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: 3122
Function: getPubMedXML
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
Rationale: Although intensive care units (ICUs) were created for patients with life-threatening illnesses, the ICU environment generates a high risk of iatrogenic events. Identifying medical errors (MEs) that serve as indicators for iatrogenic risk is crucial for purposes of reporting and prevention.
Objectives: We describe the selection of indicator MEs, the incidence of such MEs, and their relationship with mortality.
Methods: We selected indicator MEs using Delphi techniques. An observational prospective multicenter cohort study of these MEs was conducted from March 27 to April 3, 2006, in 70 ICUs; 16 (23%) centers were audited. Harm from MEs was collected using specific scales.
Measurements And Main Results: Fourteen types of MEs were selected as indicators; 1,192 MEs were reported for 1,369 patients, and 367 (26.8%) patients experienced at least 1 ME (2.1/1,000 patient-days). The most common MEs were insulin administration errors (185.9/1,000 d of insulin treatment). Of the 1,192 medical errors, 183 (15.4%) in 128 (9.3%) patients were adverse events that were followed by one or more clinical consequences (n = 163) or that required one or more procedures or treatments (n = 58). By multivariable analysis, having two or more adverse events was an independent risk factor for ICU mortality (odds ratio, 3.09; 95% confidence interval, 1.30-7.36; P = 0.039).
Conclusions: The impact of medical errors on mortality indicates an urgent need to develop prevention programs. We have planned a study to assess a program based on our results.
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Source |
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http://dx.doi.org/10.1164/rccm.200812-1820OC | DOI Listing |
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