Aplikasi Model Rasch dalam Pengembangan Instrumen Deteksi Dini Postpartum Depression

Abstract

After giving birth, women will face a lot challange as a mother. That situation demands an adaptation process, so that it is risky for women to diagnosed postpartum depression (PPD) disorder. Late detection and treatment may endanger the lives of the mother and baby. This condition indicates that PPD is a serious long term mental health problem and related to mother-child safety issues. Unfortunately, in Indonesia, the postpartum depression detection tool has never been developed. This study developed an early detection tool of postpartum depression (PPD) using the Rasch model which considered having advantages compared to the classical test theory. The subjects were 78 women who had just given birth last 2-6 weeks. Based on the results of the analysis using Winsteps, 13 items of 17 items met the grain-model fit index, with an alpha reliability coefficient of 0,90. Overall, it can be concluded that this early detection instrument of postpartum depression has good psychometric properties. Hence, it can be used for an early assessment and research.

Keywords

• de