Literature DB >> 32631494

The Coronavirus Disease 2019 (COVID-19) Pandemic: A Patient-Centered Model of Systemic Shock and Cancer Care Adherence.

Ruth C Carlos1, Kathryn P Lowry2, Gelareh Sadigh3.   

Abstract

Entities:  

Mesh:

Year:  2020        PMID: 32631494      PMCID: PMC7266758          DOI: 10.1016/j.jacr.2020.05.032

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


× No keyword cloud information.
Systemic stressors, such as the 9/11 attack or the 2008 to 2009 financial crisis, result in multidimensional changes at multiple levels that influence health, survival, and health-related quality of life. Coronavirus disease 2019 (COVID-19) represents an unfortunate “natural experiment” in which the effects of these external stressors on patient outcomes can be assessed. First, COVID-19 created an economic crisis, with at least 36 million Americans filing for unemployment [1]. Fewer jobs result in less income and loss of insurance coverage, exacerbating health-related financial hardship especially in cancer patients. Second, the threat of COVID-19 is stressful among cancer patients and older individuals, who are at elevated risk for infection and poorer outcomes. Third, during the pandemic, people curtailed outside activities, and care institutions reduced nonurgent service availability. The World Health Organization previously outlined a multi-dimensional framework of adherence [2], which can be adapted for understanding care utilization during the current pandemic (Fig. 1 ). This model accounts for the patient-level factors and health system factors that independently influence care utilization, leading to patient-initiated or provider-initiated care delay or nonadherence. We adapted a model developed by Yabroff et al [3] that additionally integrates COVID-19-related changes at the national, state, or local levels interacting with patient-level and system-level characteristics to heighten or mitigate the risk of distress and financial hardship (Fig. 2 ).
Fig 1

Conceptual framework of dimensions of care nonadherence during coronavirus disease 2019 (COVID-19) pandemic (adapted from Sabate and the World Health Organization, 2003).

Fig 2

Conceptual model adapted from Yabroff et al [3]. COVID-19, coronavirus disease 2019; HRQOL, health-related quality of life.

Conceptual framework of dimensions of care nonadherence during coronavirus disease 2019 (COVID-19) pandemic (adapted from Sabate and the World Health Organization, 2003). Conceptual model adapted from Yabroff et al [3]. COVID-19, coronavirus disease 2019; HRQOL, health-related quality of life. Omnipresent media attention, shelter-at-home orders resulting in social isolation, state and local leadership distrust, and local COVID-19 infection rates induce distress in multiple domains (eg, anxiety, depression, or loneliness and can result in inappropriate coping behavior such as increased smoking or alcohol use). In addition, the emotional and financial distress from COVID-19 may result in care nonadherence as a maladaptive coping response [3].

