Integrating Digital Health into School Nursing for Food Allergy Management: A Systematic Review
Highlights
- Digital health interventions in school settings consistently improve knowledge, preparedness, and self-efficacy in food allergy and anaphylaxis management among school staff, parents, and children.
- Evidence on direct clinical outcomes remains limited, with most studies focusing on educational and psychosocial effects rather than real-world emergency performance.
- Digital health can act as a structural enabler to reduce inequalities in school-based food allergy management, particularly in contexts without institutionalized school nursing services.
- Integrating digital tools into school health frameworks may strengthen preparedness, inclusion, and coordination between schools, families, and healthcare systems.
Abstract
1. Introduction
2. Materials and Methods
2.1. Protocol Registration
2.2. Eligibility Criteria
2.3. Information Sources and Search Strategy
2.4. Study Selection
2.5. Data Extraction
2.6. Quality Appraisal
2.7. Synthesis Approach
3. Results
3.1. Digital Health Interventions Improving School Staff Preparedness
3.2. Digital Tools Supporting Parental Empowerment and Family Psychological Outcomes
3.3. Peer-Based and Child-Facing Digital Interventions Enhancing Inclusion and Coping
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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| Kwen H. et al. 2022—75% [24] | Dupuis R. et al. 2023—85% [25] | Broome B. et al. 2021—65% [14] | |
|---|---|---|---|
| 1. Was true randomization used for assignment of participants to treatment groups? | + | + | + |
| 2. Was allocation to treatment groups concealed? | + | + | + |
| 3. Were treatment groups similar at the baseline? | + | + | + |
| 4. Were participants blind to treatment assignment? | − | − | − |
| 5. Were those delivering the treatment blind to treatment assignment? | − | − | − |
| 6. Were treatment groups treated identically other than the intervention of interest? | + | + | − |
| 7. Were outcome assessors blind to treatment assignment? | − | + | + |
| 8. Were outcomes measured in the same way for treatment groups? | + | + | + |
| 9. Were outcomes measured in a reliable way | + | + | + |
| 10. Was follow up complete and if not, were differences between groups in terms of their follow up adequately described and analyzed? | + | − | − |
| 11. Were participants analyzed in the groups to which they were randomized? | + | + | + |
| 12. Was appropriate statistical analysis used? | + | + | + |
| Dhanjal R. et al. 2023—80% [26] | Kim Y. et al. 2025—90% [11] | Sharma B. et al. 2025—80% [13] | |
|---|---|---|---|
| 1. It is clear in the study what is the “cause” and what is the “effect” [i.e., there is no confusion about which variable comes first]? | + | + | + |
| 2. Was there a control group? | − | + | − |
| 3. Were participants included in any comparisons similar? | + | + | + |
| 4. Were the participants included in any comparisons receiving similar treatment/care, other than the exposure or intervention of interest? | + | + | + |
| 5. Were there multiple measurements of the outcome, both pre and post the intervention/exposure? | + | + | + |
| 6. Were the outcomes of participants included in any comparisons measured in the same way? | + | + | + |
| 7. Were outcomes measured in a reliable way? | + | + | + |
| 8. Was follow-up complete and if not, were differences between groups in terms of their follow-up adequately described and analyzed? | − | − | − |
| 9. Was appropriate statistical analysis used? | + | + | + |
| Vollmer R. et al. 2022—100% [27] | Feldman L. et al. 2022—100% [12] | |
|---|---|---|
| 1. Is there congruity between the stated philosophical perspective and the research methodology? | + | + |
| 2. Is there congruity between the research methodology and the research question or objectives? | + | + |
| 3. Is there congruity between the research methodology and the methods used to collect data? | + | + |
| 4. Is there congruity between the research methodology and the representation and analysis of data? | + | + |
| 5. Is there congruity between the research methodology and the interpretation of results? | + | + |
| 6. Is there a statement locating the researcher culturally or theoretically? | + | + |
| 7. Is the influence of the researcher on the research, and vice- versa, addressed? | + | + |
| 8. Are participants, and their voices, adequately represented? | + | + |
| 9. Is the research ethical according to current criteria or, for recent studies, and is there evidence of ethical approval by an appropriate body? | + | + |
| 10. Do the conclusions drawn in the research report flow from the analysis, or interpretation, of the data? | + | + |
| Poza-Guedes P. et al. 2021—75% [22] | Koo L. et al. 2023—100% [15] | Ruiz-Baqués A. et al. 2018—75% [28] | Hogue S. et al. 2018—90% [23] | Pouessel G. et al. 2017—90% [8] | |
|---|---|---|---|---|---|
| 1. Were the criteria for inclusion in the sample clearly defined? | + | + | + | + | + |
| 2. Were the study subjects and the setting described in detail | + | + | + | + | + |
| 3. Was the exposure measured in a valid and reliable way | + | + | + | + | + |
| 4. Were objective, standard criteria used for measurement of the condition? | + | + | + | + | + |
| 5. Were confounding factors identified? | − | + | − | + | + |
| 6. Were strategies to deal with confounding factors stated? | − | + | − | − | − |
