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Record W2989561919 · doi:10.1177/2325958219888461

Reliability and Validity of the HIV Disability Questionnaire (HDQ) with Adults Living with HIV in the United States

2019· article· en· W2989561919 on OpenAlexaff
Kelly K. O’Brien, David M. Kietrys, Mary Lou Galantino, J. Scott Parrott, Tracy Davis, Quang Hien Tran, Rachel Aubry, Patricia Solomon

Bibliographic record

VenueJournal of the International Association of Providers of AIDS Care (JIAPAC) · 2019
Typearticle
Languageen
FieldMedicine
TopicHIV-related health complications and treatments
Canadian institutionsMcMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsIntraclass correlationCronbach's alphaReliability (semiconductor)Construct validityMedicineClinical psychologyPsychologyHuman immunodeficiency virus (HIV)GerontologyPsychometricsFamily medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: To assess measurement properties of the HIV Disability Questionnaire (HDQ) among adults with HIV in the United States. METHODS: We administered the HDQ, World Health Organization Disability Assessment Schedule II (WHODAS 2.0), and a demographic questionnaire. For internal consistency reliability, we calculated Cronbach α and Kuder-Richardson-20 (KR-20) statistics for disability and episodic scores, respectively (≥0.80 acceptable). For test-retest reliability, we calculated intraclass correlation coefficients (>0.8 acceptable). For construct validity, we tested 15 a priori hypotheses assessing correlations between HDQ and WHODAS 2.0 scores. RESULTS: Of the 128 participants, the majority were males (68%), median age 51 years, taking antiretroviral therapy (96%). Cronbach α ranged from 0.88 (social inclusion) to 0.93 (uncertainty). The KR-20 ranged from 0.86 (cognitive) to 0.96 (uncertainty). Intraclass correlation coefficients ranged from 0.88 (physical, cognitive, social inclusion) to 0.92 (mental-emotional). Of the 15 hypotheses, 13 (87%) were confirmed. CONCLUSIONS: The HDQ demonstrates internal consistency reliability, test-retest reliability, and construct validity when administered to a sample of adults with HIV in the United States.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.017
Threshold uncertainty score0.197

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.008
GPT teacher head0.263
Teacher spread0.255 · 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

Citations42
Published2019
Admission routes1
Has abstractyes

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