Cargando…
Development and validation of the Fracture Risk Scale (FRS) that predicts fracture over a 1-year time period in institutionalised frail older people living in Canada: an electronic record-linked longitudinal cohort study
OBJECTIVES: To develop and validate our Fracture Risk Scale (FRS) over a 1-year time period, using the long-term care (LTC) Resident Assessment Instrument Minimum Data Set Version 2.0 (RAI-MDS 2.0). DESIGN: A retrospective cohort study. SETTING: LTC homes in Ontario, Canada. PARTICIPANTS: Older adul...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5588955/ https://www.ncbi.nlm.nih.gov/pubmed/28864698 http://dx.doi.org/10.1136/bmjopen-2017-016477 |
_version_ | 1783262253278035968 |
---|---|
author | Ioannidis, George Jantzi, Micaela Bucek, Jenn Adachi, Jonathan D Giangregorio, Lora Hirdes, John Pickard, Laura Papaioannou, Alexandra |
author_facet | Ioannidis, George Jantzi, Micaela Bucek, Jenn Adachi, Jonathan D Giangregorio, Lora Hirdes, John Pickard, Laura Papaioannou, Alexandra |
author_sort | Ioannidis, George |
collection | PubMed |
description | OBJECTIVES: To develop and validate our Fracture Risk Scale (FRS) over a 1-year time period, using the long-term care (LTC) Resident Assessment Instrument Minimum Data Set Version 2.0 (RAI-MDS 2.0). DESIGN: A retrospective cohort study. SETTING: LTC homes in Ontario, Canada. PARTICIPANTS: Older adults who were admitted to LTC and received a RAI-MDS 2.0 admission assessment between 2006 and 2010. RESULTS: A total of 29 848 LTC residents were enrolled in the study. Of these 22 386 were included in the derivation dataset and 7462 individual were included in the validation dataset. Approximately 2/3 of the entire sample were women and 45% were 85 years of age or older. A total of 1553 (5.2%) fractures were reported over the 1-year time period. Of these, 959 (61.8%) were hip fractures. Following a hip fracture, 6.3% of individuals died in the emergency department or as an inpatient admission and did not return to their LTC home. Using decision tree analysis, our final outcome scale had eight risk levels of differentiation. The percentage of individuals with a hip fracture ranged from 0.6% (lowest risk level) to 12.6% (highest risk level). The area under the curve of the outcome scale was similar for the derivation (0.67) and validation (0.69) samples, and the scale exhibited a good level of consistency. CONCLUSIONS: Our FRS predicts hip fracture over a 1-year time period and should be used as an aid to support clinical decisions in the care planning of LTC residents. Future research should focus on the transformation of our scale to a Clinical Assessment Protocol and to assess the FRS in other healthcare settings. |
format | Online Article Text |
id | pubmed-5588955 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-55889552017-09-14 Development and validation of the Fracture Risk Scale (FRS) that predicts fracture over a 1-year time period in institutionalised frail older people living in Canada: an electronic record-linked longitudinal cohort study Ioannidis, George Jantzi, Micaela Bucek, Jenn Adachi, Jonathan D Giangregorio, Lora Hirdes, John Pickard, Laura Papaioannou, Alexandra BMJ Open Geriatric Medicine OBJECTIVES: To develop and validate our Fracture Risk Scale (FRS) over a 1-year time period, using the long-term care (LTC) Resident Assessment Instrument Minimum Data Set Version 2.0 (RAI-MDS 2.0). DESIGN: A retrospective cohort study. SETTING: LTC homes in Ontario, Canada. PARTICIPANTS: Older adults who were admitted to LTC and received a RAI-MDS 2.0 admission assessment between 2006 and 2010. RESULTS: A total of 29 848 LTC residents were enrolled in the study. Of these 22 386 were included in the derivation dataset and 7462 individual were included in the validation dataset. Approximately 2/3 of the entire sample were women and 45% were 85 years of age or older. A total of 1553 (5.2%) fractures were reported over the 1-year time period. Of these, 959 (61.8%) were hip fractures. Following a hip fracture, 6.3% of individuals died in the emergency department or as an inpatient admission and did not return to their LTC home. Using decision tree analysis, our final outcome scale had eight risk levels of differentiation. The percentage of individuals with a hip fracture ranged from 