| Literature DB >> 35657468 |
Jennifer Yarger1, Kristine Hopkins2, Sarah Elmes3, Irene Rossetto2, Stephanie De La Melena3, Charles E McCulloch4, Kari White2, Cynthia C Harper3.
Abstract
BACKGROUND: Telemedicine expanded rapidly during the COVID-19 pandemic, including for contraceptive services. Data are needed to understand whether young people can access telemedicine for contraception, especially in underserved populations.Entities:
Keywords: COVID-19; access to care; contraception; food insecurity; housing insecurity; telemedicine
Year: 2022 PMID: 35657468 PMCID: PMC9165539 DOI: 10.1007/s11606-022-07669-0
Source DB: PubMed Journal: J Gen Intern Med ISSN: 0884-8734 Impact factor: 6.473
Participant Characteristics, by Food and Housing Insecurity Status (N=1,414)
| Characteristics | Total, % | Food insecure ( | Housing insecure ( |
|---|---|---|---|
| Age | |||
| 18–19 years | 25 | 23 | 16* |
| 20–21 years (ref) | 58 | 53 | 60 |
| 22 years or older | 17 | 24*** | 24 |
| Race/ethnicity | |||
| Hispanic (ref) | 58 | 60 | 54 |
| White non-Hispanic | 21 | 18 | 23 |
| Asian/Pacific Islander non-Hispanic | 9 | 9 | 7 |
| Black non-Hispanic | 6 | 8 | 8 |
| American Indian/other/multi-racial non-Hispanic | 6 | 5 | 8 |
| Speaks non-English language at home | 50 | 51 | 43* |
| Lives with parent | 62 | 47*** | 40*** |
| Enrolled in college | 77 | 71*** | 68*** |
| Employment status | |||
| Employed full-time | 23 | 27* | 29* |
| Employed part-time (ref) | 42 | 35 | 34 |
| Not employed | 35 | 38* | 37 |
| Receives public assistance | 21 | 32*** | 36*** |
| Uninsured | 16 | 20 | 21 |
| Has child(ren) | 8 | 13*** | 11 |
| Had vaginal sex in the past 3 months | 87 | 90* | 88 |
| Type of method used | |||
| IUD/implant | 22 | 25* | 24 |
| Pill/patch/ring/emergency contraceptive pill (ref) | 22 | 19 | 18 |
| Condom | 22 | 18 | 18 |
| Injectable | 2 | 2 | 2 |
| Other | 10 | 10 | 12 |
| None | 22 | 26** | 25* |
| State of residence | |||
| California | 71 | 71 | 75 |
| Texas | 29 | 29 | 25 |
Note: *p < .05, **p < .01, ***p <.001. Univariate logistic (for dichotomous characteristics) and multinomial logistic (for characteristics with more than two response categories) regression models with cluster robust standard errors were used to compare the food insecure to food secure and to compare the housing insecure to housing secure
Perceived Difficulty Accessing Telemedicine for Contraception, by Food Insecurity and Housing Insecurity Status (N=1,357)
| Basic needs insecurity | Perceived difficulty having a telemedicine visit for birth control | |||
|---|---|---|---|---|
| % | Adjusted odds ratio* | 95% confidence interval | ||
| Food | ||||
| Food insecure | 119 | 30.1 | 2.17 | 1.62–2.91 |
| Food secure | 185 | 18.5 | 1.00 (Ref) | |
| Housing | ||||
| Housing insecure | 58 | 27.4 | 1.62 | 1.13–2.33 |
| Housing secure | 246 | 20.8 | 1.00 (Ref) | |
*Multivariable mixed-effects logistic regression models controlled for age, race/ethnicity, speaks non-English language at home, lives with parent, health insurance status, state of residence, type of method used, and included random effects for site
Perceived Barriers to Telemedicine Visits for Contraception, by Food and Housing Insecurity Status (N=1,401)
| Phone visit for contraception | Video visit for contraception | |||||
|---|---|---|---|---|---|---|
| Total, % | Food insecure ( | Housing insecure ( | Total, % | Food insecure ( | Housing insecure ( | |
| I would have to get my birth control method in person | 43.2 | 49.7** | 45.7 | 40.5 | 46.6** | 38.9 |
| I would not have enough privacy at home | 35.3 | 38.5 | 37.1 | 35.4 | 40.3** | 36.0 |
| I would not feel comfortable with a (phone/video) visit | 24.2 | 30.5*** | 24.1 | 26.4 | 33.1*** | 27.5 |
| I would not know how to do a (phone/video) visit | 16.6 | 19.6 | 19.0 | 15.9 | 20.2*** | 15.6 |
| My doctor/clinic does not offer (phone/video) visits | 11.5 | 13.0 | 11.8 | 8.7 | 10.2 | 10.3 |
| My health insurance would not cover a (phone/video) visit | 10.1 | 13.2* | 12.7 | 8.7 | 11.5** | 10.5 |
| I would not have (a phone/the necessary electronic devices) | 6.7 | 8.9 | 8.1 | 7.6 | 11.6** | 11.0* |
| I would not have a reliable Internet connection | 16.6 | 24.0*** | 19.4 | |||
| I would prefer an in-person visit | 73.3 | 73.9 | 66.7** | 70.7 | 72.0 | 68.1 |
Note: *p < .05, **p < .01, ***p <.001. Univariate logistic regression models with cluster robust standard errors were used to compare the food insecure to food secure and to compare the housing insecure to housing secure