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The communication of a secondary care diagnosis of autoimmune hepatitis to primary care practitioners: a
Fumi Varyani1, Timothy Card, Philip Kaye
1Department of Gastroenterology, Queens Medical Centre, Nottingham University Hospital NHS Trust, Derby Road, Nottingham, NG7 2UH, United Kingdom. fumi_varyani@hotmail.com
Insights
Accurate coding of Autoimmune Hepatitis (AIH) in UK primary care records is confirmed. This validates using electronic health data for population studies on AIH incidence and prevalence.
Area of Science:
- Hepatology
- Clinical Informatics
- Epidemiology
Background:
- Autoimmune Hepatitis (AIH) is a chronic liver disease with limited UK data on incidence, prevalence, and natural history.
- Electronic primary care records offer a potential data source, but diagnostic coding accuracy is unknown.
- Accurate coding is crucial for reliable population-based studies.
Purpose of the Study:
- To assess the accuracy of Autoimmune Hepatitis diagnoses recorded in UK General Practice computerised records.
- To determine the proportion of consultant hepatologist-diagnosed AIH cases accurately coded in primary care.
Main Methods:
- Study population: Patients diagnosed with AIH by consultant hepatologists (2004-2009) at Nottingham University Hospitals.
- Method: General Practitioners (GPs) of confirmed AIH patients were contacted to ascertain diagnostic coding.
- Data collection: Response rate from GPs and the specific READ code used for AIH diagnosis were recorded.
Main Results:
- Of 42 patients with confirmed AIH, 39 GPs (90.5%) responded.
- 33 out of 37 responding GPs (89%) used the READ code J638.00 for Autoimmune Hepatitis.
- This indicates high accuracy in primary care recording of specialist AIH diagnoses.
Conclusions:
- Consultant Hepatologist diagnoses of Autoimmune Hepatitis are accurately communicated and recorded in UK primary care.
- The reliability of these electronic records supports their use in population-based AIH studies.
- Utilizing primary care data minimizes selection bias in epidemiological research on AIH.
Background:
Autoimmune Hepatitis is a chronic liver disease which affects young people and can result in liver failure leading to death or transplantation yet there is a lack of information on the incidence and prevalence of this disease and its natural history in the UK. A means of obtaining this information is via the use of clinical databases formed of electronic primary care records. How reliably the diagnosis is coded in such records is however unknown. The aim of this study therefore was to assess the proportion of consultant hepatologist diagnoses of Autoimmune Hepatitis which were accurately recorded in General Practice computerised records.
Methods:
Our study population were patients with Autoimmune Hepatitis diagnosed by consultant hepatologists in the Queens Medical Centre, Nottingham University Hospitals (UK) between 2004 and 2009. We wrote to the general practitioners of these patients to obtain the percentage of patients who had a valid READ code specific for Autoimmune Hepatitis.
Results:
We examined the electronic records of 51 patients who had biopsy evidence and a possible diagnosis of Autoimmune Hepatitis. Forty two of these patients had a confirmed clinical diagnosis of Autoimmune Hepatitis by a consultant hepatologist: we contacted the General Practitioners of these patients obtaining a response rate of 90.5% (39/42 GPs). 37/39 of these GPs responded with coding information and 89% of these patients (33/37) used Read code J638.00 (Autoimmune Hepatitis) to record a diagnosis.
Conclusions:
The diagnosis of Autoimmune Hepatitis made by a Consultant Hepatologist is accurately communicated to and electronically recorded by primary care in the UK. As a large proportion of cases of Autoimmune Hepatitis are recorded in primary care, this minimises the risk of introducing selection bias and therefore selecting cases using these data will be a valid method of conducting population based studies on Autoimmune Hepatitis.
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