scholarly journals Analysis of exposure to radon in Bulgarian rehabilitation hospitals

2021 ◽  
Author(s):  
Kremena Ivanova ◽  
Desislava Dzhunakova ◽  
Zdenka Stojanovska ◽  
Jana Djounova ◽  
Bistra Kunovska ◽  
...  
Keyword(s):  
Rehabilitation Hospitals

Age-Related Disparities in the Quality of Stroke Care and Outcomes in Rehabilitation Hospitals: The Australian National Audit

2021 ◽  
Vol 30 (5) ◽  
pp. 105707
Author(s):  
Tara Purvis ◽  
Isobel J Hubbard ◽  
Dominique A Cadilhac ◽  
Kelvin Hill ◽  
Justine Watkins ◽  
...  
Keyword(s):  
Stroke Care ◽  
National Audit ◽  
Age Related ◽  
Rehabilitation Hospitals

scholarly journals User-centered design of a patient’s work station for haptic robot-based telerehabilitation after stroke

2017 ◽  
Vol 3 (1) ◽  
pp. 39-43 ◽  
Author(s):  
Ekaterina Ivanova ◽  
Michael Minge ◽  
Henning Schmidt ◽  
Manfred Thüring ◽  
Jörg Krüger
Keyword(s):  
Hospital Discharge ◽  
Design Process ◽  
Neurological Rehabilitation ◽  
User Centered Design ◽  
Work Station ◽  
Rehabilitation Training ◽  
Robotic Therapy ◽  
Rehabilitation Hospitals ◽  
Early Phases ◽  
User Centered

Abstract:Robotic therapy devices have been an important part of clinical neurological rehabilitation for several years. Until now such devices are only available for patients receiving therapy inside rehabilitation hospitals. Since patients should continue rehabilitation training after hospital discharge at home, intelligent robotic rehab devices could help to achieve this goal. This paper presents therapeutic requirements and early phases of the user-centered design process of the patient’s work station as part of a novel robot-based system for motor telerehabilitation.

scholarly journals Impairments in balance and mobility identify delirium in patients with comorbid dementia

2018 ◽  
Vol 31 (5) ◽  
pp. 749-753 ◽  
Author(s):  
Neus Gual ◽  
Sarah J. Richardson ◽  
Daniel H. J. Davis ◽  
Giuseppe Bellelli ◽  
Wolfgang Hasemann ◽  
...  
Keyword(s):  
Motor Function ◽  
Mini Mental State Examination ◽  
The Elderly ◽  
Motor Dysfunction ◽  
Cross Sectional ◽  
Dsm 5 ◽  
Hierarchical Assessment ◽  
State Examination ◽  
Rehabilitation Hospitals ◽  
Delirium Superimposed On Dementia

ABSTRACTDiagnosing delirium superimposed on dementia (DSD) remains challenging because of a lack of specific tools, though motor dysfunction in delirium has been relatively under-explored. This study aimed to use dysfunction in balance and mobility (with the Hierarchical Assessment of Balance And Mobility: HABAM) to identify DSD. This is a cross-sectional multicenter study, recruiting consecutive patients ≥70 years admitted to five acute or rehabilitation hospitals in Ireland, Italy, Portugal, and Switzerland. Delirium was diagnosed using DSM-5 criteria; dementia was determined by the Mini-Mental State Examination and the Questionnaire of Cognitive Decline in the Elderly. HABAM score was recorded at admission. Out of 114 patients (mean age ± SD = 82 ± 7; 54% female), dementia alone was present in 24.6% (n = 28), delirium alone in 18.4% (n = 21) and DSD in 27.2% (n = 31). Patients with DSD had a mean HABAM score 7 points greater than those with dementia alone (19.8 ± 8.7 vs 12.5 ± 9.5; p < 0.001); 70% of participants with DSD were correctly identified using the HABAM at a cut off of 22 (sensitivity 61%, specificity 79%, AUC = 0.76). Individuals with delirium have worse motor function than those without delirium, even in the context of comorbid dementia. Measuring motor function using the HABAM in older people at admission may help to diagnose DSD.

A solution method for treatment scheduling in rehabilitation hospitals with real-life requirements

2018 ◽  
Vol 30 (4) ◽  
pp. 367-386 ◽  
Author(s):  
Liyang Xiao ◽  
Mahjoub Dridi ◽  
Amir Hajjam El Hassani ◽  
Wanlong Lin ◽  
Hongying Fei
Keyword(s):  
Waiting Time ◽  
Programming Model ◽  
Search Algorithm ◽  
Real Life ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Mixed Integer ◽  
Solution Quality ◽  
Improved Cuckoo Search Algorithm ◽  
Rehabilitation Hospitals

Abstract In this study, we aim to minimize the total waiting time between successive treatments for inpatients in rehabilitation hospitals (departments) during a working day. Firstly, the daily treatment scheduling problem is formulated as a mixed-integer linear programming model, taking into consideration real-life requirements, and is solved by Gurobi, a commercial solver. Then, an improved cuckoo search algorithm is developed to obtain good quality solutions quickly for large-sized problems. Our methods are demonstrated with data collected from a medium-sized rehabilitation hospital in China. The numerical results indicate that the improved cuckoo search algorithm outperforms the real schedules applied in the targeted hospital with regard to the total waiting time of inpatients. Gurobi can construct schedules without waits for all the tested dataset though its efficiency is quite low. Three sets of numerical experiments are executed to compare the improved cuckoo search algorithm with Gurobi in terms of solution quality, effectiveness and capability to solve large instances.

