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Record W2606359841 · doi:10.1017/s1049023x17005180

Improving Maternal, Newborn and Women’s Reproductive Health in Crisis Settings: A Cochrane Systematic Review

2017· article· en· W2606359841 on OpenAlexaboutno aff
Primus Che, Henrik Urdal, Odidika Uj Umeora, Johanne Sundby, Paul Spiegel, Declan Devane

Bibliographic record

VenuePrehospital and Disaster Medicine · 2017
Typearticle
Languageen
FieldHealth Professions
TopicHealth and Conflict Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAction (physics)MedicineReproductive healthPsychologyEnvironmental healthPopulation

Abstract

fetched live from OpenAlex

Background: While emergency preparedness is a core public health function in Canada, public health emergency preparedness activities operate largely in the background until an event of concern raises their profile, as was observed during the Severe Acute Respiratory Syndrome (SARS) outbreak and recently, with Ebola Virus Disease. Despite the lessons learned from SARS, a persistent challenge for public health practitioners is defining what it means to be prepared for the Canadian public health system. Methods: This research used a qualitative study design. Six focus groups were conducted across Canada, employing the Structured Interview Matrix technique. The purposive sample consisted of inter-disciplinary professionals with roles in or relevant to public health emergency preparedness. Rich qualitative data was analyzed using content analysis. Emergent themes were identified by incorporating empirical data from each phase of the Structured Interview Matrix. Integrated knowledge translation was incorporated throughout the study design and involved knowledge users in study design and analysis. Results: will be presented for the essential elements of public health emergency preparedness across all-hazards emergencies. Emergent themes include the consideration of structures important to preparedness for emergencies, and the processes and resources found to be essential to preparedness in Canada. Detailed examination of elements will explore practice and experience; collaboration; communication; learning and recovery; and ethical considerations in planning and decisionmaking.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.396
Threshold uncertainty score0.757

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.029
GPT teacher head0.402
Teacher spread0.373 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
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
Published2017
Admission routes1
Has abstractyes

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