Parameters:
(1) top 10 measures (the specific number can be increased or decreased)
(2) individual importance weighting for each measure
(3) score for each measure
Examples of measures:
(1) cost of instrument
(2) service and support
(3) analytical sensitivity
(4) portability (if not fixed site)
(5) durability and ruggedness
(6) reagent costs
(7) interface or software
(8) compatibility with existing instrumentation
(9) ease of use
|
Importance of Measure
|
Weighting Factor
|
|
most important
|
3
|
|
important
|
2
|
|
other
|
1
|
where:
• There usually are 1 or 2 items in the most important category and 1 to 3 items in the important category.
|
Quality for Each Measure
|
Points
|
|
excellent
|
1.0
|
|
good
|
1.5
|
|
fair
|
2.0
|
|
suboptimal
|
2.5
|
|
poor
|
3.0
|
weighted subscore for each measure =
= (points for the quality of each measure) * (weighting facture)
total score =
= SUM(weighted subscore for all 10 measures)
Interpretation:
• The instrument with the lowest score "wins".
• With 2 very important and 3 important measures, the ideal score would be 17. The best possible score will be the sum of the 10 weightings.
• The tool could easily be converted to highest score wins by changing the points assigned for each measure.
