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J Healthc Qual Res ; 33(5): 298-304, 2018.
Article in Spanish | MEDLINE | ID: mdl-30401424

ABSTRACT

AIM: To analyse a complete cycle of self-assessment using the European Foundation for Quality Management (EFQM) Model in the hospitals of the Madrid Health Service as regards the fundamental concepts of excellence (FCE). METHOD: Descriptive study of the EFQM self-assessments of the entire public hospital sector identifying the methodology and the information on strengths, weaknesses, evidence, RADAR matrix (Results, Approach, Deployment, Assessment and Review), and the related FCEs in the enabling criteria and in the prioritised action plans. RESULTS: The self-assessment was carried out in 85% of the hospitals (29/34), 86% of them required specific training (25/29), with a total of 329 teaching hours and 833 people in training. Multidisciplinary working groups were required in 83% of the hospitals (24/29), with 123 groups and 857 people involved. There were 3,686 strengths and 3,197 weaknesses identified: strengths and weaknesses were 78% (2,869) and 74% (2,355), respectively, for the enabling criteria and 22% (817) and 26% (842), respectively, for the results criteria. The mean score was 404 points with a median of 399. The main FCEs were managing with agility, developing organisational capability, sustaining outstanding results, creating a sustainable future, succeeding through the talent of people, and adding value for customers, with harnessing creativity/innovation and leading with vision, inspiration and integrity being placed in lower positions. A total of 113 action plans were identified for all the hospitals. CONCLUSION: A complete EFQM self-assessment cycle of the entire public hospital sector of a Regional Health Service is provided, linking the analysis and action plans with the FCE of the EFQM Model.


Subject(s)
Clinical Governance/standards , Hospital Administration/standards , Hospitals, Public/standards , Organizational Innovation , Hospital Administration/methods , Hospitals, Public/statistics & numerical data , Humans , Reference Standards , Spain
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