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How to optimize the design and implementation of risk prediction tools: focus group with patients with IgA nephropathy
BACKGROUND: IgA nephropathy (IgAN) is a common type of chronic immune-mediated kidney disease with variable risk of progression to end-stage kidney disease. Risk stratification helps clinicians weight the potential risks and benefits of immunosuppressive therapy for individual patients, and can info...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7493917/ https://www.ncbi.nlm.nih.gov/pubmed/32938443 http://dx.doi.org/10.1186/s12911-020-01253-4 |
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author | Gagliardi, Anna R. Reich, Heather N. Cattran, Daniel C. Barbour, Sean J. |
author_facet | Gagliardi, Anna R. Reich, Heather N. Cattran, Daniel C. Barbour, Sean J. |
author_sort | Gagliardi, Anna R. |
collection | PubMed |
description | BACKGROUND: IgA nephropathy (IgAN) is a common type of chronic immune-mediated kidney disease with variable risk of progression to end-stage kidney disease. Risk stratification helps clinicians weight the potential risks and benefits of immunosuppressive therapy for individual patients, and can inform patient-centred communication. No prior research examined barriers of risk predication tools (RPT) specific to IgAN. The purpose of this study was to explore determinants (facilitators, barriers) of RPT use from the patient perspective. METHODS: We conducted a single focus group with English-speaking adults aged 18 or older with biopsy-proven IgAN. We asked about how they would use an IgAN RPT, and how to improve its design and implementation. We analyzed the transcript using constant comparison to inductively derive themes, and complied with qualitative research reporting criteria. RESULTS: The 5 participants were Caucasian men who varied in age from 35 to 55. The glomerular filtration rate ranged from 29 to 71 mL/min/1.73m(2), and proteinuria ranged from 0.36 to 1.41 g/d. Participants identified both benefits and harms of the risk score. They said physicians should first ask patients for permission to use it. To make it more useful, participants offered suggestions to enhance RTP design: visual display, information on how to interpret the risk score, risk categories, health implications, modifiable risk factors, multiple scenarios, and comparison with similar patients. They offered additional suggestions to enhance RPT implementation: it should not replace patient-provider discussion, it should be accompanied by self-management education so that patients can take an active role in their health. Participants appreciated information from members of the multidisciplinary team in addition to physicians. Participants also said that physicians should monitor patient emotions or concerns on an ongoing basis. CONCLUSIONS: Patients with IgAN identified numerous ways to enhance the design and use of an RPT. Others could use this information to design and implement RPTs for patients with other conditions, but should employ user-centred design to develop RPTs that address patient preferences. |
format | Online Article Text |
id | pubmed-7493917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74939172020-09-23 How to optimize the design and implementation of risk prediction tools: focus group with patients with IgA nephropathy Gagliardi, Anna R. Reich, Heather N. Cattran, Daniel C. Barbour, Sean J. BMC Med Inform Decis Mak Research Article BACKGROUND: IgA nephropathy (IgAN) is a common type of chronic immune-mediated kidney disease with variable risk of progression to end-stage kidney disease. Risk stratification helps clinicians weight the potential risks and benefits of immunosuppressive therapy for individual patients, and can inform patient-centred communication. No prior research examined barriers of risk predication tools (RPT) specific to IgAN. The purpose of this study was to explore determinants (facilitators, barriers) of RPT use from the patient perspective. METHODS: We conducted a single focus group with English-speaking adults aged 18 or older with biopsy-proven IgAN. We asked about how they would use an IgAN RPT, and how to improve its design and implementation. We analyzed the transcript using constant comparison to inductively derive themes, and complied with qualitative research reporting criteria. RESULTS: The 5 participants were Caucasian men who varied in age from 35 to 55. The glomerular filtration rate ranged from 29 to 71 mL/min/1.73m(2), and proteinuria ranged from 0.36 to 1.41 g/d. Participants identified both benefits and harms of the risk score. They said physicians should first ask patients for permission to use it. To make it more useful, participants offered suggestions to enhance RTP design: visual display, information on how to interpret the risk score, risk categories, health implications, modifiable risk factors, multiple scenarios, and comparison with similar patients. They offered additional suggestions to enhance RPT implementation: it should not replace patient-provider discussion, it should be accompanied by self-management education so that patients can take an active role in their health. Participants appreciated information from members of the multidisciplinary team in addition to physicians. Participants also said that physicians should monitor patient emotions or concerns on an ongoing basis. CONCLUSIONS: Patients with IgAN identified numerous ways to enhance the design and use of an RPT. Others could use this information to design and implement RPTs for patients with other conditions, but should employ user-centred design to develop RPTs that address patient preferences. BioMed Central 2020-09-16 /pmc/articles/PMC7493917/ /pubmed/32938443 http://dx.doi.org/10.1186/s12911-020-01253-4 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 Gagliardi, Anna R. Reich, Heather N. Cattran, Daniel C. Barbour, Sean J. How to optimize the design and implementation of risk prediction tools: focus group with patients with IgA nephropathy |
title | How to optimize the design and implementation of risk prediction tools: focus group with patients with IgA nephropathy |
title_full | How to optimize the design and implementation of risk prediction tools: focus group with patients with IgA nephropathy |
title_fullStr | How to optimize the design and implementation of risk prediction tools: focus group with patients with IgA nephropathy |
title_full_unstemmed | How to optimize the design and implementation of risk prediction tools: focus group with patients with IgA nephropathy |
title_short | How to optimize the design and implementation of risk prediction tools: focus group with patients with IgA nephropathy |
title_sort | how to optimize the design and implementation of risk prediction tools: focus group with patients with iga nephropathy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7493917/ https://www.ncbi.nlm.nih.gov/pubmed/32938443 http://dx.doi.org/10.1186/s12911-020-01253-4 |
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