Stroke Knowledge Research Articles

Healthcare professionals’ perspectives on oral health care in acute stroke patients: a qualitative study

BackgroundStroke is a major public health problem, with the disabilities of the patients increasing their risk of poor oral health. Currently, in Ghana and Nigeria, no guideline exists for oral health care in stroke patients, while most of our acute stroke care settings have no documented protocol.AimThis study sought to understand the perspectives of healthcare professionals in Ghana and Nigeria about oral healthcare in acute stroke patients.MethodsA qualitative inductive approach was employed to explore healthcare professionals’ perspectives. After obtaining informed consent, in-depth interviews were conducted among doctors, nurses, and physiotherapists using semi-structured question guides. Participants’ responses were audiotaped for transcription and analysis. Interviews were conducted until data saturation was reached. Data were analyzed thematically to generate themes and sub-themes using an inductive approach.The resultsTwenty-five (25) health care professionals (HCP) aged 25–60 years with a mean age of 36.2 ± 4.2 years were interviewed. There were 15 (60.0%) males and 10 (40.0%) females. HCP included nurse practitioners 14 (56.0%), medical doctors 7 (28.0%), and physiotherapists 4 (16.0%). The HCP demonstrated adequate knowledge of stroke and considered oral health important for esthetic and clinical reasons. They, however, reported being unable to give it the required attention due to inadequate collaboration between the various professional cadres, insufficient equipment, and a skewed focus on other clinical needs of the acute stroke patients.ConclusionsThe findings indicate that HCPs perceived oral health care as very important among patients with acute stroke. However, they reported a lack of collaboration and integration of oral health care in routine stroke care as a major impediment.

Knowledge levels of stroke among hypertensive and diabetic patients in a tertiary hospital

BackgroundStrokes represent a major global health challenge, as they now affect up to 15 million people annually, with increasing mortality rates accompanying growing prevalence. In Saudi Arabia, hypertension (HTN) and diabetes mellitus (DM) have been identified as major contributors to stroke risk, with a combination of HTN and DM significantly magnifying the risk of strokes. While there have been global improvements in stroke prevention, recently knowledge levels vary significantly worldwide, and multiple studies in Saudi Arabia show inconsistent awareness levels. ObjectivesThis study seeks to develop insights for the development of tailored prevention programs that align with Saudi Vision 2030 in terms of enhancing quality of life. Thus, the aim of the study is to assess knowledge levels of stroke risk factors, warning signs, symptoms, and prevention methods among high-risk groups (HTN and DM patients) at King Saud University Medical City (KSUMC). MethodsThis was an analytical cross-sectional study conducted among 422 participants from June 2022 to January 2023, using a validated Arabic questionnaire taken, with permission, from previous studies. All HTN and T2DM patients in the waiting areas of the outpatient clinics at KSUMC, Riyadh were included as part of the random sampling, though patients below 20-years-old and those with other endocrine disorders were then excluded. ResultsThe majority of participants were male (64.5 %). The analysis showed that 66.1 % of participants had “poor total knowledge” of stroke factors. Half of the participants (50.5 %) had “poor knowledge” about stroke risk factors, though the most commonly identified risk factor was “hypertension”. Additionally, the findings showed that 46.4 % of participants had “poor knowledge” of stroke warning signs and symptoms, with the most commonly identified warning sign being “difficulty in speaking.” Nearly half of participants (46.4 %) had “good knowledge” of stroke prevention methods; however, “regular exercise” was the most commonly identified prevention method. ConclusionAlthough the participants displayed decent knowledge of stroke prevention methods, several notable deficits in overall knowledge of stroke factors emerged. In particular, knowledge of stroke risk factors and warning signs and symptoms among participants was inadequate. This implies that healthcare providers should seek to launch campaigns addressing stroke knowledge mainly among high-risk groups, potentially distributing brochures about stroke knowledge in the relevant clinics and seeking to provide a range of educational content by means of social media.

Determinants influencing health-promoting behaviors in individuals at high risks of stroke: a cross-sectional study.

