Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
For survey researchers, physicians in the United States are a difficult-to-reach subgroup. The purpose of this study is to quantify the effect of email reminders on web-based survey response rates targeting physicians. We conducted a retrospective analysis of 11 American Board of Internal Medicine surveys from 2017 to 2019. We compute aggregate response rates for the periods between weekly email contacts across the 11 surveys, while controlling for survey time to complete, physician age, gender, region, board certification status, and initial exam performance. The overall predicted response rate after six weekly email contacts was 23.7%, 95% CI: (17.1%, 33.0%). Across the 11 surveys, we found response rate for the first period to be 8.9%, 95% CI: (6.5%, 12.2%). We observed a 50% decrease in response from the first to the second period, which had a 4.4%, 95% CI: (3.2%, 6.2%), response rate. The third and fourth response periods yielded similar response rates of 3.0%, 95% CI: (2.3%, 3.9%) and 3.3%, 95%CI: (2.4%, 4.6%), respectively. The fifth and sixth response periods yielded similar response rates of 2.2%, 95%CI: (1.5%, 3.3%) and 1.9%, 95% CI: (1.3%, 2.7%), respectively. The results were further stratified into different levels of participant survey interest, and are helpful for cost and sample size considerations when designing a physician survey.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1177/01632787211019445 | DOI Listing |
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