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Home / Equine Research Bank / Acta Vet Scand / Validation of computerized diagnostic information in a clini...
Acta veterinaria Scandinavica2009; 51(1); 50; doi: 10.1186/1751-0147-51-50

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

Abstract: Computerized diagnostic information offers potential for epidemiological research; however data accuracy must be addressed. The principal aim of this study was to evaluate the completeness and correctness of diagnostic information in a computerized equine clinical database compared to corresponding hand written veterinary clinical records, used as gold standard, and to assess factors related to correctness. Further, the aim was to investigate completeness (epidemiologic sensitivity), correctness (positive predictive value), specificity and prevalence for diagnoses for four body systems and correctness for affected limb information for four joint diseases. Methods: A random sample of 450 visits over the year 2002 (nvisits=49,591) was taken from 18 nation wide clinics headed under one company. Computerized information for the visits selected and copies of the corresponding veterinary clinical records were retrieved. Completeness and correctness were determined using semi-subjective criteria. Logistic regression was used to examine factors associated with correctness for diagnosis. Results: Three hundred and ninety six visits had veterinary clinical notes that were retrievable. The overall completeness and correctness were 91% and 92%, respectively; both values considered high. Descriptive analyses showed significantly higher degree of correctness for first visits compared to follow up visits and for cases with a diagnostic code recorded in the veterinary records compared to those with no code noted. The correctness was similar regardless of usage category (leisure/sport horse, racing trotter and racing thoroughbred) or gender.For the four body systems selected (joints, skin and hooves, respiratory, skeletal) the completeness varied between 71% (respiration) and 91% (joints) and the correctness ranged from 87% (skin and hooves) to 96% (respiration), whereas the specificity was >95% for all systems. Logistic regression showed that correctness was associated with type of visit, whether an explicit diagnostic code was present in the veterinary clinical record, and body system. Correctness for information on affected limb was 95% and varied with joint. Conclusions: Based on the overall high level of correctness and completeness the database was considered useful for research purposes. For the body systems investigated the highest level of completeness and correctness was seen for joints and respiration, respectively.
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Publication Date: 2009-12-10 PubMed ID: 20003256PubMed Central: PMC2801496DOI: 10.1186/1751-0147-51-50Google Scholar: Lookup
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Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

This study is focused on assessing the accuracy and completeness of diagnostic information in a computerized database for equine clinical data, comparing it with handwritten veterinary records. The findings indicate a high degree of completeness and correctness in the digital database, marking it as a valuable resource for research purposes.

Approach and Methods

  • The researchers selected a random sample of 450 visits from 18 nationwide clinics that occurred in 2002. They then compared the digital data for these visits with the handwritten veterinary records to determine accuracy and completeness.
  • Using semi-subjective criteria, completeness and correctness were measured and compared.
  • The study investigated completeness (epidemiologic sensitivity), correctness (positive predictive value), specificity and prevalence for diagnoses relating to four body systems: joints, skin and hooves, respiratory, and skeletal systems.
  • The researchers also checked the correctness of data relating to the affected limb information for four joint diseases.
  • A logistic regression model was used to study factors associated with the accuracy of the diagnoses.

Results

  • The study found that the overall accuracy and completeness of the electronic data were 92% and 91% respectively, considered quite high.
  • First visit data were more accurate when compared to follow-up visits and cases where a diagnostic code was recorded in the veterinary records.
  • The correctness of data didn’t vary based on the category of use (leisure/sport horse, racing trotter, and racing thoroughbred) or the gender of the horse.
  • Among the selected body systems, completeness varied between 71% (respiration) and 91% (joints), and correctness ranged from 87% (skin and hooves) to 96% (respiration).
  • Specificity was greater than 95% for all systems.
  • The study’s logistic regression showed that correctness was connected to the type of visit, the presence of an explicit diagnostic code in the veterinary clinical record, and the body system.
  • The correctness for information on the affected limb was at 95% and varied with the joint.

Conclusions

  • Considering the high degree of accuracy and completeness, the researchers concluded that the digital database was useful for research purposes.
  • Among the body systems investigated, the highest level of completeness was seen for joints, and the highest level of correctness was noticed for respiration.

Cite This Article

APA
Penell JC, Bonnett BN, Pringle J, Egenvall A. (2009). Validation of computerized diagnostic information in a clinical database from a national equine clinic network. Acta Vet Scand, 51(1), 50. https://doi.org/10.1186/1751-0147-51-50

Publication

Acta veterinaria Scandinavica
ISSN: 1751-0147
NlmUniqueID: 0370400
Country: England
Language: English
Volume: 51
Issue: 1
Pages: 50

Researcher Affiliations

Penell, Johanna C
  • Department of Clinical Sciences, Faculty of Veterinary Medicine and Animal Science, Swedish University of Agricultural Sciences, PO Box 7054, SE-750 07 Uppsala, Sweden. Johanna.Penell@kv.slu.se
Bonnett, Brenda N
    Pringle, John
      Egenvall, Agneta

        MeSH Terms

        • Animals
        • Databases, Factual / standards
        • Diagnosis, Computer-Assisted / standards
        • Diagnosis, Computer-Assisted / veterinary
        • Female
        • Horse Diseases / diagnosis
        • Horses
        • Logistic Models
        • Male
        • Reproducibility of Results
        • Sensitivity and Specificity
        • Sweden

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        Citations

        This article has been cited 1 times.
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