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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.
  • Peckham A; Center for Innovation in Healthy and Resilient Aging, Arizona State University, 550 North 3rd St, Phoenix, AZ, 85004, USA. Allie.peckham@asu.edu.
  • Pituch KA; Edson College of Nursing and Health Innovation, Arizona State University, 550 North 3rd St, Phoenix, AZ, 85004, USA. Allie.peckham@asu.edu.
  • Maxfield M; North American Observatory on Health Systems and Policies, University of Toronto, 155 College St, Toronto, ON, Canada. Allie.peckham@asu.edu.
  • Guest MA; Edson College of Nursing and Health Innovation, Arizona State University, 550 North 3rd St, Phoenix, AZ, 85004, USA.
  • Sivanandam S; Center for Innovation in Healthy and Resilient Aging, Arizona State University, 550 North 3rd St, Phoenix, AZ, 85004, USA.
  • Doebbeling BN; Edson College of Nursing and Health Innovation, Arizona State University, 550 North 3rd St, Phoenix, AZ, 85004, USA.
BMC Health Serv Res ; 21(1): 1355, 2021 Dec 19.
Article in English | MEDLINE | ID: covidwho-1910318
ABSTRACT

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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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: BMC Health Serv Res Journal subject: Health Services Research Year: 2021 Document Type: Article Affiliation country: S12913-021-07353-9

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Limits: Humans Language: English Journal: BMC Health Serv Res Journal subject: Health Services Research Year: 2021 Document Type: Article Affiliation country: S12913-021-07353-9