Evidence map›Paper›PMID 26424762›Full record

ReviewBMJ quality & safety2016

Observation for assessment of clinician performance: a narrative review.

Arianna F Yanes, Lisa M McElroy, Zachary A Abecassis, Jane Holl, Donna Woods, Daniela P Ladner

Abstract readReview
In one paragraph

Review in BMJ quality & safety, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Observational
  6. Review
  7. An Analysis of Gender Bias in Plastic Surgery Resident Assessment.Journal of graduate medical education · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. What can surgery learn from other high-performance disciplines?Annals of medicine and surgery (2012) · 2020
    Article
  15. Resilience in the Surgical Scheduling to Support Adaptive Scheduling System.International journal of environmental research and public health · 2020
    Article
  16. Observational
  17. Development of a Program to Support VA Community Living Centers' Quality Improvement.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2019
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Arianna F YanesTransplant Outcomes Research Collaborative, Northwestern University, Chicago, Illinois, USA.
Lisa M McElroyTransplant Outcomes Research Collaborative, Northwestern University, Chicago, Illinois, USA Center for Healthcare Studies, Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Zachary A AbecassisTransplant Outcomes Research Collaborative, Northwestern University, Chicago, Illinois, USA.
Jane HollCenter for Healthcare Studies, Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Donna WoodsCenter for Healthcare Studies, Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Daniela P LadnerTransplant Outcomes Research Collaborative, Northwestern University, Chicago, Illinois, USA Center for Healthcare Studies, Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.

Funding

Transplant Surgery Scientist Training ProgramT32DK077662 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Richard M Green, Daniela P Ladner · 2007 to 2026
$3.8M
AHRQ HHS 5T32HS78-15NIDDK NIH HHS T32 DK077662NIDDK NIH HHS T32DK77662-7
6 · The paper itself

Abstract

backgroundVideo recorded and in-person observations are methods of quality assessment and monitoring that have been employed in high risk industries. In the medical field, observations have been used to evaluate the quality and safety of various clinical processes. This review summarises studies utilising video recorded or in-person observations for assessing clinician performance in medicine and surgery.

methodsA search of MEDLINE (PubMed) was conducted using a combination of medical subject headings (MeSH) terms. Articles were included if they described the use of in-person or video recorded observations to assess clinician practices in three categories: (1) teamwork and communication between clinicians; (2) errors and weaknesses in practice; and (3) compliance and adherence to interventions or guidelines.

resultsThe initial search criteria returned 3215 studies, 223 of which were identified for full text review. A total of 69 studies were included in the final set of literature. Observations were most commonly used in data dense and high risk environments, such as the emergency department or operating room. The most common use was for assessing teamwork and communication factors.

conclusionsObservations are useful for the improvement of healthcare delivery through the identification of clinician lapses and weaknesses that affect quality and safety. Limitations of observations include the Hawthorne effect and the necessity of trained observers to capture and analyse the notes or videos. The comprehensive, subtle and sensitive information observations provided can supplement traditional quality assessment methods and inform targeted interventions to improve patient safety and the quality of care.

Indexed as

Hospital AdministrationTask Performance and AnalysisClinical CompetenceCommunicationGroup ProcessesGuideline AdherenceHumansObservational Studies as TopicPatient Care TeamPractice Guidelines as TopicQuality of Health CareVideo RecordingHuman factorsPatient safetyPerformance measuresQualitative researchQuality measurement

Identifiers

PMID26424762
PMCPMC13011875

What OpenQuestion holds

Textmetadata
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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.