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Objectives To develop a methodological approach for selecting, validating, and prioritizing attributes for health care decision making. Methods Participants (n = 48) were recruited from community support groups if they had a child aged 26 years or younger diagnosed with a coexisting mental health condition and cognitive impairment. Six in-depth interviews eliciting care management experiences were transcribed and coded into themes following the principles of grounded theory and the constant comparative method. Six focus groups involving 42 participants assessed the relevance, priority, and meaning and inter-relationship among the themes. The positive predictive value and sensitivity assessed agreement on thematic meaning. A final list was selected from the top priorities with good agreement as candidate attributes. Attribute levels reflecting the range of experiences in care management decisions emerged from the verbatim passages within each coded theme. Results Participants were the child's mother (73%), white (77%), married (69%), and on average 48 years old. The children were on average 14 years old; 44% had an intellectual disability, 25% had autism, and more than half had anxiety or attention-deficit/hyperactivity disorder. All 14 attributes identified from the in-depth interviews were deemed relevant. The positive predictive value exceeded 90%, and the sensitivity ranged from 64% to 89%. The final set of attributes formed the framework for care management decisions consisting of six attributes (medication, behavior, services, social, treatment effects, and school) each with three levels. Conclusions A systematic approach grounded in qualitative methods produced a framework of relevant, important, and actionable attributes representing competing alternatives in clinical decisions.

Objective While some observational studies have suggested a protective effect of metformin on incident cancer, concerns about potential bias remain. We compared the incidence of endometrial cancer in metformin versus sulfonylurea initiators. Research design and methods We conducted a retrospective cohort analysis using US healthcare claims (MarketScan®), 2000–2011. We identified new users of metformin versus sulfonylureas with no prior cancer diagnoses and followed them until a diagnosis of endometrial cancer, hysterectomy, treatment change, or disenrollment. We estimated hazard ratios (HR) and 95% confidence intervals (CI) using Cox proportional hazards, using an as-treated analytic approach. Stabilized inverse probability of treatment weights were used to adjust for potential confounding at baseline. Results Of 541,128 eligible women, 456,838 (84%) initiated metformin and 84,290 (16%) initiated sulfonylurea. The treatment groups differed at baseline in terms of age and recent diagnosis codes for diabetes, polycystic ovarian syndrome, and endometrial hyperplasia. Over a median follow-up of 1.2 (IQR 0.4–2.3) years and a total of 2,030,914 person-years, 729 women developed endometrial cancer. Metformin initiation was associated with a lower risk of endometrial cancer in the unadjusted analysis (HR 0.81, 95% CI 0.67–0.97). However, after balancing baseline covariates across groups, metformin was not associated with a reduced risk of endometrial cancer (HR 1.09, 95% CI 0.88–1.35). This finding was consistent across multiple sensitivity analyses and subgroup analyses in diabetic patients and relevant age groups. Conclusions In this population-based cohort of >500,000 women, initiating metformin compared with sulfonylureas was not associated with a reduced risk of developing endometrial cancer.