Considering context: Adaptive elements of a simulation program to improve primary care safety during the COVID-19 pandemic in Alberta, Canada
Bibliographic record
Abstract
•Globally, primary care (PC) has seen significant disruptions and strain from the COVID-19 pandemic, jeopardizing the ability to provide safe, accessible in-person care.•Our “action research” team from the high-income country (HIC) context of Alberta, Canada, developed an innovative virtual tabletop simulation (TTS) intervention which assisted clinical teams to deliver safe, in-person care during the COVID-19 pandemic.•We examine “adaptive elements” which contributed to our program's success, which were just as important as the technical details of virtual TTS program implementation.•Rather than assuming this innovation developed in a HIC setting should be used to solve low- and middle-income country (LMIC) challenges, we ask whether and how our virtual TTS intervention might be adapted in other settings to improve the safety and accessibility of PC during the COVID-19 pandemic. BackgroundGlobally, primary care (PC) has been central to the COVID-19 response. The pandemic has strained PC systems and introduced novel infection prevention and control (IPC) risks to the provision of safe, accessible in-person care. Specifically, the implementation of IPC guidance developed outside of PC into its operational context has proved challenging.MethodsOur team of “action researchers” developed an innovative virtual tabletop simulations (TTS) intervention which assisted PC teams as they adapted, implemented, and integrated IPC guidance into their specific clinical contexts. While we have detailed the “technical” elements of the TTS program elsewhere, this paper examines the specific “adaptive” elements that made this intervention successful in the high-income country context of Alberta, Canada.ResultsMultiple factors influenced the uptake of this program in our Albertan setting, including: cultural geography; approach to financing and delivering PC; and policies and cultural norms supporting PC integration, medical education and research, and egalitarian teamwork.ConclusionsVirtual TTS may provide substantial benefits to IPC and safety improvements in PC settings globally. However, the specific technical and adaptive elements of our Albertan TTS program might, or might not, make these a viable IPC intervention for adapting, spreading, and scaling to other settings. Globally, primary care (PC) has been central to the COVID-19 response. The pandemic has strained PC systems and introduced novel infection prevention and control (IPC) risks to the provision of safe, accessible in-person care. Specifically, the implementation of IPC guidance developed outside of PC into its operational context has proved challenging. Our team of “action researchers” developed an innovative virtual tabletop simulations (TTS) intervention which assisted PC teams as they adapted, implemented, and integrated IPC guidance into their specific clinical contexts. While we have detailed the “technical” elements of the TTS program elsewhere, this paper examines the specific “adaptive” elements that made this intervention successful in the high-income country context of Alberta, Canada. Multiple factors influenced the uptake of this program in our Albertan setting, including: cultural geography; approach to financing and delivering PC; and policies and cultural norms supporting PC integration, medical education and research, and egalitarian teamwork. Virtual TTS may provide substantial benefits to IPC and safety improvements in PC settings globally. However, the specific technical and adaptive elements of our Albertan TTS program might, or might not, make these a viable IPC intervention for adapting, spreading, and scaling to other settings.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".