Status and predictors of readiness for hospital discharge in women with caesarean section : A latent profile analysis
Copyright © 2024 Elsevier Ltd. All rights reserved..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:133 |
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| Enthalten in: |
Midwifery - 133(2024) vom: 11. Apr., Seite 103994 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Xu, Wenli [VerfasserIn] |
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| Links: |
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| Themen: |
Caesarean section |
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| Anmerkungen: |
Date Revised 12.04.2024 published: Print-Electronic Citation Status Publisher |
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| doi: |
10.1016/j.midw.2024.103994 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM370978536 |
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| 245 | 1 | 0 | |a Status and predictors of readiness for hospital discharge in women with caesarean section |b A latent profile analysis |
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| 500 | |a published: Print-Electronic | ||
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| 520 | |a Copyright © 2024 Elsevier Ltd. All rights reserved. | ||
| 520 | |a BACKGROUND: Women undergoing caesarean section (CS) experience difficulties when preparing for discharge, and readiness for hospital discharge (RHD) may depend on individual characteristics | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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) | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Caesarean section | |
| 650 | 4 | |a Latent profile analysis | |
| 650 | 4 | |a Patient discharge | |
| 650 | 4 | |a Postnatal care | |
| 650 | 4 | |a Readiness for hospital discharge | |
| 700 | 1 | |a Liu, Jia |e verfasserin |4 aut | |
| 700 | 1 | |a Meng, Xinhai |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Yuxin |e verfasserin |4 aut | |
| 700 | 1 | |a Xu, Yaxuan |e verfasserin |4 aut | |
| 700 | 1 | |a Zhou, Lihua |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Fengying |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Hui |e verfasserin |4 aut | |
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