Process evaluation of the Data-driven Quality Improvement in Primary Care (DQIP) trial: Quantitative examination of variation between practices in recruitment, implementation and effectiveness

Tobias Dreischulte (Lead / Corresponding author), Aileen Grant, Adrian Hapca, Bruce Guthrie

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)
113 Downloads (Pure)

Abstract

OBJECTIVES: The cluster randomised trial of the Data-driven Quality Improvement in Primary Care (DQIP) intervention showed that education, informatics and financial incentives for general medical practices to review patients with ongoing high-risk prescribing of non-steroidal anti-inflammatory drugs and antiplatelets reduced the primary end point of high-risk prescribing by 37%, where both ongoing and new high-risk prescribing were significantly reduced. This quantitative process evaluation examined practice factors associated with (1) participation in the DQIP trial, (2) review activity (extent and nature of documented reviews) and (3) practice level effectiveness (relative reductions in the primary end point).

SETTING/PARTICIPANTS: Invited practices recruited (n=33) and not recruited (n=32) to the DQIP trial in Scotland, UK.

OUTCOME MEASURES: (1) Characteristics of recruited versus non-recruited practices. Associations of (2) practice characteristics and 'adoption' (self-reported implementation work done by practices) with documented review activity and (3) of practice characteristics, DQIP adoption and review activity with effectiveness.

RESULTS: (1) Recruited practices had lower performance in the quality and outcomes framework than those declining participation. (2) Not being an approved general practitioner training practice and higher self-reported adoption were significantly associated with higher review activity. (3) Effectiveness ranged from a relative increase in high-risk prescribing of 24.1% to a relative reduction of 77.2%. High-risk prescribing and DQIP adoption (but not documented review activity) were significantly associated with greater effectiveness in the final multivariate model, explaining 64.0% of variation in effectiveness.

CONCLUSIONS: Intervention implementation and effectiveness of the DQIP intervention varied substantially between practices. Although the DQIP intervention primarily targeted review of ongoing high-risk prescribing, the finding that self-reported DQIP adoption was a stronger predictor of effectiveness than documented review activity supports that reducing initiation and/or re-initiation of high-risk prescribing is key to its effectiveness.

TRIAL REGISTRATION NUMBER: NCT01425502; Post-results.

Original languageEnglish
Article numbere017133
Pages (from-to)1-12
Number of pages12
JournalBMJ Open
Volume8
Issue number1
DOIs
Publication statusPublished - 5 Jan 2018

Keywords

  • General practice
  • family practice
  • prescribing
  • quality and safety
  • randomised controlled trials
  • process evaluation
  • Quality of Health Care/standards
  • Attitude of Health Personnel
  • Anti-Inflammatory Agents, Non-Steroidal/therapeutic use
  • Quality Improvement/organization & administration
  • General Practitioners
  • Humans
  • Practice Patterns, Physicians'/standards
  • Male
  • Scotland/epidemiology
  • Process Assessment (Health Care)
  • Prescription Drugs/therapeutic use
  • Medical Informatics
  • General Practice/standards
  • Patient Safety
  • Female
  • Aged
  • Evaluation Studies as Topic
  • Cluster Analysis

Fingerprint Dive into the research topics of 'Process evaluation of the Data-driven Quality Improvement in Primary Care (DQIP) trial: Quantitative examination of variation between practices in recruitment, implementation and effectiveness'. Together they form a unique fingerprint.

Cite this