DOI QR코드

DOI QR Code

Preventive Health Management Self-Efficacy related to Premature Labor (PHMSE-PL) scale for Korean women of childbearing age: instrument development and validation

  • Kim, Sun-Hee (College of Nursing, Research Institute of Nursing Science, Daegu Catholic University) ;
  • Lee, Yu-Jin (College of Nursing, Taegu Science University)
  • Received : 2022.07.07
  • Accepted : 2022.07.19
  • Published : 2022.07.31

Abstract

Purpose: This study aimed to develop and examine the validity and reliability of a self-efficacy scale for preventive health management related to premature labor (PHMSE-PL) for women of childbearing age. Methods: Instrument development and validation were undertaken in three steps: conceptualization through a literature review and in-depth interviews, item generation and evaluation of content validity, and evaluation of construct validity and reliability. The content validity, factorial structure validity, and internal consistency reliability of the PHMSE-PL were evaluated, and cognitive interviewing was undertaken. Data were analyzed using confirmatory factor analyses, Cronbach's α, and 95% confidence intervals (CIs). Results: The content validity was assessed by experts and was strengthened through cognitive interviews with women of childbearing age. The PHMSE-PL comprised 34 items across five factors. The construct validity of the PHMSE-PL was supported. Cronbach's α for the total scale was .97 (95% CI=.96-.97). Conclusion: An evaluation of the psychometric properties of the PHMSE-PL scale found it to be a valid and reliable tool for women of childbearing age. The scale appears to be useful for women of childbearing age to self-assess their preventive health management self-efficacy related to premature labor and for health professionals to evaluate and promote women's preventive health management.

Keywords

Acknowledgement

The authors would like to thank the women of childbearing age who participated in qualitative interviews and cognitive interviews.

