DOI QR코드

DOI QR Code

Development and Psychometric Evaluation of the Ischemic Stroke Distress Scale (ISDS)

허혈성 뇌졸중 환자의 디스트레스 측정도구 개발 및 평가

  • Kang, Jaejin (Neuro Intensive Care Unit, The Catholic University of Korea, Seoul Saint Mary's Hospital) ;
  • Yoo, Yang-Sook (College of Nursing, The Catholic University of Korea)
  • 강재진 (가톨릭대학교 서울성모병원 신경계중환자실) ;
  • 유양숙 (가톨릭대학교 간호대학)
  • Received : 2022.08.09
  • Accepted : 2022.12.15
  • Published : 2023.02.28

Abstract

Purpose: This study aimed to develop a scale to measure distress in patients with ischemic stroke and verify its validity and reliability. Methods: Preliminary items were developed from literature review and in-depth interviews. The final preliminary scale was confirmed through a content validity test of eight experts and a preliminary survey of 10 stroke patients. The participants for psychometric testing were 305 stroke patients in the outpatient clinic. Validity and reliability analyses included item analysis, exploratory and confirmatory factor analysis, convergent validity, known-group validity, and internal consistency of the scale. Results: The final scale consisted of 17 items and 3 factors. The three distinct factors were 'self-deprecation, worry about future health, and withdrawal from society' and this structure was validated using a confirmatory factor analysis. Convergent validity was supported by comparison with the Center for Epidemiologic Studies Depression Scale (r = .54, p < .001) and Brief Illness Perception Questionnaire (r = .67, p < .001). Known-groups validity was verified by dividing groups according to 'duration since diagnosis' (t = 2.65, p = .009), 'presence of sequela' (t = 10.16, p < .001), and 'awareness of distress' (t = 12.09, p < .001). The internal consistency of the scale using Cronbach's α for the total items was .93. Conclusion: The Ischemic Stroke Distress Scale is a valid and reliable tool that reflects stroke distress effectively. It is expected to be used as a basic tool to develop various intervention strategies to reduce distress in ischemic stroke patients.

