Development and Preliminary Validation of Mibyeong Questionnaire(MQ) Based on Deficiency-Stagnation pattern

허울(虛鬱) 기반 미병 평가도구 개발 및 예비타당성 검증

  • Baek, Younghwa (Mibyeong Research Center, Korea Institute of Oriental Medicine) ;
  • Lee, Youngseop (Mibyeong Research Center, Korea Institute of Oriental Medicine) ;
  • Park, Kihyun (Mibyeong Research Center, Korea Institute of Oriental Medicine) ;
  • Lee, Siwoo (Mibyeong Research Center, Korea Institute of Oriental Medicine) ;
  • Yoo, Jonghyang (Mibyeong Research Center, Korea Institute of Oriental Medicine)
  • 백영화 (한국한의학연구원 미병연구단) ;
  • 이영섭 (한국한의학연구원 미병연구단) ;
  • 박기현 (한국한의학연구원 미병연구단) ;
  • 이시우 (한국한의학연구원 미병연구단) ;
  • 유종향 (한국한의학연구원 미병연구단)
  • Received : 2015.10.21
  • Accepted : 2015.11.24
  • Published : 2015.12.31

Abstract

Objective : This study aimed to develop and preliminary validate the Mibyeong Questionnaire (MQ) based on Deficiency-Stagnation pattern, which was report of a person's health condition that comes directly from the person. Method : The first phage of developing a MQ was to generate and exhaustive list of all MQ issue that are relevant to the domain of interest, using literature research and expert group discussions. Through those steps, we established MQ with 33 items divided into two parts: 21-item deficiency pattern and 12-item stagnation pattern. The second phage, we examined the preliminary tests of reliability and validity including the 16-item Deficiency of MQ (16D-MQ), with data (n=1,890) already collected on the Korean medicine data center in KIOM. Results : Exploratory factor analysis revealed three factors of the 16D-MQ. These factors were fatigue(Qi, 氣); psychic and physical elements(Shen, 神); and skin and hair(Jing, 精). Cronbach's coefficient alpha was 0.876 and the intraclass correlation coefficients was 0.368-0.538. In support of criteria validity, the 16D-MQ was weakly correlated with EQ-5D and physicians's opinion, but it was acceptable. Conclusion : The MQ shows that it has an appropriate level of internal consistency and validity. We think further study to reveal its reliability and validity, including stagnation pattern as well as deficiency pattern, is needed.

Keywords

References

  1. Greenfield S, Nelson EC. Recent developments and future issues in the use of health status assessment measures in clinical settings. Medical care. 1992;30(5):MS23-MS41.
  2. Sharon Elayne Fair. Wellness and Physical Therapy. Jones & Bartlett Publishers. 2010.
  3. Yan YX, Liu YQ, Li M, et al. Development and evaluation of a questionnaire for measuring suboptimal health status in urban Chinese. Journal of epidemiology/Japan Epidemiological Association. 2009;19(6):333-41. https://doi.org/10.2188/jea.JE20080086
  4. Alan Blum. The Grey Zone of Health and Illness. Intellect. 2010.
  5. Lee J, Kim SH, Lee Y, Song S, Kim Y, Lee S. The concept of Mibyeong (sub-health) in Korea: A Delphi study. European Journal of Integrative Medicine. 2013;5(6):514-8. https://doi.org/10.1016/j.eujim.2013.07.010
  6. Choi DC. Development of a Human Biomonitoring Empirical Model for Health Promotion Value Evaluation of Organic Foods. Korean Journal of Organic Agroculture. 2013;21(4):569-588. https://doi.org/10.11625/KJOA.2013.21.4.569
  7. Yutaka I, Kim YY, Cho TD. Verification of lavender(Lavandula angustifolia cv.Hidcote) and lawn(Zoysia japonica Steud.)'s Curative Effect, as a Green Space Composition Factor-Journal of the Environmental Sciences 2012;21(12):1487-1494. https://doi.org/10.5322/JES.2012.21.12.1487
  8. Korea institute of oriental medicine(KIOM). Development of diagnostic guide of Mibyeong in Integrated medicine. Daejeon:KIOM. 2013.
  9. Lee J, Dong SO, Lee Y, et al. Recognition of and interventions for Mibyeong (subhealth) in South Korea: a national web-based survey of Korean medicine practitioners. Integrative Medicine Research, 2014;3(2):60-66. https://doi.org/10.1016/j.imr.2013.09.001
  10. Fayers Peter, David Machin. Quality of life: the assessment, analysis and interpretation of patient-reported outcomes. John Wiley & Sons, 2013.
  11. Testa MA, Donald CS. Assessment of quality-of-life outcomes. New England journal of medicine. 1996;334(13):835-840. https://doi.org/10.1056/NEJM199603283341306
  12. Walton MK, Powers JH, Hobart J, et al. Clinical Outcome Assessments: Conceptual Foundation-Report of the ISPOR Clinician Reported Outcomes Good Measurement Practices Task Force. 2014.
  13. Taenzer P, Bultz BD, Carlson LE, et al. Impact of computerized quality of life screening on physician behaviour and patient satisfaction in lung cancer outpatients. Psychooncology, 2000;9(3):203-213. https://doi.org/10.1002/1099-1611(200005/06)9:3<203::AID-PON453>3.0.CO;2-Y
  14. Ware JE, Sherbourne CD. The MOS 36-Item Short-Form Health Survey (SF-36). I. Conceptural framwork and item selection. Med care 1992;30:473-483. https://doi.org/10.1097/00005650-199206000-00002
  15. EuroQol Group. EuroQol-a new facility for the measurement of health-related quality of life. Health policy. 1990;16(3):199-208. https://doi.org/10.1016/0168-8510(90)90421-9
  16. Woo HJ, Kim SH, Lee SB, et al. Development of Questionnaires for Differentiation of qi-xu, xue-xu, yang-xu, yin-xu analysis. Korean J. Orient. Int. Med. 2008;29(4):856-870.
  17. Moon JS, Park KM, Choi SM. Study on the Development of a Questionnaire Software for Health Examination in Oriental Medicine. Korea J. of Oriental Medicine. 2007;13(2):135-142.
  18. Kim JH, Ku BC, Kim JE, Kim YS, Kim KH. Study on Reliability and Validity of the 'Qi Blood Yin Yang Deficiency Questionnaire'. Korea J. Oriental physiology & Pathology. 2014;28(3):346-354.
  19. Rhy HH, Lee HJ, Jang ES, Lee SW, LEe GS, Kim JY. Study on Deficiency-Excess Pattern Questionnaire Development Possibility. Korea J. Oriental physiology & Pathology. 2009;23(3):534-539.
  20. Lee YK, Nam HS, Chuang LH, Kim KY, Yang HK, Kwon IS., et al. South Korean Time Trade-Off Values for EQ-5D Health States: Modeling with Observed Values for 101 Health States. Value in Health, 2009;12(8): 1187-1193. https://doi.org/10.1111/j.1524-4733.2009.00579.x
  21. Rosenthal R, Rosnow RL, Essentials of behavioural research: Methods and Data Analysis. New York:McGraw Hill. 1991.
  22. Brook RH, Ware JE, Davies-Avery A, Stewart AL, Donald CA, Rogers WH, et al. Overview of adult health status measures fielded in Rand's Health Insurance Study. Medical Care, 1979;i-131.
  23. Ware JE Jr, Dewey J. Health status and outcome assessment tools. Int Electronic J Health Education. 2000;3:138-148.
  24. U.S. Food and Drug Administration. Guidance for industry patient-reported outcome measures: use in medical product development to support labeling claims. Fed Regist. 2009;74(235):65132-65133.