Background: The Operationalized Psychodynamic Diagnosis (OPD-2) is internationally established as one of the major instruments available for clinical diagnosis and scientific research, being frequently used as an auxiliary tool in the selection of therapeutic interventions.
Aims: 1) To describe the methodological aspects of the adaptation of the OPD-2 into Portuguese (Portugal and Brazil). 2) To assess inter-rater agreement for the different axes of the instrument when scoring clinical interviews.
Method: The cross-cultural adaptation involved translation of the instrument by different independent translators, whose versions were compared in discussion groups in order to develop a final Portuguese version. In the presence of discrepancies regarding the translation of original concepts, the authors of the original instrument were contacted for clarification. Five interviews were used to assess inter-rater agreement. Each subject participated in two interviews, conducted by an experienced clinical psychologist. The interviews were recorded, transcribed and then analyzed by the principal investigator and by three independent examiners.
Results: Axis IV (Structure) presented the highest inter-rater agreement (78%). Axes I (Experience of illness and prerequisites for treatment) and III (Conflict) showed the lowest inter-rater agreement results (66 and 57.7%, respectively).
Conclusions: Our results point in the same direction as previous studies conducted in other countries. In our sample, the OPD-2 presented an acceptable inter-rater agreement; however, further studies are needed to assess the instrument's reliability.
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http://dx.doi.org/10.1590/s2237-60892012000300004 | DOI Listing |
Sci Rep
January 2025
Department of Electrical, Computer, and Biomedical Engineering, Toronto Metropolitan University, Toronto, ON, Canada.
Pathology provides the definitive diagnosis, and Artificial Intelligence (AI) tools are poised to improve accuracy, inter-rater agreement, and turn-around time (TAT) of pathologists, leading to improved quality of care. A high value clinical application is the grading of Lymph Node Metastasis (LNM) which is used for breast cancer staging and guides treatment decisions. A challenge of implementing AI tools widely for LNM classification is domain shift, where Out-of-Distribution (OOD) data has a different distribution than the In-Distribution (ID) data used to train the model, resulting in a drop in performance in OOD data.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
Institute of Diagnostic and Interventional Radiology, GZO Regional Health Center, 8620 Wetzikon, Switzerland.
Objective: This study develops a BI-RADS-like scoring system for vascular microcalcifications in mammographies, correlating breast arterial calcification (BAC) in a mammography with coronary artery calcification (CAC), and specifying differences between microcalcifications caused by BAC and microcalcifications potentially associated with malignant disease.
Materials And Methods: This retrospective single-center cohort study evaluated 124 consecutive female patients (with a median age of 57 years). The presence of CAC was evaluated based on the Agatston score obtained from non-enhanced coronary computed tomography, and the calcifications detected in the mammography were graded on a four-point Likert scale, with the following criteria: (1) no visible or sporadically scattered microcalcifications, (2) suspicious microcalcification not distinguishable from breast arterial calcification, (3) minor breast artery calcifications, and (4) major breast artery calcifications.
Ophthalmic Physiol Opt
January 2025
Department of Optometry and Vision Science, Hadassah Academic College, Jerusalem, Israel.
Purpose: Reliable assessment is critical for diagnosing and managing meibomian gland dysfunction. Multi-functional diagnostic devices, such as meibographers, streamline clinical workflows by integrating multiple ocular assessments. Ensuring reproducibility across examiners is vital for accurate diagnosis and monitoring of treatment.
View Article and Find Full Text PDFJ Rehabil Med
January 2025
University of Florence, Department of Experimental and Clinical Medicine, Firenze, Italy; IRCCS Fondazione Don Carlo Gnocchi, Firenze, Italy.
Background: The Motricity Index (MI) is a commonly used method of measuring muscle strength in post-stroke hemiparesis. This study aimed to produce the MI Italian version (MI-IT) and assess its reliability in subjects with stroke.
Methods: Phase-1: stepwise approach to MI-IT production and pilot-testing with 10 health professionals to ensure clarity of each item and instructions for administration and scoring.
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