#PAGE_PARAMS# #ADS_HEAD_SCRIPTS# #MICRODATA#

How well do cancer survivor self-classifications of anxiety, depression and stress agree with a standardised tool? Results of a cross-sectional study


Autoři: Mariko Carey aff001;  Jamie Bryant aff001;  Alison Zucca aff001;  Alix Hall aff001;  Alice Grady aff002;  Sophie Dilworth aff001;  Kerry Peek aff002
Působiště autorů: Health Behaviour Research Collaborative, School of Medicine and Public Health, Faculty of Health and Medicine, University of Newcastle, Callaghan, NSW, Australia aff001;  Priority Research Centre for Health Behaviour, University of Newcastle, Callaghan, NSW, Australia aff002;  Hunter Medical Research Institute, New Lambton Heights, NSW, Australia aff003;  Hunter New England Local Health District, Population Health, Wallsend, NSW, Australia aff004
Vyšlo v časopise: PLoS ONE 14(9)
Kategorie: Research Article
doi: https://doi.org/10.1371/journal.pone.0222107

Souhrn

Background

There is poor uptake of psychosocial interventions offered to people with cancer who record high scores on distress screening scales. Intervention uptake may be influenced by a mismatch between consumer (bottom-up) and professional (top-down) paradigms of wellbeing. The current research aims to compare cancer survivors’ ‘self-judgements’ about their levels of anxiety, depression and stress, to classifications derived via a professional-driven measure, the Depression, Anxiety and Stress Scale (DASS-21).

Methods

A cross-sectional study was undertaken with haematological cancer survivors recruited from three population-based cancer registries in Australia. Consenting participants were mailed a questionnaire package; and non-responders received a second questionnaire package after 3-weeks and a reminder call after 6-weeks. The consumer-driven perspective was assessed via three separate single items asking survivors to self-classify their levels of anxiety, depression and stress over the past week on a scale from ‘normal’ to ‘extremely severe’. The professional-driven classification was assessed via the DASS-21. Kappa statistics were used to assess agreement between consumer- and professional-driven measures.

Results

Of 2,971 eligible haematological cancer survivors, 1,239 (42%) provided written consent and were mailed a questionnaire package. Of these, 984 (79%) returned a completed questionnaire. The simple kappa for agreement between the DASS-21 and self-classified measures for anxiety was 0.47 (95% CI: 0.39 to 0.54, p<0.0001). The weighted kappa for agreement between the DASS-21 and self-classified measures of depression was 0.60 (95% CI: 0.53 to 0.67, p<0.0001) and for measures of stress was 0.51 (95% CI: 0.44 to 0.59, p<0.0001).

Conclusions

Moderate agreement between self-classification and professional-driven assessments was found. The value of screening is predicated on the assumption that those with identified needs will be offered and take up services that will benefit them. Our results suggest that to improve the utility of distress screening it may be important to include assessment of survivor views about their symptoms.

Klíčová slova:

Medicine and health sciences – Mental health and psychiatry – Mood disorders – Depression – Hematology – Health care – Health services research – Psychological and psychosocial issues – Diagnostic medicine – Cancer detection and diagnosis – Oncology – Cancer treatment – Biology and life sciences – Psychology – Emotions – Anxiety – Social sciences – Psychological stress


Zdroje

1. Carlson LE, Waller A, Mitchell AJ. Screening for distress and unmet needs in patients with cancer: review and recommendations. Journal of Clinical Oncology. 2012;30(11):1160–77. doi: 10.1200/JCO.2011.39.5509 22412146

2. Meijer A, Roseman M, Delisle VC, Milette K, Levis B, Syamchandra A, et al. Effects of screening for psychological distress on patient outcomes in cancer: a systematic review. Journal of Psychosomatic Research. 2013;75(1):1–17. doi: 10.1016/j.jpsychores.2013.01.012 23751231

3. Mitchell AJ. Screening for cancer-related distress: when is implementation successful and when is it unsuccessful? Acta Oncologica. 2013;52(2):216–24. doi: 10.3109/0284186X.2012.745949 23320770

4. Maunsell E, Brisson J, Deschênes L, Frasure-Smith N. Randomized trial of a psychologic distress screening program after breast cancer: effects on quality of life. Journal of Clinical Oncology. 1996;14(10):2747–55. doi: 10.1200/JCO.1996.14.10.2747 8874336

5. Clover KA, Mitchell AJ, Britton B, Carter G. Why do oncology outpatients who report emotional distress decline help? Psycho‐Oncology. 2015;24(7):812–8. doi: 10.1002/pon.3729 25504987

6. Faller H, Weis J, Koch U, Brähler E, Härter M, Keller M, et al. Perceived need for psychosocial support depending on emotional distress and mental comorbidity in men and women with cancer. Journal of psychosomatic research. 2016;81:24–30. doi: 10.1016/j.jpsychores.2015.12.004 26800635

7. Tuinman MA, Gazendam‐Donofrio SM, Hoekstra‐Weebers JE. Screening and referral for psychosocial distress in oncologic practice. Cancer. 2008;113(4):870–8. doi: 10.1002/cncr.23622 18618581

