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Record W7115036174

Educational materials for people with HIV in web-based patient portals

2025· dissertation· en· W7115036174 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2025
Typedissertation
Languageen
FieldComputer Science
TopicUsability and User Interface Design
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchMcGill University
KeywordsHuman immunodeficiency virus (HIV)Patient portalConfidentialityMEDLINEQuality (philosophy)Health care
DOInot available

Abstract

fetched live from OpenAlex

Background: People living with HIV (PWH) face challenges to accessing quality information for the self-management of their health and psychosocial needs.Educational materials available in electronic patient portals could help PWH easily find appropriate information on their condition.Currently, there is a lack of published work synthesizing the type of educational materials that are available in patient portals for PWH and their formats.Given the increase in use of patient portals to support the self-management of chronic conditions like HIV, it is opportune to examine existing patient educational materials in these portals to better understand their coverage and identify any gaps.Aim: This thesis seeks to explore the current breadth and scope of educational materials for PWH in patient portals.This research will amalgamate the literature to better understand the nature of these materials including their coverage, form, and development process.Specifically, we seek to understand the health topics available to PWH, their formats in patient portals, the methods used to select or develop the material, and the involvement of PWH in these processes.Methods: A rapid scoping review was conducted on educational material for PWH available in patient portals.In accordance with PRISMA guidelines, five electronic databases were searched (on January 5 th , 2024) and the search strategy was planned around three concepts including: patient portals, HIV, and patient educational materials.Data were extracted based on the objectives and then synthesized inductively using textual narrative synthesis.Results: The literature search identified 940 articles for title and abstract screening.After fulltext screening, 8 articles were included, describing 8 patient portals.Five categories of health topics were identified: 1. HIV medications/treatments; 2. Lab test result explanations; 3. General health information; 4. Symptom management; and 5. Available resources.Four main categories of educational material formats were identified: 1. Explanatory text materials; 2. Visual information; 3. Links to external resources; and 4. Personalized feedback.None of the studies explicitly reported incorporating PWH input into the development of educational materials.Conclusion: This rapid scoping review reveals significant underreporting of the development processes of educational materials for PWH in patient portals.Although some information on topics and formats exists, the absence of PWH involvement in its creation limits the ability of this material to meet the diverse informational needs of PWH.Strengthening this literature can better inform the design of educational resources in patient portals to better support PWH.

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)0.015
metaresearch head score (Gemma)0.068
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.068
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0050.009
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0310.002

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 head0.015
GPT teacher head0.246
Teacher spread0.231 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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