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Table 3 Advantages and limitations to data sources used for health surveillance in dogs

From: Approaches to canine health surveillance

Data source

Advantages

Limitations

Applications

Pet insurance databases

Large size

Difficult to validate

Agria Pet Insurance data analysis in Sweden [15]

Defined denominator

Questionable representativeness of the general population

Pet Protect insurance data analysis in UK [58, 69]

High reliability for breed and sex

Loss of data on low-cost or excluded disorders

Coded diagnoses

Referral practice clinical records

Good diagnostic reliability?

Referral bias

Veterinary Medical Data Base (VMDB) [75]

Coded diagnoses?

Poorly defined denominator

Large databases

Poorly representative

Primary-care practice clinical records

Large databases

Diagnostic reliability?

Banfield Pet Hospital [104]

Highly representative?

Technical complexities

NCAS [5]

Coded diagnoses

Only events with veterinary care

NCASP [116]

Defined denominator

VetCompass [47]

Generalisability

SAVSNET [129]

CEVM [130]

Veterinary cancer registries

Human registries common

Referral bias

Veterinary Medical Data Base (VMDB) [75]

Good diagnostic reliability

Poorly defined denominator

Danish Veterinary Cancer Registry [137].

Poorly representative

Questionnaire-based data collection

Relatively inexpensive

Response rate

The KC/BSAVA UK health survey of purebred dogs [148].

Flexible

Difficult to validate

Can nest within other study designs

Loss of information on temporality

Canine health schemes

Large databases

Poorly representative

BVA/KC hip dysplasia and elbow dysplasia scheme [194]

Diagnostic reliability

Selection bias

BVA/KC elbow dysplasia scheme [195]

Linkage to KC pedigree data

The BVA/KC/ISDS eye scheme [172].

Permanent animal identification

Other companion animal surveillance systems in the UK

Relatively inexpensive

Under-reporting

SARSS [176]

Poorly defined denominator

 

Selection bias

DACTARI [186]

Poor generalisability

CICADA [189]