Perceptions Of Primary Care Staff On A Regional Data Quality Intervention In General Practice

Abstract

Background: Recent advancements in clinical data systems have enabled disease surveillance and population health planning using primary care administrative data. However, concerns persist regarding the accuracy and comprehensiveness of these health records.

Methods: This study explores the views and experiences of general practice personnel regarding the maintenance of accurate patient health data in c[1]linical software used in regional primary care settings . Focus groups were conducted with general practitioners, practice nurses, and administrative staff from 17 practices in the Illawarra-Shoalhaven region participating in the Sentinel Practices Data Sourcing (SPDS) project.

Results: Thematic analysis revealed five key themes: Resourcing Data Management: Challenges included time constraints, lack of dedicated data management roles, and the need for multidisciplinary involvement and a data champion. Incentives and Motivation: Importance was placed on incentives to ensure ongoing commitment to data quality. Software Quality: Issues such as coding problems, software limitations, and IT skills were identified as barriers. Lessons Learned: The project increased awareness of data quality importance among practice staff. Human Factors: Emphasized the role of human factors in maintaining accurate datasets.

Conclusion: Electronic health record systems offer substantial benefits but require addressing barriers faced by clinicians and staff to ensure accurate primary care patient data for optimal patient care and population health planning.