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: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1075
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3195
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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BackgroundBurnout and medical errors are the most prevalent issues affecting health and life outcomes among healthcare professionals.ObjectiveThis study aimed to investigate the longitudinal association between burnout and medical errors in healthcare workers in Japan.MethodsWe conducted a prospective cohort study involving 539 healthcare workers from January 2017 to January 2018. Burnout was evaluated using the Maslach Burnout Inventory-General Survey (MBI-GS), which included exhaustion, cynicism, and professional efficacy dimensions. Medical errors during the previous year were measured by self-assessment at follow-up. Multivariate modified Poisson regressions estimated the association between baseline burnout and follow-up medical errors.ResultsIn the age and sex-adjusted model, overall burnout was significantly associated with medical errors ( = 0.008). Participants with high burnout levels exhibited a greater risk of medical errors than those with low or moderate levels (RR = 1.19, 95% CI: 1.05-1.35). Exhaustion and cynicism correlated significantly with medical errors ( < 0.05). High or moderate levels of exhaustion and cynicism were associated with elevated risks of medical errors (RR = 1.31 [95% CI: 1.10-1.55]; 1.25 [1.02-1.53]), (RR = 1.31 [95% CI: 1.13-1.53]; 1.20 [1.03-1.41]), compared to low-level counterparts, respectively.ConclusionHealthcare workers who experience burnout may be at an increased risk for medical errors.
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http://dx.doi.org/10.1177/09246479241301257 | DOI Listing |