Quit smoking, moderate drinking, exercise, and healthy eating habits are all known to decrease the risk of stroke. As a result, understanding the health behaviors of high risk groups for stroke is crucial. Health behavior is influenced by knowledge, social environment, and health beliefs. However, little research has been done on these relationships. For a better grasp of the relationships mentioned above, consider using the COM-B model (capability, opportunity, motivation, and behavior). The purpose of this study was to investigate the variables related to health behavior and to test the mediating effect of health beliefs. The cross-sectional study was carried out at a physical examination center of a tertiary hospital in Shanghai, China. 986 high-risk populations of stroke have been tested using the Health Behavior Scale (HBS-SP), Stroke Knowledge Questionnaire (SKQ), Health Beliefs Questionnaire (HBS), and Multidimensional Scale of Perceived Social Support (MSPSS). The structural equation modeling was used in this study. The scores for MSPSS, SKQ, HBS, and HBS-SP were 60.64 ± 13.72, 26.60 ± 9.77, 157.71 ± 34.34, and 2.46 ± 0.41, respectively. The revised model fits well (approximate root mean square error = 0.042; comparative fit index = 0.946). The health behavior was obviously and positively correlated to social Support, stroke knowledge, and health beliefs. Moreover, health belief has a mediating effect on the relation of social support, stroke knowledge, and health behavior. Chinese high risk groups for stroke have a mediate level of health behaviors. Factors associated with health behaviors are knowledge of stroke, health beliefs, and social support. The COM-B-based model can be used to explain the health behavior of individuals at risk of stroke and to guide the formulation of effective health management programs.

Awareness of stroke, its signs, and risk factors: A cross-sectional population-based survey in Ghana.

The prevalence of stroke in sub-Saharan Africa is steadily rising, leading to a growing strain on the healthcare system in the region. In the context of Ghana, stroke ranks as the third most prevalent cause of mortality. The current body of scholarly research on stroke awareness in Ghana is quite limited. The aim of this study is to assess the level of awareness of stroke, as well as its signs and symptoms among the Ghanaian population. The study employed a cross-sectional quantitative methodology, wherein 1000 participants completed self-administered structured questionnaires. Descriptive statistics were utilized to summarize the participants' socio-demographic characteristics and their responses. To assess the relationship between participants' sociodemographic traits and their awareness of stroke signs, symptoms, risk factors, and perception, the Chi-square test of independence was conducted using IBM SPSS version 26. A significance level of p < 0.05 was established. The study identified limited awareness regarding stroke symptoms, warning signs, and risk factors. The participants exhibited an overall knowledge range of 25.9% to 47.2% concerning stroke signs and symptoms, and a range of 24%-39% regarding its causes and risk factors. Notably, paralysis (70.8%) and diet (59.9%) were the most easily recognized warning signs and risk factors for stroke, respectively. Sociodemographic characteristics such as age, religion, educational status, exposure to stroke, employment status, and marital status were shown to be associated with participants knowledge of stroke (p < 0.05). The study's results indicated a widespread lack of knowledge concerning the causes and risk factors of stroke among the Ghanaian population, highlighting the necessity for increased public education efforts to raise awareness about this condition.

Predictive models for delay in medical decision-making among older patients with acute ischemic stroke: a comparative study using logistic regression analysis and lightGBM algorithm.

To explore the factors affecting delayed medical decision-making in older patients with acute ischemic stroke (AIS) using logistic regression analysis and the Light Gradient Boosting Machine (LightGBM) algorithm, and compare the two predictive models. A cross-sectional study was conducted among 309 older patients aged ≥ 60 who underwent AIS. Demographic characteristics, stroke onset characteristics, previous stroke knowledge level, health literacy, and social network were recorded. These data were separately inputted into logistic regression analysis and the LightGBM algorithm to build the predictive models for delay in medical decision-making among older patients with AIS. Five parameters of Accuracy, Recall, F1 Score, AUC and Precision were compared between the two models. The medical decision-making delay rate in older patients with AIS was 74.76%. The factors affecting medical decision-making delay, identified through logistic regression and LightGBM algorithm, were as follows: stroke severity, stroke recognition, previous stroke knowledge, health literacy, social network (common factors), mode of onset (logistic regression model only), and reaction from others (LightGBM algorithm only). The LightGBM model demonstrated the more superior performance, achieving the higher AUC of 0.909. This study used advanced LightGBM algorithm to enable early identification of delay in medical decision-making groups in the older patients with AIS. The identified influencing factors can provide critical insights for the development of early prevention and intervention strategies to reduce delay in medical decisions-making among older patients with AIS and promote patients' health. The LightGBM algorithm is the optimal model for predicting the delay in medical decision-making among older patients with AIS.