Keywords

References

  1. Statistics Korea. 2020 Cause of death statistics [Internet]. Daejeon: Statistics Korea; 2021 [cited 2022 Jul 1]. Available from: https://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1B34E01&vw_cd=MT_ZTI-TLE& list_id=&scrId=&seqNo=&lang_mode=ko&obj_var_id=&itm_id=&conn_path=E1&docId=00327&markType=S&itmNm=%EC%A0%84%EA%B5%AD.
  2. Ferro JM, Caeiro L, Figueira ML. Neuropsychiatric sequelae of stroke. Nature Reviews Neurology. 2016;12(5):269-280. https://doi.org/10.1038/nrneurol.2016.46
  3. Gillespie DC, Cadden AP. The Distress Management System for Stroke (DMSS): An approach for screening and initial intervention for post-stroke psychological distress. Journal of Nursing Education and Practice. 2013;3(10):150-158. https://doi.org/10.5430/jnep.v3n10p150
  4. Carney RM, Freedland KE. Psychological distress as a risk factor for stroke-related mortality. Stroke. 2002;33(1):5-6. https://doi.org/10.1161/str.33.1.5
  5. NCCN practice guidelines for the management of psychosocial distress. National Comprehensive Cancer Network. Oncology. 1999;13(5A):113-147.
  6. Polonsky WH, Fisher L, Earles J, Dudl RJ, Lees J, Mullan J, et al. Assessing psychosocial distress in diabetes: Development of the diabetes distress scale. Diabetes Care. 2005;28(3):626-631. https://doi.org/10.2337/diacare.28.3.626
  7. Kempton CL, Michaels Stout M, Barry V, Figueroa J, Buckner TW, Gillespie S, et al. Validation of a new instrument to measure disease-related distress among patients with haemophilia. Haemophilia. 2021;27(1):60-68. https://doi.org/10.1111/hae.14187
  8. White JH, Magin P, Attia J, Sturm J, Carter G, Pollack M. Trajectories of psychological distress after stroke. Annals of Family Medicine. 2012;10(5):435-442. https://doi.org/10.1370/afm.1374
  9. Crowe C, Coen RF, Kidd N, Hevey D, Cooney J, Harbison J. A qualitative study of the experience of psychological distress post-stroke. Journal of Health Psychology. 2016;21(11):2572-2579. https://doi.org/10.1177/1359105315581067
  10. Sarfo FS, Nichols M, Qanungo S, Teklehaimanot A, Singh A, Mensah N, et al. Stroke-related stigma among West Africans: Patterns and predictors. Journal of the Neurological Science. 2017;375:270-274. https://doi.org/10.1016/j.jns.2017.02.018
  11. McCurley JL, Funes CJ, Zale EL, Lin A, Jacobo M, Jacobs JM, et al. Preventing chronic emotional distress in stroke survivors and their informal caregivers. Neurocritical Care. 2019;30(3):581-589. https://doi.org/10.1007/s12028-018-0641-6
  12. Intercollegiate Stroke Working Party. National clinical guideline for stroke. 4th ed. London: Royal College of Physicians; 2012. p. 1-208.
  13. Doyle PJ, McNeil MR, Mikolic JM, Prieto L, Hula WD, Lustig AP, et al. The Burden of Stroke Scale (BOSS) provides valid and reliable score estimates of functioning and well-being in stroke survivors with and without communication disorders. Journal of Clinical Epidemiology. 2004;57(10):997-1007. https://doi.org/10.1016/j.jclinepi.2003.11.016
  14. Williams LS, Weinberger M, Harris LE, Clark DO, Biller J. Development of a stroke-specific quality of life scale. Stroke. 1999;30(7):1362-1369. https://doi.org/10.1161/01.str.30.7.1362
  15. Pai HC, Li CC, Tsai SM, Pai YC. Association between illness representation and psychological distress in stroke patients: A systematic review and meta-analysis. International Journal of Nursing Studie. 2019;94:42-50. https://doi.org/10.1016/j.ijnurstu.2019.01.015
  16. Lazarus RS, Folkman S. Stress, appraisal, and coping. Berlin: Springer Publishing Company; 1984. p. 19.
  17. Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatrica Scandinavica. 1983;67(6):361-370. https://doi.org/10.1111/j.1600-0447.1983.tb09716.x
  18. Radloff LS. The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement. 1977;1(3):385-401. https://doi.org/10.1177/014662167700100306
  19. Korea Disease Control and Prevention Agency (KDCA). About stroke [Internet]. Cheongju: KDCA; [cited 2022 Oct 30]. Available from: https://health.kdca.go.kr/healthinfo/biz/health/ccvdInfo/ccvcdInfo/cbvcacdInfoMain.do.
  20. DeVellis RF, Thorpe CT. Scale development: Theory and applications. 5th ed. Thousand Oaks (CA): Sage Publications; 2021. p. 91-136.
