scholarly journals 248 An Evaluation of Patient Education Post-Stroke

2019 ◽  
Vol 48 (Supplement_3) ◽  
pp. iii17-iii65
Author(s):  
Laura Morrison ◽  
Claire McAteer ◽  
Lisa Donaghy ◽  
Marie O'Connor ◽  
Eamon Dolan
Keyword(s):  
Risk Factors ◽  
Stroke Risk ◽  
Haemorrhagic Stroke ◽  
University Teaching ◽  
Post Stroke ◽  
Stroke Risk Factors ◽  
Written Information ◽  
Stroke Diagnosis ◽  
Brain Scan ◽  
Discharge Letter

Abstract Background In 2018, 212 acute strokes were diagnosed in our university teaching hospital. Our stroke service is evolving to meet the needs of this growing population. The aim of this study was to evaluate the knowledge patients have about their stroke diagnosis and identify how to improve education given post-stroke. Methods Thirty consecutive patients attending stroke clinic completed a questionnaire, including questions regarding aetiology of their stroke, medications started, driving and education received as an inpatient. Results The thirty patients were a median of 16 months post-stroke. One had a haemorrhagic stroke, all others ischaemic stroke. Only 33% correctly described the type of stroke they had. 50% correctly identified all the risk factors they had been diagnosed with, including atrial fibrillation, hypertension, hypercholesterolaemia and carotid stenosis. 70% of patients reported receiving education in hospital post-stroke. Of these, 13% received written information. 30% of patients were shown their brain scan and the majority (89%) found it beneficial. 71% of those who did not see their scan would have liked to. 52% reported knowing which medications had been started post-stroke but only 23% of patients listed new medications correctly. 43% of patients felt they did not receive enough information about new medications and 27% reported either sometimes or frequently missing medications. 77% of patients drove before their stroke. 74% of these reported that they were advised not to drive post-stroke. Of these, 35% correctly identified how long they were advised not to drive for. Only 26% of those driving before their stroke had driving advice in their discharge letter. Conclusion These results illustrate areas in which we can improve education post-stroke, including ensuring patients receive individualised information about the aetiology of their stroke, risk factors and the importance of new medications. It also highlights the importance of ensuring advice regarding driving is clearly explained and documented.

Stroke in CT-scan Department of Khartoum Hospital, Sudan

2007 ◽  
Vol 37 (4) ◽  
pp. 244-245 ◽  
Author(s):  
Ahmed M El Zein ◽  
Elfateh A Bukhari ◽  
Susan Homeida ◽  
Ishag Adam
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Computed Tomography ◽  
Clinical Characteristics ◽  
Stroke Risk ◽  
Haemorrhagic Stroke ◽  
Computed Tomography Scan ◽  
Prospective Data ◽  
Stroke Risk Factors ◽  
Tomography Scan

Prospective data were collected on consecutive patients admitted to Khartoum Teaching Hospital with a diagnosis of stroke. Risk factors and clinical characteristics were assessed by neurological examination and computed tomography scan. A total of 128 patients were enrolled in the study, of whom 74 (57.8%) were men. The age (mean±standard deviation) of the patients was 53±18.5 years. Eighty-five (66.4%) and 43 (33.6%) patients had ischaemic and haemorrhagic stroke, respectively. Hypertension, diabetes mellitus, smoking, heart disease and hypercholesterolaemia were the risk factors for stroke. Thus, further studies are needed on stroke. Hypertension should be discovered early and treated effectively.

scholarly journals Hypertension Risk Factor Control Effort In Post Stroke Patients

2022 ◽  
Vol 4 (2) ◽  
pp. 639-644
Author(s):  
Yosi Suryarinilsih ◽  
Hendri Budi ◽  
Netti Netti ◽  
Wiwi Sartika
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Health Education ◽  
Stroke Risk ◽  
Recurrent Stroke ◽  
Stroke Patients ◽  
Post Stroke ◽  
Stroke Risk Factors ◽  
Breathing Exercises ◽  
Significant Difference