Reasons for Delay in Presentation of Acute Stroke Patients in Teritary Health Centre in Abuja

Background: Stroke is a life-threatening condition which continues to be a major public health problem leading to death and severe neurologic disability. The time of presentation remains a crucial for the use of intravenous thrombolysis. This study aims at evaluating the time to presentation of acute stroke and the factors that affect this time, and see if efforts could be made to reduce delay to enhance therapeutic intervention. Methods: This cross-sectional study was carried out with a total of eighty-two consecutive patient admitted into the medical wards. All patients had full clinical assessment and investigations, including demographic aspects, Prior and source of knowledge of stroke warning symptom, means of transportation to the hospital and duration before presentation and possible reasons for delay. Data collected was analysed by frequency, mean, standard deviation and chi-square test. Results: Of the 82 study participants, 50% had Cerebral infarction, 34.1% intracerebral hemorrhage, and 15.9% subarachnoid hemorrhage. Those with previous knowledge of one-sided weakness were 78% and difficulty with speech were 54.9% among the stroke warning symptoms. About 33% presented before 4 hours while 50% of patient presented between 6 to 11hours. Only 3.66% used ambulance service to the hospital. Among the possible reason for delay 45.1% were not aware of the dangers of delayed treatment and 40.2% complain of distance to the hospital. Conclusion: Our study though hospital-based, has been able to highlight unawareness of the dangers of delayed treatment and distance to the hospital as major factors contributing to prehospital delay which are obviously modifiable.

Knowledge of Stroke, Its Symptoms or Signs, Risk Factor and Practice of Prevention among Healthcare Workers in a Tertiary Hospital in Nigeria

Purpose: Stroke is a leading cause of disability globally. Deaths from stroke and stroke-related disability occur more in low-income and middle-income countries. However, most studies narrated a lack of public knowledge and practice related to stroke. This study aims to investigate stroke-related knowledge, associated factors, and prevention practices among Healthcare workers. Materials and Methods: This was a cross-sectional study among 200 Healthcare workers from the Federal Medical Centre, Asaba Nigeria. They were selected by systematic sampling technique to participate in the study. A semi-structured questionnaire was used to collect data on the research variables. Data were analyzed using the IBM SPSS version 25 statistical package Findings: The mean age of respondents was 36.20 ± 10.60 years and they were predominantly females (56.5%). The respondents had good aggregate knowledge of stroke (84%), its warning signs or symptoms (72%), and risk factors (78%). However, the aggregate practice of stroke prevention among healthcare workers was poor (61%). There was a significant association (p &lt; 0.0001) between good knowledge of stroke and Clinical Healthcare when compared with Non-Clinical Health Care workers [Chi-squares =27.1, 95%CI= (0.029-0.256)] but this did not affect their practice [Chi-square =3.570, p-value = 0.02, 95%CI= (0.321-1.023)] Implications to Theory, Practice and Policy: There is a need for healthcare workers to encourage health educational programs on Knowledge and behavior-changing strategies toward stroke prevention practices.

Stroke awareness and knowledge in Sudan: a cross-sectional analysis of public perceptions and understanding.

