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10.1016/j.jacr.2020.10.016 http://scihub22266oqcxt.onion/10.1016/j.jacr.2020.10.016 33220184!7598682!33220184     free     free     free 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       J+Am+Coll+Radiol 2021 ; 18 (4): 554-565 Nephropedia Template TP {{tp|p=33220184|t=2021. Imaging Utilization During the COVID-19 Pandemic Highlights Socioeconomic Health Disparities |pdf=|usr=}}{{33220184}} gab.com Text Imaging Utilization During the COVID-19 Pandemic Highlights Socioeconomic Health Disparities JO: J Am Coll Radiol http://www.kidney.de/pget.php?&tw=1&pmid=33220184 #FOAvip OBJECTIVE: The devastating impact from the coronavirus disease 2019 (COVID-19) pandemic highlights long-standing socioeconomic health disparities in the United States. The purpose of this study was to evaluate socioeconomic factors related to imaging utilization during the pandemic. METHODS: Retrospective review of consecutive imaging examinations was performed from January 1, 2019, to May 31, 2020, across all service locations (inpatient, emergency, outpatient). Patient level data were provided for socioeconomic factors (age, sex, race, insurance status, residential zip code). Residential zip code was used to assign median income level. The weekly total imaging volumes in 2020 and 2019 were plotted from January 1 to May 31 stratified by socioeconomic factors to demonstrate the trends during the pre-COVID-19 (January 1 to February 28) and post-COVID-19 (March 1 to May 31) periods. Independent-samples t tests were used to statistically compare the 2020 and 2019 socioeconomic groups. RESULTS: Compared with 2019, the 2020 total imaging volume in the post-COVID-19 period revealed statistically significant increased imaging utilization in patients who are aged 60 to 79 years (P = .0025), are male (P < .0001), are non-White (Black, Asian, other, unknown; P < .05), are covered by Medicaid or uninsured (P < .05), and have income below $80,000 (P < .05). However, there was a significant decrease in imaging utilization among patients who are younger (<18 years old; P < .0001), are female (P < .0001), are White (P = .0003), are commercially insured (P < .0001), and have income >/=$80,000 (P < .05). DISCUSSION: During the pandemic, there was a significant change in imaging utilization varying by socioeconomic factors, consistent with the known health disparities observed in the prevalence of COVID-19. These findings could have significant implications in directing utilization of resources during the pandemic and subsequent recovery. Twit Text FOAVip Imaging Utilization During the COVID-19 Pandemic Highlights Socioeconomic Health Disparities ????J Am Coll Radiol http://www.kidney.de/pget.php?&tw=1&pmid=33220184 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33220184 #FOAvip English Wikipedia <ref>{{Cite pmid|33220184}}</ref> Imaging Utilization During the COVID-19 Pandemic Highlights Socioeconomic Health Disparities #MMPMID33220184 Naidich JJ; Boltyenkov A; Wang JJ; Chusid J; Rula E; Hughes D; Sanelli PC J Am Coll Radiol 2021[Apr]; 18 (4): 554-565 PMID33220184show ga OBJECTIVE: The devastating impact from the coronavirus disease 2019 (COVID-19) pandemic highlights long-standing socioeconomic health disparities in the United States. The purpose of this study was to evaluate socioeconomic factors related to imaging utilization during the pandemic. METHODS: Retrospective review of consecutive imaging examinations was performed from January 1, 2019, to May 31, 2020, across all service locations (inpatient, emergency, outpatient). Patient level data were provided for socioeconomic factors (age, sex, race, insurance status, residential zip code). Residential zip code was used to assign median income level. The weekly total imaging volumes in 2020 and 2019 were plotted from January 1 to May 31 stratified by socioeconomic factors to demonstrate the trends during the pre-COVID-19 (January 1 to February 28) and post-COVID-19 (March 1 to May 31) periods. Independent-samples t tests were used to statistically compare the 2020 and 2019 socioeconomic groups. RESULTS: Compared with 2019, the 2020 total imaging volume in the post-COVID-19 period revealed statistically significant increased imaging utilization in patients who are aged 60 to 79 years (P = .0025), are male (P < .0001), are non-White (Black, Asian, other, unknown; P < .05), are covered by Medicaid or uninsured (P < .05), and have income below $80,000 (P < .05). However, there was a significant decrease in imaging utilization among patients who are younger (<18 years old; P < .0001), are female (P < .0001), are White (P = .0003), are commercially insured (P < .0001), and have income >/=$80,000 (P < .05). DISCUSSION: During the pandemic, there was a significant change in imaging utilization varying by socioeconomic factors, consistent with the known health disparities observed in the prevalence of COVID-19. These findings could have significant implications in directing utilization of resources during the pandemic and subsequent recovery. |*COVID-19[MESH] |*Healthcare Disparities[MESH] |*Pandemics[MESH] |*Socioeconomic Factors[MESH] |Adolescent[MESH] |Adult[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |Diagnostic Imaging/*trends[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Medicare[MESH] |Middle Aged[MESH] |Retrospective Studies[MESH] |United States/epidemiology[MESH]Imaging Utilization During the COVID-19 Pandemic Highlights Socioecono(epmc).pdf DeepDyve Pubget Overpricing