Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1186/s12913-017-2301-5 http://scihub22266oqcxt.onion/10.1186/s12913-017-2301-5 C5438487!5438487!28526035     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=28526035&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\28526035.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       BMC+Health+Serv+Res 2017 ; 17 (ä): ä Nephropedia Template TP {{tp|p=28526035|t=2017. Microblogging violent attacks on medical staff in China: a case study of the Longmen County People?s Hospital incident |pdf=|usr=}}{{28526035}} gab.com Text Microblogging violent attacks on medical staff in China: a case study of the Longmen County People s Hospital incident JO: BMC Health Serv Res http://www.kidney.de/pget.php?&tw=1&pmid=28526035 #FOAvip Background: A violent attack on medical staff in Guangdong Province, in which a female doctor at Longmen County People?s Hospital (LCPH) was severely injured by a knife-wielding patient, has drawn significant public attention to the phenomenon of hospital violence and initiated discussions on how to resolve violence in hospitals. Social networking sites, such as Sina Weibo, a Chinese version of Twitter, have played a role in this public debate. The incident at LCPH provides an opportunity to examine how Weibo has been used in the debate about violence against medical staff in China. Methods: Using the Sina Weibo?s built-in search tool, we established a dataset of 661 Chinese-language micro-blogs containing the search terms: Longmen (????), doctor (????), and slash (???) that were posted between July 15, 2015, the date of the violent incident at LCPH, and August 15, 2015. We performed a content analysis of the micro-blogs to examine: users? demographics, attitudes toward the injured doctor and the attacker, possible reasons for the hospital violence, and proposed measures for preventing doctors from violent incidents. Results: 73.2% of the micro-blogs were sent by individual Weibo users, and 26.8% were posted by organizations. For individual users, around 10.0% described themselves as either doctors or healthcare providers, but users from the legal profession were rarely identified. Moreover, only 3 micro-blogs proposed concrete strategies for preventing hospital violence, and nearly 10.0% of micro-blogs expressed regrets about entering a medical career and attempts to quit medical positions. In general 56.3% of micro-blogs showed sympathy for the injured doctor, while less than 25.0% of micro-blogs explicitly condemned the attacker?s behavior. Conclusions: Weibo users played a role in distributing news information about the violent incident at LCPH; however, the legal perspective is inadequately discussed in the debate, and discussion of constructive measures for protecting doctors and preventing hospital violence was rare. Our research suggests that critical challenges for the Chinese health care system will remain or become worse if no effective measures are implemented to prevent hospital violence. Twit Text FOAVip Microblogging violent attacks on medical staff in China: a case study of the Longmen County People s Hospital incident ????BMC Health Serv Res http://www.kidney.de/pget.php?&tw=1&pmid=28526035 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28526035 #FOAvip English Wikipedia <ref>{{Cite pmid|28526035}}</ref> Microblogging violent attacks on medical staff in China: a case study of the Longmen County People?s Hospital incident #MMPMID28526035 Tian J; Du L BMC Health Serv Res 2017[]; 17 (ä): ä PMID28526035show ga Background: A violent attack on medical staff in Guangdong Province, in which a female doctor at Longmen County People?s Hospital (LCPH) was severely injured by a knife-wielding patient, has drawn significant public attention to the phenomenon of hospital violence and initiated discussions on how to resolve violence in hospitals. Social networking sites, such as Sina Weibo, a Chinese version of Twitter, have played a role in this public debate. The incident at LCPH provides an opportunity to examine how Weibo has been used in the debate about violence against medical staff in China. Methods: Using the Sina Weibo?s built-in search tool, we established a dataset of 661 Chinese-language micro-blogs containing the search terms: Longmen (????), doctor (????), and slash (???) that were posted between July 15, 2015, the date of the violent incident at LCPH, and August 15, 2015. We performed a content analysis of the micro-blogs to examine: users? demographics, attitudes toward the injured doctor and the attacker, possible reasons for the hospital violence, and proposed measures for preventing doctors from violent incidents. Results: 73.2% of the micro-blogs were sent by individual Weibo users, and 26.8% were posted by organizations. For individual users, around 10.0% described themselves as either doctors or healthcare providers, but users from the legal profession were rarely identified. Moreover, only 3 micro-blogs proposed concrete strategies for preventing hospital violence, and nearly 10.0% of micro-blogs expressed regrets about entering a medical career and attempts to quit medical positions. In general 56.3% of micro-blogs showed sympathy for the injured doctor, while less than 25.0% of micro-blogs explicitly condemned the attacker?s behavior. Conclusions: Weibo users played a role in distributing news information about the violent incident at LCPH; however, the legal perspective is inadequately discussed in the debate, and discussion of constructive measures for protecting doctors and preventing hospital violence was rare. Our research suggests that critical challenges for the Chinese health care system will remain or become worse if no effective measures are implemented to prevent hospital violence. äMicroblogging violent attacks on medical staff in China: a case study (epmc).pdf DeepDyve Pubget Overpricing