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Aging through the time of COVID-19: a survey of self-reported healthcare access

BACKGROUND: Chronic conditions are common and require ongoing continuous management and preventive measures. The COVID-19 pandemic may have affected the management of chronic conditions by delaying care. We sought to understand the impact of personal characteristics (i.e., age) and healthcare factor...

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Autores principales: Peckham, Allie, Pituch, Keenan A., Maxfield, Molly, Guest, M. Aaron, Sivanandam, Shalini, Doebbeling, Bradley N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8684589/
https://www.ncbi.nlm.nih.gov/pubmed/34923964
http://dx.doi.org/10.1186/s12913-021-07353-9
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author Peckham, Allie
Pituch, Keenan A.
Maxfield, Molly
Guest, M. Aaron
Sivanandam, Shalini
Doebbeling, Bradley N.
author_facet Peckham, Allie
Pituch, Keenan A.
Maxfield, Molly
Guest, M. Aaron
Sivanandam, Shalini
Doebbeling, Bradley N.
author_sort Peckham, Allie
collection PubMed
description BACKGROUND: Chronic conditions are common and require ongoing continuous management and preventive measures. The COVID-19 pandemic may have affected the management of chronic conditions by delaying care. We sought to understand the impact of personal characteristics (i.e., age) and healthcare factors (i.e., access to a provider) on healthcare access in a sample of Americans 50 years of age or older during COVID-19. METHOD: Participants completed an online survey at the start of the COVID-19 pandemic – the Aging in the Time of COVID Survey. Questions focused on health status, health care access, COVID-19 fear, and social connectedness. Participants were recruited through social media advertisements, list serves, and snowball sampling. Data collection started in early April 2020 and concluded in late May 2020. Logistic regression models examined the results of two key access points: healthcare provider/doctor (n = 481) and medication (n = 765), with 56 and 93% of participants reporting access to a provider and medications, respectively. RESULTS: Individuals with an established primary care provider were much more likely to obtain access to a healthcare provider, OR = 3.81 (95% CI: 1.69, 8.77), and to receive medication, OR = 4.48 (95% CI: 1.61, 11.48), during the time of COVID-19. In addition, access to medication was (a) higher for those who were older, OR = 1.05 (95% CI: 1.01, 1.09), had a higher income (greater than 100 k compared to less than 50 k, OR = 3.04 (95% CI: 1.11, 8.98), and (b) lower for those having caregiving responsibilities, OR = 0.41 (95% CI: 0.21, 0.78), or greater social isolation, OR = 0.93 (95% CI: 0.87, 0.98). CONCLUSIONS: Although most participants had access to medication, just over half had access to a healthcare provider when needed. Notably, health-seeking behaviors for individuals who do not have an established primary care providers as well as those who provide unpaid care, are socially isolated, and younger may require more proactive approaches to care monitoring, management, and maintenance.
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spelling pubmed-86845892021-12-20 Aging through the time of COVID-19: a survey of self-reported healthcare access Peckham, Allie Pituch, Keenan A. Maxfield, Molly Guest, M. Aaron Sivanandam, Shalini Doebbeling, Bradley N. BMC Health Serv Res Research BACKGROUND: Chronic conditions are common and require ongoing continuous management and preventive measures. The COVID-19 pandemic may have affected the management of chronic conditions by delaying care. We sought to understand the impact of personal characteristics (i.e., age) and healthcare factors (i.e., access to a provider) on healthcare access in a sample of Americans 50 years of age or older during COVID-19. METHOD: Participants completed an online survey at the start of the COVID-19 pandemic – the Aging in the Time of COVID Survey. Questions focused on health status, health care access, COVID-19 fear, and social connectedness. Participants were recruited through social media advertisements, list serves, and snowball sampling. Data collection started in early April 2020 and concluded in late May 2020. Logistic regression models examined the results of two key access points: healthcare provider/doctor (n = 481) and medication (n = 765), with 56 and 93% of participants reporting access to a provider and medications, respectively. RESULTS: Individuals with an established primary care provider were much more likely to obtain access to a healthcare provider, OR = 3.81 (95% CI: 1.69, 8.77), and to receive medication, OR = 4.48 (95% CI: 1.61, 11.48), during the time of COVID-19. In addition, access to medication was (a) higher for those who were older, OR = 1.05 (95% CI: 1.01, 1.09), had a higher income (greater than 100 k compared to less than 50 k, OR = 3.04 (95% CI: 1.11, 8.98), and (b) lower for those having caregiving responsibilities, OR = 0.41 (95% CI: 0.21, 0.78), or greater social isolation, OR = 0.93 (95% CI: 0.87, 0.98). CONCLUSIONS: Although most participants had access to medication, just over half had access to a healthcare provider when needed. Notably, health-seeking behaviors for individuals who do not have an established primary care providers as well as those who provide unpaid care, are socially isolated, and younger may require more proactive approaches to care monitoring, management, and maintenance. BioMed Central 2021-12-19 /pmc/articles/PMC8684589/ /pubmed/34923964 http://dx.doi.org/10.1186/s12913-021-07353-9 Text en © The Author(s) 2021 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
Peckham, Allie
Pituch, Keenan A.
Maxfield, Molly
Guest, M. Aaron
Sivanandam, Shalini
Doebbeling, Bradley N.
Aging through the time of COVID-19: a survey of self-reported healthcare access
title Aging through the time of COVID-19: a survey of self-reported healthcare access
title_full Aging through the time of COVID-19: a survey of self-reported healthcare access
title_fullStr Aging through the time of COVID-19: a survey of self-reported healthcare access
title_full_unstemmed Aging through the time of COVID-19: a survey of self-reported healthcare access
title_short Aging through the time of COVID-19: a survey of self-reported healthcare access
title_sort aging through the time of covid-19: a survey of self-reported healthcare access
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8684589/
https://www.ncbi.nlm.nih.gov/pubmed/34923964
http://dx.doi.org/10.1186/s12913-021-07353-9
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