Stroke, a leading cause of morbidity and mortality globally, demands heightened awareness and knowledge for effective preventive strategies and tailored response. Sudan is classified as a low income country with a low rate of literacy, lack of knowledge, and awareness about diseases. Thus, this study aimed to assess stroke awareness and knowledge among Sudanese population, and identify the associated factors influencing awareness. A cross-sectional study conducted between October and November 2022 through a self-administered online survey distributed via various social media platforms. The study involved adults aged 18 years and above through snow-ball sampling technique. The survey covered general awareness and knowledge concerning stroke risk factors, consequences, and the appropriate responses taken during acute stroke attacks. A total of 410 participants were enrolled in the study, majority (93.4%) were from urban area and had university degree (92.4%). Furthermore, 92.2% were aware about stroke and 74.9% were able to recognize the symptoms of stroke. Only 40.2% identified all correct answers, 96.3, 92.3, and 95.1% recognized at least one risk factor, early symptom, and consequences, respectively. Females were significantly more than males able to identify at least one risk factor. Almost all participants (99.5%) perceived stroke as a serious disease (99.5%). Notably, 86.3% would promptly transport a suspected stroke patient to the hospital. The multivariable analysis showed that females versus males and patients with depression versus without depression had significantly higher odds to identify at least one risk factor (OR of 14.716 [95% CI 1.901; 113.908] and 0.241 [95% CI 0.059; 0.984], respectively). The study concluded that stroke knowledge and awareness among Sudanese population is suboptimal. Furthermore, early stroke recognition and intake of the appropriate management strategies are lacking which highlights the need for targeted education and awareness campaigns.

Knowledge and awareness of stroke in rural and urban communities

IntroductionThe average stroke morbidity rate, especially in rural communities, is higher when compared to the national average. ObjectiveIdentify the profile of knowledge and awareness of stroke in rural and urban communities and analyze the differences between the two. MethodRespondents who met the requirements answered a questionnaire containing a total of 41 items regarding knowledge and awareness of stroke. Characteristic data obtained includes age, gender, education, occupation, and ethnicity. Differences in characteristics were analyzed using Mann-Whitney, and the profiles of knowledge and awareness of stroke in rural and urban groups were analyzed using independent t tests to see differences between the two. ResultDifferences in the characteristics of rural and urban groups were only in education (p = 0.036) and occupation (p = 0.021). The mean score of the knowledge domain for the rural group was 72.53 (SD = 11.04), for the urban group it was 81.06 (SD = 11.12). The mean score awareness of stroke domain in the rural group was 72.18 (SD = 11.01), the urban group was 85.51 (SD = 11.67). The profile of knowledge and awareness of stroke in rural communities was significantly lower than in urban communities. The significance value was (p = 0.004) for knowledge and (p = 0.002) for awareness of stroke. ConclusionBased on the findings, it is reasonable to suspect that educational and occupational factors contribute to differences in the profile of knowledge and awareness of stroke in the two groups. Therefore, the stroke awareness campaign strategy for rural communities needs to be specifically designed by emphasizing/considering educational and occupational factors.

Knowledge and self-perceived competence about cardiopulmonary resuscitation among youths: a cross-sectional study in a sample of Italian undergraduates.

Cardiopulmonary resuscitation is fundamental to improve the outcomes of a life-threatening event. The correct knowledge of first aid actions to provide may guarantee the victim's survival. This study was aimed at evaluating the competence about cardiopulmonary resuscitation and its predictors in a sample of Italian undergraduate students. Information on socio-demographic characteristics, first aid training, knowledge of stroke and heart attack symptoms and perceived ability to provide first aid, were collected through a web-based questionnaire. On a total of 744 respondents (mean age 23.9±5.4 years, 62.5% female), 71.4% identified correctly first aid actions, 59.9% and 60.8% showed a good knowledge of stroke and heart attack symptoms, respectively. However, only 39.0% of them declared their ability to intervene in case of emergency. Attending a healthcare degree course and having had first aid training were associated with knowledge of symptoms and perceived ability to provide first aid. Female gender was negatively related with perceived ability to intervene. In spite of the satisfactory level of knowledge, these findings highlight the need to enhance the competence about cardiopulmonary resuscitation in the lay population, especially among females.

The Use of the Acute Stroke Management Questionnaire to Measure Acute Care Nurses' Stroke Knowledge.

