Literature DB >> 16532911

Satisfying parents' preferences with regard to various models of postnatal care is cost-minimizing.

Lotta Ellberg1, Ulf Högberg, Berit Lundman, Lars Lindholm.   

Abstract

BACKGROUND: This study describes three options for postnatal care in Sweden and contains a cost analysis of the options in various combinations. The aim of the study was to calculate the cost of a postnatal care model according to new parents' preferences.
METHODS: Staff costs were calculated for various models of postnatal care, comprising the maternity ward, the family suite, and/or the early discharge program. One of the models was based on answers from 342 parents who specified their preferences with regard to postnatal care in the event of another birth.
RESULTS: Comparing costs for five different models of postnatal care showed that the proportion of mothers receiving care at the maternity ward crucially influences the total costs. The staff costs differed significantly between the models, ranging from US$448 000 to US$778 000 per 1500 mother-child dyads. MAIN OUTCOME MEASURES: Cost calculation of various care models and parents' preferences for postnatal care.
CONCLUSIONS: Because the parents' preferences with regard to postnatal care created one of the most cost-minimizing care models in the study, it would be possible to better meet parent's desires and, at the same time, reduce costs, without increasing risks in comparison with the early discharge program.

Entities:  

Mesh:

Year:  2006        PMID: 16532911     DOI: 10.1080/00016340500486784

Source DB:  PubMed          Journal:  Acta Obstet Gynecol Scand        ISSN: 0001-6349            Impact factor:   3.636


  2 in total

1.  Does Coordinated Postpartum Care Influence Costs?

Authors:  Elisabeth Zemp; Andri Signorell; Elisabeth Kurth; Oliver Reich
Journal:  Int J Integr Care       Date:  2017-03-31       Impact factor: 5.120

2.  Safe start at home: what parents of newborns need after early discharge from hospital - a focus group study.

Authors:  Elisabeth Kurth; Katrin Krähenbühl; Manuela Eicher; Susanne Rodmann; Luzia Fölmli; Cornelia Conzelmann; Elisabeth Zemp
Journal:  BMC Health Serv Res       Date:  2016-03-08       Impact factor: 2.655

  2 in total

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