Abstract
Introduction and hypothesis
To translate the Prolapse and Incontinence Knowledge Questionnaire (PIKQ) into Turkish and test its validity and reliability.
Methods
The study included 341 women. The translation of the PIKQ, which comprised of the urinary incontinence (PIKQ-UI) and pelvic organ prolapse (PIKQ-POP) sections, was performed in accordance with international recommendations. The Incontinence Quiz (IQ) and the Visual Analog Scale (VAS) were applied to assess the level of knowledge about POP and UI. Psychometric analyses consisted of assessing the following: (1) construct validity by confirmatory factor analysis, (2) criterion and known group validity, (3) internal consistency reliability by the KR-20 coefficient, and (4) test-retest reliability over 1 week with the intraclass correlation coefficient (ICC).
Results
All fit indices except the Standardized Root Mean Square Residual indicated acceptable fit for the final models. Criterion validity was supported by moderate correlations between the PIKQ-UI and the IQ (rho = 0.679, p < 0.001). There were positive and weak linear correlations between the PIKQ-UI and PIKQ-POP scores and their corresponding perceived knowledge scores (rho = 0.351, p = 0.013 and rho = 0.345, p = 0.014, respectively). The known group validity did not show differences indicating that participants did not have enough knowledge about UI and/or POP even when they had the condition or acquaintance with them (p = 0.852 and p = 0.185, respectively). Reliability was excellent as indicated by the ICCs of 0.91–0.90, and KR-20 of 0.67–0.75 indicated good internal consistency for the PIKQ-UI and PIKQ-POP, respectively.
Conclusions
The Turkish version of the PIKQ is a valid and reliable instrument to assess the knowledge of UI and POP.
Similar content being viewed by others
References
Raizada V, Mittal RK. Pelvic floor anatomy and applied physiology. Gastroenterol Clin N Am. 2008;37(3):493–vii.
Hodges PW, Sapsford R, Pengel LH. Postural and respiratory functions of the pelvic floor muscles. Neurourol Urodyn. 2007;26(3):362–71.
Wu JM, Vaughan CP, Goode PS, Redden DT, Burgio KL, Richter HE, et al. Prevalence and trends of symptomatic pelvic floor disorders in US women. Obstet Gynecol. 2014;123(1):141–8.
Davis K, Kumar D. Pelvic floor dysfunction: a conceptual framework for collaborative patient-centred care. J Adv Nurs. 2003;43(6):555–68.
Jundt K, Peschers U, Kentenich H. The investigation and treatment of female pelvic floor dysfunction. Dtsch Arztebl Int. 2015;112(33–34):564–74.
Shaw C, Tansey R, Jackson C, Hyde C, Allan R. Barriers to help seeking in people with urinary symptoms. J Fam Pract. 2001;18(1):48–52.
Mitteness LS. Knowledge and beliefs about urinary incontinence in adulthood and old age. J Am Geriatr Soc. 1990;38(3):374–8.
Barber MD, Walters MD, Bump RC. Short forms of two condition-specific quality-of-life questionnaires for women with pelvic floor disorders (PFDI-20 and PFIQ-7). Am J Obstet Gynecol. 2005;193(1):103–13.
Branch LG, Walker LA, Wetle TT, DuBeau CE, Resnick NM. Urinary incontinence knowledge among community-dwelling people 65 years of age and older. J Am Geriatr Soc. 1994;42(12):1257–62.
Shah AD, Massagli MP, Kohli N, Rajan SS, Braaten KP, Hoyte L. A reliable, valid instrument to assess patient knowledge about urinary incontinence and pelvic organ prolapse. Int Urogynecol J Pelvic Floor Dysfunct. 2008;19(9):1283–9.
Comrey AL, Backer TE, Glaser EMA. Sourcebook for mental health measures. Oxford. Oxford: Human Interaction Research Institue; 1973.
Kara KC, Citak Karakaya I, Tunali N, Karakaya MG. Reliability and validity of the incontinence quiz-Turkish version. J Obstet Gynaecol. 2018;44(1):144–50.
Altman DG. Practical statistics for medical research. London: Chapman and Hall, CRC press; 1990.
Lukacz ES, Lawrence JM, Burchette RJ, Luber KM, Nager CW, Buckwalter JG. The use of visual analog scale in urogynecologic research: a psychometric evaluation. Am J Obstet Gynecol. 2004;191(1):165–70.
