IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v22y2025i11p1619-d1778460.html
   My bibliography  Save this article

What Gets Measured Gets Counted: Food, Nutrition, and Hydration Non-Compliance in Ontario Long-Term Care Homes and the Role of Proactive Compliance Inspections, 2024

Author

Listed:
  • Kaitlyn R. Wilson

    (Brescia School of Food and Nutritional Sciences, Western University, London, ON N6A 3K7, Canada)

  • Laura C. Ugwuoke

    (Brescia School of Food and Nutritional Sciences, Western University, London, ON N6A 3K7, Canada)

  • Sofia Culotta

    (Brescia School of Food and Nutritional Sciences, Western University, London, ON N6A 3K7, Canada)

  • Lisa Mardlin-Vandewalle

    (Brescia School of Food and Nutritional Sciences, Western University, London, ON N6A 3K7, Canada)

  • June I. Matthews

    (Brescia School of Food and Nutritional Sciences, Western University, London, ON N6A 3K7, Canada)

  • Jamie A. Seabrook

    (Brescia School of Food and Nutritional Sciences, Western University, London, ON N6A 3K7, Canada
    Department of Epidemiology & Biostatistics, Western University, London, ON N6G 2M1, Canada
    Department of Paediatrics, Western University, London, ON N6A 5W9, Canada
    Children’s Health Research Institute, London, ON N6C 2V5, Canada)

Abstract

Food and nutrition services are critical to the health of long-term care home (LTCH) residents, yet little is known about how regulatory inspections detect non-compliance with Food, Nutrition, and Hydration (FNH) standards. We conducted a cross-sectional study of administrative inspection data from all licensed LTCHs in Ontario, Canada. One inspection report was randomly selected per LTCH, yielding a sample of 623 LTCHs. The data were collected for the period spanning 1 January 2024 to 31 December 2024. The primary exposure was use of the FNH inspection protocol, and the outcome was FNH non-compliance, defined as at least one Written Notification or Compliance Order. Statistical analyses included chi-square tests for categorical variables and independent samples t-tests (including Welch’s t-tests where appropriate) for continuous variables, with effect sizes (Φ, Cramer’s V, Cohen’s d) reported to complement p -values. This study did not require research ethics review under Western University policy, consistent with Canada’s Tri-Council Policy Statement (TCPS 2, Article 2.2) regarding use of publicly available data. FNH non-compliance was identified in 12.2% ( n = 76) of all LTCHs, and in 43.7% of those using the FNH protocol. Use of the FNH protocol was associated with a higher likelihood of detecting FNH non-compliance compared with other inspection protocols ( p < 0.001, Φ = 0.55). LTCH ownership and inspection type were also associated with detection patterns. This exploratory study provides the first province-wide analysis of FNH non-compliance in Ontario LTCHs. Findings suggest that inspection protocols influence detection of FNH issues, underscoring the need for further comparative and qualitative research to understand the organizational factors underlying non-compliance.

Suggested Citation

  • Kaitlyn R. Wilson & Laura C. Ugwuoke & Sofia Culotta & Lisa Mardlin-Vandewalle & June I. Matthews & Jamie A. Seabrook, 2025. "What Gets Measured Gets Counted: Food, Nutrition, and Hydration Non-Compliance in Ontario Long-Term Care Homes and the Role of Proactive Compliance Inspections, 2024," IJERPH, MDPI, vol. 22(11), pages 1-20, October.
  • Handle: RePEc:gam:jijerp:v:22:y:2025:i:11:p:1619-:d:1778460
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/22/11/1619/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/22/11/1619/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:22:y:2025:i:11:p:1619-:d:1778460. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.