Participatory design and qualitative evaluation of a decision guide for workplace human immunodeficiency virus self‐disclosure: The importance of a socio‐ecological perspective
Bibliographic record
Abstract
BACKGROUND: Disclosure of human immunodeficiency virus (HIV)-positive status in a workplace can be a complex social decision for a person living with HIV. OBJECTIVE: To design a Decision Guide to support people living with HIV in assessing contexts, risks and benefits of workplace disclosure in choosing whether or not, or to what extent, to disclose. In this report, we review the participatory design of a Decision Guide prototype and focus on its evaluation. METHODS: We began with stakeholder input through an environmental scan and community consultation that informed the development of an online Decision Guide prototype. To evaluate the comprehensiveness, acceptability and usability of the prototype, we used qualitative methodology involving individual interviews and the think-aloud technique. Interviews were transcribed and analysed qualitatively. RESULTS: Fourteen people, including people living with HIV and service providers, participated. We identified benefits of the Decision Guide related to comprehensiveness, acceptability and usability. Additional interview themes focused on disclosure concerns, mitigating risks associated with disclosure and additional considerations for the Decision Guide. CONCLUSIONS: The Decision Guide was perceived to be acceptable, comprehensive and useful. The findings endorse the application of a socio-ecological perspective when designing decision support aids for complex social decisions. PATIENT OR PUBLIC CONTRIBUTION: People with lived experience of HIV were involved in the prototype design phases as research team members. They, along with community leaders and service providers, also participated in a community forum and were key informants for the evaluation of the Workplace Disclosure Decision Guide prototype.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".