Objective: The aim of this observational study was twofold. First, we examined how often and which roles informal interpreters performed during consultations between Turkish-Dutch migrant patients and general practitioners (GPs). Second, relations between these roles and patients' and GPs' perceived control, trust in informal interpreters and satisfaction with the consultation were assessed.
Methods: A coding instrument was developed to quantitatively code informal interpreters' roles from transcripts of 84 audio-recorded interpreter-mediated consultations in general practice. Patients' and GPs' perceived control, trust and satisfaction were assessed in a post consultation questionnaire.
Results: Informal interpreters most often performed the conduit role (almost 25% of all coded utterances), and also frequently acted as replacers and excluders of patients and GPs by asking and answering questions on their own behalf, and by ignoring and omitting patients' and GPs' utterances. The role of information source was negatively related to patients' trust and the role of GP excluder was negatively related to patients' perceived control.
Conclusion: Patients and GPs are possibly insufficiently aware of the performed roles of informal interpreters, as these were barely related to patients' and GPs' perceived trust, control and satisfaction.
Practice Implications: Patients and GPs should be educated about the possible negative consequences of informal interpreting.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.pec.2018.01.012 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Deep Equilibrium Unfolding Learning for Noise Estimation and Removal in Optical Molecular Imaging.
Comput Med Imaging Graph
January 2025
CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China; National Key Laboratory of Kidney Diseases, Beijing 100853, China. Electronic address:
In clinical optical molecular imaging, the need for real-time high frame rates and low excitation doses to ensure patient safety inherently increases susceptibility to detection noise. Faced with the challenge of image degradation caused by severe noise, image denoising is essential for mitigating the trade-off between acquisition cost and image quality. However, prevailing deep learning methods exhibit uncontrollable and suboptimal performance with limited interpretability, primarily due to neglecting underlying physical model and frequency information.
View Article and Find Full Text PDFDecentralized Management of Home Care Services for Seniors: Protocol for a Participatory Action Research.
JMIR Res Protoc
January 2025
Université de Sherbrooke, Sherbrooke, QC, Canada.
Background: The centralization of decision-making power in the public health care system has a negative impact on the practice of professionals and the quality of home care services (HCS) for seniors. To improve HCS, decentralized management could be a particularly promising approach. To be effective, strategies designed to incorporate this management approach require attention to 3 elements: autonomy of local stakeholders, individual and organizational capacities, and accountability for actions and decisions.
View Article and Find Full Text PDFBeyond the Dailey-Townes Model: Chemical Information from the Electric Field Gradient.
J Phys Chem A
January 2025
Laboratoire de Chimie et Physique Quantique, UMR 5626 CNRS - Université Toulouse III-Paul Sabatier, 118 Route de Narbonne, F-31062 Toulouse, France.
In this work, we reexamine the Dailey-Townes model by systematically investigating the electric field gradient (EFG) in various chlorine compounds, dihalogens, and the uranyl ion (). Through the use of relativistic molecular calculations and projection analysis, we decompose the EFG expectation value in terms of atomic reference orbitals. We show how the Dailey-Townes model can be seen as an approximation to our projection analysis.
View Article and Find Full Text PDFMotion-Compensated Multishot Pancreatic Diffusion-Weighted Imaging With Deep Learning-Based Denoising.
Invest Radiol
January 2025
From the Department of Radiology, Stanford University, Stanford, CA (K.W., M.J.M., A.M.L., A.B.S., A.J.H., D.B.E., R.L.B.); Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA (K.W.); GE HealthCare, Houston, TX (X.W.); GE HealthCare, Boston, MA (A.G.); and GE HealthCare, Menlo Park, CA (P.L.).
Objectives: Pancreatic diffusion-weighted imaging (DWI) has numerous clinical applications, but conventional single-shot methods suffer from off resonance-induced artifacts like distortion and blurring while cardiovascular motion-induced phase inconsistency leads to quantitative errors and signal loss, limiting its utility. Multishot DWI (msDWI) offers reduced image distortion and blurring relative to single-shot methods but increases sensitivity to motion artifacts. Motion-compensated diffusion-encoding gradients (MCGs) reduce motion artifacts and could improve motion robustness of msDWI but come with the cost of extended echo time, further reducing signal.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!