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Monitoring and Prognosis System Based on the ICF for People with Traumatic Brain Injury.

Subirats L, Lopez-Blazquez R, Ceccaroni L, Gifre M, Miralles F, García-Rudolph A, Tormos JM - Int J Environ Res Public Health (2015)

Bottom Line: The prognosis system achieves 41% of accuracy and sensitivity in the prediction of emotional functions, and 48% of accuracy and sensitivity in the prediction of executive functions.This monitoring and prognosis system has the potential to: (1) save costs and time, (2) provide more information to make decisions, (3) promote interoperability, (4) facilitate joint decision-making, and (5) improve policies of socioeconomic evaluation of the burden of disease.Professionals found the monitoring system useful because it generates a more comprehensive understanding of health oriented to the profile of the patients, instead of their diseases and injuries.

View Article: PubMed Central - PubMed

Affiliation: Health Department, Eurecat, Roc Boronat, 08018 Barcelona, Spain. laia.subirats@eurecat.org.

ABSTRACT
The objective of this research is to provide a standardized platform to monitor and predict indicators of people with traumatic brain injury using the International Classification of Functioning, Disability and Health, and analyze its potential benefits for people with disabilities, health centers and administrations. We developed a platform that allows automatic standardization and automatic graphical representations of indicators of the status of individuals and populations. We used data from 730 people with acquired brain injury performing periodic comprehensive evaluations in the years 2006-2013. Health professionals noted that the use of color-coded graphical representation is useful for quickly diagnose failures, limitations or restrictions in rehabilitation. The prognosis system achieves 41% of accuracy and sensitivity in the prediction of emotional functions, and 48% of accuracy and sensitivity in the prediction of executive functions. This monitoring and prognosis system has the potential to: (1) save costs and time, (2) provide more information to make decisions, (3) promote interoperability, (4) facilitate joint decision-making, and (5) improve policies of socioeconomic evaluation of the burden of disease. Professionals found the monitoring system useful because it generates a more comprehensive understanding of health oriented to the profile of the patients, instead of their diseases and injuries.

No MeSH data available.


Related in: MedlinePlus

Graphical representation of the evolution of a population with TBI through ICF categories.
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ijerph-12-09832-f004: Graphical representation of the evolution of a population with TBI through ICF categories.

Mentions: Figure 3 shows a representation of 32 people with TBI. These graphs show, with different colors, the percentage of the population with a certain value of deficiency of different indicators, in an instant of time. Regarding the evolution of the emotional functions of the person, in Figure 4 an improvement from moderate to severe deficiency is appreciated. This representation allows a comparison between him and the TBI population of 30 people suffering similar problems.


Monitoring and Prognosis System Based on the ICF for People with Traumatic Brain Injury.

Subirats L, Lopez-Blazquez R, Ceccaroni L, Gifre M, Miralles F, García-Rudolph A, Tormos JM - Int J Environ Res Public Health (2015)

Graphical representation of the evolution of a population with TBI through ICF categories.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4555314&req=5

ijerph-12-09832-f004: Graphical representation of the evolution of a population with TBI through ICF categories.
Mentions: Figure 3 shows a representation of 32 people with TBI. These graphs show, with different colors, the percentage of the population with a certain value of deficiency of different indicators, in an instant of time. Regarding the evolution of the emotional functions of the person, in Figure 4 an improvement from moderate to severe deficiency is appreciated. This representation allows a comparison between him and the TBI population of 30 people suffering similar problems.

Bottom Line: The prognosis system achieves 41% of accuracy and sensitivity in the prediction of emotional functions, and 48% of accuracy and sensitivity in the prediction of executive functions.This monitoring and prognosis system has the potential to: (1) save costs and time, (2) provide more information to make decisions, (3) promote interoperability, (4) facilitate joint decision-making, and (5) improve policies of socioeconomic evaluation of the burden of disease.Professionals found the monitoring system useful because it generates a more comprehensive understanding of health oriented to the profile of the patients, instead of their diseases and injuries.

View Article: PubMed Central - PubMed

Affiliation: Health Department, Eurecat, Roc Boronat, 08018 Barcelona, Spain. laia.subirats@eurecat.org.

ABSTRACT
The objective of this research is to provide a standardized platform to monitor and predict indicators of people with traumatic brain injury using the International Classification of Functioning, Disability and Health, and analyze its potential benefits for people with disabilities, health centers and administrations. We developed a platform that allows automatic standardization and automatic graphical representations of indicators of the status of individuals and populations. We used data from 730 people with acquired brain injury performing periodic comprehensive evaluations in the years 2006-2013. Health professionals noted that the use of color-coded graphical representation is useful for quickly diagnose failures, limitations or restrictions in rehabilitation. The prognosis system achieves 41% of accuracy and sensitivity in the prediction of emotional functions, and 48% of accuracy and sensitivity in the prediction of executive functions. This monitoring and prognosis system has the potential to: (1) save costs and time, (2) provide more information to make decisions, (3) promote interoperability, (4) facilitate joint decision-making, and (5) improve policies of socioeconomic evaluation of the burden of disease. Professionals found the monitoring system useful because it generates a more comprehensive understanding of health oriented to the profile of the patients, instead of their diseases and injuries.

No MeSH data available.


Related in: MedlinePlus