| 7. Were the outcomes measured in a valid and reliable way? | + | + | + | + | + |
| 8. Was appropriate statistical analysis used? | + | + | + | + | + |
| Waserman S. et al. 2021 100% [7] | |
|---|---|
| 1. Are the developers of the policy/consensus guideline [and any allegiences/affiliations] clearly identified? | + |
| 2. Do the developers of the policy/consensus guideline have standing in the field of expertise? | + |
| 3. Are appropriate stakeholders involved in developing the policy/guideline and do the conclusions drawn represent the views of their intended users? | + |
| 4. Are biases due to competing interests acknowledged and responded to? | + |
| 5. Are the processes of gathering and summarizing the evidence described? | + |
| 6. Is any incongruence with the extant literature/evidence logically defended? | + |
| 7. Are the methods used to develop recommendations described? | + |
| Knibb R. et al. 2024 100% [29] | |
|---|---|
| 1. Is the review question clearly and explicitly stated? | + |
| 2. Were the inclusion criteria appropriate for the review question? | + |
| 3. Was the search strategy appropriate? | + |
| 4. Were the sources and resources used to search for studies adequate? | + |
| 5. Were the criteria for appraising studies appropriate? | + |
| 6. Was critical appraisal conducted by two or more reviewers independently? | + |
| 7. Were there methods to minimize errors in data extraction? | + |
| 8. Were the methods used to combine studies appropriate? | + |
| 9. Was the likelihood of publication bias assessed? | + |
| 10. Were recommendations for policy and/or practice supported by the reported data? | + |
| 11. Were the specific directives for new research appropriate? | + |
| Bartnikas L. et al. 2022 100% [30] | |
|---|---|
| 1. Is the generator of the narrative a credible or appropriate source? | + |
| 2. Is the relationship between the text and its context explained? [where when, who with, how] | + |
| 3. Does the narrative present the events using a logical sequence so the reader or listener can understand how it unfolds? | + |
| 4. Do you, as reader or listener of the narrative, arrive at similar conclusions to those drawn by the narrator? | + |
| 5. Do the conclusions flow from the narrative account? | + |
| 6. Do you consider this account to be a narrative? | + |
| Author | Title | Year | Country | Population | Study Design | Aim | Summary | Type of Digital Intervention | Role of Nurse | Outcomes |
|---|---|---|---|---|---|---|---|---|---|---|
| Dhanjal R. et al. [26] | An online, peer-mentored food allergy program [Allergy Pals] | 2023 | USA | Children aged 7–11 with food allergies and their parents | Quasi-experimental study | To evaluate the impact of an online peer-mentoring program | Improved confidence and self-efficacy among children and parents; knowledge remained stable | Online peer-mentoring platform “Allergy Pals” | Educational support | Increased confidence, improved coping; no significant improvement in technical skills |
| Vollmer R. et al. [27] | A Qualitative Investigation of Parent and Child Perceptions | 2022 | USA | Parents and children aged 8–18 with food allergies | Qualitative study [interviews] | To explore perceptions regarding school policies and safety | Parents and children report inconsistencies and limited implementation of policies | Recruitment and data collection through online posts and surveys on Facebook and Qualtrics | Perceived as important figures but not consistently present | Perceived insecurity, anxiety, need for digital support |
| Hogue S. et al. [23] | Barriers to the Administration of Epinephrine in Schools | 2018 | USA | U.S. schools [n = 12,275] | Cross-sectional observational study | To analyze barriers to epinephrine use in schools | Many schools consider epinephrine first-line therapy, but organizational and training barriers delay administration | Web-based survey | Central role but limited by insufficient staffing | Identified organizational and educational barriers |
| Kim Y. et al. [11] | Comparison of simulation-based and online training for school nurses | 2025 | South Korea | School Nurse | Quasi- experimental study | To compare simulation-based vs. online training effectiveness | Simulation more effective for critical thinking and practice; online training useful for theoretical knowledge | High-fidelity simulation [SBAT] vs. online module [OBAT] | Direct recipients of training | Higher self-efficacy and skills with SBAT; better theoretical knowledge with OBAT |
| Kwen H. et al. [24] | Development and Evaluation of a Mobile Web-based Food Allergy Program | 2022 | South Korea | Parents of allergic children [n = 73] | Randomized Controlled Trial | To evaluate a mobile/web educational program | Increased knowledge, self-efficacy, and management behaviors | Mobile/web program [2-week modules: multimedia lessons, quizzes, webinars, coaching, Q&A] vs. paper booklet | Involved in design and educational support | Significant improvement in knowledge and behaviors |
| Ruiz-Baqués A. et al. [28] | Evaluation of an Online Educational Program for Parents and Caregivers | 2018 | Spain | Parents/caregivers [n = 207] | Cross-sectional study | To evaluate a 2-week online educational program | Increased knowledge and high satisfaction [8.7/10] | E-learning with videos, forums, chat | Involved in multidisciplinary training | Improved knowledge and satisfaction |
