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Online Supplement
Appendix # 1: Medications cost (methodology)
Medications data were obtained for the following drug classes: anticoagulants, antiplatelet inhibitors, blood pressure lowering drugs, cholesterol lowering drugs, NSAIDs (non-steroidal anti-inflammatory drugs), glucose lowering drugs, vitamin supplements, other medications and study drug i.e. Red Heart Pill (RHP 1c and RHP 2c). Since the UMPIRE trial recorded detailed information of medications prescribed to the study participants (drug class, trade name, generic name, strength, dose frequency, start and stop dates, and reason for stopping the drug), we used Pharmatrac drug database [https://aiocdawacs.com/ProductDetail.aspx] for January 2012 to derive the MRP (maximum retail price) of each drug prescribed to the patient (using the given trade name and dose). We calculated the total number of days a patient took a particular drug and multiplied the dose frequency with the unit cost of the medication (MRP taken from the Pharmatrac drug database), to estimate the total medication cost per patient. A template of the medications cost calculation sheet is outlined below.
Example calculation sheet for medications cost within trial
Patient id
Treatment group
Drug class
Trade name
Dose (units)
Unit cost
Dose freq.
Start date
End date
Total no. of days
Total cost per patient
001
Control
Antiplatelet inhibitor
Aspirin
75 mg
0.25
OD
26/08/2010
26/04/2012
609
152.25
001
Control
BP lowering
Losartan
50 mg
5.9
BD
31/08/2010
12/05/2012
620
7316
002
Polypill
FDC
RHP 1c
1 Cap
3.3
OD
27/08/2010
11/02/2011
168
554.4
003
Control
Lipid lowering
Atorva
10 mg
14.8
OD
26/08/2010
08/05/2012
621
9190.8
*BP: blood pressure, FDC: fixed dose combination, RHP: Red Heart Pill, OD: once daily, BD: twice a day, Cap – capsule, mg – milligram, freq. - frequency
Appendix 2: Unit cost of resource utilization data including clinic visits, hospitalizations, and procedures [US$, 2012]
No.
Item
Average cost ($)
Minimum cost ($)
Maximum cost ($)
1
OPD visit
7.5
6.2
18.7
2
ED visit
6.6
5.6
93.6
3
Other consultant visit
11.2
5.6
18.7
4
Other healthcare provider visit
5.6
4.7
11.2
5
Specialist visit
9.4
5.6
37.5
6
Sudden cardiac death in hospital
1578.4
1020.6
2528.1
7
Non-fatal stroke
1732.9
936.3
2809.0
8
ORH (Hypoglycaemia)
183.5
93.6
224.7
9
ORH (Abdominal discomfort)
116.1
93.6
187.3
10
PTCA
2294.0
1404.5
5618.0
11
ORH (Erosions in pyloric antrum, duodenal helminthiasis)
224.7
93.6
561.8
12
CABG
4152.6
3089.9
5337.1
13
ORH (Chronic Kidney Disease)
368.9
187.3
842.7
14
Hospitalization due to cardiac reason (Bradycardia)
3456.5
561.8
4119.9
15
ORH (Upper GI pain + Uncontrolled blood sugar)
305.2
99.3
470.0
16
Unstable Angina
1578.4
1020.6
2340.8
17
ORH (UTI)
224.7
93.6
280.9
18
ORH (Pervaginal bleeding)
198.5
93.6
468.2
19
Non-fatal Stroke + UTI + Sepsis
3690.5
1005.4
3932.6
20
ORH (Chronic Pancreatitis)
412.0
151.7
561.8
21
PVD
1901.5
936.3
2434.5
22
ORH (lower respiratory infection)
224.7
93.6
468.2
23
ORH (acute diarrheal disease leading to renal failure)
468.2
374.5
2340.8
*ORH: other related hospitalizations, PVD: Peripheral Vascular Disease, UTI - Urinary Tract Infection, PTCA: Percutaneous Transluminal Coronary Angiography, CABG: Coronary Artery Bypass graft surgery, GI: Gastro intestinal, OPD: outpatient department, ED: emergency department
Online Figures:
Figure 1: Cost-effectiveness planes for different polypill pricing scenarios [A-E]
Scenario # A: representing polypill price as $0.062 (INR. 3.3) per day. ICER point estimates falls in southeast quadrant meaning that polypill is a cost-saving option at this low price for adherence, SBP, and LDLc outcomes.
Scenario # B: representing polypill price as $0.22 (INR. 11.55) per day. Almost all ICER point estimates falls in southeast quadrant i.e. polypill is a cost-saving option at a price equivalent to aggregate sum cost of polypill constituents.
Scenario # C: polypill price as $0.29 (INR. 15.4) per day. ICER point estimates mostly falls in southeast quadrant indicating that polypill is a cost-saving option at a price equivalent to market price of other FDCs available in India.
