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Record W4207075249 · doi:10.1111/jppi.12408

Preventing, mitigating, and managing future pandemics for people with an intellectual and developmental disability ‐ Learnings from <scp>COVID</scp>‐19: A scoping review

2022· review· en· W4207075249 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Policy and Practice in Intellectual Disabilities · 2022
Typereview
Languageen
FieldMedicine
TopicChronic Disease Management Strategies
Canadian institutionsSurrey Place Centre
Fundersnot available
KeywordsGovernment (linguistics)PandemicPublic relationsPersonal protective equipmentHealth carePopulationTelehealthPublic healthBusinessPsychological interventionSocial distanceMedicineNursingPsychologyPolitical scienceCoronavirus disease 2019 (COVID-19)TelemedicineEnvironmental health

Abstract

fetched live from OpenAlex

Abstract Many people with an intellectual and developmental disability (IDD) are biologically, socially, and economically/politically vulnerable to developing SARS‐COV‐2 (COVID‐19) compared to the general population. Most governments have developed public‐health policies and strategies to address the challenges that COVID‐19 has presented. These policies and strategies have been based upon the general population and in fact could be detrimental to the health and well‐being of people with IDD. This paper provides a review of the key learning points emerging from the COVID‐19 literature, together with guidance for the provision of services and government interventions for people with an IDD for future pandemics. Using guidance from the Joanna Briggs Institute, a scoping review was used to explore the current literature (scientific and grey) on IDD and COVID‐19. Three core themes emerged from the review. Prevention/protection : User‐friendly accurate accessible information, handwashing and social distancing, Personal Protective Equipment, shielding, track and trace, testing, vaccine compliance/hesitancy, and training. Mitigation : Making reasonable adjustments both to where people live, and to community healthcare/clinical practice; and the use of technology as a pandemic‐response strategy. Treatment/Management : Access to acute hospitals and lifesaving equipment, using a suitable clinical fatality assessment instrument, stopping Do Not Resuscitate notices, individualised care plans and hospital passports, family/paid carers to support people in hospitals; and use of telehealth in clinical care. This is the first international scoping review that provides a narrative synthesis of emerging themes related to the COVID‐19 pandemic and people with an IDD. This paper highlights themes related to preventing, mitigating, and treating/managing the care of this population during the COVID‐19 pandemic, which can inform future public‐health policies. This paper also exposes the negative impacts of public‐health interventions in both High‐Income Countries and Low‐Middle Income Countries for this population including lapses in upholding human rights. These data provide a basis for learning from the COVID‐19 pandemic in planning for future pandemics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.234
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.581
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.234
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.093
GPT teacher head0.418
Teacher spread0.324 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it