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APPENDIX R: SCENARIO ANALYSIS RESULTS

                             Scenario analysis 1: Variation in remission rates

                             The model employs a remission variable of 7% to indicate rate of remission from diabetes
                             towards prediabetes after intervention–namely screening and participation in a risk
                             assessment and diabetes management programme (Ried‐Larsen et al., 2019). Nonetheless,
                             literature shows that remission is also associated with intensive lifestyle intervention and
                             bariatric surgery, which may not overlap with the treatment and management path that the
                             CDSVMS patients take (Gregg et al., 2012; Ried‐Larsen et al., 2019; Sjöström et al., 2009). To
                             assess the possible cost impact of different remission rates, we conducted scenario
                             analyses using remission rates of 2.0%, representing the remission rate for patients with
                             diabetes who only receive diabetes support and education in a different study (Gregg et al.,
                             2012). With a lowered remission rate of 2.0%, the model projects greater spending after the
                             implementation of a screening programme, with net negative savings (Table 6). However, our
                             model still projects a high total prevented mortality in both Scenario 1 and Scenario 2 relative
                             to the Base Scenario. This indicates that while spending may increase with a projected
                             additional HKD 3.819 billion over thirty-years, the number of prevented mortality remains
                             high. For a net neutral cost-savings in Scenario 1, the remission rate will need to reach
                             approximately 2.1%. Similarly, for a net neutral cost-savings in Scenario 2, the remission rate
                             will need to surpass approximately 2.9%, thus providing a better sense of the “buffer”
                             available to achieve cost-savings.



                                Table 6

                                  Costs and mortality changes after variation in remission rates (2.0%)

                                                           Base Scenario      Scenario 1        Scenario 2
                                  Costs over 30 years        45,346.76         45,719.41        49,165.84
                                  (HKD million)
                                  Savings over 30 years                         -372.65         -3,819.08
                                  (HKD million)
                                  % Savings                                     -0.82%           -8.42%
                                  Mortality–DM                68,507            50,775            22,193
                                  Mortality–PreDM             14,521            18,016           18,202
                                  Total prevented mortality                     14,237           42,633



                             Scenario analysis 2: Cost of screening
                             The current cost projections utilise a screening cost of HKD 200 per patient, assuming that
                             this fee will be inclusive of all necessary tests to receive a diagnosis. This screening cost is
                             based on the assumption that population-wide mass screening will allow the Government
                             and relevant authorities to more efficiently engage in testing and achieve economies of scale
                             wherein screening services can be provided at a lower cost. However, to assess costs of the
                             Scheme if a higher economy of scale is not attained, we conducted a scenario analysis using
                             a screening cost of HKD 445, based on the cost for non-eligible patients to the HA for an
                             attendance at a general outpatient clinic, as this figure is likely closer to the actual cost to the
                             health system. The results indicate that the final percentage cost savings decreases from
                             30.84% in Scenario 1 to 19.50% after the adjustment in cost savings. Similarly, the
                             percentage cost savings in Scenario 2 decreases from 27.57% to 16.19% (Table 7). While we
                             still observe cost savings when the cost of screening is increased to match the cost of
                             general outpatient care, we may still note that higher screening costs lead to lower cost
                             savings. If all other parameters are consistent, a screening cost of approximately HKD 780
                             will lead to no cost savings in Scenario 2 (screening and RAMP-DM), while a screening cost
                             of approximately HKD 860 will lead to no cost-savings in Scenario 1 (screening only).
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