Using Electronic Patient Data to Study Hypertension in Hong Kong
Author Information
Author(s): Wong Martin CS, Jiang Johnny Y, Tang Jin-ling, Lam Augustine, Fung Hong, Mercer Stewart W
Primary Institution: Chinese University of Hong Kong
Hypothesis
The study aims to evaluate the usefulness of a comprehensive database in the public healthcare system in Hong Kong for health services research.
Conclusion
The e-CMS database in Hong Kong has potential for health services research, but caution is needed for disease-specific research due to variability in coding quality.
Supporting Evidence
- 99.98% of prescription details were complete.
- 61% of patients had at least one relevant disease code.
- 82.1% of coded patients had uncomplicated hypertension.
Takeaway
Researchers looked at a lot of patient records to see how well doctors are coding diseases like high blood pressure. They found that while most patient info is complete, some disease codes are missing.
Methodology
Data on antihypertensive prescriptions were retrieved from the e-CMS of primary care clinics in Hong Kong from January 2004 to June 2007, including demographic and socioeconomic characteristics.
Potential Biases
Potential bias due to incomplete coding of diseases by busy physicians during consultations.
Limitations
The study is limited to one healthcare cluster in Hong Kong and lacks external validation of the database's accuracy.
Participant Demographics
The average age of participants was 64 years, with a majority being female and living in urban areas.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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