Healthcare Informatics Research

  • 제24권4호
  • /
  • Pages.381-386
  • /
  • 2018
  • /
  • 2093-3681(pISSN)
  • /
  • 2093-369X(eISSN)
대한의료정보학회 (Korean Society of Medical Infomatics)
권호 표지
DOI QR코드

DOI QR Code

Ecological Momentary Assessment Using Smartphone-Based Mobile Application for Affect and Stress Assessment

  • Yang, Yong Sook (College of Nursing, Mo-Im Kim Nursing Research Institute, Yonsei University) ;
  • Ryu, Gi Wook (College of Nursing, Mo-Im Kim Nursing Research Institute, Yonsei University) ;
  • Han, Insu (Mazelone Inc.) ;
  • Oh, Seojin (Mazelone Inc.) ;
  • Choi, Mona (College of Nursing, Mo-Im Kim Nursing Research Institute, Yonsei University)
  • 투고 : 2018.09.27
  • 심사 : 2018.10.23
  • 발행 : 2018.10.31
⟨ 이전 논문 다음 논문 ⟩

초록

Objectives: This study aimed to describe the process of utilizing a mobile application for ecological momentary assessment (EMA) to collect data on stress and mood in daily life setting. Methods: A mobile application for the Android operating system was developed and installed with a set of questions regarding momentary mood and stress into a smartphone of a participant. The application sets alarms at semi-random intervals in 60-minute blocks, four times a day for 7 days. After obtaining all momentary affect and stress, the questions to assess the usability of the mobile EMA application were also administered. Results: The data were collected from 97 police officers working in Gyeonggi Province of South Korea. The mean completion rate was 60.0% ranging from 3.5% to 100%. The means of positive and negative affect were 18.34 of 28 and 19.09 of 63. The mean stress was 17.92 of 40. Participants responded that the mobile application correctly measured their affect ($4.34{\pm}0.83$) and stress ($4.48{\pm}0.62$) of 5-point Likert scale. Conclusions: Our study investigated the process of utilizing a mobile application to assess momentary affect and stress at repeated times. We found challenges regarding adherence to the research protocol, such as completion and delay of answering after alarm notification. Despite this inherent issue of adherence to the research protocol, the EMA still has advantages of reducing recall bias and assessing the actual moment of interest at multiple time points that improves ecological validity.

키워드

과제정보

연구 과제 주관 기관 : National Foundation of Korea (NRF)

