Planetary Health and Educational System Resilience: Lessons from COVID-19 Disruptions to Special Education Evaluation Systems
Abstract
1. Introduction
2. Materials and Methods
2.1. Design and Participants
2.2. Context and Conceptual Framework: Systems Theory, Equity, and Planetary Health
2.3. Data Collection and Analysis
2.4. Ethical Considerations
3. Results
3.1. Quantitative Findings
3.2. Qualitative Findings
- Assessment Validity and Reliability—Diagnosticians reported persistent challenges ensuring assessment validity during remote and hybrid evaluation conditions, echoing national concerns regarding non-standardized testing environments and compromised psychometric integrity during COVID-19 disruptions [6,7]. Participants cited environmental distractions, caregiver presence, limited student engagement, and technological disruptions as primary barriers to reliability. These concerns were reported across district types but were most pronounced in rural districts with limited broadband access, consistent with documented geographic inequities in digital infrastructure [2,3]. To mitigate these challenges, diagnosticians described increased reliance on record reviews, rating scales, observational data, and data triangulation, reflecting adaptations noted in prior pandemic-era assessment literature [3,4].
- Communication Barriers and Family Engagement—Participants described significant breakdowns in communication with families during school closures, particularly related to obtaining informed consent and explaining evaluation procedures remotely. Diagnosticians noted that families with limited digital literacy or inconsistent internet access experienced greater difficulty engaging in the evaluation process, contributing to delayed referrals and prolonged timelines. These challenges align with research documenting pandemic-related disruptions to school–family partnerships and inequitable access to special education services [2,3]. Participants emphasized that communication barriers often compounded preexisting inequities, particularly for families already marginalized within educational systems [10].
- Workload and Systemic Capacity—All participants reported substantial increases in workload following the return to in-person instruction, including large referral backlogs, expanded caseloads, staffing shortages, and pressure to address evaluations deferred during school closures. Diagnosticians indicated that capacity strain persisted well beyond the immediate pandemic period, extending into 2023, mirroring national findings related to educator burnout and system overload during prolonged recovery [9]. These experiences aligned closely with quantitative findings showing prolonged evaluation timelines and uneven recovery across the 14 participating districts, reinforcing systems-theory assertions that disruption to one subsystem generates cascading strain across the broader educational network [1].
- Professional Learning Needs—Diagnosticians consistently identified gaps in professional preparation related to virtual assessment practices, ethical decision-making under nonstandard conditions, and remote collaboration with families and multidisciplinary teams. Participants emphasized the need for targeted professional development focused on virtual assessment validity, culturally responsive family engagement, and crisis-responsive evaluation protocols. These findings align with broader calls for restructuring educator preparation and ongoing professional learning to enhance resilience and equity in disrupted systems [8,9]. Participants noted that existing training models were largely designed for stable, in-person contexts and were insufficient for sustained crisis conditions.
3.3. Integration of Findings
4. Discussion
4.1. Systemic Resilience and Capacity
4.2. Technological Equity and Access
4.3. Human-Centered Practice and Professional Preparation
4.4. Equity, Race, and Structural Limitations
4.5. Implications for Policy and Practice
4.6. Limitations
- Lack of Race- and Gender-Disaggregated Data—Although equity framed the conceptual orientation of this study, race- and gender-disaggregated referral and evaluation data were not available within the dataset. As a result, the analysis could not directly examine how referral patterns, evaluation timelines, or disability classifications varied across racialized or gendered groups. This limitation reflects broader constraints in special education data systems and underscores the need for future research that explicitly centers race, gender, and intersectional identity in analyses of diagnostic processes.
- Reliance on Self-Reported District-Level Data—Quantitative findings were based on diagnostician-reported estimates of referral volume, evaluation timelines, and classification trends rather than archival district records. While diagnosticians are uniquely positioned to observe system-level patterns, self-reported data may be subject to recall bias or variation in local reporting practices. Future studies should triangulate survey data with administrative records where feasible.
- Collapsed Urban and Suburban District Categories—Urban and suburban districts were combined in quantitative analyses due to sample size constraints and overlapping operational characteristics during remote service delivery. However, these environments differ meaningfully in population density, resource distribution, and service infrastructure. Collapsing these categories limits contextual nuance and may obscure important differences in how referral and evaluation systems function across district types.
