Objective: This study sought to evaluate the experiences of individuals who chose to participate in a study and receive prenatal genomic sequencing (pGS) for fetuses with congenital structural anomalies.
Method: Individuals who received research results of prenatal sequencing were invited to participate in semi-structured interviews about their experiences. A constructivist grounded theory approach was used to code and analyze interviews.
Results: Thirty-three participants from 27 pregnancies were interviewed. Participants were motivated to enroll in the study to find out more about their fetus' condition and prepare for the future. The waiting period was a time of significant anxiety for participants. Most participants felt relief and closure upon receiving results, regardless of the category of result, and had a clear understanding of the implications of the results.
Conclusion: Participants' experiences with pGS were often intertwined with the experience of having a fetus with an abnormality. Participants were satisfied with the decision to participate in research and the support they received from the healthcare team, although waiting for results was associated with anxiety. The healthcare team plays an integral role in setting expectations and validating feelings of anxiety, fear and uncertainty.
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http://dx.doi.org/10.1002/pd.6153 | DOI Listing |
Cognition
January 2025
School of Human Evolution and Social Change, Arizona State University, 900 South Cady Mall, Tempe, AZ 85287, USA; Institute of Human Origins, Arizona State University, 777 E University Drive, Tempe, AZ 85287, USA.
Cultural evolutionary theory has shown that social learning is adaptive across a broad range of conditions. While existing theory can account for why some social information is ignored, humans frequently under-utilise beneficial social information in experimental settings. One account of this is epistemic vigilance, whereby individuals avoid social information that is likely to be untrustworthy, though few experiments have directly tested this.
View Article and Find Full Text PDFJ Tissue Viability
January 2025
Discipline of Podiatric Medicine, School of Health Sciences, University of Galway, Galway, H91 TK33, Ireland.
Background: Diabetic foot ulcers (DFUs) are a prevalent complication of diabetes. Individuals with DFUs can experience wound-related pain, which could be nociceptive and/or neuropathic in origin, which adversely affects health-related quality of life (HRQoL).
Aim: To determine the prevalence and characteristics of DFU-related pain and its impact on HRQoL in community-dwelling individuals with active DFUs.
BMC Musculoskelet Disord
January 2025
Leiden University Center for Infectious Diseases (LUCID), Infectious Diseases, Leiden University Medical Center, Leiden, the Netherlands.
Background: Multidisciplinary team (MDT) management of prosthetic joint infections (PJI) and other bone and joint infections (BJI) is increasingly put into practice. However, studies evaluating the performance of MDTs in this field are scarce. We aimed to assess our MDT for complex BJI by determining the implementation rate of team decisions, analyzing factors associated with non-implementation and evaluating the clinical outcome of patients in whom MDT decisions were not implemented.
View Article and Find Full Text PDFDiabetes Res Clin Pract
January 2025
Faculty for Health and Social Sciences, Molde University College, Norway; Chief municipal executive stab, Kristiansund municipality, Norway.
Aims: To evaluate the effectiveness of personalized lifestyle intervention service for persons with Type 2 diabetes (T2D), implemented in a real-world setting at two Healthy Life Centers (HLC) in Norway.
Methods: Persons with T2D were randomized into either an HLC intervention group or a usual care group for 12 weeks. All participants were screened using a questionnaire tool and had one initial patient-centred health conversation at the HLC.
Cogn Affect Behav Neurosci
January 2025
Aix Marseille Univ, Inserm, INS, Inst Neurosci Syst, Marseille, France.
Focusing on a single source within a complex auditory scene is challenging. M/EEG-based auditory attention detection (AAD) allows to detect which stream an individual is attending to within a set of multiple concurrent streams. The high interindividual variability in the auditory attention detection performance often is attributed to physiological factors and signal-to-noise ratio of neural data.
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