Evidence map›Paper›PMID 33019777›Full record

ArticleInternational journal of environmental research and public health2020

Using a Multi-Level Process Comparison for Process Change Analysis in Cancer Pathways.

Angelina Prima Kurniati, Ciarán McInerney, Kieran Zucker, Geoff Hall, David Hogg, Owen Johnson

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Angelina Prima KurniatiSchool of Computing, University of Leeds, Leeds LS2 9JT, UK.ORCID 0000-0002-4747-1067
Ciarán McInerneySchool of Computing, University of Leeds, Leeds LS2 9JT, UK.ORCID 0000-0001-7620-7110
Kieran ZuckerSchool of Medicine, University of Leeds, Leeds Teaching Hospitals Trust, Leeds LS1 3EX, UK.ORCID 0000-0003-4385-3153
Geoff HallSchool of Medicine, University of Leeds, Leeds Teaching Hospitals Trust, Leeds LS1 3EX, UK.
David HoggSchool of Computing, University of Leeds, Leeds LS2 9JT, UK.ORCID 0000-0002-6125-9564
Owen JohnsonSchool of Computing, University of Leeds, Leeds LS2 9JT, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The area of process change over time is a particular concern in healthcare, where patterns of care emerge and evolve in response to individual patient needs. We propose a structured approach to analyse process change over time that is suitable for the complex domain of healthcare. Our approach applies a qualitative process comparison at three levels of abstraction: a holistic perspective (process model), a middle-level perspective (trace), and a fine-grained detail (activity). Our aim was to detect change points, localise and characterise the change, and unravel/understand the process evolution. We illustrate the approach using a case study of cancer pathways in Leeds where we found evidence of change points identified at multiple levels. In this paper, we extend our study by analysing the miners used in process discovery and providing a deeper analysis of the activity of investigation in trace and activity levels. In the experiment, we show that this qualitative approach provides a useful understanding of process change over time. Examining change at three levels provides confirmatory evidence of process change where perspectives agree, while contradictory evidence can lead to focused discussions with domain experts. This approach should be of interest to others dealing with processes that undergo complex change over time.

Indexed as

MinersNeoplasmsDelivery of Health CareHumanscancer pathwaysconcept driftmulti-level process comparisonprocess changeprocess mining

Identifiers

PMID33019777
PMCPMC7579033

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Registered trials

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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.