Table 4.
Overview of the variables and the related classification method
| Category | Variable | Classification method |
| Research | ||
| Year of publication | Metadata | |
| Geolocation | Metadata | |
| Number of participants | Metadata | |
| Participant age group | Metadata | |
| Medical subject headings | MeSH57 | |
| Clinical trial | Clinical trials.gov,58 manual, binary | |
| Use cases identification | Manual, binary | |
| Evaluation | Manual, binary | |
| AR technology | ||
| Technology readiness level | US Department of Defense,59 manual | |
| AR display category | Schmalstieg and Höllerer,60 manual | |
| Technical challenges | Schmalstieg and Höllerer,60 manual | |
| AR tracking | Schmalstieg and Höllerer,60 manual | |
| AR taxonomy | Hugues et al,53 manual | |
| Interactive or haptic | Manual, binary | |
| Patient education | ||
| Care path | Elsevier’s conceptual framework to develop patient education content61 | |
| Educator | Miller-Stoeckel Client Education model,62 manual | |
| Learner | Miller-Stoeckel Client Education model,62 manual | |
| Educator–learner relationship | Miller-Stoeckel Client Education model,62 manual | |
| Patient education outcomes | Miller-Stoeckel Client Education model,62 manual | |
| Learning theory | Manual, binary | |
| Learning strategy | Manual | |
| Learning styles | Manual | |
| Teaching techniques | Manual |
AR, augmented reality.