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Validation of hip osteoarthritis diagnosis recording in the UK Clinical Practice Research Datalink
Rory J Ferguson1, Daniel Prieto-Alhambra1, Christine Walker2
1Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
Insights
Primary care coding for hip osteoarthritis in the UK Clinical Practice Research Datalink (CPRD) shows good accuracy for research. However, the recorded diagnosis dates may be unreliable.
Area of Science:
- Orthopedics
- Primary Care Medicine
- Health Informatics
Background:
- Diagnosing hip osteoarthritis in primary care presents challenges.
- Accurate coding and diagnosis dates are crucial for research using electronic health records.
Purpose of the Study:
- To evaluate the diagnostic accuracy of hip osteoarthritis (OA) coding in the UK Clinical Practice Research Datalink (CPRD).
- To assess the impact of clinical and radiographic factors on diagnostic accuracy.
- To determine the reliability of the hip OA diagnosis date in CPRD.
Main Methods:
- A sample of patients aged over 65 with hip OA codes in CPRD (1995-2014) was selected.
- Physicians of selected participants received questionnaires on clinical and radiographic diagnostic criteria.
- Diagnostic thresholds were established using clinical, radiographic, and combined criteria.
Main Results:
- The positive predictive value (PPV) for hip OA codes was 79.8% (radiological) and 79.0% (clinical).
- 12% of diagnoses were unconfirmed, and 42% of diagnosis dates differed between CPRD and medical records.
- The median difference in diagnosis dates was substantial (±425 days).
Conclusions:
- CPRD hip OA codes demonstrate adequate positive predictive value for most research applications.
- The accuracy of hip OA diagnosis dates in CPRD is questionable and requires careful consideration for research.
- Further improvements in primary care diagnostic processes and data recording are warranted.
Purpose:
The diagnosis of hip osteoarthritis is subject to several uncertainties, especially in primary care. The aims of this study were to determine (i) the diagnostic accuracy of coding of hip osteoarthritis by primary care physicians in the UK Clinical Practice Research Datalink (CPRD), (ii) the relative influence of radiographic and clinical parameters on diagnostic accuracy, and (iii) the accuracy of the diagnosis date.
Methods:
An extract of all patients aged over 65 years, with a Read code for hip osteoarthritis listed between January 1995 and December 2014, was obtained from CPRD. A random sample was selected of 170 participants. A questionnaire concerning data in medical records on relevant clinical and radiographic criteria used to establish the diagnosis of hip osteoarthritis was distributed to primary care physicians of participants. Using diagnostic criteria, we formulated thresholds for diagnosis based on clinical, radiographic, and combined grounds.
Results:
One hundred nineteen completed questionnaires were returned (70% response rate). The positive predictive value (PPV) of hip osteoarthritis codes, based on radiological criteria, was 79.8%. The PPV, based on clinical criteria, was 79.0%, with substantial but not complete overlap. Overall 12% of diagnoses were not confirmed. In 42% of cases, there was disparity between date of diagnosis in CPRD and the medical record. Median difference in date was ±425 days (interquartile range, 18-1448 days).
Conclusions:
Despite the difficulties in reaching a diagnosis of hip osteoarthritis in primary care, CPRD Read codes have a sufficiently high PPV for most research uses. However, the accuracy of diagnosis date may not be as reliable.
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