Post-stroke patients have risk factors for recurrent stroke. The main risk factor is hypertension. The purpose of this community service activity is to improve the ability of the community, especially post-stroke patients, to control hypertension as a risk factor for recurrent stroke through identification of risk factors, health education and the application of light activity and deep breathing exercises. Before education is given, post-stroke patients and their families are given prestest first and after education, posttest returns to evaluate the patient's understanding. The results of the activity, there was a significant difference between the knowledge before and after being given education to post-stroke patients and their families with p value <0.05. To the head of the room and the neuroscientific nurse, dr. M. Djamil Padang can continue the activity of identifying recurrent stroke risk factors and health education related to control of recurrent stroke risk factors in post-stroke patients by involving the Health Promotion (Promkes) department of Dr. M. Djamil Padang.

scholarly journals 947. Stroke demographics and risk factor profile in HIV infected individuals in Florida

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S506-S506
Author(s):  
Folusakin Ayoade ◽  
Dushyantha Jayaweera
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Clinical Research ◽  
Stroke Risk ◽  
Research Network ◽  
Categorical Variables ◽  
People Living With Hiv ◽  
Risk Factor Profile ◽  
Stroke Risk Factors ◽  
Living With Hiv

Abstract Background The risk of ischemic stroke (IS) is known to be higher in people living with HIV (PLWH) than uninfected controls. However, information about the demographics and risk factors for hemorrhagic stroke (HS) in PLWH is scant. Specifically, very little is known about the differences in the stroke risk factors between HS and IS in PLWH. The goal of this study was to determine the demographics and risk factor differences between HS and IS in PLWH. Methods We retrospectively analyzed the demographic and clinical data of PLWH in OneFlorida (1FL) Clinical Research Consortium from October 2015 to December 2018. 1FL is a large statewide clinical research network and database which contains health information of over 15 million patients, 1240 clinical practices, and 22 hospitals. We compared HS and IS based on documented ICD 9 and 10 diagnostic codes and extracted information about sociodemographic data, traditional stroke risk factors, Charlson comorbidity scores, habits, HIV factors, diagnostic modalities and medications. Statistical significance was determined using 2-sample T-test for continuous variables and adjusted Pearson chi square for categorical variables. Odds ratio (OR) and 95% confidence intervals (CI) between groups were compared. Results Overall, from 1FL sample of 13986 people living with HIV, 574 subjects had strokes during the study period. The rate of any stroke was 18.2/1000 person-years (PYRS). The rate of IS was 10.8/1000 PYRS while the rate of HS was 3.7/1000 PYRS, corresponding to 25.4% HS of all strokes in the study. Table 1 summarizes the pertinent demographic and risk factors for HS and IS in PLWH in the study. Table 1: Summary of pertinent demographic and risk factors for hemorrhagic and ischemic strokes in people living with HIV from One Florida database Conclusion In this large Floridian health database, demographics and risk factor profile differs between HS and IS in PLWH. Younger age group is associated with HS than IS. However, hypertension, hyperlipidemia and coronary artery disease are more likely to contribute to IS than HS in PLWH. Further research is needed to better understand the interplay between known and yet unidentified risk factors that may be contributing to HS and IS in PLWH. Disclosures All Authors: No reported disclosures

The Burden of Stroke in Pakistan

2008 ◽  
Vol 3 (4) ◽  
pp. 293-296 ◽  
Author(s):  
Bhojo A. Khealani ◽  
Mohammad Wasay
Keyword(s):  
Risk Factors ◽  
Stroke Risk ◽  
Case Series ◽  
Stroke Care ◽  
Poor Control ◽  
Stroke Incidence ◽  
Treatment Practices ◽  
Stroke Risk Factors ◽  
The Subject ◽  
Artery Disease

Epidemiologic literature on stroke burden, patterns of stroke is almost non existent from Pakistan. However, several hospital-based case series on the subject are available, mainly published in local medical journals. Despite the fact that true stroke incidence and prevalence of stroke in Pakistan is not known, the burden is assumed to be high because of highly prevalent stroke risk factors (hypertension, diabetes mellitus, coronary artery disease, dyslipidemia and smoking) in the community. High burden of these conventional stroke risk factors is further compounded by lack of awareness, poor compliance hence poor control, and inappropriate management/treatment practices. In addition certain risk factors like rheumatic valvular heart disease may be more prevalent in Pakistan. We reviewed the existing literature on stroke risk factors in community, the risk factor prevalence among stroke patients, patterns of stroke, out come of stroke, availability of diagnostic services/facilities related to stroke and resources for stroke care in Pakistan.

