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Family history recording in UK general practice: the lIFeLONG study.
Molly Dineen1,2, Kate Sidaway-Lee2, Denis Pereira Gray1,2
1College of Medicine and Health, University of Exeter, Exeter, Devon, United Kingdom.
Family history (FH) recording in UK general practices is inadequate for genomic medicine. Most patient-reported FH data is missing or inaccurate in electronic medical records, necessitating improvements in frequency, quality, and accuracy.
Area of Science:
- Genomic Medicine
- Clinical Informatics
- Public Health
Background:
- Integrating genomic medicine into patient care requires accurate family history (FH) data.
- Current methods for recording FH in electronic medical records (EMRs) are often inadequate for both genetic and multifactorial conditions.
- Improved FH recording is crucial for risk stratification and personalized medicine.
Purpose of the Study:
- To analyze the frequency, quality, and accuracy of FH recording in UK general/family practices.
- To identify gaps in current FH documentation within primary care settings.
- To inform strategies for enhancing FH data collection for the genomic era.
Main Methods:
- An exploratory study was conducted in a suburban UK general practice.
- Adult patients (n=62) completed a written FH questionnaire.
- Patient-reported FH was compared against their electronic medical records (EMRs) for frequency, quality, and accuracy.
Main Results:
- Only 69.4% of EMRs contained FH information, with significant inaccuracies or omissions (83.2% of patient-reported data).
- Commonly recorded conditions included bowel cancer, breast cancer, diabetes, and heart disease.
- The mean quality score for recorded FH was 3.64 out of 5, indicating room for improvement.
Conclusions:
- UK general practice records require substantial improvement in FH recording to support genomic medicine.
- There is a clear need for more frequent, higher-quality, and accurate FH documentation, particularly for multifactorial conditions.
- Enhancing FH recording is essential for effective risk stratification and personalized healthcare in the genomic era.
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