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J Prim Health Care ; 6(2): 93-100, 2014 Jun 01.
Artículo en Inglés | MEDLINE | ID: mdl-24892125

RESUMEN

INTRODUCTION: There is increasing concern worldwide at the steady growth in acute inpatient admissions and emergency department (ED) attendances. AIM: To develop measures of variation in acute hospital use between populations enrolled at different general practices that are independent of the sociodemographic characteristics of those populations. METHODS: Two consecutive years of hospital discharge and ED attendance data were combined with primary health organisation (PHO) registers from 385 practices of over 1.5 million people to develop and test two measures of unplanned hospital use: the standardised acute hospital admission ratio (SAAR) and the standardised ED attendance ratio (SEAR). Disease-specific measures were also produced for inpatient events. RESULTS: The enrolled populations of a high proportion of practices had significantly higher or lower than expected acute use of hospitals and this was consistent over both years studied. Practices whose population made unexpectedly high use of acute hospital care for one condition tended to do so for others. Differences in health needs between practice populations as measured by clinical complexity, comorbidities and length of stay did not explain a significant portion of the overall variation in hospital admissions. The enrolled population's average travelling time to a 24-hour ED accounted for some of the practice variation in unplanned utilisation of hospital services. DISCUSSION: This study confirms that there is considerable unexplained practice variation in acute hospital use. Further development of the SAAR and SEAR measures may be possible to use these to identify modifiable practice-level factors associated with high unplanned hospital use.


Asunto(s)
Servicio de Urgencia en Hospital/estadística & datos numéricos , Medicina General , Hospitalización/estadística & datos numéricos , Derivación y Consulta/estadística & datos numéricos , Bases de Datos Factuales , Necesidades y Demandas de Servicios de Salud/estadística & datos numéricos , Costos de Hospital , Humanos , Nueva Zelanda , Alta del Paciente
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