Socioeconomic status and treatment outcomes in women with genito-pelvic pain penetration disorder: A longitudinal study of a therapeutic educational program dataset

Résumé fourni par la source

Sexual health is crucial for overall well-being, and dyspareunia (genito-pelvic pain/penetration disorder) is a common sexual disorder that can be addressed through multimodal physiotherapy approaches, including education. However, it's unclear whether socioeconomic factors influence the effectiveness of educational therapies for dyspareunia. The dataset presented in this article was used in a pilot randomized controlled trial that aimed to investigate any potential correlation between socioeconomic status and the outcomes of a therapeutic educational program for dyspareunia, evaluating the impact of a therapeutic educational program on 69 women. The data measured pain intensity, pain-related outcomes, and sexual functioning over time. In February 2022, socioeconomic status measurements (age, educational level, household monthly income, and job rank) were collected. The analysis used Pearson's correlation index and Spearman's rho statistic to assess any correlations between these variables. The results of the correlation analysis indicated that there was no significant correlation between any of the outcomes of the intervention and the socioeconomic status measurements. The data analysis findings suggest that a therapeutic educational program can effectively improve pain intensity, pain-related outcomes, and sexual functioning in patients with persistent pelvic pain, regardless of their socioeconomic status. These findings have policy implications, as they suggest that education is a powerful tool that can improve sexuality outcomes for patients with dyspareunia, regardless of their socioeconomic background. The dataset contains the collected raw data, including partial participant demographics data and scores categorized by question group, as well as scores for each participant at each time point (before and after the intervention). This dataset can be used to further analyze the results and the study can be potentially replicated.

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