Literature DB >> 20410338

Short screening tools for cancer-related distress: a review and diagnostic validity meta-analysis.

Alex J Mitchell1.   

Abstract

Clinicians are increasingly seeking efficient methods to identify distress in cancer settings, using short screening tools with fewer than 14 items that take less than 5 minutes to complete. This article examines the value of these tools for identifying cancer-related distress, defined by semi-structured interview. An updated search, appraisal, and meta-analysis, with adjustments made for heterogeneity and underlying prevalence variations, identified 45 potentially useful short and ultra-short tools, although most were intended to help diagnose depression, with few targeted at distress (or anxiety). Very few studies attempted robust validation in cancer settings. When studies were limited to those tested against distress defined by semi-structured interview, only 6 methods had been validated, namely the Hospital Anxiety and Depression Scale (HADS; 13 studies, 14 items), the Distress Thermometer (DT; 4 studies, 1 item), a single verbal question (4 studies, 1 item), the Psychological Distress Inventory (PDI; 1 study, 13 items), combined DT and an impact thermometer (1 study, 2 items), and combined 2 verbal questions (1 study, 2 items). Comparing these 6 approaches side-by-side suggests that for screening, all tools have approximately the same accuracy. Therefore, choice of a short screening tool for distress can be based on acceptability or cost-effectiveness. Here, best evidence supports use of the DT or single verbal question. Remarkably, the overall accuracy of these single-item approaches seems comparable to that of the 14-item HADS (total score), whereas their efficiency is superior. For case-finding, data are sparse but no method seems to be entirely satisfactory. Current evidence suggests that the optimal short methods for identifying distress are 2 verbal questions or PDI. Of these approaches, the 2 verbal questions has superior efficiency. All short methods may be augmented by repeated application, an assessment of unmet needs (problem list), and clarification regarding the need for professional help. No screening tool should be seen as an alternative to careful clinical assessment and management. Despite much interest in the development of short and ultra-short tools, data on validation and implementation are currently incomplete. Nevertheless, short methods seem to be at least as successful as the HADS, although substantially more efficient and hence more acceptable, and therefore may be a suitable initial method of assessment in busy clinical settings.

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Year:  2010        PMID: 20410338     DOI: 10.6004/jnccn.2010.0035

Source DB:  PubMed          Journal:  J Natl Compr Canc Netw        ISSN: 1540-1405            Impact factor:   11.908


  61 in total

1.  Using Screening for Distress, the sixth vital sign, to advance patient care with assessment and targeted interventions.

Authors:  Amy Waller; Sheila N Garland; Barry D Bultz
Journal:  Support Care Cancer       Date:  2012-06-07       Impact factor: 3.603

2.  Risk factors for cancer-related distress in colorectal cancer survivors: one year post surgery.

Authors:  Claire J Han; Biljana Gigic; Martin Schneider; Yakup Kulu; Anita R Peoples; Jennifer Ose; Torsten Kölsch; Paul B Jacobsen; Graham A Colditz; Jane C Figueiredo; William M Grady; Christopher I Li; David Shibata; Erin M Siegel; Adetunji T Toriola; Alexis B Ulrich; Karen L Syrjala; Cornelia M Ulrich
Journal:  J Cancer Surviv       Date:  2020-03-12       Impact factor: 4.442

3.  The distress thermometer as a prognostic tool for one-year survival among patients with lung cancer.

Authors:  O P Geerse; D Brandenbarg; H A M Kerstjens; A J Berendsen; S F A Duijts; H Burger; G A Holtman; J E H M Hoekstra-Weebers; T J N Hiltermann
Journal:  Lung Cancer       Date:  2019-02-10       Impact factor: 5.705

4.  Removing the stress from selecting instruments: arming social workers to take leadership in routine distress screening implementation.

Authors:  Elizabeth A Rohan
Journal:  J Psychosoc Oncol       Date:  2012

5.  Using formative evaluation to plan for electronic psychosocial screening in pediatric oncology.

Authors:  Jordan Gilleland Marchak; Sean N Halpin; Cam Escoffery; Shadé Owolabi; Ann C Mertens; Karen Wasilewski-Masker
Journal:  Psychooncology       Date:  2020-10-20       Impact factor: 3.894

6.  Patterns and predictors of antidepressant use in ambulatory cancer patients with common solid tumors.

Authors:  Michael J Fisch; Fengmin Zhao; Judith Manola; Andrew H Miller; William F Pirl; Lynne I Wagner
Journal:  Psychooncology       Date:  2014-06-14       Impact factor: 3.894

7.  Physical problem list accompanying the distress thermometer: Its associations with psychological symptoms and survival in patients with metastatic lung cancer.

Authors:  Daniel C McFarland; Devika R Jutagir; Andrew Miller; Christian Nelson
Journal:  Psychooncology       Date:  2020-03-11       Impact factor: 3.894

8.  Normative values for the distress thermometer (DT) and the emotion thermometers (ET), derived from a German general population sample.

Authors:  Andreas Hinz; Alex J Mitchell; Csaba L Dégi; Anja Mehnert-Theuerkauf
Journal:  Qual Life Res       Date:  2018-10-03       Impact factor: 4.147

9.  Cancer-Related Distress: Revisiting the Utility of the National Comprehensive Cancer Network Distress Thermometer Problem List in Women With Gynecologic Cancers.

Authors:  Patricia I Jewett; Deanna Teoh; Sue Petzel; Heewon Lee; Audrey Messelt; Jeffrey Kendall; Dorothy Hatsukami; Susan A Everson-Rose; Anne H Blaes; Rachel I Vogel
Journal:  JCO Oncol Pract       Date:  2020-02-24

10.  Effect of Intensive Chemotherapy on Physical, Cognitive, and Emotional Health of Older Adults with Acute Myeloid Leukemia.

Authors:  Heidi D Klepin; Janet A Tooze; Timothy S Pardee; Leslie R Ellis; Dmitriy Berenzon; Shannon L Mihalko; Suzanne C Danhauer; Arati V Rao; Tanya M Wildes; Jeff D Williamson; Bayard L Powell; Stephen B Kritchevsky
Journal:  J Am Geriatr Soc       Date:  2016-09-14       Impact factor: 5.562

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