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Abstract
Highlights
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- The M. D. Anderson Symptom Inventory (MDASI) assesses patient-reported symptoms.
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- We validated a MDASI module for use in patients with ovarian cancer (MDASI-OC).
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- The MDASI-OC is psychometrically valid, reliable, and sensitive to symptom change.
Objective
The
M. D. Anderson Symptom Inventory (MDASI) captures the severity of
common cancer symptoms from the patients’ perspective. We describe the
validity and sensitivity of a module of the MDASI to be used with
patients having ovarian cancer (MDASI-OC).
Methods
Ovarian
cancer–specific module items were developed from 14 qualitative patient
interviews. 128 patients with invasive epithelial ovarian, peritoneal,
or fallopian-tube cancer treated at MD Anderson Cancer Center were
recruited. Patients completed the MDASI-OC, socio-demographic
questionnaires, the Functional Assessment of Cancer Therapy-Ovary
(FACT-O), and a global quality-of-life (QOL) item. Reliability was
assessed using Cronbach α and sensitivity using known group was
assessed. Construct validity was tested using exploratory factor
analysis.
Results
The sample was
primarily white (85.2%), had a mean age of 57.5 years (± 12.7 years),
and had previously been treated with chemotherapy (75.0%) and/or surgery
(93.8%). Approximately 30% of patients reported disturbed sleep,
fatigue, or numbness/tingling of at least moderate severity (≥ 5 on a
0–10 scale). On the ovarian-cancer-specific symptoms, approximately 20%
reported back pain, feeling bloated, or constipation of at least
moderate severity. Factor analysis revealed six underlying constructs
(pain/sleep; cognitive; disease-related and numbness; treatment-related;
affective; gastrointestinal-specific). MDASI-OC symptom and
interference items had Cronbach α values of 0.90 and 0.89, respectively.
The MDASI-OC was sensitive to symptom severity by performance status
(p=0.009), QOL (p=0.002), and FACT-O scores (p<0.001).
Conclusions
The
27-item MDASI-OC meets common criteria for validation and reliability
and is sensitive to expected changes in symptoms related to differences
in disease and treatment status.
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