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. 2014 Jun;85(3):238-43.
doi: 10.3109/17453674.2014.913224. Epub 2014 Apr 23.

Projections of total hip replacement in Sweden from 2013 to 2030

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Projections of total hip replacement in Sweden from 2013 to 2030

Szilárd Nemes et al. Acta Orthop. 2014 Jun.

Abstract

Background and purpose: The continuously increasing demand for joint replacement surgery in the past decades imposes higher constraints on the budgets of hospitals and healthcare providers. We undertook an analysis of historical trends in total hip replacement performed in Sweden between 1968 and 2012 in order to provide projections of future demand.

Data and methods: We obtained data on total hip replacements registered every year and on the evolution of the Swedish population between 1968 and 2012. We assumed the existence of a maximum incidence. So we adopted a regression framework that assumes the existence of an upper limit of total hip replacement incidence.

Results: We found that the incidence of total hip replacement will continue to increase until a projected upper incidence level of about 400 total hip replacements per 10(5) Swedish residents aged 40 years and older will be reached around the year 2107. In 2020, the estimated incidence of total hip replacement will be 341 (95% prediction interval (PI): 302-375) and in 2030 it will be 358 (PI: 317-396). Using official forecasted population growth data, about 18,000 operations would be expected to be performed in 2020 and 20,000 would be expected to be performed in 2030.

Interpretation: Growing incidence, population growth, and increasing life expectancy will probably result in increased demand for hip replacement surgery. Our findings could serve as a basis for decision making.

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Figures

Figure 1.
Figure 1.
Annual number of total hip replacements registered in Sweden, 1968–2012.
Figure 2.
Figure 2.
The recorded and projected incidence of total hip arthroplasty per 105 Swedish residents aged 40 years or older, 2013–2040. A. Projections based on Poisson regression. B. Projections based on asymptotic modeling, with the gray horizontal line representing the estimated asymptote and the associated 95% confidence intervals of the best model; asymptotic regression.

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