The Basic Documentation for Psycho-Oncology Short Form (PO-Bado SF)-an expert rating scale for distress screening: development and psychometric properties

2014 ◽  
Vol 24 (6) ◽  
pp. 653-660 ◽  
Author(s):  
Birgitt Marten-Mittag ◽  
Katrin Book ◽  
Britta Buchhold ◽  
Andreas Dinkel ◽  
Bärbel Gründobler ◽  
...  
2019 ◽  
Vol 7 (1) ◽  
pp. 78-89
Author(s):  
Yaël Saada ◽  
Kamel Gana ◽  
Odile Duguey-Cachet ◽  
Nena Stadelmaier ◽  
Bruno Quintard

2008 ◽  
Vol 31 (11) ◽  
pp. 591-596 ◽  
Author(s):  
Peter Herschbach ◽  
Katrin Book ◽  
Tobias Brandl ◽  
Monika Keller ◽  
Birgitt Marten-Mittag

2019 ◽  
Vol 17 (3.5) ◽  
pp. HSR19-100
Author(s):  
Shauna McManus ◽  
Alexandra K. Zaleta ◽  
Melissa F. Miller ◽  
Joanne S. Buzaglo ◽  
Julie S. Olson ◽  
...  

Background: CancerSupportSource (CSS) is a 25-item distress screening tool implemented at community-based cancer support organizations and hospitals nationwide. CSS assesses distress over 5 domains: (1) emotional concerns (including depression and anxiety risk screening subscales), (2) symptom burden, (3) body and healthy lifestyle, (4) healthcare team communication, and (5) relationships. This study developed a short form of CSS and examined its psychometric properties. Methods: 2,379 cancer survivors enrolled in the Cancer Support Community’s Cancer Experience Registry. Participants provided demographic and clinical background and completed CSS-25 and PROMIS-29, a measure of health-related quality of life. Item reduction was conducted with a subsample of 1,435 survivors and included external item quality (correlations between items and PROMIS-29 scales), internal item quality (inter-item and inter-factor correlations, factor loadings and structure, and item communalities from an exploratory factor analysis of CSS-25), and professional judgement (ranking/prioritization of items by CSS-25 developers, accounting for theoretical and practical implications). Pearson correlations and confirmatory factor analysis were conducted on a separate subsample of 944 survivors to corroborate psychometric properties and dimensionality of the shortened scale. Results: Scale refinement resulted in a 15-item short form of CSS (CSS-15). At least 1 item from each of the 5 CSS-25 domains was retained to preserve multidimensionality, including anxiety and depression risk screening subscale items. Additionally, 1 item about tobacco/substance use was kept due to clinical significance for risk assessment. In confirmatory factor analysis, the model explained 59% of the variance and demonstrated good fit (RMSEA=0.068, 90% CI=0.061–0.075; SRMR=0.033; CFI=0.959; χ2(68)=334.75, P<.001). Correlation between CSS-15 and CSS-25 was 0.986, P<.001. Total distress was associated with PROMIS subscales (rs=−.65–.75, ps<.001); internal consistency reliability was excellent (α=.92). Conclusions: CSS-15 is a brief, reliable, and valid multidimensional measure of distress. The reduced measure retained excellent internal consistency and a stable factor structure, while correlating well with CSS-25 and PROMIS-29. CSS-15 can serve as a practical tool to efficiently screen for distress among cancer patients and survivors.


