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Background: The Revised Patient Perception of Patient-Centeredness (PPPC-R) scale was originally formulated in English to examine patient-centeredness.
Objective: To translate and validate the PPPC-R questionnaire into Arabic.
Methodology: Translating the PPPC-R into Arabic involved forward and back translations by bilingual experts. Content validity was checked through the Item and Scale Content Validity Indices. The instrument underwent pilot testing and was then completed by 179 patients in the emergency department to examine construct validity using both confirmatory and exploratory factor analyses. Reliability was tested using Cronbach’s alpha to ensure internal consistency.
Results: The Item Content Validity Index ranged between 0.66 and 1, and the Scale Content Validity Index was 0.96. Initial confirmatory factor analysis of the Arabic-PPPC-R revealed an inadequate fit, prompting an exploratory factor analysis with Promax rotation, which identified three factors that explained 66.3% of the variance. The refined model, tested again using confirmatory factor analysis, demonstrated an acceptable fit with improved statistical measures, including CFI and TLI values above 0.90 and RMSEA of 0.07. Reliability testing revealed high internal consistency with a Cronbach’s alpha of 0.949 for the full scale and between 0.889 and 0.906 for the individual subscales.
Conclusion: The study findings showed that the Arabic version of the PPPC-R has good structural characteristics and is a reliable and valid instrument for measuring patient-centeredness.
Supplementary Information: The online version contains supplementary material available at 10.1186/s12913-025-13191-w.
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http://dx.doi.org/10.1186/s12913-025-13191-w | DOI Listing |
J Med Internet Res
September 2025
Department of Precision Medicine, Faculty of Health, Medicine and Life Sciences, Maastricht University, Universiteitssingel 40, Maastricht, 6229 ER, The Netherlands, 31 433883549.
Background: Making informed decisions about clinical trial participation can be overwhelming for patients due to the complexity of trial information, potential risks and benefits, and the emotional burden of a recent diagnosis. Patient decision aids (PDAs) simplify this process by providing clear information on treatment options, empowering patients to actively participate in shared decision-making with their doctors. While PDAs have shown promise in various health care contexts, their use in clinical trials, particularly in the form of trial-specific patient decision aids (tPDAs), remains underused.
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Department of Otolaryngology-Head and Neck Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Objective(s): To evaluate the quality, reliability and accuracy of hyperthyroidism-related content on TikTok using validated assessment tools.
Methods: We systematically searched TikTok for 'hyperthyroid' and 'high thyroid', analysing 115 videos after exclusions. Two independent researchers assessed videos using the Global Quality Scale (GQS, range 0-5) for overall content quality, the modified DISCERN (mDISCERN, range 0-5) for reliability and the Accuracy in Digital Information (ANDI, range 0-4) tool for factual correctness.
J Sep Sci
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Programa De Pós-Graduação em Química, Universidade Federal de Sergipe, São Cristóvão, Sergipe, Brazil.
Secondary metabolites are important bioactive compounds for diet and medicine. This study optimizes the extraction of hydroethanolic herbal extracts using an EDGE (Energized Dispersive Guided Extraction) system, evaluates their antioxidant capacity, and analyzes correlations among antioxidant activity, total phenolic content, and individual compounds. A Doehlert matrix design was used to optimize extraction, having temperature and time as independent variables, and total phenolic content (mg GAE/g) as the response, quantified via the Folin-Ciocalteu method.
View Article and Find Full Text PDFBMC Med Educ
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School of Dentistry, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
Theor Appl Genet
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Institute for Breeding Research on Agricultural Crops, Julius Kühn Institute (JKI) - Federal Research Centre for Cultivated Plants, Sanitz, 18190, Germany.
Low-cost and high-throughput RNA sequencing data for barley RILs achieved GP performance comparable to or better than traditional SNP array datasets when combined with parental whole-genome sequencing SNP data. The field of genomic selection (GS) is advancing rapidly on many fronts including the utilization of multi-omics datasets with the goal of increasing prediction ability and becoming an integral part of an increasing number of breeding programs ensuring future food security. In this study, we used RNA sequencing (RNA-Seq) data to perform genomic prediction (GP) on three related barley RIL populations.
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