Suppr超能文献

患者对全科医疗评估调查的反应基于哪些维度?一项因子分析研究。

What dimensions underlie patient responses to the General Practice Assessment Survey? A factor analytic study.

作者信息

Bower Peter, Mead Nicola, Roland Martin

机构信息

National Primary Care Research and Development Centre, University of Manchester, Manchester M13 9PL, UK.

出版信息

Fam Pract. 2002 Oct;19(5):489-95. doi: 10.1093/fampra/19.5.489.

Abstract

BACKGROUND

Patient self-report measures of primary care are being used increasingly for quality assessment and improvement. The General Practice Assessment Survey (GPAS) is a widely used measure. However, it is important that the measures used are valid and interpretable. Factor analysis is a useful method to assist in validation.

OBJECTIVE

The aim of this study was to determine the underlying structure of responses to the GPAS.

METHODS

Factor analysis of data from a number of patient surveys was carried out using the GPAS in primary care.

RESULTS

Analysis indicated that three factors underlie responses to the GPAS. These were named "access", "patient-centredness" and "nursing". These factors were replicated in a second sample of GPAS survey data.

CONCLUSION

Responses to the GPAS can best be summarized in terms of three underlying factors, which supports previous conceptual work. These factors may also have utility for reducing the overall length of the GPAS, and in reducing the need for multiple hypothesis testing associated with the use of the original scales.

摘要

背景

初级保健的患者自我报告测量方法越来越多地用于质量评估和改进。全科医疗评估调查(GPAS)是一种广泛使用的测量方法。然而,所使用的测量方法有效且可解释很重要。因子分析是有助于验证的一种有用方法。

目的

本研究的目的是确定对GPAS回答的潜在结构。

方法

使用初级保健中的GPAS对来自多项患者调查的数据进行因子分析。

结果

分析表明,对GPAS的回答有三个潜在因素。这些因素被命名为“可及性”、“以患者为中心”和“护理”。这些因素在GPAS调查数据的第二个样本中得到了重复。

结论

对GPAS的回答最好根据三个潜在因素进行总结,这支持了之前的概念性工作。这些因素也可能有助于缩短GPAS的总长度,并减少与使用原始量表相关的多重假设检验的需求。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验