Background: Our aim was to evaluate the use of indwelling, intermittent and external urinary catheters in neurogenic and non-neurogenic bladder patients in the Netherlands from 1997 to 2018.
Methods: Data were retrieved from a population-based cohort containing information about the extramural use of medical devices in the insured population in the Netherlands. The insured population increased from 9.9 million people in 1997 to 17.1 million people in 2018 (64-100% of the Dutch population). Users are expressed by users per 100,000 insured people and total users, corrected for the overall Dutch population. The expenditures are corrected for inflation and expressed by total costs and costs per user.
Results: During this 21-year period, indwelling catheter (IC) users doubled from 159 per 100,000 people (24,734 users) to 315 per 100,000 people (54,106 users). Clean intermittent catheter (CIC) users increased from 92 per 100,000 people (14,258 users) in 1997 to 267 per 100,000 people (45,909 users) in 2018. Of all users, 20.7% had an associated neurogenic disorder and 44.9% a non-neurogenic disorder in 2018. The total expenditure on extramural use of urinary catheters increased from 27.7 million euros in 1997 to 84.4 million euros in 2018. IC costs increased from 6.0 million euros in 1997 to 6.7 million euros in 2018, while CIC costs rose from 16.4 million euros to 74.6 million euros. Urine drainage bag costs decreased from 17.2 million in 2001 to 5.3 million in 2018.
Conclusions: IC use has increased substantially over the past 21 years, despite the fact that CIC use increased as well. It seems that the main driver behind the prevalence in IC and CIC use, is the rise in incontinence care in older patients and the adaption of preferred CIC use in professional guidelines. At least one fifth of all users catheterize due to neurogenic reasons.
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http://dx.doi.org/10.1177/17562872211007625 | DOI Listing |
J Med Internet Res
January 2025
School of Business, Innovation and Sustainability, Halmstad University, Halmstad, Sweden.
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January 2025
School of Management, University of Scienceand Technology of China, Hefei, Anhui, China.
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View Article and Find Full Text PDFPLoS One
January 2025
École de Bibliothéconomie et des Sciences de l'information, Université de Montréal, 3150 rue Jean-Brillant, Montréal, QC, Canada.
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January 2025
Computational Media Lab, University of Texas at Austin, Austin, Texas, United States of America.
Instead of turning to emergency phone systems, social media platforms, such as Twitter, have emerged as alternative and sometimes preferred venues for members of the public in the US to communicate during hurricanes and other natural disasters. However, relevant posts are likely to be missed by responders given the volume of content on platforms. Previous work successfully identified relevant posts through machine-learned methods, but depended on human annotators.
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January 2025
School of Marxism, Central South University, Changsha, China.
Since the dissemination of information is more rapid and the scale of users on online platforms is enormous, the public opinion risk is more visible and harder to tackle for universities and authorities. Improving the accuracy of predictions regarding online public opinion crises, especially those related to campuses, is crucial for maintaining social stability. This research proposes a public opinion crisis prediction model that applies the Grey Wolf Optimizer (GWO) algorithm combined with long short-term memory (LSTM) and implements it to analyze a trending topic on Sina Weibo to validate its prediction accuracy.
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