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HealthTree Cure Hub: A Patient-Derived, Patient-Driven Clinical Cancer Information Platform Used to Overcome Hurdles and Accelerate Research in Multiple Myeloma
The study of rare diseases, such as multiple myeloma (MM), often experiences unique research hurdles that can delay or prevent lifesaving discoveries. HealthTree Cure Hub is a first-in-class software program designed to overcome these potential research hurdles. METHODS: We assessed whether HealthTr...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8932482/ https://www.ncbi.nlm.nih.gov/pubmed/35271305 http://dx.doi.org/10.1200/CCI.21.00141 |
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author | Sweeney, Nathan W. Ahlstrom, Jennifer M. Davies, Faith E. Thompson, Michael A. |
author_facet | Sweeney, Nathan W. Ahlstrom, Jennifer M. Davies, Faith E. Thompson, Michael A. |
author_sort | Sweeney, Nathan W. |
collection | PubMed |
description | The study of rare diseases, such as multiple myeloma (MM), often experiences unique research hurdles that can delay or prevent lifesaving discoveries. HealthTree Cure Hub is a first-in-class software program designed to overcome these potential research hurdles. METHODS: We assessed whether HealthTree Cure Hub improved four commonly experienced research hurdles such as (1) small numbers of patient accrual to clinical trials and research studies, (2) shallow and isolated data sets, (3) high costs to answer research questions, and (4) lack of long-term follow-up patient data. RESULTS: As of June 2021, HealthTree Cure Hub, with its unique portal features, has attracted 9,225 patients with MM and diverse demographic backgrounds. While completing an online health profile, patients shared comprehensive data, as well as provided consent to contribute data from electronic medical records. Portal use answered research questions using patient-driven real-world data. This also cultivated relationships with patients and established communication channels that enabled continual patient contact to allow for long-term follow-up. CONCLUSION: These results suggest that a patient-driven data capture tool such as HealthTree Cure Hub will help alleviate common research hurdles, which, in turn, will accelerate MM research, develop new hypotheses, and ultimately improve survival. |
format | Online Article Text |
id | pubmed-8932482 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-89324822022-03-21 HealthTree Cure Hub: A Patient-Derived, Patient-Driven Clinical Cancer Information Platform Used to Overcome Hurdles and Accelerate Research in Multiple Myeloma Sweeney, Nathan W. Ahlstrom, Jennifer M. Davies, Faith E. Thompson, Michael A. JCO Clin Cancer Inform ORIGINAL REPORTS The study of rare diseases, such as multiple myeloma (MM), often experiences unique research hurdles that can delay or prevent lifesaving discoveries. HealthTree Cure Hub is a first-in-class software program designed to overcome these potential research hurdles. METHODS: We assessed whether HealthTree Cure Hub improved four commonly experienced research hurdles such as (1) small numbers of patient accrual to clinical trials and research studies, (2) shallow and isolated data sets, (3) high costs to answer research questions, and (4) lack of long-term follow-up patient data. RESULTS: As of June 2021, HealthTree Cure Hub, with its unique portal features, has attracted 9,225 patients with MM and diverse demographic backgrounds. While completing an online health profile, patients shared comprehensive data, as well as provided consent to contribute data from electronic medical records. Portal use answered research questions using patient-driven real-world data. This also cultivated relationships with patients and established communication channels that enabled continual patient contact to allow for long-term follow-up. CONCLUSION: These results suggest that a patient-driven data capture tool such as HealthTree Cure Hub will help alleviate common research hurdles, which, in turn, will accelerate MM research, develop new hypotheses, and ultimately improve survival. Wolters Kluwer Health 2022-03-10 /pmc/articles/PMC8932482/ /pubmed/35271305 http://dx.doi.org/10.1200/CCI.21.00141 Text en © 2022 by American Society of Clinical Oncology https://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution Non-Commercial No Derivatives 4.0 License: http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | ORIGINAL REPORTS Sweeney, Nathan W. Ahlstrom, Jennifer M. Davies, Faith E. Thompson, Michael A. HealthTree Cure Hub: A Patient-Derived, Patient-Driven Clinical Cancer Information Platform Used to Overcome Hurdles and Accelerate Research in Multiple Myeloma |
title | HealthTree Cure Hub: A Patient-Derived, Patient-Driven Clinical Cancer Information Platform Used to Overcome Hurdles and Accelerate Research in Multiple Myeloma |
title_full | HealthTree Cure Hub: A Patient-Derived, Patient-Driven Clinical Cancer Information Platform Used to Overcome Hurdles and Accelerate Research in Multiple Myeloma |
title_fullStr | HealthTree Cure Hub: A Patient-Derived, Patient-Driven Clinical Cancer Information Platform Used to Overcome Hurdles and Accelerate Research in Multiple Myeloma |
title_full_unstemmed | HealthTree Cure Hub: A Patient-Derived, Patient-Driven Clinical Cancer Information Platform Used to Overcome Hurdles and Accelerate Research in Multiple Myeloma |
title_short | HealthTree Cure Hub: A Patient-Derived, Patient-Driven Clinical Cancer Information Platform Used to Overcome Hurdles and Accelerate Research in Multiple Myeloma |
title_sort | healthtree cure hub: a patient-derived, patient-driven clinical cancer information platform used to overcome hurdles and accelerate research in multiple myeloma |
topic | ORIGINAL REPORTS |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8932482/ https://www.ncbi.nlm.nih.gov/pubmed/35271305 http://dx.doi.org/10.1200/CCI.21.00141 |
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