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Evaluating the quality of supportive oncology using patient-reported data
Sydney M Dy1, Anne M Walling2, Jennifer W Mack2
1Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; University of California, Los Angeles; Veterans Health Administration of Greater Los Angeles, Los Angeles, CA; and Dana-Farber Cancer Institute, Boston, MA sdy@jhsph.edu.
Journal of Oncology Practice
|March 13, 2014
Summary
Patient self-reported data offers a patient-centered view of supportive oncology care quality, revealing higher quality metrics for symptom management compared to medical records alone. This approach enhances quality measurement in cancer care.
Area of Science:
- Oncology
- Health Services Research
- Patient-Reported Outcomes
Background:
- Patient-reported data (PRD) are crucial for assessing oncology quality measurement.
- Supportive oncology domains require robust quality indicators.
- Existing quality measures often rely on medical record data.
Purpose of the Study:
- To evaluate the application of PRD from a national study to quality indicators in supportive oncology.
- To compare PRD with medical record data for quality measurement.
Main Methods:
- Analysis of surveys from 4,174 newly diagnosed lung and colorectal cancer patients.
- Adaptation of supportive oncology indicators for PRD using Cancer Quality-ASSIST and ASCO QOPI.
- Comparison of PRD-based indicators with medical record data where feasible.
Main Results:
- PRD indicated higher patient adherence to symptom screening (74%-93%) and treatment (73%-99%) criteria compared to medical records (4%-23%).
- Care planning indicators showed varying results: 44% for resuscitation and 32% for hospice discussion via survey data.
- Medical record data revealed 11% for goals-of-care and 46% for palliative care referral.
Conclusions:
- Quality of supportive oncology care for symptoms is perceived higher through patient self-report than medical records.
- PRD and medical record data offer complementary, distinct perspectives on care planning quality.
- PRD provide a valuable, patient-centered viewpoint for oncology quality assessment.
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