COVID-19--Related Care Delay and Potential Disease Stage Shift

During the acute phase of the pandemic, health systems closed outpatient centers, delayed nonurgent care, and focused efforts on managing those with COVID-19, leading to predominantly provider-initiated care delays [4]. However, patients wary of COVID-19 have also self-restricted seeking medical attention even when necessary [5]. The net result has been a dramatic reduction in outpatient care volumes, which were reduced by 60% overall in April 2020 and remained 31% lower in May 2020 [6]. The impact on cancer screening services has been particularly profound: a recent white paper released by the Epic Health Research Network reported March 2020 utilization of breast, colon, and cervical cancer screening had declined by 94%, 86%, and 94%, respectively compared to average volumes from 2017-2020 [7]. Office visits with specialty providers has also declined. Oncology provider visits were nearly half between the first week of March and the first week of April 2020 and rebounded to only 74% of normal volumes by early May [6]. The full impact of these declines and delays in care is not yet known but is worrisome, as time to diagnosis and treatment initiation is known to predict worse disease and poorer cancer outcomes [8]. Cancer care encompasses cancer prevention and control behaviors, which may be sensitive to COVID-19 related distress or financial distress. For example, when multiple forms of screening exist, price sensitivity may steer patients preferentially to one screening test or another, either due to COVID-19-related insurance change or income loss. Specific to breast screening, as a US Prevention Service Task Force Grade B service, digital mammography is fully covered by all nongrandfathered plans (approximately 98% of the insurance market) under the Affordable Care Act; however, tomosynthesis may require a copayment determined by insurance benefits. Cost-based preference for digital mammography may result in false-positives that could have been avoided by tomosynthesis. As we transition into the recovery phase, we slowly reschedule delayed imaging cases, including cancer screening and surveillance, using expert guidelines to ensure that patients remain safe [9]. However, services delays will likely continue as radiology practices accommodate pent-up demand of previously delayed imaging, cope with current imaging needs, and decrease throughput to ensure appropriate distancing and disinfection measures. Patient-initiated nonadherence is also projected to persist even after reopening [10]. The economic toll of the pandemic will certainly constrain many patients’ financial resources and ability to afford out-of-pocket expenses of health care visits, including imaging. We hypothesize multiple factors beyond price sensitivity and cost of care influence continued patient-initiated care nonadherence for recommended routine and urgent care. Some patients may struggle with mistrust of information about the risks of infection and effectiveness of prevention measures because of inconsistent messaging between experts, local and national leadership. Leaders at all levels must address these concerns responsibly and safely. Otherwise, continued patient-initiated delays in seeking care may result in greater disease severity, complications, more difficult treatment after diagnosis and poorer outcomes.

Disparities in Care Nonadherence

As data continue to emerge, a disproportionate burden of infections, adverse outcomes, and deaths are borne by African Americans and Hispanics, particularly at the epicenter of the pandemic [11], providing an uncomfortable update on persistent disparities. Many of us are privileged to work from home even as essential workers, have reasonable sick leave policies, or have enough resources to accept a furlough. We are Internet-enabled with fast speeds that allow binge-watching our favorite mind candy or Zooming (Zoom, Vancouver, Washington) with friends and coworkers to maintain social contact and connection. Social determinants of health, which are broader determinants of wellness beyond race or income, include living situations (eg, high-density housing), access to care (eg, functional reliable public transit), and community (eg, socioeconomic status of the neighborhood), have assumed a greater prominence, and indicate additional populations with higher risks of COVID-19-related emotional and financial distress. Those who work or live where safe distancing is not possible or have 0-hour contracts with no guarantees of minimum work hours or sick leave may be more susceptible to emotional or financial distress and are more likely to forgo preventive or diagnostic care.

Moderators of Health Behavior and Care Utilization

Both conceptual models presented in this article indicate that psychosocial distress and financial distress have the potential to influence care nonadherence. Depression and social well-being (including loneliness and social connection) increase the probability of early discontinuation of endocrine therapy [12]. Insurance type [13] and insurance loss [14] even in the era of the Affordable Care Act result in decreased care access and increased care nonadherence. Cancer patients are at increased risk for financial hardship because of high out-of-pocket medical expenses and lost income caused by cancer and treatment. Financial hardship includes three main domains of material conditions (eg, medical debt), psychological responses (eg, financial worry), and coping behaviors (eg, care nonadherence) and is linked to worse health-related quality of life and survival. High out-of-pocket expenses lead to change, delay, or nonutilization of care including medication in 12%-75% of patients [15,16]. For patients in this vulnerable population, COVID-19-related financial hardship can exacerbate existing financial risk.

Promoting Resilience

Perceived self-efficacy, belief that one can perform difficult tasks to obtain desired outcomes, confers a sense of control to modify stressful environments [17] that can translate into resilience during COVID-19-related distress and financial hardship risks. Self-efficacy plays a moderating role in the relationship between depression and distress in cancer patients. Financial self-efficacy (ie, confidence in managing money) independently predicts financial hardship among cancer patients and their caregivers and among multiple sclerosis patients [18]. We posit that high general or financial self-efficacy predicts improved well-being [17] and lower prevalence of care nonadherence, promoting resilience during a systemic stressor that mitigates its deleterious effects. Institutional practices can also be structured to support patient self-efficacy.

