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A knowledge translation tool improved osteoporosis disease management in primary care: an interrupted time series analysis
BACKGROUND: Osteoporosis affects over 200 million people worldwide at a high cost to healthcare systems, yet gaps in management still exist. In response, we developed a multi-component osteoporosis knowledge translation (Op-KT) tool involving a patient-initiated risk assessment questionnaire (RAQ),...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4182792/ https://www.ncbi.nlm.nih.gov/pubmed/25252858 http://dx.doi.org/10.1186/s13012-014-0109-9 |
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author | Kastner, Monika Sawka, Anna M Hamid, Jemila Chen, Maggie Thorpe, Kevin Chignell, Mark Ewusie, Joycelyne Marquez, Christine Newton, David Straus, Sharon E |
author_facet | Kastner, Monika Sawka, Anna M Hamid, Jemila Chen, Maggie Thorpe, Kevin Chignell, Mark Ewusie, Joycelyne Marquez, Christine Newton, David Straus, Sharon E |
author_sort | Kastner, Monika |
collection | PubMed |
description | BACKGROUND: Osteoporosis affects over 200 million people worldwide at a high cost to healthcare systems, yet gaps in management still exist. In response, we developed a multi-component osteoporosis knowledge translation (Op-KT) tool involving a patient-initiated risk assessment questionnaire (RAQ), which generates individualized best practice recommendations for physicians and customized education for patients at the point of care. The objective of this study was to evaluate the effectiveness of the Op-KT tool for appropriate disease management by physicians. METHODS: The Op-KT tool was evaluated using an interrupted time series design. This involved multiple assessments of the outcomes 12 months before (baseline) and 12 months after tool implementation (52 data points in total). Inclusion criteria were family physicians and their patients at risk for osteoporosis (women aged ≥50 years, men aged ≥65 years). Primary outcomes were the initiation of appropriate osteoporosis screening and treatment. Analyses included segmented linear regression modeling and analysis of variance. RESULTS: The Op-KT tool was implemented in three family practices in Ontario, Canada representing 5 family physicians with 2840 age eligible patients (mean age 67 years; 76% women). Time series regression models showed an overall increase from baseline in the initiation of screening (3.4%; P < 0.001), any osteoporosis medications (0.5%; P = 0.006), and calcium or vitamin D (1.2%; P = 0.001). Improvements were also observed at site level for all the three sites considered, but these results varied across the sites. Of 351 patients who completed the RAQ unprompted (mean age 64 years, 77% women), the mean time for completing the RAQ was 3.43 minutes, and 56% had any disease management addressed by their physician. Study limitations included the inherent susceptibility of our design compared with a randomized trial. CONCLUSIONS: The multicomponent Op-KT tool significantly increased osteoporosis investigations in three family practices, and highlights its potential to facilitate patient self-management. Next steps include wider implementation and evaluation of the tool in primary care. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13012-014-0109-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4182792 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41827922014-10-14 A knowledge translation tool improved osteoporosis disease management in primary care: an interrupted time series analysis Kastner, Monika Sawka, Anna M Hamid, Jemila Chen, Maggie Thorpe, Kevin Chignell, Mark Ewusie, Joycelyne Marquez, Christine Newton, David Straus, Sharon E Implement Sci Research BACKGROUND: Osteoporosis affects over 200 million people worldwide at a high cost to healthcare systems, yet gaps in management still exist. In response, we developed a multi-component osteoporosis knowledge translation (Op-KT) tool involving a patient-initiated risk assessment questionnaire (RAQ), which generates individualized best practice recommendations for physicians and customized education for patients at the point of care. The objective of this study was to evaluate the effectiveness of the Op-KT tool for appropriate disease management by physicians. METHODS: The Op-KT tool was evaluated using an interrupted time series design. This involved multiple assessments of the outcomes 12 months before (baseline) and 12 months after tool implementation (52 data points in total). Inclusion criteria were family physicians and their patients at risk for osteoporosis (women aged ≥50 years, men aged ≥65 years). Primary outcomes were the initiation of appropriate osteoporosis screening and treatment. Analyses included segmented linear regression modeling and analysis of variance. RESULTS: The Op-KT tool was implemented in three family practices in Ontario, Canada representing 5 family physicians with 2840 age eligible patients (mean age 67 years; 76% women). Time series regression models showed an overall increase from baseline in the initiation of screening (3.4%; P < 0.001), any osteoporosis medications (0.5%; P = 0.006), and calcium or vitamin D (1.2%; P = 0.001). Improvements were also observed at site level for all the three sites considered, but these results varied across the sites. Of 351 patients who completed the RAQ unprompted (mean age 64 years, 77% women), the mean time for completing the RAQ was 3.43 minutes, and 56% had any disease management addressed by their physician. Study limitations included the inherent susceptibility of our design compared with a randomized trial. CONCLUSIONS: The multicomponent Op-KT tool significantly increased osteoporosis investigations in three family practices, and highlights its potential to facilitate patient self-management. Next steps include wider implementation and evaluation of the tool in primary care. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13012-014-0109-9) contains supplementary material, which is available to authorized users. BioMed Central 2014-09-25 /pmc/articles/PMC4182792/ /pubmed/25252858 http://dx.doi.org/10.1186/s13012-014-0109-9 Text en © Kastner et al.; licensee BioMed Central Ltd. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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. |
spellingShingle | Research Kastner, Monika Sawka, Anna M Hamid, Jemila Chen, Maggie Thorpe, Kevin Chignell, Mark Ewusie, Joycelyne Marquez, Christine Newton, David Straus, Sharon E A knowledge translation tool improved osteoporosis disease management in primary care: an interrupted time series analysis |
title | A knowledge translation tool improved osteoporosis disease management in primary care: an interrupted time series analysis |
title_full | A knowledge translation tool improved osteoporosis disease management in primary care: an interrupted time series analysis |
title_fullStr | A knowledge translation tool improved osteoporosis disease management in primary care: an interrupted time series analysis |
title_full_unstemmed | A knowledge translation tool improved osteoporosis disease management in primary care: an interrupted time series analysis |
title_short | A knowledge translation tool improved osteoporosis disease management in primary care: an interrupted time series analysis |
title_sort | knowledge translation tool improved osteoporosis disease management in primary care: an interrupted time series analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4182792/ https://www.ncbi.nlm.nih.gov/pubmed/25252858 http://dx.doi.org/10.1186/s13012-014-0109-9 |
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