Mixed quantitative-qualitative cross-sectional study. One part analyses the reasons for dropout qualitatively, and the other studies the parameters associated with dropouts in a quantitative, descriptive and relational way.
Our target population were women who present with urinary urgency with pure UUI in whom treatment with anticholinergic drugs is prescribed during the year 2023 in our centre. Only those patients who did not previously improve with non-pharmacological measures such as bladder re-education, attention to the intake of bladder stimulants and evaluation of diuretic administration are included.
Variables:
- Main: Abandonment of medication (yes/no), nª episodes, urination frequency, nocturia, ICQ-SF, perineal testing, concomitant prolapse, previous pelvic floor surgery, demographics (age, BMI, hormonal status, parity, diabetes), previous IUU treatment, description of the reason for abandonment.
To collect information, a specific Excel® type database was used that included the sociodemographic and clinical data of the patients obtained from the anamnesis and clinical history.
The results were analysed with the Stata 14.0 statistical analysis package:
-In the descriptive analysis, the categorical variables (absolute numbers and/or percentage) and the continuous variables were presented with the mean and standard deviation, if they follow the normal distribution; with median and percentiles if they do not follow this distribution.
-In the bivariate analysis of the data, the categorical variables were compared with the Chi square test (or Fisher's exact test when indicated) and the continuous variables, depending on the normality of the data, were analysed according to the Student's t test or with a McNemar test if non-parametric tests were not required.
- The multivariate analysis was not addressed, due to the only association of parameters in the bivariate, which did not allow combinations.
The introduction of cases maintained the confidentiality of data collected and identified only through coding, so no type of information that would allow the participants to be identified was included.
The treatment, communication and transfer of personal information obtained by written or digital means is protected by Organic Law 3/2018 of December 5, on data protection and guarantee of digital rights.