Summary

COVID-19, like other pandemics and systemic shocks, affected the whole of society and led to a near-complete halt of economic activity and care provision focused on the most acute cases. Even after entering the recovery period, there remains a possibility of intermittent outbreaks. Information dissemination during the acute phase of the pandemic seemed to have been driven by ideology, half-truths and mistruths, leading to mistrust of institutions traditionally thought to be a public good. Further, perceptions of lack of protection from their employers and the literal risk of life to provide essential services, both within and outside the healthcare enterprise has further eroded belief in the system. Patients must make decisions to continue to engage in preventive, diagnostic, and therapeutic care, under conditions of uncertainty, possible mistrust, and infection fear. The economic consequences further challenge patients to afford care, even if they choose to participate. Civic leaders at all levels and healthcare systems, physicians and other providers must regain trust that will promote appropriate care utilization. In the prevention and management of cancer, the most worrisome consequence of care delay or nonadherence is later stage diagnosis or stage shift. The conceptual models provide a framework for future analyses of the ongoing consequences of COVID-19.
  8 in total

1.  Insurance Loss in the Era of the Affordable Care Act: Association With Access to Health Services.

Authors:  Ramin Mojtabai
Journal:  Med Care       Date:  2019-08       Impact factor: 2.983

2.  Pilot Feasibility Study of an Oncology Financial Navigation Program.

Authors:  Veena Shankaran; Tony Leahy; Jordan Steelquist; Kate Watabayashi; Hannah Linden; Scott Ramsey; Naomi Schwartz; Karma Kreizenbeck; Judy Nelson; Alan Balch; Erin Singleton; Kathleen Gallagher; Karen Overstreet
Journal:  J Oncol Pract       Date:  2017-12-22       Impact factor: 3.840

Review 3.  Understanding Financial Hardship Among Cancer Survivors in the United States: Strategies for Prevention and Mitigation.

Authors:  K Robin Yabroff; Cathy Bradley; Ya-Chen Tina Shih
Journal:  J Clin Oncol       Date:  2019-12-05       Impact factor: 44.544

4.  Time to Surgery and Breast Cancer Survival in the United States.

Authors:  Richard J Bleicher; Karen Ruth; Elin R Sigurdson; J Robert Beck; Eric Ross; Yu-Ning Wong; Sameer A Patel; Marcia Boraas; Eric I Chang; Neal S Topham; Brian L Egleston
Journal:  JAMA Oncol       Date:  2016-03       Impact factor: 31.777

5.  Pilot Feasibility Study of an Oncology Financial Navigation Program in Brain Cancer Patients.

Authors:  Gelareh Sadigh; Kathleen Gallagher; Jennifer Obenchain; Al Benson; Edith Mitchell; Soma Sengupta; Ruth C Carlos
Journal:  J Am Coll Radiol       Date:  2019-10       Impact factor: 5.532

6.  ACR Statement on Safe Resumption of Routine Radiology Care During the Coronavirus Disease 2019 (COVID-19) Pandemic.

Authors:  Matthew S Davenport; Michael A Bruno; Ramesh S Iyer; Amirh M Johnson; Ramses Herrera; Gregory N Nicola; Daniel Ortiz; Ivan Pedrosa; Bruno Policeni; Michael P Recht; Marc Willis; Margarita L Zuley; Stefanie Weinstein
Journal:  J Am Coll Radiol       Date:  2020-05-06       Impact factor: 5.532

7.  Coronavirus Disease 2019 (COVID-19) and Your Radiology Practice: Case Triage, Staffing Strategies, and Addressing Revenue Concerns.

Authors:  Christoph I Lee; Sabiha Raoof; Samir B Patel; Robert S Pyatt; David S Kirsch; Mahmud Mossa-Basha; Michael Recht; Ruth C Carlos
Journal:  J Am Coll Radiol       Date:  2020-04-27       Impact factor: 5.532

8.  Reduction in ST-Segment Elevation Cardiac Catheterization Laboratory Activations in the United States During COVID-19 Pandemic.

