Validation of The Health Improvement Network (THIN) primary care database for monitoring prescriptions for smoking cessation medications

Evaluation of tobacco policy requires high quality and timely data on smoking cessation behaviour in the general population and in relevant target groups. Electronic primary care databases have the potential to provide a valuable source of data due to their size and continuity, and the availability of demographic and socioeconomic data. We therefore sought to investigate whether The Health Improvement Network (THIN) prescribing data are complete and can therefore be used to monitor trends in the prescribing of smoking cessation medications.

[1]  A Haines,et al.  Accuracy of diagnosis of psychosis on general practice computer system. , 1993, BMJ.

[2]  J. Warren,et al.  What can primary care prescribing data tell us about individual adherence to long‐term medication?—comparison to pharmacy dispensing data , 2009, Pharmacoepidemiology and drug safety.

[3]  Corri Black,et al.  Validity of the General Practice Research Database , 2003, Pharmacotherapy.

[4]  J. Winter Do patients cash prescriptions? , 1982, British medical journal.

[5]  Anders Sundström,et al.  Factors Predisposing an Abstract To Be Accepted for Oral Presentation , 2008 .

[6]  T. MacDonald,et al.  Primary non-compliance with prescribed medication in primary care. , 1993, BMJ.

[7]  G. Hall Validation of death and suicide recording on the THIN UK primary care database , 2009, Pharmacoepidemiology and drug safety.

[8]  Kevin Haynes,et al.  Validity of The Health Improvement Network (THIN) for epidemiologic studies of hepatitis C virus infection , 2009, Pharmacoepidemiology and drug safety.

[9]  W. Bilker,et al.  Validation studies of the health improvement network (THIN) database for pharmacoepidemiology research , 2007, Pharmacoepidemiology and drug safety.

[10]  R. Hubbard,et al.  Validation of THIN data for non-melanoma skin cancer. , 2008, Quality in primary care.

[11]  D. Begg Do patients cash prescriptions? An audit in one practice. , 1984, The Journal of the Royal College of General Practitioners.

[12]  K. Thiru,et al.  Systematic review of scope and quality of electronic patient record data in primary care , 2003, BMJ : British Medical Journal.

[13]  Sonia Hernández-Díaz,et al.  Positive predictive value of computerized medical records for uncomplicated and complicated upper gastrointestinal ulcer , 2009, Pharmacoepidemiology and drug safety.

[14]  R. Hubbard,et al.  Bupropion and the risk of sudden death: a self-controlled case-series analysis using The Health Improvement Network , 2005, Thorax.

[15]  H Jick,et al.  Validation of information recorded on general practitioner based computerised data resource in the United Kingdom. , 1991, BMJ.