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Alexander Obbarius,1 Felix Fischer,1 Gregor Liegl,1 Nina Obbarius,1 Jan van Bebber,1 Tobias Hofmann,1 Matthias Rose1,2 1Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité – Universitätsmedizin Berlin, Berlin, Germany; 2Quantitative Health Sciences, Outcomes Measurement Science, University of Massachusetts Medical School, Worcester, MA, USACorrespondence: Alexander ObbariusDepartment of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité – Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, GermanyTel +4930450653890Email alexander.obbarius@charite.dePurpose: The number of non-responders to treatment among patients with chronic pain (CP) is high, although intensive multimodal treatment is broadly accessible. One reason is the large variability in manifestations of CP. To facilitate the development of tailored treatment approaches, phenotypes of CP must be identified. In this study, we aim to identify subgroups in patients with CP based on several aspects of self-reported health.Patients and Methods: A latent class analysis (LCA) was carried out in retrospective data from 411 patients with CP of different origins. All patients experienced severe physical and psychosocial consequences and were therefore undergoing multimodal inpatient pain treatment. Self-reported measures of pain (visual analogue scales for pain intensity, frequency, and impairment; Pain Perception Scale), emotional distress (Patient Health Questionnaire, PHQ-9; Generalized Anxiety Disorder Scale, GAD-7) and physical health (Short Form Health Survey; SF-8) were collected immediately after admission and before discharge. Instruments assessed at admission were used as input to the LCA. Resulting classes were compared in terms of patient characteristics and treatment outcome.Results: A model with four latent classes demonstrated the best model fit and interpretability. Classes 1 to 4 included patients with high (54.7%), extreme (17.0%), moderate (15.6%), and low (12.7%) pain burden, respectively. Patients in class 4 showed high levels of emotional distress, whereas emotional distress in the other classes corresponded to the levels of pain burden. While pain as well as physical and mental health improved in class 1, only the levels of depression and anxiety improved in patients in the other groups during multimodal treatment.Conclusion: The specific needs of these subgroups should be taken into account when developing individualized treatment programs. However, the retrospective design limits the significance of the results and replication in prospective studies is desirable.Keywords: chronic pain, phenotyping, patient-reported outcomes, latent class analysis, multimodal treatment

Recent developments in the dimensional assessment of personality functioning have made the implementation of latent measurement models increasingly attractive. In this study, we applied item response theory (IRT) to a well-established personality functioning instrument (the OPD Structure Questionnaire) to identify a unidimensional latent trait and to evaluate the feasibility of computer adaptive testing (CAT). We hypothesized that the use of IRT could reduce the test burden - compared to a fixed short form - while maintaining high precision over a wide range of the latent trait. The OPD-SQ was collected from 1235 patients in a psychosomatic clinic. IRT assumptions were fulfilled. A 9-factor model yielded sufficient fit and unidimensionality in exploratory factor analysis with bifactor rotation. Items were iteratively reduced, and a graded-response IRT model was fitted to the data. Simulations showed that a CAT with approximately 7 items was able to capture an OPD-SQ global severity score with an accuracy similar to that of a fixed 12-item short form. The final item bank and CAT yielded satisfactory content validity. Strong correlations with depression and anxiety replicated previous results on the OPD-SQ. We concluded that IRT applications could be useful to reduce the test burden of personality functioning instruments.

Background: Stress is a major risk factor for the impairment of psychological well-being. The present study aimed to evaluate the empirical evidence of the Transactional Stress Model proposed by Lazarus and Folkman in patients with psychosomatic health conditions., Methods: A structural equation model was applied in two separate subsamples of inpatients from the Department of Psychosomatic Medicine (total n = 2,216) for consecutive model building (sample 1, n = 1,129) and confirmatory analyses (sample 2, n = 1,087) using self-reported health status information about perceived stress, personal resources, coping mechanisms, stress response, and psychological well-being., Results: The initial model was created to reflect the theoretical assumptions by Lazarus and Folkman about their transactional stress concept. This model was modified until a sufficient model fit was reached (sample 1: CFI = 0.904, TLI = 0.898, RMSEA = 0.072 [0.071-0.074], SRMR = 0.061). The modified model was confirmed in a second sample (sample 2: CFI = 0.932, TLI = 0.928, RMSEA = 0.066 [0.065-0.068], SRMR = 0.052). Perceived external stressors and personal resources explained 91% of the variance of the stress response, which was closely related to symptoms of depression (63% variance explained). The attenuating effect of resources on stress response was higher (standardized β = -0.73, p < 0.001) than the impact of perceived stressors on stress response (standardized β = 0.34, p < 0.001)., Conclusion: The empirical data largely confirmed the theoretical assumption of the Transactional Stress Model, which was first presented by Lazarus and Folkman, in patients with a wide range of psychosomatic conditions. However, data analyses were solely based on self-reported health status. Thus, proposed inner psychological mechanisms such as the appraisal process could not be included in this empirical validation. The operationalization and understanding of coping processes should be further improved., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Obbarius, Fischer, Liegl, Obbarius and Rose.)

