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1.
Am J Manag Care ; 27(4): e101-e104, 2021 04 01.
Artículo en Inglés | MEDLINE | ID: covidwho-2291232

RESUMEN

In public health insurance programs, federal and state regulators use network adequacy standards to ensure that health plans provide enrollees with adequate access to care. These standards are based on provider availability, anticipated enrollment, and patterns of care delivery. We anticipate that the coronavirus disease 2019 pandemic will have 3 main effects on provider networks and their regulation: enrollment changes, changes to the provider landscape, and changes to care delivery. Regulators will need to ensure that plans adjust their network size should there be increased enrollment or increased utilization caused by forgone care. Regulators will also require updated monitoring data and plan network data that reflect postpandemic provider availability. Telehealth will have a larger role in care delivery than in the prepandemic period, and regulators will need to adapt network standards to accommodate in-person and virtual care delivery.


Asunto(s)
COVID-19 , Planificación en Salud , Accesibilidad a los Servicios de Salud/normas , Cobertura del Seguro/normas , Seguro de Salud/normas , Sector Público , Intercambios de Seguro Médico , Humanos , Cobertura del Seguro/legislación & jurisprudencia , Cobertura del Seguro/organización & administración , Seguro de Salud/legislación & jurisprudencia , Seguro de Salud/organización & administración , Medicaid/legislación & jurisprudencia , Medicare/legislación & jurisprudencia , Estados Unidos
3.
Milbank Q ; 99(2): 542-564, 2021 06.
Artículo en Inglés | MEDLINE | ID: covidwho-1280253

RESUMEN

Policy Points We compared the structure of health care systems and the financial effects of the COVID-19 pandemic on health care providers in the United States, England, Germany, and Israel: systems incorporating both public and private insurers and providers. The negative financial effects on health care providers have been more severe in the United States than elsewhere, owing to the prevalence of activity-based payment systems, limited direct governmental control over available provider capacity, and the structure of governmental financial relief. In a pandemic, activity-based payment reverses the conventional financial positions of payers and providers and may prevent providers from prioritizing public health because of the desire to avoid revenue loss caused by declines in patient visits.


Asunto(s)
COVID-19/economía , Atención a la Salud/economía , COVID-19/epidemiología , COVID-19/terapia , Atención a la Salud/organización & administración , Inglaterra/epidemiología , Alemania/epidemiología , Humanos , Seguro de Salud/organización & administración , Israel/epidemiología , Pandemias/economía , Mecanismo de Reembolso/organización & administración , SARS-CoV-2 , Estados Unidos/epidemiología
5.
Psychiatr Serv ; 72(1): 100-103, 2021 01 01.
Artículo en Inglés | MEDLINE | ID: covidwho-1059742

RESUMEN

Because of the COVID-19 pandemic, many mental health care services have been shifted from face-to-face to virtual interactions. Several health policy changes have influenced telehealth uptake during this time, including changes in technology, Internet connectivity, prescriptions, and reimbursement for services. These changes have been implemented for the duration of the pandemic, and it is unclear if all, some, or none of these new or amended policies will be retained after the pandemic has ended. Accordingly, in the wake of changing policies, mental health care providers will need to make decisions about the future of their telehealth programs. This article briefly reviews telehealth policy changes due to the COVID-19 pandemic and highlights what providers should consider for future delivery and implementation of their telehealth programs.


Asunto(s)
COVID-19 , Prescripciones de Medicamentos , Seguro de Salud , Servicios de Salud Mental , Telemedicina , Continuidad de la Atención al Paciente , Prescripciones de Medicamentos/normas , Humanos , Seguro de Salud/legislación & jurisprudencia , Seguro de Salud/organización & administración , Seguro de Salud/normas , Reembolso de Seguro de Salud/legislación & jurisprudencia , Reembolso de Seguro de Salud/normas , Servicios de Salud Mental/legislación & jurisprudencia , Servicios de Salud Mental/organización & administración , Servicios de Salud Mental/normas , Telemedicina/legislación & jurisprudencia , Telemedicina/organización & administración , Telemedicina/normas , Estados Unidos
7.
Health Aff (Millwood) ; 39(10): 1822-1831, 2020 Oct.
Artículo en Inglés | MEDLINE | ID: covidwho-695660

RESUMEN

The recent coronavirus disease 2019 (COVID-19) global pandemic has resulted in unprecedented job losses in the United States, disrupting health insurance coverage for millions of people. Several models have predicted large increases in Medicaid enrollment among those who have lost jobs, yet the number of Americans who have gained coverage since the pandemic began is unknown. We compiled Medicaid enrollment reports covering the period from March 1 through June 1, 2020, for twenty-six states. We found that in these twenty-six states, Medicaid covered more than 1.7 million additional Americans in roughly a three-month period. Relative changes in Medicaid enrollment differed significantly across states, although enrollment growth was not systemically related to job losses. Our results point to the important effects of state policy differences in the response to COVID-19.


Asunto(s)
Infecciones por Coronavirus/epidemiología , Determinación de la Elegibilidad/estadística & datos numéricos , Empleo/estadística & datos numéricos , Cobertura del Seguro/estadística & datos numéricos , Medicaid/estadística & datos numéricos , Pandemias/estadística & datos numéricos , Neumonía Viral/epidemiología , COVID-19 , Estudios de Cohortes , Infecciones por Coronavirus/prevención & control , Bases de Datos Factuales , Determinación de la Elegibilidad/métodos , Empleo/economía , Femenino , Humanos , Incidencia , Seguro de Salud/organización & administración , Masculino , Pacientes no Asegurados/estadística & datos numéricos , Evaluación de Necesidades , Pandemias/prevención & control , Neumonía Viral/prevención & control , Estudios Retrospectivos , Medición de Riesgo , Factores de Tiempo , Estados Unidos
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