Associations Between Sociodemographic Factors and Interest in Remote Patient Monitoring Among Arkansas Residents

<b>Introduction:</b> 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. <b>Methods:</b> 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. <b>Results:</b> 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). <b>Discussion:</b> 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.

Authors

Institutions

Publication Details

Journal
Telemedicine Journal and e-Health
Published
2024-08-23
DOI
https://doi.org/10.1089/tmj.2023.0557
Primary Topic
Telemedicine and Telehealth Implementation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Associations Between Sociodemographic Factors and Interest in Remote Patient Monitoring Among Arkansas Residents

Jennifer A. Andersen, James P. Selig, Cari A. Bogulski, Don E. Willis et al.
Telemedicine Journal and e-Health
Telemedicine and Telehealth Implementation
article

Associations Between Sociodemographic Factors and Interest in Remote Patient Monitoring Among Arkansas Residents

Jennifer A. Andersen, James P. Selig, Cari A. Bogulski, Don E. Willis, Dinesh Edem, Mahip Acharya, Pearl A. McElfish, Ji Li, Byron Marciniak, Surabhee Eswaran
article en

Abstract

<b>Introduction:</b> 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. <b>Methods:</b> 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. <b>Results:</b> 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). <b>Discussion:</b> 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.

Telemedicine Journal and e-HealthVol. 31(1)
Tulane University (US), University of Arkansas for Medical Sciences (US)
Openalex Percentile: Top 79%
Telemedicine and Telehealth Implementation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.