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Record W4282980253 · doi:10.18192/aporia.v14i1.5777

“We document everything”: Interpretations of HIPAA and their impact on ASO staff charting practices in the context of HIV criminalization in the state of Georgia

2022· article· en· W4282980253 on OpenAlexaffvenueabout
Jennifer M. Kilty, Patrick J. Mott

Bibliographic record

VenueAporia · 2022
Typearticle
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsUniversity of Ottawa
FundersKennesaw State University
KeywordsCriminalizationHealth Insurance Portability and Accountability ActContext (archaeology)Best practiceMedicineWorkgroupCriminologyAccountabilityPolitical sciencePublic relationsPsychologyLawHealth care

Abstract

fetched live from OpenAlex

Abstract
 Introduction: The growing professionalization of AIDS Service Organizations (ASO) and the criminalization of HIV nondisclosure have reshaped both ASO staff interactions with people living with HIV/AIDS (PLWHA) as well as ASO staff charting practices.
 
 Methods: Building on a recent national research project in Canada, we conducted semi-structured interviews in February-April 2017 with N=12 ASO staff in Atlanta, Georgia to investigate their charting practices in the context of HIV criminalization.
 
 Results: Our data showed no variation between professionalized and peer ASO staff in terms of charting practices, although the American participants reported being less protective about the content of their notes and less concerned about the risk their notes may pose in cases involving the criminal prosecution of an alleged HIV nondisclosure incident than was previously reported by their Canadian counterparts. In fact, we identified a false sense of security among American ASO staff stemming from their belief that the Health Insurance Portability and Accountability Act (HIPAA) would protect them from having to disclose their charting notes.
 Conclusions: We suggest that training and educational opportunities for both professionalized and peer ASO staff are needed to sensitize them to the implications of record-keeping on the prosecution of HIV nondisclosure.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.236

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.047
GPT teacher head0.374
Teacher spread0.327 · 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 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

Citations0
Published2022
Admission routes3
Has abstractyes

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