Background: Studies on structural validity of the Quebec Back Pain Disability Scale (QBPDS) showed uncertain unidimensionality.
Aim: The aim of this study was to investigate dimensionality and internal construct validity of the QBPDS, using advanced psychometric methods.
Design: The design of this study is a secondary analysis of data from a cross-sectional observational study.
Setting: The setting was an outpatient rehabilitation hospital.
Population: Analyzed subjects consisted of 201 patients with chronic low back pain (40% men; mean age 48±12 years).
Methods: Confirmatory (CFA) and then Exploratory Factor Analysis (EFA), and Rasch analysis were used.
Results: CFA could not provide a satisfactory one-factor solution. Thus, according to a preliminary parallel analysis, two factor structures were examined: 1) a single-factor solution, that showed good model fit according to Goodness of Fit Index and Comparative Fit Index, acceptable fit according to Root Mean Square Error of Approximation, and poor fit according to Standardized Root Mean Square of Residuals; and 2) a bi-factor solution, both showing a good fit in all 4 indices. The Explained Common Variance Index was 0.87. Thus, it was considered appropriate to apply Rasch analysis to our QBPDS data. Four items underfit the Rasch model and showed (two by two) local dependency. Removing these 4 misfitting items resulted in an acceptable fit to the Rasch model of the 16 remaining items.
Conclusions: All results pointed towards an essential unidimensionality of the QBPDS. Thus, we suggest to provisionally use the full QBPDS and its global score, pending further research on scale's construct validity. If the suboptimal performance of 4 items would be confirmed, the deletion of some of them could improve the metric quality of the scale.
Clinical Rehabilitation Impact: This study fills an evidence gap on important measurement properties of the QBPDS (namely, dimensionality and internal construct validity), thus representing a useful step towards the definition of the more suitable outcome measures for research and clinical practice in nonspecific chronic LBP.
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http://dx.doi.org/10.23736/S1973-9087.21.06502-3 | DOI Listing |
J Adv Nurs
January 2025
Dipartimento Scienze Della Salute, Università degli Studi di Genova, Genova, Italy.
Aim(s): To adapt and validate the HSOPS 2 instrument for the Italian context and to describe the current patient safety culture amongst healthcare personnel working in Italian hospitals.
Design: Cross-sectional study.
Methods: We adapted and validated the HSOPS 2 instrument following the COSMIN guidelines: we performed a forward-backward translation, calculated the content validity index, evaluated face validity, acceptability (percentage of participants responding to all items on the questionnaire and to every specific item), construct validity (confirmatory factor analysis), and internal consistency (Cronbach's alpha for each dimension).
Eur J Nucl Med Mol Imaging
January 2025
Department of Nuclear Medicine, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Changsha, Hunan, 410008, P.R. China.
Purpose: To develop and validate a prostate-specific membrane antigen (PSMA) PET/CT based multimodal deep learning model for predicting pathological lymph node invasion (LNI) in prostate cancer (PCa) patients identified as candidates for extended pelvic lymph node dissection (ePLND) by preoperative nomograms.
Methods: [Ga]Ga-PSMA-617 PET/CT scan of 116 eligible PCa patients (82 in the training cohort and 34 in the test cohort) who underwent radical prostatectomy with ePLND were analyzed in our study. The Med3D deep learning network was utilized to extract discriminative features from the entire prostate volume of interest on the PET/CT images.
Sci Rep
January 2025
School of Basic Medical Sciences, Shanghai University of Medicine and Health Sciences, Shanghai, 201318, China.
A growing number of biological and clinical reports indicate the usefulness of herbs in the treatment of complex human diseases, giving an essential supplement for modern medicine. Similar to drugs, the use of experimental validation to identify related diseases of given herbs is both expensive and time-consuming. Such validation is even more difficult because each herb always contains several components.
View Article and Find Full Text PDFSci Rep
January 2025
Emergency Medicine Laboratory and the Department of Emergency, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, Sichuan, China.
To develop and evaluate a predictive model for intensive care unit (ICU) admission among patients with acute sedative-hypnotic overdose. We conducted a retrospective analysis of patients admitted to the emergency department of West China Hospital, Sichuan University, between October 11, 2009, and December 31, 2023. Patients were divided into ICU and non-ICU groups based on admission criteria including the need for blood purification therapy, organ support therapy (ventilatory support, vasoactive drugs, renal replacement therapy, artificial liver), or post-cardiopulmonary resuscitation.
View Article and Find Full Text PDFZhonghua Yi Xue Za Zhi
January 2025
Department of Nuclear Medicine, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing100730, China.
To establish and validate a nomogram based on clinical characteristics and metabolic parameters derived from F-fluorodeoxyglucose positron emission tomography and computed tomography (F-FDG PET/CT) for prediction of high-grade patterns (HGP) in invasive lung adenocarcinoma. The clinical and PET/CT image data of 311 patients who were confirmed invasive lung adenocarcinoma and underwent pre-treatment F-FDG PET/CT scan in Beijing Hospital between October 2017 and March 2022 were retrospectively collected. The enrolled patients were divided into HGP group (196 patients) and non-HGP group (115 patients) according to the presence and absence of HGP.
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