A comparison of assessment tools for childcare centers in high vs. low resource settings

Hy V Huynh1, Eve Puffer1,2, Jan Ostermann1,3

  • 1Center for Health Policy & Inequalities Research, Duke Global Health Institute, Duke University, Durham, NC, United States.

Frontiers in Public Health
|November 28, 2024
PubMed

Insights

A new childcare quality assessment tool, WCI-QCUALS, is effective for low-resource settings. It better differentiates quality than the ECERS-R and is a feasible, appropriate standalone option for improving early childhood education.

Area of Science:

  • Child Development
  • Early Childhood Education
  • Global Health

Background:

  • Existing childcare assessment tools developed for high-resource settings may not be suitable for low-resource contexts.
  • Culturally inappropriate or unavailable features can skew quality assessments.
  • There is a need for contextually relevant tools to accurately measure and improve childcare quality.

Purpose of the Study:

  • To compare a novel assessment tool (WCI-QCUALS) developed for low-resource settings with a high-resource "gold standard" tool (ECERS-R).
  • To evaluate the feasibility and appropriateness of the WCI-QCUALS for assessing childcare quality in low-resource environments.

Main Methods:

  • A randomized sample of 34 childcare centers in a low-resource setting was used.
  • The novel WCI-QCUALS tool was compared against the standardized ECERS-R.
  • The study involved approximately 918 children across the sampled centers.

Main Results:

  • The WCI-QCUALS tool demonstrated superior performance in differentiating among childcare settings compared to the ECERS-R.
  • The WCI-QCUALS effectively identified centers with the lowest quality ratings.
  • The tool was found to be feasible and appropriate as a standalone assessment.

Conclusions:

  • The WCI-QCUALS is a suitable and effective tool for assessing childcare quality in low-resource settings.
  • Improved assessment tools can enhance the identification of low-quality care for intervention.
  • Further validation in diverse international contexts is recommended to broaden understanding of cross-contextual quality measurement.

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