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Aplicación del modelo Balance of Care en la toma de decisiones acerca del mejor cuidado para las personas con demencia

Overview of attention for article published in Gaceta Sanitaria, October 2016
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Title
Aplicación del modelo Balance of Care en la toma de decisiones acerca del mejor cuidado para las personas con demencia
Published in
Gaceta Sanitaria, October 2016
DOI 10.1016/j.gaceta.2016.07.006
Pubmed ID
Authors

Ester Risco, Adelaida Zabalegui, Susana Miguel, Marta Farré, Carme Alvira, Esther Cabrera

Abstract

To describe the implementation of the Balance of Care model in decision-making regarding the best care for patients with dementia in Spain. The Balance of Care model was used, which consists of (1) describing the profile of the typical cases of people with dementia and their caregivers, (2) identifying the most suitable care setting for each of the cases (home-care or long-term care institution), (3) designing specific care plans for each case, and (4) evaluating the cost of the proposed care plans. A total of 1,641 people with dementia and their caregivers from eight European countries were used in the case design. The evaluation of cases was conducted by 20 experts in different medical fields of dementia. In Spain, the results indicated that initially the most suitable placement to take care of people with dementia was the home, however in cases with higher dependency in activities of daily living, the long-term care setting was the best option. For the best care plan, the following resources were chosen: professional help to perform basic activities; day center; multidisciplinary home care team; financial support; community nurse; and social worker. The Balance of Care method allows us to assess the most appropriate place of care for people with dementia systematically, objectively and with a multidisciplinary team. Other cost-effective interventions should be integrated in patients with dementia care in order to improve home care.

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Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 20%
Student > Bachelor 5 11%
Professor 4 9%
Student > Doctoral Student 3 7%
Researcher 3 7%
Other 8 18%
Unknown 12 27%
Readers by discipline Count As %
Nursing and Health Professions 11 25%
Medicine and Dentistry 6 14%
Psychology 3 7%
Engineering 2 5%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 7 16%
Unknown 14 32%