참고문헌

  1. Stone AA, Shiffman S. Ecological momentary assessment (EMA) in behavioral medicine. Annu Behav Med 1994;16(3):199-202. https://doi.org/10.1093/abm/16.3.199
  2. Shiffman S, Stone AA, Hufford MR. Ecological momentary assessment. Annu Rev Clin Psychol 2008;4:1-32. https://doi.org/10.1146/annurev.clinpsy.3.022806.091415
  3. Bolger N, Laurenceau JP. Intensive longitudinal methods: an introduction to diary and experience sampling research. New York (NY): Guilford Press; 2013.
  4. Doherty ST, Lemieux CJ, Canally C. Tracking human activity and well-being in natural environments using wearable sensors and experience sampling. Soc Sci Med 2014;106:83-92. https://doi.org/10.1016/j.socscimed.2014.01.048
  5. Shiffman S. Dynamic influences on smoking relapse process. J Pers 2005;73(6):1715-48. https://doi.org/10.1111/j.0022-3506.2005.00364.x
  6. Donker T, Petrie K, Proudfoot J, Clarke J, Birch MR, Christensen H. Smartphones for smarter delivery of mental health programs: a systematic review. J Med Internet Res 2013;15(11):e247. https://doi.org/10.2196/jmir.2791
  7. Myin-Germeys I, Oorschot M, Collip D, Lataster J, Delespaul P, van Os J. Experience sampling research in psychopathology: opening the black box of daily life. Psychol Med 2009;39(9):1533-47. https://doi.org/10.1017/S0033291708004947
  8. Schwartz JE, Stone AA. Strategies for analyzing ecological momentary assessment data. Health Psychol 1998;17(1):6-16. https://doi.org/10.1037/0278-6133.17.1.6
  9. Ebner-Priemer UW, Trull TJ. Ecological momentary assessment of mood disorders and mood dysregulation. Psychol Assess 2009;21(4):463-75. https://doi.org/10.1037/a0017075
  10. Band R, Barrowclough C, Emsley R, Machin M, Wearden AJ. Significant other behavioural responses and patient chronic fatigue syndrome symptom fluctuations in the context of daily life: An experience sampling study. Br J Health Psychol 2016;21(3):499-514. https://doi.org/10.1111/bjhp.12179
  11. Clasen PC, Fisher AJ, Beevers CG. Mood-reactive selfesteem and depression vulnerability: person-specific symptom dynamics via smart phone assessment. PLoS One 2015;10(7):e0129774. https://doi.org/10.1371/journal.pone.0129774
  12. Cook PF, Schmiege SJ, Bradley-Springer L, Starr W, Carrington JM. Motivation as a mechanism for daily experiences' effects on HIV medication adherence. J Assoc Nurses AIDS Care 2018;29(3):383-93. https://doi.org/10.1016/j.jana.2017.09.003
  13. Faherty LJ, Hantsoo L, Appleby D, Sammel MD, Bennett IM, Wiebe DJ. Movement patterns in women at risk for perinatal depression: use of a mood-monitoring mobile application in pregnancy. J Am Med Inform Assoc 2017;24(4):746-53. https://doi.org/10.1093/jamia/ocx005
  14. Fuller-Tyszkiewicz M, Karvounis T, Pemberton R, Hartley-Clark L, Richardson B. Determinants of depressive mood states in everyday life: an experience sampling study. Motiv Emot 2017;41(4):510-21. https://doi.org/10.1007/s11031-017-9620-z
  15. Verhagen SJ, Berben JA, Leue C, Marsman A, Delespaul PA, van Os J, et al. Demonstrating the reliability of transdiagnostic mHealth Routine Outcome Monitoring in mental health services using experience sampling technology. PLoS One 2017;12(10):e0186294. https://doi.org/10.1371/journal.pone.0186294
  16. Powell DJH, Liossi C, Schlotz W, Moss-Morris R. Tracking daily fatigue fluctuations in multiple sclerosis: ecological momentary assessment provides unique insights. J Behav Med 2017;40(5):772-83. https://doi.org/10.1007/s10865-017-9840-4
  17. Jones KK, Zenk SN, McDonald A, Corte C. Experiences of African-American women with smartphone-based ecological momentary assessment. Public Health Nurs 2016;33(4):371-80. https://doi.org/10.1111/phn.12239

피인용 문헌

  1. Methodological Strategies for Ecological Momentary Assessment to Evaluate Mood and Stress in Adult Patients Using Mobile Phones: Systematic Review vol.7, pp.4, 2018, https://doi.org/10.2196/11215
  2. Factors Associated with Daily Completion Rates in a Smartphone-Based Ecological Momentary Assessment Study vol.25, pp.4, 2019, https://doi.org/10.4258/hir.2019.25.4.332
  3. Mood and Stress Evaluation of Adult Patients With Moyamoya Disease in Korea: Ecological Momentary Assessment Method Using a Mobile Phone App vol.8, pp.5, 2020, https://doi.org/10.2196/17034
  4. Psychometric Properties of the Korean Version of the PsyMate Scale Using a Smartphone App: Ecological Momentary Assessment Study vol.8, pp.7, 2018, https://doi.org/10.2196/17926
  5. 한국어판 축약형 순간 스트레스 측정 도구(Trier Inventory for Chronic Stress: TICS)의 타당도 및 신뢰도 평가 vol.21, pp.10, 2018, https://doi.org/10.5762/kais.2020.21.10.530