137
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Funding the Frontline: A Comparison of Funding Model Effects on Residential Childcare Staff Retention

, ORCID Icon, &
Pages 427-444 | Published online: 28 Aug 2023
 

ABSTRACT

In this study, we seek to explore the demographic features of the frontline residential workforce (especially during the COVID-19 pandemic) and the potential impact of different funding models on the retention of residential care staff. More specifically, we compare the effects of a per-diem funding model and a budget-based funding model on the turnover rates of frontline child-care staff members at The Children’s Village, a large child welfare agency in Dobbs Ferry, NY, USA. This study includes analysis of employee data from two cohorts over a period of five years (2017- 2021), with an average annual point in time cohort of 1,263 employees over the five year sample period. Using descriptive analyses, we find the following: (1) the impact of the COVID-19 pandemic is visible in several key ways; (2) the budget-based programs showed a higher median length of stay, but a lower average and (3) turnover in per diem programs was higher than in budget-based programs in four out of five years, and overall across the five-year sample. We offer possible reasons for our findings, relevant implications, and areas for future research.

Disclosure Statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 384.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.