| Broome B. et al. [14] | Food Allergy Symptom Self-Management with Technology [FASST] | 2021 | USA | Caregivers of newly diagnosed allergic children | Randomized Controlled Trial [protocol] | To develop an app to reduce anxiety and improve self-management | mHealth app for psychosocial support, under testing | Mobile app | Potential facilitators of clinical implementation | Reduced anxiety, depression, caregiver fatigue |
| Poza-Guedes P. et al. [22] | Implementing ICT Education on Food Allergy and Anaphylaxis in Schools | 2021 | Spain | Students, teachers, school nurses | Cross-sectional study | To evaluate an ICT-based program in schools | Increased awareness and faster emergency response | ICT educational program | Key participants and actors in management | Improved knowledge and response time |
| Sharma B. et al. [13] | Online food allergy and anaphylaxis education for school personnel [AllergyAware] | 2025 | Canada | School personnel [170,000 users] | Descriptive observational study | To evaluate a national e-learning course | High satisfaction; strong post-training scores | “AllergyAware” asynchronous e-learning course | Trainers and users | 95% pass rate; increased confidence in epinephrine use |
| Koo L. et al. [15] | Parental Health Literacy, Empowerment, and Advocacy for Food Allergy Safety in Schools | 2023 | USA | Parents of allergic children [n = 313] | Cross-sectional survey | To investigate parental health literacy and advocacy | Effective advocacy linked to empowerment and good school–family relationships | Online Qualtrics survey | Collaborators in school–family communication | Functional literacy predicts effective advocacy |
| Feldman L. et al. [12] | Children’s Perspectives on Food Allergy in Schools | 2024 | Canada | 16 children [5–13 years], with/without allergies | Qualitative study | To explore children’s perceptions and knowledge | Poor peer knowledge; need for accessible educational programs | Educational videos | Collaboration in projects | Identified knowledge gaps; need for peer education |
| Bartnikas L. et al. [30] | Food Allergies in Inner-City Schools: Addressing Disparities | 2022 | USA | Children in U.S. urban schools | Narrative review | To explore disparities and challenges | Racial and socioeconomic disparities; lack of full-time school nurses | Online surveys on Qualtrics | Limited by scarce resources | Identified inequality in access to care and training |
| Dupuis R. et al. [25] | Food Allergy Management for Adolescents Using Behavioral Incentives | 2023 | USA | Adolescents [15–19 years], n = 131 | Randomized Controlled Trial | To evaluate SMS + incentives to increase epinephrine carriage | SMS alone ineffective; financial incentives effective | SMS reminders + financial incentives | Indirect role but involved in education | EAI carriage: 45% [intervention] vs. 23% [control] |
| Waserman S. et al. [7] | Prevention and management of allergic reactions to food in care centres and schools: Practice guidelines | 2021 | International [USA, Canada, Ireland, Italy, Japan, Australia, Mexico] | Schools and childcare centres | Practice guidelines [GRADE-based] | To provide evidence-based recommendations | Recommendations include action plans, training, stock epinephrine; discourage total food bans | Dissemination of protocols | Central implementers | Practical recommendations for school safety |
| Knibb R. et al. [29] | Psychological support needs for children with food allergy and families: Systematic Review | 2024 | International [USA, UK, Italy] | 838 participants [children, parents] | Systematic review | To examine psychological support and effective interventions | Professional-guided CBT effective; self-guided online CBT ineffective | Online CBT self-help programs | Collaboration in referral and support | Reduced anxiety and improved QoL with guided CBT |
| Pouessel G. et al. [8] | Individual healthcare plan for allergic children at school | 2017 | France | Allergic children in Northern French schools [n = 1325 IHPs] | Prospective observational study | To evaluate practical implementation of IHPs | Analyzed emergency kits, meal management, allergy reactions across a school year | Organizational/clinical documentation tool | Support in IHP management and staff training | 70% emergency kits contained epinephrine; variable medications; 60 reactions [2 requiring epinephrine] |
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Share and Cite
Nocerino, R.; Lotito, F.; Montella, E.; Berni Canani, R. Integrating Digital Health into School Nursing for Food Allergy Management: A Systematic Review. Children 2026, 13, 159. https://doi.org/10.3390/children13010159
Nocerino R, Lotito F, Montella E, Berni Canani R. Integrating Digital Health into School Nursing for Food Allergy Management: A Systematic Review. Children. 2026; 13(1):159. https://doi.org/10.3390/children13010159
Chicago/Turabian StyleNocerino, Rita, Flavia Lotito, Emma Montella, and Roberto Berni Canani. 2026. "Integrating Digital Health into School Nursing for Food Allergy Management: A Systematic Review" Children 13, no. 1: 159. https://doi.org/10.3390/children13010159
APA StyleNocerino, R., Lotito, F., Montella, E., & Berni Canani, R. (2026). Integrating Digital Health into School Nursing for Food Allergy Management: A Systematic Review. Children, 13(1), 159. https://doi.org/10.3390/children13010159

