reduce intention to quit. Educators and employers have important roles in recognising, advocating for and implementing improvements at work to enhance wellbeing with potential to improve retention of doctors in training.

Indexed as

breaksemotionsWellbeing

Identifiers

PMID33094240
PMCPMC7571728

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.