Clinical Load Index (CLI): Design, Development, and Review of Research

This article describes the development of the Clinical Load Index (CLI), a new metric for accurately describing and comparing staffing levels across college and university counseling centers. The CLI was developed by the Center for Collegiate Mental Health (CCMH) with support from the Association for University and College Counseling Center Directors (AUCCCD) and the International Accreditation of Counseling Services, Inc. (IACS). Historical approaches to measuring staffing levels are reviewed alongside the design principles used to develop the CLI. Data collection methods, resulting CLI distributions from four academic years (2017–2018, 2018–2019, 2020–2021, and 2021–2022), and research findings using the CLI are reviewed. Implications for staffing college and university counseling centers are reviewed.

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Publication Details

Journal
Journal of College Student Mental Health
Published
2024-08-16
DOI
https://doi.org/10.1080/28367138.2024.2391750
Citations
3
Primary Topic
Healthcare Operations and Scheduling Optimization
Type
article
Field-Weighted Citation Impact
2.23
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article

Clinical Load Index (CLI): Design, Development, and Review of Research

Alaina L. Cummins, Rebecca A. Janis, Brett E. Scofield, Benjamin D. Locke
3 citations
Journal of College Student Mental Health
Healthcare Operations and Scheduling Optimization
2.23
article

Clinical Load Index (CLI): Design, Development, and Review of Research

Alaina L. Cummins, Rebecca A. Janis, Brett E. Scofield, Benjamin D. Locke
article en
3 citations

Abstract

This article describes the development of the Clinical Load Index (CLI), a new metric for accurately describing and comparing staffing levels across college and university counseling centers. The CLI was developed by the Center for Collegiate Mental Health (CCMH) with support from the Association for University and College Counseling Center Directors (AUCCCD) and the International Accreditation of Counseling Services, Inc. (IACS). Historical approaches to measuring staffing levels are reviewed alongside the design principles used to develop the CLI. Data collection methods, resulting CLI distributions from four academic years (2017–2018, 2018–2019, 2020–2021, and 2021–2022), and research findings using the CLI are reviewed. Implications for staffing college and university counseling centers are reviewed.

Journal of College Student Mental HealthVol. 38(4)
Pennsylvania State University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 13%
Healthcare Operations and Scheduling Optimization
2.23
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