key: cord-259952-58q4ma92
authors: Ganson, Kyle T.; Weiser, Sheri D.; Tsai, Alexander C.; Nagata, Jason M.
title: Associations between Anxiety and Depression Symptoms and Medical Care Avoidance during COVID-19
date: 2020-09-01
journal: J Gen Intern Med
DOI: 10.1007/s11606-020-06156-8
sha: 
doc_id: 259952
cord_uid: 58q4ma92

nan

Since the outbreak of the novel coronavirus disease 2019 (COVID-19) pandemic, emergency health care utilization has acutely declined by 23% for heart attacks, 20% for strokes, and 10% for hyperglycemic crises. 1 Ambulatory visits have also declined by nearly 60%. 2 The lack of health care utilization is concerning as it may result in significant medical complications resulting from untreated medical problems. 1 Little is known about what is driving these declines in health care utilization. A study from Italy suggested that fear of COVID-19 infection may be one such factor. 3 Recent research has documented pervasive anxiety and depression during the COVID-19 pandemic. 4, 5 We conducted this study to estimate the association between mental health symptoms and medical care avoidance among US adults.

We analyzed data from June 11-June 16, 2020, of the weekly, cross-sectional Household Pulse Survey (HPS; n = 73,472) which is conducted by the US Census Bureau in collaboration with five other federal agencies to produce data on the social and economic impacts of COVID-19 among adults in the USA. The HPS questionnaire was reviewed by independent experts at the Center for Behavioral Science Methods, as well as the Demographic Directorate and subject matter representatives from the five partner federal agencies. To gather the sample, HPS used the Census Bureau's Master Address File as the primary sampling frame to collect responses from a large sample that is sufficient for the anticipated low responses rates. The Census Bureau used the online platform Qualtrics as the primary data collection method. See the Census Bureau website (https://www.census.gov/ householdpulsedata) for more information and access to publicly available data.

We fitted modified multivariable Poisson regression models to estimate the associations between four mental health symptoms (nervous, anxious, or on edge; not being able to stop or control worrying; little interest or pleasure in doing things; feeling down, depressed, or hopeless) in the past 7 days and medical care avoidance (delayed medical care; needed non-coronavirus medical care but did not get it) due to the coronavirus pandemic in the past 4 weeks. The use of robust estimates of variance permits straightforward interpretation of the exponentiated regression coefficients as risk ratios. We adjusted for potential confounding by age, sex, race/ethnicity, income, education, employment loss, and marital status. Nonresponse sample weighing was applied. Analyses were conducted using Stata 15.1.

Demographic and descriptive results are displayed in Table 1 . Individuals who experience all four symptoms of anxiety and depression had higher adjusted relative risk ratios of delayed medical care and not receiving needed non-coronavirus medical care, after adjustment for potential confounders (Table 2) . Individuals who were nervous, anxious, or on edge in the past 7 days had the highest adjusted relative risk ratio of delayed medical care (1.95, 95% CI 1.83-2.09) and the highest adjusted relative risk ratio of not receiving needed non-coronavirus medical care (2.08, 95% CI 1.93-2.25).

In this population-based study of US adults from June 11-16, 2020, we show that mental health symptoms are strongly correlated with medical care avoidance amidst the COVID-19 pandemic. Our results revealed significantly higher adjusted relative risk ratios of medical care avoidance among US adults who experience common symptoms of anxiety and depression. Importantly, our results show that individuals who experience these symptoms are more likely to avoid seeking non-coronavirus medical care despite needing it, which is concerning as delayed medical care may result in significant adverse short-and long-term health outcomes for many conditions. 1 Our results provide support for accurate and effective translation of knowledge to the public about the risks and benefits of seeking needed medical care during the ongoing COVID-19 pandemic. Of particular importance is the expansion of health insurance policies to cover telehealth services 6 and continued efforts to implement telehealth services to address non-emergency medical concerns. Additionally, a continued increase in telepsychiatry and telemental health services is needed to assist US adults in managing mental health symptoms for the duration of the COVID-19 pandemic. , the modified Poisson model permits interpretation of the exponentiated regression coefficients as risk ratios rather than incidence rate ratios. June 11-June 16, 2020 †"At any time in the last 4 weeks, did you DELAY getting medical care because of the coronavirus pandemic?" ‡"At any time in the last 4 weeks, did you need medical care for something other than coronavirus, but DID NOT GET IT because of the coronavirus pandemic?" § "Over the last 7 days, how often have you been bothered by the following problems ... Feeling nervous, anxious, or on edge?" ‖ "Over the last 7 days, how often have you been bothered by the following problems ... Not being able to stop or control worrying?" ¶ "Over the last 7 days, how often have you been bothered by ... having little interest or pleasure in doing things?" # "Over the last 7 days, how often have you been bothered by ... feeling down, depressed, or hopeless?"

Potential Indirect Effects of the COVID-19 Pandemic on Use of Emergency Departments for Acute Life-Threatening Conditions -United States

The Impact of the COVID-19 Pandemic on Outpatient Visits: A Rebound Emerges. The Commonwealth Fund

Delayed access or provision of care in Italy resulting from fear of COVID-19

COVID-19 and mental health: A review of the existing literature

The outbreak of COVID-19 coronavirus and its impact on global mental health

Telehealth for global emergencies: Implications for coronavirus disease 2019 (COVID-19)

We would like to thank Samuel Benabou for providing editorial assistance.