Needs assessments can identify scores on HRQOL questionnaires that represent problems for patients: an illustration with the Supportive Care Needs Survey and the QLQ-C30
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A barrier to using HRQOL questionnaires for individual patient management is knowing what score represents a problem deserving attention. We explored using needs assessments to identify HRQOL scores associated with patient-reported unmet needs.
This cross-sectional study included 117 cancer patients (mean age 61 years; 51% men; 77% white) who completed the Supportive Care Needs Survey (SCNS) and EORTC QLQ-C30. SCNS scores were dichotomized as “no unmet need” versus “some unmet need” and served as an external criterion for identifying problem scores. We evaluated the discriminative ability of QLQ-C30 scores using receiver operating characteristic (ROC) analysis. Domains with an area under the ROC curve (AUC) ≥ .70 were examined further to determine how well QLQ-C30 scores predicted presence/absence of unmet need.
We found AUCs ≥ .70 for 6 of 14 EORTC domains: physical, emotional, role, global QOL, pain, fatigue. All 6 domains had sensitivity ≥ .85 and specificity ≥ .50. EORTC domains that closely matched the content of SCNS item(s) were more likely to have AUCs ≥ .70. The appropriate cut-off depends on the relative importance of false positives and false negatives.
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- Needs assessments can identify scores on HRQOL questionnaires that represent problems for patients: an illustration with the Supportive Care Needs Survey and the QLQ-C30
Quality of Life Research
Volume 19, Issue 6 , pp 837-845
- Cover Date
- Print ISSN
- Online ISSN
- Springer Netherlands
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- Health-related quality of life
- Needs assessment
- Clinical practice
- Industry Sectors
- Author Affiliations
- 1. Johns Hopkins School of Medicine, 624 N. Broadway, Room 657, Baltimore, MD, 21205, USA
- 3. Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- 2. Johns Hopkins School of Medicine, Baltimore, MD, USA