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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.
Afiliación
  • Wihl J; Department of Clinical Sciences, Division of Oncology and Pathology, Lund University, Lund, Sweden.
  • Falini V; Regional Cancer Centre South, Region Skåne, Lund, Sweden.
  • Borg S; Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden.
  • Stahl O; Regional Cancer Centre South, Region Skåne, Lund, Sweden.
  • Jiborn T; Regional Cancer Centre South, Region Skåne, Lund, Sweden.
  • Ohlsson B; Health Economics Unit, Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden.
  • Nilbert M; Department of Clinical Sciences, Division of Oncology and Pathology, Lund University, Lund, Sweden.
Cancer Med ; 12(14): 15149-15158, 2023 07.
Article en En | MEDLINE | ID: mdl-37255390
ABSTRACT

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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Grupo de Atención al Paciente / Neoplasias de la Próstata Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans / Male País/Región como asunto: Europa Idioma: En Revista: Cancer Med Año: 2023 Tipo del documento: Article País de afiliación: Suecia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Grupo de Atención al Paciente / Neoplasias de la Próstata Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Humans / Male País/Región como asunto: Europa Idioma: En Revista: Cancer Med Año: 2023 Tipo del documento: Article País de afiliación: Suecia
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