| 1. |
- Cheng, I, et al.
(författare)
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Cost-effectiveness of a physician-nurse supplementary triage assessment team at an academic tertiary care emergency department
- 2016
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Ingår i: CJEM. - : Springer Science and Business Media LLC. - 1481-8043 .- 1481-8035. ; 18:3, s. 191-204
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Tidskriftsartikel (refereegranskat)abstract
- ObjectiveThe purpose of this study was to evaluate the cost-effectiveness of physician-nurse supplementary triage assistance team (MDRNSTAT) from a hospital and patient perspective.MethodsThis was a cost-effectiveness evaluation of a cluster randomized control trial comparing the MDRNSTAT with nurse-only triage in the emergency department (ED) between the hours of 0800 and 1500. Cost was MDRNSTAT salary. Revenue was from Ontario’s Pay-for-Results and patient volume-case mix payment programs. The incremental cost-effectiveness ratio was based on MDRNSTAT cost and three consequence assessments: 1) per additional patient-seen; 2) per physician initial assessment (PIA) hour saved; and 3) per ED length of stay (EDLOS) hour saved. Patient opportunity cost was determined. Patient satisfaction was quantified by a cost-benefit ratio. A sensitivity analysis extrapolating MDRNSTAT to different working hours, salary, and willingness-to-pay data was performed.ResultsThe added cost of the MDRNSTAT was $3,597.27 [$1,729.47 to ∞] per additional patient-seen, $75.37 [$67.99 to $105.30] per PIA hour saved, and $112.99 [$74.68 to $251.43] per EDLOS hour saved. From the hospital perspective, the cost-benefit ratio was 38.6 [19.0 to ∞] and net present value of –$447,996 [–$435,646 to –$459,900]. For patients, the cost-benefit ratio for satisfaction was 2.8 [2.3 to 4.6]. If MDRNSTAT performance were consistently implemented from noon to midnight, it would be more cost-effective.ConclusionsThe MDRNSTAT is not a cost-effective daytime strategy but appears to be more feasible during time periods with higher patient volume, such as late morning to evening.
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| 2. |
- Cheng, I, et al.
(författare)
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Factors associated with failure of emergency wait-time targets for high acuity discharges and intensive care unit admissions
- 2018
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Ingår i: CJEM. - : Springer Science and Business Media LLC. - 1481-8043 .- 1481-8035. ; 20:1, s. 112-124
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Tidskriftsartikel (refereegranskat)abstract
- ObjectiveOntario established emergency department length-of-stay (EDLOS) targets but has difficulty achieving them. We sought to determine predictors of target time failure for discharged high acuity patients and intensive care unit (ICU) admissions.MethodsThis was a retrospective, observational study of 2012 Sunnybrook Hospital emergency department data. The main outcome measure was failing to meet government EDLOS targets for high acuity discharges and ICU emergency admissions. The secondary outcome measures examined factors for low acuity discharges and all admissions, as well as a run chart for 2015 – 2016 ICU admissions. Multiple logistic regression models were created for admissions, ICU admissions, and low and high acuity discharges. Predictor variables were at the patient level from emergency department registries.ResultsFor discharged high acuity patients, factors predicting EDLOS target failure were having physician initial assessment duration (PIAD)>2 hours (OR 5.63 [5.22-6.06]), consultation request (OR 10.23 [9.38-11.14]), magnetic resonance imaging (MRI) (OR 19.33 [12.94-28.87]), computed tomography (CT) (OR 4.24 [3.92-4.59]), and ultrasound (US) (OR 3.47 [3.13-3.83]). For ICU admissions, factors predicting EDLOS target failure were bed request duration (BRD)>6 hours (OR 364.27 [43.20-3071.30]) and access block (AB)>1 hour (OR 217.27 [30.62-1541.63]). For discharged low acuity patients, factors predicting failure for the 4-hour target were PIAD>2 hours (OR 15.80 [13.35-18.71]), consultation (OR 20.98 [14.10-31.22]), MRI (OR 31.68 [6.03-166.54]), CT (OR 16.48 [10.07-26.98]), and troponin I (OR 13.37 [6.30-28.37]).ConclusionSunnybrook factors predicting failure of targets for high acuity discharges and ICU admissions were hospital-controlled. Hospitals should individualize their approach to shortening EDLOS by analysing its patient population and resource demands.
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| 3. |
- Thoma, B, et al.
(författare)
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An international, interprofessional investigation of the self-reported podcast listening habits of emergency clinicians: A METRIQ Study
- 2020
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Ingår i: CJEM. - : Springer Science and Business Media LLC. - 1481-8043 .- 1481-8035. ; 22:1, s. 112-117
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Tidskriftsartikel (refereegranskat)abstract
- ObjectivesPodcasts are increasingly being used for medical education. A deeper understanding of usage patterns would inform both producers and researchers of medical podcasts. We aimed to determine how and why podcasts are used by emergency medicine and critical care clinicians.MethodsAn international interprofessional sample (medical students, residents, physicians, nurses, physician assistants, and paramedics) was recruited through direct contact and a multimodal social media (Twitter and Facebook) campaign. Each participant completed a survey outlining how and why they utilize medical podcasts. Recruitment materials included an infographic and study website.Results390 participants from 33 countries and 4 professions (medicine, nursing, paramedicine, physician assistant) completed the survey. Participants most frequently listened to medical podcasts to review new literature (75.8%), learn core material (75.1%), and refresh memory (71.8%). The majority (62.6%) were aware of the ability to listen at increased speeds, but most (76.9%) listened at 1.0 x (normal) speed. All but 25 (6.4%) participants concurrently performed other tasks while listening. Driving (72.3%), exercising (39.7%), and completing chores (39.2%) were the most common. A minority of participants used active learning techniques such as pausing, rewinding, and replaying segments of the podcast. Very few listened to podcasts multiple times.ConclusionsAn international cohort of emergency clinicians use medical podcasts predominantly for learning. Their listening habits (rarely employing active learning strategies and frequently performing concurrent tasks) may not support this goal. Further exploration of the impact of these activities on learning from podcasts is warranted.
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