IRCCS Istituto "Giannina Gaslini", Genova, Italy; Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genova, Genova, Italy.
Department of Neurology, Haeundae Paik Hospital, Inje University College of Medicine, Haeundae-ro 875, Haeundae-gu, Busan, 48108, Republic of Korea. smilepkm@hanmail.net.
The reasons underlying prolonged waiting lists for surgery in Ireland are multifactorial. Patient-related factors including non-attendances contribute in part to the current waiting times....
To determine the rate of short notice cancellation for day case surgery in a model 2 HSE hospital over a 1-month period and to implement an intervention to try and reduce the rate of cancellation....
The cancellation rate was documented over a 1-month period in the hospital. An intervention was then implemented, involving a phone call to the patient from a member of the surgical team to attempt to...
The initial audit revealed a cancellation rate of 39.7% during the first month prior to implementation of the phone intervention. A phone call intervention from a member of the surgical team was assoc...
While cancellations remained high even after our intervention, a simple phone call was effective and more than halved our cancellation rate. Future efforts need to focus on increasing awareness of pat...
In these moments in which the pandemic seems to have granted a truce, hospitals are beginning to normalize their care activity and data on waiting lists have begun to regain their prominence as they a...
Prioritising elective surgery patients under the Australian three-category system is inherently subjective due to variability in clinician decision making and the potential for extraneous factors to i...
to construct and assess an educational technology for managing patient waiting lists for multidisciplinary training....
study supported by Instructional Design - ADDIE model, whose stages of construction of educational technology were developed in the form of a multi-professional training course. Its respective content...
seventeen products were created as educational technology learning objects: five storyboards; four videos; three comic books; two pedagogical action plans; a mind map; and a YouTube® playlist. Nine ex...
this educational technology contributes to the performance of professionals who manage waiting lists by reducing inequalities, alleviating differences, in addition to promoting equity in care and good...
To describe the reasons reported by individuals in hemodialysis that were not registered on kidney transplantation waiting lists....
Cross-sectional study conducted in six renal replacement therapy services in Rio Grande do Sul, Brazil with 214 individuals undergoing hemodialysis who reported the reasons for not being registered on...
The main reasons reported by the 214 individuals who were not registered on kidney transplantation waiting lists were due to the lack of information of the individuals, not wanting to be on list, due ...
The lack of information was associated with the variables low education, male, ≤ 5 years of time since diagnosis and ≤ 5 years in renal replacement therapy. The reason for not wanting to be on the lis...
Centralized management of queues helps to reduce the surgical waiting time in the publicly funded healthcare system, but this is not a reality in the Brazilian Unified Healthcare System (BUHS). We des...
Retrospective observational study of elective surgical requests (2016-2022) in a Brazilian general, public, tertiary university hospital. We recovered information regarding the inflows (indications), ...
We enrolled 82,844 indications in the PSI (2016-2022). The waiting time (median and interquartile range) in days decreased from 98(48;168) in 2016 to 14(3;152) in 2022 (p < 0.01). The same occurred wi...
Implementing a centralized list of surgical indications and developing queue management principles proved feasible, with effective rationing. It unprecedentedly demonstrated the decrease in the median...
LOGiC-Q is a prospective longitudinal qualitative study that explores the experiences of children and young people, and their families, who have been referred to the Gender Identity Development Servic...
Pediatric living donor liver transplantation (LDLT) remains infrequently performed in the United States and localized to a few centers. This study aimed to compare pediatric waiting list and posttrans...
The Scientific Registry of Transplant Recipients/Organ Procurement and Transplantation Network database was retrospectively reviewed for all pediatric (age <18 y) liver transplant candidates listed be...
Of 88 transplant centers, only 44 (50%) performed at least 1 pediatric LDLT during the study period. LDLT, DDPLT, and overall transplant center volume were all positively correlated. LDLT center volum...
High-volume pediatric LDLT center can improve waiting list survival, whereas DDPLT and overall volume are associated with posttransplant survival. Expertise in all types of pediatric liver transplant ...
To provide estimates for how different treatment pathways for the management of severe aortic stenosis (AS) may affect National Health Service (NHS) England waiting list duration and associated mortal...
We constructed a mathematical model of the excess waiting list and found the closed-form analytic solution to that model. From published data, we calculated estimates for how the strategies listed und...
The NHS in England....
Estimated patients with AS in England....
(1) Increasing the capacity for the treatment of severe AS, (2) converting proportions of cases from surgery to transcatheter aortic valve implantation and (3) a combination of these two....
In a capacitated system, clearing the backlog by returning to pre-COVID-19 capacity is not possible. A conversion rate of 50% would clear the backlog within 666 (533-848) days with 1419 (597-2189) dea...
A strategy change to the management of severe AS is required to reduce the NHS backlog and waiting list deaths during the post-COVID-19 'recovery' period. However, plausible adaptations will still inc...
To model the referral, diagnostic and treatment pathway for cardiovascular disease (CVD) in the English National Health Service (NHS) to provide commissioners and managers with a methodology to optimi...
A systems dynamics approach modelling the CVD healthcare system in England. The model is designed to capture current and predict future states of waiting lists....
Routinely collected, publicly available data streams of primary and secondary care, sourced from NHS Digital, NHS England, the Office of National Statistics and StatsWales....
The data used to train and validate the model were routinely collected and publicly available data. It was extracted and implemented in the model using the PySD package in python....
NHS cardiovascular waiting lists in England have increased by over 40% compared with pre- COVID-19 levels. The rise in waiting lists was primarily due to restrictions in referrals from primary care, c...
The increase in NHS CVD waiting lists in England can be captured using a systems dynamics approach, as can the future state of waiting lists in the presence of further shocks/interventions. It is impo...
