| Literature DB >> 34895192 |
Emily B Levitan1, Virginia J Howard2, Mary Cushman3, Suzanne E Judd2, Stephanie E Tison2, Ya Yuan2, Debora Kamin Mukaz3, Henry E Wang4, Nathalie Pamir5, Timothy B Plante3, Stephen P Juraschek6, Monika M Safford7, Parag Goyal7.
Abstract
BACKGROUND: Understanding health care experiences during the COVID-19 pandemic may provide insights into patient needs and inform policy. The objective of this study was to describe health care experiences by race and social determinants of health.Entities:
Keywords: COVID-19; Health care access; Social determinants of health
Mesh:
Year: 2021 PMID: 34895192 PMCID: PMC8665704 DOI: 10.1186/s12889-021-12273-8
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Characteristics of REGARDS participants by self-report of illness with COVID-19 symptomsa
| Overall ( | Illness with COVID-19 symptoms | ||
|---|---|---|---|
| Yes ( | No ( | ||
| Age, y | 76.8 | 74.8 ± 7.3 | 77.0 ± 7.8 |
| Sex | |||
| Male | 4041 (42.6%) | 278 (39.9%) | 3763 (42.8%) |
| Female | 5451 (57.4%) | 419 (60.1%) | 5032 (57.2%) |
| Race | |||
| Black | 3416 (36.0%) | 238 (34.1%) | 3178 (36.1%) |
| White | 6076 (64.0%) | 459 (65.9%) | 5617 (63.9%) |
| Income < $35,000 | 2876 (30.3%) | 216 (31.0%) | 2660 (30.2%) |
| Unmarried | 3725 (39.2%) | 257 (36.9%) | 3468 (39.4%) |
| Less than high school education | 558 (5.9%) | 39 (5.6%) | 519 (5.9%) |
| Area-level poverty > 25% | 1488 (16.0%) | 116 (17.0%) | 1372 (15.9%) |
| Rural residence | 1584 (16.9%) | 133 (19.4%) | 1451 (16.7%) |
| Poor public health infrastructure | 3136 (33.0%) | 246 (35.3%) | 2890 (32.9%) |
| Medicaid non-expansion state | 5131 (54.1%) | 372 (53.4%) | 4759 (54.1%) |
| Higher residential segregation | 4744 (50.0%) | 323 (46.4%) | 4421 (50.3%) |
| Cigarette smoking | |||
| Current | 611 (6.4%) | 35 (5.0%) | 576 (6.6%) |
| Past | 3827 (40.3%) | 305 (43.8%) | 3522 (40.1%) |
| Never | 5049 (53.2%) | 356 (51.2%) | 4693 (53.4%) |
| BMI, kg/m2 | 29.4 | 30.5 | 29.3 |
| Diabetes | 2155 (22.7%) | 196 (28.1%) | 1959 (22.3%) |
| Hypertension | 6277 (66.1%) | 473 (67.9%) | 5804 (66.0%) |
| History of stroke | 574 (6.1%) | 46 (6.6%) | 528 (6.0%) |
| History of coronary heart disease | 1868 (19.7%) | 170 (24.4%) | 1698 (19.3%) |
| History of heart failure | 167 (1.8%) | 13 (1.9%) | 154 (1.8%) |
aNumbers in table are N (column %) or mean ± SD. There were missing data for education (n = 1), area-level poverty (n = 166), rural residence (n = 101), residential segregation (n = 7), cigarette smoking (n = 5), BMI (n = 6). Data were complete for all other variables
Fig. 1Race, social determinants of health, and SARS-CoV-2 testing among participants in the REasons for Geographic And Racial Differences in Stroke study who reported illness with symptoms of COVID-19
Fig. 2Race, social determinants of health, and SARS-CoV-2 testing among participants in the REasons for Geographic And Racial Differences in Stroke study who did not report illness with symptoms of COVID-19
