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Animals : an open access journal from MDPI2022; 12(21); 3028; doi: 10.3390/ani12213028

Race-Level Reporting of Incidents Using an Online System during Three Seasons (2019/2020-2021/2022) of Thoroughbred Flat Racing in New Zealand.

Abstract: In the 2019/20 Thoroughbred racing season, the paper-based reporting process of stipendiary steward reports was upgraded to an online system ('Infohorse database') to allow for the rapid entry of precise event and injury data. The objectives of this study were to describe the incident and non-incident examinations during the 2019/20, 2020/21, and 2021/22 Thoroughbred flat racing seasons in New Zealand and describe the primary injury and reporting outcomes. The introduction of the online system was associated with fewer miscoding events with horse identification (0.1%). An improvement in the definition and prompts in reporting within the online system compared with the previous paper-based system resulted in a greater frequency of non-incident examinations being undertaken. The increased frequency of reporting the clinical outcome, 'no observable abnormalities detected' (NOAD), demonstrates the role of stipendiary stewards to carry out routine screening. The frequency of most clinical findings, such as musculoskeletal fractures (0.5 per 1000 starts, 95% CI = 0.3-0.6), remained similar compared to previously reported data using the paper-based system. The online system provided a more structured dataset compared with the paper-based system, making it a useful tool for the monitoring of incidents, injuries, and potential risk factors within Thoroughbred racing in New Zealand. Therefore, evidence-based changes to the management and structure of racing can be undertaken to ensure the industry meets its duty of care for racehorse and jockey welfare.
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Publication Date: 2022-11-03 PubMed ID: 36359152PubMed Central: PMC9658589DOI: 10.3390/ani12213028Google Scholar: Lookup
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  • Journal Article

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.

The research discusses the transition from a paper-based to online data collection method (‘Infohorse database’) in New Zealand’s Thoroughbred flat racing industry. This new system offered more structured datasets, decreased horse identification errors, and led to more frequent non-incident examinations, thereby promising a thorough overview for monitoring potential risk factors, incidents, and injuries.

Research Objectives

  • The primary objectives of the study were twofold. Firstly, it aimed to detail the incidents and non-incident examinations during the three Thoroughbred flat racing seasons (2019/20, 2020/21, 2021/22) in New Zealand. Secondly, the study sought to describe the primary injuries and reporting outcomes derived from these examinations.
  • Another significant part of the study was to evaluate the impact of shifting from a paper-based logging system to an online one.

Research Findings

  • The introduction of an online reporting system significantly reduced the number of horse identification errors to a mere 0.1%.
  • Compared to the previous paper-based system, the online system led to more non-incident examinations. This was a result of the clarity and assistance offered by the online system in the context of reporting.
  • The system’s role in routine screening was reinforced with the increased reporting of ‘No Observable Abnormalities Detected’ (NOAD) scores.
  • Regarding clinical findings like musculoskeletal fractures, the frequency remained relatively consistent with prior reports from the traditional paper-based method (0.5 per 1000 starts).

Significance of the Findings

  • The online system (‘Infohorse database’) provided a more structured and easy-to-navigate dataset when compared to the paper-based method, offering a valuable tool for monitoring risks, injuries, and incidents in New Zealand’s Thoroughbred racing.
  • Through enhanced monitoring and data reporting, this research contributes to evidence-based updates to the management and organization of races, supporting the welfare of both the racehorses and jockeys.

Cite This Article

APA
Gibson MJ, Legg KA, Gee EK, Rogers CW. (2022). Race-Level Reporting of Incidents Using an Online System during Three Seasons (2019/2020-2021/2022) of Thoroughbred Flat Racing in New Zealand. Animals (Basel), 12(21), 3028. https://doi.org/10.3390/ani12213028

Publication

Animals : an open access journal from MDPI
ISSN: 2076-2615
NlmUniqueID: 101635614
Country: Switzerland
Language: English
Volume: 12
Issue: 21
PII: 3028

Researcher Affiliations

Gibson, Michaela J
  • School of Veterinary Sciences, Massey University, Private Bag 11-222, Palmerston North 4442, New Zealand.
Legg, Kylie A
  • School of Veterinary Sciences, Massey University, Private Bag 11-222, Palmerston North 4442, New Zealand.
Gee, Erica K
  • School of Veterinary Sciences, Massey University, Private Bag 11-222, Palmerston North 4442, New Zealand.
Rogers, Chris W
  • School of Veterinary Sciences, Massey University, Private Bag 11-222, Palmerston North 4442, New Zealand.
  • School of Agriculture and Environment, Massey University, Private Bag 11-222, Palmerston North 4442, New Zealand.

Grant Funding

  • 9/2017 / The New Zealand Equine Trust

Conflict of Interest Statement

The authors declare no real or perceived conflict of interest.

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Citations

This article has been cited 1 times.
  1. Gibson MJ, Legg KA, Gee EK, Rogers CW. The Reporting of Racehorse Fatalities in New Zealand Thoroughbred Flat Racing in the 2011/12-2021/22 Seasons. Animals (Basel) 2023 Feb 9;13(4).
    doi: 10.3390/ani13040612pubmed: 36830402google scholar: lookup
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