2019
DOI: 10.29115/sp-2019-0008
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Effects of Push-To-Web Mixed Mode Approaches on Survey Response Rates: Evidence from a Randomized Experiment in Emergency Departments

Abstract: Recent work involving survey administration among emergency department (ED) patients has demonstrated very low response rates using single-mode (e.g., mail-only or web-only) approaches. In this study, the authors tested several mixed-mode protocols that focus on a push-to-web approach for survey administration in this challenging but important setting. A random sample of 26,991 ED discharged-to-community (DTC) patients discharged in January 2018-March 2018 from 16 hospital-based EDs nationwide were randomized … Show more

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Cited by 15 publications
(24 citation statements)
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“…Nonresponse bias is possible if characteristics associated with nonresponse are also associated with care experiences. 13 However, previous work suggests that adjusting for differences in case mix, as done in this study, adequately addresses any nonresponse bias. 21 Our observed response rate reflects the challenging-to-survey ED patient population that is relatively young and mobile compared to those served in other health care settings.…”
Section: Limitationsmentioning
confidence: 75%
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“…Nonresponse bias is possible if characteristics associated with nonresponse are also associated with care experiences. 13 However, previous work suggests that adjusting for differences in case mix, as done in this study, adequately addresses any nonresponse bias. 21 Our observed response rate reflects the challenging-to-survey ED patient population that is relatively young and mobile compared to those served in other health care settings.…”
Section: Limitationsmentioning
confidence: 75%
“…Previous analyses have demonstrated the need for adjustment for mode of survey administration and these case mix adjustment variables. 13,14 Response percentile captures both ED response rate and how quickly a patient responded to the survey compared to other patients in the same ED and mode of administration; 14 it is defined as the rank-ordered number of days between a respondent's discharge date and the date that data collection activities ended for the respondent relative to all eligible patients within ED and mode of administration, scaled from 0 to 1. We adjusted for this variable because later responders often provide more negative responses than those who respond quickly.…”
Section: Discussionmentioning
confidence: 99%
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