Association of Ownership and System Affiliation with the Financial Performance of Rehabilitation Hospitals

1997 ◽  
Vol 10 (1-2) ◽  
pp. 13-23 ◽  
Author(s):  
M. J. McCue ◽  
J. M. Thompson
Keyword(s):  
Financial Performance ◽  
Regression Models ◽  
Ancillary Services ◽  
Cross Sectional ◽  
Non Profit ◽  
For Profit ◽  
Cross Sectional Design ◽  
The Cost ◽  
Rehabilitation Hospitals ◽  
Inpatient Basis

This study used a cross-sectional design in which regression models were used to test the association of ownership and system affiliation of private rehabilitation hospitals with profit, revenue and expense measures. The study also examined the association of ownership and system affiliation with other choice variables. The study found that new for-profit rehabilitation hospitals had higher revenues and expenses than older non-profit rehabilitation hospitals. In addition, new for-profit hospitals charged more for their ancillary services and treated more of their patients on an inpatient basis. Study findings show higher revenues and expenses per adjusted discharge for new for-profit facilities. Given the cost-based system of reimbursement for Medicare, there appears to be a strong incentive for new for-profits to maximize costs.

Promises and challenges of neurorehabilitation technology

2020 ◽  
pp. 523-528
Author(s):  
Arun Jayaraman ◽  
Sheila Burt ◽  
William Z. Rymer
Keyword(s):  
Wearable Sensors ◽  
Science Research ◽  
Neurological Injury ◽  
Lower Extremity Function ◽  
Training Systems ◽  
Rehabilitation Science ◽  
Robotic Devices ◽  
Near Future ◽  
Rehabilitation Hospitals ◽  
Systematic Collection

An increasing number of technologies are being used in rehabilitation hospitals and clinics to help therapists and physicians improve recovery of upper or lower extremity function in patients who have sustained a severe neurological injury. These technologies include robotic devices such as exoskeletons, electrical stimulation systems, wearable sensors, and virtual reality training systems. While various types of robotic devices will likely continue to be developed for therapeutic purposes at rapid speed as technology improves, there has been limited systematic collection of higher levels of evidence for everyday clinical practice. This chapter examines some of the reasons for the limited collection of evidence thus far, and offers potential reasons why technological approaches have not been more successful in the clinical application of these systems. A brief discussion on some advances in robotics and rehabilitation science research is also presented. Finally, the chapter explores ways in which some of the observed performance limitations can be circumvented, leading potentially to more effective therapies in the near future.

scholarly journals Psychosomatic Inpatient Rehabilitation for People with Depression in Germany

2020 ◽  
Author(s):  
Ralf F. Tauber ◽  
Carola Nisch ◽  
Mutahira M. Qureshi ◽  
Olivia Patsalos ◽  
Hubertus Himmerich
Keyword(s):  
Psychiatric Hospitals ◽  
Inpatient Rehabilitation ◽  
International Classification ◽  
Pension Insurance ◽  
Classification Of Diseases ◽  
Diagnostic Role ◽  
Work Family ◽  
Analysis System ◽  
Rehabilitation Hospitals

In Germany, inpatient therapy for depression mainly takes place in either health insurance-financed psychiatric hospitals, or in pension insurance-financed, psychotherapy-focused, psychosomatic rehabilitation hospitals. In psychiatric hospitals, the diagnosis is made according to the International Classification of Diseases (ICD), and therapeutic attempts are made to achieve remission, whereas in rehabilitation hospitals, the International Classification of Functioning, Disability and Health (ICF) plays an essential diagnostic role. Accordingly, the main German pension insurance, Deutsche Rentenversicherung, has developed a rehabilitation therapy standard for depressive disorders. In this chapter, we focus on the psychotherapeutic inpatient rehabilitation for patients with depression based on an example of a specialized psychotherapeutic hospital. This example illustrates how psychotherapeutic inpatient rehabilitation can be tailored to the individual’s needs and may include any of the following therapeutic modalities: Cognitive Behavior Therapy (CBT), Schema Therapy, Cognitive Behavioral Analysis System of Psychotherapy (CBASP), pharmacotherapy, group therapy for comorbid conditions, skills training, psychoeducation, occupational therapy (OT), movement therapy, physiotherapy, music therapy, social work, family work, and self-help groups. People with depression may benefit from this service model of psychosomatic inpatient rehabilitation beyond symptom remission, as it focuses on increasing people’s functional level as well as their quality of life.

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