Dataset Information

Recognition of visual symptoms in stroke: a challenge to patients, bystanders, and Emergency Medical Services.

ABSTRACT:

Background

Identification of visual symptoms as a sign of acute stroke can be challenging for both first line healthcare professionals and lay persons. Failed recognition of visual symptoms by medical dispatchers at the Emergency Medical Dispatch Center (EMDC-112) or personnel at the Out-of-Hours Health Service (OOHS) may delay stroke revascularization. We aimed to identify correct system response to visual symptoms in emergency calls.

Methods

Phone calls from patient or bystander to the EMDC-112 or OOHS, which included visual symptoms on patients later verified with stroke/Transient ischemic attack (TIA) diagnosis, were analyzed. Data were stratified according to hospitalization within and after 4.5 h from symptom onset. Descriptive and multiple logistic regression analysis were performed.

Results

Of 517 calls identified, 290 calls fulfilled inclusion criteria. Only 30% of the patients received correct visitation by the medical dispatchers and referral to the hospital by a high-priority ambulance. Correct visitation was associated with early contact (adjusted OR: 2.37, 95% CI: 1.11, 5.03), contact to the EMDC-112 (adjusted OR: 3.18, 95% CI: 1.80, 5.62), and when the medical dispatcher asked additional questions on typical stroke symptoms (adjusted OR: 6.36, 95% CI: 3.01, 13.43). No specific visual symptom was associated with stroke recognition and fast hospitalization.

Conclusions

First line healthcare professionals had significant problems in identifying visual symptoms as a sign of acute stroke and eliciting correct response. This highlights an urgent need to improve knowledge of visual symptoms in acute stroke and emphasize correct response to stroke symptoms in general.

SUBMITTER: Berg KP

PROVIDER: S-EPMC10463357 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Recognition of visual symptoms in stroke: a challenge to patients, bystanders, and Emergency Medical Services.

Berg Kristina Parsberg KP Sørensen Viktor Frederik Idin VFI Blomberg Stig Nikolaj Fasmer SNF Christensen Helle Collatz HC Kruuse Christina C

BMC emergency medicine 20230825 1

<h4>Background</h4>Identification of visual symptoms as a sign of acute stroke can be challenging for both first line healthcare professionals and lay persons. Failed recognition of visual symptoms by medical dispatchers at the Emergency Medical Dispatch Center (EMDC-112) or personnel at the Out-of-Hours Health Service (OOHS) may delay stroke revascularization. We aimed to identify correct system response to visual symptoms in emergency calls.<h4>Methods</h4>Phone calls from patient or bystander ...[more]

PMID: 37626329

Similar Datasets

Project description:Background and Purpose- Recognition of stroke symptoms and hospital prenotification by emergency medical services (EMS) facilitate rapid stroke treatment; however, one-third of patients with stroke are unrecognized by EMS. To promote stroke recognition and quality measure compliant prehospital stroke care, we deployed a 30-minute online EMS educational module coupled with a performance feedback system in a single Michigan county. Methods- During a 24-month study period, a registry of consecutive EMS-transported suspected or unrecognized stroke cases was utilized to perform an interrupted time series analysis of the impact of the EMS education and feedback intervention. For each agency, we compared EMS stroke recognition and quality measure compliance rates, as well as emergency department performance and hospital outcomes during 12 preintervention months with performance in the remaining study months. Results- A total of 1805 EMS-transported cases met inclusion criteria; 1235 (68.4%) of these had ischemic or hemorrhagic strokes or transient ischemic attacks. There were no trends toward improvement in any outcome before the intervention. After the intervention, the EMS stroke recognition rate increased from 63.8% to 69.5% ( P=0.037). Prenotification increased from 60.9% to 77.3% ( P<0.001). Among patients with ischemic stroke/transient ischemic attack, there was a trend toward higher rates of tPA (tissue-type plasminogen activator) delivery (13.9%-17.7%; P=0.096) and a significant increase in tPA delivery within 45 minutes (5.7%-8.9%; P=0.042) after intervention. However, improvements in EMS recognition were limited to the first 3 months following intervention. Conclusions- A brief educational intervention was associated with improved EMS stroke recognition, hospital prenotification, and faster tPA delivery. Gains were primarily observed immediately following education and were not sustained through provision of performance feedback to paramedics.

Project description:Background and purposeAcute stroke treatment outcomes are predicated on reperfusion timeliness which can be improved by better prehospital stroke identification. We aimed to assess the effect of interactive emergency medical services (EMS) training on stroke recognition and prehospital care performance in a very high-risk cardiovascular risk population in Lithuania.MethodsWe conducted a single-center interrupted time-series study between March 1, 2019 and March 15, 2020. Two-hour small-group interactive stroke training sessions were organized for 166 paramedics serving our stroke network. We evaluated positive predictive value (PPV) and sensitivity for stroke including transient ischemic attack identification, onset-to-door time, and hospital-based outcomes during 6-months prior and 3.5 months after the training. The study outcomes were compared between EMS providers in urban and suburban areas.ResultsIn total, 677 suspected stroke cases and 239 stroke chameleons (median age 75 years, 54.8% women) were transported by EMS. After the training, we observed improved PPV for stroke recognition (79.8% vs. 71.8%, p = 0.017) and a trend of decreased in-hospital mortality (7.8% vs. 12.3, p = 0.070). Multivariable logistic regression models adjusted for age, gender, EMS location, and stroke subtype showed an association between EMS stroke training and improved odds of stroke identification (adjusted odds ratio [aOR] 1.6 [1.1-2.3]) and onset-to-door ≤ 90 min (aOR 1.6 [1.1-2.5]). The improvement of PPV was observed in urban EMS (84.9% vs. 71.2%, p = 0.003), but not in the suburban group (75.0% vs. 72.6%, p = 0.621).ConclusionsThe interactive EMS training was associated with a robust improvement of stroke recognition, onset to hospital transport time, and a trend of decreased in-hospital mortality. Adapted training strategies may be needed for EMS providers in suburban areas. Future studies should evaluate the long-term effects of the EMS training and identify optimal retraining intervals.

Project description:Background Emergency medical services (EMS) compliance with recommended prehospital care for patients with acute stroke is inconsistent; however, sources of variability in compliance are not well understood. The current analysis utilizes a linkage between a statewide stroke registry and EMS information system data to explore patient and EMS agency-level contributions to variability in prehospital care. Methods and Results This is a retrospective analysis of a cohort of confirmed stroke cases transported by EMS to hospitals participating in a statewide stroke registry. Using EMS information system data, the authors quantified EMS compliance with 6 performance measures derived from national guidelines for prehospital stroke care: prehospital stroke scale performance, glucose check, stroke recognition, on-scene time ≤15 minutes, time last known well documentation, and hospital prenotification. Multilevel multivariable logistic regression analysis was then used to examine associations between patient-level demographic and clinical characteristics and EMS compliance while accounting for and quantifying the variation attributable to agency of transport and recipient hospital. Over an 18-month period, EMS and stroke registry records were linked for 5707 EMS-transported stroke cases. Compliance ranged from 24% of cases for last known well documentation to 82% for documentation of a glucose check. The other measures were documented in approximately half of cases. Older age, higher National Institutes of Health Stroke Scale, and earlier presentation were associated with more compliant prehospital care. EMS agencies accounted for more than half of the variation in EMS prehospital stroke scale documentation and last known well documentation and 27% of variation in glucose check but <10% of stroke recognition and prenotification variability. Conclusions EMS stroke care remains highly variable across different performance measures and EMS agencies. EMS agency and electronic medical record type are important sources of variability in compliance with key prehospital performance metrics for stroke.

Dataset Information

Recognition of visual symptoms in stroke: a challenge to patients, bystanders, and Emergency Medical Services.

Background

Methods

Results

Conclusions

Publications

Recognition of visual symptoms in stroke: a challenge to patients, bystanders, and Emergency Medical Services.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets