Experiment | Description | Parameters varied | Values in "what-if" scenarios (* indicates baseline value) |
---|---|---|---|
Screening system capacity with baseline resources (Figs. 2 and 3) | Assess capacity to meet the increasing demand for screening | Demand for screening | 4000*, 4700, 5500, 6000 women per year |
Resilience to changes in processing times (Fig. 4) | Assess resilience to longer or more variable processing times | Most likely central lab testing time (central parameter of triangular distribution) | Multiplied by a factor of 1*, 1.5, 2, and 3 |
Maximum central lab testing time (last parameter of triangular distribution) | Multiplied by a factor of 1*, 1.5, 2, and 3 | ||
Scaling up to meet a higher demand (Fig. 5) | Identify the resources required to meet a higher demand of 9500 women per year | Demand for screening | 9500 |
Scheduled hours of operation for CxCa screening per day (assumes 5 days per week) | 3*, 4, 5, and 6 | ||
Central lab testing capacity (number of GeneXpert testing wells) | 8* and 12 | ||
Resilience to disruptions (Fig. 6) | Assess resilience to disruptions which result in cuts in laboratory operating hours or testing machine availability | Scheduled hours of operation for CxCa screening per day (assumes 5 days per week) | 3*, 2, and 1 |
Central lab testing capacity (number of GeneXpert testing wells) | 4, 8*, and 12 |