From: Bridging the gap between basic science and clinical practice: a role for community clinicians
Addressing professional values: | |
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Study questions | Study questions are not pertinent to topics of interest for clinicians, their practice, or their patients. |
Study design feasibility | Study inclusion and exclusion criteria make most community practice patients ineligible. |
Clinician's relationships with clinical/scientific communities | Clinicians need reassurance that research engagement does not threaten the doctor-patient relationship. |
Clinician and patient distrust of research | Equitable access to research opportunities & to care reflecting research findings will help address longstanding mistrust by clinicians and patients for research endeavors. |
Developing necessary infrastructure: | |
Data quality | Assuring data quality in office settings is challenging, particularly given the lack of uniformity of study design across studies. |
Design efficiency | Adequate and efficient training for successful research participation is not readily available or pertinent to clinician practice settings. |
Study costs | Costs and effort associated with transient research engagement are excessive. |
Research training | Local research training efforts are not rigorous enough. |
Assuring privacy | Accessing IRB and HIPAA certification is burdensome and time-consuming. |
Research engagement | Research participation is isolating without systematic feedback about performance, data quality, and research findings. |
Realigning financial incentives: | |
Scheduling | There is no time to do research in a busy practice. |
Reimbursement | Clinical research participation will not be reimbursed adequately. |
Liability | The adequacy of legal liability (insurance?) for research participation for practicing clinicians is murky. |
Predictability | Unpredictable nature of research (sporadic study availability, changes in costs and reimbursement rates). |
Information availability | Information is not readily available (study questions, protocols, reimbursement schedules, study-specific enrollment, data quality). |