Evidence map›Paper›PMID 30038491›Full record

Observational studyClinical interventions in aging2018

A novel pain assessment tool incorporating automated facial analysis: interrater reliability in advanced dementia.

Mustafa Atee, Kreshnik Hoti, Richard Parsons, Jeffery D Hughes

2 registry-linked trialsAbstract readObservational Study
In one paragraph

Observational study in Clinical interventions in aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 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.

NCT06049732 completednot on this mapstarted 2023, after this paper: background citation

Psychometric Evaluation of the Electronic Pain Assessment Tool PainChek® Adult in Nursing Homes in the United States

TypeobservationalSponsorPainChek LtdRan2023 to 2024Enrolled105ConditionsDementia, PainArmsPainChek®
NCT07136207 recruitingnot on this mapstarted 2025, after this paper: background citation

Research on Delirium Recognition in Neurocritical Patients Based on Facial Expression Behavior Patterns

TypeobservationalSponsorBeijing Tiantan HospitalRan2025 to 2026Enrolled1,000ConditionsDelirium, Artificial Intelligence (AI)
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  11. Pain in the Context of Virtual Neuropsychological Assessment of Older Adults.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2024
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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.

Mustafa AteeSchool of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin University, Bentley, WA, Australia, mustafa.atee@curtin.edu.au.
Kreshnik HotiSchool of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin University, Bentley, WA, Australia, mustafa.atee@curtin.edu.au.
Richard ParsonsSchool of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin University, Bentley, WA, Australia, mustafa.atee@curtin.edu.au.
Jeffery D HughesSchool of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin University, Bentley, WA, Australia, mustafa.atee@curtin.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesRegardless of its severity, dementia does not negate the experience of pain. Rather, dementia hinders self-reporting mechanisms in affected individuals because they lose the ability to do so. The primary aim of this study was to examine the interrater reliability of the electronic Pain Assessment Tool (ePAT) among raters when assessing pain in residents with moderate-to-severe dementia. Secondly, it sought to examine the relationship between total instrument scores and facial scores, as determined by automated facial expression analysis. STUDY

designA 2-week observational study.

settingAn accredited, high-care, and dementia-specific residential aged care facility in Perth, Western Australia.

participantsSubjects were 10 residents (age range: 63.1-84.4 years old) predominantly with severe dementia (Dementia Severity Rating Scale score: 46.3±8.4) rated for pain by 11 aged care staff. Raters (female: 82%; mean age: 44.1±12.6 years) consisted of one clinical nurse, four registered nurses, five enrolled nurses, and one care worker. MEASUREMENTS: ePAT measured pain using automated detection of facial action codes and recordings of pain behaviors.

resultsA total of 76 assessments (rest =38 [n=19 pairs], movement =38 [n=19 pairs]) were conducted. At rest, raters' agreement was excellent on overall total scores (coefficient of concordance =0.92 [95% CI: 0.85-0.96]) and broad category scores (κ=1.0). Agreement was moderate (κ=0.59) on categorical scores upon movement, while it was exact in 68.4% of the cases. Agreement in actual pain category scores gave κ

conclusionsePAT, which combines automated facial expression analysis and clinical behavioral indicators in a single observational pain assessment tool, demonstrates good reliability properties, which supports its appropriateness for use in residents with advanced dementia.

Indexed as

Facial ExpressionAgedAged, 80 and overDementiaFemaleHomes for the AgedHumansMaleMiddle AgedMovementNursing HomesObserver VariationPainPain MeasurementReproducibility of ResultsRestautomated facial expression analysisdementiaePATfacial action unitsinterrater reliabilitypainpain assessmentPainChek®total pain scores

Identifiers

PMID30038491
PMCPMC6052926

What OpenQuestion holds

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Registered trials

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.