Objective: To evaluate the short-term and long-term impact of a centralized system for the intake and triage of rheumatology referrals on access to care and referral quality.
Methods: An innovative central referral process, the Central Referral and Triage in Rheumatology (CReATe Rheum) program, was implemented in 2006, serving a referral base of 2 million people. Referrals are received in a central office, triaged by trained nurses, and assigned to the next available appointment on a prioritized basis. To evaluate the short-term impact, we compared wait times, duplicate referrals, and no-shows from a pre-implementation practice audit to a 2-year post-implementation evaluation (January 2007 to December 2008). Rheumatologists also assessed the quality and completeness of the referral information and accuracy of the urgency category assigned during triage. We evaluated the long-term impact by tracking referral volume, wait times, and rheumatologist manpower each year until December, 2013.
Results: During the first 2 years, wait-time variability between rheumatologists decreased, and wait times were reduced for moderate and urgent referrals. CReATe Rheum improved the quality of referral information and eliminated duplicate referrals. The urgency of the referral was assigned correctly in 90% of referrals. Over the long term, CReATe Rheum maintained short wait times for more urgent patients despite a growing number of referrals and a stable number of rheumatologists.
Conclusion: A centralized system for the intake and triage of rheumatology referrals improved referral quality, reduced system inefficiencies, and effectively managed wait times on a prioritized basis for a large referral population.
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http://dx.doi.org/10.1002/acr.22845 | DOI Listing |
Dev Psychol
January 2025
Department of Psychology, Stanford University.
Overcoming challenges to achieve success involves being able to spontaneously come up with effective strategies to address different task demands. Research has linked individual differences in such strategy generation and use to optimal development over time and greater success across many areas of life. Yet, there is surprisingly little experimental evidence that tests how we might help young children to spontaneously generate and apply effective strategies across different challenging tasks.
View Article and Find Full Text PDFCrit Pathw Cardiol
December 2024
Division of Cardiology, Logan Hospital, Meadowbrook, Australia.
The performing of non-physician led exercise stress testing with and without echocardiography has shown similar diagnostic utility and safety as physician led models. While diagnostic accuracy and relative safety have been the focus of previous research, the current study aims to demonstrate efficiencies not previously reported such as reduction in wait times for testing and improved service attendance. A non-physician led exercise stress echocardiography (ESE) service was implemented on 01/01/2018, prior to this all tests were performed under a physician led model.
View Article and Find Full Text PDFBMC Psychiatry
January 2025
Child Mental Health Research Center, Nanjing Brain Hospital affiliated with Nanjing Medical University, Nanjing GuangZhou Road 264#, Nanjing, 210029, China.
Background: Pragmatic language refers to using spoken language to convey messages effectively across diverse social communication contexts. However, minimal longitudinal research has focused on defining early predictors of pragmatic development in children with autism spectrum disorder (ASD).
Methods: In the present study, 71 children with ASD and 38 age- and gender- matched 24- to 30-month-old typically developing (TD) children were enrolled.
JSLS
January 2025
Department of Obstetrics and Gynecology, NYU Langone Health Grossman School of Medicine, New York, New York, USA. (Drs. V. Shah, Munoz, and Huang).
Background And Objectives: Operating rooms (ORs) are critical for hospital revenue and cost management, with utilization efficiency directly affecting financial outcomes. Traditional surgical scheduling often results in suboptimal OR use. We aim to build a machine learning (ML) model to predict incision times for robotic-assisted hysterectomies, enhancing scheduling accuracy and hospital finances.
View Article and Find Full Text PDFEmerg Med Int
January 2025
Emergency Medicine Department, National Guard Health Affairs, King Abdulaziz Medical City, Riyadh, Saudi Arabia.
Emergency medicine practitioners encounter significant challenges related to patients who leave emergency departments (EDs) without being seen (LWBS) in the ED. We aimed to assess the characteristics, reasons, and rate of patients who left without being seen in the tertiary teaching hospital ED of King Khalid University Hospital in Riyadh, Saudi Arabia. A qualitative prospective observational study was conducted from January 4, 2023, to May 17, 2023, among patients who left the ED without being seen in the King Khalid University Hospital, King Saud University Medical City, a tertiary hospital in Riyadh, Saudi Arabia.
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