Literature DB >> 16621073

Intra- and inter-observer agreement of a protocol for clinical examination of dairy cows.

Peter T Thomsen1, Niels Peter Baadsgaard.   

Abstract

In 2004,five veterinarians examined 283 dairy cows from four Danish dairy herds and independently assigned scores for the clinical signs lameness, hock lesions and other cutaneous lesions to each cow using a clinical protocol. We evaluated the inter-observer and the intra-observer agreement using prevalence-adjusted, bias-adjusted kappa (PABAK). We chose two different cut-offs between the ordinal scores for classifying cows as healthy or diseased for each of the clinical signs, and we compared the ability of the observers to discriminate between healthy and diseased cows for the two cut-offs. Without any formal training of the observers we found PABAK in the range 0.36-0.88 and we concluded that the choice of cut-off had an effect on the observed agreement among the observers.

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Year:  2006        PMID: 16621073     DOI: 10.1016/j.prevetmed.2006.02.004

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  4 in total

1.  Reliability of an injury scoring system for horses.

Authors:  Cecilie M Mejdell; Grete H M Jørgensen; Therese Rehn; Kjersti Fremstad; Linda Keeling; Knut E Bøe
Journal:  Acta Vet Scand       Date:  2010-12-31       Impact factor: 1.695

2.  An exploratory investigation of geographic disparities of stroke prevalence in Florida using circular and flexible spatial scan statistics.

Authors:  Shamarial Roberson; Rahel Dawit; Jaleesa Moore; Agricola Odoi
Journal:  PLoS One       Date:  2019-08-30       Impact factor: 3.240

3.  Does Thirty-Minute Standardised Training Improve the Inter-Observer Reliability of the Horse Grimace Scale (HGS)? A Case Study.

Authors:  Francesca Dai; Mattew Leach; Amelia Mari MacRae; Michela Minero; Emanuela Dalla Costa
Journal:  Animals (Basel)       Date:  2020-04-30       Impact factor: 2.752

4.  Measuring agreement of administrative data with chart data using prevalence unadjusted and adjusted kappa.

Authors:  Guanmin Chen; Peter Faris; Brenda Hemmelgarn; Robin L Walker; Hude Quan
Journal:  BMC Med Res Methodol       Date:  2009-01-21       Impact factor: 4.615

  4 in total

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