Authors:  Santiago Garcia; Mazen S Albaghdadi; Perwaiz M Meraj; Christian Schmidt; Ross Garberich; Farouc A Jaffer; Simon Dixon; Jeffrey J Rade; Mark Tannenbaum; Jenny Chambers; Paul P Huang; Timothy D Henry
Journal:  J Am Coll Cardiol       Date:  2020-04-10       Impact factor: 24.094

  8 in total
  8 in total

1.  Functional Impairments in the Mental Health, Depression and Anxiety Related to the Viral Epidemic, and Disruption in Healthcare Service Utilization among Cancer Patients in the COVID-19 Pandemic Era.

Authors:  Kyumin Kim; Harin Kim; Joohee Lee; Inn-Kyu Cho; Myung Hee Ahn; Ki Young Son; Jeong Eun Kim; Hee Jeong Kim; Sang Min Yoon; So Hee Kim; Moon Jung Kwon; Hwa Jung Kim; Su-Jin Koh; Seyoung Seo; Seockhoon Chung
Journal:  Cancer Res Treat       Date:  2021-09-17       Impact factor: 5.036

2.  Impact of the COVID-19 Pandemic on Cataract Surgeries in the United States.

Authors:  Kelly Vogel; Cole N Rojas; Paul B Greenberg; Curtis E Margo; Dustin D French
Journal:  Clin Ophthalmol       Date:  2022-05-25

3.  Disparities in the Use of In-Person and Telehealth Primary Care Among High- and Low-Risk Medicare Beneficiaries During COVID-19.

Authors:  Ying Jessica Cao; Dandi Chen; Yao Liu; Maureen Smith
Journal:  J Patient Exp       Date:  2021-12-13

4.  The Validation Study of the Stress and Anxiety to Viral Epidemics-6 Scale Among Patients With Cancer in the COVID-19 Pandemic.

Authors:  Hyeyeong Kim; Harin Kim; Hyuk Joo Lee; Eulah Cho; Su-Jin Koh; Oli Ahmed; Seockhoon Chung
Journal:  Front Psychiatry       Date:  2022-04-14       Impact factor: 4.157

5.  COVID-19 perceptions, impacts, and experiences: a cross-sectional analysis among New Jersey cancer survivors.

Authors:  Adana A M Llanos; Angela J Fong; Nabarun Ghosh; Katie A Devine; Denalee O'Malley; Lisa E Paddock; Elisa V Bandera; Shawna V Hudson; Andrew M Evens; Sharon L Manne
Journal:  J Cancer Surviv       Date:  2022-07-29       Impact factor: 4.062

6.  Effect of Cancer-Related Dysfunctional Beliefs About Sleep on Fear of Cancer Progression in the Coronavirus Pandemic.

Authors:  Harin Kim; Inn-Kyu Cho; Dongin Lee; Kyumin Kim; Joohee Lee; Eulah Cho; C Hyung Keun Park; Seockhoon Chung
Journal:  J Korean Med Sci       Date:  2022-09-19       Impact factor: 5.354

7.  Breast cancer patients' insurance status and residence zip code correlate with early discontinuation of endocrine therapy: An analysis of the ECOG-ACRIN TAILORx trial.

Authors:  Gelareh Sadigh; Robert J Gray; Joseph A Sparano; Betina Yanez; Sofia F Garcia; Lava R Timsina; George W Sledge; David Cella; Lynne I Wagner; Ruth C Carlos
Journal:  Cancer       Date:  2021-04-01       Impact factor: 6.921

8.  Changes in Health Services Use Among Commercially Insured US Populations During the COVID-19 Pandemic.

Authors:  Christopher M Whaley; Megan F Pera; Jonathan Cantor; Jennie Chang; Julia Velasco; Heather K Hagg; Neeraj Sood; Dena M Bravata
Journal:  JAMA Netw Open       Date:  2020-11-02
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.