2011
DOI: 10.1108/09526861111116642
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Data quality assurance: an analysis of patient non‐response

Abstract: Understanding patient responses across survey modes is critical for the cultivation of quality business intelligence within college teaching clinic settings. This study bridges measurement evidence from three popular data collection modalities and offers support for higher levels of quality for web-based data collection.

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Cited by 17 publications
(18 citation statements)
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“…22Y24 There was a higher response rate from the Web-based survey compared with the telephone or conventional mail methods, which has also been demonstrated in other studies. 25 In contrast to many other studies, however, successful contact, consent after contact, and completion after consent rates were acceptable (56%, 98%, 60%, respectively) given the length of follow-up (mean, 62 months). This is particularly pronounced when compared with other trauma-related quality-of-life outcomes studies, where adequate response rates are often limited to shorter follow-up or smaller prospective cohorts.…”
Section: Surveymentioning
confidence: 69%
“…22Y24 There was a higher response rate from the Web-based survey compared with the telephone or conventional mail methods, which has also been demonstrated in other studies. 25 In contrast to many other studies, however, successful contact, consent after contact, and completion after consent rates were acceptable (56%, 98%, 60%, respectively) given the length of follow-up (mean, 62 months). This is particularly pronounced when compared with other trauma-related quality-of-life outcomes studies, where adequate response rates are often limited to shorter follow-up or smaller prospective cohorts.…”
Section: Surveymentioning
confidence: 69%
“…Bias with the responses could increase when the values and characteristics between respondents and non-respondents differ [23]. To address non-response bias, in a manner inspired by others [24,25], we explored whether the content of the first 25% of responses received contained more (or less) complete data than the content of the last 25% of responses received. Further, we compared the results of one of the main questions (How often do you use a GIS application in your current position?)…”
Section: Discussionmentioning
confidence: 99%
“…The patient satisfaction literature suggests a strong positive response bias in patients' reports of satisfaction with physicians. 32,33 Such a response bias probably served to artificially raise scores on some of the immediate post-interaction measures and mask effects of the intervention. During the mail follow-ups, however, contextual demands for positive answers were weaker, because patients completed questionnaires in their homes, names were not asked for, and the questionnaires were returned to a university address rather than the clinic.…”
Section: Discussionmentioning
confidence: 99%