Literature DB >> 20537957

Initial Psychometric Properties of the Pain Care Quality Survey (PainCQ).

Susan L Beck1, Gail L Towsley, Marjorie A Pett, Patricia H Berry, Ellen Lavoie Smith, Jeannine M Brant, Jia-Wen Guo.   

Abstract

UNLABELLED: This study examined the psychometric properties of the Pain Care Quality (PainCQ) survey, a new instrument to measure the quality of nursing and interdisciplinary care related to pain management. Hospitalized medical/surgical oncology patients with pain from 3 states completed the 44-item version of the PainCQ survey following completion of a nursing shift. Interdisciplinary items were evaluated over the entire hospital stay; nursing care was evaluated during the previous shift. The sample included 109 patients ranging in age from 20 to 84 (mean = 53.09). The sample was 58.7% female, 88% non-Hispanic white. Principal Axis Factoring with an oblimin rotation was used as factors were correlated. Two scales resulted. The PainCQ-Interdisciplinary scale included 11 items representing 2 constructs and explaining 47.1% of shared item variance: partnership with the health care team (k = 6 items; α = .85) and comprehensive interdisciplinary pain care (k = 5 items; α = .76). The PainCQ-Nursing scale measured three constructs and explained 60.8 % of shared item variance: being treated right (k = 15 items; α = .95), comprehensive nursing pain care (k = 3 items; α = .77), and efficacy of pain management (k =4 items; α = .87). Results supported the internal consistency reliability and structural validity of the PainCQ survey with 33 items. PERSPECTIVE: This article presents the psychometric properties of a new tool to measure interdisciplinary and nursing care quality related to pain management from the patient's perspective. This tool can be used for research and as a clinical performance measure to monitor and improve quality of care and patient outcomes.
Copyright © 2010 American Pain Society. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20537957     DOI: 10.1016/j.jpain.2010.03.008

Source DB:  PubMed          Journal:  J Pain        ISSN: 1526-5900            Impact factor:   5.820


  6 in total

1.  Confirmatory factor analysis of the pain care quality surveys (PainCQ©).

Authors:  Marjorie A Pett; Susan L Beck; Jia-Wen Guo; Gail L Towsley; Jeannine M Brant; Ellen M Lavoie Smith; Patricia H Berry; Gary W Donaldson
Journal:  Health Serv Res       Date:  2012-12-03       Impact factor: 3.402

2.  Insight into Patients' Experiences of Cancer Care in Taiwan: An Instrument Translation and Cross-Cultural Adaptation Study.

Authors:  Tsung-Hsien Yu; Kuo-Piao Chung; Yu-Chi Tung; Hsin-Yun Tsai
Journal:  Int J Environ Res Public Health       Date:  2018-08-17       Impact factor: 3.390

3.  Cross-Cultural Translation of the nChinese Version of Pain Care Quality Surveys (C-PainCQ).

Authors:  Jia-Wen Guo; Hui-Ying Chiang; Susan L Beck
Journal:  Asian Pac Isl Nurs J       Date:  2020

4.  Shared Decision-Making in Managing Breakthrough Cancer Pain in Patients With Advanced Cancer.

Authors:  Jeannine M Brant; Debra Wujcik; William N Dudley; Alison Petok; Brooke Worster; Diane Jones; Kim Bosket; Christian Brady; Carrie Tompkins Stricker
Journal:  J Adv Pract Oncol       Date:  2022-02-01

5.  Measuring the quality of patient-centered care: why patient-reported measures are critical to reliable assessment.

Authors:  Flora Tzelepis; Robert W Sanson-Fisher; Alison C Zucca; Elizabeth A Fradgley
Journal:  Patient Prefer Adherence       Date:  2015-06-24       Impact factor: 2.711

Review 6.  Are we missing the Institute of Medicine's mark? A systematic review of patient-reported outcome measures assessing quality of patient-centred cancer care.

Authors:  Flora Tzelepis; Shiho K Rose; Robert W Sanson-Fisher; Tara Clinton-McHarg; Mariko L Carey; Christine L Paul
Journal:  BMC Cancer       Date:  2014-01-25       Impact factor: 4.430

  6 in total

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