Predictors for Returning to Paid Work after Transient Ischemic Attack and Minor Ischemic Stroke

Wicht, Corentin A.; Chavan, Camille F.; Annoni, Jean‐Marie; Balmer, Philippe; Aellen, Jérôme; Humm, Andrea M.; Roten, Fabienne Crettaz von; Spierer, Lucas; Medlin, Friedrich

doi:10.3390/jpm12071109

Cited by 3 publications

(3 citation statements)

References 37 publications

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“…Based on previous study, people who work harder also have a higher risk of stroke than people who work moderately or casually [40]. Private workers sometimes work harder than government employees.…”

Section: Resultsmentioning

confidence: 97%

Electronic Medical Record Data Analysis and Prediction of Stroke Disease Using Explainable Artificial Intelligence (XAI)

Pamungkas

Wibawa

Cahya

2022

KINETIK

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The deficiency of oxygen in the brain will cause the cells to die, and the body parts controlled by the brain cells will become dysfunctional. Damage or rupture of blood vessels in the brain is better known as a stroke. Many factors affect stroke. These factors certainly need to be observed and alerted to prevent the high number of stroke sufferers. Therefore, this study aims to analyze the variables that influence stroke in medical records using statistical analysis (correlation) and stroke prediction using the XAI algorithm. Factors analyzed included gender, age, hypertension, heart disease, marital status, residence type, occupation, glucose level, BMI, and smoking. Based on the study results, we found that women have a higher risk of stroke than men, and even people who do not have hypertension and heart disease (hypertension and heart disease are not detected early) still have a high risk of stroke. Married people also have a higher risk of stroke than unmarried people. In addition, bad habits such as smoking, working with very intense thoughts and activities, and the type of living environment that is not conducive can also trigger a stroke. Increasing age, BMI, and glucose levels certainly affect a person's stroke risk. We have also succeeded in predicting stroke using the EMR data with high accuracy, sensitivity, and precision. Based on the performance matrix, PNN has the highest accuracy, sensitivity, and F-measure levels of 95%, 100%, and 97% compared to other algorithms, such as RF, NB, SVM, and KNN.

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Section: Resultsmentioning

confidence: 97%

Electronic Medical Record Data Analysis and Prediction of Stroke Disease Using Explainable Artificial Intelligence (XAI)

Pamungkas

Wibawa

Cahya

2022

KINETIK

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“…Having paid employment means that daily life and functional activities necessary for a stroke patient's work life are smoother, and their job capabilities are properly restored [11,33]. Returning to work also improves patients' self-esteem, social well-being, and sense of fellowship with colleagues in a social environment [33,34]. These factors can be interpreted as having appropriate effects on motor control, in which various stimuli, such as driving, are simultaneously processed.…”

Section: Discussionmentioning

confidence: 99%

Driving Rehabilitation for Stroke Patients: A Systematic Review with Meta-Analysis

Song

2023

Healthcare

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Driving enables stroke survivors to freely participate in social integration. The purpose of this review was to summarize the evidence for the therapeutic effects of driving rehabilitation for patients when they return to driving after stroke and evaluate the predictors of returning to driving to identify the factors impacting their driving rehabilitation. This study employed a systematic review and meta-analysis. PubMed and four other databases were searched until 31 December 2022. Our review included randomized controlled trials (RCT) and non-RCTs that investigated driving rehabilitation for stroke and observational studies. A total of 16 studies (two non-RCT and 14 non-RCT) were reviewed; two RCTs investigated the effect of driving rehabilitation with a simulator system, and eight and six non-RCTS evaluated the predictive factors of driving return post-stroke and compared the effects of driving rehabilitation for stroke, respectively. The National Institute of Health Stroke Scale (NIHSS) and Mini Mental State Examination (MMSE) scores and having paid employment were significant predictors of resuming driving after stroke. The results suggest that NIHSS, MMSE, and paid employment are predictors of returning to driving post-stroke. Future research should investigate the effect of driving rehabilitation on the resumption of driving in patients with stroke.

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“…Aphasia is linked to poor functional communication outcomes [7,10], little opportunity of return to work [11,12] and reduced activities of daily living (ADL) [6,13]. A high incidence of depression is also reported, with estimates ranging between 62 and 70% and higher, for PWA compared to stroke survivors without aphasia [14].…”

Section: Aphasia and Qolmentioning

confidence: 99%

Adaptation of the Aphasia Impact Questionnaire-21 into Greek: A Reliability and Validity Study

Charalambous

Phylactou

Kountouri³

et al. 2022

CTN

Self Cite

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The impact of aphasia on the everyday life of Greek-speaking people with aphasia (PWA) is often underestimated by rehabilitation clinicians. This study explores the adaptation and psychometric properties of the Greek (GR) version of The Aphasia Impact Questionnaire-21 (AIQ-21-GR) to address this issue. The aim of this study is to determine the reliability and validity of the Greek version of the AIQ-21. The AIQ-21-GR was administered to 69 stroke survivors, 47 with aphasia and 22 without aphasia. The data were analyzed to determine reliability and validity. Content validity was based on the Consensus-based Standards for the selection of health Measurement Instruments guidelines. The AIQ-21-GR shows high levels of reliability and validity. The results confirmed high scores of internal consistency (Cronbach’s α = 0.91) and indicated good known—groups validity (Mann–Whitney U = 202, p < 001). Content validity achieved high scores with an overall median score of 4 [Q25 = 4, Q75 = 5]. The psychometric properties of the AIQ-21-GR support the reliability and validity of the tool for investigating the impact of aphasia on the quality of life of Greek-speaking PWA. The AIQ-21-GR can be used for setting functional goals in collaboration with PWA and as a patient reported outcome measure for functional communication training.

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Predictors for Returning to Paid Work after Transient Ischemic Attack and Minor Ischemic Stroke

Cited by 3 publications

References 37 publications

Electronic Medical Record Data Analysis and Prediction of Stroke Disease Using Explainable Artificial Intelligence (XAI)

Electronic Medical Record Data Analysis and Prediction of Stroke Disease Using Explainable Artificial Intelligence (XAI)

Driving Rehabilitation for Stroke Patients: A Systematic Review with Meta-Analysis

Adaptation of the Aphasia Impact Questionnaire-21 into Greek: A Reliability and Validity Study

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