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Record W4294636632 · doi:10.1136/bmjopen-2022-061550

Multicountry study protocol of COCOON: COntinuing Care in COVID-19 Outbreak global survey of New, expectant, and bereaved parent experiences

2022· article· en· W4294636632 on OpenAlexaff
Siobhan A. Loughnan, Rupesh Gautam, Sergio A. Silverio, Frances M. Boyle, Jillian Cassidy, David Ellwood, Caroline Homer, Dell Horey, Susannah Hopkins Leisher, Francine de Montigny, Margaret Murphy, Keelin O’Donoghue, Paula Quigley, Claudia Ravaldi, Jane Sandall, Claire Storey, Alfredo Vannacci, Alyce N. Wilson, Vicki Flenady

Bibliographic record

VenueBMJ Open · 2022
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsUniversité du Québec en Outaouais
FundersDivision of Mathematical SciencesNational Institute for Health Research Applied Research Collaboration South LondonUniversity of QueenslandKing's College LondonNational Institute for Health and Care Research
KeywordsMedicinePsychosocialThematic analysisResearch ethicsHealth careFamily medicineQualitative researchPandemicGrounded theoryQualitative propertyNursingCoronavirus disease 2019 (COVID-19)Psychiatry

Abstract

fetched live from OpenAlex

INTRODUCTION: Globally, the COVID-19 pandemic has significantly disrupted the provision of healthcare and efficiency of healthcare systems and is likely to have profound implications for pregnant and postpartum women and their families including those who experience the tragedy of stillbirth or neonatal death. This study aims to understand the psychosocial impact of COVID-19 and the experiences of parents who have accessed maternity, neonatal and bereavement care services during this time. METHODS AND ANALYSIS: An international, cross-sectional, online and/or telephone-based/face-to-face survey is being administered across 15 countries and available in 11 languages. New, expectant and bereaved parents during the COVID-19 pandemic will be recruited. Validated psychometric scales will be used to measure psychosocial well-being. Data will be analysed descriptively and by assessing multivariable associations of the outcomes with explanatory factors. In seven of these countries, bereaved parents will be recruited to a nested, qualitative interview study. The data will be analysed using a grounded theory analysis (for each country) and thematic framework analysis (for intercountry comparison) to gain further insights into their experiences. ETHICS AND DISSEMINATION: Ethics approval for the multicountry online survey, COCOON, has been granted by the Mater Misericordiae Human Research Ethics Committee in Australia (reference number: AM/MML/63526). Ethics approval for the nested qualitative interview study, PUDDLES, has been granted by the King's College London Biomedical & Health Sciences, Dentistry, Medicine and Natural & Mathematical Sciences Research Ethics Subcommittee (reference number: HR-19/20-19455) in the UK. Local ethics committee approvals were granted in participating countries where required. Results of the study will be published in international peer-reviewed journals and through parent support organisations. Findings will contribute to our understanding of delivering maternity care services, particularly bereavement care, in high-income, lower middle-income and low-income countries during this or future health crises.

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)0.050
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.094
Threshold uncertainty score0.316

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0500.047
Meta-epidemiology (narrow)0.0020.003
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0050.005
Science and technology studies0.0060.002
Scholarly communication0.0040.003
Open science0.0040.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0940.019

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 head0.152
GPT teacher head0.512
Teacher spread0.361 · 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 designNot applicable
Domainnot available
GenreProtocol

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

Citations19
Published2022
Admission routes1
Has abstractyes

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