Cargando…
Development and validation of the fracture risk scale home care (FRS-HC) that predicts one-year incident fracture: an electronic record-linked longitudinal cohort study
BACKGROUND: Fractures have dire consequences including pain, immobility, and death. People receiving home care are at higher risk for fractures than the general population. Yet, current fracture risk assessment tools require additional testing and assume a 10-year survival rate, when many die within...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7388464/ https://www.ncbi.nlm.nih.gov/pubmed/32723311 http://dx.doi.org/10.1186/s12891-020-03529-2 |
_version_ | 1783564315156021248 |
---|---|
author | McArthur, Caitlin Ioannidis, George Jantzi, Micaela Adachi, Jonathon D. Giangregorio, Lora Hirdes, John Papaioannou, Alexandra |
author_facet | McArthur, Caitlin Ioannidis, George Jantzi, Micaela Adachi, Jonathon D. Giangregorio, Lora Hirdes, John Papaioannou, Alexandra |
author_sort | McArthur, Caitlin |
collection | PubMed |
description | BACKGROUND: Fractures have dire consequences including pain, immobility, and death. People receiving home care are at higher risk for fractures than the general population. Yet, current fracture risk assessment tools require additional testing and assume a 10-year survival rate, when many die within one year. Our objectives were to develop and validate a scale that predicts one-year incident hip fracture using the home care resident assessment instrument (RAI-HC). METHODS: This is a retrospective cohort study of linked population data. People receiving home care in Ontario, Canada between April 1st, 2011 and March 31st, 2015 were included. Clinical data were obtained from the RAI-HC which was linked to the Discharge Abstract Database and National Ambulatory Care Reporting System to capture one-year incident hip fractures. Seventy-five percent (n = 238,011) of the sample were randomly assigned to a derivation and 25% (n = 79,610) to a validation sample. A decision tree was created with the derivation sample using known fracture risk factors. The final nodes of the decision tree were collapsed into 8 risk levels and logistic regression was performed to determine odds of having a fracture for each level. c-Statistics were calculated to compare the discriminative properties of the full, derivation, and validation samples. RESULTS: Approximately 60% of the sample were women and 53% were 80 years and older. A total of 11,526 (3.6%) fractures were captured over the 1-year time period. Of these, 5057 (43.9%) were hip fractures. The proportion who experienced a hip fracture in the next year ranged from 0.3% in the lowest risk level to 5.2% in the highest risk level. People in the highest risk level had 18.8 times higher odds (95% confidence interval, 14.6 to 24.3) of experiencing a hip fracture within one year than those in the lowest. c-Statistics were similar for the full (0.658), derivation (0.662), and validation (0.645) samples. CONCLUSIONS: The FRS-HC predicts hip fracture over one year and should be used to guide clinical care planning for home care recipients at high risk for fracture. Our next steps are to develop a fracture risk clinical assessment protocol to link treatment recommendations with identified fracture risk. |
format | Online Article Text |
id | pubmed-7388464 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73884642020-07-31 Development and validation of the fracture risk scale home care (FRS-HC) that predicts one-year incident fracture: an electronic record-linked longitudinal cohort study McArthur, Caitlin Ioannidis, George Jantzi, Micaela Adachi, Jonathon D. Giangregorio, Lora Hirdes, John Papaioannou, Alexandra BMC Musculoskelet Disord Research Article BACKGROUND: Fractures have dire consequences including pain, immobility, and death. People receiving home care are at higher risk for fractures than the general population. Yet, current fracture risk assessment tools require additional testing and assume a 10-year survival rate, when many die within one year. Our objectives were to develop and validate a scale that predicts one-year incident hip fracture using the home care resident assessment instrument (RAI-HC). METHODS: This is a retrospective cohort study of linked population data. People receiving home care in Ontario, Canada between April 1st, 2011 and March 31st, 2015 were included. Clinical data were obtained from the RAI-HC