BACKGROUND: Nurses are key in identifying and treating in-hospital strokes (IHSs). Delayed treatment times and poor patient outcomes are associated with IHSs. Information is needed on nurses' stroke knowledge and the objective measurement of stroke knowledge using a validated tool. The Acute Stroke Management Questionnaire (ASMaQ) was recently developed to test stroke knowledge of healthcare professionals but has not been used on a nursing-specific population. METHODS: Through online surveying and use of ASMaQ, we will measure stroke knowledge of nurses caring for adult, hospitalized patients in an urban, southeast US health system. RESULTS: Total N is 196. Most participants (74.5%, n = 146) never worked on a stroke floor; however, almost all (95.9%, n = 188) cared for a stroke patient in the past. Most participants (65.3%, n = 128) reported receiving prelicensure stroke education, and 98.5% (n = 193) received postlicensure stroke education. Acute Stroke Management Questionnaire total scores ranged from 93 to 133 (mean [SD], 117.35 [8.15]). Most participants scored in the good stroke knowledge range for all 3 ASMaQ domains and total ASMaQ score. CONCLUSION: The online delivery of the ASMaQ was successful in testing nurses' stroke knowledge, and nurses were shown to have good stroke knowledge. Future initiatives should focus on discerning whether certain nurse characteristics predict higher or lower levels of stroke knowledge to help inform educational initiatives to improve IHS outcomes.

Stroke Awareness and Knowledge in the At-Risk Population: A Community-Based Study.

The BE-FAST (balance, eyes, face, arms, speech, and time) mnemonic helps to identify stroke symptoms, which has been publicized through social media in Thailand for a while. Timely access to medical care enhances the likelihood of receiving efficacious treatment, thereby mitigating the adverse consequences of the stroke. Thus, stroke awareness in the general population, especially in the population at risk, is crucial. The purpose of the study was to evaluate stroke awareness and the level of knowledge about stroke in Thailand. Adult participants aged at least 40 years, without a history of stroke, were included, with exclusions limited to those unwilling to participate. Data were gathered from the survey during two community visits and through an electronic survey via Google Forms (Google LLC, Mountain View, California, United States). A pre-tested questionnaire was divided into three parts: symptoms of acute stroke, vascular risk factors, and response. Demographics were compared between participants with good and poor knowledge of stroke awareness. A total of 281 participants were included, with a mean age of 58 years and 60% (n=169) of participants having at least one vascular risk factor. Of the responders,133 (47%) had good knowledge of stroke awareness. Older age (age > 50 years, OR 0.326, 95%CI 0.173-0.615, p-value = 0.001), higher education (> 6 years, OR 0.266, 95%CI 0.139-0.508, p-value < 0.001)), and being female (OR 0.474, 95%CI 0.252-0.891, p-value = 0.020) were related to good stroke knowledge. Participants with good knowledge of stroke awareness also had good knowledge of vascular risk factors (84%; n=112), knew that they should come to the hospital immediately (74%; n=98), and also correctly identified the emergency calling number (90%; n=119). Only half of the participants had good knowledge of stroke awareness. There is a need for improvement in the distribution of knowledge about stroke in Thailand.

Comparative Analysis of Stroke and Hypertension Knowledge among Pharmacy Students in Dharashiv, India: A Cross-sectional Investigation

Comparative Analysis of Stroke and Hypertension Knowledge among Pharmacy Students in Dharashiv, India: A Cross-sectional Investigation

Hubungan Tingkat Pendidikan dengan Pengetahuan Stroke pada Lansia

Stroke is the second leading cause of death worldwide and the third leading cause of disability. On the other hand, experience can help someone solve a problem. Stroke survivor who has learned from experience in dealing with a stroke will make more considered decisions and be more cautious when recognizing the signs and symptoms that occur in patients. The aim of this study is to determine the relationship between education level and experience with the knowledge of elderly individuals at Posyandu Laweyan. This research used a descriptive qualitative research design with a cross-sectional study design. The study was conducted at Posyandu under the supervision of the Laweyan Community Health Center. Data collection took place from March to July 2023 involving 45 respondents. The data were then analyzed using the Spearman-Correlation test to observe the relationship between experience and knowledge level. The results of the analysis showed a p-value of 0.018 (0.05); r = 0.351, indicating a significant correlation between the education level and stroke knowledge level among the elderly.

