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10.1177/1357633X20963893 http://scihub22266oqcxt.onion/10.1177/1357633X20963893 33081595!7578842!33081595     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+Telemed+Telecare 2023 ; 29 (1): 3-9 Nephropedia Template TP {{tp|p=33081595|t=2023. Disparities in the use of telehealth at the onset of the COVID-19 public health emergency |pdf=|usr=}}{{33081595}} gab.com Text Disparities in the use of telehealth at the onset of the COVID-19 public health emergency JO: J Telemed Telecare http://www.kidney.de/pget.php?&tw=1&pmid=33081595 #FOAvip INTRODUCTION: The coronavirus disease 2019 (COVID-19) pandemic resulted in an unprecedented expansion in telehealth, but little is known about differential use of telehealth according to demographics, rurality, or insurance status. METHODS: We performed a cross-sectional analysis of 7742 family medicine encounters at a single USA institution in the initial month of the COVID-19 public health emergency (PHE). We compared the demographics of those using telehealth during the PHE to those with face-to-face visits during the same time period; we also compared the demographics of those using full audio-video to those using audio-only. RESULTS: The likelihood of any telehealth visit in the first 30 days of telehealth expansion was higher for women, those age 65 years and older, self-pay patients, and those with Medicaid and Medicare as primary payers. The likelihood of a telehealth visit was reduced for rural residence and Black or other races. Among all telehealth visits, the likelihood of a full audio-video telehealth visit was reduced for patients who were older, Black, from urban areas, or who were self-pay, Medicaid, or Medicare payer status. DISCUSSION: Significant disparities exist in telehealth use during the COVID-19 PHE by age, race, residence and payer. Twit Text FOAVip Disparities in the use of telehealth at the onset of the COVID-19 public health emergency ????J Telemed Telecare http://www.kidney.de/pget.php?&tw=1&pmid=33081595 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33081595 #FOAvip English Wikipedia <ref>{{Cite pmid|33081595}}</ref> Disparities in the use of telehealth at the onset of the COVID-19 public health emergency #MMPMID33081595 Pierce RP; Stevermer JJ J Telemed Telecare 2023[Jan]; 29 (1): 3-9 PMID33081595show ga INTRODUCTION: The coronavirus disease 2019 (COVID-19) pandemic resulted in an unprecedented expansion in telehealth, but little is known about differential use of telehealth according to demographics, rurality, or insurance status. METHODS: We performed a cross-sectional analysis of 7742 family medicine encounters at a single USA institution in the initial month of the COVID-19 public health emergency (PHE). We compared the demographics of those using telehealth during the PHE to those with face-to-face visits during the same time period; we also compared the demographics of those using full audio-video to those using audio-only. RESULTS: The likelihood of any telehealth visit in the first 30 days of telehealth expansion was higher for women, those age 65 years and older, self-pay patients, and those with Medicaid and Medicare as primary payers. The likelihood of a telehealth visit was reduced for rural residence and Black or other races. Among all telehealth visits, the likelihood of a full audio-video telehealth visit was reduced for patients who were older, Black, from urban areas, or who were self-pay, Medicaid, or Medicare payer status. DISCUSSION: Significant disparities exist in telehealth use during the COVID-19 PHE by age, race, residence and payer. |*COVID-19/epidemiology[MESH] |*Telemedicine[MESH] |Aged[MESH] |Cross-Sectional Studies[MESH] |Female[MESH] |Humans[MESH] |Medicare[MESH] |Public Health[MESH]Disparities in the use of telehealth at the onset of the COVID-19 publ(epmc).pdf DeepDyve Pubget Overpricing