Entwicklung eines Fragebogens zum Represser-Sensitizer-Konstrukt der Krankheitsverarbeitung
摘要
People process disease-related information in various ways, requiring an individualized approach to information delivery during medical consultations. To address this, a brief questionnaire was developed based on the cognitive–psychological repressor–sensitizer construct to classify patients according to how they handle disease-related information.
MethodsUsing a two-step procedure, a 20-item questionnaire based on the repressor-sensitizer construct, developed through expert consensus and completed by N = 248 patients from general practitioners and specialist practices. Simultaneously, standardized assessments measured related constructs including health-related worry (modified short-form health anxiety inventory; MK-HAI), Depression, Anxiety, Stress Scale (DASS), coping with stress (SCI) and self-efficacy (SWE). A shortened 15-item version was subsequently completed by an additional N = 292 patients to evaluated internal consistency in this second cohort and in the combined total cohort of N = 540.
ResultsThe original 20-item version demonstrated acceptable internal consistency (α = 0.748) and showed moderate correlation with the DASS depression scale while sufficiently distinguishing itself from other constructs. The shortened 15-item version exhibited improved internal consistency (α = 0.777) and was largely independent of factors such as age, subjective health status, and gender. Lower scores on the scale indicate a repressive style of managing stressful information, while higher scores reflect a sensitizing tendency.
DiscussionThe small sample size limits the generalizability of the results. Future studies should include larger and more diverse patient groups to refine the differentiation between repressors and sensitizers.
ConclusionThe scale offers an efficient method for classifying patients along the repressor–sensitizer continuum. This facilitates the tailored adaptation of information delivery in medical settings, supporting more personalized and effective communication with patients.