Scenario # D: polypill price $0.47 (INR. 25) per day. ICER points falls in northeast and southeast quadrants meaning that there is some uncertainty in cost-saving of polypill.
Scenario # E: representing polypill price as $0.94 (INR. 50) per day. ICER point estimates falls mostly in northeast quadrant suggesting that there is greater clinical benefit at higher cost with the polypill strategy versus usual care.
Figure 2: Cost-effectiveness acceptability curves (CEAC) for different polypill pricing scenarios A-E
Scenario # A: representing polypill price as INR. 3.3 ($0.062) per day. CEAC clearly indicates that polypill is 100% time cost-effective at any willingness to pay (value of ceiling ratio, $) as it costs less than usual care treatment.
Scenario # B: representing polypill price as INR. 11.55 ($0.22) per day. CEAC clearly indicates that polypill is 100% time cost-effective at any willingness to pay (value of ceiling ratio, $) as it costs less than usual care treatment
.
Scenario # C: representing polypill price as INR. 15.4 ($0.29) per day. CEAC clearly indicates that polypill is 100% time cost-effective at any willingness to pay (value of ceiling ratio, $) as it costs less than usual care treatment.
Scenario # D: representing polypill price as INR. 25 ($0.47) per day. CEAC clearly indicates that as willingness to pay (value of ceiling ratio, $) increases so is the cost-effectiveness probability for polypill strategy.
Scenario # E: representing polypill price as INR. 50 ($0.94) per day. CEAC clearly indicates that as willingness to pay (value of ceiling ratio, $) increases so is the cost-effectiveness probability for polypill strategy.
Online Table 1: Sensitivity analysis results (in US $, 2012)
Input Parameter
Values
Incremental cost per 10% increase in adherence ($)
Incremental cost per unit reduction in LDLc ($)
Incremental cost per unit reduction in SBP ($)
One-way sensitivity analysis
1. Assessing parametric uncertainty
1.a. Effectiveness of Polypill (adherence)
25.3
na
na
na
10.0
1.b. Effectiveness of Polypill (LDLc)
2.9
na
na
na
8.5
na
na
na
1.c. Effectiveness of Polypill (SBP)
6.5
na
na
na
21.1
na
na
na
1.d. Cost of Polypill
$0.06/day
na
na
na
$0.29/day
na
na
na
$0.48/day
na
na
na
$0.94/day
209.8
21.0
64.7
1.e. Cost of Healthcare visits
Minimum
na
na
na
Maximum
na
na
na
1.f. Cost of Events & Hospitalization
Minimum
na
na
na
Maximum
na
na
na
Multivariable sensitivity analysis
2. Scenario Analysis
ᴪ Worst case
373
504
202
¶ Best case
na
na
na
ᴪ Worst case: low effectiveness values of polypill, maximum cost of polypill, maximum cost of healthcare visits and hospitalizations
¶ Best case: higher effectiveness of polypill, minimum cost of polypill and minimum cost of healthcare visits and hospitalizations
na: polypill strategy was dominant (negative ICER)
*LDLc – low density lipoprotein cholesterol, SBP – systolic blood pressure, $ - united states dollar
Online Table 2: Mean within trial costs for subgroups analysed in the UMPIRE trial (Overall costs) (in US $, 2012)
Polypill group
Usual care group
Cost difference
(n=501)
(n=499)
No. of patients
Costs (mean)
No. of patients
Costs (mean)
(Polypill – Usual care)
Age
<55 years
180
214.8
205
410.7
-195.9
≥ 55 years
321
315.2
294
532.4
-217.2
Sex
Male
390
278.3
393
484.4
-206.1
Female
111
281.9
106
475.0
-193.1
Established CVD
No
39
243.8
41
551.7
-307.9
Yes
462
282.1
458
476.2
-194.1
Diabetes
No
339
151.8
329
313.7
-161.9
Yes
162
545.4
170
808.8
-263.4
Adherence rates
High or Moderate (≥4days)
478
265.8
209
376.6
-110.8
Low (<4 days)
23
554.7
290
558.6
-211.8
Healthcare setting
Private
342
283.7
342
472.1
-188.4
Public
159
269.2
157
505.0
-235.8
Education
Up to secondary school
413
276.5
398
451.7
-175.1
Graduation and above
88
291.2
101
603.6
-312.4
Income levels, INR, (in $)
<20,000 (<$374.5)
345
269.0
336
441.8
-172.8
≥20,000 (≥$374.5)
77
294.4
96
532.6
-238.2
Employment
Full-time
142
249.6
140
466.9
-217.3
Part-time
46
325.1
47
374.0
-48.8
Retired/unemployed
313
285.7
312
505.7
-220.0
*CVD – cardiovascular disease, $: United States dollar