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Record W3113328907 · doi:10.1093/noajnl/vdaa166

The brain tumor not-for-profit and charity experience of COVID-19: reacting and adjusting to an unprecedented global pandemic in the 21st century

2020· article· en· W3113328907 on OpenAlex
Christina Amidei, Jean Arzbaecher, Mary Ellen Maher, Christine Mungoshi, Rosemary Cashman, Stuart Farrimond, Carol Kruchko, Chris Tse, Maureen Daniels, Sharon Lamb, Anita Granero, Mary Lovely, Jenifer Baker, Sally Payne, Kathy Oliver

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

VenueNeuro-Oncology Advances · 2020
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 and healthcare impacts
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health NetworkBC Cancer Agency
Fundersnot available
KeywordsPandemicAllianceBusinessDescriptive statisticsPublic relationsCoronavirus disease 2019 (COVID-19)Political scienceDiseaseMedicineInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

BACKGROUND: The Coronavirus Disease 2019 (COVID-19) pandemic has affected individuals as well as disease-specific brain tumor organizations. These organizations around the world exist to address unmet needs for patients and caregivers they serve. The direct impact of the pandemic on these organizations constitutes significant collateral damage. In order to better understand the effects of the COVID-19 pandemic on brain tumor organizations, the International Brain Tumour Alliance (IBTA) carried out an international survey to identify organizational changes induced by the virus and approaches adopted to address challenges. METHODS: A 37-question online survey consisting of categorical and qualitative questions was developed and circulated to 130 brain tumor organizations across the world. Seventy-seven organizations from 22 countries completed the survey (59% return rate). Descriptive statistics and content analysis were used to present the results. RESULTS: Responses fell into the following 3 categories: (1) organizational characteristics, (2) impact of COVID-19 on services, and (3) COVID-19 impact on financial and human resources within organizations. Although organizational characteristics varied, common concerns reported were activity disruption which impacted organizations' abilities to offer usual services and challenges to sustaining funding. Both financial and human resources were stressed, but integral adaptations were made by organizations to preserve resources during the pandemic. CONCLUSIONS: Although brain tumor organizations have been impacted by the COVID-19 pandemic, organizations quickly adjusted to this unprecedented global healthcare crisis. Nimble reactions and flexibility have been vital to organization sustainability. Innovative approaches are required to ensure organizations remain viable so that needs of brain tumor community at large are met.

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)0.001
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.103
GPT teacher head0.448
Teacher spread0.345 · 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