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Abstract

Background: The Maternity Care Classification System is a novel system developed in Australia to classify models of maternity care based on their characteristics. It will enable large-scale evaluations of maternal and perinatal outcomes under different models of care independently of the model’s name.Aim: To assess the accuracy, repeatability and reproducibility of the Maternity Care Classification System.Method: All 70 public maternity services in New South Wales, Australia, were invited to classify three randomly allocated model case-studies using a web-based survey tool and repeat their classifications 4–6 weeks later. Accuracy of classifications was assessed against the correct values for the case-studies; repeatability (intra-rater reliability) was analysed by percent agreement and McNemar’s test between the same participants in both surveys; and reproducibility (inter-rater reliability) was assessed by percent agreement amongst raters of the same case-study combined with Krippendorff’s alpha coefficient for a subset of characteristics.Results: The accuracy of the Maternity Care Classification System was high with 90.8% of responses correctly classified; was repeatable, with no statistically significant change in the responses between the two survey instances (mean agreement 91.5%, p > 0.05 for all but one variable); and was reproducible with a mean percent agreement across 9 characteristics of 83.6% and moderate to substantial agreement as assessed by a Krippendorff’s alpha coefficient of 0.4–0.8.Conclusion: The results indicate the Maternity Care Classification System is a valid system for classifying models of care in Australia, and will enable the legitimate evaluation of outcomes by different models of care.

Item Type:	Article
Authors/Creators:	Donnolley, NR and Chambers, GM and Butler-Henderson, KA and Chapman, MG and Sullivan, E
Keywords:	MaCCs, maternity, classification
Journal or Publication Title:	Women and Birth
Publisher:	Elsevier BV
ISSN:	1871-5192
DOI / ID Number:	https://doi.org/10.1016/j.wombi.2018.08.161
Copyright Information:	Copyright 2018 Australian College of Midwives
Related URLs:	Google Scholar: Butler-Henderson, KA UTAS Profile: Butler-Henderson, KA
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