Skip to main content
Top
Published in: Archives of Osteoporosis 1/2022

01-12-2022 | Osteoporosis | Original Article

Alliance for the development of the Argentinian Hip Fracture Registry

Authors: Ezequiel Monteverde, María Diehl, Magdalena Saieg, María Beauchamp, Jorge Luis Alberto Castellini, Jorge Alberto Neira, Roberto Félix Klappenbach, Paula Rey, Matías Mirofsky, Rosana Quintana, Bruno Rafael Boietti, María Belén Zanchetta, Evangelina Giacoia, Betina Lartigue, Ana Silvina Abbate, Arnaldo Medina, Verónica Silvina Matassa, Roberto Olivetto, Romina Dodero, Ignacio Maglio, Mercedes Bordes, Julio Nemerovsky, Laura Bosque

Published in: Archives of Osteoporosis | Issue 1/2022

Login to get access

Abstract

Summary

Age expectancy has significantly increased over the last 50 years, as well as some age-related health conditions such as hip fractures. The development of hip fracture registries has shown enhanced patient outcomes through quality improvement strategies. The development of the Argentinian Hip Fracture Registry is going in the same direction.

Introduction

Age expectancy has increased worldwide in the last 50 years, with the population over 64 growing from 4.9 to 9.1%. As fractures are an important problem in this age group, specific approaches such as hip fracture registries (HFR) are needed. Our aim is to communicate the Argentinian HFR (AHFR) development resulting from an alliance between Fundación Trauma, Fundación Navarro Viola, and the Argentinian Network of Hip Fracture in the elderly.

Methods

Between October 2020 and May 2021, an iterative consensus process involving 5 specialty-focused meetings and 8 general meetings with more than 20 specialists was conducted. This process comprised inclusion criteria definitions, dataset proposals, website deployment with data protection and user validation, the definition of hospital-adjusted registry levels, implementation planning, and sustainability strategies.

Results

By June 2021, we were able to (1) outline data fields, including epidemiological, clinical, and functional dimensions for the pre-admission, hospitalization, discharge, and follow-up stages; (2) define three levels: basic (53 fields), intermediate (85), and advanced (99); (3) identify 21 benchmarking indicators; and (4) make a correlation scheme among fracture classifications. Simultaneously, we launched a fundraising campaign to implement the AHFR in 30 centers, having completed 18.

Conclusion

AHFR development was based on four pillars: (1) representativeness and support, (2) solid definitions from onset, (3) committed teams, and (4) stable funding. This tool may contribute to the design of evidence-based health policies to improve patient outcomes, and we hope this experience will help other LMICs to develop their own tailored-to-their-needs registries.
Literature
23.
go back to reference Maceira D (2020) Characterization of the Argentine health care system. A debate under the Latin American context. Revista Estado y Políticas Públicas 14:155–179 Maceira D (2020) Characterization of the Argentine health care system. A debate under the Latin American context. Revista Estado y Políticas Públicas 14:155–179
30.
go back to reference Viveros-García JC, Robles-Almaguer E, Albrecht-Junghanns RE et al (2019) Mexican Hip Fracture Audit (ReMexFC): objectives and methodology. MOJ Orthop Rheumatol 11:115–118CrossRef Viveros-García JC, Robles-Almaguer E, Albrecht-Junghanns RE et al (2019) Mexican Hip Fracture Audit (ReMexFC): objectives and methodology. MOJ Orthop Rheumatol 11:115–118CrossRef
31.
go back to reference Neuburger J, Currie C, Wakeman R et al (2015) The impact of a national clinician-led audit initiative on care and mortality after hip fracture in England: an external evaluation using time trends in non-audit data. Med Care 53:686–691CrossRefPubMedPubMedCentral Neuburger J, Currie C, Wakeman R et al (2015) The impact of a national clinician-led audit initiative on care and mortality after hip fracture in England: an external evaluation using time trends in non-audit data. Med Care 53:686–691CrossRefPubMedPubMedCentral
32.
go back to reference Condorhuamán-Alvarado PY, Pareja-Sierra T, Muñoz-Pascual A et al (2022) Improving hip fracture care in Spain: evolution of quality indicators in the Spanish National Hip Fracture Registry. Arch Osteoporos 17:54CrossRefPubMed Condorhuamán-Alvarado PY, Pareja-Sierra T, Muñoz-Pascual A et al (2022) Improving hip fracture care in Spain: evolution of quality indicators in the Spanish National Hip Fracture Registry. Arch Osteoporos 17:54CrossRefPubMed
33.
go back to reference Pincus D, Ravi B, Wasserstein D et al (2017) Association between wait time and 30-day mortality in adults undergoing hip fracture surgery. JAMA 318:1994–2003CrossRefPubMedPubMedCentral Pincus D, Ravi B, Wasserstein D et al (2017) Association between wait time and 30-day mortality in adults undergoing hip fracture surgery. JAMA 318:1994–2003CrossRefPubMedPubMedCentral
34.
go back to reference Nyholm AM, Gromov K, Palm H, Collaborators DFD et al (2015) Time to surgery is associated with thirty-day and ninety-day mortality after proximal femoral fracture: a retrospective observational study on prospectively collected data from the Danish Fracture Database Collaborators. J Bone Joint Surg Am 97:1333–1339CrossRefPubMed Nyholm AM, Gromov K, Palm H, Collaborators DFD et al (2015) Time to surgery is associated with thirty-day and ninety-day mortality after proximal femoral fracture: a retrospective observational study on prospectively collected data from the Danish Fracture Database Collaborators. J Bone Joint Surg Am 97:1333–1339CrossRefPubMed
35.
go back to reference Griffiths R, Babu S, Dixon P et al (2021) Guideline for the management of hip fractures 2020. Anaesthesia 76:225–237CrossRefPubMed Griffiths R, Babu S, Dixon P et al (2021) Guideline for the management of hip fractures 2020. Anaesthesia 76:225–237CrossRefPubMed
37.
go back to reference Dawson NV, Weiss R (2012) Dichotomizing continuous variables in statistical analysis: a practice to avoid. Med Decis Making 32:225–226CrossRefPubMed Dawson NV, Weiss R (2012) Dichotomizing continuous variables in statistical analysis: a practice to avoid. Med Decis Making 32:225–226CrossRefPubMed
Metadata
Title
Alliance for the development of the Argentinian Hip Fracture Registry
Authors
Ezequiel Monteverde
María Diehl
Magdalena Saieg
María Beauchamp
Jorge Luis Alberto Castellini
Jorge Alberto Neira
Roberto Félix Klappenbach
Paula Rey
Matías Mirofsky
Rosana Quintana
Bruno Rafael Boietti
María Belén Zanchetta
Evangelina Giacoia
Betina Lartigue
Ana Silvina Abbate
Arnaldo Medina
Verónica Silvina Matassa
Roberto Olivetto
Romina Dodero
Ignacio Maglio
Mercedes Bordes
Julio Nemerovsky
Laura Bosque
Publication date
01-12-2022
Publisher
Springer London
Published in
Archives of Osteoporosis / Issue 1/2022
Print ISSN: 1862-3522
Electronic ISSN: 1862-3514
DOI
https://doi.org/10.1007/s11657-022-01163-0

Other articles of this Issue 1/2022

Archives of Osteoporosis 1/2022 Go to the issue