- Limited Qualitative Sample Size—Qualitative findings were drawn from interviews with 12 educational diagnosticians. While sufficient for thematic analysis and mixed-methods integration, the sample does not capture the full diversity of diagnostician experiences across Louisiana. Perspectives from additional districts, particularly those serving highly urbanized or historically marginalized communities, may yield additional insights.
- State-Specific Context—This study focused exclusively on public school districts within Louisiana. State-level policy structures, workforce capacity, and digital infrastructure shaped both pandemic disruption and recovery, which may limit the generalizability of findings to other states or international contexts. Comparative, multi-state research would strengthen understanding of how systemic resilience varies across policy environments.
5. Conclusions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| IDEA | Individuals with Disabilities Education Act |
| MTSS | Multi-Tiered Systems of Supports |
| EBD | Emotional/Behavioral Disabilities |
| OHI | Other Health Impairments |
| SLD | Specific Learning Disability |
| SpEd-PP | Special Education Process Profile |
| IRB | Institutional Review Board |
| SDG | Sustainable Development Goal |
| SEL | Social and Emotional Learning |
References
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- United Nations General Assembly. Transforming Our World: The 2030 Agenda for Sustainable Development; A/RES/70/1. 21 October 2015. Available online: https://www.refworld.org/legal/resolution/unga/2015/en/111816 (accessed on 2 February 2026).
- Individuals with Disabilities Education Act (IDEA), 20 U.S.C. § 1400. 2004. Available online: https://www.ed.gov/laws-and-policy/individuals-disabilities/idea (accessed on 1 January 2026).
- U.S. Department of Education. Office of Special Education Programs (OSEP). In OSEP Fast Facts: Children with Disabilities (IDEA) 2021; U.S. Department of Education: Washington, DC, USA, 2022. Available online: https://sites.ed.gov/idea/ (accessed on 1 November 2025).
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| Domain | Focus Area | Example Constructs Assessed |
|---|---|---|
| Demographics | Professional context | Years of experience, district type, caseload |
| Pre-pandemic Procedures | Baseline practices | Referral timelines, evaluation workflows |
| Pandemic Adaptations | Crisis response | Remote assessment use, procedural changes |
| Post-pandemic Recovery | System rebound | Referral backlogs, staffing capacity |
| Professional Learning Needs | Capacity building | Training in virtual assessment, ethics |
| Time Period | Direction of Change vs. Previous Period | Percent Change |
|---|---|---|
| Pre-pandemic (baseline) | — | — |
| During pandemic (2020–2021) | Decrease | −38% |
| Post-return to in-person learning (2022 onward) | Increase | +62% |
| Time Period | Average Days to Complete Evaluation |
|---|---|
| Pre-pandemic | 58 days |
| During pandemic (school closures) | 97 days |
| Post-pandemic recovery (2024) | 76 days |
| Disability Category | Direction of Change | Percent Change |
|---|---|---|
| emotional/behavioral disabilities | Increase | +21% |
| other health impairments | Increase | +17% |
| specific learning disabilities | Increase | +12% |
| District Type | Relative Delay Index (Urban/Suburban = 1.00) | Percent Longer Delay |
|---|---|---|
| Urban/Suburban | 1.00 | — |
| Rural | 1.24 | +24% |
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© 2026 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
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Goff, M.G. Planetary Health and Educational System Resilience: Lessons from COVID-19 Disruptions to Special Education Evaluation Systems. Challenges 2026, 17, 8. https://doi.org/10.3390/challe17010008
Goff MG. Planetary Health and Educational System Resilience: Lessons from COVID-19 Disruptions to Special Education Evaluation Systems. Challenges. 2026; 17(1):8. https://doi.org/10.3390/challe17010008
Chicago/Turabian StyleGoff, Marie Gomez. 2026. "Planetary Health and Educational System Resilience: Lessons from COVID-19 Disruptions to Special Education Evaluation Systems" Challenges 17, no. 1: 8. https://doi.org/10.3390/challe17010008
APA StyleGoff, M. G. (2026). Planetary Health and Educational System Resilience: Lessons from COVID-19 Disruptions to Special Education Evaluation Systems. Challenges, 17(1), 8. https://doi.org/10.3390/challe17010008

