Dealing with minor illnesses: the link between primary care characteristics and First Aid Clinics’ attendancesA

Donatini, Andrea ; Fiorentini, Gianluca ; Lippi Bruni, Matteo ; Mammi, Irene ; Ugolini, Cristina (2014) Dealing with minor illnesses: the link between primary care characteristics and First Aid Clinics’ attendancesA. Bologna: Dipartimento di Scienze economiche DSE, p. 19. DOI 10.6092/unibo/amsacta/3954. In: Quaderni - Working Paper DSE (925). ISSN 2282-6483.
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Abstract

The reformulation of existing boundaries between primary and secondary care, in order to shift selected services traditionally provided by Emergency Departments to community-based alternatives has determined a variety of organisational solutions aimed at reducing the ED overcrowding. One innovative change has been the introduction of fast-track systems for minor injuries or illnesses, whereby community care providers are involved in order to divert patients away from EDs. These facilities offer an open-access service for patients not requiring hospital treatments, and may be staffed by nurses and/or primary care general practitioners operating within, or alongside, the ED. To date little research has been undertaken on such experiences. To fill this gap, we analyse a First-aid clinic (FaC) in the Italian city of Parma, consisting of a minor injury unit located alongside the teaching hospital’s ED. We examine the link between the utilisation rates of the FaC and primary care characteristics, focusing on the main organisational features of the practices and estimating panel count data models for 2007-2010. Our main findings indicate that the younger cohorts are heavy users of the FaC and that the extension of practice opening hours significantly lowers the number of attendances, after controlling for GP’s and practice’s characteristics.

Abstract
Document type
Monograph (Working Paper)
Creators
CreatorsAffiliationORCID
Donatini, Andrea
Fiorentini, Gianluca
Lippi Bruni, Matteo
Mammi, Irene
Ugolini, Cristina
Keywords
Minor illness units, Emergency Departments, avoidable attendance, primary care, panel count data models
Subjects
ISSN
2282-6483
DOI
Deposit date
17 Feb 2014 08:14
Last modified
19 Feb 2014 08:59
URI

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