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Record W3139204932 · doi:10.1007/s00467-021-05041-8

COVID-19: experiences of lockdown and support needs in children and young adults with kidney conditions

2021· article· en· W3139204932 on OpenAlexfundno aff
Yincent Tse, Anne‐Sophie Darlington, Kay Tyerman, Dean Wallace, Tanya Pankhurst, Sofia Chantziara, David Culliford, Alejandra Recio‐Saucedo, Arvind Nagra

Bibliographic record

VenuePediatric Nephrology · 2021
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsnot available
FundersHospital for Sick ChildrenKidney Research UKAlder Hey Children's NHS Foundation Trust
KeywordsThematic analysisMedicineSocial distancePandemicFamily medicineNephrologyCoronavirus disease 2019 (COVID-19)PediatricsQualitative researchInternal medicineInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

BACKGROUND: During the initial COVID-19 pandemic, young United Kingdom (UK) kidney patients underwent lockdown and those with increased vulnerabilities socially isolated or 'shielded' at home. The experiences, information needs, decision-making and support needs of children and young adult (CYA) patients or their parents during this period is not well known. METHODS: A UK-wide online survey co-produced with patients was conducted in May 2020 amongst CYA aged 12-30, or parents of children aged < 18 years with any long-term kidney condition. Participants answered qualitative open text alongside quantitative closed questions. Thematic content analysis using a three-stage coding process was conducted. RESULTS: One-hundred and eighteen CYA (median age 21) and 197 parents of children (median age 10) responded. Predominant concerns from CYA were heightened vigilance about viral (68%) and kidney symptoms (77%) and detrimental impact on education or work opportunities (70%). Parents feared the virus more than CYA (71% vs. 40%), and had concerns that their child would catch the virus from them (64%) and would have an adverse impact on other children at home (65%). CYA thematic analysis revealed strong belief of becoming seriously ill if they contracted COVID-19; lost educational opportunities, socialisation and career development; and frustration with the public for not following social distancing rules. Positive outcomes included improved family relationships and community cohesion. Only a minority (14-21% CYA and 20-31% parents, merged questions) desired more support. Subgroup analysis identified greater negative psychological impact in the shielded group. CONCLUSIONS: This survey demonstrates substantial concern and need for accurate tailored advice for CYA based on individualised risks to improve shared decision making.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0030.003
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.018
GPT teacher head0.347
Teacher spread0.329 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations20
Published2021
Admission routes1
Has abstractyes

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