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: 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
The Human Resources for Health (HRH) mobility and migration are considered as global phenomena. The European Union often faces the mobility of health professionals on a system level. Hungary is recognised among the sending countries, therefore both international and national level health workforce monitoring, planning, and forecasting are inevitable. The purpose of this research was to investigate the national demographical profiles of the medical professions affected most significantly by the Hungarian HRH mobility process. Age and regional distribution analyses of the requests for degree certificate issued by the National Healthcare Services Centre were carried out between the years of 2010 and 2017. In Hungary, the rate of mobility - the number of requests for degree certificate among the licensed to practice professionals - resulted in the following: the highest rate was detected in anaesthesiology and intensive therapy with 23.5%, in surgery 17.9%, then internal medicine 7.9%, paediatrics 7.4%, and in general practice 6.4%. According to the results, in the 5 above mentioned professions, the physicians most affected by mobility are mostly from the age cohort of 50+. Furthermore, the results also highlight the territorial inequalities: the region of the capital as well as the medical university towns and counties are in the most favourable situation in terms of professional care and supply. Therefore, it can be concluded that in the case of the 5 investigated subspecialties, not only the overall age of the physicians is higher in the disadvantaged areas, but these regions also have to face a more severe shortage of specialists. Orv Hetil. 2019; 160(31): 1223-1230.
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Source |
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http://dx.doi.org/10.1556/650.2019.31413 | DOI Listing |
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