| Literature DB >> 35501037 |
Jenney R Lee1, Courtney Segal2, Jake Howitt3, Sarah O Lawrence4, Josephine Grima5, Kim Eagle6, Karen Woo7, Peter Byers8, Eva Klein-Rogers9, Dianna Milewicz10, Firas Mussa11, Timo Soderlund3, Novelette Cotter3, Melanie Case3, Debra Trotter3, Sherene Shalhub4.
Abstract
Aortic dissection (AD) is a life-threatening rare disease that occurs as a spontaneous tear in the wall of the aorta. Survivors of AD go on to have a chronic disease process that requires lifelong follow-up and management. Although the COVID-19 pandemic has strained health systems and impacted practice in the United States, the effects of these impacts on people living with or at risk for AD is not well understood. This mixed methods project examined the experiences of people in the AD community during the COVID-19 pandemic between March and October 2020. Results reveal that the AD community lacked clear guidance on the role aortic health status plays in COVID-19 risk and experienced significant disruptions in aortic healthcare. At the same time, the new expansion in access to medical care with telehealth conferred unforeseen benefits in the form of reduced barriers for access to specialized aortic health care.Entities:
Mesh:
Year: 2022 PMID: 35501037 PMCID: PMC8864810 DOI: 10.1053/j.semvascsurg.2022.02.006
Source DB: PubMed Journal: Semin Vasc Surg ISSN: 0895-7967 Impact factor: 1.222
– Demographic characteristics of survey and interview participants.
| Characteristic | Survey, n (%) | Interviews, n (%) | ||
|---|---|---|---|---|
| Patients (n = 416) | Care partners | Patients (n = 17) | Care partners | |
| AD diagnosis | ||||
| Type A | 83 (20) | 7 (9) | 4 (24) | 0 |
| Type B | 100 (24) | 10 (14) | 4 (24) | 3 (50) |
| Type unknown | 73 (18) | 15 (20) | 2 (12) | 0 |
| At risk | 202 (49) | 45 (61) | 8 (47) | 3 (50) |
| Risk condition | ||||
| Bicuspid aortic valve | 16 (8) | 1 (2) | 1 (13) | 1 (17) |
| Family history | 79 (39) | 9 (20) | 3 (38) | 0 |
| Loeys-Dietz syndrome | 22 (11) | 4 (9) | 1 (13) | 0 |
| Marfan syndrome | 116 (57) | 25 (56) | 1 (13) | 2 (33) |
| Vascular Ehlers–Danlos syndrome | 25 (12) | 9 (20) | 2 (25) | 1 (17) |
| Other | 30 (15) | 3 (7) | 0 | 0 |
| US region | ||||
| West | 119 (27) | 18 (24) | 5 (29) | 2 (33) |
| Midwest | 101 (24) | 23 (31) | 4 (24) | 2 (33) |
| Northeast | 76 (18) | 10 (14) | 5 (29) | 1 (17) |
| South | 118 (28) | 23 (31) | 3 (18) | 1 (17) |
| Unknown | 2 (0.4) | 0 | 0 | 0 |
| Residence | ||||
| Urban | 85 (20) | 17 (23) | 3 (18) | 3 (50) |
| Suburban | 153 (37) | 23 (31) | 6 (35) | 3 (50) |
| Exurban | 118 (28) | 22 (30) | 7 (41) | 0 |
| Rural | 60 (14) | 12 (16) | 1 (6) | 0 |
| Age | ||||
| <18 y | NA | 28 (39) | n/a | 3 (50) |
| 18–40 y | 123 (30) | 23 (31) | 7 (41) | 1 (17) |
| 40–59 y | 186 (45) | 17 (23) | 6 (35) | 1 (17) |
| 60–79 y | 105 (25) | 10 (14) | 4 (24) | 1 (17) |
| NA | 2 (0.4 | 0 | 0 | 0 |
| Sex/gender | ||||
| Female | 283 (68) | 21 (28) | 12 (71) | 3 (50) |
| Male | 130 (31) | 53 (72) | 5 (29) | 3 (50) |
| NA | 2 (0.4) | 0 | 0 | 0 |
| Trans/nonbinary | 7 (2) | NA | 0 | NA |
| Race/ethnicity | ||||
| American Indian or other Indigenous | 3 (0.7) | 1 (1) | 1 (6) | 1 (17) |
| Asian | 13 (3) | 1 (1) | 2 (12) | 0 |
| Black or African American | 12 (3) | 4 (5) | 2 (12) | 0 |
| Latinx or Hispanic | 17 (4) | 5 (7) | 4 (24) | 1 (17) |
| Middle Eastern or North African | 2 (0.5) | 0 | 1 (6) | 0 |
| Native Hawaiian or Pacific Islander | 1 (0.1) | 0 | 0 | 0 |
| White | 369 (89) | 68 (92) | 10 (59) | 6 (75) |
| Multiracial or multiethnic | 14 (3) | 5 (7) | 3 (18) | 2 (33) |
| NA | 10 (2) | 0 | 0 | 0 |
| Other | 4 (1) | 0 | 0 | 0 |
NA, not applicable.
