Objectives: Concerns about medical errors have recently increased. An understanding of how patients conceptualise medical error would help health care providers to allay safety concerns and increase patient satisfaction. The aim of this study was to evaluate patients' worries about medical errors and their relationship with patient characteristics and satisfaction.
Methods: This descriptive cross-sectional study was done in the Emergency Department (ED) of a university hospital over a one week period in October 2008. A questionnaire was used to assess patients' worries about medical errors and their satisfaction levels both at an initial interview and by telephone 7 days after discharge. Data were gathered and analysed by χ2, t-tests and logistic regression.
Results: Of 638 patients interviewed, 61.6% declared their satisfaction rate as good to excellent; (93 [14.6%] as poor; 152 [23.8%] as fair; 296 [46.4%] as good; 97 [15.2%] as excellent). A total of 48.3% of patients (44.5-52%, with confidence interval 95%) were concerned about the occurrence of at least one medical error. There was a clear relationship between the general satisfaction rate and having at least one concern about a medical error (Chi-square, P <0.001).
Conclusion: This study showed that many patients were concerned about medical errors during their emergency care. Due to the stressful situation in EDs, patients' safety and satisfaction could be improved by a better understanding of patient concerns, education of ED staff and an improvement in the patient-doctor relationship.
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http://dx.doi.org/10.12816/0003092 | DOI Listing |
Nurs Res Pract
January 2025
Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Unlabelled: Artificial intelligence (AI) is constantly improving the quality of medical procedures. Despite the application of AI in the healthcare industry, there are conflicting opinions among professionals, and limited research on its practical application in Saudi Arabia was conducted.
Aim: To assess the nurses' knowledge regarding the application of AI in practice at one of the Ministry of Health hospitals in Saudi Arabia.
J Allergy Clin Immunol Glob
February 2025
Department of Molecular Medicine, Sapienza University, Rome, Italy.
Background: Many patients with X-linked agammaglobulinemia (XLA) nowadays have reached adulthood, as well as their sisters, possibly carriers of a deleterious Bruton tyrosine kinase variant. Studies on motherhood outcomes in families with XLA are lacking.
Objective: We sought to investigate adherence to carrier status screening, interest in preconception and prenatal genetic counseling, and reproductive decisions in relatives with XLA.
J Med Surg Public Health
December 2024
College of Nursing, Michigan State University, Michigan, Life Science, 1355 Bogue St Room A218, East Lansing, MI 48824, USA.
In-hospital cardiac arrest (IHCA) has been understudied relative to out-of-hospital cardiac arrest. Further, studies of IHCA have mainly focused on a limited number of pre-arrest patient characteristics (e.g.
View Article and Find Full Text PDFBiomed Res Int
January 2025
Department of Maxillofacial Surgery, University Hospital "Medika", Ruse, Bulgaria.
The brachial plexus is the primary nerve source for the upper limb. Variations in its anatomy can alter the nerve supply to the upper extremity. Such deviations are clinically important, as they can change the symptomatology of various pathologic conditions, leading to misdiagnosis, inadequate treatment, and surgical failures as a consequence.
View Article and Find Full Text PDFCureus
December 2024
Internal Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, THA.
Recent research suggests that tuberculosis (TB) may pose a potential risk factor for osteoporosis, although the available evidence remains limited. This study aimed to comprehensively assess osteoporosis risk in TB patients through systematic review and meta-analysis methodology. Two investigators independently conducted a literature search using the Medical Literature Analysis and Retrieval System Online (MEDLINE) and Excerpta Medica Database (EMBASE) databases up to April 2024.
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