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Published on: January 11, 2020
Clinical decision trees support systematic evaluation of multidisciplinary team recommendations
Mathijs P Hendriks1,2,3, Xander A A M Verbeek4, Jeannette G van Manen5
1Department of Medical Oncology, Northwest Clinics, Wilhelminalaan 12, 1815 JD, Alkmaar, The Netherlands. m.p.hendriks@nwz.nl.
Clinical decision trees (CDTs) for breast cancer show low data availability and underreporting of treatment alternatives. Adherence to EUSOMA recommendations requires improved data explicitation and standardized reporting by multidisciplinary teams (MDTs).
Area of Science:
- Oncology
- Medical Informatics
- Clinical Guidelines
Background:
- European Society of Medical Oncology (EUSOMA) guidelines emphasize comprehensive patient information.
- Guideline-based clinical decision trees (CDTs) can support patient communication in diagnostic and therapeutic pathways.
- The Dutch breast cancer guideline has been adapted into CDTs for clinical use.
Purpose of the Study:
- To evaluate the availability of patient data required for CDTs at the time of multidisciplinary team (MDT) meetings.
- To assess the extent to which treatment alternatives are reported in clinical practice.
- To determine adherence to EUSOMA recommendations regarding patient information in breast cancer care.
Main Methods:
- Retrospective analysis of 394 non-metastatic breast cancer patient records (2012-2015).
- Evaluation of four pivotal CDTs: MRI indication, preoperative systemic treatment, adjuvant systemic treatment, and immediate breast reconstruction.
- Two researchers assessed data availability and reporting of treatment alternatives in MDT meetings.
Main Results:
- Data availability for CDTs varied significantly: 70% for MRI indication, 13% for preoperative treatment, 97% for adjuvant treatment, and 13% for breast reconstruction.
- Key underreported data items included clinical M-stage (87%) and assessable mammography (28%).
- MDTs reported treatment alternatives in only 32% of primary treatment cases and 28% of breast reconstruction cases.
Conclusions:
- There is a low availability of essential patient data for guideline-based recommendations and underreporting of treatment alternatives within CDTs.
- MDTs need to explicate implicitly known information and adhere to clear data-item definitions to meet EUSOMA requirements.
- Improving data completeness and reporting of treatment options is crucial for enhancing patient information in breast cancer care.
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