Care partner responses reflect the family member in question.
Respondents were able to enter more than one response in this category.
Only collected for respondents at risk for AD; survey: patients n = 202, care partners n = 45, interviews: patients n = 8, care partners n = 3.
In surveys, four care partner respondents listed ages for two family members.
Synthesized findings from survey and interview results.
| Theme | Survey | Interviews | Synthesized Finding |
|---|---|---|---|
| Theme 1: Navigating risk, coping with uncertainty | Risk for contracting COVID-19 (%) | “[T]he general response that we've gotten [is he's] not at high risk, or likely not at high risk. But we just don't know enough about this to really know that. So, I'm more concerned about that, and I'm very conservative in terms of keeping safe and not being around others.” - CP | Uncertainty associated with the lack of available guidance from reliable sources on whether having or being at risk for AD constitutes a risk condition for COVID-19. Individuals in the AD community have widely adopted protective behaviors that are in line with public health guidance on mitigating risk for COVID-19. These behaviors serve to reduce actual/potential risk and serve as a mechanism for allaying the anxiety produced by lack of clear guidance on risk status. |
| Theme 2: Increased burden and complexity of care | Clinic appointments cancelled (%) | “So, I didn't get to do my test that day, and then it was this whole fiasco of getting clearance and all of this . . . which just increases my anxiety. I keep reminding myself ‘If my dissection extended . . . we're doing what they would do to medically manage it anyway.’” - Pt | Individuals in the AD community report that before the COVID-19 pandemic, the environment in which they and their family members navigated and accessed care was marked by a high level of complexity. The COVID-19 pandemic presents new challenges and barriers to accessing care, resulting in increased burdens on individuals to navigate this complex environment in order to maintain their aortic health. |
| Theme 3: Reducing barriers to care with telehealth | Telehealth Satisfaction Scale (%) | “The telehealth appointments this year were a reprieve from some of the traveling. . . . They are really super helpful, even if it's a local doctor, when you have a kid who has all of these doctors . . . I think that COVID pushed the health care system into doing it, and I hope that it sticks around a bit.” - CP | Telehealth played a key role in the AD community maintaining access to care during COVID-19–related care disruptions. Access to telehealth also reduced some of the unique geographic, economic, and time-related barriers at-risk/patients with AD face under nonpandemic conditions. Specific circumstance may call for in-person care, such as at times of complex treatment decision making. |
Abbreviations: AD, aortic dissection; CP, care partner; ER, emergency room; Pt, patient; TH, telehealth; U/S, unsure.
Implications for policy, practice, and research by theme.
| Theme | Recommendations for policy, practice, and research |
|---|---|
| Theme 1: Navigating risk, coping with uncertainty | Improve communication about what is known and what remains unknown about aortic health status risk for COVID-19. |
| Develop guidance specific to rare disease risk for COVID-19, including for AD and conditions that predispose for AD. | |
| Encourage funding agencies to direct funds to study the impacts of COVID-19 on people with rare disease and AD. | |
| Add COVID-19-related data to current and future research projects on aortopathy/AD to build datasets that can contribute to knowledge generation. | |
| Theme 2: Increased burden and complexity of care | Develop safety-net strategies to ensure continuity of care for clinically fragile patients with AD during times of uncertainty or disruption. |
| Implement strategies to maintain communications/relationships between patients and their care providers when facing delays in appointments/procedures for all patients with AD regardless of clinical status. | |
| Identify and address the psychological impacts of delayed care on patients and prioritize contact with those who may be more susceptible to anxiety. | |
| Theme 3: Reducing barriers to care with telehealth | Develop federal and state policy that will ensure continued access to telehealth for aortic health–related care. |
| Increase access to telehealth for aortic health as a strategy to reduce geographic, economic, and time-related barriers to care. | |
| Address the remaining logistical challenges (eg, provider licensure and billing) that are currently inherent to the wide-scale provision of telehealth services. | |
| Assess what models for telehealth produce improved outcomes for aortic health, with a focus on patient-centered models that consider individual contexts and preferences for in-person versus telehealth care. |
Abbreviation: AD, aortic dissection.