Characteristics of REGARDS participants by subjective report of COVID-19 and report of results of testing for SARS-CoV-2a
| Positive SARS-CoV-2 test | Yes ( | No ( | |||
|---|---|---|---|---|---|
| Subjective report of COVID-19 | Yes ( | No ( | Yes ( | No ( | |
| Illness with COVID-19 symptoms | 171 (83.4%) | 23 (31.1%) | 100 (33.7%) | 403 (4.5%) | < 0.001 |
| Received SARS-CoV-2 testing | 205 (100%) | 74 (100%) | 140 (47.1%) | 2799 (31.4%) | < 0.001 |
| Age, y | 73.3 ± 7.1 | 77.6 ± 7.6 | 73.0 ± 7.3 | 77.0 ± 7.8 | < 0.001 |
| Sex | 0.01 | ||||
| Male | 91 (44.4%) | 25 (33.8%) | 102 (34.3%) | 3823 (42.9%) | |
| Female | 114 (55.6%) | 49 (66.2%) | 195 (65.7%) | 5093 (57.1%) | |
| Race | 0.003 | ||||
| Black | 76 (37.1%) | 42 (56.8%) | 105 (35.4%) | 3193 (35.8%) | |
| White | 129 (62.9%) | 32 (43.2%) | 192 (64.6%) | 5723 (64.2%) | |
| Income < $35,000 | 69 (33.7%) | 30 (40.5%) | 92 (31.0%) | 2685 (30.1%) | 0.23 |
| Unmarried | 67 (32.7%) | 36 (48.7%) | 115 (38.7%) | 3507 (39.3%) | 0.09 |
| Less than high school education | 12 (5.9%) | 10 (1.8%) | 18 (6.1%) | 518 (5.8%) | 0.048 |
| Area-level poverty > 25% | 48 (23.8%) | 12 (16.9%) | 45 (15.4%) | 1383 (15.8%) | 0.02 |
| Rural residence | 48 (23.9%) | 15 (20.5%) | 52 (17.8%) | 1469 (16.6%) | 0.04 |
| Poor public health infrastructure | 81 (39.5%) | 28 (37.8%) | 105 (35.4%) | 2922 (32.8%) | 0.13 |
| Medicaid non-expansion state | 112 (54.6%) | 51 (68.9%) | 150 (50.5%) | 4818 (54.0%) | 0.04 |
| Higher neighborhood segregation | 94 (45.9%) | 37 (50.0%) | 158 (53.2%) | 4455 (50.0%) | 0.45 |
| Cigarette smoking | 0.56 | ||||
| Current | 13 (6.4%) | 6 (8.1%) | 15 (5.1%) | 557 (6.5%) | |
| Past | 90 (44.1%) | 29 (39.2%) | 109 (36.7%) | 3599 (40.4%) | |
| Never | 101 (49.5%) | 39 (52.7%) | 173 (58.3%) | 4736 (53.1%) | |
| BMI, kg/m2 | 30.8 ± 7.4 | 30.3 ± 6.2 | 30.7 ± 6.8 | 29.3 ± 6.4 | < 0.001 |
| Diabetes | 63 (30.7%) | 18 (24.3%) | 68 (22.9%) | 2006 (22.5%) | 0.049 |
| Hypertension | 134 (65.4%) | 53 (71.6%) | 184 (62.0%) | 5906 (66.2%) | 0.33 |
| History of stroke | 13 (6.3%) | 4 (5.4%) | 18 (6.1%) | 539 (6.1%) | 0.99 |
| History of coronary heart disease | 43 (21.0%) | 16 (21.6%) | 60 (20.2%) | 1749 (19.6%) | 0.93 |
| History of heart failure | 2 (1.0%) | 3 (4.1%) | 5 (1.7%) | 157 (1.8%) | 0.39 |
aNumbers in table are N (column %) or mean ± SD
bComparison across 4 groups defined by positive SARS-CoV-2 and subjective report of COVID-19, using chi-squared tests for categorical variables and ANOVA for continuous variables
Fig. 3Social determinants of health and impact of the COVID-19 pandemic on access to care among participants in the REasons for Geographic And Racial Differences in Stroke study. Survey options were “No change”, “Mild. Appointments moved to telehealth”, “Moderate. Delays or cancellations in appointments and/or delays in getting prescriptions; changes have minimal impact on health.”, and “Severe. Unable to access needed care resulting in moderate to severe impact on health”