Background: Physicians' erroneous assumptions about individuals with intellectual disability (ID) negatively impact the quality of care provided to this population. This study aimed to investigate the psychometric properties of the Beliefs About Adults with ID (BAID), an instrument we developed for measuring physicians' erroneous assumptions about adults with ID.
Methods: Two hundred ninety-two American physicians participated. Classical test theory and Rasch measurement theory were used to refine the scale (through item analysis, exploratory factor analysis, infit and outfit mean-squares statistics, and differential item functioning) and investigate its psychometric properties (functioning of the response scale, reliability, and validity).
Results: The BAID provided a unidimensional, reliable, valid, and precise measure in assessing high levels of erroneous assumptions. It showed convergent and divergent validity with the different factors of a scale measuring attitudes towards ID. The BAID items were discriminant, non-redundant, unambiguous, and invariant across gender and previous ID training. The BAID response scale was found to be appropriate for measuring physicians' erroneous assumptions about adults with ID.
Conclusions: BAID is a brief instrument with good psychometric properties to assess erroneous assumptions about adults with ID in physicians of different genders and who have/have not previously received ID training. Therefore, it might be helpful for research and medical education purposes.
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http://dx.doi.org/10.1111/jir.13143 | DOI Listing |
Glob Ecol Biogeogr
October 2024
Department of Biology, University of Fribourg, Switzerland and Swiss Institute of Bioinformatics, Fribourg, Switzerland.
Aim: Species age, the elapsed time since origination, can give insight into how species longevity might influence eco-evolutionary dynamics, which has been hypothesized to influence extinction risk. Traditionally, species' ages have been estimated from fossil records. However, numerous studies have recently used the branch lengths of time-calibrated phylogenies as estimates of the ages of extant species.
View Article and Find Full Text PDFJ Proteome Res
December 2024
Department of Artificial Intelligence, Hanyang University, Seoul 04763, Republic of Korea.
peptide sequencing is a valuable technique in mass-spectrometry-based proteomics, as it deduces peptide sequences directly from tandem mass spectra without relying on sequence databases. This database-independent method, however, relies solely on imperfect scoring functions that often lead to erroneous peptide identifications. To boost correct identification, we present NovoRank, a postprocessing tool that employs spectral clustering and machine learning to assign more plausible peptide sequences to spectra.
View Article and Find Full Text PDFVaccine
February 2025
TCD Biostatistics Unit, Discipline of Public Health and Primary Care, School of Medicine, Trinity College Dublin, Dublin, Ireland. Electronic address:
The safety and efficacy of vaccination is a subject contentious in the public mind. Despite overwhelming evidence of their benefits to public health, COVID-19 and human papilloma virus (HPV) vaccines have been the focus of intense concerns. While the original phase III trials and post-market phase IV studies have continued to show their benefits and positive safety profile, some authors have attempted to reassess the original trial data, purporting to showing hidden harms for both COVID-19 and HPV vaccines.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
December 2024
School of Pharmacy, University of Washington, 1959 NE Pacific Street, Box 357630, Seattle, WA, 98195, USA.
Background: Interactive artificial intelligence tools such as ChatGPT have gained popularity, yet little is known about their reliability as a reference tool for healthcare-related information for healthcare providers and trainees. The objective of this study was to assess the consistency, quality, and accuracy of the responses generated by ChatGPT on healthcare-related inquiries.
Methods: A total of 18 open-ended questions including six questions in three defined clinical areas (2 each to address "what", "why", and "how", respectively) were submitted to ChatGPT v3.
Infect Dis Model
March 2025
Department of Mathematics and Statistics, Mathematical Sciences Building, University of Calgary, Calgary, T2N 1N4, AB, Canada.
Human behaviour significantly affects the dynamics of infectious disease transmission as people adjust their behavior in response to outbreak intensity, thereby impacting disease spread and control efforts. In recent years, there have been efforts to incorporate behavioural change into spatio-temporal individual-level models within a Bayesian MCMC framework. In this past work, parametric spatial risk functions were employed, depending on strong underlying assumptions regarding disease transmission mechanisms within the population.
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