Literature DB >> 35033094

A budget impact analysis of substituting sitagliptin with liraglutide in type 2 diabetes from a private health insurance perspective in Egypt.

Gihan Hamdy Elsisi1,2, Ayman Afify3, Ashraf Abgad4, Ibtissam Zakaria5, Nabil Nasif6, Hani Naiem Ibrahim7, Nabil Raafat8, João L Carapinha9.   

Abstract

INTRODUCTION: Type 2 diabetes mellitus causes a sizable burden globally from both health and economic points of view. This study aimed to assess the budget impact of substituting sitagliptin with liraglutide versus other glucose-lowering drugs from the private health insurance perspective in Egypt over a 3-year time horizon.
METHODS: Two budget impact models were compared with the standard of care (metformin, pioglitazone, gliclazide, insulin glargine, repaglinide, and empagliflozin) administered in addition to liraglutide or sitagliptin versus the standard of care with placebo. A gradual market introduction of liraglutide or sitagliptin was assumed, and the existing market shares for the other glucose-lowering drugs were provided and validated by the Expert Panel. The event rates were extracted from the LEADER and TECOS trials. Direct and mortality costs were measured. Sensitivity analyses were performed.
RESULTS: The estimated target population of 120,574 type 2 diabetic adult patients was associated with cardio vascular risk. The budget impact per patient per month for liraglutide is EGP29 ($6.7), EGP39 ($9), and EGP49 ($11.3) in the 1st, 2nd, and 3rd years, respectively. The budget impact per patient per month for sitagliptin is EGP11 ($2.5), EGP14 ($3.2), and EGP18 ($4.1) in the 1st, 2nd, and 3rd years, respectively. Furthermore, adoption of liraglutide resulted in 203 fewer deaths and 550 avoided hospitalizations, while sitagliptin resulted in 43 increased deaths and 14 avoided hospitalizations. The treatment costs of liraglutide use are mostly offset by substantial savings due to fewer cardiovascular-related events, avoided mortality and avoided hospitalizations over 3 years.
CONCLUSION: Adding liraglutide resulted in a modest budget impact, suggesting that the upfront drug costs were offset by budget savings due to fewer cardiovascular-related complications and deaths avoided compared to the standard of care. Sitagliptin resulted in a small budget impact but was associated with increased deaths and fewer hospitalizations avoided.
© 2022. The Author(s).

Entities:  

Year:  2022        PMID: 35033094      PMCID: PMC8760653          DOI: 10.1186/s12962-021-00335-y

Source DB:  PubMed          Journal:  Cost Eff Resour Alloc        ISSN: 1478-7547


Key points

The upfront drug costs of adding liraglutide were offset by budget savings due to fewer CV-related complications and deaths avoided compared to the standard of care (modest budget impact). Sitagliptin resulted in a small budget impact but was associated with increased deaths and fewer hospitalizations avoided. This study will help to guide reimbursement decisions in Egypt.

Introduction

Diabetes mellitus is a chronic disease characterized by high levels of plasma glucose and deficiency in insulin production or utilization. Diabetes causes a sizable burden globally from both health and economic points of view. In 2017, the International Diabetes Federation (IDF) estimated that the number of people suffering from diabetes worldwide was 425 million, a number that is expected to increase to 629 million by 2045 [1]. Of the current diabetic population, 79% are from low- and middle-income countries, and the highest prevalence is among people aged 40 and 59 [1]. Diabetes costs public health systems around the world approximately 727 billion USD and caused 4 million deaths in 2017 [1]. The IDF ranked Egypt as the ninth highest country in the number of type 2 diabetes mellitus (T2DM) patients [2]. The number of T2DM patients has increased threefold over 20 years ago, with a current prevalence of 15.6% among the 20 to 79 age group [2]. T2DM is a metabolic disease associated with microvascular and macrovascular complications. Optimal glucose control is associated with a reduced risk of microvascular complications (retinopathy, nephropathy, and neuropathy) and benefits for macrovascular complications (reduced rates of heart attacks, strokes and improved blood flow to legs) [3]. Liraglutide is a subcutaneous injection (approved in Egypt for treating T2DM), a human glucagon-like peptide 1 (GLP-1) with an established plasma glucose-lowering effect, thus reducing the risk of microvascular complications [3]. The effects of glycemic control on macrovascular complications were evaluated in the LEADER clinical trial [3]. The primary outcome in this trial (first occurrence of death from CV causes, nonfatal myocardial infarction, or nonfatal stroke) occurred in the liraglutide group [13.0%] was fewer than in the placebo group [14.9%] (hazard ratio, 0.87; 95% confidence interval [CI] 0.78 to 0.97; P < 0.001 for noninferiority; P = 0.01 for superiority) [3]. Sitagliptin, an orally administered dipeptidyl peptidase 4 (DPP-4) inhibitor, had been registered in Egypt [4]. Sitagliptin prolongs the action of incretin hormones, by inhibiting the breakdown of GLP-1 and glucose-dependent insulinotropic polypeptide [4]. The primary composite outcome for TECOS trial, a noninferiority trial, was CV death, nonfatal stroke, nonfatal MI and hospitalization for unstable angina [4]. Sitagliptin (11.4%) was noninferior to placebo (11.6%) for the primary outcome (hazard ratio, 0.98; 95% CI 0.88 to 1.09; P < 0.001) [4]. The Egyptian health care system is fragmented and has different payers and providers. The private health insurance system is a key payer among multiple payers in Egypt. In order to provide the private health insurers with evidence to build their decisions on, and giving that efficient spending in healthcare is well known to be a direct predictor of better health outcomes and national wealth, we conducted our study to evaluate the budget impact of substituting sitagliptin with liraglutide versus other glucose-lowering drugs (metformin, pioglitazone, gliclazide, insulin glargine, repaglinide, and empagliflozin) from the private health insurance perspective in Egypt over a 3-year time horizon.

