This study aimed to develop and validate the Distressful Female Health Conditions Inventory (D-FHCI), a psychometric instrument assessing information-seeking versus information-avoidance tendencies (monitoring-blunting) in women with gynecological and obstetric conditions. A mixed-methods sequential exploratory design was employed, comprising qualitative item development and quantitative psychometric validation. We developed a 16-item inventory with four clinical scenarios, each containing two monitoring and two blunting response options, following literature review, cognitive interviews, and expert consultation. Validation involved 198 women with physician-confirmed gynecological conditions. Exploratory factor analysis (n = 119) using polychoric correlations and confirmatory factor analysis (n = 79) using the WLSMV estimator were conducted. Convergent validity was assessed using the Miller Behavioral Style Scale and Intolerance of Uncertainty Scale-12, with test–retest reliability evaluated over 2 weeks (n = 30). Measurement invariance was tested across education level and parity status. Factor analyses supported a two-factor solution (monitoring and blunting), explaining 38.2% and 17.5% of variance respectively, with acceptable fit indices (CFI = 0.926, TLI = 0.913, RMSEA = 0.064, SRMR = 0.063). Both subscales demonstrated good internal consistency (Monitoring: α = 0.83, ω = 0.85; Blunting: α = 0.78, ω = 0.80) and test–retest reliability (Monitoring: ICC = 0.81; Blunting: ICC = 0.79). D-FHCI subscales showed moderate correlations with corresponding MBSS subscales (r = 0.52, r = 0.49), confirming convergent validity. Measurement invariance was supported across parity status (full scalar) and education level (partial scalar). Higher education, younger age, and greater perceived severity predicted stronger monitoring tendencies. The D-FHCI demonstrates sound psychometric properties for assessing condition-specific information processing preferences in women with gynecological and obstetric conditions. The instrument may facilitate tailored patient education and early identification of psychological vulnerability in clinical settings.
YILMAZ et al. (2026) studied this question.