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Health-related welfare prioritisation of canine disorders using electronic health records in primary care practice in the UK
BACKGROUND: Evidence-based comparison of the disorder-specific welfare burdens of major canine conditions could better inform targeting of stakeholder resources, to maximise improvement of health-related welfare in UK dogs. Population-level disease related welfare impact offers a quantitative, welfa...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6532203/ https://www.ncbi.nlm.nih.gov/pubmed/31118035 http://dx.doi.org/10.1186/s12917-019-1902-0 |
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author | Summers, Jennifer F. O’Neill, Dan G. Church, David Collins, Lisa Sargan, David Brodbelt, David C. |
author_facet | Summers, Jennifer F. O’Neill, Dan G. Church, David Collins, Lisa Sargan, David Brodbelt, David C. |
author_sort | Summers, Jennifer F. |
collection | PubMed |
description | BACKGROUND: Evidence-based comparison of the disorder-specific welfare burdens of major canine conditions could better inform targeting of stakeholder resources, to maximise improvement of health-related welfare in UK dogs. Population-level disease related welfare impact offers a quantitative, welfare-centred framework for objective disorder prioritisation, but practical applications have been limited to date due to sparse reliable evidence on disorder-specific prevalence, severity and duration across the canine disease spectrum. The VetCompass™ Programme collects de-identified electronic health record data from dogs attending primary-care clinics UK-wide, and is well placed to fill these information gaps. RESULTS: The eight common, breed-related conditions assessed were anal sac disorder, conjunctivitis, dental disease, dermatitis, overweight/obese, lipoma, osteoarthritis and otitis externa. Annual period prevalence estimates (based on confirming 250 cases from total potential cases identified from denominator population of 455, 557 dogs) were highest for dental disorder (9.6%), overweight/obese (5.7%) and anal sac disorder (4.5%). Dental disorder (76% of study year), osteoarthritis (82%), and overweight/obese (70%) had highest annual duration scores. Osteoarthritis (scoring 13/21), otitis externa (11/21) and dermatitis demonstrated (10/21) highest overall severity scores. Dental disorder (2.47/3.00 summative score), osteoarthritis (2.24/3.00) and overweight/obese (1.67/3.00) had highest VetCompass Welfare Impact scores overall. DISCUSSION: Of the eight common, breed-related disorders assessed, dental disorder, osteoarthritis and overweight/obese demonstrated particular welfare impact, based on combinations of high prevalence, duration and severity. Future work could extend this methodology to cover a wider range of disorders. CONCLUSIONS: Dental disorders, osteoarthritis and overweight/obese have emerged as priority areas for health-related welfare improvement in the UK dog population. This study demonstrated applicability of a standardised methodology to assess the relative health-related welfare impact across a range of canine disorders using VetCompass clinical data. |
format | Online Article Text |
id | pubmed-6532203 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65322032019-05-29 Health-related welfare prioritisation of canine disorders using electronic health records in primary care practice in the UK Summers, Jennifer F. O’Neill, Dan G. Church, David Collins, Lisa Sargan, David Brodbelt, David C. BMC Vet Res Research Article BACKGROUND: Evidence-based comparison of the disorder-specific welfare burdens of major canine conditions could better inform targeting of stakeholder resources, to maximise improvement of health-related welfare in UK dogs. Population-level disease related welfare impact offers a quantitative, welfare-centred framework for objective disorder prioritisation, but practical applications have been limited to date due to sparse reliable evidence on disorder-specific prevalence, severity and duration across the canine disease spectrum. The VetCompass™ Programme collects de-identified electronic health record data from dogs attending primary-care clinics UK-wide, and is well placed to fill these information gaps. RESULTS: The eight common, breed-related conditions assessed were anal sac disorder, conjunctivitis, dental disease, dermatitis, overweight/obese, lipoma, osteoarthritis and otitis externa. Annual period prevalence estimates (based on confirming 250 cases from total potential cases identified from denominator population of 455, 557 dogs) were highest for dental disorder (9.6%), overweight/obese (5.7%) and anal sac disorder (4.5%). Dental disorder (76% of study year), osteoarthritis (82%), and overweight/obese (70%) had highest annual duration scores. Osteoarthritis (scoring 13/21), otitis externa (11/21) and dermatitis demonstrated (10/21) highest overall severity scores. Dental disorder (2.47/3.00 summative score), osteoarthritis (2.24/3.00) and overweight/obese (1.67/3.00) had highest VetCompass Welfare Impact scores overall. DISCUSSION: Of the eight common, breed-related disorders assessed, dental disorder, osteoarthritis and overweight/obese demonstrated particular welfare impact, based on combinations of high prevalence, duration and severity. Future work could extend this methodology to cover a wider range of disorders. CONCLUSIONS: Dental disorders, osteoarthritis and overweight/obese have emerged as priority areas for health-related welfare improvement in the UK dog population. This study demonstrated applicability of a standardised methodology to assess the relative health-related welfare impact across a range of canine disorders using VetCompass clinical data. BioMed Central 2019-05-22 /pmc/articles/PMC6532203/ /pubmed/31118035 http://dx.doi.org/10.1186/s12917-019-1902-0 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Summers, Jennifer F. O’Neill, Dan G. Church, David Collins, Lisa Sargan, David Brodbelt, David C. Health-related welfare prioritisation of canine disorders using electronic health records in primary care practice in the UK |
title | Health-related welfare prioritisation of canine disorders using electronic health records in primary care practice in the UK |
title_full | Health-related welfare prioritisation of canine disorders using electronic health records in primary care practice in the UK |
title_fullStr | Health-related welfare prioritisation of canine disorders using electronic health records in primary care practice in the UK |
title_full_unstemmed | Health-related welfare prioritisation of canine disorders using electronic health records in primary care practice in the UK |
title_short | Health-related welfare prioritisation of canine disorders using electronic health records in primary care practice in the UK |
title_sort | health-related welfare prioritisation of canine disorders using electronic health records in primary care practice in the uk |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6532203/ https://www.ncbi.nlm.nih.gov/pubmed/31118035 http://dx.doi.org/10.1186/s12917-019-1902-0 |
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