which was linked to the Discharge Abstract Database and National Ambulatory Care Reporting System to capture one-year incident hip fractures. Seventy-five percent (n = 238,011) of the sample were randomly assigned to a derivation and 25% (n = 79,610) to a validation sample. A decision tree was created with the derivation sample using known fracture risk factors. The final nodes of the decision tree were collapsed into 8 risk levels and logistic regression was performed to determine odds of having a fracture for each level. c-Statistics were calculated to compare the discriminative properties of the full, derivation, and validation samples. RESULTS: Approximately 60% of the sample were women and 53% were 80 years and older. A total of 11,526 (3.6%) fractures were captured over the 1-year time period. Of these, 5057 (43.9%) were hip fractures. The proportion who experienced a hip fracture in the next year ranged from 0.3% in the lowest risk level to 5.2% in the highest risk level. People in the highest risk level had 18.8 times higher odds (95% confidence interval, 14.6 to 24.3) of experiencing a hip fracture within one year than those in the lowest. c-Statistics were similar for the full (0.658), derivation (0.662), and validation (0.645) samples. CONCLUSIONS: The FRS-HC predicts hip fracture over one year and should be used to guide clinical care planning for home care recipients at high risk for fracture. Our next steps are to develop a fracture risk clinical assessment protocol to link treatment recommendations with identified fracture risk. BioMed Central 2020-07-28 /pmc/articles/PMC7388464/ /pubmed/32723311 http://dx.doi.org/10.1186/s12891-020-03529-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article McArthur, Caitlin Ioannidis, George Jantzi, Micaela Adachi, Jonathon D. Giangregorio, Lora Hirdes, John Papaioannou, Alexandra Development and validation of the fracture risk scale home care (FRS-HC) that predicts one-year incident fracture: an electronic record-linked longitudinal cohort study |
title | Development and validation of the fracture risk scale home care (FRS-HC) that predicts one-year incident fracture: an electronic record-linked longitudinal cohort study |
title_full | Development and validation of the fracture risk scale home care (FRS-HC) that predicts one-year incident fracture: an electronic record-linked longitudinal cohort study |
title_fullStr | Development and validation of the fracture risk scale home care (FRS-HC) that predicts one-year incident fracture: an electronic record-linked longitudinal cohort study |
title_full_unstemmed | Development and validation of the fracture risk scale home care (FRS-HC) that predicts one-year incident fracture: an electronic record-linked longitudinal cohort study |
title_short | Development and validation of the fracture risk scale home care (FRS-HC) that predicts one-year incident fracture: an electronic record-linked longitudinal cohort study |
title_sort | development and validation of the fracture risk scale home care (frs-hc) that predicts one-year incident fracture: an electronic record-linked longitudinal cohort study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7388464/ https://www.ncbi.nlm.nih.gov/pubmed/32723311 http://dx.doi.org/10.1186/s12891-020-03529-2 |
work_keys_str_mv | AT mcarthurcaitlin developmentandvalidationofthefractureriskscalehomecarefrshcthatpredictsoneyearincidentfractureanelectronicrecordlinkedlongitudinalcohortstudy AT ioannidisgeorge developmentandvalidationofthefractureriskscalehomecarefrshcthatpredictsoneyearincidentfractureanelectronicrecordlinkedlongitudinalcohortstudy AT jantzimicaela developmentandvalidationofthefractureriskscalehomecarefrshcthatpredictsoneyearincidentfractureanelectronicrecordlinkedlongitudinalcohortstudy AT adachijonathond developmentandvalidationofthefractureriskscalehomecarefrshcthatpredictsoneyearincidentfractureanelectronicrecordlinkedlongitudinalcohortstudy AT giangregoriolora developmentandvalidationofthefractureriskscalehomecarefrshcthatpredictsoneyearincidentfractureanelectronicrecordlinkedlongitudinalcohortstudy AT hirdesjohn developmentandvalidationofthefractureriskscalehomecarefrshcthatpredictsoneyearincidentfractureanelectronicrecordlinkedlongitudinalcohortstudy AT papaioannoualexandra developmentandvalidationofthefractureriskscalehomecarefrshcthatpredictsoneyearincidentfractureanelectronicrecordlinkedlongitudinalcohortstudy |