Literature DB >> 30375101

Validation of hip osteoarthritis diagnosis recording in the UK Clinical Practice Research Datalink.

Rory J Ferguson1, Daniel Prieto-Alhambra1, Christine Walker2, Dahai Yu2, Jose M Valderas3, Andrew Judge1, John Griffiths4, Kelvin P Jordan2, George Peat2, Sion Glyn-Jones1, Alan J Silman1.   

Abstract

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.
© 2018 John Wiley & Sons, Ltd.

Entities:  

Keywords:  CPRD; hip osteoarthritis; pharmacoepidemiology; validation

Mesh:

Year:  2018        PMID: 30375101     DOI: 10.1002/pds.4673

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  6 in total

1.  Influence of pre-existing multimorbidity on receiving a hip arthroplasty: cohort study of 28 025 elderly subjects from UK primary care.

Authors:  Rory Ferguson; Daniel Prieto-Alhambra; George Peat; Antonella Delmestri; Kelvin P Jordan; Vicky Y Strauss; Jose Maria Valderas; Christine Walker; Dahai Yu; Sion Glyn-Jones; Alan Silman
Journal:  BMJ Open       Date:  2021-09-23       Impact factor: 3.006

2.  Does pre-existing morbidity influences risks and benefits of total hip replacement for osteoarthritis: a prospective study of 6682 patients from linked national datasets in England.

Authors:  Rory Ferguson; Daniel Prieto-Alhambra; George Peat; Antonella Delmestri; Kelvin P Jordan; Vicky Y Strauss; Jose Maria Valderas; Christine Walker; Dahai Yu; Sion Glyn-Jones; Alan Silman
Journal:  BMJ Open       Date:  2021-09-23       Impact factor: 3.006

3.  Validation of knee osteoarthritis case identification algorithms in a large electronic health record database.

Authors:  Michelle S Yau; Maureen Dubreuil; Shanshan Li; Vibha Inamdar; Christine Peloquin; David T Felson
Journal:  Osteoarthr Cartil Open       Date:  2021-12-13

4.  Opioid prescriptions in patients with osteoarthritis: a population-based cohort study.

Authors:  Jacoline J van den Driest; Dieuwke Schiphof; Marcel de Wilde; Patrick J E Bindels; Johan van der Lei; Sita M A Bierma-Zeinstra
Journal:  Rheumatology (Oxford)       Date:  2020-09-01       Impact factor: 7.580

5.  Antidepressant and anticonvulsant prescription rates in patients with osteoarthritis: a population-based cohort study.

Authors:  Jacoline J van den Driest; Dieuwke Schiphof; Marcel de Wilde; Patrick J E Bindels; Johan van der Lei; Sita M A Bierma-Zeinstra
Journal:  Rheumatology (Oxford)       Date:  2021-05-14       Impact factor: 7.580

6.  β-blocker prescription is associated with lower cumulative risk of knee osteoarthritis and knee pain consultations in primary care: a propensity score-matched cohort study.

Authors:  Georgina Nakafero; Matthew J Grainge; Ana M Valdes; Nick Townsend; Christian D Mallen; Weiya Zhang; Michael Doherty; Mamas Mamas; Abhishek Abhishek
Journal:  Rheumatology (Oxford)       Date:  2021-12-01       Impact factor: 7.580

  6 in total

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