Analyzing prehospital delays in recurrent acute ischemic stroke: Insights from interpretable machine learning

ObjectiveThis study investigates prehospital delays in recurrent Acute Ischemic Stroke (AIS) patients, aiming to identify key factors contributing to these delays to inform effective interventions. MethodsA retrospective cohort analysis of 1419 AIS patients in Shenzhen from December 2021 to August 2023 was performed. The study applied the Extreme Gradient Boosting (XGBoost) algorithm and SHapley Additive exPlanations (SHAP) for identifying determinants of delay. ResultsLiving with others and lack of stroke knowledge emerged as significant risk factors for delayed hospital presentation in recurrent AIS patients. Key features impacting delay times included residential status, awareness of stroke symptoms, presence of conscious disturbance, diabetes mellitus awareness, physical weakness, mode of hospital presentation, type of stroke, and presence of coronary artery disease. ConclusionPrehospital delays are similarly prevalent among both recurrent and first-time AIS patients, highlighting a pronounced knowledge gap in the former group. This discovery underscores the urgent need for enhanced stroke education and management. Practice implicationThe similarity in prehospital delay patterns between recurrent and first-time AIS patients emphasizes the necessity for public health initiatives and tailored educational programs. These strategies aim to improve stroke response times and outcomes for all patients.

Evaluation of stroke awareness and risk factor prevalence among students at a public sector university in Quetta

Background and Objective:&#x0D; Stroke is the leading cause of death and disability. Improving stroke knowledge among medical students will help to improve stroke care and its prevention. This study aims to evaluate the prevalence of risk factors and stroke awareness among university students.&#x0D; Methods:&#x0D; This cross-sectional study was conducted among students at Sardar Bahadur Khan Women's University in Quetta. An eleven-question multiple-choice survey was administered to assess participants' knowledge of stroke-related concepts. The initial study was conducted using descriptive statistics. Additionally, a supplementary screening for common risk factors linked to stroke was included in the study, which involved blood pressure, blood sugar, and cholesterol measures. Data were coded, entered into SPSS, and screened for missing values and outliers. Descriptive analyses were conducted, including frequency tables and graphical representations using pie charts.&#x0D; Results:&#x0D; In our survey of 255 female students, the vast majority (94.9%) correctly classified stroke as a brain disease, whereas a lesser percentage (1.6%) confused it with heart (0.8%), kidney (0.8%), or lung diseases (0.8%) problems. Notably, 74.1% of participants were aware of the precise cause of stroke, but 58.8% identified arm and leg weakness as a symptom. Other symptoms that were recognized by participants included difficulties speaking (25.5%), headache (9.8%), vertigo (2.4%), and chest pain (3.4%). Moreover, 94.9% of participants recognized that stroke is preventable. The most often diagnosed risk factor was hypertension (58.4%), which was followed by high cholesterol (11.8%), diabetes (9.0%), migraine (8.2%), advanced age (7.8%), and smoking (4.7%).&#x0D; Conclusion&#x0D; Our study shows a very good knowledge about stroke among the students at Sardar Bahadur Khan University but our results are biased due to addressing only an educated group of people.

Are we missing an opportunity? Prehospital delay in patients with acute ischemic stroke and known atrial fibrillation

Introduction and ObjectivesThe follow-up of patients with atrial fibrillation (AF) presents an opportunity to alert patients and their families on how to recognize and act in the event of stroke. Our aim was to compare stroke recognition-to-door time and prehospital stroke code activation in patients with known AF (KAF) and AF detected after stroke (AFDAS). MethodsWe performed a retrospective cohort study of consecutive patients receiving acute recanalization treatment for acute ischemic stroke between January 2016 and August 2022, with AF as a potential stroke cause. Patients were divided into KAF and AFDAS, and stroke recognition-to-door time and prehospital stroke code activation were compared. In the KAF subgroup, we assessed whether the use of preadmission anticoagulation was associated with the studied prehospital parameters. ResultsWe included 438 patients, 290 female (66.2%), mean age 79.3±9.4 years. In total, 238 patients had KAF (54.3%) and 200 (45.7%) had AFDAS. Of those with KAF, 114 (48.1%) were pretreated with anticoagulation. Patients with KAF and AFDAS had no differences in stroke recognition-to-door time (74.0 [55.0–101.0] vs. 78.0 [60.0–112.0] min; p=0.097) or prehospital stroke code activation [148 (64.6%) vs. 128 (65.3%); p=0.965]. In the KAF subgroup, preadmission anticoagulation did not influence stroke recognition-to-door time or mode of hospital admission. ConclusionStroke recognition-to-door time and prehospital stroke code activation were similar between patients with known or newly diagnosed AF. Preadmission anticoagulation treatment also did not affect the studied parameters. Our findings highlight a missed opportunity to promote stroke knowledge in patients followed due to AF.

