Evidence map›Paper›PMID 28066777›Full record

ArticleFrontiers in veterinary science2016

Evidence in Practice - A Pilot Study Leveraging Companion Animal and Equine Health Data from Primary Care Veterinary Clinics in New Zealand.

Petra Muellner, Ulrich Muellner, M Carolyn Gates, Trish Pearce, Christina Ahlstrom, Dan O'Neill, Dave Brodbelt, Nick John Cave

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Petra MuellnerEpi-interactive Ltd. , Wellington , New Zealand.
Ulrich MuellnerEpi-interactive Ltd. , Wellington , New Zealand.
M Carolyn GatesInstitute of Veterinary, Animal and Biomedical Sciences, Massey University , Palmerston North , New Zealand.
Trish PearceEquine Health Association , Wellington , New Zealand.
Christina AhlstromEpi-interactive Ltd. , Wellington , New Zealand.
Dan O'NeillThe Royal Veterinary College , Hatfield , UK.
Dave BrodbeltThe Royal Veterinary College , Hatfield , UK.
Nick John CaveInstitute of Veterinary, Animal and Biomedical Sciences, Massey University , Palmerston North , New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Veterinary practitioners have extensive knowledge of animal health from their day-to-day observations of clinical patients. There have been several recent initiatives to capture these data from electronic medical records for use in national surveillance systems and clinical research. In response, an approach to surveillance has been evolving that leverages existing computerized veterinary practice management systems to capture animal health data recorded by veterinarians. Work in the United Kingdom within the VetCompass program utilizes routinely recorded clinical data with the addition of further standardized fields. The current study describes a prototype system that was developed based on this approach. In a 4-week pilot study in New Zealand, clinical data on presentation reasons and diagnoses from a total of 344 patient consults were extracted from two veterinary clinics into a dedicated database and analyzed at the population level. New Zealand companion animal and equine veterinary practitioners were engaged to test the feasibility of this national practice-based health information and data system. Strategies to ensure continued engagement and submission of quality data by participating veterinarians were identified, as were important considerations for transitioning the pilot program to a sustainable large-scale and multi-species surveillance system that has the capacity to securely manage big data. The results further emphasized the need for a high degree of usability and smart interface design to make such a system work effectively in practice. The geospatial integration of data from multiple clinical practices into a common operating picture can be used to establish the baseline incidence of disease in New Zealand companion animal and equine populations, detect unusual trends that may indicate an emerging disease threat or welfare issue, improve the management of endemic and exotic infectious diseases, and support research activities. This pilot project is an important step toward developing a national surveillance system for companion animals and equines that moves beyond emerging infectious disease detection to provide important animal health information that can be used by a wide range of stakeholder groups, including participating veterinary practices.

Indexed as

companion animalearly warningequineinterface designITprimary caresurveillanceveterinary

Identifiers

PMID28066777
PMCPMC5179563

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.