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.
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.
复制标题
DOI:
10.1007/s11136-010-9636-2
复制
发表时间:
2010-08
期刊:
影响因子:
--
通讯作者:
Wu AW
中科院分区:
文献类型:
--
作者:
Snyder CF;Blackford AL;Brahmer JR;Carducci MA;Pili R;Stearns V;Wolff AC;Dy SM;Wu AW
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. Needs assessments can identify HRQOL scores requiring clinicians’ attention. Future research should confirm these findings using other HRQOL questionnaires and needs assessments.
登录
查看更多内容
影响因子:
3.5
作者:
Donaldson, Gary W.;Nakamura, Yoshio;Moinpour, Carol
通讯作者:
Moinpour, Carol
影响因子:
3.5
作者:
Snyder, Claire F.;Garrett-Mayer, Elizabeth;Wu, Albert W.
通讯作者:
Wu, Albert W.
影响因子:
3.5
作者:
Snyder, Claire F.;Garrett-Mayer, Elizabeth;Wu, Albert W.
通讯作者:
Wu, Albert W.
影响因子:
45.3
作者:
Velikova, G;Booth, L;Selby, PJ
通讯作者:
Selby, PJ
影响因子:
6.2
作者:
Bonevski, B;Sanson-Fisher, R;Boyes, A
通讯作者:
Boyes, A