Cargando…

Clinimetric properties of the electronic Pain Assessment Tool (ePAT) for aged-care residents with moderate to severe dementia

PURPOSE: Accurate pain assessment is critical to detect pain and facilitate effective pain management in dementia patients. The electronic Pain Assessment Tool (ePAT) is a point-of-care solution that uses automated facial analysis in conjunction with other clinical indicators to evaluate the presenc...

Descripción completa

Detalles Bibliográficos
Autores principales: Hoti, Kreshnik, Atee, Mustafa, Hughes, Jeffery D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5989701/
https://www.ncbi.nlm.nih.gov/pubmed/29910632
http://dx.doi.org/10.2147/JPR.S158793
_version_ 1783329508599791616
author Hoti, Kreshnik
Atee, Mustafa
Hughes, Jeffery D
author_facet Hoti, Kreshnik
Atee, Mustafa
Hughes, Jeffery D
author_sort Hoti, Kreshnik
collection PubMed
description PURPOSE: Accurate pain assessment is critical to detect pain and facilitate effective pain management in dementia patients. The electronic Pain Assessment Tool (ePAT) is a point-of-care solution that uses automated facial analysis in conjunction with other clinical indicators to evaluate the presence and intensity of pain in patients with dementia. This study aimed to examine clini-metric properties (clinical utility and predictive validity) of the ePAT in this population group. METHODS: Data were extracted from a prospective validation (observational) study of the ePAT in dementia patients who were ≥65 years of age, living in a facility for ≥3 months, and had Psychogeriatric Assessment Scales – cognitive scores ≥10. The study was conducted in two residential aged-care facilities in Perth, Western Australia, where residents were sampled using purposive convenience strategy. Predictive validity was measured using accuracy statistics (sensitivity, specificity, positive predictive value, and negative predictive value). Positive and negative clinical utility index (CUI) scores were calculated using Mitchell’s formula. Calculations were based on comparison with the Abbey Pain Scale, which was used as a criterion reference. RESULTS: A total of 400 paired pain assessments for 34 residents (mean age 85.5±6.3 years, range 68.0–93.2 years) with moderate–severe dementia (Psychogeriatric Assessment Scales – cognitive score 11–21) were included in the analysis. Of those, 303 episodes were classified as pain by the ePAT based on a cutoff score of 7. Unadjusted prevalence findings were sensitivity 96.1% (95% CI 93.9%–98.3%), specificity 91.4% (95% CI 85.7%–97.1%), accuracy 95.0% (95% CI 92.9%–97.1%), positive predictive value 97.4% (95% CI 95.6%–99.2%), negative predictive value 87.6% (95% CI 81.1%–94.2%), CUI(+) 0.936 (95% CI 0.911–0.960), CUI(−) 0.801 (95% CI 0.748–0.854). CONCLUSION: The clinimetric properties demonstrated were excellent, thus supporting the clinical usefulness of the ePAT when identifying pain in patients with moderate–severe dementia.
format Online
Article
Text
id pubmed-5989701
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Dove Medical Press
record_format MEDLINE/PubMed
spelling pubmed-59897012018-06-15 Clinimetric properties of the electronic Pain Assessment Tool (ePAT) for aged-care residents with moderate to severe dementia Hoti, Kreshnik Atee, Mustafa Hughes, Jeffery D J Pain Res Original Research PURPOSE: Accurate pain assessment is critical to detect pain and facilitate effective pain management in dementia patients. The electronic Pain Assessment Tool (ePAT) is a point-of-care solution that uses automated facial analysis in conjunction with other clinical indicators to evaluate the presence and intensity of pain in patients with dementia. This study aimed to examine clini-metric properties (clinical utility and predictive validity) of the ePAT in this population group. METHODS: Data were extracted from a prospective validation (observational) study of the ePAT in dementia patients who were ≥65 years of age, living in a facility for ≥3 months, and had Psychogeriatric Assessment Scales – cognitive scores ≥10. The study was conducted in two residential aged-care facilities in Perth, Western Australia, where residents were sampled using purposive convenience strategy. Predictive validity was measured using accuracy statistics (sensitivity, specificity, positive predictive value, and negative predictive value). Positive and negative clinical utility index (CUI) scores were calculated using Mitchell’s formula. Calculations were based on comparison with the Abbey Pain Scale, which was used as a criterion reference. RESULTS: A total of 400 paired pain assessments for 34 residents (mean age 85.5±6.3 years, range 68.0–93.2 years) with moderate–severe dementia (Psychogeriatric Assessment Scales – cognitive score 11–21) were included in the analysis. Of those, 303 episodes were classified as pain by the ePAT based on a cutoff score of 7. Unadjusted prevalence findings were sensitivity 96.1% (95% CI 93.9%–98.3%), specificity 91.4% (95% CI 85.7%–97.1%), accuracy 95.0% (95% CI 92.9%–97.1%), positive predictive value 97.4% (95% CI 95.6%–99.2%), negative predictive value 87.6% (95% CI 81.1%–94.2%), CUI(+) 0.936 (95% CI 0.911–0.960), CUI(−) 0.801 (95% CI 0.748–0.854). CONCLUSION: The clinimetric properties demonstrated were excellent, thus supporting the clinical usefulness of the ePAT when identifying pain in patients with moderate–severe dementia. Dove Medical Press 2018-06-01 /pmc/articles/PMC5989701/ /pubmed/29910632 http://dx.doi.org/10.2147/JPR.S158793 Text en © 2018 Hoti et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Hoti, Kreshnik
Atee, Mustafa
Hughes, Jeffery D
Clinimetric properties of the electronic Pain Assessment Tool (ePAT) for aged-care residents with moderate to severe dementia
title Clinimetric properties of the electronic Pain Assessment Tool (ePAT) for aged-care residents with moderate to severe dementia
title_full Clinimetric properties of the electronic Pain Assessment Tool (ePAT) for aged-care residents with moderate to severe dementia
title_fullStr Clinimetric properties of the electronic Pain Assessment Tool (ePAT) for aged-care residents with moderate to severe dementia
title_full_unstemmed Clinimetric properties of the electronic Pain Assessment Tool (ePAT) for aged-care residents with moderate to severe dementia
title_short Clinimetric properties of the electronic Pain Assessment Tool (ePAT) for aged-care residents with moderate to severe dementia
title_sort clinimetric properties of the electronic pain assessment tool (epat) for aged-care residents with moderate to severe dementia
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5989701/
https://www.ncbi.nlm.nih.gov/pubmed/29910632
http://dx.doi.org/10.2147/JPR.S158793
work_keys_str_mv AT hotikreshnik clinimetricpropertiesoftheelectronicpainassessmenttoolepatforagedcareresidentswithmoderatetoseveredementia
AT ateemustafa clinimetricpropertiesoftheelectronicpainassessmenttoolepatforagedcareresidentswithmoderatetoseveredementia
AT hughesjefferyd clinimetricpropertiesoftheelectronicpainassessmenttoolepatforagedcareresidentswithmoderatetoseveredementia