Evidence map›Paper›PMID 37991142›Full record

ArticleActa obstetricia et gynecologica Scandinavica2024

Self-reported distress and problems after treatment for gynecological cancer - Correlation between a short screening tool and longer measures of anxiety/depression and health-related quality of life.

Tone Skaali, Rune Blomhoff, Kristina Lindemann, Sigbjørn Smeland, Kjersti Bruheim, Mette Seland, Lene Thorsen

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Article in Acta obstetricia et gynecologica Scandinavica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Tone SkaaliDepartment of Clinical Service, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway.ORCID 0000-0002-8974-4764
Rune BlomhoffDepartment of Clinical Service, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway.
Kristina LindemannDepartment of Gynecologic Cancer, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway.
Sigbjørn SmelandInstitute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
Kjersti BruheimDepartment of Oncology, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway.
Mette SelandDepartment of Clinical Service, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway.ORCID 0000-0001-9215-9008
Lene ThorsenDepartment of Clinical Service, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe National Comprehensive Cancer Network (NCCN) distress thermometer and problem list (DTPL) is a brief self-report screening measure for use in follow-up cancer care. The aims of this study were to explore the correlations between scores on the DTPL and scores on longer measures of anxiety/depression and health-related quality of life among women treated for gynecological cancer, and to define a cutoff score on the DT representing high levels of psychological distress in this patient group. MATERIAL AND

methodsDuring outpatient visits, 144 women filled in the DTPL, the Hospital Anxiety and Depression Scale (HADS) and the RAND-36-Item Short Form Health Survey (RAND-36) between October 2019 and March 2020. We assessed the agreement between the DT-scores and the HADS scores, explored variables associated with high levels of distress on the DT, and studied the associations between DTPL-scores and scores of health-related quality of life (HRQoL) from RAND-36.

resultsIn receiver operating characteristic curve analysis between the distress score from the DT and a HADS total score ≥15 (defining high levels of anxiety/depression symptoms), the area under the curve was 0.81 (95% CI: 0.74-0.89). Using a cutoff of ≥5 on the DT (scale 0-10), we found a balanced level of sensitivity (81%) and specificity (71%) towards a HADS total score of ≥15. The scores of distress and problems reported on the DTPL correlated significantly with the majority of HRQoL function scales from RAND-36.

conclusionsThe NCCN DTPL can be used as a screening measure for self-reported distress and problems after treatment for gynecological cancer. A score of ≥5 on DT may indicate high level of anxiety/depression as measured by HADS. The tool may help identify patients in need of referral to supportive care and rehabilitation facilities.

Indexed as

DepressionNeoplasmsAnxietyEarly Detection of CancerFemaleHumansMass ScreeningPsychometricsQuality of LifeSelf ReportStress, PsychologicalSurveys and Questionnairesdistress thermometer aftercaregynecological neoplasmshealth-related quality of lifepsychological distresspsychometrics

Identifiers

PMID37991142
PMCPMC10823398

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.