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Record W2146517807 · doi:10.2105/ajph.2005.063255

Exploring Lack of Trust in Care Providers and the Government as a Barrier to Health Service Use

2006· article· en· W2146517807 on OpenAlexaboutno aff
Kathryn Whetten, Jane Leserman, Rachel Whetten, Jan Ostermann, Nathan M. Thielman, Marvin S. Swartz, Dalene Stangl

Bibliographic record

VenueAmerican Journal of Public Health · 2006
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
FundersNational Institute of Nursing ResearchNational Institute of Mental HealthNational Institutes of HealthBattelle
KeywordsDistrustGovernment (linguistics)MedicineQuarter (Canadian coin)Health careMental healthPublic healthFamily medicineService providerNursingService (business)PsychiatryPsychologyBusinessPolitical science

Abstract

fetched live from OpenAlex

OBJECTIVES: We examined associations between trust of health care providers and the government and health service use and outcomes. METHODS: Interviews with a sample of 611 HIV-positive individuals included an attitudinal assessment measuring beliefs concerning the creation of AIDS, information being withheld about the disease, and trust of care providers. RESULTS: Trust in care providers was associated with increased HIV-related out-patient clinic visits, fewer emergency room visits, increased use of antiretroviral medications, and improved reported physical and mental health. Trusting the government was associated with fewer emergency room visits and better mental and physical health. More than one quarter of the respondents believed that the government created AIDS to kill minorities, and more than half believed that a significant amount of information about AIDS is withheld from the public. Ten percent did not trust their provider to give them the best care possible. CONCLUSIONS: Distrust may be a barrier to service use and therefore to optimal health. Distrust is not isolated in minority communities but also exists among members of nonminority communities and equally interferes with their use of services and health outcomes.

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)0.006
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.125
GPT teacher head0.385
Teacher spread0.260 · 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 designQualitative
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

Citations331
Published2006
Admission routes1
Has abstractyes

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