  21. Krug EG, Mercy JA, Dahlberg LL, Zwi AB. The world report on violence and health. The Lancet. 2002;360(9339):1083- 1088. https://doi.org/10.1016/S0140-6736(02)11133-0
  22. Lee SE, Hong GR. Development of the meaning in life scale for older adults. Journal of Korean Academy of Nursing. 2017;47(1):86-96. https://doi.org/10.4040/jkan.2017.47.1.86
  23. Lynn MR. Determination and quantification of content validity. Nursing Research. 1986;35(6):382-385. https://doi.org/10.1097/00006199-198611000-00017
  24. Hinkin TR. A brief tutorial on the development of measures for use in survey questionnaires. Organizational Research Methods. 1998;1(1):104-121. https://doi.org/10.1177/109442819800100106
  25. Anderson JC, Gerbing DW. Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin. 1988;103(3):411-423. https://doi.org/10.1037/0033-2909.103.3.411
  26. Hair JF. Multivariate data analysis: A global perspective. 7th ed. Upper Saddle River (NJ): Pearson Education; 2010. p.116-118. 
  27. Osborne JW. Best practices in exloratory factor analysis. Scotts Valley (CA): CreateSpace Independent Publishing Platform; 2014. p. 9-37.
  28. Williams B, Onsman A, Brown T. Exploratory factor analysis: A five-step guide for novices. Journal of Emergency Primary Health Care. 2010;8(3):990399. https://doi.org/10.33151/ajp.8.3.93
  29. Hooper D, Coughlan J, Mullen MR. Structural equation modelling: Guidelines for determining model fit. Electronic Journal of Business Research Methods. 2008;6(1):53-60.
  30. Fabrigar LR, Wegener DT, MacCallum RC, Strahan EJ. Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods. 1999;4(3):272-299. https://doi.org/10.1037/1082-989X.4.3.272
  31. Clark DA, Bowles RP. Model fit and item factor analysis: Overfactoring, underfactoring, and a program to guide interpretation. Multivariate Behavioral Research. 2018;53(4):544-558. https://doi.org/10.1080/00273171.2018.1461058
  32. Lee JY. Advanced nurising statistics. Paju: Soomoonsa; 2016. p. 231-264.
  33. Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research. 1981;18(1):39-50. https://doi.org/10.2307/3151312
  34. Andresen EM, Malmgren JA, Carter WB, Patrick DL. Screening for depression in well older adults: Evaluation of a short form of the CES-D (center for epidemiologic studies depression scale). American Journal of Preventive Medicine. 1994;10(2):77-84. https://doi.org/10.1016/S0749-3797(18)30622-6
  35. Williams MW, Li CY, Hay CC. Validation of the 10-item center for epidemiologic studies depression scale post stroke. Journal of Stroke and Cerebrovascular Diseases. 2020;29(12):105334. https://doi.org/10.1016/j.jstrokecerebrovasdis.2020.105334
  36. Broadbent E, Petrie KJ, Main J, Weinman J. The brief illness perception questionnaire. Journal of Psychosomatic Research. 2006;60(6):631-637. https://doi.org/10.1016/j.jpsychores.2005.10.020
  37. Kim HY. Statistical notes for clinical researchers: Assessing normal distribution (2) using skewness and kurtosis. Restorative Dentistry & Endodontics. 2013;38(1):52-54. https://doi.org/10.5395/rde.2013.38.1.52
  38. MacCallum RC, Roznowski M, Necowitz LB. Model modifications in covariance structure analysis: The problem of capitalization on chance. Psychological Bulletin. 1992;111(3):490-504. https://doi.org/10.1037/0033-2909.111.3.490
  39. Mukherjee D, Levin RL, Heller W. The cognitive, emotional, and social sequelae of stroke: Psychological and ethical concerns in post-stroke adaptation. Topics in Stroke Rehabilitation. 2006;13(4):26-35. https://doi.org/10.1310/tsr1304-26
  40. Masse R. Qualitative and quantitative analyses of psychological distress: Methodological complementarity and ontological incommensurability. Qualitative Health Research. 2000;10(3):411-423. https://doi.org/10.1177/104973200129118426
  41. Schmid AA, Rittman M. Fear of falling: An emerging issue after stroke. Topics in Stroke Rehabilitation. 2007;14(5):46-55. https://doi.org/10.1310/tsr1405-46
  42. Yang K, Armstrong N, Diamond C, Lane AR, Dunne S. The meaning of loneliness to stroke survivors: A qualitative study in Northeast England. Journal of Health Psychology. 2022;27(11):2539-2548. https://doi.org/10.1177/13591053211017198
  43. Bergersen H, Schanke AK, Sunnerhagen KS. Predictors of emotional distress and wellbeing 2-5 years after stroke. International Scholarly Research Notices. 2013;2013:467398. https://doi.org/10.1155/2013/467398