TY - JOUR

T1 - Linear regression analysis of Hospital Episode Statistics predicts a large increase in demand for elective hand surgery in England

AU - Bebbington, Emily

AU - Furniss, Dominic

PY - 2014/10/15

Y1 - 2014/10/15

N2 - IntroductionWe integrated two factors, demographic population shifts and changes in prevalence of disease, to predict future trends in demand for hand surgery in England, to facilitate workforce planning.MethodsWe analysed Hospital Episode Statistics data for Dupuytren's disease, carpal tunnel syndrome, cubital tunnel syndrome, and trigger finger from 1998 to 2011. Using linear regression, we estimated trends in both diagnosis and surgery until 2030. We integrated this regression with age specific population data from the Office for National Statistics in order to estimate how this will contribute to a change in workload over time.ResultsThere has been a significant increase in both absolute numbers of diagnoses and surgery for all four conditions. Combined with future population data, we calculate that the total operative burden for these four conditions will increase from 87,582 in 2011 to 170,166 (95% confidence interval 144,517–195,353) in 2030.DiscussionThe prevalence of these diseases in the ageing population, and increasing prevalence of predisposing factors such as obesity and diabetes, may account for the predicted increase in workload. The most cost effective treatments must be sought, which requires high quality clinical trials. Our methodology can be applied to other sub-specialties to help anticipate the need for future service provision.

AB - IntroductionWe integrated two factors, demographic population shifts and changes in prevalence of disease, to predict future trends in demand for hand surgery in England, to facilitate workforce planning.MethodsWe analysed Hospital Episode Statistics data for Dupuytren's disease, carpal tunnel syndrome, cubital tunnel syndrome, and trigger finger from 1998 to 2011. Using linear regression, we estimated trends in both diagnosis and surgery until 2030. We integrated this regression with age specific population data from the Office for National Statistics in order to estimate how this will contribute to a change in workload over time.ResultsThere has been a significant increase in both absolute numbers of diagnoses and surgery for all four conditions. Combined with future population data, we calculate that the total operative burden for these four conditions will increase from 87,582 in 2011 to 170,166 (95% confidence interval 144,517–195,353) in 2030.DiscussionThe prevalence of these diseases in the ageing population, and increasing prevalence of predisposing factors such as obesity and diabetes, may account for the predicted increase in workload. The most cost effective treatments must be sought, which requires high quality clinical trials. Our methodology can be applied to other sub-specialties to help anticipate the need for future service provision.

U2 - 10.1016/j.bjps.2014.10.011

DO - 10.1016/j.bjps.2014.10.011

M3 - Article

SP - 243

JO - Journal of Plastic, Reconstructive & Aesthetic Surgery

JF - Journal of Plastic, Reconstructive & Aesthetic Surgery

SN - 1748-6815

M1 - https://doi.org/10.1016/j.bjps.2014.10.011

ER -