2012 ◽  
Vol 31 (4) ◽  
pp. 351-362 ◽  
Author(s):  
Daniel J. Yanosky ◽  
Paula J. Schwanenflugel ◽  
Randy W. Kamphaus

2017 ◽  
Vol 48 (5) ◽  
pp. 596-602 ◽  
Author(s):  
Nena Stadelmaier ◽  
Kamel Gana ◽  
Yaël Saada ◽  
Odile Duguey-Cachey ◽  
Bruno Quintard

2010 ◽  
Vol 18 (8) ◽  
pp. 957-965 ◽  
Author(s):  
Bianca Senf ◽  
Holger Brandt ◽  
Axel Dignass ◽  
Rolf Kleinschmidt ◽  
Jochen Kaiser

Abstract Purpose The identification of psychosocial stress in cancer patients has remained a challenging task especially in an acute care environment. The aims of the present study were to apply a short expert rating scale for the assessment of distress during the acute treatment phase and to identify potential sociodemographic and disease-related predictors. Methods Four hundred seventy-eight ward cancer patients were assessed with the short form of the psycho-oncological basis documentation and its breast-cancer-specific version. In addition, they completed a self-rating questionnaire on stress in cancer patients. We recorded sociodemographic and disease-related variables and assessed their predictive value for psychosocial distress. Results According to the expert rating scale, 56.3% of patients were rated distressed. While only 31.3% of patients were classified as distressed according to a patient self-rating, both approaches showed a good degree of concurrence with a consistent classification of 69% of patients. Younger age, current psychotropic medication, and past psychological treatment were associated with higher distress levels. Patients with metastases and those with a poorer functional status were more distressed. Interestingly, having an operation was associated with a better psychological well-being. Conclusions This study demonstrated that a substantial proportion of cancer patients in acute care are psychosocially distressed. A short expert rating scale proved to be a feasible tool for the assessment of distress in an acute care setting.


Author(s):  
Alexandra K. Zaleta ◽  
Shauna McManus ◽  
Erica E. Fortune ◽  
Branlyn W. DeRosa ◽  
Joanne S. Buzaglo ◽  
...  

Abstract Purpose CancerSupportSource® (CSS) is a distress screening program implemented at community-based organizations and hospitals nationwide. The 25-item CSS assesses distress across five domains, with capacity to screen for clinically significant depression and anxiety. This study examined psychometric properties of a shortened form to enhance screening opportunities when staff or patient burden considerations are significant. Methods Development and validation were completed in multiple phases. Item reduction decisions were made with 1436 cancer patients by assessing external/internal item quality and judging theoretical and practical implications of items. Pearson correlations and confirmatory factor analysis were conducted on a separate sample of 957 patients to corroborate psychometric properties and dimensionality of the shortened scale. Nonparametric receiver operating characteristic (ROC) curve analyses determined scoring thresholds for depression and anxiety risk scales. Results Scale refinement resulted in a 15-item short form plus one screening item assessing tobacco and substance use (CSS-15+). At least two items from each CSS domain were retained to preserve multidimensionality. In confirmatory analysis, the model explained 59% of the variance and demonstrated good fit. Correlation between CSS-15+ and 25-item CSS was 0.99, p < 0.001. Sensitivity of 2-item depression and 2-item anxiety risk scales in the confirmatory sample were 0.82 and 0.83, respectively. Conclusions CSS-15+ is a brief, reliable, and valid multidimensional measure of distress. The measure retained excellent internal consistency (α = 0.94) and a stable factor structure. CSS-15+ is a practical and efficient screening tool for distress and risk for depression and anxiety among cancer patients and survivors, particularly in community-based settings.


2011 ◽  
Vol 27 (3) ◽  
pp. 164-170 ◽  
Author(s):  
Anna Sundström

This study evaluated the psychometric properties of a self-report scale for assessing perceived driver competence, labeled the Self-Efficacy Scale for Driver Competence (SSDC), using item response theory analyses. Two samples of Swedish driving-license examinees (n = 795; n = 714) completed two versions of the SSDC that were parallel in content. Prior work, using classical test theory analyses, has provided support for the validity and reliability of scores from the SSDC. This study investigated the measurement precision, item hierarchy, and differential functioning for males and females of the items in the SSDC as well as how the rating scale functions. The results confirmed the previous findings; that the SSDC demonstrates sound psychometric properties. In addition, the findings showed that measurement precision could be increased by adding items that tap higher self-efficacy levels. Moreover, the rating scale can be improved by reducing the number of categories or by providing each category with a label.


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