| Literature DB >> 34461136 |
Nadia Diamond-Smith1, Rachel Logan2, Cassondra Marshall3, Chiara Corbetta-Rastelli4, Sirena Gutierrez5, Aliza Adler4, Jennifer Kerns4.
Abstract
INTRODUCTION: Structural inequities may impact the relationship between COVID-19 and access to contraception.Entities:
Keywords: Barriers; COVID-19; Contraception; Economics; Race/ethnicity
Mesh:
Year: 2021 PMID: 34461136 PMCID: PMC8570759 DOI: 10.1016/j.contraception.2021.08.011
Source DB: PubMed Journal: Contraception ISSN: 0010-7824 Impact factor: 3.375
Fig. 1Sample advertisement for recruitment on Facebook.
Characteristics of respondents to an online survey in United States, 2020-21
| Early-COVID-19 pandemic (July 2020) | Mid-COVID-19 pandemic (Jan 2021) | Total | |
|---|---|---|---|
| Age group | |||
| <=20 | 178 (5.8) | 111 (4.9) | 289 (5.4) |
| 21-29 | 1234 (40.3) | 811 (35.6) | 2045 (38.3) |
| 30-39 | 1316 (43) | 1034 (45.4) | 2350 (44) |
| 40+ | 336 (11) | 320 (14.1) | 656 (12.3) |
| What is your the highest completed education level? | |||
| 8th grade or less | 7 (0.2) | 34 (1.7) | 41 (0.8) |
| Still in HS, have not graduated yet | 4 (0.1) | 16 (0.8) | 20 (0.4) |
| Some HS, did not graduate | 48 (1.6) | 67 (3.3) | 115 (2.3) |
| HS graduate or GED | 294 (9.6) | 455 (22.3) | 749 (14.7) |
| Some college or specialized training | 803 (26.3) | 697 (34.1) | 1500 (29.4) |
| 4-year college degree | 981 (32.1) | 521 (25.5) | 1502 (29.4) |
| More than a 4-year college degree | 922 (30.1) | 253 (12.4) | 1175 (23) |
| In which annual income category does your household belong? | |||
| <$25, 000 | 612 (20%) | 583 (29%) | 1195 (24%) |
| $25,000–75,000 | 1277 (42%) | 960 (48%) | 2237 (44%) |
| $75,000–150,000 | 867 (29%) | 410 (20%) | 1277 (25%) |
| Over $150,000 | 282 (9%) | 66 (3%) | 348 (7%) |
| Race/ethnicity | |||
| White | 1816 (59.2) | 952 (41.8) | 2768 (51.8) |
| BIPOC | 1249 (40.8) | 1327 (58.2) | 2576 (48.2) |
| Have you lost income due to COVID-19 related work changes? | 1375 (44.9) | 1084 (52.6) | 2459 (48) |
| Have you lost your job due to the COVID-19 pandemic? | 546 (17.9) | 628 (30.4) | 1174 (22.9) |
| In the past 3 months, was there any day when you or anyone in your household went hungry? | 265 (8.7) | 417 (20.7) | 682 (13.5) |
BIPOC, Black Indigenous and People of Color.
Barriers to care for contraception users who sought care during the COVID-19 pandemic, online survey in the United States 2020-2021
| Early-COVID-19 pandemic (July 2020) | Mid-COVID-19 pandemic (Jan 2021) | Total | |
|---|---|---|---|
| Not able to go to all scheduled appointments because of shelter in place | 47 (9.3) | 55 (10.5) | 102 (9.8) |
| Not able to go to all appointments because I'm afraid to go to the clinic/facility | 55 (10.8) | 62 (11.6) | 117 (11.2) |
| Not able to go to all appointments because I'm afraid to go outside in general | 29 (5.7) | 48 (9) | 77 (7.4) |
| Not able to go to all scheduled appointments because clinics/facilities are closed or used for other services | 71 (14) | 66 (12.4) | 137 (13.2) |
| Not able to go because not enough time due to household responsibility | 32 (6.3) | 65 (12.2) | 97 (9.3) |
| Not able to go because I did not have enough money | 17 (3.4) | 39 (7.3) | 56 (5.4) |
| Not able to have a companion with me at my visits | 114 (22.4) | 113 (21.2) | 227 (21.8) |
| None of the above | 240 (47.3) | 235 (44.1) | 475 (45.7) |
| Other | 23 (4.5) | 23 (4.3) | 46 (4.4) |
Participants could check all barriers that applied.
