Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&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
Background: In recent decades, patients' exposure to ionising radiation (IR) during diagnostic examinations has increased a great deal. X-ray requests do not always conform to the principle of 'justification', which emphasises the real utility and necessity of the examination. Databases maintained by general practitioners usually record all requests for radiological examinations of their patients and could be configured to assess the radiological risk for each patient.
Objective: To show, through the analysis of the data extracted from a database commonly used by Italian general practitioners, whether it is possible to measure patients' exposure to IR in the previous five years, so that doctors are aware of this when they refer patients for examination involving further exposure to radiation.
Method: Records of 120 patients from an Italian general practice were randomly extracted from the practice database. The patients were a mix of male and female, aged from 15 to 64 years. All radiological examinations performed in the previous five years were recorded in a special spreadsheet, which had been created for computing the exposure to ionising radiation in milliSiviert.
Results: The calculated cumulative exposure of the 120 patients showed a very different perspective, which could help doctors when applying the principle of justification and allow accurate information to be communicated to the patient concerning their relevant health problem.
Conclusions: Databases maintained by general practitioners could easily be configured to automatically compute the radiological risk for each patient and to alert the doctor when an X-ray examination is prescribed, giving the doctor crucial decisional support for its justification.
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Source |
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http://dx.doi.org/10.14236/jhi.v18i2.759 | DOI Listing |
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