Development and validation of the distressful female health conditions scale in a Turkish sample

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.

Authors

Institutions

Publication Details

Journal
Discover Psychology
Published
2026-04-17
DOI
https://doi.org/10.1007/s44202-026-00659-x
Primary Topic
Patient-Provider Communication in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and validation of the distressful female health conditions scale in a Turkish sample

Filiz Yarşılıkal Güleroğlu, Ali Çetin, Melike PÜNDÜK YILMAZ, Berivan Güzelbağ et al.
Discover Psychology
Patient-Provider Communication in Healthcare
article

Development and validation of the distressful female health conditions scale in a Turkish sample

Filiz Yarşılıkal Güleroğlu, Ali Çetin, Melike PÜNDÜK YILMAZ, Berivan Güzelbağ, İclal İlknur Özdemir, Can Bilginer
article en

Abstract

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.

Discover Psychology
Istanbul Medipol University (TR), Haseki Eğitim ve Araştırma Hastanesi (TR), Istanbul University-Cerrahpaşa (TR), Sağlık Bilimleri Üniversitesi (TR)
Gender equality, Quality Education
Openalex Percentile: Top 12%
Patient-Provider Communication in Healthcare
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.