0.6% (lowest risk level) to 12.6% (highest risk level). The area under the curve of the outcome scale was similar for the derivation (0.67) and validation (0.69) samples, and the scale exhibited a good level of consistency. CONCLUSIONS: Our FRS predicts hip fracture over a 1-year time period and should be used as an aid to support clinical decisions in the care planning of LTC residents. Future research should focus on the transformation of our scale to a Clinical Assessment Protocol and to assess the FRS in other healthcare settings. BMJ Publishing Group 2017-09-01 /pmc/articles/PMC5588955/ /pubmed/28864698 http://dx.doi.org/10.1136/bmjopen-2017-016477 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Geriatric Medicine Ioannidis, George Jantzi, Micaela Bucek, Jenn Adachi, Jonathan D Giangregorio, Lora Hirdes, John Pickard, Laura Papaioannou, Alexandra Development and validation of the Fracture Risk Scale (FRS) that predicts fracture over a 1-year time period in institutionalised frail older people living in Canada: an electronic record-linked longitudinal cohort study |
title | Development and validation of the Fracture Risk Scale (FRS) that predicts fracture over a 1-year time period in institutionalised frail older people living in Canada: an electronic record-linked longitudinal cohort study |
title_full | Development and validation of the Fracture Risk Scale (FRS) that predicts fracture over a 1-year time period in institutionalised frail older people living in Canada: an electronic record-linked longitudinal cohort study |
title_fullStr | Development and validation of the Fracture Risk Scale (FRS) that predicts fracture over a 1-year time period in institutionalised frail older people living in Canada: an electronic record-linked longitudinal cohort study |
title_full_unstemmed | Development and validation of the Fracture Risk Scale (FRS) that predicts fracture over a 1-year time period in institutionalised frail older people living in Canada: an electronic record-linked longitudinal cohort study |
title_short | Development and validation of the Fracture Risk Scale (FRS) that predicts fracture over a 1-year time period in institutionalised frail older people living in Canada: an electronic record-linked longitudinal cohort study |
title_sort | development and validation of the fracture risk scale (frs) that predicts fracture over a 1-year time period in institutionalised frail older people living in canada: an electronic record-linked longitudinal cohort study |
topic | Geriatric Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5588955/ https://www.ncbi.nlm.nih.gov/pubmed/28864698 http://dx.doi.org/10.1136/bmjopen-2017-016477 |
work_keys_str_mv | AT ioannidisgeorge developmentandvalidationofthefractureriskscalefrsthatpredictsfractureovera1yeartimeperiodininstitutionalisedfrailolderpeoplelivingincanadaanelectronicrecordlinkedlongitudinalcohortstudy AT jantzimicaela developmentandvalidationofthefractureriskscalefrsthatpredictsfractureovera1yeartimeperiodininstitutionalisedfrailolderpeoplelivingincanadaanelectronicrecordlinkedlongitudinalcohortstudy AT bucekjenn developmentandvalidationofthefractureriskscalefrsthatpredictsfractureovera1yeartimeperiodininstitutionalisedfrailolderpeoplelivingincanadaanelectronicrecordlinkedlongitudinalcohortstudy AT adachijonathand developmentandvalidationofthefractureriskscalefrsthatpredictsfractureovera1yeartimeperiodininstitutionalisedfrailolderpeoplelivingincanadaanelectronicrecordlinkedlongitudinalcohortstudy AT giangregoriolora developmentandvalidationofthefractureriskscalefrsthatpredictsfractureovera1yeartimeperiodininstitutionalisedfrailolderpeoplelivingincanadaanelectronicrecordlinkedlongitudinalcohortstudy AT hirdesjohn developmentandvalidationofthefractureriskscalefrsthatpredictsfractureovera1yeartimeperiodininstitutionalisedfrailolderpeoplelivingincanadaanelectronicrecordlinkedlongitudinalcohortstudy AT pickardlaura developmentandvalidationofthefractureriskscalefrsthatpredictsfractureovera1yeartimeperiodininstitutionalisedfrailolderpeoplelivingincanadaanelectronicrecordlinkedlongitudinalcohortstudy AT papaioannoualexandra developmentandvalidationofthefractureriskscalefrsthatpredictsfractureovera1yeartimeperiodininstitutionalisedfrailolderpeoplelivingincanadaanelectronicrecordlinkedlongitudinalcohortstudy |