{"title":"探索严重中风后的出院目的地","authors":"W. Teoh, Emma Finch","doi":"10.1017/brimp.2020.4","DOIUrl":null,"url":null,"abstract":"Patients with severe stroke frequently present with substantial impairments but are often not prioritised for post-discharge rehabilitation. There is a need to determine where these patients are discharged to in order to facilitate appropriate allocation of post-discharge pathway resources.The present study aimed to describe the discharge pathways of patients with severe stroke and to identify predictors of discharge destination for these patients.A descriptive, retrospective design was utilised to determine the discharge destination for 770 patients with severe stroke in Queensland, Australia. Binomial logistic regression was used to determine the variables that predicted discharge destination.The results indicated that 58.44% of patients were discharged home (n = 450). Age, length of stay, discharge ward and geographical region emerged as significant predictors of discharge destination. The full model containing all predictors was statistically significant and, as a whole, explained 36.50% of the variance in discharge destination.These results highlight the importance of these variables in influencing the outcomes of patients with severe stroke, which may assist post-hospital discharge services in allocating resources for patients with severe stroke.","PeriodicalId":56329,"journal":{"name":"Brain Impairment","volume":"11 1","pages":"1-12"},"PeriodicalIF":1.1000,"publicationDate":"2020-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Exploring discharge destination following severe stroke\",\"authors\":\"W. Teoh, Emma Finch\",\"doi\":\"10.1017/brimp.2020.4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Patients with severe stroke frequently present with substantial impairments but are often not prioritised for post-discharge rehabilitation. There is a need to determine where these patients are discharged to in order to facilitate appropriate allocation of post-discharge pathway resources.The present study aimed to describe the discharge pathways of patients with severe stroke and to identify predictors of discharge destination for these patients.A descriptive, retrospective design was utilised to determine the discharge destination for 770 patients with severe stroke in Queensland, Australia. Binomial logistic regression was used to determine the variables that predicted discharge destination.The results indicated that 58.44% of patients were discharged home (n = 450). Age, length of stay, discharge ward and geographical region emerged as significant predictors of discharge destination. The full model containing all predictors was statistically significant and, as a whole, explained 36.50% of the variance in discharge destination.These results highlight the importance of these variables in influencing the outcomes of patients with severe stroke, which may assist post-hospital discharge services in allocating resources for patients with severe stroke.\",\"PeriodicalId\":56329,\"journal\":{\"name\":\"Brain Impairment\",\"volume\":\"11 1\",\"pages\":\"1-12\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2020-04-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brain Impairment\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1017/brimp.2020.4\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain Impairment","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1017/brimp.2020.4","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Exploring discharge destination following severe stroke
Patients with severe stroke frequently present with substantial impairments but are often not prioritised for post-discharge rehabilitation. There is a need to determine where these patients are discharged to in order to facilitate appropriate allocation of post-discharge pathway resources.The present study aimed to describe the discharge pathways of patients with severe stroke and to identify predictors of discharge destination for these patients.A descriptive, retrospective design was utilised to determine the discharge destination for 770 patients with severe stroke in Queensland, Australia. Binomial logistic regression was used to determine the variables that predicted discharge destination.The results indicated that 58.44% of patients were discharged home (n = 450). Age, length of stay, discharge ward and geographical region emerged as significant predictors of discharge destination. The full model containing all predictors was statistically significant and, as a whole, explained 36.50% of the variance in discharge destination.These results highlight the importance of these variables in influencing the outcomes of patients with severe stroke, which may assist post-hospital discharge services in allocating resources for patients with severe stroke.
期刊介绍:
The journal addresses topics related to the aetiology, epidemiology, treatment and outcomes of brain impairment with a particular focus on the implications for functional status, participation, rehabilitation and quality of life. Disciplines reflect a broad multidisciplinary scope and include neuroscience, neurology, neuropsychology, psychiatry, clinical psychology, occupational therapy, physiotherapy, speech pathology, social work, and nursing. Submissions are welcome across the full range of conditions that affect brain function (stroke, tumour, progressive neurological illnesses, dementia, traumatic brain injury, epilepsy, etc.) throughout the lifespan.