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Record W4394729720 · doi:10.1177/00469580241246338

Psychosocial and Service Delivery Impacts of the COVID-19 Pandemic on Children With Respiratory Conditions, Their Parents and Their Health Care Providers

2024· article· en· W4394729720 on OpenAlexafffund
David Nicholas, Sherri L. Katz, Jill Ciesielski, Rosslynn Zulla

Bibliographic record

VenueINQUIRY The Journal of Health Care Organization Provision and Financing · 2024
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of OttawaUniversity of Calgary
FundersCanadian Institutes of Health Research
KeywordsPsychosocialPandemicHealth careMedicineMental healthPsychological resilienceExploratory researchService providerNursingPsychologyCoronavirus disease 2019 (COVID-19)PsychiatryService (business)DiseaseBusiness

Abstract

fetched live from OpenAlex

The COVID-19 pandemic imposed widespread impacts on the health and well-being of children with respiratory challenges and their families, as well as on the health care system that supports them. An exploratory qualitative study was undertaken to examine how the pandemic impacted families' and health care providers' daily lives and experiences of care. Four youth, 12 parents and 7 health care providers participated in interviews via telephone or online technology. Content analysis of transcribed interviews revealed participant experiences, including initial responses to the pandemic, adjustment to pandemic shifts, and anticipation of the future. While deleterious physical health impacts were minimal for children with pre-existing respiratory conditions, their mental health was negatively impacted by the pandemic and related health protocols. Families and health care providers experienced strain, yet demonstrated resilience. Pandemic-related shifts profoundly impacted daily life at home, school, and work. Pediatric pandemic planning in clinical care is recommended to better address the needs of children with respiratory conditions and their families as well as pediatric health care providers.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
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 head0.062
GPT teacher head0.375
Teacher spread0.313 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes2
Has abstractyes

Explore more

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