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Table 4 Sensitivity analyses on the impact on deaths and catastrophic health expenditure (CHE) cases averted when long-lasting insecticide-treated bed nets (LLIN) input parameters vary across income quintiles (Q1 = poorest; Q5 = richest), (low to high shows when input parameters are decreased or increased by 20%, respectively)

From: Health gains and financial risk protection afforded by public financing of selected malaria interventions in Ethiopia: an extended cost-effectiveness analysis

Sensitivity analysis LLINQ1Q2Q3Q4Q5
LowHighLowHighLowHighLowHighLowHigh
Prevalence of malaria
 Deaths averted45683045355321322030
 Private expenditures averted38,71058,07033,90058,07036,09050,85031,83054,13031,81047,720
 Cases of CHE averted73109426461920000
Malaria case fatality ratio
 Deaths averted46673045355221312030
 Private expenditures averted48,31048,31042,37042,37044,60044,60039,45039,45039,13539,135
 Cases of CHE averted9191535376760000
Health services utilization
 Deaths averted56563838434326262525
 Private expenditures averted38,97058,46033,45050,18035,68053,52031,34047,01031,62047,430
 Cases of CHE averted73110426361910000
Probability of inpatient visit
 Deaths averted56573738434426262525
 Private expenditures averted47,23049,39041,75043,00043,68045,50039,02039,89038,66039,610
 Cases of CHE averted73109426461910000
Efficacy
 Deaths averted45683045355221322030
 Private expenditures averted38,65057,97033,90050,85035,68053,52031,56047,35031,31046,960
 Cases of CHE averted73109426461910000
Cost inputs
 Government costs2,625,1703,963,5002,632,8903,971,2102,621,8603,960,1902,634,1703,972,5002,628,6603,966,990
OOP outpatient costs
 Deaths averted56563838434326262525
 Private expenditures averted39,85056,77034,60050,15036,68052,52032,04046,86031,82046,450
 Cases of CHE averted9191535376760000
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