The self-acceptance model improves the behavior of maintaining the quality of life after a hysterectomy

The loss of the uterus means the loss of one of the functions of a woman's life, namely the reproductive function. The impact of a hysterectomy will have a major influence on the quality of life; this can be seen in how to carry out life, such as activities, social relations and interactions with the environment. All of these things can lead to changes in daily behavior, namely changes in self-image that will lead to insecurity, withdrawn behavior, distrust of God and ultimately, self-injury behavior. This study analyzes the self-acceptance model's effect on maintaining the quality of life after a hysterectomy.

This type of research is an experiment to compare 2 design groups. This research was conducted for 4 weeks in May-June 2022, with a total sample of 12 respondents, with details of 6 respondents in the control group and 6 in the treatment group. The type of sampling used is non-probability sampling with a purposive sampling method. Data analysis used the Wilcoxon, and Mann Whitney marked rank test with a significance value of p < 0.05. The questionnaire used in this study was designed using a reference and behavioral theory approach with a reliability of 0.89 and a validity test that obtained a Cronbach alpha value of 0.86.

The value of behavior of caring for sexual function after hysterectomy before intervention in the control group was 29.00±1.789, and after being given the intervention, the value changed to 29.33±0.816 (p=0.564). In the treatment group, the value of behavior of caring for sexual function after hysterectomy before the intervention was 28.50±1.225 and after the intervention was 33.83±2.639 (p=0.027). Behavioral analysis of caring for sexual function after hysterectomy before intervention in the control and treatment groups showed no difference (p=0.591). The self-acceptance model affects the behavior of maintaining the quality of life after hysterectomy in the control and treatment groups (p=0.006).

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