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10.1097/SMJ.0b013e31827c5a0c http://scihub22266oqcxt.onion/10.1097/SMJ.0b013e31827c5a0c C5340286!5340286 !23263319     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 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\23263319 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       South+Med+J 2013 ; 106 (1 ): 82-8 Nephropedia Template TP {{tp|p=23263319 |t=2013. Using appendiceal perforation rates to measure impact of a disaster on healthcare system effectiveness |pdf=|usr=}}{{23263319 }} gab.com Text Using appendiceal perforation rates to measure impact of a disaster on healthcare system effectiveness JO: South Med J http://www.kidney.de/pget.php?&tw=1&pmid=23263319 #FOAvip OBJECTIVES: To understand baseline inequities in appendiceal perforation rates and the impact of hurricane destruction on the healthcare system with respect to perforation rates and racial disparities. METHODS: We used claims data extracted from Medicaid Analytic Extract files to identify appendicitis diagnoses in children and adolescents based on International Classification of Diseases-9 codes and appendectomy procedures based on Current Procedural Terminology codes in the hurricane-affected states of Mississippi and Louisiana. County-level summary data obtained from 2005 Area Resource Files were used to determine high and low hurricane-affected areas. We estimated logistic regression models, mutually adjusting for race, sex, and age, to examine disparities and mixed logistic regression models to determine whether county-level effects contributed to perforation rates. RESULTS: There were nine counties in the high-impact area and 133 counties in the low-impact area. Living in the high- or low-impact area was not associated with a statistically different rate of perforation before or after Hurricane Katrina; however, living in the high-impact area was associated with a change from a lower risk (odds ratio [OR] 0.62) of perforation prehurricane to a higher risk (OR 1.14) posthurricane compared with those living in the low-impact areas. African Americans had statistically higher perforation rates than whites in the high-impact areas both before (OR 1.46) and after (OR 1.71) Hurricane Katrina. CONCLUSIONS: Health professionals and hospital systems were able to maintain effective levels of care before and after Hurricane Katrina; however, perforation rates in African Americans suggest ongoing racial disparities during disasters. Twit Text FOAVip Using appendiceal perforation rates to measure impact of a disaster on healthcare system effectiveness ????South Med J http://www.kidney.de/pget.php?&tw=1&pmid=23263319 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=23263319 #FOAvip English Wikipedia <ref>{{Cite pmid|23263319 }}</ref> Using appendiceal perforation rates to measure impact of a disaster on healthcare system effectiveness #MMPMID23263319 Mack D ; Rust GS ; Baltrus P ; Moore B ; Sow C ; Patel V ; Thomas D South Med J 2013[Jan]; 106 (1 ): 82-8 PMID23263319 show ga OBJECTIVES: To understand baseline inequities in appendiceal perforation rates and the impact of hurricane destruction on the healthcare system with respect to perforation rates and racial disparities. METHODS: We used claims data extracted from Medicaid Analytic Extract files to identify appendicitis diagnoses in children and adolescents based on International Classification of Diseases-9 codes and appendectomy procedures based on Current Procedural Terminology codes in the hurricane-affected states of Mississippi and Louisiana. County-level summary data obtained from 2005 Area Resource Files were used to determine high and low hurricane-affected areas. We estimated logistic regression models, mutually adjusting for race, sex, and age, to examine disparities and mixed logistic regression models to determine whether county-level effects contributed to perforation rates. RESULTS: There were nine counties in the high-impact area and 133 counties in the low-impact area. Living in the high- or low-impact area was not associated with a statistically different rate of perforation before or after Hurricane Katrina; however, living in the high-impact area was associated with a change from a lower risk (odds ratio [OR] 0.62) of perforation prehurricane to a higher risk (OR 1.14) posthurricane compared with those living in the low-impact areas. African Americans had statistically higher perforation rates than whites in the high-impact areas both before (OR 1.46) and after (OR 1.71) Hurricane Katrina. CONCLUSIONS: Health professionals and hospital systems were able to maintain effective levels of care before and after Hurricane Katrina; however, perforation rates in African Americans suggest ongoing racial disparities during disasters. |*Black or African American/statistics & numerical data [MESH] |*Disaster Planning [MESH] |*Health Services Accessibility [MESH] |*Healthcare Disparities/statistics & numerical data [MESH] |Adolescent [MESH] |Appendectomy/*statistics & numerical data [MESH] |Appendicitis/epidemiology/*ethnology/surgery [MESH] |Child [MESH] |Child, Preschool [MESH] |Cyclonic Storms [MESH] |Disasters [MESH] |Female [MESH] |Humans [MESH] |Infant [MESH] |Infant, Newborn [MESH] |Logistic Models [MESH] |Louisiana/epidemiology [MESH] |Male [MESH] |Medicaid/statistics & numerical data [MESH] |Mississippi/epidemiology [MESH] |Multivariate Analysis [MESH] |Residence Characteristics [MESH] |Retrospective Studies [MESH] |United States/epidemiology [MESH]Using appendiceal perforation rates to measure impact of a disaster on(epmc).pdf DeepDyve Pubget Overpricing