1
|
Data
|
Coded data that identifies: |
Pay-for-performance (P4P) has improved (but also distorted) data quality |
Active engagement in data quality (of cases & likely controls) |
Denominator |
Cases (& controls) |
Inclusion & exclusion criteria |
2
|
Records
|
Data are extractable |
Networks that extract data (research databases) |
Validation of extracts is required: these can have errors and be inconsistent. |
One-off (MIQUEST) extraction |
Practice searches (EPR vendor search tool) |
3
|
Organisational
|
Health system readiness |
Legislation (Health & Social Care Act 2012) |
Engagement with local primary care structures (Health service localities; Medical primary care societies etc.) |
Socio-cultural |
Government/Health ministry promotion of bioscience research |
Incentive schemes for practices |
4
|
Governance
|
Research governance (RG) |
RG emphasis of existing scheme |
Educational programme |
Good Clinical Practice (for trials) |
Information governance |
Some confusion about “Opt out” |
Practice has legal responsibility as the Data Controller in the UK (Data Protection Act) |
New national guidance about personal data is required. |
5
|
Study
|
Impossible to cover all eventualities |
Data quality for the specific study |
Responsive support, direct data collection from patients may be possible |
Demographic data |
6
|
Business
|
Tipped in favour or participation |
Mechanism for funding research (e.g. some practices reluctant to carry out studies sponsored by pharmaceutical industry) |
Standard payments |
Use quality improvement studies to promote research-relevant activities |
Level of funding and whether provides sufficient incentive to participants |
Develop intangible resources |
(social/relationship capital) |
Feasibility of study being incorporated into existing workload |
Any risk/perceived risk (e.g. new drug) |
7
|
Patient
|
Information consent |
Individual expectation to participate in research/“pre-consent” models |
Learn how to take consent |
Develop intangible resources (relationships with practices) |
Volunteer patient cohorts |
Single disease (e.g. diabetes), where there may be an associated primary care clinic |
Patient-practice culture & ethos about participating in research |
Track record – previous experience of delivering projects - type, clinical domain, number of cases |