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J Affect Disord ; 262: 333-336, 2020 02 01.
Article in English | MEDLINE | ID: mdl-31740110

ABSTRACT

BACKGROUND: Having a mental health diagnosis is associated with contraceptive non-adherence and user-related contraceptive failures of short-acting methods. There is a lack of research on the relationship between mental health diagnoses and early discontinuation of highly effective long-acting reversible (LARC) methods such as the intrauterine device (IUD) and subdermal implant (SDI). METHODS: Using a Primary Care and Obstetrics and Gynecology Patient Data Registry, we conducted a cross-sectional analysis of the relationship between any mental health diagnosis (any anxiety disorder or depression) and early LARC removal (<1 year post-insertion) among 385 reproductive-aged (14-50 years) women in 2008-16. Adjusted logistic regression was used to calculate odds ratios and 95% confidence intervals. RESULTS: Almost 10% (n = 37) of the sample had an early LARC removal, of which 62.2% were hormonal IUD and 37.8% were SDI. Women with a mental health diagnosis had a higher prevalence of early LARC removal (13.6% vs. 8.0%, p = =.090). Although non-significant, there was a trend in adjusted analyses indicating twice the odds of early removal for women with a mental health diagnosis versus no diagnosis (OR = =2.04, 95% CI = =0.97-4.27). LIMITATIONS: This study is limited by a small sample size and availability of variables from a reportable medical record database. Pregnancy intentions and side effects of method use could not be accounted for which may have impacted timing of removal. CONCLUSIONS: Understanding why women choose early LARC removal can inform counseling to help women make informed choices about their contraceptive method that meets their reproductive needs.


Subject(s)
Contraception Behavior/psychology , Long-Acting Reversible Contraception/psychology , Mental Disorders/psychology , Withholding Treatment/statistics & numerical data , Adolescent , Adult , Contraception/methods , Contraception/psychology , Cross-Sectional Studies , Female , Humans , Intrauterine Devices , Logistic Models , Middle Aged , Pregnancy , Registries , Young Adult
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