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Pathways to School Reentry for Children and Young People with a Medical or Mental Health Condition: An International Delphi Study Cover

Pathways to School Reentry for Children and Young People with a Medical or Mental Health Condition: An International Delphi Study

Open Access
|Mar 2025

Figures & Tables

cie-6-1-159-g1.png
Figure 1

Flow chart depicting the mixed Delphi method study protocol. A steering workgroup completed the initial rapid meta review, drafted the questions for the different Delphi rounds, and organized the results.

Table 1

Demographic details and professional experience of the participants in the three rounds of our Delphi study.

ROUND 1ROUND 2ROUND 3
Participants233229
Sex:
      Female78%72%76%
      Male22%28%24%
Age:
      Mean age (SD)45 (14.80)52 (7.98)47.69 (14.15)
      Age range26–7629–6428–76
Field Experience:
      Physical Health Experts161713
      Mental Health Experts71516
      Mean Years of Experience (SD)12.65 (9.56)20.37 (11.65)14.15 (11.29)
      Range1–405–391–40
Field of Work*:
      Education112514
      Academia/Research8610
      Health Care414
      Other001
CountriesAustralia
Austria
Canada
Ireland
Italy
Namibia
Slovenia
Spain
Switzerland
United Kingdom
USA
Australia
Austria
Belgium
Finland
Greece
Hungary
Italy
Netherlands
Romania
Switzerland
United Kingdom
USA
Australia
Canada
Ethiopia
Finland
Greece
Italy
Namibia
Netherlands
Spain
Switzerland
USA

[i] Note. *“Health Care” includes nurses, doctors, Child Life Specialists and other health staff. “Education” includes primary and secondary hospital and mainstream schoolteachers, principals, and education liaison. SD = Standard Deviation.

cie-6-1-159-g2.png
Figure 2

The three main timeframes and subsequent time phases of school reentry initially identified through the rapid literature review.

Table 2

Expert agreement (IRQ), mean Likert score (Mean), and standard deviation (SD) regarding; i) each action of the Physical HSRM, ii) the overall model (Overall), iii) the use of quantitative, qualitative, or a combination (Both) of approaches to assess school readiness, and iv) the use of applications and games that present the disease as a battle to be fought.

AGREEMENT FOR ACTIONS OF THE PHYSICAL H-SRM
1. WELCOMING2. INFORMED CONSENT3. EMPOWER COMMUNICATION AND CONNECTIONS4. TAILORED LESSON PLANNING, DELIVERY, AND REPORTS5. ASSESS, MONITOR, AND SUPPORT6. COORDINATOR/POINT PERSON7. MULTIDISCIPLINARY CARE TEAM8. EXPLAIN THE ILLNESS AND ITS MANAGEMENT IN SCHOOL9. PSYCHOLOGICAL SUPPORTOVERALL
Mean6.66.66.86.36.46.46.76.46.46.4
SD0.50.60.61.31.10.60.50.80.80.9
IRQ1101111111
PHYSICAL H-SRM SCHOOL READINESS ASSESSMENT METHODS AGREEMENTAGREEMENT ON REPRESENT DISEASE AS A BATTLE
QUANTITATIVEQUALITATIVEBOTH
Mean5.66.16.53.9
SD1.21.10.82.1
IRQ2.3*1.314*

[i] * Indicates lack of agreement.

Table 3

Experts’ agreement (IRQ), mean Likert score (Mean), and standard deviation (SD) regarding, i) each action of the Mental H-SRM, ii) the whole model (Overall), iii) the use of quantitative, qualitative, or a combination (Both) of school readiness assessment approaches, and iv) the use of images or software applications and games that present the condition as a battle to be fought.

AGREEMENT ON ACTIONS OF THE MENTAL H-SRM
1. WELCOMING2. INFORMED CONSENT3. EMPOWER COMMUNICATION AND CONNECTIONS4. TAILORED LESSON PLANNING, DELIVERY, AND REPORTS5. ASSESS, MONITOR, AND SUPPORT6. COORDINATOR/POINT PERSON7. MULTIDISCIPLINARY CARE TEAM8. EXPLAIN THE ILLNESS AND ITS MANAGEMENT IN SCHOOL9. PSYCHOLOGICAL SUPPORTOVERALL
Mean6.56.56.36.26.15.76.36.25.96.5
SD0.50.70.91.11.11.70.81.11.30.5
IRQ1111121111
MENTAL H-SRM SCHOOL READINESS ASSESSMENT METHODS AGREEMENTAGREEMENT ON REPRESENT CONDITION AS A BATTLE
QUANTITATIVEQUALITATIVEBOTH
Mean66.46.73.5
SD1.20.50.52.1
IRQ1113*

[i] * Indicates lack of agreement.

cie-6-1-159-g3.png
Figure 3

Overview of the time phases and actions in the final school reentry models for learners with physical or mental health needs. See Supplementary files for more details.

Note: See Supplementary Files 3 and 4 for a high resolution and complete version of both reentry models.

DOI: https://doi.org/10.5334/cie.159 | Journal eISSN: 2631-9179
Language: English
Submitted on: Oct 31, 2024
|
Accepted on: Jan 17, 2025
|
Published on: Mar 5, 2025
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Michele Capurso, Valentina Moracci, Simone Borsci, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.