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Associations Between Sociodemographic Factors And Interest in Remote Patient Monitoring Among Arkansas Residents.
Andersen, Jennifer A; Bogulski, Cari A; Eswaran, Surabhee; Willis, Don E; Acharya, Mahip; Li, Ji; Marciniak, Byron; Edem, Dinesh; Selig, James P; McElfish, Pearl A.
Afiliación
  • Andersen JA; College of Medicine, University of Arkansas for Medical Sciences Northwest, Springdale, Arkansas, USA.
  • Bogulski CA; College of Medicine, University of Arkansas for Medical Sciences Northwest, Fayetteville, Arkansas, USA.
  • Eswaran S; Department of Environmental Studies, Tulane University, New Orleans, Louisiana, USA.
  • Willis DE; College of Medicine, University of Arkansas for Medical Sciences Northwest, Springdale, Arkansas, USA.
  • Acharya M; Institute for Digital Health & Innovation, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
  • Li J; Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences Northwest, Springdale, Arkansas, USA.
  • Marciniak B; College of Medicine, University of Arkansas for Medical Sciences Northwest, Fayetteville, Arkansas, USA.
  • Edem D; College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
  • Selig JP; Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences Northwest, Springdale, Arkansas, USA.
  • McElfish PA; College of Medicine, University of Arkansas for Medical Sciences Northwest, Springdale, Arkansas, USA.
Telemed J E Health ; 2024 Aug 23.
Article en En | MEDLINE | ID: mdl-39178127
ABSTRACT

Introduction:

Remote patient monitoring (RPM) has the power to transform health care delivery, as it allows for the digital transmission of individual health data to health care professionals, providing the most up-to-date information to be able to make medical decisions. Although RPM use has grown exponentially during the pandemic, there is limited information on the association between sociodemographic characteristics and interest in RPM use in underserved areas of the United States after the onset of the pandemic.

Methods:

We conducted a survey via random digit dialing of 2201 adults living in Arkansas in March of 2022. Weighted estimates were generated using rank ratio estimation to approximate the 2019 American Community Survey 1-year Arkansas estimates for race/ethnicity, age, and gender. We fit a partial proportional odds model using weighted generalized ordered logistic regression to examine adjusted odds ratios (ORs) for interest in RPM. Predictors included sociodemographic characteristics, nativity, health care access, and self-rated health.

Results:

Results indicate respondents who were age 60 or older had lower odds of interest in RPM than those between the ages 18-39 (OR = 0.61). Hispanic adults had lower odds of reporting interest in RPM (OR = 0.68), and non-Hispanic adults of other races/ethnicities had lower odds of reporting any interest at all (OR = 0.67) or interest greater than a little (OR = 0.67) in RPM compared with non-Hispanic White respondents. However, respondents who had previously used telehealth had greater odds of reporting higher levels of interest in RPM than those who had not previously used it (OR = 1.93).

Discussion:

Interest in RPM use is associated with several sociodemographic factors. Future work is needed to understand and address RPM reluctance and to increase interest in RPM among marginalized and underserved populations who may need these services.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Telemed J E Health Asunto de la revista: INFORMATICA MEDICA / SERVICOS DE SAUDE Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Telemed J E Health Asunto de la revista: INFORMATICA MEDICA / SERVICOS DE SAUDE Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos