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Record W2345297242 · doi:10.1017/dmp.2016.20

Delivering Flexible Education and Training to Health Professionals: Caring for Older Adults in Disasters

2016· article· en· W2345297242 on OpenAlexaff
Brian A. Altman, Kelly Gulley, Carlo Riccardo Rossi, Kandra Strauss‐Riggs, Kenneth Schor

Bibliographic record

VenueDisaster Medicine and Public Health Preparedness · 2016
Typearticle
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsCanadian Armed Forces
FundersUniformed Services University of the Health SciencesHenry M. Jackson FoundationU.S. Department of Defense
KeywordsCurriculumPreparednessMedical educationCapstoneFlexibility (engineering)MedicineHealth carePopulationNursingPsychologyPedagogyPolitical science

Abstract

fetched live from OpenAlex

The National Center for Disaster Medicine and Public Health (NCDMPH), in collaboration with over 20 subject matter experts, created a competency-based curriculum titled Caring for Older Adults in Disasters: A Curriculum for Health Professionals. Educators and trainers of health professionals are the target audience for this curriculum. The curriculum was designed to provide breadth of content yet flexibility for trainers to tailor lessons, or select particular lessons, for the needs of their learners and organizations. The curriculum covers conditions present in the older adult population that may affect their disaster preparedness, response, and recovery; issues related to specific types of disasters; considerations for the care of older adults throughout the disaster cycle; topics related to specific settings in which older adults receive care; and ethical and legal considerations. An excerpt of the final capstone lesson is included. These capstone activities can be used in conjunction with the curriculum or as part of stand-alone preparedness training. This article describes the development process, elements of each lesson, the content covered, and options for use of the curriculum in education and training for health professionals. The curriculum is freely available online at the NCDMPH website at http://ncdmph.usuhs.edu (Disaster Med Public Health Preparedness. 2016;10:633-637).

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.381
Threshold uncertainty score0.716

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.121
GPT teacher head0.459
Teacher spread0.338 · 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 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

Citations2
Published2016
Admission routes1
Has abstractyes

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