Cargando…
Implementation of the measure of case discussion complexity to guide selection of prostate cancer patients for multidisciplinary team meetings
BACKGROUND: Multidisciplinary team meetings (MDTMs) provide an integrated team approach to ensure individualized and evidence‐based treatment recommendations and best expert advice in cancer care. A growing number of patients and more complex treatment options challenge MDTM resources and evoke need...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417062/ https://www.ncbi.nlm.nih.gov/pubmed/37255390 http://dx.doi.org/10.1002/cam4.6189 |
_version_ | 1785087930955464704 |
---|---|
author | Wihl, Jessica Falini, Victor Borg, Sixten Stahl, Olof Jiborn, Thomas Ohlsson, Bjorn Nilbert, Mef |
author_facet | Wihl, Jessica Falini, Victor Borg, Sixten Stahl, Olof Jiborn, Thomas Ohlsson, Bjorn Nilbert, Mef |
author_sort | Wihl, Jessica |
collection | PubMed |
description | BACKGROUND: Multidisciplinary team meetings (MDTMs) provide an integrated team approach to ensure individualized and evidence‐based treatment recommendations and best expert advice in cancer care. A growing number of patients and more complex treatment options challenge MDTM resources and evoke needs for case prioritization. In this process, decision aids could provide streamlining and standardize evaluation of case complexity. We applied the recently developed Measure of Case Discussion Complexity, MeDiC, instrument with the aim to validate its performance in another healthcare setting and diagnostic area as a means to provide cases for full MDTM discussions. METHODS: The 26‐item MeDiC instrument evaluates case complexity and was applied to 364 men with newly diagnosed prostate cancer in Sweden. MeDiC scores were generated from individual‐level health data and were correlated with clinicopathological parameters, healthcare setting, and the observed clinical case selection for MDTMs. RESULTS: Application of the MeDiC instrument was feasible with rapid scoring based on available clinical data. Patients with high‐risk prostate cancers had significantly higher MeDiC scores than patients with low or intermediate‐risk cancers. In the total study, population affected lymph nodes and metastatic disease significantly influenced MDTM referral, whereas comorbidities and age did not predict MDTM referral. When individual patient MeDiC scores were compared to the clinical MDTM case selection, advanced stage, T3/T4 tumors, involved lymph nodes, presence of metastases and significant physical comorbidity were identified as key MDTM predictive factors. CONCLUSIONS: Application of the MeDiC instrument in prostate cancer may be used to streamline case selection for MDTMs in cancer care and may complement clinical case selection. |
format | Online Article Text |
id | pubmed-10417062 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104170622023-08-12 Implementation of the measure of case discussion complexity to guide selection of prostate cancer patients for multidisciplinary team meetings Wihl, Jessica Falini, Victor Borg, Sixten Stahl, Olof Jiborn, Thomas Ohlsson, Bjorn Nilbert, Mef Cancer Med RESEARCH ARTICLES BACKGROUND: Multidisciplinary team meetings (MDTMs) provide an integrated team approach to ensure individualized and evidence‐based treatment recommendations and best expert advice in cancer care. A growing number of patients and more complex treatment options challenge MDTM resources and evoke needs for case prioritization. In this process, decision aids could provide streamlining and standardize evaluation of case complexity. We applied the recently developed Measure of Case Discussion Complexity, MeDiC, instrument with the aim to validate its performance in another healthcare setting and diagnostic area as a means to provide cases for full MDTM discussions. METHODS: The 26‐item MeDiC instrument evaluates case complexity and was applied to 364 men with newly diagnosed prostate cancer in Sweden. MeDiC scores were generated from individual‐level health data and were correlated with clinicopathological parameters, healthcare setting, and the observed clinical case selection for MDTMs. RESULTS: Application of the MeDiC instrument was feasible with rapid scoring based on available clinical data. Patients with high‐risk prostate cancers had significantly higher MeDiC scores than patients with low or intermediate‐risk cancers. In the total study, population affected lymph nodes and metastatic disease significantly influenced MDTM referral, whereas comorbidities and age did not predict MDTM referral. When individual patient MeDiC scores were compared to the clinical MDTM case selection, advanced stage, T3/T4 tumors, involved lymph nodes, presence of metastases and significant physical comorbidity were identified as key MDTM predictive factors. CONCLUSIONS: Application of the MeDiC instrument in prostate cancer may be used to streamline case selection for MDTMs in cancer care and may complement clinical case selection. John Wiley and Sons Inc. 2023-05-31 /pmc/articles/PMC10417062/ /pubmed/37255390 http://dx.doi.org/10.1002/cam4.6189 Text en © 2023 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | RESEARCH ARTICLES Wihl, Jessica Falini, Victor Borg, Sixten Stahl, Olof Jiborn, Thomas Ohlsson, Bjorn Nilbert, Mef Implementation of the measure of case discussion complexity to guide selection of prostate cancer patients for multidisciplinary team meetings |
title | Implementation of the measure of case discussion complexity to guide selection of prostate cancer patients for multidisciplinary team meetings |
title_full | Implementation of the measure of case discussion complexity to guide selection of prostate cancer patients for multidisciplinary team meetings |
title_fullStr | Implementation of the measure of case discussion complexity to guide selection of prostate cancer patients for multidisciplinary team meetings |
title_full_unstemmed | Implementation of the measure of case discussion complexity to guide selection of prostate cancer patients for multidisciplinary team meetings |
title_short | Implementation of the measure of case discussion complexity to guide selection of prostate cancer patients for multidisciplinary team meetings |
title_sort | implementation of the measure of case discussion complexity to guide selection of prostate cancer patients for multidisciplinary team meetings |
topic | RESEARCH ARTICLES |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417062/ https://www.ncbi.nlm.nih.gov/pubmed/37255390 http://dx.doi.org/10.1002/cam4.6189 |
work_keys_str_mv | AT wihljessica implementationofthemeasureofcasediscussioncomplexitytoguideselectionofprostatecancerpatientsformultidisciplinaryteammeetings AT falinivictor implementationofthemeasureofcasediscussioncomplexitytoguideselectionofprostatecancerpatientsformultidisciplinaryteammeetings AT borgsixten implementationofthemeasureofcasediscussioncomplexitytoguideselectionofprostatecancerpatientsformultidisciplinaryteammeetings AT stahlolof implementationofthemeasureofcasediscussioncomplexitytoguideselectionofprostatecancerpatientsformultidisciplinaryteammeetings AT jibornthomas implementationofthemeasureofcasediscussioncomplexitytoguideselectionofprostatecancerpatientsformultidisciplinaryteammeetings AT ohlssonbjorn implementationofthemeasureofcasediscussioncomplexitytoguideselectionofprostatecancerpatientsformultidisciplinaryteammeetings AT nilbertmef implementationofthemeasureofcasediscussioncomplexitytoguideselectionofprostatecancerpatientsformultidisciplinaryteammeetings |