Kline RB. Principles and practice of structural equation modeling. New York: Guilford Press; 2015.
Lt H, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model. 1999;6(1):1–55.
Marsh HW, Hocevar D. Application of confirmatory factor analysis to the study of self-concept: first-and higher order factor models and their invariance across groups. Psychol Bull. 1985;97(3):562.
Berzuk K, Shay B. Effect of increasing awareness of pelvic floor muscle function on pelvic floor dysfunction: a randomized controlled trial. Int Urogynecol J. 2015;26(6):837–44.
Liebergall-Wischnitzer M, Cnaan T, Hochner H, Paltiel O. Self-reported prevalence of and knowledge about urinary incontinence among community-dwelling Israeli women of child-bearing age. J Wound Ostomy Continence Nurs. 2015;42(4):401–6.
Richter LA, Gutman RE, Tefera E, Estep A, Iglesia CB. Knowledge of erectile dysfunction and pelvic floor disorders among young adults: a cross-sectional study. Can J Urol. 2015;22(2):7715–9.
Tinsley HE, Tinsley DJ. Uses of factor analysis in counseling psychology research. J Couns Psychol. 1987;34(4):414.
Comrey AL, Lee HB. A first course in factor analysis. Abingdon: Psychology Press; 2013.
Comrey AL. Factor-analytic methods of scale development in personality and clinical psychology. J Consult Clin Psychol. 1988;56(5):754–61.
Brown TA. Confirmatory factor analysis for applied research. New York: Guilford Press; 2015.
Dunivan GC, Anger JT, Alas A, Wieslander C, Sevilla C, Chu S, et al. Pelvic organ prolapse: a disease of silence and shame. Female Pelvic Med Reconstr Surg. 2014;20(6):322–7.
Chutka DS, Fleming KC, Evans MP, Evans JM, Andrews KL. Urinary incontinence in the elderly population. Mayo Clin Proc. 1996;71(1):93–101.
Abrams P, Andersson KE, Birder L, Brubaker L, Cardozo L, Chapple C, et al. Fourth international consultation on incontinence recommendations of the international scientific committee: evaluation and treatment of urinary incontinence, pelvic organ prolapse, and fecal incontinence. Neurourol Urodyn. 2010;29(1):213–40.
Salvucci S, Walter E, Conley V, Fink S, Saba M. Measurement error studies at the National Center for education statistics. Washington, DC: U.S. Department of Education, National Center for Education Statistics; 1997.
Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159–74.
Koo TK, Li MY. A guideline of selecting and reporting Intraclass correlation coefficients for reliability research. J Chiropr Med. 2016;15(2):155–63.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflicts of interest
None.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendix
Appendix
Model development
Construct validity of the PIKQ-UI was first investigated with a model where all items were loaded to one latent trait called UI. The χ2 and SRMR values of the first model were beyond the acceptable fit values. After examining MI, the covariance parameter between items 5 and 11, which had the highest MI, was added to improve model fit, since both items were related to the etiology of UI. Then, covariance parameters between items 2 and 11 and items 4 and 9 were added to the model step by step. While the former parameter had the highest MI, the latter had the third highest MI, coming after the MIs of covariance parameters between items 4 and 12 and items 5 and 12. There were three parameters whose MIs were > 5 for the fourth model. However, these parameters were between items 4 and 12, items 5 and 12, and items 3 and 4, which were related to different concepts of the scale. Thus, the fourth model was taken as the final model. Model fit indices are given Table 2.
CFA analysis was performed for the PIKQ-POP in the same manner as the PIKQ-UI. Two covariance parameters were added separately to the initial model. The MI of the covariance between items 2 and 10 exceeded 5 in the last model. Since these items were related to different concepts, the procedure was terminated.
Mean item scores
Table 5 shows the mean scores for items and scales. The maximum mean score was for items 2, 5, and 12 in the PIKQ-UI and items 2 and 6 in the PIKQ-POP.
Rights and permissions
About this article
Cite this article
Toprak Celenay, S., Coban, O., Sahbaz Pirincci, C. et al. Turkish translation of the Prolapse and Incontinence Knowledge Questionnaire: validity and reliability. Int Urogynecol J 30, 2183–2190 (2019). https://doi.org/10.1007/s00192-019-03962-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00192-019-03962-5