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Related Concept Videos

Cancer Survival Analysis01:21

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Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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The Supportive Care sCore (SCC): trigger alert validation study in solid tumours.

Mathilde Chastenet1,2, Pierre-Antoine Laurain3, Julia Salleron4

  • 1Oncology, Hospital Foch, Suresnes, France chastenet.mathilde@gmail.com.

BMJ Supportive & Palliative Care
|April 23, 2021
PubMed
Summary
This summary is machine-generated.

The Supportive Care sCore (SCC) tool effectively identifies cancer patients' unmet supportive care needs, improving cancer care. This validated screening tool shows promise for routine clinical use.

Keywords:
cancerquality of lifesymptoms and symptom management

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Area of Science:

  • Oncology
  • Patient Care
  • Health Informatics

Background:

  • Patient needs are often underestimated in cancer care pathways.
  • A simple, accessible screening tool is needed to identify supportive care needs.
  • The Supportive Care sCore (SCC) was developed to flag key needs like pain, psychological distress, and physical or nutritional issues.

Purpose of the Study:

  • To develop and validate the Supportive Care sCore (SCC) tool.
  • To assess the SCC's ability to identify supportive care needs in cancer patients.
  • To evaluate the tool's acceptability and validity against established measures.

Main Methods:

  • The SCC, Edmonton Symptom Assessment System (ESAS), and EuroQol-5 Dimension (EQ-5D) were administered to 100 cancer patients.
  • Tool acceptability was measured by fill rates.
  • Validity was assessed by comparing SCC alerts with ESAS and EQ-5D scores.

Main Results:

  • The SCC demonstrated high acceptability with over 90% fill rate.
  • Patients identified by the SCC as needing support had significantly higher ESAS symptom scores (e.g., fatigue, appetite loss, depression) and poorer quality of life across EQ-5D domains.
  • Significant differences (p<0.05) were observed between patients with and without SCC alerts.

Conclusions:

  • The Supportive Care sCore (SCC) tool exhibits construct validity.
  • The SCC is a promising instrument for identifying supportive care needs in cancer patients.
  • This tool can potentially enhance the cancer care pathway by addressing underestimated patient needs.