Anxiety and mood (대한불안의학회지)

Korean Academy of Anxiety Disorders (대한불안의학회)
권호 표지

Pilot Study of Measuring Daily Quality of Life in Breast Cancer Patients Through Mobile Application

모바일 응용프로그램을 이용한 유방암 환자의 삶의 질 측정 초기연구

  • Youn, So Young (Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Lee, Jong Won (Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Jung, Kyung Hae (Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Kim, Jeong Eun (Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Lee, Jae-Ho (Department of Emergency, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Lee, Guna (Medical Information Administration Team, Asan Medical Center) ;
  • Ahn, Sei Hyun (Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Shin, Yong-Wook (Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine)
  • 윤소영 (울산대학교 의과대학 서울아산병원 정신건강의학교실) ;
  • 이종원 (울산대학교 의과대학 서울아산병원 외과학교실) ;
  • 정경해 (울산대학교 의과대학 서울아산병원 종양내과) ;
  • 김정은 (울산대학교 의과대학 서울아산병원 종양내과) ;
  • 이재호 (울산대학교 의과대학 서울아산병원 응급의학과) ;
  • 이건아 (서울아산병원 의료정보관리팀) ;
  • 안세현 (울산대학교 의과대학 서울아산병원 외과학교실) ;
  • 신용욱 (울산대학교 의과대학 서울아산병원 정신건강의학교실)
  • Received : 2013.09.09
  • Accepted : 2013.10.16
  • Published : 2013.10.31
Download PDF
⟨ Previous Next ⟩

Abstract

Objective : As treatments for breast cancer require long period of time, the patients need continuous monitoring and management of their health related quality of life. The purpose of this preliminary study is to explore the utility of monitoring quality of life using a mobile phone based application, which was developed to enable the patients to report daily quality of life more efficiently. Methods : Department of psychiatry, breast cancer center and U-health team of Asan Medical Center collaborated in developing a mobile application titled 'DugunDugun'. Through the application, patients with breast cancer receiving neo-adjuvant chemotherapy could report on various questions about their daily quality of life. We extracted and explored the daily basis of the data of sleep duration, number of awake, sleep satisfaction, mood and anxiety from nine patients who reported on the questionnaire for more than a month. Results : The longitudinal data collected using our mobile application well represented the characteristics of individual sleep patterns and daily emotional changes. Most of the patients showed high daily variations in the scores of their quality of life while their averaged scores were similar among patients. The patient with highest daily variations in the subjective sleep quality and daily emotional change had highest score corresponding to moderate depression in Beck Depression Inventory (BDI). Conclusion : The results suggest that mobile application could be a useful tool for monitoring and collecting the daily quality of life in the patients with breast cancer. We expect that mobile application could facilitate early detection and proper intervention for the cancer patients at psychological crisis.

Keywords

References

  1. Ford S, Lewis S, Fallowfield L. Psychological morbidity in newly referred patients with cancer. J Psychosom Res 1995;39:193-202. https://doi.org/10.1016/0022-3999(94)00103-C
  2. Maunsell E, Brisson J, Deschenes L, Frasure-Smith N. Randomized trial of a psychologic distress screening program after breast cancer: effects on quality of life. J Clin Oncol 1996;14:2747-2755. https://doi.org/10.1200/JCO.1996.14.10.2747
  3. Brown KW, Levy AR, Rosberger Z, Edgar L. Psychological distress and cancer survival: a follow-up 10 years after diagnosis. Psychosom Med 2003;65:636-643. https://doi.org/10.1097/01.PSY.0000077503.96903.A6
  4. Andersen BL. Psychological interventions for cancer patients to enhance the quality of life. J Consult Clin Psychol 1992;60:552-568. https://doi.org/10.1037/0022-006X.60.4.552
  5. Scharf SM, Maimon N, Simon-Tuval T, Bernhard-Scharf BJ, Reuveni H, Tarasiuk A. Sleep quality predicts quality of life in chronic obstructive pulmonary disease. Int J Chron Obstruct Pulmon Dis 2011; 6:1-12.
  6. Redeker NS, Ruggiero JS, Hedges C. Sleep is related to physical func-tion and emotional well-being after cardiac surgery. Nurs Res 2004; 53:154-162. https://doi.org/10.1097/00006199-200405000-00002
  7. Fortner BV, Stepanski EJ, Wang SC, Kasprowicz S, Durrence HH. Sleep and quality of life in breast cancer patients. J Pain Symptom Manage 2002;24:471-480. https://doi.org/10.1016/S0885-3924(02)00500-6
  8. Palesh OG, Roscoe JA, Mustian KM, Roth T, Savard J, Ancoli-Israel S, et al. Prevalence, demographics, and psychological associations of sleep disruption in patients with cancer: University of Rochester Cancer Center-Community Clinical Oncology Program. J Clin Oncol 2010;28:292-298. https://doi.org/10.1200/JCO.2009.22.5011
  9. Berger AM, Farr LA, Kuhn BR, Fischer P, Agrawal S. Values of sleep/ wake, activity/rest, circadian rhythms, and fatigue prior to adjuvant breast cancer chemotherapy. J Pain Symptom Manage 2007;33:398-409. https://doi.org/10.1016/j.jpainsymman.2006.09.022
  10. Liu L, Fiorentino L, Natarajan L, Parker BA, Mills PJ, Sadler GR, et al. Pre-treatment symptom cluster in breast cancer patients is associated with worse sleep, fatigue and depression during chemotherapy. Psychooncology 2009;18:187-194. https://doi.org/10.1002/pon.1412
  11. Savard J, Liu L, Natarajan L, Rissling MB, Neikrug AB, He F, et al. Breast cancer patients have progressively impaired sleep-wake activity rhythms during chemotherapy. Sleep 2009;32:1155-1160. https://doi.org/10.1093/sleep/32.9.1155
  12. Knobf MT, Sun Y. A longitudinal study of symptoms and self-care activities in women treated with primary radiotherapy for breast cancer. Cancer Nurs 2005;28:210-218.
  13. Otte JL, Carpenter JS, Russell KM, Bigatti S, Champion VL. Prevalence, severity, and correlates of sleep-wake disturbances in long-term breast cancer survivors. J Pain Symptom Manage 2010;39:535-547. https://doi.org/10.1016/j.jpainsymman.2009.07.004
  14. Bianchi MT, Williams KL, McKinney S, Ellenbogen JM. The subjective-objective mismatch in sleep perception among those with insomnia and sleep apnea. J Sleep Res;2013.
  15. Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J. An inventory for measuring depression. Arch Gen Psychiatry 1961;4:561-571. https://doi.org/10.1001/archpsyc.1961.01710120031004
  16. Hahn HM, Yum TH, Shin YW, Kim KH, Yun DJ, Jung KJ. A standardization study of Beck Depression Inventory in Korea. J Korean Neuro-psychiatr Assoc 1986;25:487-500.
  17. Ell K, Unutzer J, Aranda M, Sanchez K, Lee PJ. Routine PHQ-9 depression screening in home health care: depression, prevalence, clinical and treatment characteristics and screening implementation. Home Health Care Serv Q 2005;24:1-19.
  18. Klasnja P, Hartzler A, Powell C, Pratt W. Supporting cancer patients' unanchored health information management with mobile technology. AMIA Annu Symp Proc 2011;2011:732-741.