P6.034 Potential Impact of a Provincial Electronic Health Records on STI/HIV Testing at STI Clinics
Bibliographic record
Abstract
Background Clients who choose to attend sexually transmitted diseases clinics for care express a desire for anonymity and non-judgmental care. We surveyed a convenience sample of clients attending the BC Centre for Disease Control (BCCDC) Provincial STI clinic to assess the acceptability of electronic health records (EHR) containing sensitive sexual health information which may be available to healthcare professionals external to the BCCDC STI clinic. Methods All clients attending the BCCDC STI clinic between July-October 2012 were offered a 16-item questionnaire to determine if it was acceptable for their sexual health information to be made available to their family physician, pharmacist, medical specialist, and nurses at other STI clinics through the provincial EHR. Demographic information was also collected. Frequency analysis was conducted using SPSS-14 Results At total of 378 (227 [60%] male) individuals completed the survey. Seventy-four percent were 19–39 years old (range 14yrs - > 59yrs). Sixty-seven percent (n = 254) were Caucasian and 55% (n = 209) had a university degree. The majority (86%) of respondents stated they were satisfied with the current computer health record with closed access to external healthcare professionals. One hundred and one (27%) respondents stated it would not be acceptable for their family physician (n = 101 [27%]), pharmacist (n = 197 [52%]), medical specialist (n = 106 [28%]), and nurses in other STI clinics (n = 112 [30%]) to have access their BCCDC STI clinic record. 133 respondents (30%) stating they would be less likely to get tested for HIV and STIs and if their BCCDC STI clinic record were made available as part of the provincial EHR. Conclusion The introduction of a provincial EHR for STI/HIV care information is not acceptable to a significant proportion of clients and may result in reduced screening, posing a threat to the control of sexually transmitted infections in British Columbia. Further monitoring and safeguards should be considered.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.091 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.035 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".