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

Wenli Xu; Jia Liu; Xinhai Meng; Yuxin Zhang; Yaxuan Xu; Lihua Zhou; Fengying Zhang; Hui Wang

doi:10.1016/j.midw.2024.103994

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

Midwifery. 2024 Apr 11:133:103994. doi: 10.1016/j.midw.2024.103994. Online ahead of print.

Authors

Wenli Xu¹, Jia Liu¹, Xinhai Meng¹, Yuxin Zhang¹, Yaxuan Xu¹, Lihua Zhou², Fengying Zhang³, Hui Wang³

Affiliations

¹ School of Nursing, Anhui Medical University, No.81 Meishan Road, Shushan District, Hefei City 230032 Anhui Province, PR China.
² School of Nursing, Anhui Medical University, No.81 Meishan Road, Shushan District, Hefei City 230032 Anhui Province, PR China. Electronic address: aydzlh2000@126.com.
³ The First Affiliated Hospital of Anhui Medical University, No.218 Jixi Road, Shushan District, Hefei City 230022 Anhui Province, PR China.

PMID: 38608543
DOI: 10.1016/j.midw.2024.103994

Abstract

Background: Women undergoing caesarean section (CS) experience difficulties when preparing for discharge, and readiness for hospital discharge (RHD) may depend on individual characteristics.

Objective: 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.

Methods: 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.

Results: 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).

Conclusions: 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.

Keywords: Caesarean section; Latent profile analysis; Patient discharge; Postnatal care; Readiness for hospital discharge.