Pharmacist and Data-Driven Quality Improvement in Primary Care
This research project builds on the DQIP study, and aims to apply the principles of this successful intervention to an expanded range of high-risk prescriptions and implement them in standard care. The project, funded by the Scottish Improvement Science Collaborating Centre (SISCC), has developed a total of 69 indicators that can identify patients at increased risk of 18 adverse drug reactions (ADRs) from primary data in GP practices. Practice pharmacists" employed by the National Health Service support GP practices in carrying out medication analyses for the patients with high-risk prescriptions identified in this way, thus avoiding drug-related hospital admissions. The intervention was initially implemented in approximately 60 practices in North East Scotland (NHS Tayside) and is being evaluated in an Interrupted Time Series Analysis design. Initial results will be available by the end of 2020.
- Tang J, Toma M, Gray NM, Delvaux J, Guthrie B, Grant A, Duncan EM, Dreischulte T. Pharmacist and Data-Driven Quality Improvement in Primary Care (P-DQIP): a qualitative study of anticipated implementation factors informed by the Theoretical Domains Framework. BMJ Open. 2020 Feb 28;10(2):e033574. doi: 10.1136/bmjopen-2019-033574.