Built for the trainee without a skills lab.
SimulationM8 gathers the published evidence on simulation in surgical and dental training, most of it scattered across specialty journals, into one place. It covers every cost band and highlights what is genuinely frugal.
The global surgery lens
The Lancet Commission on Global Surgery estimated that five billion people lack access to safe, timely and affordable surgical and anaesthesia care, and set a benchmark of 20 surgeons, anaesthetists and obstetricians per 100,000 population. Actual density across low and middle income countries sits at around 3.19 per 100,000. Workforce training was named as one of the central levers to close that gap.
A separate study linked to the same commission found that the presence of local simulation based training facilities was independently associated with fewer complications after minimally invasive surgery, particularly in hospitals with limited infrastructure. Simulation is not a training nicety in that context. It is patient safety infrastructure that most of the world cannot currently afford.
National Surgical, Obstetric and Anaesthesia Plans are the policy mechanism most low and middle income governments now use to close this gap, built around infrastructure, workforce, service delivery, information management and financing. Simulation based capacity building, frugal and commercial alike, sits directly inside the workforce and training pillar of that plan, which is why SimulationM8 catalogues evidence across the full cost range rather than only the cheapest end of it.
Safe implementation of minimally invasive surgery is not defined by national income level. Differences in outcomes reflect the ability of a health system to adopt and safely deploy new surgical technique, and local simulation training facilities were independently linked to better outcomes.
How we grade evidence
Most published simulator studies still use outdated validity language. We try not to.
Surgical education research has largely moved on from talking about face, content and construct validity as separate, fixed properties of a model. The current standard, Messick’s unified framework, treats validity as a single concept built from five sources of evidence: content, response process, internal structure, relationships to other variables, and consequences of use. A 2018 systematic review found that only 6.6 percent of published surgical simulation validity studies actually used this framework, most still relying on the older, discouraged terminology.
Every model in the SimulationM8 library is labelled with what evidence actually exists for it, not what the marketing implies. A model with a single trainee satisfaction survey is labelled as such. A model with a published construct validity study distinguishing novices from experts is labelled as such. We would rather under claim than over claim.
In practice, each appraised paper on the site carries four things. The closest fitting CASP checklist for its actual study design, since most of this literature is a before-after study or a technical note rather than a randomised trial, so the checklist is applied where it genuinely fits and the mismatch is stated where it does not. An Oxford Centre for Evidence-Based Medicine style level of evidence, from Level 5 for a build method with no outcome data through to Level 3 or better for a comparative or construct validity study. A Kirkpatrick level, since a paper can be methodologically sound but still only measure reaction or learning rather than behaviour on a real patient. And a two line, plain language summary next to a link to the actual source, so a trainee never has to take our word for it.
There is a fifth thing, and it is the one most libraries leave out. Every appraisal states what it was based on. A library of this size cannot be built by reading every paper end to end, so most entries are screened and appraised from the abstract. That is enough to decide whether a model belongs here and to describe what was measured, but it is a genuine limitation and it appears as one on the card rather than being quietly omitted. Where we have read the full text, the card says that instead. Papers found but not yet appraised are shown as pending or in progress rather than left out, so the queue itself is visible.
Simulation based tests with solid evidence of validity and defensible pass or fail scores are a prerequisite for mastery learning. It is well past time surgical education replaced the outdated language of face and construct validity with a contemporary, unified framework.
Nobody should be excluded by what a model is made of
Gelatin based and animal tissue models exclude trainees on religious, ethical and allergy grounds. Where a listed model has a synthetic or plant derived equivalent, the library says so.
Halal, kosher, latex free and vegan safe variants
Gelatin based and animal tissue models exclude trainees on religious, ethical and allergy grounds. Where possible, SimulationM8 defaults to platinum cure silicone or plant derived materials such as konjac glucomannan gel, both of which sidestep the issue by construction rather than needing separate certification. Where an animal derived material is genuinely the best option for a given skill, it will be labelled clearly and a synthetic alternative offered alongside it.
Submit a model
If you have built, taught with, or published a simulation model that is not yet in the library, we want to hear about it, whatever it costs. Trainee submitted models are especially valuable from settings that the published literature under represents, and genuinely frugal submissions will carry the highlighted tag once appraised.
To be listed, a submission needs a materials list, an approximate cost, a short build method, and whichever evidence exists for it, even if that evidence is informal trainee feedback rather than a published study. We will label it honestly either way.
The submission form is not wired up yet, so there is nothing to fill in here and we are not pretending otherwise.
If effort only goes into resources that need serious funding, the result is an educational divide. Low cost interventions should be shared and properly evaluated, not kept inside the institution that built them.