Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText.
Kick-your-searchterm to multiple Engines kick-your-query now !>
A dictionary by aggregated review articles of nephrology, medicine and the life sciences
Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

suck abstract from ncbi


10.1089/tmj.2021.0102

http://scihub22266oqcxt.onion/10.1089/tmj.2021.0102
suck pdf from google scholar
34255572!ä!34255572

suck abstract from ncbi


Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534

Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
pmid34255572      Telemed+J+E+Health 2022 ; 28 (4): 526-534
Nephropedia Template TP

gab.com Text

Twit Text FOAVip

Twit Text #

English Wikipedia


  • Patient-Level Factors Associated with Utilization of Telemedicine Services from a Free Clinic During COVID-19 #MMPMID34255572
  • Nguyen OT; Watson AK; Motwani K; Warpinski C; McDilda K; Leon C; Khanna N; Nall RW; Turner K
  • Telemed J E Health 2022[Apr]; 28 (4): 526-534 PMID34255572show ga
  • Background: Disparities in telemedicine use by race, age, and income have been consistently documented. To date, research has focused on telemedicine use among patients with adequate insurance coverage. To address this gap, this study identifies patient-level factors associated with telemedicine use during the coronavirus (COVID-19) pandemic among one free clinic network's patients who are underinsured or uninsured. Methods: Electronic health record data were reviewed for patient-level data on patients seen from March 2020 to September 2020. Patients were grouped by telemedicine use history. We controlled for sociodemographic factors (e.g., age, race/ethnicity) and comorbidities. Logistic regression analyses were conducted. Results: Across 198 adult patients, 56.6% received telemedicine care. Of these, 99.1% elected for audio-only telemedicine instead of video telemedicine. Telemedicine use was more likely among those living within 15 miles of their clinic (adjusted odds ratio [aOR] = 4.43, 95% confidence interval [CI] 1.70-11.53). It was less likely to be used by older patients (aOR = 0.97, 95% CI 0.94-1.00), patients of male sex (aOR = 0.85, 95% CI 0.18-0.92), and those establishing care as a new patient (aOR = 0.01, 95% CI 0.00-0.07). Conclusion: The moderate usage of telemedicine suggests that its implementation in free clinics may be feasible. Solutions specific to patients with smartphone-only internet access are needed to improve the use of video telemedicine as smartphone-specific factors (e.g., data use limits) may influence the ability for underserved patients to receive video telemedicine.
  • |*COVID-19/epidemiology[MESH]
  • |*Telemedicine[MESH]
  • |Adult[MESH]
  • |Ambulatory Care Facilities[MESH]
  • |Electronic Health Records[MESH]
  • |Ethnicity[MESH]
  • |Humans[MESH]


  • DeepDyve
  • Pubget Overpricing
  • suck abstract from ncbi

    Linkout box