Cargando…
Telehealth utilization in U.S. medicare beneficiaries aged 65 years and older during the COVID-19 pandemic
BACKGROUND: The COVID-19 pandemic has become a serious public health concern for older adults and amplified the value of deploying telehealth solutions. The purpose of this study was to investigate telehealth offered by providers among U.S. Medicare beneficiaries aged 65 years and older during the C...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942377/ https://www.ncbi.nlm.nih.gov/pubmed/36803677 http://dx.doi.org/10.1186/s12889-023-15263-0 |
_version_ | 1784891486715772928 |
---|---|
author | Lu, Min Liao, Xinyi |
author_facet | Lu, Min Liao, Xinyi |
author_sort | Lu, Min |
collection | PubMed |
description | BACKGROUND: The COVID-19 pandemic has become a serious public health concern for older adults and amplified the value of deploying telehealth solutions. The purpose of this study was to investigate telehealth offered by providers among U.S. Medicare beneficiaries aged 65 years and older during the COVID-19 pandemic. METHODS: This cross-sectional study analyzed Medicare beneficiaries aged 65 years and older using data from the Medicare Current Beneficiary Survey, Winter 2021 COVID-19 Supplement ([Formula: see text] ). We identified variables that were associated with telehealth offered by primary care physicians and beneficiaries’ access to the Internet through a multivariate classification analysis utilizing Random Forest machine learning techniques. FINDINGS: For study participants interviewed by telephone, 81.06% of primary care providers provided telehealth services, and 84.62% of the Medicare beneficiaries had access to the Internet. The survey response rates for each outcome were 74.86% and 99.55% respectively. The two outcomes were positively correlated ([Formula: see text] ). The Our machine learning model predicted the outcomes accurately utilizing 44 variables. Residing area and race/ethnicity were most informative for predicting telehealth coverage, and Medicare-Medicaid dual eligibility and income were most informative for predicting Internet access. Other strong correlates included age, ability to access basic needs and certain mental and physical health conditions. Interactions were found among statuses of residing area, age, Medicare Advantage and heart conditions that intensified the disparity of outcomes. CONCLUSIONS: We found that telehealth offered by providers likely increased during the COVID-19 pandemic for older beneficiaries, providing important access to care for certain subgroups. Policymakers must continue to identify effective means of delivering telehealth services, modernize the framework of regulatory, accreditation and reimbursement, and address disparities in access to telehealth with a particular focus on underserved communities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15263-0. |
format | Online Article Text |
id | pubmed-9942377 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-99423772023-02-22 Telehealth utilization in U.S. medicare beneficiaries aged 65 years and older during the COVID-19 pandemic Lu, Min Liao, Xinyi BMC Public Health Research BACKGROUND: The COVID-19 pandemic has become a serious public health concern for older adults and amplified the value of deploying telehealth solutions. The purpose of this study was to investigate telehealth offered by providers among U.S. Medicare beneficiaries aged 65 years and older during the COVID-19 pandemic. METHODS: This cross-sectional study analyzed Medicare beneficiaries aged 65 years and older using data from the Medicare Current Beneficiary Survey, Winter 2021 COVID-19 Supplement ([Formula: see text] ). We identified variables that were associated with telehealth offered by primary care physicians and beneficiaries’ access to the Internet through a multivariate classification analysis utilizing Random Forest machine learning techniques. FINDINGS: For study participants interviewed by telephone, 81.06% of primary care providers provided telehealth services, and 84.62% of the Medicare beneficiaries had access to the Internet. The survey response rates for each outcome were 74.86% and 99.55% respectively. The two outcomes were positively correlated ([Formula: see text] ). The Our machine learning model predicted the outcomes accurately utilizing 44 variables. Residing area and race/ethnicity were most informative for predicting telehealth coverage, and Medicare-Medicaid dual eligibility and income were most informative for predicting Internet access. Other strong correlates included age, ability to access basic needs and certain mental and physical health conditions. Interactions were found among statuses of residing area, age, Medicare Advantage and heart conditions that intensified the disparity of outcomes. CONCLUSIONS: We found that telehealth offered by providers likely increased during the COVID-19 pandemic for older beneficiaries, providing important access to care for certain subgroups. Policymakers must continue to identify effective means of delivering telehealth services, modernize the framework of regulatory, accreditation and reimbursement, and address disparities in access to telehealth with a particular focus on underserved communities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15263-0. BioMed Central 2023-02-20 /pmc/articles/PMC9942377/ /pubmed/36803677 http://dx.doi.org/10.1186/s12889-023-15263-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Lu, Min Liao, Xinyi Telehealth utilization in U.S. medicare beneficiaries aged 65 years and older during the COVID-19 pandemic |
title | Telehealth utilization in U.S. medicare beneficiaries aged 65 years and older during the COVID-19 pandemic |
title_full | Telehealth utilization in U.S. medicare beneficiaries aged 65 years and older during the COVID-19 pandemic |
title_fullStr | Telehealth utilization in U.S. medicare beneficiaries aged 65 years and older during the COVID-19 pandemic |
title_full_unstemmed | Telehealth utilization in U.S. medicare beneficiaries aged 65 years and older during the COVID-19 pandemic |
title_short | Telehealth utilization in U.S. medicare beneficiaries aged 65 years and older during the COVID-19 pandemic |
title_sort | telehealth utilization in u.s. medicare beneficiaries aged 65 years and older during the covid-19 pandemic |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942377/ https://www.ncbi.nlm.nih.gov/pubmed/36803677 http://dx.doi.org/10.1186/s12889-023-15263-0 |
work_keys_str_mv | AT lumin telehealthutilizationinusmedicarebeneficiariesaged65yearsandolderduringthecovid19pandemic AT liaoxinyi telehealthutilizationinusmedicarebeneficiariesaged65yearsandolderduringthecovid19pandemic |