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“We’ve got the home care data, what do we do with it?”: understanding data use in decision making and quality improvement
BACKGROUND: In the past decade the provision of home care services in Canada has doubled; with this increase there has been a growing interest in improving quality and safety. National-level data are captured in the Home Care Reporting System (HCRS), using the interRAI-HC tools. Data in the HCRS pro...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093944/ https://www.ncbi.nlm.nih.gov/pubmed/32213180 http://dx.doi.org/10.1186/s12913-020-5018-9 |
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author | Elliott, Jacobi Gordon, Alicia Tong, Catherine E. Stolee, Paul |
author_facet | Elliott, Jacobi Gordon, Alicia Tong, Catherine E. Stolee, Paul |
author_sort | Elliott, Jacobi |
collection | PubMed |
description | BACKGROUND: In the past decade the provision of home care services in Canada has doubled; with this increase there has been a growing interest in improving quality and safety. National-level data are captured in the Home Care Reporting System (HCRS), using the interRAI-HC tools. Data in the HCRS provide decision-makers and administrators with actionable evidence to inform quality and safety improvement initiatives. The objective of this study was to determine how providers and administrators were using these data, and if there were any opportunities to enhance their use. METHODS: We collaborated with the Canadian Patient Safety Institute to conduct this qualitative study. To understand data use in home care, we recruited participants in management and/or data analysis roles from home care organizations across Canada. We conducted three individual interviews and three focus group interviews with a total of eleven participants from five Canadian provinces. Individual and focus group interviews were audio recorded, transcribed, and analysed using a combination of emergent coding and thematic analysis. RESULTS: Several participants provided powerful examples of how interRAI data have been used to guide patient safety and quality improvement initiatives; however, all participants recognized challenges in using these data. Leveraging interRAI data in the complex home care environment is limited by several factors: the general “newness” of these data in many jurisdictions; the sheer volume of data; limited capacity and resources to interpret and analyse the data; and connectivity issues in rural areas. Participants recognized and appreciated the training that has been provided, and made several recommendations for additional training. CONCLUSIONS: Mandated clinical datasets, such as the suite of interRAI tools, have the potential to improve quality and inform decision-making. However, in order to utilize these data, home care agencies require additional education, personnel and supports. Additional training and resources for these organizations could improve the use of available data by home care agencies, as well as outcomes for individuals receiving home care services. |
format | Online Article Text |
id | pubmed-7093944 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70939442020-03-27 “We’ve got the home care data, what do we do with it?”: understanding data use in decision making and quality improvement Elliott, Jacobi Gordon, Alicia Tong, Catherine E. Stolee, Paul BMC Health Serv Res Research Article BACKGROUND: In the past decade the provision of home care services in Canada has doubled; with this increase there has been a growing interest in improving quality and safety. National-level data are captured in the Home Care Reporting System (HCRS), using the interRAI-HC tools. Data in the HCRS provide decision-makers and administrators with actionable evidence to inform quality and safety improvement initiatives. The objective of this study was to determine how providers and administrators were using these data, and if there were any opportunities to enhance their use. METHODS: We collaborated with the Canadian Patient Safety Institute to conduct this qualitative study. To understand data use in home care, we recruited participants in management and/or data analysis roles from home care organizations across Canada. We conducted three individual interviews and three focus group interviews with a total of eleven participants from five Canadian provinces. Individual and focus group interviews were audio recorded, transcribed, and analysed using a combination of emergent coding and thematic analysis. RESULTS: Several participants provided powerful examples of how interRAI data have been used to guide patient safety and quality improvement initiatives; however, all participants recognized challenges in using these data. Leveraging interRAI data in the complex home care environment is limited by several factors: the general “newness” of these data in many jurisdictions; the sheer volume of data; limited capacity and resources to interpret and analyse the data; and connectivity issues in rural areas. Participants recognized and appreciated the training that has been provided, and made several recommendations for additional training. CONCLUSIONS: Mandated clinical datasets, such as the suite of interRAI tools, have the potential to improve quality and inform decision-making. However, in order to utilize these data, home care agencies require additional education, personnel and supports. Additional training and resources for these organizations could improve the use of available data by home care agencies, as well as outcomes for individuals receiving home care services. BioMed Central 2020-03-25 /pmc/articles/PMC7093944/ /pubmed/32213180 http://dx.doi.org/10.1186/s12913-020-5018-9 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 Elliott, Jacobi Gordon, Alicia Tong, Catherine E. Stolee, Paul “We’ve got the home care data, what do we do with it?”: understanding data use in decision making and quality improvement |
title | “We’ve got the home care data, what do we do with it?”: understanding data use in decision making and quality improvement |
title_full | “We’ve got the home care data, what do we do with it?”: understanding data use in decision making and quality improvement |
title_fullStr | “We’ve got the home care data, what do we do with it?”: understanding data use in decision making and quality improvement |
title_full_unstemmed | “We’ve got the home care data, what do we do with it?”: understanding data use in decision making and quality improvement |
title_short | “We’ve got the home care data, what do we do with it?”: understanding data use in decision making and quality improvement |
title_sort | “we’ve got the home care data, what do we do with it?”: understanding data use in decision making and quality improvement |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093944/ https://www.ncbi.nlm.nih.gov/pubmed/32213180 http://dx.doi.org/10.1186/s12913-020-5018-9 |
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