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- Title
Exploring the Uptake of Long-Acting Reversible Contraception in South Dakota Women and the Importance of Provider Education.
- Authors
Weber, Tess L.; Briggs, Ashley; Hanson, Jessica. D.
- Abstract
Background: Long-acting reversible contraception (LARC) methods, including the intrauterine device (IUD) and the birth control implant, are the most effective form of prescribed birth control for pregnancy prevention. However, uptake of this highly effective form of birth control is slow. The purpose of this study was to explore use of the LARC methods in South Dakota women prescribed contraception and the importance of the provider in promoting this type of contraception. Methods: This was a cross-sectional study of female patients who had been prescribed contraception at one of five locations in a South Dakota hospital system. Records were obtained through electronic health records for a six-month period. Descriptive analysis was performed using chi-square with counts and percentages. Logistic regression was used to determine differences in LARC prescriptions by patient age and provider title. Results: A total of 2,174 individual patients were included in analysis. Of the 378 (17.4 percent) who were prescribed LARC methods, most (78.6 percent) were prescribed an IUD. Younger women (aged 11-19) were less likely to be prescribed LARCs compared to women aged 30-34. There were also significant differences in LARC prescriptions by provider type. Futhermore, we noted differences in LARC prescriptions for a provider who received a specific education and training on LARC from the American College of Obstetrics and Gynecology. Conclusions: There are many important factors to consider by the patient when choosing the most appropriate contraceptive method, including safety, effectiveness, accessibility, and affordability. Provider education may play an important role in promoting LARC methods.
- Subjects
LONG-acting reversible contraceptives; INTRAUTERINE contraceptives; BIRTH control; ELECTRONIC health records; LOGISTIC regression analysis
- Publication
South Dakota Medicine, 2017, Vol 70, Issue 11, p493
- ISSN
0038-3317
- Publication type
Article