Defining dimensions of research readiness: a conceptual model for primary care research networks
<p><strong>Background: </strong>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.</p> <p><strong>Methods...
| Main Authors: | , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
BioMed Central
2014
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| _version_ | 1811140362590224384 |
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| author | Carr, H de Lusignan, S Liyanage, H Liaw, S-T Terry, A Rafi, I |
| author_facet | Carr, H de Lusignan, S Liyanage, H Liaw, S-T Terry, A Rafi, I |
| author_sort | Carr, H |
| collection | OXFORD |
| description | <p><strong>Background: </strong>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.</p>
<p><strong>Methods: </strong>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.</p>
<p><strong>Results: </strong>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?</p>
<p><strong>Conclusions: </strong>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.</p> |
| first_indexed | 2024-09-25T04:20:47Z |
| format | Journal article |
| id | oxford-uuid:98beeba6-9069-448a-ad22-7a99855dde12 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-09-25T04:20:47Z |
| publishDate | 2014 |
| publisher | BioMed Central |
| record_format | dspace |
| spelling | oxford-uuid:98beeba6-9069-448a-ad22-7a99855dde122024-08-02T16:11:48ZDefining dimensions of research readiness: a conceptual model for primary care research networksJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:98beeba6-9069-448a-ad22-7a99855dde12EnglishSymplectic ElementsBioMed Central2014Carr, Hde Lusignan, SLiyanage, HLiaw, S-TTerry, ARafi, I<p><strong>Background: </strong>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.</p> <p><strong>Methods: </strong>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.</p> <p><strong>Results: </strong>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?</p> <p><strong>Conclusions: </strong>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.</p> |
| spellingShingle | Carr, H de Lusignan, S Liyanage, H Liaw, S-T Terry, A Rafi, I Defining dimensions of research readiness: a conceptual model for primary care research networks |
| title | Defining dimensions of research readiness: a conceptual model for primary care research networks |
| title_full | Defining dimensions of research readiness: a conceptual model for primary care research networks |
| title_fullStr | Defining dimensions of research readiness: a conceptual model for primary care research networks |
| title_full_unstemmed | Defining dimensions of research readiness: a conceptual model for primary care research networks |
| title_short | Defining dimensions of research readiness: a conceptual model for primary care research networks |
| title_sort | defining dimensions of research readiness a conceptual model for primary care research networks |
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