Predicting length of hospitalisation and social factors
نویسندگان
چکیده
منابع مشابه
Predicting length of hospitalisation and social factors.
SIR—The paper by Supervia et al. [1] published in Age and Ageing showed that the Barthel Index could predict the length of stay (LOS) of elderly patients in a Short Stay Unit (SSU). Strict admission criteria are applied in these units because their expected average stay is 4–5 days. Frequently, patients with perceived 'social problems' are excluded from admission [2], assuming that social needs...
متن کاملDetermining Factors Influencing Length of Stay and Predicting Length of Stay Using Data Mining in the General Surgery Department
Background: Length of stay is one of the most important indicators in assessing hospital performance. A shorter stay can reduce the costs per discharge and shift care from inpatient to less expensive post-acute settings. It can lead to a greater readmission rate, better resource management, and more efficient services. Objective: This study aimed to ident...
متن کاملfaculty of psychology and social sciences group of anthropology master thesis in major of anthropology
چکیده پایان نامه (شامل خلاصه، اهداف، روش های اجرا و نتایج به دست آمده): کار جمع آوری گو یش های محلی در سال های اخیر شتاب امیدوار کننده ای به خود گرفته است. شاید از بارزترین اهداف جمع آوری گویش های مختلف، ثبت و ضبط آن، جلوگیری از نابودی و مهمتر از همه حل مشکلات دستوری زبان رسمی باشد. دقت در فرآیند های زبانی گویش های محلی نوع ارتباط مردم نواحی مختلف با پیرامون نشان را به ما نشان خواهد داد. از س...
Telehealth Factors for Predicting Hospital Length of Stay.
Identifying older adults with heart failure at risk for hospital readmission is challenging, and risk prediction models may be improved with inclusion of telehealth factors. In the current study, demographic, clinical, telehealth, and use data for emergency department (ED) presentations, hospitalizations, and length of stay (LOS) were collected from the records of 187 Veterans with heart failur...
متن کاملdetermining factors influencing length of stay and predicting length of stay using data mining in the general surgery department
background: length of stay is one of the most important indicators in assessing hospital performance. a shorter stay can reduce the costs per discharge and shift care from inpatient to less expensive post-acute settings. it can lead to a greater readmission rate, better resource management, and more efficient services. objective: this study aimed to identify the factors influencing length of ho...
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ژورنال
عنوان ژورنال: Age and Ageing
سال: 2008
ISSN: 0002-0729,1468-2834
DOI: 10.1093/ageing/afn286