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Turkish translation of the Prolapse and Incontinence Knowledge Questionnaire: validity and reliability

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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.

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Correspondence to Seyda Toprak Celenay.

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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.

Table 5 Item and total scores for PIKQ-UI and PIKQ-POP

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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

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