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급성관상동맥증후군 환자의 상황인식 측정을 위한 K-SART의 신뢰도와 타당도 검증

Verification of Reliability and Validity of K-SART to Assess of Situational Awareness of Patients with Acute Coronary Syndrome

  • 정영희 (우송정보대학 간호학과)
  • 투고 : 2022.03.24
  • 심사 : 2022.04.20
  • 발행 : 2022.04.28

초록

이 연구는 급성관상동맥증후군을 경험한 환자의 상황인식 수준 측정을 위한 SART 도구의 신뢰도와 타당도를 검증하기 위해 시도되었다. 입원한 급성관상동맥증후군 환자 118명에게 번역된 SART 도구를 적용하여 도구의 신뢰도와 타당도를 분석하였다. 도구의 신뢰도와 타당도는 Cronbach 알파, 탐색적, 확인적 요인분석을 통해 분석하였다. 연구 결과 상황 인식 1(Instability of Situation, 상황의 불안정성)과 상황 인식 7(Spare Mental Capacity, 여분의 정신력)의 두 문항을 제거하였을 때 도구의 신뢰도와 모델 적합도 지수가 향상되는 것으로 나타났다. 수정된 국문판 SART는 급성관상동맥증후군 환자의 치료추구행동에 대한 의사결정 시 상황인식 정도를 측정하는 데 적절한 도구로 판단된다.

The purpose of this study was to test the reliability and validity of the SART(Situation Awareness Rating Technique) tool to measure the situational awareness of patients with acute coronary syndrome. The translated SART was tested on 118 hospitalized patients with acute coronary syndrome to verify the reliability and validity of the tool. The analysis was conducted with Cronbach's alpha, exploratory & confirmatory factor analysis. Study findings found that the tool's reliability and model fit index improved when the two problematic items, namely, Situation Awareness 1 (Instability of Situation) and Situation Awareness 7 (Spare Mental Capacity) were removed. According to the results, the revised K-SART is deemed to be an appropriate method for assessing the degree of situational awareness of patients with acute coronary syndrome in decision making about treatment-seeking.

키워드

참고문헌

  1. W. Chen, S. L. Woods, D. J. Wilkie & K. A. Puntillo. (2005). Gender differences in symptom experiences of patients with acute coronary syndromes. Journal of pain and symptom management, 30(6), 553-562. DOI : 10.1016/j.jpainsymman.2005.06.004
  2. G. De Luca, H. Suryapranata, J. P. Ottervanger & E. M. Antman. (2004). Time delay to treatment and mortality in primary angioplasty for acute myocardial infarction: every minute of delay counts. Circulation, 109(10), 1223-1225. DOI :10.1161/01.CIR.0000121424.76486.20
  3. A. Alrawashdeh, Z. Nehme, B. Williams, K. Smith, M. Stephenson, S. Bernard & D. Stub. (2021). Factors influencing patient decision delay in activation of emergency medical services for suspected ST-elevation myocardial infarction. European Journal of Cardiovascular Nursing, 20(3), 243-251. DOI : 10.1177/1474515120953737
  4. W. J. PENNY. (2001). Patient delay in calling for help: the weakest link in the chain of survival?. Heart, 85(2), 121-122. DOI : 10.1136/heart.85.2.121
  5. R. Kaur, V. Lopez & D. R. Thompson. (2006). Factors influencing Hong Kong Chinese patients' decision-making in seeking early treatment for acute myocardial infarction. Research in nursing & health, 29(6), 636-646. DOI : 10.1002/nur.20171
  6. S. Y. Hwang, C. Ryan, & J. J. Zerwic. (2006). The influence of age on acute myocardial infarction symptoms and patient delay in seeking treatment. Progress in cardiovascular nursing, 21(1), 20-27. https://doi.org/10.1111/j.0197-3118.2006.04713.x
  7. S. M. Fox-Wasylyshyn, M. El-Masri & N. T. Artinian. (2010). Testing a model of delayed care-seeking for acute myocardial infarction. Clinical nursing research, 19(1), 38-54. DOI : 10.1177/1054773809353163
  8. J. C. Walsh, M. Lynch, A. W. Murphy & K. Daly. (2004). Factors influencing the decision to seek treatment for symptoms of acute myocardial infarction: an evaluation of the Self-Regulatory Model of illness behaviour. Journal of psychosomatic research, 56(1), 67-73. DOI : 10.1016/S0022-3999(03)00082-5
  9. G. Klein(2008). Naturalistic decision making. Human factors, 50(3), 456-460. DOI : 10.1518/001872008X288385
  10. R. T. Nullmeyer, D. Stella, G. A. Montijo, G. A. & S. W. Harden. (2005). Human factors in Air Force flight mishaps: Implications for change. In Proceedings of the 27th Annual Interservice/Industry Training, Simulation, and Education Conference (No. 2260). Arlington, VA: National Training Systems Association.
  11. B. Watts. (2004). Situation Awareness in Air-to-Air Combat and Friction. In Clausewitzian Friction and Future War. Institute of National Strategic Studies, National Defense University.
  12. B. R. Brodie, T. D. Stuckey, D. B. Muncy, C. J. Hansen, T. C. Wall, M. Pulsipher & N. Gupta. (2003). Importance of time-to-reperfusion in patients with acute myocardial infarction with and without cardiogenic shock treated with primary percutaneous coronary intervention. American heart journal, 145(4), 708-715. DOI : 10.1067/mhj.2003.9
  13. M. C. Wright, J. M. Taekman, & M. R. Endsley(2004). Objective measures of situation awareness in a simulated medical environment. BMJ Quality & Safety, 13(suppl 1), i65-i71. DOI : 10.1136/qshc.2004.009951
  14. R. M. Taylor. (2017). Situational awareness rating technique (SART): The development of a tool for aircrew systems design. In Situational awareness (pp. 111-128). Routledge.
  15. J. C. Nunnally. In: Psychometric theory. 2nd ed. New York (NY): McGraw-Hill; 1978. pp. 330-430.
  16. M. D. Newcomb, C. P. Chou, P. M. Bentler & G. J. Huba. (1988). Cognitive motivations for drug use among adolescents: Longitudinal tests of gender differences and predictors of change in drug use. Journal of Counseling Psychology, 35(4), 426. https://doi.org/10.1037//0022-0167.35.4.426
  17. G. S. Kim. (2011). AMOS 18.0 Analysis structural equation modeling. Seoul : Hannarae Publishing Co.; 2011.
  18. M. R. Endsley. (1995). Toward a theory of situation awareness in dynamic systems. Human factors, 37(1), 32-64. DOI : 10.1518/001872095779049499
  19. S. H. Choi, Y. C. Y. H. Lee & J. D. Jeon(2009). A Study on the Effects of Helicopter Pilot's Working Career to Situation Awareness. Journal of the Korean society for aeronautical and flight operation, 17(1), 71-76.
  20. C. Henriksson, B. Lindahl & M. Larsson. (2007). Patients' and relatives' thoughts and actions during and after symptom presentation for an acute myocardial infarction. European Journal of Cardiovascular Nursing, 6(4), 280-286. DOI : 10.1016/j.ejcnurse.2007.02.001
  21. J. R. Quinn. (2005). Delay in seeking care for symptoms of acute myocardial infarction: applying a theoretical model. Research in nursing & health, 28(4), 283-294. DOI : 10.1002/nur.20086
  22. A. G. Rosenfeld. (2001). Women's risk of decision delay in acute myocardial infarction: implications for research and practice. AACN Advanced Critical Care, 12(1), 29-39. DOI : 10.1097/00044067-200102000-00005