Background: Today, in several north-western European countries, patients are encouraged to choose, actively, a healthcare provider. However, patients often visit the provider that is recommended by their general practitioner (GP). The introduction of patient choice requires GPs to support patients to be involved, actively, in the choice of a healthcare provider. We aim to investigate whether policy on patient choice is reflected in practice, i.e. what the role of the patient is in their choices of healthcare providers at the point of referral and to what extent GPs' and patients' healthcare paths influence the role that patients play in the referral decision.
Methods: In 2007-2008, we videotaped Dutch GP-patient consultations. For this study, we selected, at random, 72 videotaped consultations between 72 patients and 39 GPs in which the patient was referred to a healthcare provider. These were analysed using an observation protocol developed by the researchers.
Results: The majority of the patients had little or no input into the choice of a healthcare provider at the point of referral by their GP. Their GPs did not support them in actively choosing a provider and the patients often agreed with the provider that the GP proposed. Patients who were referred for diagnostic purposes seem to have had even less input into their choice of a provider than patients who were referred for treatment.
Conclusions: We found that the GP chooses a healthcare provider on behalf of the patient in most consultations, even though policy on patient choice expects from patients that they choose, actively, a provider. On the one hand, this could indicate that the policy needs adjustments. On the other hand, adjustments may be needed to practice. For instance, GPs could help patients to make an active choice of provider. However, certain patients prefer to let their GP decide as their agent. Even then, GPs need to know patients' preferences, because in a principal-agent relationship, it is necessary that the agent is fully informed about the principal's preferences.
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http://dx.doi.org/10.1186/1471-2296-14-189 | DOI Listing |
Medicine (Baltimore)
January 2025
Department of Cardiovascular Medicine, the Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, China.
Background: Parkinson's disease is a progressive neurodegenerative disease and the care burden in informal caregivers is huge. Summarizing factors associated with the informal caregivers burden can improve our understanding of providing proactive support to informal caregivers caring for patients with Parkinson's disease (PwP) at risk, and provides evidence for clinical practice.
Methods: PRISMA guidelines were followed in this systematic review.
JMIR Form Res
January 2025
Brown University, Department of Behavioral and Social Sciences, Providence, RI, United States.
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Objective: This study aimed to design a short and pragmatic digital MT program with input from clinicians specifically to address burnout and to test its efficacy in physicians.
Am J Health Promot
January 2025
College of Social Work, University of South Carolina, Columbia, SC, USA.
Purpose: Artificially Intelligent (AI) chatbots have the potential to produce information to support shared prostate cancer (PrCA) decision-making. Therefore, our purpose was to evaluate and compare the accuracy, completeness, readability, and credibility of responses from standard and advanced versions of popular chatbots: ChatGPT-3.5, ChatGPT-4.
View Article and Find Full Text PDFPLoS One
January 2025
Research Service and Pulmonary Section Medical Service, Veterans Affairs Ann Arbor Health System, Ann Arbor, Michigan, United States of America.
Deployment-related constrictive bronchiolitis (DRCB) has emerged as a health concern in military personnel returning from Southwest Asia. Exposure to smoke from a fire at the Al-Mishraq sulfur enrichment facility and/or burn pits was reported by a subset of Veterans diagnosed with this disorder. DRCB is characterized by thickening and fibrosis of small airways (SA) in the lung, but whether these are related to toxin inhalation remains uncertain.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Radiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
To evaluate the diagnostic accuracy of artificial intelligence (AI) assisted radiologists and standard double-reading in real-world clinical settings for rib fractures (RFs) detection on CT images. This study included 243 consecutive chest trauma patients (mean age, 58.1 years; female, 166) with rib CT scans.
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