8. McLachlan S-A, Allenby A, Matthews J, Wirth A, Kissane D, Bishop M, et al. Randomized trial of coordinated psychosocial interventions based on patient self-assessments versus standard care to improve the psychosocial functioning of patients with cancer. Journal of Clinical Oncology. 2001;19(21):4117–25. doi: 10.1200/JCO.2001.19.21.4117 11689579

9. Dilworth S, Higgins I, Parker V, Kelly B, Turner J. Patient and health professional's perceived barriers to the delivery of psychosocial care to adults with cancer: a systematic review. Psycho‐Oncology. 2014;23(6):601–12. doi: 10.1002/pon.3474 24519814

10. Paul C, Sanson‐Fisher R, Carey M. Measuring psychosocial outcomes: is the consumer or the professional the best judge? European Journal of Cancer Care. 2013;22(3):281–8. doi: 10.1111/ecc.12048 23431992

11. Salmon P, Clark L, McGrath E, Fisher P. Screening for psychological distress in cancer: renewing the research agenda. Psycho‐Oncology. 2015;24(3):262–8. doi: 10.1002/pon.3640 25082459

12. Mackenzie L, Carey ML, Sanson-Fisher RW, D'este C, Paul CL, Yoong SL. Agreement between HADS classifications and single-item screening questions for anxiety and depression: a cross-sectional survey of cancer patients. Annals of oncology. 2014;25(4):889–95. doi: 10.1093/annonc/mdu023 24667721

13. Teunissen S, De Graeff A, Voest E, de Haes J. Are anxiety and depressed mood related to physical symptom burden? A study in hospitalized advanced cancer patients. Palliat Med. 2007;21(4):341–6. doi: 10.1177/0269216307079067 17656411

14. Turon H, Carey M, Boyes A, Hobden B, Dilworth S, Sanson-Fisher R. Agreement between a single-item measure of anxiety and depression and the Hospital Anxiety and Depression Scale: A cross-sectional study. 2019;14(1):e0210111.

15. Lovibond SH, PF L. Manual for the Depression Anxiety Stress Scales, 2nd edn. Sydney: Psychology Foundation Monograph; 1995.

16. Hall AE, Sanson-Fisher RW, Carey ML, Paul C, Williamson A, Bradstock K, et al. Prevalence and associates of psychological distress in haematological cancer survivors. Support Care Cancer. 2016;24(10):4413–22. doi: 10.1007/s00520-016-3282-3 27245984

17. Denlinger CS, Carlson RW, Are M, Baker KS, Davis E, Edge SB, et al. Survivorship: introduction and definition. JNCCN. 2014;12(1):34–45. 24453291

18. Australian Bureau of Statistics. Australian Statistical Geography Standard (ASGS): volume 5—remoteness structure. ABS Catalogue No. 1270.0.55.005. Canberra: ABS, 2013.

19. Antony MM, Bieling PJ, Cox BJ, Enns MW, Swinson RP. Psychometric properties of the 42-item and 21-item versions of the Depression Anxiety Stress Scales in clinical groups and a community sample. Psychol Assessment. 1998;10(2):176.

20. Clara IP, Cox BJ, Enns MW. Confirmatory factor analysis of the Depression–Anxiety–Stress Scales in depressed and anxious patients. J Psychopathol Behav Assess. 2001;23(1):61–7.

21. Henry JD, Crawford JR. The short‐form version of the Depression Anxiety Stress Scales (DASS‐21): Construct validity and normative data in a large non‐clinical sample. Br J Clin Psychol. 2005;44(2):227–39.

22. Holland JC, Lewis S. The human side of cancer: Living with hope, coping with uncertainty: HarperCollins New York; 2000.

23. Hammond CT, Beckjord EB, Arora NK, Bellizzi KM, Jeffery DD, Aziz NM. Non-Hodgkin's lymphoma survivors' fertility and sexual function-related information needs. Fertil Steril 2008;90(4):1256–8. doi: 10.1016/j.fertnstert.2007.08.081 18083170

24. Smith T, Stein KD, Mehta CC, Kaw C, Kepner JL, Buskirk T, et al. The rationale, design, and implementation of the American Cancer Society's studies of cancer survivors. Cancer. 2007;109(1):1–12. doi: 10.1002/cncr.22387 17146781


Článek vyšel v časopise

PLOS One


2019 Číslo 9
Nejčtenější tento týden
Nejčtenější v tomto čísle
Kurzy

Zvyšte si kvalifikaci online z pohodlí domova

plice
INSIGHTS from European Respiratory Congress
nový kurz

Současné pohledy na riziko v parodontologii
Autoři: MUDr. Ladislav Korábek, CSc., MBA

Svět praktické medicíny 3/2024 (znalostní test z časopisu)

Kardiologické projevy hypereozinofilií
Autoři: prof. MUDr. Petr Němec, Ph.D.

Střevní příprava před kolonoskopií
Autoři: MUDr. Klára Kmochová, Ph.D.

Všechny kurzy
Kurzy Podcasty Doporučená témata Časopisy
Přihlášení
Zapomenuté heslo

Zadejte e-mailovou adresu, se kterou jste vytvářel(a) účet, budou Vám na ni zaslány informace k nastavení nového hesla.

Přihlášení

Nemáte účet?  Registrujte se

#ADS_BOTTOM_SCRIPTS#