Literature DB >> 18070264

Improving the organization of consultation departments in university hospitals.

Agnès Dechartres1, Valérie Mazeau, Catherine Grenier-Sennelier, Antoine P Brézin, Gwenaelle M Vidal-Trecan.   

Abstract

RATIONALE: Changes in the demography of doctors require changes in care practices.
OBJECTIVES: The aim of this study was to identify factors associated with doctors' workload in the ophthalmology consultation department of a university hospital, with a view to developing methods to improve the organization of hospital outpatient clinics.
METHODS: A 10-day cross-sectional survey was carried out in an ophthalmology outpatient clinic (in- and outpatient consultations, including emergencies) specializing in the uveitis care. Demographic and management data for each patient were collected on a structured form. The doctor's workload was assessed, using a scale taking into account the duration of the consultation and the number of diagnostic tests performed, as a function of management complexity.
RESULTS: Of the 861 consultations studied, 39.7% were highly complex. The level of complexity of consultations was correlated with the type of referral (phi = 0.602), consultation duration (phi = 0.545), the number of consultations in the previous year (phi = 0.499), and the number of diagnostic tests performed (phi = 0.445). Consultations were longer and diagnostic tests were more frequently performed if patients had been referred by an ophthalmologist, consulted a faculty doctor or a fellow, or presented with uveitis. Consultations were also more complex for patients with at least four previous consultations in the past year.
CONCLUSIONS: Type of referral, status of the attending doctor and number of consultations within the course of 1 year were associated with doctors' workload and could be taken into account to predict the duration of complexity of consultations when scheduling appointments.

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Year:  2007        PMID: 18070264     DOI: 10.1111/j.1365-2753.2006.00785.x

Source DB:  PubMed          Journal:  J Eval Clin Pract        ISSN: 1356-1294            Impact factor:   2.431


  2 in total

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Authors:  Matthias Helbig; Silke Helbig; Heike A Kahla-Witzsch; Angelika May
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  2 in total

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