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Worksheet for Training Session

Instructions:

Step 1: Open the MDAST file for training (YOU MUST OPEN THE NEW FILE FOR EVERY NEW CASE)

Step 2: Fill out the first row in the table below with your desired value for each alternative

Step 3: Change the “control portfolios” in the MDAST using the values in the worksheet

Step 4: Run the MDAST and record the results in the last two rows of the table

EXAMPLE: Compare the policies with different values for retail LLIN vouchers

EXAMPLE / Status Quo / Policy Alternative 1 / Policy Alternative 2 / Policy Alternative 3
Retail LLIN vouchers
(fraction of price covered) / 0.05 / 0.5 / 0.7 / 1
RESULTS:
Avoided severe cases relative to status quo (avg per year)
(Average # of severe cases per year at SQ = 48.7) / 0.1 / 0.66 / 1.73
Program cost per severe case averted relative to status quo (USD) / 10,300 / 3,429 / 4,860

PRACTICE 1: Compare the policies with different values for ONLY one parameter

Case 1: Larviciding / Status Quo
(No Larviciding) / Policy Alternative 1
(twice a year) / Policy Alternative 2
(3 times a year) / Policy Alternative 3
(4 times a year)
Larvicide type / Bti / Bti / Bti / Bti
Number of villages / 0 / 24 / 24 / 24
Campaigns per year / 0 / 2 / 3 / 4
Duration (days) / 0 / 30 / 30 / 30
RESULTS:
Avoided severe cases relative to status quo (avg per year)
Program cost per severe case averted relative to status quo (USD)
  • PRACTICE 1A: Now, you may want to change the malaria transmission parameter and run the case 1 again to see how the results change and how much the best decision would depend on the level of malaria transmission.

PRACTICE 2: Compare the policies with different values for TWO parameters simultaneously

Case 2: RDT & ACT / Status Quo / Policy Alternative 1 / Policy Alternative 2 / Policy Alternative 3
RDT coverage / 0 / 0.5 / 0.5 / 1
ACT coverage
***Same for all age groups / Positive / 0 / 0.9 / 1 / 1
Negative / 0 / 0.1 / 0 / 0
Untested / 0.8 / 0.8 / 0.8 / 0.8
RESULTS:
Avoided severe cases relative to status quo (avg per year)
Program cost per severe case averted relative to status quo (USD)

PRACTICE 3: Compare the policies with different values for MULTIPLE parameters

Case 3: Larviciding & RDT/ACT / Status Quo
(no larviciding or RDT/ACT) / Policy Alternative 1
(Larviciding only) / Policy Alternative 2
(RDT/ACT only) / Policy Alternative 3
(Both Larviciding & RCT/ACT)
Larvicide type / Bti / Bti / Bti / Bti
Number of villages / 0 / 24 / 0 / 24
Campaigns per year / 0 / 2 / 0 / 2
Duration (days) / 0 / 30 / 0 / 30
RDT coverage / 0 / 0 / 0.5 / 0.5
ACT coverage
***Same for all age groups / Positive / 0 / 0 / 0.9 / 0.9
Negative / 0 / 0 / 0.1 / 0.1
Untested / 0.8 / 0.8 / 0.8 / 0.8
RESULTS:
Avoided severe cases relative to status quo (avg per year)
Program cost per severe case averted relative to status quo (USD)

PRACTICE 4: Create YOUR OWN policies with different values for MULTIPLE parameters

Case 4 / Status Quo / Policy Alternative 1 / Policy Alternative 2 / Policy Alternative 3
RESULTS:
Avoided severe cases relative to status quo
Program cost per severe case averted relative to status quo (USD)

Evaluation Sheet on the training session and the tool

Please submit this form to the training coordinator after completion.

Name (Optional): ______

Organization type: [National Malaria Control Program] [Other Government] [Academic] [Research] [NGO]

  1. Please indicate which of the following features of MDAST seems the MOST useful and the LEAST useful for a program planner (tick the appropriate box next to the feature; make only one selection in each column):

MOST
Useful
(Check only one) / Feature
Please read all items before checking any boxes. / LEAST Useful (Check only one)
The ability to compare the projected disease burden for different alternative control strategies
The ability to compare the projected costs of different control strategies
The ability to compare the cost-effectiveness of different control strategies
The ability to analyze the side effects of different control strategies, such as the number of LLINs being disposed or the amount of insecticide being used
  1. Please indicate which of the following components of MDAST is the MOST clear and which is the LEAST clear to you (tick the appropriate box next to the component; make only one selection in each column):

MOST Clear (Check only one) / Component
Please read all items before checking any boxes. / LEAST Clear (Check only one)
The way that different interventions (LLINs, IRS, RDTs, larviciding) affect disease burden (e.g. severe cases, deaths and DALYs).
The way that different interventions (LLINs, IRS, RDTs, larviciding) affect costs.
The way that the baseline intervention portfolio works in MDAST.
The way that MDAST can be modified to reflect local data (such as baseline prevalence, LLIN adoption, etc.)
  1. How likely are you to use MDAST?

12345

Not likely at all Very likely

Comments: ______

  1. How confident are you in the results suggested by MDAST?

12345

Not at all Very much

Comments: ______

  1. How much did this hands-on training improve your knowledge and familiarity with MDAST?

1 2 3 4 5

Not at all Very much

Comments: ______

  1. How much did the training increase your interest and motivation in using MDAST?

1 2 3 4 5

Not at all Very much

Comments: ______

  1. How comfortable are you now with using MDAST to compare multiple policy alternatives?

1 2 3 4 5

Not comfortableat all Very comfortable

Comments: ______

  1. Please indicate how satisfied you are with the current MDAST toolwith regards to:

Highly Unsatisfied / Less Critic / Less Criticl / L ritical / Highly Satisfied
Specification of output uncertainty / 1 / 2 / 3 / 4 / 5
Convenience of use / 1 / 2 / 3 / 4 / 5
Speed of model computation / 1 / 2 / 3 / 4 / 5
Sufficiency of included parameters / 1 / 2 / 3 / 4 / 5
User interface: Visual appearance / 1 / 2 / 3 / 4 / 5
User interface: Navigation / 1 / 2 / 3 / 4 / 5
Other (Please Specify): / 1 / 2 / 3 / 4 / 5
  1. Please share any suggestions you have on what could be done to make the tool more useful and easy to use:
  1. Please share any other comments on MDAST and the training: