Impact on Prehospital Delay of a Stroke Preparedness Campaign: A SW-RCT (Stepped-Wedge Cluster Randomized Controlled Trial)

Prehospital Factors Associated with Delayed Hospital Arrival of Stroke Patients: A Regional Single-Center Study from India

Background

Only a small percentage of patients with acute stroke are currently eligible for thrombolysis, partly due to severe delays in hospital arrival. We had previously conducted the first regional study to assess the factors delaying acute stroke care in India. The present study aims to understand and describe in depth the variables associated with prehospital delay among patients admitted with an acute ischemic stroke.

Methods

Data were prospectively collected by conducting an in-depth interview of 470 acute ischemic stroke patients and their bystanders, aged above 18 years, presenting to the Department of Emergency Medicine, Jubilee Mission Medical College and Research Institute, Thrissur. Patients who arrived within 4.5 h of symptom onset were considered as "early arrival" and those who arrived after 4.5 h were considered as "delayed arrival." Univariate and multivariate analyses were undertaken to determine associations between variables of interest and delays to hospital presentation.

Results

Of the 470 patients who met the inclusion criteria, 73 patients reached within 4.5 h (15.5%), whereas 397 patients arrived after 4.5 h. The mean age of acute stroke patients who reached within 4.5 h was 63 ± 13.7 years, whereas the mean age of those who reached after 4.5 h was 63 ± 12.1 years. Binary logistic regression performed to quantify the associations of prehospital factors showed an increased risk of prehospital delay among individuals with lack of awareness (odds ratio [OR] = 5.16 [3.040-8.757], P < 0.001), followed by those for whom a vehicle was not available at the site of event (OR = 3.745 [1.864-7.522], P < 0.001). Within the predefined socioeconomic strata, compared to lower class, upper middle class had less risk (OR = 0.135 [0.018-1.035], P = 0.054), whereas the distance from first medical contact to emergency department contributed moderate risk (OR = 1.071 [1.028-1.116], P < 0.001) for prehospital delay.

Conclusions

Health promotion techniques that increase public knowledge about the early signs of stroke, transferring patients directly to hospitals with thrombolysis capabilities, and making ambulance services more widely available are appropriate measures to reduce prehospital delay.

Association of the Stroke Ready Community-Based Participatory Research Intervention With Incidence of Acute Stroke Thrombolysis in Flint, Michigan

Importance

Acute stroke treatment rates in the US lag behind those in other high-income nations.

Objective

To assess whether a hospital emergency department (ED) and community intervention was associated with an increased proportion of patients with stroke receiving thrombolysis.

Design, Setting, and Participants

This nonrandomized controlled trial of the Stroke Ready intervention took place in Flint, Michigan, from October 2017 to March 2020. Participants included adults living in the community. Data analysis was completed from July 2022 to May 2023.

Intervention

Stroke Ready combined implementation science and community-based participatory research approaches. Acute stroke care was optimized in a safety-net ED, and then a community-wide, theory-based health behavior intervention, including peer-led workshops, mailers, and social media, was conducted.

Main Outcomes and Measures

The prespecified primary outcome was the proportion of patients hospitalized with ischemic stroke or transient ischemic attack from Flint who received thrombolysis before and after the intervention. The association between thrombolysis and the Stroke Ready combined intervention, including the ED and community components, was estimated using logistic regression models, clustering at the hospital level and adjusting for time and stroke type. In prespecified secondary analyses, the ED and community intervention were explored separately, adjusting for hospital, time, and stroke type.

Results

In total, 5970 people received in-person stroke preparedness workshops, corresponding to 9.7% of the adult population in Flint. There were 3327 ischemic stroke and TIA visits (1848 women [55.6%]; 1747 Black individuals [52.5%]; mean [SD] age, 67.8 [14.5] years) among patients from Flint seen in the relevant EDs, including 2305 in the preintervention period from July 2010 to September 2017 and 1022 in the postintervention period from October 2017 to March 2020. The proportion of thrombolysis usage increased from 4% in 2010 to 14% in 2020. The combined Stroke Ready intervention was not associated with thrombolysis use (adjusted odds ratio [OR], 1.13; 95% CI, 0.74-1.70; P = .58). The ED component was associated with an increase in thrombolysis use (adjusted OR, 1.63; 95% CI, 1.04-2.56; P = .03), but the community component was not (adjusted OR, 0.99; 95% CI, 0.96-1.01; P = .30).

Conclusions and Relevance

This nonrandomized controlled trial found that a multilevel ED and community stroke preparedness intervention was not associated with increased thrombolysis treatments. The ED intervention was associated with increased thrombolysis usage, suggesting that implementation strategies in partnership with safety-net hospitals may increase thrombolysis usage.

Trial Registration

ClinicalTrials.gov Identifier: NCT036455900.

Prehospital Stroke Care Part 1: Emergency Medical Services and the Stroke Systems of Care

Acute stroke care begins before hospital arrival, and several prehospital factors are critical in influencing overall patient care and poststroke outcomes. This topical review provides an overview of the state of the science on prehospital components of stroke systems of care and how emergency medical services systems may interact in the system to support acute stroke care. Topics include layperson recognition of stroke, prehospital transport strategies, networked stroke care, systems for data integration and real-time feedback, and inequities that exist within and among systems.

Factors affecting the presentation time of patients with acute stroke to hospital and level of awareness of thrombolytic therapy

Introduction In this study, it was aimed to reveal the factors affecting the time of presentation of patients with acute stroke to the hospital, determine the rates of benefiting from thrombolytic therapy and assess the thrombolytic therapy awareness of patients. Materials and Methods 276 patients with acute stroke were included in our study. Standard structured questionnaire was administered to the patients. Patients were asked about the time of onset of stroke, age, place of residence, level of education, whether they received thrombolytic therapy, what was done as the first intervention, and whether they had information about thrombolytic therapy. Stroke severity was also evaluated by applying the National Institutes of Health Stroke Scale (NIHSS) to the patients. Results Of the patients included in the study, 218 (79%) had ischemic stroke, 26 (9.4%) had intracerebral hemorrhage and 32 (11.6%) had TIA. The mean NIHH score of the patients was 6.7±6.2. Stroke onset time was mainly between 18.00-24.00 with a rate of 28.3%. It was understood that 83.1% of the patients came to the emergency department by ambulance and 16.9% came by their own vehicle. When the groups of patients who received and did not receive thrombolytic therapy were compared, no significant difference was found between who the patient lived with at home and the groups of the level of education. Statistical significance was found with symptom onset time (p

The PRESTO study: awareness of stroke symptoms and time from onset to intervention

Timely access to medical assistance is the first crucial step to improving clinical outcomes of stroke patients. Many educational campaigns have been organized with the purpose of making people aware of what a stroke is and what is necessary to do after its clinical onset. The PRESTO campaign was organized in Genoa (Italy) to spread easy messages regarding the management of the acute phase of stroke. Educational material was disseminated to educate people to call the emergency medical services as soon as symptoms appear. Data collected were analyzed in three different phases of the campaign: before the beginning, during, and after the end. We enrolled 1,132 patients with ischemic stroke admitted to hospital within 24 hours of symptoms onset. Our data showed a mild reduction in onset-to-door time (24 minutes) during the months following the end of the campaign and a slight increase in number of patients who arrived at hospitals, in particular with milder symptoms and transient ischemic attack, as opposed to the same period before the campaign. Interestingly, in the months after the end of the campaign, we observed a slight reduction of the percentage of patients who accessed hospitals after 4.5 hours from symptoms onset. In conclusion, our results may suggest that an informative campaign can be successful in making people rapidly aware of stroke onset, with the consequent rapid access to hospitals. Considering the changing of way of access to information, we think that an extensive multimedia campaign should be evaluated in the next future.

Stroke in Djibouti

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Sub-Saharan Africa is experiencing an increasing burden of stroke, with current prevalence as high as 1.46 per 1000 population.

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Limited cohort studies exist to profile the epidemiological, clinical and paraclinical characteristics of stroke in this setting.

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Identifying the most at-risk population for ischemic and haemorrhagic stroke can improve approaches for prevention in this setting.

Background

Stroke is a neurological emergency affecting both developed and developing countries. In Djibouti, stroke is the fourth leading cause of death. Our objective was to describe the demographic, clinical, paraclinical profile of stroke in Djibouti and identify the possible underlying risk factors.

Methods

We conducted a cross-sectional multicentre study carried out over a period of 6 months in the medical services of the Soudano-Djibouti military hospital, the General Peltier hospital and the emergency department of the National fund for social security health centre.

Results

A total of seventy patients were included. The mean age was 59.61 years with a male predominance (sex ratio: 2.5) and a statistically significant female-related difference beyond the age of 60 years (p <10⁻³). Cardiovascular risk factors were mainly hypertension (73%), khat chewing (64%) and tobacco use (50%). Khat chewing and tobacco use were associated with a younger age of occurrence of stroke (p=0.020 and p=0.004, respectively). Diabetes mellitus and hypercholesterolemia were found respectively in 30% and 19% of cases, and were more associated with ischemic stroke. Coronary disease (11%), heart failure (3%) and obesity (4%) (significantly associated with the female gender; p= 0,021) were less common. Motor deficits (94%) were the most common clinical manifestations, followed by sensory deficits (51%) and alteration of consciousness (37%). Stroke was ischemic in 61.5% of patients. The most affected territory in ischemic stroke was the territory of the middle cerebral artery, and capsulo-thalamic involvement in haemorrhagic stroke which was significantly associated with the alteration of consciousness(p=0,003).

Discussion

Stroke had primarily modifiable risk factors in Djiboutian patients dominated by high blood pressure, tobacco use and khat chewing especially in the male population under the age of 60 years. These findings could have implications on future preventive measures and a better approach to public health policy.

Community Intent to Activate Emergency Medical Services May Be Associated with Regional tPA Treatment

INTRODUCTION

Acute stroke treatments are underutilized in the USA. Enhancing stroke preparedness, the recognition of stroke symptoms, and intent to call emergency medical services (EMS) could reduce delay in hospital arrival thereby increasing eligibility for time-sensitive stroke treatments. Whether higher stroke preparedness is associated with higher tissue plasminogen activator (tPA) treatment rates is however uncertain. We therefore set out to determine the contribution of stroke preparedness to regional variation in tPA treatment.

METHODS

The region was defined by hospital service area (HSA). Stroke preparedness was determined by using Behavioral Risk Factor Surveillance System survey questions assessing stroke symptom recognition and intent to call 911 in response to a stroke. We used Medicare data to determine the percentage of tPA-treated hospitalized stroke patients in 2007, 2009, and 2011, adjusting for number of stroke hospitalizations in each HSA (primary outcome). We performed multivariate linear regression to estimate the association of regional stroke preparedness on log-transformed tPA treatment rates controlling for demographic, EMS, and hospital characteristics.

RESULTS

The adjusted percentage of stroke patients receiving tPA ranged from 1.4% (MIN) to 11.3% (MAX) of stroke/TIA hospitalizations. Across HSAs, a median (IQR) of 86% (81-90%) of responses to a witnessed stroke indicated intent to call 911, and a median (IQR) of 4.4 (4.2-4.6) out of 6 stroke symptoms was recognized. Every 1% increase in an HSA's intent to call 911 was associated with a 0.44% increase in adjusted tPA treatment rate (p = 0.05). Lower accuracy of recognition of stroke symptoms was associated with higher adjusted tPA treatment rates (p = 0.05).

CONCLUSIONS

There was little regional variation in intent to call EMS and stroke symptom recognition. Intent to call EMS and stroke symptom recognition are modest contributors to regional variation in tPA treatment.

Trajectory of the Victims of Overland Transport Accidents: From Prehospital to Hospital Care

Objective

The aim is to evaluate the trajectory of the victims of ground transportation accidents from the prehospital care to the hospital.

Methods

The sample consisted of 1,264 patients collected from the prehospital care, from June 2015 to June 2016. The trajectory was analyzed by the difference in the average time elapsed between the call and the hospital entrance. The Mann–Whitney and Kruskal–Wallis tests were used, adopting a significance level of 5% and 95% confidence.

Results

Patients had a mean age of 31.2 years, Glasgow Coma Scale of 14.8 points, and 24.8 days of hospitalization. It is characterized predominantly masculine, conductive of the vehicle, being the motorcycle prevalent; most of them wore a helmet/seat belt and no alcohol. The association between the average time of care and the characteristics related to the victim was significant: the use of the belt/helmet, alcoholism, and type of discharge and relative to the accident: area of occurrence, period of the week, shift of occurrence, type of prehospital care, and other party involved.

Conclusion

The characteristics related to ground transportation accident interfere in the time of prehospital care to the hospital, which can influence the prognosis.

Effectiveness of interventions to improve rates of intravenous thrombolysis using behaviour change wheel functions: a systematic review and meta-analysis

BACKGROUND

Despite being one of the few evidence-based treatments for acute ischemic stroke, intravenous thrombolysis has low implementation rates-mainly due to a narrow therapeutic window and the health system changes required to deliver it within the recommended time. This systematic review and meta-analyses explores the differential effectiveness of intervention strategies aimed at improving the rates of intravenous thrombolysis based on the number and type of behaviour change wheel functions employed.

METHOD

The following databases were searched: MEDLINE, EMBASE, PsycINFO, CINAHL and SCOPUS. Multiple authors independently completed study selection and extraction of data. The review included studies that investigated the effects of intervention strategies aimed at improving the rates of intravenous thrombolysis and/or onset-to-needle, onset-to-door and door-to-needle time for thrombolysis in patients with acute ischemic stroke. Interventions were coded according to the behaviour change wheel nomenclature. Study quality was assessed using the QualSyst scoring system for quantitative research methodologies. Random effects meta-analyses were used to examine effectiveness of interventions based on the behaviour change wheel model in improving rates of thrombolysis, while meta-regression was used to examine the association between the number of behaviour change wheel intervention strategies and intervention effectiveness.

RESULTS

Results from 77 studies were included. Five behaviour change wheel interventions, 'Education', 'Persuasion', 'Training', 'Environmental restructuring' and 'Enablement', were found to be employed among the included studies. Effects were similar across all intervention approaches regardless of type or number of behaviour change wheel-based strategies employed. High heterogeneity (I2 > 75%) was observed for all the pooled analyses. Publication bias was also identified.

CONCLUSION

There was no evidence for preferring one type of behaviour change intervention strategy, nor for including multiple strategies in improving thrombolysis rates. However, the study results should be interpreted with caution, as they display high heterogeneity and publication bias.

The stroke mothership model survived during COVID-19 era: an observational single-center study in Emilia-Romagna, Italy

Introduction

A reduction of the hospitalization and reperfusion treatments was reported during COVID-19 pandemic. However, high variability in results emerged, potentially due to logistic paradigms adopted. Here, we analyze stroke code admissions, hospitalizations, and stroke belt performance for ischemic stroke patients in the metropolitan Bologna region, comparing temporal trends between 2019 and 2020 to define the impact of COVID-19 on the stroke network.

Methods

This retrospective observational study included all people admitted at the Bologna Metropolitan Stroke Center in timeframes 1 March 2019–30 April 2019 (cohort-2019) and 1 March 2020–30 April 2020 (cohort-2020). Diagnosis, treatment strategy, and timing were compared between the two cohorts to define temporal trends.

Results

Overall, 283 patients were admitted to the Stroke Center, with no differences in demographic factors between cohort-2019 and cohort-2020. In cohort-2020, transient ischemic attack (TIA) was significantly less prevalent than 2019 (6.9% vs 14.4%, p = .04). Among 216 ischemic stroke patients, moderate-to-severe stroke was more represented in cohort-2020 (17.8% vs 6.2%, p = .027). Similar proportions of patients underwent reperfusion (45.9% in 2019 vs 53.4% in 2020), although a slight increase in combined treatment was detected (14.4% vs 25.4%, p = .05). Door-to-scan timing was significantly prolonged in 2020 compared with 2019 (28.4 ± 12.6 vs 36.7 ± 14.6, p = .03), although overall timing from stroke to treatment was preserved.

Conclusion

During COVID-19 pandemic, TIA and minor stroke consistently reduced compared to the same timeframe in 2019. Longer stroke-to-call and door-to-scan times, attributable to change in citizen behavior and screening at hospital arrival, did not impact on stroke-to-treatment time. Mothership model might have minimized the effects of the pandemic on the stroke care organization.

Reasons for Prehospital Delay in Acute Ischemic Stroke

Background Prehospital delay reduces the proportion of patients with stroke treated with recanalization therapies. We aimed to identify novel and modifiable risk factors for prehospital delay. Methods and Results We included patients with an ischemic stroke confirmed by diffusion-weighted magnetic resonance imaging, symptom onset within 24 hours and hospitalized in the Stroke Center of the University Hospital Basel, Switzerland. Trained study nurses interviewed patients and proxies along a standardized questionnaire. Prehospital delay was defined as >4.5 hours between stroke onset-or time point of wake-up-and admission. Overall, 336 patients were enrolled. Prehospital delay was observed in 140 patients (42%). The first healthcare professionals to be alarmed were family doctors for 29% of patients (97/336), and a quarter of these patients had a baseline National Institute of Health Stroke Scale score of 4 or higher. The main modifiable risk factor for prehospital delay was a face-to-face visit to the family doctor (adjusted odds ratio, 4.19; 95% CI, 1.85-9.46). Despite transport by emergency medical services being associated with less prehospital delay (adjusted odds ratio, 0.41; 95% CI, 0.24-0.71), a minority of patients (39%) who first called their family doctor were transported by emergency medical services to the hospital. The second risk factor was lack of awareness of stroke symptoms (adjusted odds ratio, 4.14; 95% CI, 2.36-7.24). Conclusions Almost 1 in 3 patients with a diffusion-weighted magnetic resonance imaging-confirmed ischemic stroke first called the family doctor practice. Face-to-face visits to the family doctor quadrupled the odds of prehospital delay. Efforts to reduce prehospital delay should address family doctors and their staffs as important partners in the prehospital pathway. Clinical Trial Registration URL: http://www.clinicaltrials.gov. Unique identifier: NCT02798770.

Planning a campaign to fight stroke: an educational pilot project in La Spezia, Italy

INTRODUCTION

Best medical treatments of ischemic stroke are admission to stroke unit, intravenous thrombolysis and, in selected cases, thrombectomy. Time from symptom onset to interventions is the best predictor of clinical outcome. In order to verify the effectiveness of an active education programme of awareness on the knowledge of stroke, we performed a local campaign "on the field".

SUBJECTS AND METHODS

We selected 101 subjects from the general population who took part in the "stroke awareness campaign" organised by the Italian Association for the fight against stroke (A.L.I.Ce). Mean age was 59 years (50% female; 50% male); 55% of the sample reported a high level of education (> 8 years: high school or university degree). After a short multiple-choice questionnaire, we administered a face-to-face standard educational protocol (15 min). The efficacy of that educational intervention was then verified after a period of 12 months, by telephone interview.

RESULTS

There was improvement both in the definition of stroke (66% vs. 92%, p < .001) and in recognizing symptoms and signs (19% vs. 72%, p < .001). Knowledge of the importance of stroke unit in the acute treatment of stroke did not improve, as it was already high on baseline (92% vs. 97%, p: n.s.). The improvement was evident in particular in younger and higher educated people, without difference in gender. There was no difference based on risk factor profiles of participants.

CONCLUSIONS

Our results suggest that a personalised education can improve knowledge on stroke symptoms and signs, independently of gender and personal risk factors. The results should be verified in larger and less selection population.

Evaluation of the Swedish National Stroke Campaign: A population-based time-series study

BACKGROUND

Time delay from stroke onset to hospital arrival is an important obstacle to recanalization therapy. To increase knowledge about stroke symptoms and potentially reduce delayed hospital arrival, a 27-month national public information campaign was conducted in Sweden.

AIM

To assess the effects of a national stroke campaign in Sweden.

METHODS

This nationwide study included 97,840 patients with acute stroke, admitted to hospital and registered in the Swedish Stroke Register from 1 October 2010 to 31 December 2014 (one year before the campaign started to one year after the campaign ended). End points were (1) proportion of patients arriving at hospital within 3 h of stroke onset and (2) the proportion < 80 years of age receiving recanalization therapy.

RESULTS

During the campaign, both the proportion of patients arriving at hospital within 3 h (p < 0.05) and the proportion receiving recanalization therapy (p < 0.001) increased. These proportions remained stable the year after the campaign, and no significant improvements with respect to the two end points were observed during the year preceding the campaign. In a multivariable logistic regression model comparing the last year of the campaign with the year preceding the campaign, the odds ratio of arriving at hospital within 3 h was 1.05 (95% confidence interval (CI): 1.00-1.09) and that of receiving recanalization was 1.34 (95% CI: 1.24-1.46).

CONCLUSION

The Swedish National Stroke Campaign was associated with a sustained increase in the proportion of patients receiving recanalization therapy and a small but significant improvement in the proportion arriving at hospital within 3 h.

Temporal Trends in Emergency Medical Services and General Practitioner Use for Acute Stroke After Australian Public Education Campaigns

Background and Purpose- The Australian Stroke Foundation ran annual paid advertising between 2004 and 2014, using the FAST (Face, Arm, Speech, Time) campaign from 2006 and adding the message to call emergency medical services in 2007. In this study, we examined temporal trends in emergency medical services use and referrals from general practitioners in the Australian state of Victoria to evaluate the impact of these campaigns. Methods- Using data from 33 public emergency departments, contributing to the Victorian Emergency Minimum Dataset, we examined trends in emergency department presentations for 118 000 adults with an emergency diagnosis of stroke or transient ischemic attack between 2003 and 2015. Annual trends were examined using logistic regression using a precampaign period (January 2003 to August 2004) as reference and adjusting for demographic variables. Results- Compared with the precampaign period, significant increases in emergency medical services use were seen annually between 2008 and 2015 (all P<0.001, eg, 2015; adjusted odds ratio, 1.16; 95% CI, 1.10-1.23). In contrast, a decrease was seen in patients presenting via general practitioners across all campaign years (all P<0.001, eg, 2015; adjusted odds ratio, 0.48; 95% CI, 0.44-0.53). Conclusions- Since the Stroke Foundation campaigns began, a greater proportion of stroke and transient ischemic attack patients are presenting to hospital by emergency medical services and appear to be bypassing their general practitioners.

Disability Adjusted Life Years due to Ischaemic Stroke Preventable by Real-Time Stroke Detection-A Cost-Utility Analysis of Hypothetical Stroke Detection Devices

Background: Ischaemic stroke remains a significant contributor to permanent disability world-wide. Therapeutic interventions for acute ischaemic stroke (AIS) are available, but need to be administered early after symptom onset in order to be effective. Currently, one of the main factors responsible for poor clinical outcome is an unnecessary long time between symptom onset and arrival at a hospital (pre-hospital delay). In the future, technological devices with the capability of real-time detection of AIS may become available. The health economic implications of such devices have not been explored. Methods: We developed a novel probabilistic model to estimate the maximally allowable annual costs of different hypothetical real-time AIS detection devices in different populations given currently accepted willingness-to-pay thresholds. Distributions of model parameters were extracted from the literature. Effectiveness of the intervention was quantified as reduction in disability-adjusted life-years associated with faster access to thrombolysis and mechanical thrombectomy. Incremental costs were calculated from a societal perspective including acute treatment costs and long-term costs for nursing care, home help, and loss of production. The impact of individual model parameters was explored in one-way and multi-way sensitivity analyses. Results: The model yields significantly shorter prehospital delays and a higher proportion of acute ischaemic patients that fulfill the time-based eligibility criteria for thrombolysis or mechanical thrombectomy in the scenario with a real-time stroke detection device as compared to the control scenario. Depending on the sociodemographic and geographic characteristics of the study population and operating characteristics of the device, the maximally allowable annual cost for the device to operate in a cost-effective manner assuming a willingness-to-pay threshold of GBP 30.000 ranges from GBP 22.00 to GBP 9,952.00. Considering the results of multiway sensitivity analyses, the upper bound increases to GBP 29,449.10 in the subgroup of young patients with a very high annual risk of ischaemic stroke (50 years/20% annual risk). Conclusion: Data from probabilistic modeling suggest that real-time AIS detection devices can be expected to be cost-effective only for a small group of highly selected individuals.