Process evaluation of the Data-driven Quality Improvement in Primary Care (DQIP) trial: case study evaluation of adoption and maintenance of a complex intervention to reduce high-risk primary care prescribing.

ABSTRACT:

Objective

To explore how different practices responded to the Data-driven Quality Improvement in Primary Care (DQIP) intervention in terms of their adoption of the work, reorganisation to deliver the intended change in care to patients, and whether implementation was sustained over time.

Design

Mixed-methods parallel process evaluation of a cluster trial, reporting the comparative case study of purposively selected practices.

Setting

Ten (30%) primary care practices participating in the trial from Scotland, UK.

Results

Four practices were sampled because they had large rapid reductions in targeted prescribing. They all had internal agreement that the topic mattered, made early plans to implement including assigning responsibility for work and regularly evaluate

SUBMITTER: Grant A 

PROVIDER: S-EPMC5353272 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature