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One-minute time interval estimation as a novel potent indicator of emotional concerns in cancer patients prior to starting chemotherapy

  • Ivan Shterev DonevEmail author
  • Dragomir Svetozarov Stoyanov
  • Teodorika Vitalinova Panayotova
  • Martina Stoyanova Ivanova
  • Yavor Kostadinov Kashlov
  • Merlin Erol Efraim
  • Nikolay Vladimirov Conev
Article
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Abstract

Our study explored the potential relationship between time estimation and issues that lead to distress in cancer patients prior to starting chemotherapy. Time estimation was assessed in 375 chemonaïve patients with solid tumors by evaluating each subject’s prospective estimation of how quickly one minute passed compared to the actual time. The median estimated value (40 s) was used to stratify the patients into the two categories of fast and slow time estimation. The National Comprehensive Cancer Network Distress Thermometer (DT) and Problem List (PL) were used at the beginning of treatment to evaluate levels of distress and patient concerns. A fast time estimation correlated significantly with gender and items reported in the emotional domain on the PL. Females exhibited significantly faster time estimation than males. Patients who reported fear, worry and loss of interest in usual activities estimated the one-minute interval significantly faster than patients who did not report such items. In the multivariate logistic regression model, patients who experienced fast time estimation had a higher risk of reporting items in the emotional domain. Time estimation is a novel potent indicator of emotional concerns on the PL. This test is an easily performed, time-saving, nonintrusive, ultrashort screening tool that is suitable even for patients who are not willing to reveal their emotional status via direct questionnaires.

Keywords

Time estimation Problem list Screening Emotional concern Cancer 

Notes

Compliance with Ethical Standards

Ethical Approval

“All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.”

Informed Consent

For this type of study, formal informed consent documentation was not required. Verbal consent was obtained.

Conflict of Interest

The authors declare that they have no conflicts of interest.

References

  1. Baum, S. K., Boxley, R. L., & Sokolowski, M. (1984). Time perception and psychological well-being in the elderly. Psychiatric Quarterly, 56(1), 54–61.Google Scholar
  2. Bellè, M., Muzzatti, B., Tomas, M., & Gherlinzoni, F. (2016). Psychological screening of onco-hematologic inpatients: Distress thermometer administration. Tumori Journal, 102(2), 178–183.Google Scholar
  3. Brown, S. W., & Stubbs, D. A. (1988). The psychophysics of retrospective and prospective timing. Perception, 17(3), 297–310.Google Scholar
  4. Bruss, F. T., & Rüschendorf, L. (2010). On the perception of time. Gerontology, 56(4), 361–370.Google Scholar
  5. Conev, N. V., Donev, I. S., & Stoyanov, D. S. (2019). One-minute time interval estimation as a novel ultrashort tool for distress screening. Supportive Care in Cancer, 27(6), 2031–2037.Google Scholar
  6. Essen, L. V., Larsson, G., Öberg, K., & Sjödén, P. O. (2002). ‘Satisfaction with care’: Associations with health-related quality of life and psychosocial function among Swedish patients with endocrine gastrointestinal tumours. European Journal of Cancer Care, 11(2), 91–99.Google Scholar
  7. Fallowfield, L., Ratcliffe, D., Jenkins, V., & Saul, J. (2001). Psychiatric morbidity and its recognition by doctors in patients with cancer. British Journal of Cancer, 84(8), 1011–1015.Google Scholar
  8. Fisch, M. (2004). Treatment of depression in cancer. JNCI Monographs, 2004(32), 105–111.Google Scholar
  9. Foley, H., & Matlin, M. (2015). Sensation and perception. Psychology press.Google Scholar
  10. Fraisse, P. (1984). Perception and estimation of time. Annual Review of Psychology, 35(1), 1–37.Google Scholar
  11. Funk, R., Cisneros, C., Williams, R. C., Kendall, J., & Hamann, H. A. (2016). What happens after distress screening? Patterns of supportive care service utilization among oncology patients identified through a systematic screening protocol. Supportive Care in Cancer, 24(7), 2861–2868.Google Scholar
  12. Hegel, M. T., Moore, C. P., Collins, E. D., Kearing, S., Gillock, K. L., Riggs, R. L., Clay, K. F., & Ahles, T. A. (2006). Distress, psychiatric syndromes, and impairment of function in women with newly diagnosed breast cancer. Cancer, 107(12), 2924–2931.Google Scholar
  13. Herschbach, P., Keller, M., Knight, L., Brandl, T., Huber, B., Henrich, G., & Marten-Mittag, B. (2004). Psychological problems of cancer patients: A cancer distress screening with a cancer-specific questionnaire. British Journal of Cancer, 91(3), 504–511.Google Scholar
  14. Holland, J. C. (1997). Preliminary guidelines for the treatment of distress. Oncology (Williston Park, NY), 11(11A), 109–114.Google Scholar
  15. Jacobs, J. M., Pensak, N. A., Sporn, N. J., MacDonald, J. J., Lennes, I. T., Safren, S. A., Pirl, W. F., Temel, J. S., & Greer, J. A. (2017). Treatment satisfaction and adherence to oral chemotherapy in patients with cancer. Journal of Oncology Practice, 13(5), e474–e485.Google Scholar
  16. Jacobsen, P. B., Donovan, K. A., Trask, P. C., Fleishman, S. B., Zabora, J., Baker, F., & Holland, J. C. (2005). Screening for psychologic distress in ambulatory cancer patients: A multicenter evaluation of the distress thermometer. Cancer, 103(7), 1494–1502.Google Scholar
  17. Kennard, B. D., Stewart, S. M., Olvera, R., Bawdon, R. E., Lewis, C. P., & Winick, N. J. (2004). Nonadherence in adolescent oncology patients: Preliminary data on psychological risk factors and relationships to outcome. Journal of Clinical Psychology in Medical Settings, 11(1), 31–39.Google Scholar
  18. McGregor, B. A., & Antoni, M. H. (2009). Psychological intervention and health outcomes among women treated for breast cancer: A review of stress pathways and biological mediators. Brain, Behavior, and Immunity, 23(2), 159–166.Google Scholar
  19. Mehnert, A., Hartung, T. J., Friedrich, M., Vehling, S., Brähler, E., Härter, M., et al. (2018). One in two cancer patients is significantly distressed: Prevalence and indicators of distress. Psycho-oncology, 27(1), 75–82.Google Scholar
  20. Mitchell, A. J. (2010). Short screening tools for cancer-related distress: A review and diagnostic validity meta-analysis. Journal of the National Comprehensive Cancer Network, 8(4), 487–494.Google Scholar
  21. Mitchell, A. J., Chan, M., Bhatti, H., Halton, M., Grassi, L., Johansen, C., & Meader, N. (2011). Prevalence of depression, anxiety, and adjustment disorder in oncological, haematological, and palliative-care settings: A meta-analysis of 94 interview-based studies. The Lancet Oncology, 12(2), 160–174.Google Scholar
  22. National Comprehensive Cancer Network. (2019). Distress Management (Version 3.2019). https://www.nccn.org/professionals/physician_gls/pdf/distress.pdf. Accessed June 9 2019.
  23. Newell, S. A., Sanson-Fisher, R. W., & Savolainen, N. J. (2002). Systematic review of psychological therapies for cancer patients: Overview and recommendations for future research. Journal of the National Cancer Institute, 94(8), 558–584.Google Scholar
  24. Peduzzi, P., Concato, J., Kemper, E., Holford, T. R., & Feinstein, A. R. (1996). A simulation study of the number of events per variable in logistic regression analysis. Journal of Clinical Epidemiology, 49(12), 1373–1379.Google Scholar
  25. Skarstein, J., Aass, N., Fosså, S. D., Skovlund, E., & Dahl, A. A. (2000). Anxiety and depression in cancer patients: Relation between the hospital anxiety and depression scale and the European Organization for Research and Treatment of Cancer Core quality of life questionnaire. Journal of Psychosomatic Research, 49(1), 27–34.Google Scholar
  26. Smith, H. R. (2015). Depression in cancer patients: Pathogenesis, implications and treatment. Oncology Letters, 9(4), 1509–1514.Google Scholar
  27. Steele, R., & Fitch, M. I. (2008). Why patients with lung cancer do not want help with some needs. Supportive Care in Cancer, 16(3), 251–259.Google Scholar
  28. Tuinman, M. A., Gazendam-Donofrio, S. M., & Hoekstra-Weebers, J. E. (2008). Screening and referral for psychosocial distress in oncologic practice: Use of the distress thermometer. Cancer: Interdisciplinary International Journal of the American Cancer Society, 113(4), 870–878.Google Scholar
  29. van Laarhoven, H. W., Schilderman, J., Verhagen, C. A., & Prins, J. B. (2011). Time perception of cancer patients without evidence of disease and advanced cancer patients in a palliative, end-of-life-care setting. Cancer Nursing, 34(6), 453–463.Google Scholar
  30. VanHoose, L., Black, L. L., Doty, K., Sabata, D., Twumasi-Ankrah, P., Taylor, S., & Johnson, R. (2015). An analysis of the distress thermometer problem list and distress in patients with cancer. Supportive Care in Cancer, 23(5), 1225–1232.Google Scholar
  31. Wearden, J. H. (2004). Decision processes in models of timing. Acta Neurobiologiae Experimentalis, 64(3), 303–318.Google Scholar
  32. Wittmann, M., & Lehnhoff, S. (2005). Age effects in perception of time. Psychological Reports, 97(3), 921–935.Google Scholar
  33. Zabora, J., BrintzenhofeSzoc, K., Curbow, B., Hooker, C., & Piantadosi, S. (2001). The prevalence of psychological distress by cancer site. Psycho-oncology, 10(1), 19–28.Google Scholar
  34. Zakay, D. (1990). The evasive art of subjective time measurement: Some methodological dilemmas.Google Scholar
  35. Zakay, D., & Block, R. A. (1997). Temporal cognition. Current Directions in Psychological Science, 6(1), 12–16.Google Scholar
  36. Ziegler, L., Hill, K., Neilly, L., Bennett, M. I., Higginson, I. J., Murray, S. A., et al. (2011). Identifying psychological distress at key stages of the cancer illness trajectory: A systematic review of validated self-report measures. Journal of Pain and Symptom Management, 41(3), 619–636.Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Ivan Shterev Donev
    • 1
    Email author
  • Dragomir Svetozarov Stoyanov
    • 2
    • 3
  • Teodorika Vitalinova Panayotova
    • 2
    • 3
  • Martina Stoyanova Ivanova
    • 2
    • 4
  • Yavor Kostadinov Kashlov
    • 3
  • Merlin Erol Efraim
    • 5
  • Nikolay Vladimirov Conev
    • 2
    • 3
  1. 1.Clinic of Medical Oncology, MHAT “Nadezhda,”SofiaBulgaria
  2. 2.Clinic of Medical OncologyUMHAT “St. Marina,”VarnaBulgaria
  3. 3.Department of Propedeutics of Internal DiseasesMedical University of VarnaVarnaBulgaria
  4. 4.Department of Nursing CareMedical University of VarnaVarnaBulgaria
  5. 5.Department of Internal MedicineMedical University of VarnaVarnaBulgaria

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