Understanding Prescription Incidents in Primary Care to Target Contributory Factors: A descriptive study
31 December 2021
Project Categories
Care Process & Redesign
Platform
Singapore Health Biomedical Congress
Cluster
National Healthcare Group
Describe prescription incidents in primary care and explore associated factors. Multidisciplinary approaches targeting shared care and transitional practices reduce prescription-related errors effectively.
Year Submitted: 2021
Published Date: 31 December 2021
Tags: Care Process ＆ Redesign, Value Based Care, Risk Management, Adverse Outcome Reduction, Quality Improvement
About this Content
Aims
Describe prescription incidents in primary care and explore associated factors.
Background
Prescription incidents in primary care remain understudied; significant morbidity and system costs are associated with errors.
Methods
Retrospective cross-sectional study using an audit database to analyze incidents across 19,513 prescriptions in a polyclinic.
Results
Incident rate was 2.69%; diabetes and transition/shared care significantly associated with prescription incidents; Ramadan fasting adjustments highlighted.
Conclusion
Multidisciplinary approaches targeting shared care and transitional practices reduce prescription-related errors effectively.
Lessons Learnt
System-based interventions are needed to reduce errors, especially for specific groups (e.g., diabetic patients during Ramadan).
Additional Information
Gold Award (Singapore Primary Care Research Poster) in SHBC 2021; insights provide direction for error reduction projects.
Keywords
Prescription Errors, Primary Care, Shared Care, Risk Management
Innovators' Details
Innovators' Details
Healthcare Cluster(s) | National Healthcare Group |
Organization(s) Involved | Ministry of Health, Singapore, National Healthcare Group Polyclinics |
Platform(s) | Singapore Health Biomedical Congress |
Healthcare Professional Group(s) | Medical, Pharmacy |
Applicable Specialty or Discipline | Pharmacology |
Project Lead(s) | Gabriel Wong Liang Jie |
Project Member(s) | D. Manoharan |
Connect with this contributor!
Gabriel Wong Liang Jie - gabrielwlj@gmail.com