Status and predictors of readiness for hospital discharge in women with caesarean section: A latent profile analysis

Women undergoing caesarean section (CS) experience difficulties when preparing for discharge, and readiness for hospital discharge (RHD) may depend on individual characteristics. To explore the status of RHD in women with CS, identify the latent classes of RHD, and analyse predictors from a bio-psycho-social perspective. A sample of 410 women with CS completed the following questionnaires on demographic and obstetric characteristics: Readiness for Hospital Discharge Study-New Mother Form (RHDS-NMF), Parents' Postnatal Sense of Security (PPSS), Quality of Discharge Teaching Scale (OB-QDTS), and Postpartum Support Questionnaire (PSQ). Latent profile analysis was used to identify the latent classes of RHD. Multiple logistic regression analysis was used to analyse the predictors. In total, 96.6 % of women with CS reported discharge ready, and the score of RHDS-NMF was 136.09 ± 25.59. Three latent classes were identified as Low RHD (16.1 %), Moderate RHD (41.7 %), and High RHD (42.2 %). Primiparas (OR = 2.867 / 1.773; P = 0.012 / 0.033), emergency CS (OR = 3.134 / 2.470; P = 0.006 / 0.002), lower levels of PPSS (OR = 0.909 / 0.942; P = 0.009 / 0.013) and OB-ODTS (OR = 0.948 / 0.975; P < 0.001) were associated with Moderate and Low RHD. Lower PSQ predicted a higher probability of Low RHD (OR = 0.955; P = 0.038). The perception of RHD by women in the study was inaccurate, with more than half not being classified as High RHD. Healthcare professionals can anticipate interventions for maternal well-being based on the characteristics of the different RHD classes.