Literature DB >> 15510250

Cartography of emergency department visits for asthma - targeting high-morbidity populations.

Pierre Lajoie1, Andrée Laberge, Germain Lebel, Louis-Philippe Boulet, Marie Demers, Pierre Mercier, Marie-France Gagnon.   

Abstract

BACKGROUND: Asthma education should be offered with priority to populations with the highest asthma-related morbidity. In the present study, the aim was to identify populations with high-morbidity for asthma from the Quebec Health Insurance Board Registry, a large administrative database, to help the Quebec Asthma and Chronic Obstructive Pulmonary Disease Network target its interventions.
METHODS: All emergency department (ED) visits for asthma were analyzed over a one-year period, considering individual and medical variables. Age- and sex-adjusted rates, as well as standardized rate ratios related to the overall Quebec rate, among persons zero to four years of age and five to 44 years of age were determined for 15 regions and 163 areas served by Centres Locaux de Services Communautaires (CLSC). The areas with rates 50% to 300% higher (P<0.01) than the provincial rate were defined as high-morbidity areas. Maps of all CLSC areas were generated for the above parameters.
RESULTS: There were 102,551 ED visits recorded for asthma, of which more than 40% were revisits. Twenty-one CLSCs and 32 CLSCs were high-morbidity areas for the zero to four years age group and five to 44 years age group, respectively. For the most part, the high-morbidity areas were located in the south-central region of Quebec. Only 47% of asthmatic patients seen in ED had also seen a physician in ambulatory care.
CONCLUSION: The data suggest that a significant portion of the population seeking care at the ED is undiagnosed and undertreated. A map of high-morbidity areas that could help target interventions to improve asthma care and outcomes is proposed.

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Year:  2004        PMID: 15510250     DOI: 10.1155/2004/607625

Source DB:  PubMed          Journal:  Can Respir J        ISSN: 1198-2241            Impact factor:   2.409


  6 in total

1.  Paper stamp checklist tool enhances asthma guidelines knowledge and implementation by primary care physicians.

Authors:  P M Renzi; H Ghezzo; S Goulet; E Dorval; R L Thivierge
Journal:  Can Respir J       Date:  2006 May-Jun       Impact factor: 2.409

2.  Can access to spirometry in asthma education centres influence the referral rate by primary physicians for education?

Authors:  M Labrecque; M Lavallée; M F Beauchesne; A Cartier; L P Boulet
Journal:  Can Respir J       Date:  2006 Nov-Dec       Impact factor: 2.409

Review 3.  Towards Excellence in Asthma Management: final report of an eight-year program aimed at reducing care gaps in asthma management in Quebec.

Authors:  Louis-Philippe Boulet; E Dorval; M Labrecque; M Turgeon; T Montague; R L Thivierge
Journal:  Can Respir J       Date:  2008-09       Impact factor: 2.409

4.  Improving knowledge transfer on chronic respiratory diseases: a Canadian perspective. How to translate recent advances in respiratory diseases into day-to-day care.

Authors:  L-P Boulet
Journal:  J Nutr Health Aging       Date:  2008-12       Impact factor: 4.075

5.  Implementing practice guidelines: a workshop on guidelines dissemination and implementation with a focus on asthma and COPD.

Authors:  Louis-Philippe Boulet; Allan Becker; Dennis Bowie; Paul Hernandez; Andrew McIvor; Michel Rouleau; Jean Bourbeau; Ian D Graham; Jo Logan; France Légaré; Thomas F Ward; Robert L Cowie; Denis Drouin; Stewart B Harris; Robyn Tamblyn; Pierre Ernst; Wan C Tan; Martyn R Partridge; Philippe Godard; Carla T Herrerias; John W Wilson; Liz Stirling; Emily-Brynn Rozitis; Nancy Garvey; Diane Lougheed; Manon Labrecque; Renata Rea; Martin C Holroyde; Danielle Fagnan; Eileen Dorval; Lisa Pogany; Alan Kaplan; Lisa Cicutto; Mary L Allen; Serge Moraca; J Mark FitzGerald; Francine Borduas
Journal:  Can Respir J       Date:  2006-03       Impact factor: 2.409

6.  Exploration of the spatial patterns and determinants of asthma prevalence and health services use in Ontario using a Bayesian approach.

Authors:  Alexandra M Ouédraogo; Eric J Crighton; Michael Sawada; Teresa To; Kevin Brand; Eric Lavigne
Journal:  PLoS One       Date:  2018-12-10       Impact factor: 3.240

  6 in total

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