Abstract

GOICOECHEA SALAZAR, Juan Antonio et al. Case-Mix of hospital emergencies in the Andalusian Health Service based on the 2012 Minimum Data Set. Spain. Rev. Esp. Salud Publica [online]. 2013, vol.87, n.6, pp.587-600. ISSN 2173-9110.  https://dx.doi.org/10.4321/S1135-57272013000600004.

Background: The implementation of digital health records in emergency departments (ED) in hospitals in the Andalusian Health Service and the development of an automatic encoder for this area have allowed us to establish a Minimum Data Set for Emergencies (MDS-ED). The aim of this article is to describe the case mix of hospital EDs using various dimensions contained in the MDS-ED. Methods: 3.235.600 hospital emergency records in 2012 were classified in clinical categories from the ICD-9-CM codes generated by the automatic encoder. Operating rules to obtain response time and length of stay were defined. A descriptive analysis was carried out to obtain demographic and chronological indicators as well as hospitalization, return and death rates and response time and length of stay in the Eds. Results: Women generated 54,26% of all occurrences and their average age (39,98 years) was higher than men's (37,61). Paediatric emergencies accounted for 21,49% of the total. The peak hours were from 10:00 to 13:00 and from 16:00 to 17:00. Patients who did not undergo observation (92,67%) remained in the ED an average of 153 minutes. Injuries and poisoning, respiratory diseases, musculoskeletal diseases and symptoms and signs generated over 50% of all visits. 79.191 cases of chest pain, 28.741 episodes of heart failure and 27.989 episodes of serious infections were identified among the most relevant disorders. Conclusions: The MDS-ED makes it possible to address systematically the analysis of hospital emergencies by identifying the activity developed, the case-mix attended, the response times, the time spent in ED and the quality of the care.

Keywords : Emergency medical services; Case-mix; Quality indicators; health care; Health information systems; Clinical coding.

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