Department: Pathobiology and Population Sciences

Campus: Hawkshead

Research Centres: Veterinary Epidemiology, Economics and Public Health

Camilla is a Companion Animal Epidemiologist, working within the VetCompass Programme . Her aim is to utilise primary-care data to provide a reliable evidence base to support improved welfare in companion animal species. 

Camilla obtained a Bachelor of Veterinary Medicine from The Royal Veterinary College in 2015 and worked in first opinion small animal practice upon graduating. She developed an interest in research whilst an undergraduate and returned to The Royal Veterinary College in 2017 to complete a Master of Research degree in Companion Animal Epidemiology within the VetCompassTM team. Specifically, she studied the associations between neutering and urinary incontinence in bitches under primary veterinary care in the UK, which is a hotly discussed topic amongst veterinarians.

Following this, Camilla has now taken on the Kennel Club Charitable Trust (KCCT) funded project within VetCompassTM called "Evidence-based prioritisation of disorders using epidemiological data on dog breeds from VetCompass primary-care veterinary clinical records". The aim is to expand the evidence-base for breed related conditions and identify breed health related priorities in order to improve canine health and welfare.

Camilla's research is based on primary-care veterinary clinical data collected via the VetCompass Programme. During her Masters her focus was on exploring the associations between neutering and urinary incontinence in bitches. Following this, Camilla is working closely with Dr Dan O'Neill and Professor Dave Brodbelt to improve understanding of the role of breed in relation to disorder prevalence and severity. 

  • BVetMed RP2 Research Projects

    People: Dan O'Neill, David Brodbelt, Camilla Pegram

    Vet Compass Project Type: Dog, Cat, Small Mammal, Exotic

    All BVetMed veterinary undergraduates at the RVC are required to complete a formal piece of research (named Research Project 2 “RP2”) as part of their route towards gaining a veterinary degree. This project is a Level 7 body of work that is at the level of a master’s project. VetCompass supports students to undertake these RP2 projects at the RVC. The Kennel Club Charitable Trust has supported several VetCompass RP2s annually on topics related to canine health.

  • Earlier Onset Urinary Incontinence in the Bitch and its Association with Neutering

    Funded by BSAVA PetSavers, this project aims to evaluate major risk factors for development of urinary incontinence in bitches. In particular, it will explore the association between neutering and age at time of neutering with onset of early incontinence.

    The project will provide relevant and reliable evidence that can support a more universal approach from veterinary surgeons and provide advice to dog owners regarding neutering.

  • Evidence-based prioritisation of disorders within dog breeds

    People: Camilla Pegram, Dan O'Neill, David Brodbelt

    Vet Compass Project Type: Dog

    The Kennel Club Charitable Trust (KCCT) has funded a 1-year project within VetCompass™ called ‘Evidence-based prioritisation of disorders using epidemiological data on dog breeds from VetCompass primary-care veterinary clinical records’. Camilla Pegram has taken up the role of VetCompass epidemiologist, working alongside Dr Dan O'Neill and Dr Dave Brodbelt, to explore studies on breed health and to assist in VetCompass™ development.

  • Vet Compass Project

    VetCompass is a welfare-focussed epidemiological research project that shares anonymised clinical data from veterinary practices to investigate the frequency and nature of companion animal health problems.

    Modern veterinary medicine has access to increasingly effective tools for diagnosis and treatment; yet many animals still continue to suffer from disorders that might be reduced or avoided if risks were better understood and measured. 

  • VetCompass eClinical Trials (VETs) – Generating Interventional Evidence from Observational Data

    The study aims to develop innovative statistical approaches to veterinary electronic patient records to evaluate the effectiveness of clinical interventions in dogs.

    This project aims to develop and apply novel causal inference methods that evaluate real world interventions via routinely collected veterinary EPRs. These methods will be applied to VetCompass data to provide real world inference for some key interventions.

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