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

BMC Family Practice

Research Article

Amanda Terry¹  Helen Carr²  Harshana Liyanage²  Simon de Lusignan²  Imran Rafi³  Siaw-Teng Liaw⁴ 

[1] Centre for Studies in Family Medicine, The Western Centre for Public Health and Family Medicine, 2nd Floor, Schulich School of Medicine & Dentistry, Western University, 1151 Richmond St, N6A 5C1, London, ON, Canada;Department of Health Care Management and Policy, Clinical Informatics and Health Outcomes Research Group, University of Surrey, Guildford, UK;Royal College of General Practitioners, 30 Euston Square, NW1 2FB, London, England;School of Public Health & Community Medicine, UNSW Medicine Australia, 2052, Sydney, New South Wales, Australia;

关键词: General practice;    Research;    Medical records systems, computerised;    Data collection;    Patient selection;   

DOI  :  10.1186/s12875-014-0169-6

 received in 2014-03-03, accepted in 2014-10-06,  发布年份 2014

来源: Springer

【 摘 要 】

BackgroundRecruitment 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.MethodsLiterature 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.ResultsSeven 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?ConclusionsThe 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.

【 授权许可】

CC BY   
© Carr et al.; licensee BioMed Central Ltd. 2014