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Record W3158383497 · doi:10.2196/25671

Web-Based Delivery of the Caregiving Essentials Course for Informal Caregivers of Older Adults in Ontario: Mixed Methods Evaluation Study

2021· article· en· W3158383497 on OpenAlexafffundvenueabout
Shelley Rottenberg, Allison Williams

Bibliographic record

VenueJMIR Aging · 2021
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsMcMaster University
FundersCanadian Institutes of Health ResearchMcMaster University
KeywordsFocus groupLife course approachPsychological interventionPsychologyQualitative researchMedical educationPaceWeb applicationMedicineNursingGerontologyWorld Wide WebSocial psychologyComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: Many informal caregivers of older adults have limited time because of the number of responsibilities that their caregiving role entails. This population often experiences high levels of burden due to the stressful nature of their work and are vulnerable to developing negative psychological health outcomes. Easily accessible and flexible knowledge interventions are needed to alleviate the burden and stress experienced by this group. OBJECTIVE: This study aims to evaluate the acceptability of the web-based delivery of the Caregiving Essentials course for informal caregivers of older adults. Both the strengths and limitations of using a web-based platform to provide information and resources were explored to see whether the method of delivery enhanced or hindered the overall course experience for participants. METHODS: A mixed methodology of web-based pre- (n=111) and postcourse surveys (n=39) and telephone interviews (n=26) was used to collect both qualitative and quantitative data from participants. Individual interviews were also conducted with key stakeholders (n=6), and a focus group was conducted with nursing students (n=5) who were involved in the project. RESULTS: The web-based delivery of the course provided participants with greater accessibility to the course because it allowed them to work independently through the modules at their own pace wherever and whenever. The discussion boards were also identified as a major strength because of the opportunity for social interaction and the sense of community that many felt through sharing their experiences. Some barriers to participation included age-related factors, issues with navigating aspects of the course, and concerns about privacy and anonymity. Some key suggestions included more engaging methods of web-based communication and the reorganization of the module content to reduce the amount of text and streamline information. CONCLUSIONS: The web-based delivery of Caregiving Essentials appeared to enhance the overall course experience by increasing accessibility and allowing participants to interact with the learning materials and other caregivers. The findings from this evaluation can be used to create and improve the web-based delivery of both the current and emerging interventions for caregivers.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.025
GPT teacher head0.387
Teacher spread0.362 · 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 designObservational
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

Citations26
Published2021
Admission routes4
Has abstractyes

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