Challenges with contraceptive method use among contraception users, online survey in the United States 2020-2021
| Early pandemic (July 2020) | Mid-pandemic (Jan 2021) | Total | |
|---|---|---|---|
| Because of the COVID-19 pandemic, have you faced a barrier with any of the following? [check all that apply] | |||
| Yes, I had trouble getting a new prescription for the same method | 185 (6.1) | 236 (11.2) | 421 (8.2) |
| Yes, I had trouble starting a new method | 266 (8.7) | 255 (12.1) | 521 (10.1) |
| Yes, I had trouble getting my same method from a grocery store/pharmacy or other place I usually get it | 183 (6) | 174 (8.2) | 357 (6.9) |
| Yes, I had trouble having my IUD removed | 53 (1.7) | 69 (3.3) | 122 (2.4) |
| Yes, I had trouble having my implant removed | 23 (0.8) | 70 (3.3) | 93 (1.8) |
| Yes, I had trouble getting another shot | 20 (0.7) | 35 (1.7) | 55 (1.1) |
| No problems | 2430 (79.7) | 1482 (70.2) | 3912 (75.8) |
| Would you be using a different method if it was not for COVID-19? | 424 (13.9) | 456 (21.6) | 880 (17.1) |
Differences in preference for using another method by race and economic impact of COVID-19, online survey in the United States 2020-2021
| Early-COVID-19 pandemic (July 2020) | Mid-COVID-19 pandemic (Jan 2021) | |||
|---|---|---|---|---|
| Would not be using a different method* | Would be using a different method | Would not be using a different method* | Would be using a different method | |
| Woman of color | ||||
| White | 1589 (88) | 223 (12) | 780 (82.5) | 165 (17.5) |
| BIPOC | 1036 (84) | 201 (16) | 876 (75) | 291 (25) |
| Income loss | ||||
| No income loss | 1499 (89) | 179 (11) | 818 (84.4) | 151 (15.6) |
| Income loss | 1125 (82) | 244 (18) | 788 (73.2) | 289 (26.8) |
| Job loss | ||||
| No job loss | 2177 (87) | 321 (13) | 1171 (82) | 254 (18) |
| Job loss | 441 (81) | 102 (19) | 435 (69.7) | 189 (30.3) |
| Food insecurity | ||||
| No food insecurity | 2422 (87) | 351 (13) | 1300 (82) | 287 (18) |
| Food insecurity | 195 (74) | 70 (26) | 268 (65) | 147 (35) |
*Those who said “don't know” categorized as “Would not be using a different method."
Association between experiencing economic hardship, socio-demographics, and impact of COVID-19 on using method of choice, online survey in the United States 2020-2021 (Odds Ratios adjusted for all variables in the table)
| Early-COVID-19 pandemic (July 2020) | Mid-COVID-19 pandemic (Jan 2021) | |
|---|---|---|
| Would be using a different method | Would be using a different method | |
| Odds ratio (95% confidence interval) | Odds ratio (95% confidence interval) | |
| Being BIPOC | 1.24 (1.00–1.54) | 1.51 (1.21–1.90) |
| Income loss due to COVID-19 | 1.61 (1.27–2.04) | 1.58 (1.21–2.06) |
| Job loss due to COVID-19 | 1.03 (0.78–1.37) | 1.24 (0.95–1.63) |
| Hunger due to COVID-19 | 1.73 (1.24–2.40) | 2.02 (1.55–2.64) |
| Age | 1.01 (0.99–1.02) | 0.99 (0.970–1.004) |
| Education | 0.84 (0.75–0.93) | 0.88 (0.80–0.97) |
| Income level | 1.01 (0.96– 1.07) | 1.10 (1.02–1.17) |
| Constant | 0.22 (0.11–0.46) | 0.28 (0.13–0.59) |
| Observations | 3003 | 1978 |