W Berry, E Capbarat, S Rosenberg, T Walker, E Keegan, C Carter-Brooks

(057) Retrospective Cohort Study: Associations Between Gynecology Provider Level and Female Sexual Dysfunction Screening Rates during Annual Exams

  • Urology
  • Reproductive Medicine
  • Endocrinology
  • Endocrinology, Diabetes and Metabolism
  • Psychiatry and Mental health
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Abstract Introduction Female sexual dysfunction (FSD) is a broad term that encompasses personal distress from various aspects of intercourse including desire, arousal, orgasm, or pain. Various studies report a high prevalence of 10-20% in women, FSD screening rates are low in the United States. Objectives The objectives of this study are to determine if provider type or provider level of training affect rate of FSD screening at annual well-woman visits, and to compare rates of FSD screening compared to other screening including depression, cervical cancer, and breast cancer. Methods We performed a retrospective cohort study chart review of patients from our outpatient gynecology office who underwent a well-woman annual visit. Women were eligible if at least 18 years of age, new patients, sexually active now or in the past, were seen by a provider in our gynecology department (attending, resident, midwife, or nurse practitioner), and used English as a primary language. Charts were identified within the gynecology department between 11/1/2017 and 1/31/2020 by looking up visits with CPT codes 99385, 99386, and 99387, as well as GC modifiers to identify resident-level providers. The attending-level physician, nurse practitioner, and certified nursing midwife visits were matched to resident-level visits by CPT code and similar date of service. The primary outcome is comparative rates of FSD screening by resident-level providers versus attending-level providers. Secondary outcomes including comparative rates of FSD screening amongst other provider types, and comparison of FSD screening versus depression, cervical cancer, and breast cancer screening. Outcomes will be analyzed using Chi-square testing (if more than 5 patients are screened for FSD from each provider-type) or Fisher’s exact test (if no more than 5 patients are screened for FSD from any provider-type). Multivariable logistic regression modeling will be used to identified any associations between patient or provider demographics that may affect screening rates (patient age, race, insurance type, sex of provider, etc.) Results We have approximately 400 total charts identified for review, which is ongoing and approximately 20% complete. We anticipate reporting results and conclusions after completion of chart review. Conclusions We have approximately 400 total charts identified for review, which is ongoing and approximately 20% complete. We anticipate reporting results and conclusions after completion of chart review. Disclosure No.

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