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Evaluation of Patient-Friendly Diagnosis Clarifications in a Hospital Patient Portal
Background Medical data can be difficult to comprehend for patients, but only a limited number of patient-friendly terms and definitions are available to clarify medical concepts. Therefore, we developed an algorithm that generalizes diagnoses to more general concepts that do have patient-friendly...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Georg Thieme Verlag KG
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10284629/ https://www.ncbi.nlm.nih.gov/pubmed/37003266 http://dx.doi.org/10.1055/a-2067-5310 |
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author | van Mens, Hugo J. T. Hannen, Gaby E. G. Nienhuis, Remko Bolt, Roel J. de Keizer, Nicolette F. Cornet, Ronald |
author_facet | van Mens, Hugo J. T. Hannen, Gaby E. G. Nienhuis, Remko Bolt, Roel J. de Keizer, Nicolette F. Cornet, Ronald |
author_sort | van Mens, Hugo J. T. |
collection | PubMed |
description | Background Medical data can be difficult to comprehend for patients, but only a limited number of patient-friendly terms and definitions are available to clarify medical concepts. Therefore, we developed an algorithm that generalizes diagnoses to more general concepts that do have patient-friendly terms and definitions in SNOMED CT. We implemented the generalizations, and diagnosis clarifications with synonyms and definitions that were already available, in the problem list of a hospital patient portal. Objective We aimed to assess the extent to which the clarifications cover the diagnoses in the problem list, the extent to which clarifications are used and appreciated by patient portal users, and to explore differences in viewing problems and clarifications between subgroups of users and diagnoses. Methods We measured the coverage of diagnoses by clarifications, usage of the problem list and the clarifications, and user, patient and diagnosis characteristics with aggregated, routinely available electronic health record and log file data. Additionally, patient portal users provided quantitative and qualitative feedback about the clarification quality. Results Of all patient portal users who viewed diagnoses on their problem list ( n = 2,660), 89% had one or more diagnoses with clarifications. In addition, 55% of patient portal users viewed the clarifications. Users who rated the clarifications ( n = 108) considered the clarifications to be of good quality on average, with a median rating per patient of 6 (interquartile range: 4–7; from 1 very bad to 7 very good). Users commented that they found clarifications to be clear and recognized the clarifications from their own experience, but sometimes also found the clarifications incomplete or disagreed with the diagnosis itself. Conclusion This study shows that the clarifications are used and appreciated by patient portal users. Further research and development will be dedicated to the maintenance and further quality improvement of the clarifications. |
format | Online Article Text |
id | pubmed-10284629 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Georg Thieme Verlag KG |
record_format | MEDLINE/PubMed |
spelling | pubmed-102846292023-06-22 Evaluation of Patient-Friendly Diagnosis Clarifications in a Hospital Patient Portal van Mens, Hugo J. T. Hannen, Gaby E. G. Nienhuis, Remko Bolt, Roel J. de Keizer, Nicolette F. Cornet, Ronald Appl Clin Inform Background Medical data can be difficult to comprehend for patients, but only a limited number of patient-friendly terms and definitions are available to clarify medical concepts. Therefore, we developed an algorithm that generalizes diagnoses to more general concepts that do have patient-friendly terms and definitions in SNOMED CT. We implemented the generalizations, and diagnosis clarifications with synonyms and definitions that were already available, in the problem list of a hospital patient portal. Objective We aimed to assess the extent to which the clarifications cover the diagnoses in the problem list, the extent to which clarifications are used and appreciated by patient portal users, and to explore differences in viewing problems and clarifications between subgroups of users and diagnoses. Methods We measured the coverage of diagnoses by clarifications, usage of the problem list and the clarifications, and user, patient and diagnosis characteristics with aggregated, routinely available electronic health record and log file data. Additionally, patient portal users provided quantitative and qualitative feedback about the clarification quality. Results Of all patient portal users who viewed diagnoses on their problem list ( n = 2,660), 89% had one or more diagnoses with clarifications. In addition, 55% of patient portal users viewed the clarifications. Users who rated the clarifications ( n = 108) considered the clarifications to be of good quality on average, with a median rating per patient of 6 (interquartile range: 4–7; from 1 very bad to 7 very good). Users commented that they found clarifications to be clear and recognized the clarifications from their own experience, but sometimes also found the clarifications incomplete or disagreed with the diagnosis itself. Conclusion This study shows that the clarifications are used and appreciated by patient portal users. Further research and development will be dedicated to the maintenance and further quality improvement of the clarifications. Georg Thieme Verlag KG 2023-06-21 /pmc/articles/PMC10284629/ /pubmed/37003266 http://dx.doi.org/10.1055/a-2067-5310 Text en The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. ( https://creativecommons.org/licenses/by-nc-nd/4.0/ ) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited. |
spellingShingle | van Mens, Hugo J. T. Hannen, Gaby E. G. Nienhuis, Remko Bolt, Roel J. de Keizer, Nicolette F. Cornet, Ronald Evaluation of Patient-Friendly Diagnosis Clarifications in a Hospital Patient Portal |
title | Evaluation of Patient-Friendly Diagnosis Clarifications in a Hospital Patient Portal |
title_full | Evaluation of Patient-Friendly Diagnosis Clarifications in a Hospital Patient Portal |
title_fullStr | Evaluation of Patient-Friendly Diagnosis Clarifications in a Hospital Patient Portal |
title_full_unstemmed | Evaluation of Patient-Friendly Diagnosis Clarifications in a Hospital Patient Portal |
title_short | Evaluation of Patient-Friendly Diagnosis Clarifications in a Hospital Patient Portal |
title_sort | evaluation of patient-friendly diagnosis clarifications in a hospital patient portal |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10284629/ https://www.ncbi.nlm.nih.gov/pubmed/37003266 http://dx.doi.org/10.1055/a-2067-5310 |
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