scholarly journals Knowledge of Stroke Risk Factors among Stroke Survivors in Nigeria

2016 ◽  
Vol 2016 ◽  
pp. 1-5
Author(s):  
Grace Vincent-Onabajo ◽  
Taritei Moses
Keyword(s):  
Risk Factors ◽  
Stroke Risk ◽  
Tertiary Education ◽  
Effective Means ◽  
Descriptive Statistics ◽  
Stroke Survivors ◽  
Questionnaire Data ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Stroke Risk Factors

Background. Knowledge of stroke risk factors is expected to reduce the incidence of stroke—whether first-ever or recurrent. This study examined knowledge of stroke risk factors and its determinants among stroke survivors.Methods. A cross-sectional survey of consenting stroke survivors at two physiotherapy facilities in Nigeria was carried out. Sociodemographic and clinical data were obtained and knowledge of stroke risk factors (defined as the ability to mention at least one correct risk factor) was assessed using open-ended questionnaire. Data were treated with descriptive statistics and logistic regression analysis.Results. Sixty-nine stroke survivors (male = 72.5%; mean ± SD age =49.7±10.6years) participated in the study. Thirty-four (49.4%) participants had knowledge of stroke risk factors. Only educational level was significantly associated with knowledge and participants with tertiary educational qualification were about 48 times (odds ratio = 48.5; CI = 7.6–309.8;P<0.0001) more likely to be knowledgeable than those with no education.Conclusion. Less than half of the participants had knowledge of stroke risk factors. Participants with tertiary education were significantly more knowledgeable than those with lower educational qualifications. Effective means of educating stroke survivors on stroke risk factors should be identified and adopted.

Abstract WP182: Trends in Acute Ischemic Stroke Hospitalizations and Risk Factors Among Young Adults: 12 Years of Nationally Representative Data

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Urvish K Patel ◽  
Priti Poojary ◽  
Vishal Jani ◽  
Mandip S Dhamoon
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Young Adults ◽  
Ischemic Stroke ◽  
Length Of Stay ◽  
Acute Ischemic Stroke ◽  
Stroke Risk ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Stroke Risk Factors

Background: There is limited recent population-based data of trends in acute ischemic stroke (AIS) hospitalization rates among young adults (YA). Rising prevalence of stroke risk factors may increase stroke rates in YA. We hypothesized that 1) stroke hospitalizations and mortality among YA are increasing over time (2000-2011), 2) besides traditional stroke risk factors, non-traditional factors are associated with stroke in YA, 3) stroke hospitalization among YA is associated with higher mortality, length of stay (LOS), and cost. Methods: In the Nationwide Inpatient Sample database (years 2000-2011), adult hospitalizations for AIS and concurrent diagnoses were identified by ICD-9-CM codes; the analytic cohort constituted all AIS hospitalizations. We performed weighted analysis using chi-square, t-test, and Jonckheere trend test. Multivariable survey regression models evaluated interactions between age group (18-45 vs. >45 years) and traditional and non-traditional risk factors, with outcomes including mortality, LOS, and cost. Models were adjusted for race, sex, Charlson’s Comorbidity Index, primary payer, location and teaching status of hospital, and admission day. Results: Among 5220960 AIS hospitalizations, 231858 (4.4%) were YA. On trend analysis, proportion of YA amongst AIS increased from 3.6% in 2000 to 4.7% in 2011 (p<0.0001) but mortality in YA decreased from 3.7% in 2000 to 2.6% in 2011, compared to 7.1% in 2000 to 4.6% in 2011 (p<0.0001) among older adults. Non-traditional, especially behavioral, risk factors were more common among YA, and LOS and cost were higher (Table). Conclusion: There was a trend for higher proportion of YA among AIS hospitalizations, though there was a decreasing mortality trend over 10 years. Behavioral risk factors were more common among YA, and there was an increased length of stay and cost. AIS in YA may require different preventive approaches compared to AIS among older adults.

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