4.7 Article

Defining and mapping the person with osteoarthritis for population studies and public health

Journal

RHEUMATOLOGY
Volume 53, Issue 2, Pages 338-345

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/rheumatology/ket346

Keywords

osteoarthritis; epidemiology; prevalence; service planning

Categories

Funding

  1. Medical Research Council [G9900220]
  2. NHS service support costs from the North Staffordshire Primary Care RD Consortium
  3. MRC [G0501798] Funding Source: UKRI
  4. Medical Research Council [G0501798] Funding Source: researchfish
  5. National Institute for Health Research [NF-SI-0509-10183, RP-PG-0407-10386] Funding Source: researchfish

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Objective. To determine population-based estimates for the prevalence of the person with OA, predicted to be the single greatest cause of disability in the general population by 2030, in order to inform the planning and commissioning of health, social care and prevention services. Methods. A postal survey to all adults epsilon 50 years of age registered with eight general practices in the UK. Self-reported data on chronic joint pain in four body regions (hand, hip, knee, foot) and the disabling nature of the pain was collected to determine gender and age-group specific prevalence estimates of clinical OA in the joint region and in the person. Multiple imputation and weighted logistic regression was used to allow for missing data. Results. A total of 26 705 mailed surveys resulted in 18 474 responses (adjusted response = 71.8%). Approximately half of the mailed population had OA in at least one of the four regions (53.23%, 95% CI 52.3, 54.1) and less than half of these had disabling OA (21.87%, 95% CI 21.2, 22.5). The more joint regions involved, the more likely that the OA was disabling. OA prevalence was higher in females and increased with age. Applied to the population of England, this yielded an estimated 3.5 million persons with disabling OA, including 1.45 million people between 50 and 65 years of age and 370 000 epsilon 85 years of age. Conclusions. A simple approach to defining the person with OA can contribute to population comparisons, public health projections and health care needs assessments.

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