Abstract 3: A Randomized Clinical Trial Evaluating the Impact of a Personalized Video-Based Educational Platform After Discharge

Introduction: Stroke knowledge, risk factor awareness, and medication adherence are critical to post-stroke outcomes. Here, we aimed to quantify the impact of a personalized video-based educational platform that facilitates ongoing engagement after discharge. Hypothesis: We hypothesize that a personalized educational platform improves patient satisfaction and stroke knowledge. Methods: In a single-center randomized trial, stroke patients and caregivers were randomized to receive standard stroke education during the hospitalization or access to MyStroke, a personalized educational platform with brief videos about their stroke etiology, risk factors, medications, and post-stroke lifestyle. Satisfaction, quality of life, and stroke knowledge were assessed 90 days after discharge. Results: 120 subjects (96 patients and 24 caregivers) were randomized to receive MyStroke (n=61) or standard education (n=59). Satisfaction with stroke education was higher among those who received MyStroke ( Figure 1 ). Participants who received MyStroke were more likely to correctly identify their stroke etiology, but no effect was observed with respect to risk factor recognition, medication awareness, or quality of life ( Table 1 ). Participants without a college degree experienced a larger educational benefit and improved in quality of life ( Table 1 ). Conclusions: The MyStroke personalized video-based education platform improved stroke knowledge, and then impact was augmented in subjects with less formal education. A multicenter trial is needed to confirm these results, clarify generalizability, and target clinically relevant metrics such as stroke recurrence or adherence.

Knowledge and attitude towards stroke among the population of one rural community in southern Thailand: a survey

ObjectiveTo evaluate attitude and knowledge of stroke in a rural community in southern Thailand.DesignA survey.SettingA community in southern Thailand.ParticipantsAll community members aged ≥18 years who were at home during the...

Abstract WP75: Interprofessional Medical Education in a Stroke Escape Room to Improve Stroke Education and Communication Skills

Purpose: Acute stroke care requires a foundation of clinical knowledge to quickly recognize symptoms and facilitate rapid, safe treatment. Effective care requires a complex network of communication in a stroke response team. Simulation-based training provides a multimodal approach to learning that reinforces clinical knowledge of stroke and affords the opportunity to demonstrate effective communication skills in critical situations. An interprofessional scenario allows all participants to learn about the different roles required for effective care. Methods: Fifty new graduate nurses participated in a pilot model of a traditional didactic session on stroke knowledge, followed by an “escape room” incorporating this knowledge to solve puzzles. The second iteration was expanded to include incoming neurology PGY-2 residents, registered nurses, and pharmacy residents. After the lecture, participants formed teams including equal numbers of all provider roles. The teams were tasked to complete a timed version of the escape room by solving stroke-based puzzles. The escape room was followed by a debrief of communication skills modeled by TeamSTEPPS. Finally, the same teams were exposed to a simulated “stroke code," which included a focused assessment, interpretation of labs and imaging, and management of barriers to treatment with an end goal of collectively managing a suspected stroke. Results: A 5-point scale was used to assess level of comfort with leadership in initial stroke assessment, management, treatment, and communicating concerns. The average increase in numeric level of comfort was 0.9 (range 0.6 - 1.4). The benefit did appear greater for incoming neurology PGY-2 residents (average increase 1.3, range 0.6 - 1.6) compared to registered nurses (average increase 0.45, range 0.25 to 0.75). Conclusions: Use of an escape room during training for incoming neurology PGY-2 residents, registered nurses, and pharmacy residents provided a novel opportunity to facilitate application of clinical knowledge, leadership, teamwork, shared decision-making, and prioritization of patient safety. Providing interactive sessions in between didactic instruction increased participant engagement and level of comfort with roles in a stroke response team.