Evidence map›Paper›PMID 30370395›Full record

ArticleIISE transactions on healthcare systems engineering2018

Quantifying the Qualitative with Epistemic Network Analysis: A Human Factors Case Study of Task-Allocation Communication in a Primary Care Team.

Abigail R Wooldridge, Pascale Carayon, David Williamson Shaffer, Brendan Eagan

Abstract read
In one paragraph

Article in IISE transactions on healthcare systems engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
9.8field-weighted citation impact, top 2% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

  1. Pooled it
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  4. Observational
  5. Article
  6. Article
  7. Article
  8. Adoption of a Data-Driven Bayesian Belief Network Investigating Organizational Factors that Influence Patient Safety.Risk analysis : an official publication of the Society for Risk Analysis · 2022
    Article
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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

4 authors at 1 institution in 1 country.

Abigail R WooldridgeDepartment of Industrial and Systems Engineering and Center for Quality and Productivity Improvement, University of Wisconsin - Madison, Madison, Wisconsin, USA.ORCID 0000-0001-8914-1130
Pascale CarayonDepartment of Industrial and Systems Engineering and Center for Quality and Productivity Improvement, University of Wisconsin - Madison, Madison, Wisconsin, USA.ORCID 0000-0003-4632-6930
David Williamson ShafferWisconsin Center for Education Research, University of Wisconsin - Madison, Madison, Wisconsin, USA.ORCID 0000-0001-9613-5740
Brendan EaganWisconsin Center for Education Research, University of Wisconsin - Madison, Madison, Wisconsin, USA.
University of Wisconsin–Madison · US

Funding

Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
NCATS NIH HHS UL1 TR000427
6 · The paper itself

Abstract

Health care is fundamentally about people, and therefore, engineering approaches for studying healthcare systems must consider the perspective, concepts and methods offered by the human factors and ergonomics (HFE) discipline. HFE analysis is often qualitative to provide in-depth description of work systems and processes. To deepen our understanding of care processes, we propose the next level of analysis, i.e. quantification of qualitative data. Here, we describe epistemic network analysis (ENA) as a novel method to quantify qualitative data and present a case study applying ENA to assess communication in a primary care team. One high-performing primary care team consisting of a physician, nurse, medical assistant and unit clerk was observed for 15 hours. We analyzed task-allocation communications and identified the sender, receiver, synchronicity and acceptance. We used logistic regression and ENA to evaluate sender, receiver and synchronicity impact on task acceptance. The physician and unit clerk were most successful allocating tasks. Future work should consider the role of synchronous, interruptive communication as potentially useful in time-critical tasks and further investigate the role of the unit clerk. HFE researchers should consider ENA as a tool to expand and deepen their understanding of care processes by quantifying qualitative data.

Indexed as

communicationhuman factorsmixed methods researchnetwork analysisprimary carequalitative researchteams

Identifiers

PMID30370395
PMCPMC6201247
OpenAlexW2782846081

What OpenQuestion holds

Textmetadata
LicenceTDM
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.