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10.3122/jabfm.2021.S1.200338 http://scihub22266oqcxt.onion/10.3122/jabfm.2021.S1.200338 33622817!ä!33622817 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Am+Board+Fam+Med 2021 ; 34 (Suppl): S40-S47 Nephropedia Template TP {{tp|p=33622817|t=2021. Association of COVID-19 With Race and Socioeconomic Factors in Family Medicine |pdf=|usr=}}{{33622817}} gab.com Text Association of COVID-19 With Race and Socioeconomic Factors in Family Medicine JO: J Am Board Fam Med http://www.kidney.de/pget.php?&tw=1&pmid=33622817 #FOAvip INTRODUCTION: Recent data demonstrated that socioeconomic, environmental, demographic, and health factors can contribute to vulnerability for coronavirus 2019 (COVID-19). The goal of this study was to assess association between severe acute respiratory syndrome coronavirus (SARS CoV-2) infection and demographic and socioeconomic factors in patients from a large academic family medicine practice to support practice operations. METHODS: Patients referred for SARS CoV-2 testing by practice providers were identified using shared patient lists in the electronic health records (Epic). The Health Information Exchange (CRISP) was used to identify additional practice-attributed patients receiving testing elsewhere. RESULTS: Compared with white non-Hispanic patients, the odds of COVID-19 detection were higher in black non-Hispanic (odds ratio [OR] = 1.75; 95% CI, 1.18-2.59, P = .0052) and Hispanic patients (OR = 5.40; 95% CI, 3.11-9.38, P < .0001). The latent class analysis revealed additional patterns in health disparities. Patients living in the areas with Area Deprivation Index 8-10 who were predominantly black had higher risk for SARS CoV-2 infection compared with patients living in less socioeconomically deprived areas who were predominantly white (OR = 1.68; 95% CI, 1.25-2.28; P = .0007). CONCLUSION: Our data provide insight into the association of COVID-19 with race/ethnic minority patients residing in highly socioeconomically deprived areas. These data could impact outreach and management of ambulatory COVID-19 in the future. Twit Text FOAVip Association of COVID-19 With Race and Socioeconomic Factors in Family Medicine ????J Am Board Fam Med http://www.kidney.de/pget.php?&tw=1&pmid=33622817 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33622817 #FOAvip English Wikipedia <ref>{{Cite pmid|33622817}}</ref> Association of COVID-19 With Race and Socioeconomic Factors in Family Medicine #MMPMID33622817 Khanna N; Klyushnenkova EN; Kaysin A J Am Board Fam Med 2021[Feb]; 34 (Suppl): S40-S47 PMID33622817show ga INTRODUCTION: Recent data demonstrated that socioeconomic, environmental, demographic, and health factors can contribute to vulnerability for coronavirus 2019 (COVID-19). The goal of this study was to assess association between severe acute respiratory syndrome coronavirus (SARS CoV-2) infection and demographic and socioeconomic factors in patients from a large academic family medicine practice to support practice operations. METHODS: Patients referred for SARS CoV-2 testing by practice providers were identified using shared patient lists in the electronic health records (Epic). The Health Information Exchange (CRISP) was used to identify additional practice-attributed patients receiving testing elsewhere. RESULTS: Compared with white non-Hispanic patients, the odds of COVID-19 detection were higher in black non-Hispanic (odds ratio [OR] = 1.75; 95% CI, 1.18-2.59, P = .0052) and Hispanic patients (OR = 5.40; 95% CI, 3.11-9.38, P < .0001). The latent class analysis revealed additional patterns in health disparities. Patients living in the areas with Area Deprivation Index 8-10 who were predominantly black had higher risk for SARS CoV-2 infection compared with patients living in less socioeconomically deprived areas who were predominantly white (OR = 1.68; 95% CI, 1.25-2.28; P = .0007). CONCLUSION: Our data provide insight into the association of COVID-19 with race/ethnic minority patients residing in highly socioeconomically deprived areas. These data could impact outreach and management of ambulatory COVID-19 in the future. |Adolescent[MESH] |Adult[MESH] |Aged[MESH] |Black or African American/statistics & numerical data[MESH] |COVID-19 Testing/*statistics & numerical data[MESH] |COVID-19/*ethnology[MESH] |Child[MESH] |Child, Preschool[MESH] |Family Practice/*statistics & numerical data[MESH] |Female[MESH] |Hispanic or Latino/statistics & numerical data[MESH] |Humans[MESH] |Infant[MESH] |Infant, Newborn[MESH] |Male[MESH] |Maryland/epidemiology[MESH] |Middle Aged[MESH] |Pandemics[MESH] |SARS-CoV-2[MESH] |Social Determinants of Health/*statistics & numerical data[MESH] |Socioeconomic Factors[MESH] |White People/statistics & numerical data[MESH]Association of COVID-19 With Race and Socioeconomic Factors in Family (epmc).pdf DeepDyve Pubget Overpricing