Background: Assessment of current wait times for specialist health services in Canada is a key method that can assist government and health care providers to plan wisely for future health needs. These data are not readily available. A method to capture wait time data at the time of consultation or procedure has been developed, which should be applicable to other specialist groups and also allows for assessment of wait time trends over intervals of years.
Methods: In November 2008, gastroenterologists across Canada were asked to complete a questionnaire (online or by fax) that included personal demographics and data from one week on at least five consecutive new consultations and five consecutive procedure patients who had not previously undergone a procedure for the same indication. Wait times were collected for 18 primary indications and results were then compared with similar survey data collected in 2005.
Results: The longest wait times observed were for screening colonoscopy (201 days) and surveillance of previous colon cancer or polyps (272 days). The shortest wait times were for cancer-likely based on imaging or physical examination (82 days), severe or rapidly progressing dysphagia or odynophagia (83 days), documented iron deficiency anemia (90 days) and dyspepsia with alarm symptoms (99 days). Compared with 2005 data, total wait times in 2008 were lengthened overall (127 days versus 155 days; P<0.05) and for most of the seven individual indications that permitted data comparison.
Conclusion: Median wait times for gastroenterology services continue to exceed consensus conference recommended targets and have significantly worsened since 2005.
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http://dx.doi.org/10.1155/2010/246492 | DOI Listing |
Cureus
December 2024
General Surgery, Aneurin Bevan University Health Board, Newport, GBR.
Aim: To assess recent colonoscopies and CT scans in conjunction with the feacal immunochemical test (FIT) for possibly downgrading urgent suspected cancer (USC) referrals.
Methods: A retrospective single-centre study was conducted, including all USC referrals for colonoscopy in 2022, excluding anal cancers. The CT and colonoscopy findings for a two-year period prior to the referral, along with the FIT result (if done), were noted.
Aim: Opioid use disorder (OUD) is the problematic use of licit or illicit opioids. Thus far, the literature on biological sex differences in accessing treatment is scarce. Hence, we hypothesize that biological sex has a moderating effect on OUD treatment accessibility.
View Article and Find Full Text PDFCan J Kidney Health Dis
December 2024
Division of Nephrology, Department of Medicine, Centre Hospitalier de l'Université de Montréal, QC, Canada.
Purpose: Highly sensitized patients (HSPs) with kidney failure have limited access to kidney transplantation and poorer post-transplant outcomes. Prioritizing HSPs in kidney allocation systems and expanding the pool of deceased donors available to them has helped to reduce their wait times for transplant and enhanced post-transplant outcomes. The Canadian HSP Program was established by Canadian Blood Services in collaboration with provincial organ donation and transplantation programs throughout the country to increase transplant opportunities for transplant candidates needing very specific matches from deceased kidney donors.
View Article and Find Full Text PDFCureus
November 2024
Department of Emergency Medicine, Ibn Sina Hospital, Makkah, SAU.
Emergency departments (EDs) encounter substantial challenges during peak vacation periods, including increased patient volumes, limited access to medical histories, language and cultural barriers, insurance complexities, and disruptions in continuity of care. These factors strain emergency department operations, resulting in prolonged wait times, diagnostic errors, and compromised care quality. This study reviews the literature to identify patient satisfaction indicators and common challenges and evaluate strategies to improve patient outcomes during vacation-related emergency department visits.
View Article and Find Full Text PDFSci Rep
December 2024
School of Public Administration, Guangzhou University, Guangzhou, 510006, China.
The randomness and volatility of existing clean energy sources have increased the complexity of grid scheduling. To address this issue, this work proposes an artificial intelligence (AI) empowered method based on the Environmental, Social, and Governance (ESG) big data platform, focusing on multi-objective scheduling optimization for clean energy. This work employs a combination of Particle Swarm Optimization (PSO) and Deep Q-Network (DQN) to enhance grid scheduling efficiency and clean energy utilization.
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