Literature DB >> 29783896

Projections of hip arthroplasty in OECD countries up to 2050.

Christof Pabinger1, Harold Lothaller2, Nicole Portner3, Alexander Geissler4.   

Abstract

OBJECTIVE: The study aims to estimate the future demand of hip arthroplasty for OECD countries and to compare the results with earlier studies.
DESIGN: Based on data availability and validity 20 countries out of the OECD sample have been selected for projection analysis. Using historic data (1995-2012) and multiple linear regression technics a projection model was designed by an iterative process considering different explanatory variables such as health care expenditure, age groups, and projection time frames.
RESULTS: The utilisation of hip implants in OECD countries continues to grow by a compound annual growth rate (CAGR) of 1.2%, leading to an increase from 1.8 million per year in 2015 to 2.8 (2.6-2.9) in the year 2050. The mean utilisation rate (incidence) of hip implants will increase from 184 (143-312) to 275 (174-457) per 100.000 total population in the same time. Australia, Ireland, Norway, Switzerland and other countries will face a significant increase of utilisation of hip implants between +95% and +120% from 2015 to 2050.
CONCLUSIONS: Hip arthroplasty continues to rise significantly over the next 35 years. Therefore, some countries will face an exponential use of hip arthroplasty of additional 100% or more and thus challenges for their health care budgets. Revision burden will increase disproportionately. Thus, health technology assessment (HTA) for medical devices, longevity and quality control will become more relevant.

Entities:  

Keywords:  Future demand; hip; projection; replacement; revision; utilisation rate

Mesh:

Year:  2018        PMID: 29783896     DOI: 10.1177/1120700018757940

Source DB:  PubMed          Journal:  Hip Int        ISSN: 1120-7000            Impact factor:   2.135


  18 in total

1.  Total knee arthroplasty in Italy: reflections from the last fifteen years and projections for the next thirty.

Authors:  Emilio Romanini; Francesco Decarolis; Ilaria Luzi; Gustavo Zanoli; Michele Venosa; Paola Laricchiuta; Eugenio Carrani; Marina Torre
Journal:  Int Orthop       Date:  2018-10-06       Impact factor: 3.075

2.  Improving Acetabular Component Positioning in Total Hip Arthroplasty: A Cadaveric Study of an Inertial Navigation Tool and a Novel Registration Method.

Authors:  Jobe Shatrov; Daniel Marsden-Jones; Matt Lyons; William L Walter
Journal:  HSS J       Date:  2021-11-02

3.  Characteristics and Trends of the Most Cited Arthroplasty Articles in the Journal of Bone and Joint Surgery.

Authors:  Jonathan Weinerman; Joseph P Costello; Juan J Lizardi; David S Constantinescu; Suleiman Y Sudah; Alexander Kuczmarski; Jaime Carvajal Alba
Journal:  Orthop Rev (Pavia)       Date:  2022-10-01

4.  Identified gamification opportunities for digital patient journey solution during an arthroplasty journey: secondary analysis of patients' interviews.

Authors:  Johanna Jansson; Elina Laukka; Outi Kanste; Jonna Koivisto; Miia Jansson
Journal:  Nurs Open       Date:  2022-04-23

Review 5.  Metal on metal hip resurfacing arthroplasty: Where are we now?

Authors:  E J Clough; T M Clough
Journal:  J Orthop       Date:  2020-12-31

Review 6.  Outcome measures in total hip arthroplasty: have our metrics changed over 15 years?

Authors:  Roy H Lan; Jack W Bell; Linsen T Samuel; Atul F Kamath
Journal:  Arch Orthop Trauma Surg       Date:  2021-02-11       Impact factor: 2.928

7.  The use of digitally collected patient-reported outcome measures for newly operated patients with total knee and hip replacements to improve post-treatment recovery: study protocol for a randomized controlled trial.

Authors:  David Kuklinski; Laura Oschmann; Christoph Pross; Reinhard Busse; Alexander Geissler
Journal:  Trials       Date:  2020-04-09       Impact factor: 2.279

8.  Atomic Scale Origin of Metal Ion Release from Hip Implant Taper Junctions.

Authors:  Shanoob Balachandran; Zita Zachariah; Alfons Fischer; David Mayweg; Markus A Wimmer; Dierk Raabe; Michael Herbig
Journal:  Adv Sci (Weinh)       Date:  2020-01-21       Impact factor: 16.806

9.  Can minimal clinically important differences in patient reported outcome measures be predicted by machine learning in patients with total knee or hip arthroplasty? A systematic review.

Authors:  Benedikt Langenberger; Andreas Thoma; Verena Vogt
Journal:  BMC Med Inform Decis Mak       Date:  2022-01-20       Impact factor: 2.796

10.  Endurance testing and finite element simulation of a modified hip stem for integration of an energy harvesting system.

Authors:  Hans-E Lange; Rainer Bader; Daniel Kluess
Journal:  Proc Inst Mech Eng H       Date:  2021-06-17       Impact factor: 1.617

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