Background: General Practitioners (GPs) report high levels of burnout, job dissatisfaction, and turnover intention. The complexity of presenting problems to general practice makes diagnostic uncertainty a common occurrence that has been linked to burnout. The interrelationship between diagnostic uncertainty with other factors such as burnout, job satisfaction and turnover intention have not been previously examined.
Objectives: To examine associations between diagnostic uncertainty, emotional exhaustion (EE), depersonalization (DP), job satisfaction, and turnover intention in GPs.
Methods: Seventy general practices in England were randomly selected through the Oxford-Royal College of General Practitioners Research and Surveillance Centre (RCGP-RSC). A total of 348 GPs within 67 these practices completed a 10-item online questionnaire which included questions on GP characteristics, work-life balance, job satisfaction, sickness presenteeism, diagnostic uncertainty, turnover intention as well as EE and DP. Associations between diagnostic uncertainty and each of EE, DP, job satisfaction, and turnover intention were evaluated in multivariate mixed-effect ordinal logistic regressions whilst adjusting for covariates, to account for the correlation in the three outcomes of interest.
Results: Almost one-third of GPs ( = 101; 29%) reported experiencing >10% of diagnostic uncertainty in their day-to-day practice over the past year. GPs reporting greater diagnostic uncertainty had higher levels of EE [OR = 3.90; 95% CI = (2.54, 5.99)], job dissatisfaction [OR = 2.01; 95% CI = (1.30, 3.13)] and turnover intention [OR = 4.51; 95% CI = (2.86, 7.11)]. GPs with no sickness presenteeism had lower levels of EE [OR = 0.53; 95% CI = (0.35, 0.82)], job dissatisfaction [OR = 0.56; 95% CI = (0.35, 0.88)], and turnover intention [OR = 0.61; 95% CI = (0.41, 0.91)].
Conclusion: Diagnostic uncertainty may not only negatively impact on the wellbeing of GPs, but could also have adverse implications on workforce retention in primary care.
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http://dx.doi.org/10.3389/fpsyt.2022.936067 | DOI Listing |
Dengue virus (DENV) is an increasingly important human pathogen, with already half of the globe's population living in environments with transmission potential. Since only a minority of cases are captured by direct detection methods (RT-PCR or antigen tests), serological assays play an important role in the diagnostic process. However, individual assays can suffer from low sensitivity and specificity and interpreting results from multiple assays remains challenging, particularly because interpretations from multiple assays may differ, creating uncertainty over how to generate finalized interpretations.
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Department of Medical Laboratory Science, College of Medicine and Health Sciences, Debre Markos University, 269, Debre Markos, Ethiopia.
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View Article and Find Full Text PDFPsychooncology
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Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, Colordo, USA.
Background: Advancements in precision oncology have led to a growing community of adults with advanced cancer who live longer but face prognostic uncertainty, with corresponding fears of the future. Their worst future fears related to cancer remain understudied, hindering support efforts.
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ESMO Open
December 2024
Cancer Institute and Blood Disorders, Hospital Clinic, Barcelona; Translational Genomics and Targeted Therapies in Solid Tumors, August Pi I Sunyer Biomedical Research Institute (IDIBAPS), Barcelona; Department of Medicine, University of Barcelona, Barcelona; Reveal Genomics, Barcelona; Breast Cancer Unit, IOB-QuirónSalud, Barcelona, Spain. Electronic address:
Therapies targeting human epidermal growth factor receptor 2 (HER2)-positive breast cancer significantly impact patient outcomes, quality of life, and health care systems. While chemotherapy and trastuzumab improve survival in early-stage HER2-positive breast cancer, variability in clinical and biological characteristics leads to different response to therapies and outcomes. Clinical guidelines provide general recommendations, but significant uncertainty persists in identifying an optimal treatment plan for individual patients.
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Methods: For GBD 2021, a systematic literature review involving searches in PubMed, Embase, PsycINFO, the Global Health Data Exchange, and consultation with experts identified data on the epidemiology of autism spectrum disorder.
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