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Record W3000143532 · doi:10.1111/jphd.12355

What are the self‐reported unmet dental treatment needs of people living with HIV in British Columbia? A case of minority subpopulation in Canada

2020· article· en· W3000143532 on OpenAlex
Abbas Jessani, Jolanta Aleksejūnienė, Leeann Donnelly, J. Craig Phillips, Belinda Nicolau, Mario Brondani

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Public Health Dentistry · 2020
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS oral health manifestations
Canadian institutionsUniversity of OttawaMcGill UniversityUniversity of British ColumbiaUniversity of Saskatchewan
FundersVancouver Foundation
KeywordsMedicineBivariate analysisOral healthInclusion (mineral)Descriptive statisticsFamily medicineHuman immunodeficiency virus (HIV)DemographyGerontologyPsychology

Abstract

fetched live from OpenAlex

OBJECTIVES: To identify associations of Andersen and Newman's (A&N) predisposing, enabling, and need factors with self-reported oral health status and self-reported unmet dental treatment needs in a sample of people living with HIV (PLHIV) in British Columbia (BC), Canada. METHODS: Participants responded anonymously to a 41-item online questionnaire with the following inclusion criteria: a) be at least 19 years old; b) self-identify as HIV-positive; c) be able to provide consent and be willing to voluntarily participate in the study; d) be residing in British Columbia; and e) be able to proficiently respond to the questions in English. Following the descriptive statistics, associations between A&N model factors and the main outcome variables (self-reported oral health status and self-reported dental treatment needs) were evaluated using bivariate inferential analyses. RESULTS: A total of 186 participants met the inclusion criteria. Approximately 40% (n = 74) of participants rated the health of their mouth as fair/poor and more than half (n = 112; 60.2%) reported having bleeding gums, tooth decay or tooth sensitivity. The bivariate analysis for the self-reported oral status as the outcome variable showed "having fair/poor general health" (P = 0.001), "unemployment" (P = 0.019), "avoiding dental treatment due to cost" (P = 0.005), and "not visiting a dental professional within the last year" (P < 0.001) as the strongest predictors. For the second outcome variable unmet dental treatment needs, the strongest predictors were "experience of being discriminated by dental professionals" (P = 0.001), "having fair/poor general health" (P = 0.006), and "suffering from past and current medical conditions due to HIV" (P < 0.001). CONCLUSIONS: Several predisposing, enabling and need factors from the A&N model were associated with self-reported oral health status and unmet dental treatment needs of PLHIV. Results from this study highlight the needs of improving access to affordable dental care to address the unmet oral health needs of PLHIV.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.047
GPT teacher head0.316
Teacher spread0.269 · 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