Literature DB >> 16215244

Morbidity of Swedish horses insured for veterinary care between 1997 and 2000: variations with age, sex, breed and location.

A Egenvall1, J C Penell, B N Bonnett, P Olson, J Pringle.   

Abstract

The aim of this study was to evaluate the potential usefulness of the database maintained by the Swedish insurance company Agria for providing disease statistics on Swedish horses. The demography of the horses insured for veterinary care during the period 1997 to 2000 was recorded and the incidence of morbidity, defined as horses that required veterinary care that cost more than the policy excess, was calculated. Yearly incidences were calculated for horses that required veterinary care at least once, first overall, and then for horses with complete insurance, by sex, age, breed group, breed, location and human population density. Poisson regression was applied to a multivariable model to produce estimates of relative risk adjusted for other factors in the model, such as age. The total number of horse-years at risk for those with complete insurance was over 72,000 each year. The annual incidence rate for horses that required veterinary care at least once varied from 1080 to 1190 events per 10,000 horse-years at risk; for geldings the averaged incidence rate was 1398 events, for mares it was 1042 events, and for stallions it was 780 events per 10,000 horse-years at risk. There were considerable variations in incidence rate between breeds.

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Year:  2005        PMID: 16215244     DOI: 10.1136/vr.157.15.436

Source DB:  PubMed          Journal:  Vet Rec        ISSN: 0042-4900            Impact factor:   2.695


  4 in total

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Authors:  Kate E Creevy; Steven N Austad; Jessica M Hoffman; Dan G O'Neill; Daniel E L Promislow
Journal:  Cold Spring Harb Perspect Med       Date:  2016-01-04       Impact factor: 6.915

Review 2.  Insurance data for research in companion animals: benefits and limitations.

Authors:  Agneta Egenvall; Ane Nødtvedt; Johanna Penell; Lotta Gunnarsson; Brenda N Bonnett
Journal:  Acta Vet Scand       Date:  2009-10-29       Impact factor: 1.695

3.  Validation of computerized diagnostic information in a clinical database from a national equine clinic network.

Authors:  Johanna C Penell; Brenda N Bonnett; John Pringle; Agneta Egenvall
Journal:  Acta Vet Scand       Date:  2009-12-10       Impact factor: 1.695

4.  Radiographic parameters for diagnosing sand colic in horses.

Authors:  Anna Kendall; Charles Ley; Agneta Egenvall; Johan Bröjer
Journal:  Acta Vet Scand       Date:  2008-06-13       Impact factor: 1.695

  4 in total

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