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

Defining dimensions of research readiness: a conceptual model for primary care research networks

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Defining dimensions of research readiness: a conceptual model for primary care research networks

Helen Carr et al. BMC Fam Pract. .

Abstract

Background: Recruitment to research studies in primary care is challenging despite widespread implementation of electronic patient record (EPR) systems which potentially make it easier to identify eligible cases.

Methods: Literature review and applying the learning from a European research readiness assessment tool, the TRANSFoRm International Research Readiness instrument (TIRRE), to the context of the English NHS in order to develop a model to assess a practice's research readiness.

Results: Seven dimensions of research readiness were identified: (1) Data readiness: Is there good data quality in EPR systems; (2) Record readiness: Are EPR data able to identify eligible cases and other study data; (3) Organisational readiness: Are the health system and socio-cultural environment supportive; (4) Governance readiness: Does the study meet legal and local health system regulatory compliance; (5) Study-specific readiness; (6) Business process readiness: Are business processes tilted in favour of participation: including capacity and capability to take on extra work, financial incentives as well as intangibles such as social and intellectual capital; (7) Patient readiness: Are systems in place to recruit patients and obtain informed consent?

Conclusions: The model might enable the development of interventions to increase participation in primary care-based research and become a tool to measure the progress of practice networks towards the most advanced state of readiness.

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Figures

Figure 1
Figure 1
Literature search results.
Figure 2
Figure 2
Dimensions of research readiness. Bold arrow – TIRRE model, shaded arrow extended model.

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