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J Spec Pediatr Nurs. 2011 Jan;16(1):75-9. doi: 10.1111/j.1744-6155.2010.00272.x.
2
Initial Psychometric Properties of the Pain Care Quality Survey (PainCQ).疼痛护理质量调查（PainCQ）的初始心理测量特性。
J Pain. 2010 Dec;11(12):1311-9. doi: 10.1016/j.jpain.2010.03.008. Epub 2010 May 26.
3
Measuring the quality of care related to pain management: a multiple-method approach to instrument development.测量与疼痛管理相关的医疗服务质量：一种仪器开发的多方法途径。
Nurs Res. 2010 Mar-Apr;59(2):85-92. doi: 10.1097/NNR.0b013e3181d1a732.
4
Core aspects of satisfaction with pain management: cancer patients' perspectives.疼痛管理满意度的核心方面：癌症患者的观点。
J Pain Symptom Manage. 2010 Jan;39(1):100-15. doi: 10.1016/j.jpainsymman.2009.06.009. Epub 2009 Oct 29.
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Advancing the science in the measurement of health care quality influenced by nurses.推进受护士影响的医疗保健质量测量方面的科学发展。
Med Care Res Rev. 2007 Apr;64(2 Suppl):144S-69S. doi: 10.1177/1077558707299257.
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Classical test theory.经典测验理论
Med Care. 2006 Nov;44(11 Suppl 3):S50-9. doi: 10.1097/01.mlr.0000245426.10853.30.
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Structural equation models for quality of life response shifts: promises and pitfalls.生活质量反应转变的结构方程模型：前景与陷阱
Qual Life Res. 2005 Dec;14(10):2345-51. doi: 10.1007/s11136-005-3977-2.
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When is cancer pain mild, moderate or severe? Grading pain severity by its interference with function.癌症疼痛何时为轻度、中度或重度？根据疼痛对功能的干扰程度对疼痛严重程度进行分级。
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疼痛护理质量调查（PainCQ©）的验证性因子分析。

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

机构信息

College of Nursing, University of Utah, Salt Lake City, UT 84112, USA.

出版信息

Health Serv Res. 2013 Jun;48(3):1018-38. doi: 10.1111/1475-6773.12014. Epub 2012 Dec 3.

DOI:10.1111/1475-6773.12014
PMID:23205503
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3681241/
Abstract

OBJECTIVE

To examine the reliability and validity and to decrease the battery of items in the Pain Care Quality (PainCQ(©) ) Surveys.

DATA SOURCES/STUDY SETTING: Patient-reported data were collected prospectively from 337 hospitalized adult patients with pain on medical/surgical oncology units in four hospitals in three states.

STUDY DESIGN

This methodological study used a cross-sectional survey design. Each consenting patient completed two PainCQ(©) Surveys, the Brief Pain Inventory-Short Form, and demographic questions. Clinical data were extracted from the medical record.

DATA COLLECTION/EXTRACTION METHODS: All data were double entered into a Microsoft Access database, cleaned, and then extracted into SPSS, AMOS, and Mplus for analysis.

PRINCIPAL FINDINGS

Confirmatory factor analysis using Structural Equation Modeling supported the initial factor structure. Modification indices guided decisions that resulted in a superior, parsimonious model for the PainCQ-Interdisciplinary Care Survey (six items, two subscales) and the PainCQ-Nursing Care Survey (14 items, three subscales). Cronbach's alpha coefficients all exceeded .80.

CONCLUSIONS

Cumulative evidence supports the reliability and validity of the companion PainCQ(©) Surveys in hospitalized patients with pain in the oncology setting. The tools may be relevant in both clinical research and quality improvement. Future research is recommended in other populations, settings, and with more diverse groups.

摘要

目的

检验疼痛护理质量（PainCQ(©) ）调查问卷的可靠性和有效性，并精简其项目组合。

资料来源/研究场所：前瞻性收集了来自四个州的四家医院的医学/肿瘤外科住院成年疼痛患者 337 人的患者报告数据。

研究设计

这是一项使用横断面调查设计的方法学研究。每位同意参与的患者均完成两份 PainCQ(©) 调查问卷、简短疼痛量表-简表以及人口统计学问题。临床数据从病历中提取。

资料收集/提取方法：所有数据均经双录入进入 Microsoft Access 数据库，进行清理后再导入 SPSS、AMOS 和 Mplus 进行分析。

主要发现

结构方程模型的验证性因子分析支持初始因子结构。修正指数指导决策，最终得出疼痛跨学科护理调查问卷（六项目、两个分量表）和疼痛护理调查问卷（14 项目、三个分量表）的更优简约模型。克朗巴赫 α 系数均大于.80。

结论

累积证据支持疼痛护理质量调查问卷在肿瘤学环境下住院疼痛患者中的可靠性和有效性。这些工具在临床研究和质量改进中可能都具有相关性。建议在其他人群、环境和更多样化的群体中开展进一步研究。