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Record W2939525509

The Initial Development and Evaluation of iGeriCare Lessons

2018· dissertation· en· W2939525509 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMacSphere (McMaster University) · 2018
Typedissertation
Languageen
FieldSocial Sciences
TopicEducational Tools and Methods
Canadian institutionsnot available
FundersHamilton Health Sciences FoundationAlzheimer's SocietyMcMaster UniversityHamilton Health Sciences
KeywordsDevelopment (topology)Mathematics
DOInot available

Abstract

fetched live from OpenAlex

Informal caregivers (CGs) of people with dementia (PwD) in Ontario may provide upwards
\nof 90 hours or more of caregiving (CG) or assistance to a loved one, per week. CGs of PwD
\noften face increased social isolation, disrupted routines, and experience adverse health
\neffects as this work is incredibly difficult and overwhelming, requiring knowledge,
\neducation, resources, and support. eHealth interventions can help to respond to the dynamic
\nand changing needs of these CGs. To respond to these needs, Dr. Richard Sztramko
\nconceptualized iGeriCare, an educational multimedia tool. 10 iGeriCare lessons were
\ncreated and developed by Dr. Sztramko and Dr. Anthony J. Levinson and his team at the
\nDivision of e-Learning and Innovation.
\nThe objective of this thesis is to review psychoeducational interventions aimed at CGs of
\npatients with dementia and to evaluate the usability of iGeriCare learning modules. This
\nthesis is comprised of two phases, a systematic literature review and an evaluation of the
\niGeriCare lessons. A systematic search was performed on MEDLINE, PubMed, CINAHL,
\nand EMBASE. 31 articles and 23 prospective interventions were included in the final
\nanalysis. These interventions were generally perceived positively by CGs. Despite CG-perceived
\nvalue, there is not enough evidence in the literature to clearly state whether online
\ninterventions improve CG stress, self-efficacy, or burden.
\nThe Quality in Use Integrated Measurement Framework (QUIM) informs usability. Two
\nexperienced CGs agreed to participate. After they viewed the iGeriCare lessons on the
\neLearning management system (through the web-based system 360 Articulate), they were
\ninterviewed via telephone to gather their opinions of the usability of the iGeriCare modules.
\nQualitative interview data were analyzed, resulting in the following themes: relevance of
\ncontent and information, slide design, ease of navigation, forward learning, educational
\ntools, and accessibility. They perceived iGeriCare as an effective tool with online
\nconvenience and relished the thought of an online community whereby CGs can interact in
\na spirit of comradery and togetherness.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.973
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0090.000

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 head0.108
GPT teacher head0.393
Teacher spread0.285 · 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