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评估卫生服务研究中的调查质量:评估无应答偏倚的决策框架。

Evaluating survey quality in health services research: a decision framework for assessing nonresponse bias.

机构信息

Department of Management & Marketing, Culverhouse College of Commerce & Business Administration, University of Alabama, Tuscaloosa, AL, USA.

出版信息

Health Serv Res. 2013 Jun;48(3):913-30. doi: 10.1111/1475-6773.12002. Epub 2012 Oct 10.

DOI:10.1111/1475-6773.12002
PMID:23046097
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3681236/
Abstract

OBJECTIVE

To address the issue of nonresponse as problematic and offer appropriate strategies for assessing nonresponse bias.

STUDY DESIGN

A review of current strategies used to assess the quality of survey data and the challenges associated with these strategies is provided along with appropriate post-data collection techniques that researchers should consider.

PRINCIPAL FINDINGS

Response rates are an incomplete assessment of survey data quality, and quick reactions to response rate should be avoided. Based on a five-question decision making framework, we offer potential ways to assess nonresponse bias, along with a description of the advantages and disadvantages to each.

CONCLUSIONS

It is important that the quality of survey data be considered to assess the relative contribution to the literature of a given study. Authors and funding agencies should consider the potential effects of nonresponse bias both before and after survey administration and report the results of assessments of nonresponse bias in addition to response rates.

摘要

目的

将无应答问题视为一个问题,并提供评估无应答偏差的适当策略。

研究设计

对当前用于评估调查数据质量的策略以及这些策略所带来的挑战进行了回顾,并提供了适当的、在数据收集之后可以采用的技术,以供研究人员参考。

主要发现

应答率不能完全评估调查数据的质量,对于应答率的快速反应应该避免。我们基于一个五问决策框架,提出了评估无应答偏差的潜在方法,并描述了每种方法的优缺点。

结论

有必要对调查数据的质量进行评估,以评估给定研究对文献的相对贡献。作者和资助机构应在调查实施前后都考虑无应答偏差的潜在影响,并报告无应答偏差评估的结果,以及应答率的结果。

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