4.6 Article

Optimising the secondary use of primary care prescribing data to improve quality of care: a qualitative analysis

Journal

BMJ OPEN
Volume 12, Issue 7, Pages -

Publisher

BMJ PUBLISHING GROUP
DOI: 10.1136/bmjopen-2022-062349

Keywords

PRIMARY CARE; Quality in health care; QUALITATIVE RESEARCH; Health & safety; Information management

Funding

  1. European Union [765141]
  2. Marie Curie Actions (MSCA) [765141] Funding Source: Marie Curie Actions (MSCA)

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This study explores the availability and secondary uses of primary care prescribing data in the Dutch context, aiming to improve the quality of care. The study identifies three main sources of data: clinical data in electronic health records (EHRs), pharmacy data in community pharmacy databases, and claims data from insurers. However, the integration of these data sources is limited. The study emphasizes the importance of consolidating patient-specific data and prioritizing data linkages to enhance the actionability of prescribing data.
Objectives To explore available data sources, secondary uses and key considerations for optimising the actionability of primary care prescribing data to improve quality of care in the Dutch context. Design An exploratory qualitative study was undertaken based on semi-structured interviews. We anchored our investigation around three tracer prescription types: antibiotics; benzodiazepines and opioids. Descriptive and explanatory themes were derived from interview data using thematic analysis. Setting Stakeholders were sampled from across the micro (clinical), meso (organisational) and macro (policy) contexts of the Dutch primary care system. Participants The study involved 28 informants representing general practitioners (GPs), community pharmacists, regional chronic care networks (care groups), academia and research institutes, insurers, professional associations, electronic health record (EHR) vendors and national authorities. Results In the Netherlands, three main sources of data for improving prescribing in primary care are in use: clinical data in the EHRs of GP practices; pharmacy data in community pharmacy databases and claims data of insurers. While the secondary use of pharmacy and claims data is well-established across levels, the use of these data together with EHR data is limited. Important differences in the types of prescribing information needed by micro-meso-macro context are found, though the extent to which current indicators address these varies by prescription type. Five main themes were identified as areas for optimising data use: (1) measuring what matters, (2) increasing data linkages, (3) improving data quality, (4) facilitating data sharing and (5) optimising fit for use analysis. Conclusions To make primary care prescribing data useful for improving quality, consolidated patient-specific data on the indication for a prescription and dispensed medicine, over time, is needed. In the Netherlands, the selection of indicators requires further prioritisation to better signal the appropriateness and long-term use of prescription drugs. Prioritising data linkages is critical towards more actionable use.

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