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. 2014 Nov 26;15:169. doi: 10.1186/s12875-014-0169-6

Table 1.

TIRRE dimensions of research readiness

TIRRE model of research readiness
1 Data readiness (micro level)
This will assess the current state of data held within the practice.
a What data
i. Scope of data recorded
ii. How held (distributed or centralised)
iii. Single or multiple systems
b Interoperability
i. Denominator data, - demographics, - unique identifiers
ii. Coding system
iii. Data quality – metadata Linkages – lab
2 Record system readiness (meso level)
a Type of record architecture – encounter based, problem orientated,
b Data extraction method (e.g. local or central)
c Extract type
d Health-system-wide initiatives for data extraction (e.g. CPRD, GPES)
3 Organisational readiness (macro level)
a Legislative and regulatory compliance readiness
b Health system readiness
i. Organisational structure
ii. Local issues or service configuration that might inform data availability
iii. Other studies which may involve the target patients/subjects of research
c Socio-cultural readiness
i. Types of studies that the data provider finds acceptable/is allowed to participate in
ii. Other factors that might influence local data
iii. Language within records
4 Study readiness
a Quality of relevant data
b Demographic and other data including access to laboratory and imaging res