Accessing needed sexual health services during the COVID-19 pandemic in British Columbia, Canada: a survey of sexual health service clients
Bibliographic record
Abstract
OBJECTIVES: We assessed COVID-19 pandemic impacts on accessing needed sexual health services, and acceptability of alternative service delivery models, among sexual health service clients in British Columbia (BC), Canada. METHODS: We administered an online survey on 21 July-4 August 2020 to clients using a provincial STI clinic or internet-based testing service, GetCheckedOnline, in the year prior to March 2020. We used logistic regression to identify factors associated with having unmet sexual health needs (ie, not accessing needed services) during March-July 2020 and the likelihood of using various alternative service models, if available. RESULTS: Of 1198 survey respondents, 706 (59%) reported needing any sexual health service since March 2020; of these 706, 365 (52%) did not access needed services and 458 (66%) had avoided or delayed accessing services. GetCheckedOnline users (univariate OR (uOR)=0.62; 95% CI 0.43 to 0.88) or clients with more urgent needs (eg, treatment for new STI, uOR 0.40 (95% CI 0.21 to 0.7)) had lower odds of unmet sexual health needs. The most common factors reported for avoiding or delaying access were public messaging against seeking non-urgent healthcare (234/662, 35%), concern about getting COVID-19 while at (214/662, 32%) or travelling to (147/662, 22%) a clinic or lab and closure of usual place of accessing services (178/662, 27%). All factors were positively associated with having unmet sexual health needs, with public messaging showing the strongest effect (adjusted OR=4.27 (95% CI 2.88 to 6.42)). Likelihood of using alternative sexual health service models was high overall, with the most appealing options being home self-collection kits (634/706, 90%), receiving test kits or antibiotics at home (592/700, 85%) and express testing (565/706, 80%). CONCLUSIONS: Of BC sexual health service clients needing services during March-July 2020, many had unmet needs. Offering alternative service delivery methods may help to improve access during and beyond the COVID-19 pandemic.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".