Publications by authors named "B Frederiksen"

Importance: Individuals who use contraceptive pills, patches, and rings must frequently interact with the health care system for continued and consistent use. As options for obtaining these methods expand, better understanding contraceptive users' preferences for source of contraception can help facilitate access.

Objective: To describe use of preferred source of contraception and to understand associations between prior reproductive health care experiences and preference for traditional in-person sources vs alternative sources.

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Objectives: To identify limitations of abortion data in national Medicaid claims files by comparing abortion counts in Medicaid claims data with state abortion estimates.

Study Design: We used procedure (Current Procedural Terminology/Healthcare Common Procedure Coding System) and drug (National Drug Code) codes to identify abortion claims in 2009 and 2010 Medicaid Analytic eXtract (MAX) and 2020 Transformed Medicaid Statistical Information System Analytic File (TAF) data. We compared the number of abortions in MAX and TAF to the number of expected abortions covered by Medicaid overall and by state.

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Background: In the U.S. and globally, dominant metrics of contraceptive access focus on the use of certain contraceptive methods and do not address self-defined need for contraception; therefore, these metrics fail to attend to person-centeredness, a key component of healthcare quality.

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Context: The Person-Centered Contraceptive Care measure (PCCC) evaluates patient experience of contraceptive counseling, a construct not represented within United States surveillance metrics of contraceptive care. We explore use of PCCC in a national probability sample and examine predictors of person-centered contraceptive care.

Methods: Among 2228 women from the 2017-2019 National Survey of Family Growth who reported receiving contraceptive care in the last year, we conducted univariate and multivariable linear regression to identify associations between individual characteristics and PCCC scores.

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Background: The Arthritis Ultrasound Robot (ARTHUR) is an automated system for ultrasound scanning of the joints of both hands and wrists, with subsequent disease activity scoring using artificial intelligence. The objective was to describe the patient's perspective of being examined by ARTHUR, compared to an ultrasound examination by a rheumatologist. Further, to register any safety issues with the use of ARTHUR.

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