Journal of Physiology & Pathology in Korean Medicine (동의생리병리학회지)

The Physiological Society of Korean Medicine and The Society of Pathology in Korean Medicine (대한동의생리학회·한의병리학회)
권호 표지
DOI QR코드

DOI QR Code

Development on the Questionnaire of Cold-Heat Pattern Identification Based on Usual Symptoms: Reliability and validation Study

평소 증상 기반 한열변증 설문지의 신뢰도 및 타당도 연구

  • Bae, Kwang Ho (Future Medicine Division, Korea Institute of Oriental Medicine) ;
  • Jang, Eun Su (Department of Diagnostics, College Korean Medicine, Daejeon University) ;
  • Park, Kihyun (Future Medicine Division, Korea Institute of Oriental Medicine) ;
  • Lee, Youngseop (Future Medicine Division, Korea Institute of Oriental Medicine)
  • 배광호 (한국한의학연구원 미래의학부) ;
  • 장은수 (대전대학교 한의과대학 진단학교실) ;
  • 박기현 (한국한의학연구원 미래의학부) ;
  • 이영섭 (한국한의학연구원 미래의학부)
  • Received : 2018.06.15
  • Accepted : 2018.10.19
  • Published : 2018.10.25
Download PDF
⟨ Previous Next ⟩

Abstract

The aims of this study were to evaluate the reliability and validity of the cold and heat pattern identification questionnaire (CHPIQ). From July 2015 to December 2015, 120 participants, university faculties, filled out CHPIQ by the way of self-reporting. Then two Korean medical doctors independently diagnosed them whether they belonged to cold pattern (CP) or not, and heat pattern (HP) or not. We evaluated the internal consistency using Cronbach's alpha coefficient, and the validity using the sensitivity and specificity through receiver operating characteristic-curve. The internal consistency (Cronbach's alpha coefficient) showed 0.754 (CP) and 0.753 (HP). The area under the curve was recorded with 0.884 (CP) and 0.786 (HP). The agreements between CHPIQ and experts were 82.8% (CP) and 72.9% (HP). The sensitivities showed 0.707 (CP) and 0.719 (HP), and the specificities were 0.935 (CP) and 0.736 (HP). This study suggests that CHPIQ is a reliable and valid instrument for estimating cold-heat pattern identification.

Keywords

References

  1. World Health Organization. WHO international standard terminologies on traditional medicine in the western pacific region. Geneva: World Health Organization; 2007.
  2. Bae KH, Yoon YH, Yeo MK, Kim HS, Lee YS, Lee SW. Development on the Questionnaire of Cold-Heat Pattern Identification Based on Usual Symptoms for Health Promotion - Focused on Agreement Study. J Soc Prev Korean Med. 2016;20(2):17-26.
  3. Heo E-J, Lee S-W, Jeon W-K, Lyu Y-S, Kang H-W. The Evaluation of Instrument for Cold-Heat & Deficiency-Excess Pattern Identification of Dementia. J of Oriental Neuropsychiatry. 2015;26(3):283-92. https://doi.org/10.7231/jon.2015.26.3.283
  4. Lee I, Park K, Hong H, Song I, Sung K, Lee S. Correlation between Post-Stroke Depression and Cold, Heat, Deficiency and Excess Patterns. Korean J Orient Int Med. 2014;35(1):50-8. https://doi.org/10.13048/jkm.14005
  5. Park J, Lee M, Kong K, Go H. Relationship between Heart Rate Variability and Cold-Heat Patternization in Patient with Chronic Constipation. Korean J Orient Int Med. 2012;33(2):209-21.
  6. in H, Kim S, Dong S, Jang E, Lee S. The Agreement in Cold-Heat and Health Status among Sasang Constitutional Experts in Diagnosis of Sasang Pathological Symptoms. J Sasang Constitut Med. 2014;26(2):146-55. https://doi.org/10.7730/JSCM.2014.26.2.146
  7. Yeo M, Park K, Bae K, Jang E, Lee Y. Development on the Questionnaire of Cold-Heat Pattern Identification Based on Usual Symptoms for Health Promotion - Focused on Reliability Study. J Physiol & Pathol Korean Med. 2016;30(2):116-23. https://doi.org/10.15188/kjopp.2016.04.30.2.116
  8. Kim S, Lee S, Lee Y. A Study on the Difference of Cold-heat Patterns between Health and Mibyeong Group. J Soc Prev Korean Med. 2017;21(1):49-56. https://doi.org/10.25153/spkom.2017.21.1.006
  9. Tavakol M, Dennick R. Making sense of Cronbach's alpha. International Journal of Medical Education. 2011;2:53-5. https://doi.org/10.5116/ijme.4dfb.8dfd
  10. Bland JM, Altman DG. Cronbach's alpha. Bmj. 1997;314(7080):572. https://doi.org/10.1136/bmj.314.7080.572
  11. Jang GA. Kyungakjeonsuh. Seoul: Daesung; 1993.
  12. Jung GP. Uihaksimo. Seoul: Ilchungsa; 1994.
  13. Obama B. United States Health Care Reform: Progress to Date and Next Steps. Jama. 2016;316(5):525-32. https://doi.org/10.1001/jama.2016.9797
  14. Lyon J. Precision Medicine Gets Boost. Jama. 2016;316(18):1859.
  15. Zhou LY, Wang YJ, Shi Q. Discuss the unity of opposites between precision medicine and Traditional Chinese Medicine. Zhonghua yi xue za zhi. 2017;97(42):3281-2.
  16. Hunter DJ. Uncertainty in the Era of Precision Medicine. N Engl J Med. 2016;375(8):711-3. https://doi.org/10.1056/NEJMp1608282

Cited by

  1. 한열(寒熱) 변증에 따른 한의 외용 치료제 비염고의 치료 효과 : 하위 그룹 분석 vol.32, pp.4, 2018, https://doi.org/10.6114/jkood.2019.32.4.029
  2. 신체 생체 지표를 이용한 사상체질 판별 연구 - 한의 코호트 연구를 중심으로 vol.23, pp.3, 2019, https://doi.org/10.25153/spkom.2019.23.3.003
  3. 추적관찰을 통해 살펴본 한증 HRV지표 vol.34, pp.1, 2018, https://doi.org/10.15188/kjopp.2020.02.34.1.30
  4. 검진용 허실 변증 진단 설문지 타당도 평가 vol.34, pp.3, 2020, https://doi.org/10.15188/kjopp.2020.06.34.3.142
  5. A Pilot Study of Whether the Cold-Heat Syndrome Type is Associated with Treatment Response and Immune Status in Patients with Non-Small Cell Lung Cancer vol.2021, pp.None, 2018, https://doi.org/10.1155/2021/9920469
  6. 암 환자 대상 설문지, 맥진기, 설진기 결과를 활용한 한열허실변증에 대한 예비 연구 vol.42, pp.1, 2018, https://doi.org/10.13048/jkm.21001