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
Background: Studies show patients may have gender or racial preferences for physicians.
Objective: To determine the degree to which physicians' gender and name characteristics influenced physician clinical load in medical practice, including patient panel size and percent of slots filled.
Design: Observational cohort study of a continuity clinic site in Rochester, MN, from July 1, 2015 to June 30, 2017 ("historical" period) and July 1, 2018 to January 30, 2020 ("contemporary" period).
Participants: Internal medicine resident physicians.
Main Measures: Resident gender, name, and race came from residency management system data. Panel size, percent of appointment slots filled ("slot fill"), panel percent female, and panel percent non-White came from the electronic health record. Multivariable linear regression models calculated beta estimates with 95% confidence intervals and R for the impact of physician gender, surname origin, name character length, and name consonant-to-vowel ratio on each outcome, adjusting for race and year of residency.
Key Results: Of the 307 internal medicine residents, 122 (40%) were female and 197 (64%) were White. Their patient panels were 51% female (SD 16) and 74% White (SD 6). Female gender was associated with a 5.3 (95% CI 2.7-7.9) patient increase in panel size and a 1.5% (95% CI -0.6 to 3.7) increase in slot fill. European, non-Hispanic surname was associated with a 5.3 (95% CI 2.6-7.9) patient increase in panel size and a 4.3 percent (95% CI 2.1-6.4) increase in slot fill. Race and other name characteristics were not associated with physician clinical load. From the historical to contemporary period, the influence of name characteristics decreased from 9 to 4% for panel size and from 15 to 5% for slot fill.
Conclusions: Female gender and European, non-Hispanic surname origin are associated with increased physician clinical load-even more than race. While these disparities may have serious consequences, they are also addressable.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8131413 | PMC |
http://dx.doi.org/10.1007/s11606-020-06296-x | DOI Listing |
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