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10.1016/j.urology.2021.08.025 http://scihub22266oqcxt.onion/10.1016/j.urology.2021.08.025 34461145!?!34461145 Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34461145&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       Urology 2022 ; 162 (?): 57-62 Nephropedia Template TP {{tp|p=34461145|t=2022. A Cross-Sectional Analysis of Barriers Associated With Non-Attendance at a Urology Telehealth Clinic in a Safety-Net Hospital |pdf=|usr=}}{{34461145}} gab.com Text A Cross-Sectional Analysis of Barriers Associated With Non-Attendance at a Urology Telehealth Clinic in a Safety-Net Hospital JO: Urology http://www.kidney.de/pget.php?&tw=1&pmid=34461145 #FOAvip OBJECTIVE: To analyze the factors associated with non-attendance at a urology telehealth clinic in a large urban safety-net hospital after institutional-mandated transition to telehealth due to COVID-19. METHODS: We identified all encounters scheduled for telehealth after March 17, 2020 and in the subsequent 8 weeks. Logistic regression was used to identify factors associated with attendance. RESULTS: In total there were 322 telehealth encounters, 228 (70.8%) of which were attended and 94 (29.2%) that were not attended. Racial/ethnic minorities accounted for 175 (77.0%) of attended and 73 (76.7%) of non-attended encounters. On multivariable regression, single/divorced/widowed (odds ratio [OR] 2.36, 95% confidence interval [CI] 1.26-4.43), current substance use disorder (OR 5.33, 95% CI 2.04-13.98), and being scheduled for a new patient appointment (OR 1.81, 95% CI 1.04-3.13) were associated with higher odds of not attending a telehealth encounter. Race/ethnicity, primary language, and country of birth were not associated with odds of attendance. CONCLUSION: Our findings identify several social factors (social support, substance use) associated with non-attendance at outpatient telehealth urology encounters at an urban safety-net hospital during the early stages of the COVID-19 pandemic. These barriers may have a greater impact specifically within a safety-net healthcare system and will inform equitable provision of urology telehealth programs in the future FUNDING: Goldberg-Benioff Endowed Professorship in Cancer Biology. The sponsors had no involvement with this study. Twit Text FOAVip A Cross-Sectional Analysis of Barriers Associated With Non-Attendance at a Urology Telehealth Clinic in a Safety-Net Hospital ????Urology http://www.kidney.de/pget.php?&tw=1&pmid=34461145 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34461145 #FOAvip English Wikipedia <ref>{{Cite pmid|34461145}}</ref> A Cross-Sectional Analysis of Barriers Associated With Non-Attendance at a Urology Telehealth Clinic in a Safety-Net Hospital #MMPMID34461145 Bell A; Lonergan PE; Escobar D; Fakunle M; Chu CE; Berdy S; Palmer NR; Breyer BN; Washington SL 3rd Urology 2022[Apr]; 162 (?): 57-62 PMID34461145show ga OBJECTIVE: To analyze the factors associated with non-attendance at a urology telehealth clinic in a large urban safety-net hospital after institutional-mandated transition to telehealth due to COVID-19. METHODS: We identified all encounters scheduled for telehealth after March 17, 2020 and in the subsequent 8 weeks. Logistic regression was used to identify factors associated with attendance. RESULTS: In total there were 322 telehealth encounters, 228 (70.8%) of which were attended and 94 (29.2%) that were not attended. Racial/ethnic minorities accounted for 175 (77.0%) of attended and 73 (76.7%) of non-attended encounters. On multivariable regression, single/divorced/widowed (odds ratio [OR] 2.36, 95% confidence interval [CI] 1.26-4.43), current substance use disorder (OR 5.33, 95% CI 2.04-13.98), and being scheduled for a new patient appointment (OR 1.81, 95% CI 1.04-3.13) were associated with higher odds of not attending a telehealth encounter. Race/ethnicity, primary language, and country of birth were not associated with odds of attendance. CONCLUSION: Our findings identify several social factors (social support, substance use) associated with non-attendance at outpatient telehealth urology encounters at an urban safety-net hospital during the early stages of the COVID-19 pandemic. These barriers may have a greater impact specifically within a safety-net healthcare system and will inform equitable provision of urology telehealth programs in the future FUNDING: Goldberg-Benioff Endowed Professorship in Cancer Biology. The sponsors had no involvement with this study. |*COVID-19/epidemiology[MESH] |*Telemedicine[MESH] |*Urology[MESH] |Cross-Sectional Studies[MESH] |Humans[MESH] |Pandemics[MESH]A Cross-Sectional Analysis of Barriers Associated With Non-Attendance (epmc).pdf DeepDyve Pubget Overpricing