Evaluating the Impact of the COVID-19–Related Public Health Restrictions on Access to Digital Sexually Transmitted and Blood-Borne Infection Testing in British Columbia, Canada: An Interrupted Time Series Analysis
Bibliographic record
Abstract
BACKGROUND: Evidence of long-term impacts of COVID-19-related public health restrictions on digital sexually transmitted and blood-borne infection (STBBI) testing utilization is limited. We assessed these impacts on GetCheckedOnline (a digital testing resource for STBBIs) relative to all STBBI tests in British Columbia (BC). METHODS: Interrupted time series analyses were conducted using GetCheckedOnline program data comparing monthly test episodes (STBBI tests per requisition) among BC residents, stratified by BC region, and testers' sociodemographic and sexual risk profiles, for the prepandemic (March 2018-February 2020) and pandemic periods (March 2020-October 2021). Trends in GetCheckedOnline testing per 100 STBBI tests in BC regions with GetCheckedOnline were analyzed. Each outcome was modeled using segmented generalized least squared regression. RESULTS: Overall, 17,215 and 22,646 test episodes were conducted in the prepandemic and pandemic periods. Monthly GetCheckedOnline test episodes reduced immediately after restrictions. By October 2021 (end of the pandemic period), monthly GetCheckedOnline testing increased by 21.24 test episodes per million BC residents (95% confidence interval, -11.88 to 54.84), and GetCheckedOnline tests per 100 tests in corresponding BC regions increased by 1.10 (95% confidence interval, 0.02 to 2.17) above baseline trends. After initial increases among users at higher STBBI risk (symptomatic testers/testers reporting sexual contacts with STBBIs), testing decreased below baseline trends later in the pandemic, whereas monthly GetCheckedOnline testing increased among people 40 years or older, men who have sex with men, racialized minorities, and first-time testers via GetCheckedOnline. CONCLUSIONS: Sustained increases in utilization of digital STBBI testing during the pandemic suggest fundamental changes in STBBI testing in BC, highlighting the need for accessible and appropriate digital testing, especially for those most affected by STBBIs.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".