Barriers to Biologic Access in Atopic Dermatitis: Insurance, Cost, and Administrative Challenges
Abstract
1. Introduction
2. Methods
3. Results
3.1. Insurance Barriers
3.2. Racial and Socioeconomic Disparities
3.3. Pediatric Access Barriers
3.4. Prior Authorization and Administrative Burden
3.5. Cost Burden
3.6. Prescriber and Geographic Factors
3.7. Stigma and Psychosocial Barriers
4. Discussion
5. Risk of Bias and Methodological Quality
6. Gaps and Future Research Directions
7. Limitations
8. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
HCA Disclaimer
Conflicts of Interest
References
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| Study | Study Design | Population | Insurance Barriers | Disparities Identified | Prior Authorization Impact | Cost Burden | Prescriber/System Factors |
|---|---|---|---|---|---|---|---|
| Loiselle et al., 2024 [21] | Survey study | AD patients (US) | Frequent insurance delays and denials | Disparities in access among vulnerable populations | PA major cause of delays and denials | High OOP costs drive non-adherence | Patient difficulty navigating insurance |
| Loiselle et al., 2024 [22] | Survey / cross-sectional | US AD patients with comorbidities | Insurance barriers amplified by comorbidity burden | Greater burden in vulnerable populations | PA delays compounded in complex care | Increased OOP costs and polypharmacy burden | System complexity; need for coordinated care |
| Chovatiya et al., 2021 [10] | Cross-sectional | US AD patients | Medicaid-associated financial barriers | Increased burden in Black patients | PA exacerbates delays | Significant OOP expenses | Variable provider awareness of cost burden |
| Cheraghlou & Cohen, 2020 [14] | Retrospective | Medicare population | Reduced biologic access in rural populations | Geographic disparities (rural vs. urban) | PA delays more pronounced in rural areas | Cost limits access | Dermatologist distribution limits prescribing |
| Jónsdóttir et al., 2024 [9] | Cohort study | Pediatric AD | Insurance gaps affect biologic use | Racial disparities in pediatric access | PA delays in pediatric initiation | High caregiver financial burden | Prescribing varies by demographics |
| Begolka et al., 2021 [7] | Economic analysis | US AD patients | Insurance coverage insufficient to offset costs | Low-income populations disproportionately affected | PA increases financial burden | High OOP costs across therapies | Limited provider cost communication |
| Shan et al., 2024 [23] | Policy analysis | US healthcare system | Step therapy restricts access | Disparities driven by cost-containment policies | PA + step therapy increase delays | Cost containment vs. access tradeoff | Increased provider administrative burden |
| Omar et al., 2022 [5] | Program evaluation | Medicaid patients | Significant PA burden | Medicaid populations disproportionately affected | PA delays mitigated by pharmacy support | Cost/formulary barriers persist | Pharmacy concierge improves access |
| Lee et al., 2023 [3] | Claims analysis | US AD patients | Insurance status linked to treatment gaps | Racial and ethnic disparities persist | PA contributes to delays | Higher cost burden in uninsured/Medicaid | Provider bias/system factors influence care |
| Murphy et al., 2022 [24] | Retrospective | Medicare patients | Coverage variability impacts utilization | Geographic prescribing disparities | PA delays affect prescribing trends | Rising biologic costs | Uneven provider distribution |
| Pascal et al., 2020 [20] | Comparative observational study | AD, psoriasis, urticaria (Europe) | Delayed escalation | Variation across diseases | Indirect delays | Cumulative treatment burden | System inefficiencies |
| Eissing et al., 2016 [25] | Observational | Psoriasis patients | Guideline access barriers | Inequities in advanced therapy | System-related delays | Reimbursement limits adherence | Variable guideline adherence |
| Theme | Description | Mechanisms | Populations Most Affected |
|---|---|---|---|
| Insurance & Administrative Barriers [6,19,23,25] | Insurance policies delay or restrict biologic access | Prior authorization, step therapy, formulary restrictions | Medicaid, complex cases |
| Cost Burden [7,19,20,36] | High costs limit initiation and adherence | OOP costs, copays, polypharmacy | Low-income, minority patients |
| Racial & Socioeconomic Disparities [3,9,31] | Unequal access despite higher disease burden | Structural inequities, healthcare access gaps | Black, Hispanic, low-SES populations |
| Prescriber Variability [19,40,41] | Differences in prescribing patterns | Provider knowledge, bias, experience | Rural populations, non-specialty care |
| Geographic Disparities [14,24] | Uneven access across regions | Provider shortages, rural access issues | Rural, underserved populations |
| Health System Differences [19,20,27,28] | System structure influences access | Reimbursement models, policy frameworks | US vs. centralized systems |
| Domain | Strengths | Limitations |
|---|---|---|
| Insurance & Cost Analysis [27,39] | Robust identification of financial barriers across systems | Reliance on claims data; limited patient-level granularity |
| Disparities Research [3,16,31] | Consistent findings across populations, including expanded evidence on structural and racial inequities | Underrepresentation of minorities; limited longitudinal data |
| Administrative Barriers [6,19,23,25] | Strong evidence of PA delays and burden, supported by cross-disease and system-level analyses | Limited quantification of clinical impact |
| Prescriber Behavior [19,24,40] | Identifies provider-level variability, including implementation and adoption barriers | Small sample sizes; cross-sectional designs; limited evaluation of system-level adoption factors |
| Economic Evaluations [37,38] | Demonstrate cost-effectiveness of biologics | Short-term modeling; limited real-world cost data |
| Gap Area | Description | Recommended Research | Priority |
|---|---|---|---|
| Patient Perspectives | Limited patient-reported data on access barriers | Qualitative and mixed-methods studies | High |
| Structural Determinants | Underexplored systemic and policy-level factors, including implementation and health system barriers to therapy adoption | Interdisciplinary policy research | High |
| Prior Authorization Impact | Lack of prospective outcome data and limited understanding of system-level drivers of administrative burden | Cohort studies on treatment delays/outcomes | High |
| Pediatric Disparities | Limited longitudinal pediatric data | Long-term pediatric cohort studies | High |
| Geographic Access | Insufficient mapping of provider distribution | Teledermatology and workforce studies | Medium |
| Cost-Effectiveness | Limited real-world economic data | Longitudinal cost-effectiveness studies | Medium |
| Implementation Barriers | Limited understanding of how new therapies are integrated into clinical practice | Implementation science and health systems research on the adoption of biologics | High |
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Persson, C.; Cooper, B.R.; Cena, S.; Rasul, T.; Stepien, A. Barriers to Biologic Access in Atopic Dermatitis: Insurance, Cost, and Administrative Challenges. Allergies 2026, 6, 29. https://doi.org/10.3390/allergies6030029
Persson C, Cooper BR, Cena S, Rasul T, Stepien A. Barriers to Biologic Access in Atopic Dermatitis: Insurance, Cost, and Administrative Challenges. Allergies. 2026; 6(3):29. https://doi.org/10.3390/allergies6030029
Chicago/Turabian StylePersson, Calista, Benjamin R. Cooper, Stefano Cena, Taha Rasul, and Angelia Stepien. 2026. "Barriers to Biologic Access in Atopic Dermatitis: Insurance, Cost, and Administrative Challenges" Allergies 6, no. 3: 29. https://doi.org/10.3390/allergies6030029
APA StylePersson, C., Cooper, B. R., Cena, S., Rasul, T., & Stepien, A. (2026). Barriers to Biologic Access in Atopic Dermatitis: Insurance, Cost, and Administrative Challenges. Allergies, 6(3), 29. https://doi.org/10.3390/allergies6030029

