Macro-structural predictors of Australian family day care quality

Vincent Char; Linda J. Harrison; Hui Li

doi:10.3389/fpubh.2023.1114256

Macro-structural predictors of Australian family day care quality

Vincent Char, Linda J. Harrison, Hui Li^*

^*Corresponding author for this work

Macquarie School of Education

Research output: Contribution to journal › Article › peer-review

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Abstract

Introduction: This study explores the predictive power of macro-structural characteristics on quality rating and improvement system (QRIS) outcomes of Family Day Care (FDC) services in Australia. Methods: The dataset consisted of 441 FDC National Quality Standard (NQS) ratings from all Australian states and territories, with overall ratings of Exceeding NQS, Meeting NQS, Working Towards NQS, or Significant Improvement Required. Results: Multinomial logistic regressions confirmed that management type, community socioeconomic status (SES), level of urbanization, and government jurisdiction explained 6.9 to 19.3% of the variation in QRIS outcomes. Results indicated that lower FDC NQS ratings were more likely for (1) private for-profit vs. not-for-profit; (2) low-SES vs. high-SES area; and (3) regional or remote area vs. metropolitan. State/territory jurisdiction also influenced NQS ratings. Discussion: These findings imply the need for policy attention to inequalities in FDC quality associated with systemic and organizational differences. Greater effort is needed to promote equality and equity in FDC services.

Original language	English
Article number	1114256
Pages (from-to)	1-9
Number of pages	9
Journal	Frontiers in Public Health
Volume	11
DOIs	https://doi.org/10.3389/fpubh.2023.1114256
Publication status	Published - 18 May 2023

Bibliographical note

Copyright the Author(s) 2023. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

family day care
national quality framework
systemic features
early childcare
QRIS

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10.3389/fpubh.2023.1114256Licence: CC BY

Publisher version (open access)Final published version, 223 KBLicence: CC BY

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abstract = "Introduction: This study explores the predictive power of macro-structural characteristics on quality rating and improvement system (QRIS) outcomes of Family Day Care (FDC) services in Australia. Methods: The dataset consisted of 441 FDC National Quality Standard (NQS) ratings from all Australian states and territories, with overall ratings of Exceeding NQS, Meeting NQS, Working Towards NQS, or Significant Improvement Required. Results: Multinomial logistic regressions confirmed that management type, community socioeconomic status (SES), level of urbanization, and government jurisdiction explained 6.9 to 19.3% of the variation in QRIS outcomes. Results indicated that lower FDC NQS ratings were more likely for (1) private for-profit vs. not-for-profit; (2) low-SES vs. high-SES area; and (3) regional or remote area vs. metropolitan. State/territory jurisdiction also influenced NQS ratings. Discussion: These findings imply the need for policy attention to inequalities in FDC quality associated with systemic and organizational differences. Greater effort is needed to promote equality and equity in FDC services.",

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Macro-structural predictors of Australian family day care quality

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