Development and Validation of the PREVES-HOR Questionnaire: A Patient-Reported Measure of Hormone Therapy-Related Quality of Life in Prostate Cancer Patients Undergoing Androgen Deprivation Therapy.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 2/4)
유사 논문P · Population 대상 환자/모집단
000 patient phase 2/3 program.
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
Its forced-choice format eliminated missing data but will be reconsidered, along with responsiveness, test-retest stability, and cross-cultural adaptation, in the ongoing 1,000 patient phase 2/3 program. Pending confirmation, PREVES-HOR, may become a complementary tool for individualizing supportive care and evaluating ADT-modifying interventions.
[INTRODUCTION] The burden of androgen deprivation therapy (ADT) is only partially captured by legacy prostate cancer questionnaires, which devote few items to hormonal sequelae.
APA
Di Lorenzo G, Verde A, et al. (2025). Development and Validation of the PREVES-HOR Questionnaire: A Patient-Reported Measure of Hormone Therapy-Related Quality of Life in Prostate Cancer Patients Undergoing Androgen Deprivation Therapy.. Oncology, 1-16. https://doi.org/10.1159/000548317
MLA
Di Lorenzo G, et al.. "Development and Validation of the PREVES-HOR Questionnaire: A Patient-Reported Measure of Hormone Therapy-Related Quality of Life in Prostate Cancer Patients Undergoing Androgen Deprivation Therapy.." Oncology, 2025, pp. 1-16.
PMID
41021420 ↗
Abstract 한글 요약
[INTRODUCTION] The burden of androgen deprivation therapy (ADT) is only partially captured by legacy prostate cancer questionnaires, which devote few items to hormonal sequelae. Patient-Reported Evaluation of the Effects of Hormone Therapy (PREVES-HOR) is a 29-item, distress-anchored instrument developed to quantify ADT-specific physical, emotional, cognitive, sexual, and body image morbidity from a patient-centered, subjective perspective. We report the prespecified phase 1 psychometric evaluation.
[METHODS] Italian-speaking men receiving ADT were consecutively enrolled. Participants completed PREVES-HOR plus external comparators for fatigue (REST), mood (HEAL-BDLC), sleep (PEACE), and well-being (WHO-5). Internal consistency was estimated with Cronbach's α and McDonald's ω; convergent validity with Spearman correlations; dimensionality with exploratory factor analysis (polychoric matrix, principal axis factoring, oblimin rotation, parallel analysis).
[RESULTS] One hundred and forty-five patients were analyzed. PREVES-HOR showed excellent reliability (α = 0.95; McDonald's ω = 0.97; domain α/ω 0.80-0.95). Six factors - physical fatigue and pain, emotional well-being, mental clarity, quality of life, relationships and stress, sexual health and body image - accounted for 79% of variance, with a dominant general distress factor (∼50%). All but four items had communalities ≥0.40 and cross-loadings <0.30. Total PREVES-HOR correlated strongly with fatigue (REST ρ = 0.69) and depression/anxiety (HEAL-BDLC ρ = 0.78) and inversely with well-being (WHO-5 ρ = -0.49) and sleep quality (PEACE ρ = -0.37), confirming convergent but nonredundant validity.
[CONCLUSION] Phase 1 findings support PREVES-HOR's content validity, internal coherence, and ability to detect clinically meaningful distress overlooked by broader instruments such as EPIC or FACT-P. Its forced-choice format eliminated missing data but will be reconsidered, along with responsiveness, test-retest stability, and cross-cultural adaptation, in the ongoing 1,000 patient phase 2/3 program. Pending confirmation, PREVES-HOR, may become a complementary tool for individualizing supportive care and evaluating ADT-modifying interventions.
[METHODS] Italian-speaking men receiving ADT were consecutively enrolled. Participants completed PREVES-HOR plus external comparators for fatigue (REST), mood (HEAL-BDLC), sleep (PEACE), and well-being (WHO-5). Internal consistency was estimated with Cronbach's α and McDonald's ω; convergent validity with Spearman correlations; dimensionality with exploratory factor analysis (polychoric matrix, principal axis factoring, oblimin rotation, parallel analysis).
[RESULTS] One hundred and forty-five patients were analyzed. PREVES-HOR showed excellent reliability (α = 0.95; McDonald's ω = 0.97; domain α/ω 0.80-0.95). Six factors - physical fatigue and pain, emotional well-being, mental clarity, quality of life, relationships and stress, sexual health and body image - accounted for 79% of variance, with a dominant general distress factor (∼50%). All but four items had communalities ≥0.40 and cross-loadings <0.30. Total PREVES-HOR correlated strongly with fatigue (REST ρ = 0.69) and depression/anxiety (HEAL-BDLC ρ = 0.78) and inversely with well-being (WHO-5 ρ = -0.49) and sleep quality (PEACE ρ = -0.37), confirming convergent but nonredundant validity.
[CONCLUSION] Phase 1 findings support PREVES-HOR's content validity, internal coherence, and ability to detect clinically meaningful distress overlooked by broader instruments such as EPIC or FACT-P. Its forced-choice format eliminated missing data but will be reconsidered, along with responsiveness, test-retest stability, and cross-cultural adaptation, in the ongoing 1,000 patient phase 2/3 program. Pending confirmation, PREVES-HOR, may become a complementary tool for individualizing supportive care and evaluating ADT-modifying interventions.
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