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How Appropriate Is the Patient Assessment of Chronic Illness Care (Pacic) as a Measure of Patient Experience Among Individuals with Chronic Pain? a Rasch Based Analysis.

Record Type:	Electronic resources : Monograph/item
Title/Author:	How Appropriate Is the Patient Assessment of Chronic Illness Care (Pacic) as a Measure of Patient Experience Among Individuals with Chronic Pain? a Rasch Based Analysis./
Author:	Modi, Maitri.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
Description:	77 p.
Notes:	Source: Masters Abstracts International, Volume: 83-03.
Contained By:	Masters Abstracts International83-03.
Subject:	Health care access. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28731109
ISBN:	9798544223672

How Appropriate Is the Patient Assessment of Chronic Illness Care (Pacic) as a Measure of Patient Experience Among Individuals with Chronic Pain? a Rasch Based Analysis.
Modi, Maitri.

How Appropriate Is the Patient Assessment of Chronic Illness Care (Pacic) as a Measure of Patient Experience Among Individuals with Chronic Pain? a Rasch Based Analysis. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 77 p.

Source: Masters Abstracts International, Volume: 83-03.

Thesis (M.S.)--McGill University (Canada), 2021.

This item must not be sold to any third party vendors.

Background: Measuring patient-centred care is an essential element of health services performance assessment and quality improvement. The Patient Assessment of Chronic Illness Care (PACIC) questionnaire is one of the most widely used measures to evaluate patient-centred care in clinical practice and research. However, the PACIC was not validated in the chronic pain population, and there have been conflicting findings regarding its psychometric properties for other chronic conditions. We aimed to evaluate the psychometric properties of the PACIC among individuals with chronic pain. This study's objective was to assess the extent to which the PACIC items measure a single construct and fit an underlying theoretical hierarchy that forms a linear continuum with interval-like properties in patients with chronic pain.Methods: Available cross-sectional PACIC data were used from an adult study sample with low back pain (LBP; N=270) to assess unidimensionality, local independence, item fit, person fit, item hierarchy, scale targeting and precision ,person reliability.Results: The initial analysis demonstrated the PACIC data did not fit the Rasch model. Accordingly, modifications were made, including rescoring items and removing items and persons with poor fit. The final model contained 12 items that had a satisfactory fit to the Rasch model. Support for unidimensionality was demonstrated through principal component analysis and confidence intervals.Conclusion: The present study has shown that the 12 items PACIC version, as applied to the chronic pain population, satisfies Rasch model expectations and the unidimensionality assumptions, having accommodated local dependency issues. Further testing of these 12 items is needed to generate further evidence for the content validity of the 12 item PACIC in a LBP population.

ISBN: 9798544223672Subjects--Topical Terms:

3541397
Health care access.

How Appropriate Is the Patient Assessment of Chronic Illness Care (Pacic) as a Measure of Patient Experience Among Individuals with Chronic Pain? a Rasch Based Analysis.
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245 1 0 $a How Appropriate Is the Patient Assessment of Chronic Illness Care (Pacic) as a Measure of Patient Experience Among Individuals with Chronic Pain? a Rasch Based Analysis.
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500 $a Source: Masters Abstracts International, Volume: 83-03.
500 $a Advisor: Ahmed, Sara.
502 $a Thesis (M.S.)--McGill University (Canada), 2021.
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520 $a Background: Measuring patient-centred care is an essential element of health services performance assessment and quality improvement. The Patient Assessment of Chronic Illness Care (PACIC) questionnaire is one of the most widely used measures to evaluate patient-centred care in clinical practice and research. However, the PACIC was not validated in the chronic pain population, and there have been conflicting findings regarding its psychometric properties for other chronic conditions. We aimed to evaluate the psychometric properties of the PACIC among individuals with chronic pain. This study's objective was to assess the extent to which the PACIC items measure a single construct and fit an underlying theoretical hierarchy that forms a linear continuum with interval-like properties in patients with chronic pain.Methods: Available cross-sectional PACIC data were used from an adult study sample with low back pain (LBP; N=270) to assess unidimensionality, local independence, item fit, person fit, item hierarchy, scale targeting and precision ,person reliability.Results: The initial analysis demonstrated the PACIC data did not fit the Rasch model. Accordingly, modifications were made, including rescoring items and removing items and persons with poor fit. The final model contained 12 items that had a satisfactory fit to the Rasch model. Support for unidimensionality was demonstrated through principal component analysis and confidence intervals.Conclusion: The present study has shown that the 12 items PACIC version, as applied to the chronic pain population, satisfies Rasch model expectations and the unidimensionality assumptions, having accommodated local dependency issues. Further testing of these 12 items is needed to generate further evidence for the content validity of the 12 item PACIC in a LBP population.
520 $a Contexte: La mesure des soins centres sur le patient dans les services de sante est un element essentiel de l'evaluation du rendement et de l'amelioration des services lors de l'etablissement de rapports sur la qualite des soins et de la definition de la politique de sante. Le questionnaire d'evaluation des soins aux patients atteints de maladies chroniques (PACIC) est l'une des meilleures mesures pour evaluer les soins axes sur le patient dans la pratique clinique et la recherche. Cependant, le PACIC n'a pas ete valide dans la population de la douleur chronique, et il y a eu des resultats contradictoires concernant ses proprietes psychometriques pour d'autres conditions chroniques. Nous visions a evaluer les proprietes psychometriques de la PACIC chez les personnes souffrant de douleur chronique. L'objectif de cette etude etait d'evaluer dans quelle mesure les items du PACIC mesurent un seul construit et correspondent a une hierarchie theorique sous-jacente qui forme un continuum lineaire avec des proprietes de type intervalle chez les patients souffrant de douleur chronique.Methodes: Les donnees transversales disponibles de la PACIC ont ete utilisees a partir d'echantillons d'adultes souffrant de lombalgie (N = 270) pour evaluer l'unidimensionnalite, l'independance locale, l'ajustement de l'item, l'ajustement de la personne, la hierarchie des items, le ciblage et la precision de l'echelle (fiabilite et separation des personnes).Resultats: L'analyse initiale a demontre que les donnees ne correspondaient pas au modele de Rasch. En consequence, des modifications ont ete apportees, notamment la reevaluation des elements et le retrait des elements et des personnes mal ajustees. Le modele final contenait 12 elements qui avaient un ajustement satisfaisant au modele Rasch. La prise en charge de l'unidimensionnalite a ete demontree par l'analyse en composantes principales et les intervalles de confiance. Conclusion: La presente etude a montre que la version PACIC a 12 items, telle qu'appliquee a la population de douleur chronique, satisfait les attentes du modele de Rasch et les hypotheses d'unidimensionnalite, ayant pris en compte les problemes de dependance locale. Ces 12 elements doivent faire l'objet d'une validation de contenu pour renforcer davantage les resultats de cette etude.
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