Background: Screening for personality dysfunction is regarded as increasingly important for treatment planning in clinical settings as this allows to determine specific clinical pathways in an early stage. Recently, the 12-item OPD Structure Questionnaire (OPD-SQS) was developed for this purpose and initial results of the factor structure and validity have been published. This study aimed to investigate and validate the OPD-SQS in further patient samples beyond the team of developers and to provide reference values., Methods: Data was assessed in psychosomatic outpatients (N=565) and inpatients (N=670) at Charité - Universitätsmedizin Berlin between 2012 and 2016. To examine the factor structure of the OPD-SQS confirmatory factor analyses (CFA) were applied in both samples. To evaluate construct validity, a SKID-II-Interview was performed in N=105 patients and narcissism inventory (NI-90) was completed by N=160 patients. In addition, a range of instruments reflecting emotional, social and physical health were assessed. Bivariate correlations were performed to analyze relations between these instruments and the OPD-SQS., Results: CFAs indicated a good to satisfying fit for the proposed model including 3 factors. A Bifactormodel resulted in very good modelfit. Analyses of construct validity resulted in high positive correlations of OPD-SQS with dimensional SCID-II scores, SKID-II interviews, and NI-90 confirming convergent validity. Results for discriminant validity were heterogeneous. Medium to high correlations were found with a range of instruments including D-CAT (depression), A-CAT (anxiety), S-CAT (stress), and PHQ-15 (somatic symptoms). Subsequent analyses revealed, that the factor self-perception is potentially being influenced by current depression and anxiety. Analyses showed only minor differences of correlations between OPD-SQS subscales and other instruments., Conclusions: The OPD-SQS seems to be appropriate for screening of personality dysfunction. However, other aspects of psychopathology are gathered in addition. Therefore, further investigation of the patients' personality structure such as an OPD interview may be added in clinical settings., Competing Interests: Die Autoren geben an, dass kein Interessenkonflikt besteht., (© Georg Thieme Verlag KG Stuttgart · New York.)

Health-related quality of life (HRQoL) acquires increased importance as a target parameter for different stakeholders in healthcare, e. g. to assess treatment outcome in chronically ill patients. In this educational article, we explain the levels of the health-related quality of life construct and associated main dimensions including physical, mental and social health. State-of-the-art approaches for assessment of patient-reported outcomes (PROs) are introduced on the basis of the HRQoL model. Furthermore, modern test-theoretical approaches and their applications are presented, which are aimed at standardizing and improving the assessment of PROs (e. g., computer-adaptive testing). Finally, we present 2 major international PRO initiatives (PROMIS ® and EORTC Quality of Life Group) that have been influential in advancing the assessment of patient outcomes over the last few years., Competing Interests: Die Autoren geben an, dass kein Interessenkonflikt besteht., (© Georg Thieme Verlag KG Stuttgart · New York.)

Objectives: To develop the first item bank to measure stress resilience (SR) in clinical populations., Study Design and Setting: Qualitative item development resulted in an initial pool of 131 items covering a broad theoretical SR concept. These items were tested in n = 521 patients at a psychosomatic outpatient clinic. Exploratory and confirmatory factor analysis, as well as other state-of-the-art item analyses and item response theory were used for item evaluation and calibration of the final item bank., Results: Of the initial item pool of 131 items, we excluded 64 items (54 factor loading <0.5, four residual correlations >0.3, two nondiscriminative item response curves, and four differential item functioning). The final set of 67 items indicated sufficient model fit in confirmatory factor analysis and item response theory analyses. In addition, a 10-item short form with high measurement precision (SE ≤ 0.32 in a theta range between -1.8 and +1.5) was derived. Both the SR item bank and the SR short form were highly correlated with an existing static legacy tool (Connor-Davidson Resilience Scale)., Conclusion: The final SR item bank and 10-item short form showed good psychometric properties. When further validated, they will be ready to be used within a framework of computer-adaptive tests for a comprehensive assessment of the stress construct., (Copyright © 2018 Elsevier Inc. All rights reserved.)