It is estimated that one-third of women will experience abnormal menstrual bleeding. The majority of these cases are not due to cancer or pregnancy complications and, as a result, women are faced with a variety of treatment alternatives, the selection of which is largely dependent on personal preferences for care rather than clinical outcomes. This randomized trial was designed to evaluate a preference elicitation tool to promote physician–patient collaborative decision making for treatment of abnormal uterine bleeding (AUB). Adaptive conjoint analysis (ACA) was used to create a preference elicitation tool in English and in Spanish. Women with AUB were enrolled to the study and randomly assigned to ACA or usual counseling at the initial clinic visit at four clinics (three in Indianapolis, IN, USA, and one in Southern Pines, NC, USA). The ACA tool elicited preferences across eight attributes: treatment efficacy; sexual function; medical care; cost; fertility; frequency of medication use; permanence; and recovery time. t tests were used to compare differences in the primary outcomes of decision regret and treatment satisfaction at the follow-up visit. The study was designed to have 80 % power to detect significant differences between groups for the primary outcomes of regret and satisfaction. Women were enrolled in the study between September 2009 and March 2012. 183 participants were randomized to ACA and 191 to usual counseling. Overall, mean (standard deviation) treatment satisfaction was high at 35.71 (9.72) (scale of 0–44), and decision regret was low at 25.9 (21.0) (scale of 0–100), creating ceiling effects for the selected outcome variables; there were no significant differences between the ACA and control groups at the follow-up assessment. There was a strong inverse relationship between age and decision regret (p = 0.007). Exploratory subgroup analysis in the youngest quartile comprising 64 women aged 19–35 years showed a statistically non-significant difference in mean regret scores for the ACA group versus usual counseling (24.6 vs. 34.6, respectively; p = 0.08). A preference elicitation tool at the initial consultation visit did not reduce decision regret or improve treatment satisfaction among patients with AUB; however, there is a need for additional research to further understand this tool’s potential role in promoting collaborative decision making, which may be particularly important among younger women.
Background: Rapid repeat pregnancy (RRP) is common among adolescents and is associated with adverse maternal and infant outcomes. Despite evidence that use of long-acting forms of contraception before hospital discharge can help minimize RRP rates, barriers to placement existed within the state of Indiana. We sought to determine state-specific RRP and induced abortion rates for adolescents based on chosen postpartum contraception to inform policy change. Methods: We examined a retrospective cohort of 227 adolescents (ages 12–18 years) who gave birth in Indiana between 2010 and 2012. Demographics, postpartum contraception, and subsequent pregnancies or abortions after the sentinel delivery were obtained. Rates of RRP based on type of immediate postpartum contraception, etonogestrel (ENG) contraceptive implant, depo-medroxyprogesterone acetate (DMPA) injection, and short-acting methods were compared. Bivariate and logistic regression analyses were conducted. Results: RRP rates were 3.7% for those with ENG contraceptive implant, 22.6% for those with DMPA, and 39.1% for those who choose short-acting methods (p = 0.01). Adolescents who did not choose an ENG contraceptive implant were significantly more likely to have an RRP (adjusted odds ratio [aOR] = 11.8, 95% confidence interval: 2.74–110.3), compared with other contraceptive methods, even after adjusting for covariates such as age, prior pregnancies, and postpartum visit attendance. Conclusions: Immediate postpartum receipt of ENG implant was significantly associated with a lower likelihood of RRP in adolescents in Indiana. These data facilitated state policy change regarding insurance reimbursement to improve statewide access for all women, regardless of age, showing how local data can inform policy change.
