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10.1016/j.acap.2020.03.014 http://scihub22266oqcxt.onion/10.1016/j.acap.2020.03.014 32278078!7194998!32278078     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Acad+Pediatr 2020 ; 20 (5): 642-651 Nephropedia Template TP {{tp|p=32278078|t=2020. Telemedicine and Outpatient Subspecialty Visits Among Pediatric Medicaid Beneficiaries |pdf=|usr=}}{{32278078}} gab.com Text Telemedicine and Outpatient Subspecialty Visits Among Pediatric Medicaid Beneficiaries JO: Acad Pediatr http://www.kidney.de/pget.php?&tw=1&pmid=32278078 #FOAvip OBJECTIVE: Live interactive telemedicine is increasingly covered by state Medicaid programs, but whether telemedicine is improving equity in utilization of subspecialty care is not known. We examined patterns of telemedicine use for outpatient pediatric subspecialty care within the state Medicaid programs. METHODS: We identified children </=17 years old in 2014 Medicaid Analysis eXtract data for 12 states. We identified telemedicine-using and telemedicine-nonusing medical and surgical subspecialists. Among children cared for by telemedicine-using subspecialists, we assessed child and subspecialist characteristics associated with any telemedicine visit using logistic regression with subspecialist-level random effects. Among children cared for by telemedicine-using and nonusing subspecialists, we compared visit rates across child characteristics by assessing negative binomial regression interaction terms. RESULTS: Of 12,237,770 pediatric Medicaid beneficiaries, 2,051,690 (16.8%) had >/=1 subspecialist visit. Of 42,695 subspecialists identified, 146 (0.3%) had >/=1 telemedicine claim. Among children receiving care from telemedicine-using subspecialists, likelihood of any telemedicine use was increased for rural children (odds ratio [OR] 10.4, 95% confidence interval [CI] 6.3-17.1 compared to large metropolitan referent group) and those >90 miles from the subspecialist (OR 13.4, 95% CI 10.2-17.7 compared to 0-30 mile referent group). Compared to children receiving care from telemedicine-nonusing subspecialists, matched children receiving care from telemedicine-using subspecialists had larger differences in visit rates by distance to care, county rurality, ZIP code median income, and child race/ethnicity (P < .001 for interaction terms). CONCLUSIONS: Children in rural communities and at distance to subspecialists had increased likelihood of telemedicine use. Use overall was low, and results indicated that early telemedicine policies and implementation did not close disparities in subspecialty visit rates by child geographic and sociodemographic characteristics. Twit Text FOAVip Telemedicine and Outpatient Subspecialty Visits Among Pediatric Medicaid Beneficiaries ????Acad Pediatr http://www.kidney.de/pget.php?&tw=1&pmid=32278078 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32278078 #FOAvip English Wikipedia <ref>{{Cite pmid|32278078}}</ref> Telemedicine and Outpatient Subspecialty Visits Among Pediatric Medicaid Beneficiaries #MMPMID32278078 Ray KN; Mehrotra A; Yabes JG; Kahn JM Acad Pediatr 2020[Jul]; 20 (5): 642-651 PMID32278078show ga OBJECTIVE: Live interactive telemedicine is increasingly covered by state Medicaid programs, but whether telemedicine is improving equity in utilization of subspecialty care is not known. We examined patterns of telemedicine use for outpatient pediatric subspecialty care within the state Medicaid programs. METHODS: We identified children /=1 subspecialist visit. Of 42,695 subspecialists identified, 146 (0.3%) had >/=1 telemedicine claim. Among children receiving care from telemedicine-using subspecialists, likelihood of any telemedicine use was increased for rural children (odds ratio [OR] 10.4, 95% confidence interval [CI] 6.3-17.1 compared to large metropolitan referent group) and those >90 miles from the subspecialist (OR 13.4, 95% CI 10.2-17.7 compared to 0-30 mile referent group). Compared to children receiving care from telemedicine-nonusing subspecialists, matched children receiving care from telemedicine-using subspecialists had larger differences in visit rates by distance to care, county rurality, ZIP code median income, and child race/ethnicity (P < .001 for interaction terms). CONCLUSIONS: Children in rural communities and at distance to subspecialists had increased likelihood of telemedicine use. Use overall was low, and results indicated that early telemedicine policies and implementation did not close disparities in subspecialty visit rates by child geographic and sociodemographic characteristics. |*Medicaid[MESH] |*Pediatrics[MESH] |*Telemedicine[MESH] |Adolescent[MESH] |Ambulatory Care[MESH] |Child[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Outpatients[MESH] |Rural Population[MESH]Telemedicine and Outpatient Subspecialty Visits Among Pediatric Medica(epmc).pdf DeepDyve Pubget Overpricing