References

  1. Chawanpaiboon S, Vogel JP, Moller AB, Lumbiganon P, Petzold M, Hogan D, et al. Global, regional, and national estimates of levels of preterm birth in 2014: a systematic review and modeling analysis. Lancet Global Health. 2019;7(1):e37-e46. https://doi.org/10.1016/s2214-109x(18)30451-0
  2. Statistics Korea. Birth statistics in 2020 [Internet]. Daejeon: Statistics Korea; 2021 [cited 2022 March 20]. Available from: http://kostat.go.kr/portal/korea/kor_nw/1/2/3/index.board?bmode=read&bSeq=&aSeq=391575&pageNo=2&rowNum=10&navCount=10&currPg=&searchInfo=&sTarget=title&sTxt=
  3. Walani SR. Global burden of preterm birth. International Journal of Gynecology and Obstetrics. 2020;150(1):31-33. https://doi.org/10.1002/ijgo.13195
  4. Beam AL, Fried I, Palmer N, Agniel D, Brat G, Fox K, et al. Estimates of healthcare spending for preterm and low-birthweight infants in a commercially insured population: 2008-2016. Journal of Perinatology. 2020;40(7):1091-1099. https://doi.org/10.1038/s41372-020-0635-z
  5. Speer RR, Schaefer EW, Aholoukpe M, Leslie DL, Gandhi CK. Trends in costs of birth hospitalization and readmissions for late preterm infants. Children. 2021;8(2):127. https://doi.org/10.3390/children8020127
  6. Goldenberg RL, Culhane JF, Iams JD, Romero R. Epidemiology and causes of preterm birth. Lancet. 2008;371(9606):75-84. https://doi.org/10.1016/s0140-6736(08)60074-4
  7. Romero R, Dey SK, Fisher SJ. Preterm labor: one syndrome, many causes. Science. 2014;345(6198):760-765. https://doi.org/10.1126/science.1251816
  8. Griggs KM, Hrelic DA, Williams N, McEwen-Campbell M, Cypher R. Preterm labor and birth: a clinical review. MCN, The American Journal of Maternal/Child Nursing. 2020;45(6):328-337. https://doi.org/10.1097/nmc.0000000000000656
  9. Silva TV, Bento SF, Katz L, Pacagnella RC. "Preterm birth risk, me?" Women risk perception about premature delivery - a qualitative analysis. BMC Pregnancy Childbirth. 2021;21(1):633. https://doi.org/10.1186/s12884-021-04068-x
  10. Lowe NK. Maternal confidence for labor: development of the Childbirth Self-Efficacy Inventory. Research in Nursing and Health. 1993;16(2):141-149. https://doi.org/10.1002/nur.4770160209
  11. Chu KH, Chen AC, Tai CJ, Chen SF, Chien LY. Development and validation of the self-efficacy regarding vaginal birth scale. Journal of Obstetric, Gynecologic, and Neonatal Nursing: JOGNN. 2017;46(1):e13-e21. https://doi.org/10.1016/j.jogn.2016.08.010
  12. Bandura A. Self-efficacy: the exercise of control. Basingstoke: Worth Publishers; 1997. p. 606.
  13. Williams DM, Rhodes RE. The confounded self-efficacy construct: conceptual analysis and recommendations for future research. Health Psychology Review. 2016;10(2):113-128. https://doi.org/10.1080/17437199.2014.941998
  14. Hsieh HF, Shannon SE. Three approaches to qualitative content analysis. Qualitative Health Research. 2005;15(9):1277-1288. https://doi.org/10.1177/1049732305276687
  15. Walts C, Strickland OL, Lenz E. Measurement in nursing and health research. 5th ed. New york, NY: Springer Publishing Co.; 2017. p. 46-49.
  16. Polit DF, Beck CT, Owen SV. Is the CVI an acceptable indicator of content validity? Appraisal and recommendations. Research in Nursing and Health. 2007;30(4):459-467. https://doi.org/10.1002/nur.20199
  17. Collins D. Cognitive Interviewing Practice. London: SAGE Publications Ltd.; 2015. p. 57-141.
  18. MacCallum RC, Widaman KF, Zhang S, Hong S. Sample size in factor analysis. Psychological Methods. 1999;4(1):84-99. https://doi.org/10.1037/1082-989X.4.1.84
  19. Kline RB. Principles and practice of structural equation modeling. 4th ed. New york, NY: The Guilford Press; 2015. p. 268-298.
  20. West SG, Taylor AB, Wu W. Model fit and model selection in structural equation modeling. New York, NY: The Guilford Press; 2012. p. 209-231.
  21. Bae BR. Mplus 7.0 structural equation modeling. Seoul: Chungram Publishing; 2016. p. 39.
  22. Ryan P, Sawin KJ. The Individual and Family Self-Management Theory: background and perspectives on context, process, and outcomes. Nursing Outlook. 2009;57(4):217-225.E6. https://doi.org/10.1016/j.outlook.2008.10.004
  23. Liu T. A concept analysis of self-efficacy among Chinese elderly with diabetes mellitus. Nursing Forum. 2012;47(4):226-235. https://doi.org/10.1111/j.1744-6198.2012.00282.x
  24. Patterson ET, Douglas AB, Patterson PM, Bradle JB. Symptoms of preterm labor and self-diagnostic confusion. Nursing Research. 1992;41(6):367-372. https://doi.org/10.1097/00006199-199211000-00009
  25. Luszczynska A, Scholz U, Schwarzer R. The general self-efficacy scale: multicultural validation studies. Journal of Psychology. 2005;139(5):439-457. https://doi.org/10.3200/jrlp.139.5.439-457
  26. Loven Wickman U, Yngman-Uhlin P, Hjortswang H, Wenemark M, Stjernman H, Riegel B, et al. Development of a self-care questionnaire for clinical assessment of self-care in patients with inflammatory bowel disease: a psychometric evaluation. International Journal of Nursing Studies. 2019;89:1-7. https://doi.org/10.1016/j.ijnurstu.2018.08.016
  27. Brown TA. Confirmatory factor analysis for applied research. 2nd ed. New york, NY: The Guilford Press; 2015. p. 461.
  28. Iacobucci D, Duhachek A. Advancing alpha: measuring reliability with confidence. Journal of Consumer Psychology. 2003;13:478-487. https://doi.org/10.1207/S15327663JCP1304_14
  29. Yu B, Jia P, Huang YL, Zhou JM, Xie T, Yu J, et al. Self-efficacy as a crucial psychological predictor of treatment adherence among elderly people living with HIV: analyses based on the health belief model. AIDS Care. 2021:1-7. https://doi.org/10.1080/09540121.2021.1938964