Population-Level Estimates Of Telemedicine Service Provision Using An All-Payer Claims Database
| Autor: | Stefan Gildemeister, Jiani Yu, Pamela J. Mink, Peter J. Huckfeldt, Jean M. Abraham |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Rural Population
Telemedicine 020205 medical informatics Population level Minnesota media_common.quotation_subject Service provision Health Care Sector 02 engineering and technology Medicare Insurance Claim Review 03 medical and health sciences 0302 clinical medicine Physicians 0202 electrical engineering electronic engineering information engineering Humans 030212 general & internal medicine Claims database media_common Actuarial science Population Health Medicaid Health Policy Payment United States Insurance Health Reimbursement Business |
| Zdroj: | Health Affairs. 37:1931-1939 |
| ISSN: | 1544-5208 0278-2715 |
| Popis: | In recent years state and federal policies have encouraged the use of telemedicine by formalizing payments for it. Telemedicine has the potential to expand access to timely care and reduce costs, relative to in-person care. Using information from the Minnesota All Payer Claims Database, we conducted a population-level analysis of telemedicine service provision in the period 2010-15, documenting variation in provision by coverage type, provider type, and rurality of patient residence. During this period the number of telemedicine visits increased from 11,113 to 86,238, and rates of use varied extensively by coverage type and rurality. In metropolitan areas telemedicine visits were primarily direct-to-consumer services provided by nurse practitioners or physician assistants and covered by commercial insurance. In nonmetropolitan areas telemedicine use was chiefly real-time provider-initiated services delivered by physicians to publicly insured populations. Recent federal and state legislation that expanded coverage and increased provider reimbursement for telemedicine services could lead to expanded use of telemedicine, including novel approaches in new patient populations. |
| Databáze: | OpenAIRE |
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