Background: Scoliosis has been shown to affect quality of life of young people. There can be a lengthy wait for surgery. We aim to assess whether the length of time waiting for surgery has an impact on quality of life and surgical outcomes.
Methods: Patients who were waiting for or had completed surgery for paediatric spinal deformity in the last 3 years were contacted and asked to complete the Scoliosis Research Society-30 (SRS-30) questionnaire as well as a questionnaire designed to specifically assess the impact of waiting for surgery. Hospital records and X-rays were reviewed to determine surgical outcomes.
Results: Longer waiting time was associated with both lower SRS scores (0.13 points per 6 months, P = 0.01) and lower wait time questionnaire values (0.12 points per 6 months, P < 0.01). Within the SRS-30 questionnaire, pain, satisfaction with management and self-image domains showed a statistically significant decrease with increasing wait time (P = 0.02, 0.05, >0.01 respectively). Cobb angles progressed with increased waiting time, but progression was not statistically significant. No correlation was found between waiting times and the other surgical outcomes measured (surgical duration, hospital stay, blood transfusion, return to theatre or other complications).
Conclusion: Increased waiting time for surgery has a negative impact on quality of life of patients with scoliosis.
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http://dx.doi.org/10.1111/ans.12196 | DOI Listing |
J Neurol Sci
December 2024
Department of Industrial Engineering, Faculty of Engineering, Dalhousie University, Halifax, Canada; Division of Neurology, Department of Medicine, Dalhousie University, Halifax, Canada; Department of Community Health and Epidemiology, Faculty of Medicine, Dalhousie University, Halifax, Canada.
Background: Fast treatment is crucial for ischemic stroke patients; the probability of good patient outcomes increases with faster treatment. Treatment times can be improved by making changes to the treatment process. However, it is challenging to identify the benefits of changes prior to implementation.
View Article and Find Full Text PDFBone Joint J
January 2025
Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK.
Aims: Prolonged waits for hip and knee arthroplasty have raised questions about the equity of current approaches to waiting list prioritization for those awaiting surgery. We therefore set out to understand key stakeholder (patient and surgeon) preferences for the prioritization of patients awaiting such surgery, in order to guide future waiting list redesign.
Methods: A combined qualitative/quantitative approach was used.
Int Emerg Nurs
December 2024
Higher colleagues of technology Higher colleagues of Technology, Faculty of Health Science, Nursing Program, Fujairah, United Arab Emirates.
Background: Long waiting times in emergency departments (EDs) are a major challenge for healthcare systems worldwide. These extended delays can have a profound negative impact on patient quality of life, leading to increased stress, anxiety, and even deterioration in health conditions.
Purpose: identify factors that contribute to low satisfaction levels and long waiting times in EDs in the United Arab Emirates (UAE).
PLOS Glob Public Health
December 2024
Laboratory Biology, Engineering and Imaging for Ophthalmology, Health Innovation Campus, Faculty of Medicine, University Jean Monnet, Saint-Etienne, France.
Corneal graft (keratoplasty) is the most common allograft in the world, but the imbalance between the number of donors and the number of patients waiting for transplants is abysmal on a global scale and varies enormously from one country to another. The risk of transmission of systemic diseases from donor to recipient is demonstrably low. In over 50 years and an estimated 2.
View Article and Find Full Text PDFSci Rep
December 2024
Shandong University of Science and Technology, College of Transportation, Qingdao, 266590, China.
The optimization of auto parts supply chain logistics plays a decisive role in the development of the automotive industry. To reduce logistics costs and improve transportation efficiency, this paper addresses the joint optimization problem of multi-vehicle pickup and delivery transportation paths under time window constraints, coupled with the three-dimensional loading of goods. The model considers mixed time windows, three-dimensional loading constraints, cyclic pickup and delivery paths, varying vehicle loads and volumes, flow balance, and time window constraints.
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