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Cited by 65Cancer survivorship and carePsychometric Methodologies and TestingAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

PROMIS depression measures perform similarly to legacy measures relative to a structured diagnostic interview for depression in cancer patients

Clover, Kerrie, Lambert, Sylvie D., Oldmeadow, Christopher, Britton, Benjamin, King, Madeleine T., Mitchell, Alex J., Carter, Gregory·2018·Quality of Life Research
DOI 10.1007/s11136-018-1803-x
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Abstract

Purpose To assess the convergent validity of the Patient-Reported Outcomes Measurement Information System (PROMIS) depression measures relative to legacy measures and criterion validity against a structured diagnostic interview for depression in an oncology sample.Methods 132 oncology/haematology outpatients completed the PROMIS Depression Computer Adaptive Test (PROMIS-D-CAT) and PROMIS Depression Short Form (PROMIS-D-SF) along with seven legacy measures: Beck Depression Inventory (BDI); Centre for Epidemiological Studies Depression (CES-D); Depression, Anxiety and Stress Scale; Hospital Anxiety and Depression Scale; Patient Health Questionnaire; Distress Thermometer and PSYCH-6. Correlations, area under the curve (AUC) and diagnostic accuracy statistics were calculated with Structured Clinical Interview as the gold standard.Results Both PROMIS measures correlated with all legacy measures at p < .001 (ρ = 0.589-0.810) and all AUCs (> 0.800) were comparable. At the cut-off points for mild depression of 53, the PROMIS measures had sensitivity (0.83 for PROMIS-D-CAT and 0.80 for PROMIS-D-SF) similar to or better than 6/7 legacy measures with high negative predictive value (> 90%). At cut-off points of 60 for moderate depression, PROMIS measures had specificity > 90%, similar to or better than all legacy measures and positive predictive value ≥ 0.50 (similar to 5/7 legacy measures).Conclusions The convergent and criterion validity of the PROMIS depression measures in cancer populations was confirmed, although the optimal cut-off points are not established. PROMIS measures were briefer than BDI-II and CES-D but do not offer any advance in terms of diagnostic accuracy, reduced response burden or cost over other legacy measures of depression in oncology patients.

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Authors
Clover, K., Lambert, S. D., Oldmeadow, C., Britton, B., King, M. T., Mitchell, A. J., & Carter, G.
Affiliations
  • Calvary Mater Newcastle Hospital (AU)
  • McGill University (CA)
  • Hunter Medical Research Institute (AU)
  • The University of Sydney (AU)
  • University of Leicester (GB)
Corresponding author
Clover, Kerrie
ORCID
Venue
Quality of Life Research
Publisher
Springer Science and Business Media LLC
Published
2018-02-08
Volume
27
Issue
5
Pages
1357-1367
ISSN
  • 0962-9343 (ISSN-L)
  • 1573-2649
DOI
10.1007/s11136-018-1803-x
OpenAlex
W2794218911
Cited by
65
References
31
Citations by year
2026: 6 · 2025: 8 · 2024: 7 · 2023: 7 · 2022: 11 · 2021: 8 · 2020: 12 · 2019: 4 · 2018: 2
FWCI
2.44
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)
Locations
  • Quality of Life Research (publishedVersion)
  • PubMed (publishedVersion)
  • NOVA (University of Newcastle Australia) (publishedVersion)
  • Figshare (submittedVersion)
  • NOVA (University of Newcastle Australia) (submittedVersion)
Funders
  • Calvary Mater Newcastle
  • Centre for Translational Neuroscience and Mental Health, University of Newcastle
  • Cancer Australia
Topics
  • Health Sciences › Medicine › Oncology › Cancer survivorship and care
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Keywords
cancer-related depression, convergent validity, criterion validity, diagnostic accuracy, cut-off values, Beck Depression Inventory, CES-D, computerized adaptive testing, patient-reported outcomes
MeSH terms
Depression, Female, Humans, Interview, Psychological, Male, Neoplasms, Quality of Life, Surveys and Questionnaires

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