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How Does Telehealth Expansion Change Access to Healthcare for Patients With Different Types of Substance Use Disorders?
Tilhou, Alyssa Shell; Burns, Marguerite; Chachlani, Preeti; Chen, Ying; Dague, Laura.
Afiliação
  • Tilhou AS; Department of Family Medicine, Boston University Medical Center, Boston, MA, USA.
  • Burns M; Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
  • Chachlani P; Institute for Research on Poverty, University of Wisconsin-Madison, Madison, WI, USA.
  • Chen Y; Department of Risk and Insurance, Wisconsin School of Business, University of Wisconsin-Madison, Madison, WI, USA.
  • Dague L; The Bush School of Government and Public Service, Texas A&M University, College Station, TX, USA.
Subst Use Addctn J ; 45(3): 473-485, 2024 Jul.
Article em En | MEDLINE | ID: mdl-38494728
ABSTRACT

BACKGROUND:

Patients with substance use disorders (SUDs) exhibit low healthcare utilization despite high medical need. Telehealth could boost utilization, but variation in uptake across SUDs is unknown.

METHODS:

Using Wisconsin Medicaid enrollment and claims data from December 1, 2018, to December 31, 2020, we conducted a cohort study of telemedicine uptake in the all-ambulatory and the primary care setting during telehealth expansion following the COVID-19 public health emergency (PHE) onset (March 14, 2020). The sample included continuously enrolled (19 months), nonpregnant, nondisabled adults aged 19 to 64 years with opioid (OUD), alcohol (AUD), stimulant (StimUD), or cannabis (CannUD) use disorder or polysubstance use (PSU).

Outcomes:

total and telehealth visits in the week, and fraction of visits in the week completed by telehealth. Linear and fractional regression estimated changes in in-person and telemedicine utilization. We used regression coefficients to calculate the change in telemedicine utilization, the proportion of in-person decline offset by telemedicine uptake ("offset"), and the share of visits completed by telemedicine ("share").

RESULTS:

The cohort (n = 16 756) included individuals with OUD (34.8%), AUD (30.1%), StimUD (9.5%), CannUD (9.5%), and PSU (19.7%). Total and telemedicine utilization varied by group post-PHE. All-ambulatory total visits dropped for all, then rose above baseline for OUD, PSU, and AUD. Telehealth expansion was associated with visit increases OUD 0.489, P < .001; PSU 0.341, P < .001; StimUD 0.160, P < .001; AUD 0.132, P < .001; CannUD 0.115, P < .001. StimUD exhibited the greatest telemedicine share. Primary care total visits dropped for all, then recovered for OUD and CannUD. Telemedicine visits rose most for PSU 0.021, P < .001; OUD 0.019, P < .001; CannUD 0.011, P < .001; AUD 0.010, P < .001; StimUD 0.009, P < .001. PSU and OUD exhibited the greatest telemedicine share, while StimUD exhibited the lowest. Telemedicine fully offset declines for OUD only.

CONCLUSIONS:

Telehealth expansion helped maintain utilization for OUD and PSU; StimUD and CannUD showed less responsiveness. Telehealth expansion could widen gaps in utilization by SUD type.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Medicaid / Telemedicina / Transtornos Relacionados ao Uso de Substâncias / COVID-19 / Acessibilidade aos Serviços de Saúde Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Medicaid / Telemedicina / Transtornos Relacionados ao Uso de Substâncias / COVID-19 / Acessibilidade aos Serviços de Saúde Idioma: En Ano de publicação: 2024 Tipo de documento: Article