Methodology

Population and treatment mix

Two budget impact models were constructed. The first model assessed the budget impact of liraglutide plus the existing therapy (glucose-lowering drugs; metformin, pioglitazone, gliclazide, insulin glargine, repaglinide, and empagliflozin) versus the existing therapy alone, while the second model assessed the budget impact of the use of sitagliptin plus the existing therapy (mentioned above) versus the existing therapy alone. The target population of T2DM patients was estimated with the current Egyptian adult population and the prevalence of T2DM in Egypt [2, 5]. The estimated target population was then narrowed to a group of diagnosed and treated patients at risk of cardiovascular events, as demonstrated in Fig. 1 [6]. This study focused exclusively on the proportion of this patient group covered by private health insurance companies [7]. The number of targeted patients was estimated to be 120,574. A gradual market introduction of liraglutide or sitagliptin was assumed, and the existing market shares for the other glucose-lowering drugs were provided and validated by the Expert Panel.
Fig. 1

The target population. T2DM type 2 diabetes mellitus, CV cardiovascular

The target population. T2DM type 2 diabetes mellitus, CV cardiovascular

Clinical parameters

The event rates for cardiovascular complications were extracted from the LEADER trial [3]. This trial was a double-blind randomized trial included 9340 participants at randomization to investigate the cardiovascular safety of liraglutide versus the standard of care (metformin, thiazolidinedione, sulfonylureas, insulin, meglitinides and FGABG (SGLT2i)) in T2DM patients with a high risk for cardiovascular (CV) events [3]. The events considered in this study included mortality, myocardial infarction, stroke, heart failure (HF), coronary revascularization, and microvascular complications (retinopathy and nephropathy). The event rate difference per complication (liraglutide vs. standard of care) was multiplied by the number of patients on liraglutide to determine the number of cardiovascular events avoided. Similarly, sitagliptin inputs were extracted from the TECOS trial, a randomized, double-blind study that assigned 14,671 patients to add either sitagliptin or placebo to their existing therapy [4]. The median follow-up was 3 years to assess the cardiovascular implications of adding sitagliptin to the standard of care for T2DM patients. The clinical parameters extracted from the two studies were different but we did not standardize these parameters because we were measuring all the direct medical costs in the real-world practice. All clinical parameters were included in the model (Table 1).
Table 1

The model inputs parameters

ParameterMean valueLow valueHigh valueSources
Population data
 Total adult population50,364,99240,291,99460,437,990[5]
 T2DM prevalence13.7%10.9%16.4%[2]
 Proportion of patients with Type 2 Diabetes diagnosed and treated (with CV morbidity)35%28%42%[6]
 Proportion of patients covered by private insurance companies in Egypt5%4%6%[7]
 GLP-1RA adoption year 13%2.4%3.6%IMS data
 GLP-1RA adoption year 24%3.2%4.8%IMS data
 GLP-1RA adoption year 35%4%6%IMS data
Clinical parameters from the LEADER trial
 MIa− 0.80%− 0.00640− 0.00960[3]
 Ischemic strokea− 0.40%− 0.00320− 0.00480[3]
 HF (hospitalization)a− 0.60%− 0.00480− 0.00720[3]
 Coronary revascularizationa− 0.70%− 0.00560− 0.00840[3]
 Retinopathya0.30%0.002400.00360[3]
 Nephropathya− 1.50%− 0.01200− 0.01800[3]
 Unstable angina pectoris (hospitalization)a− 0.10%− 0.00080− 0.00120[3]
 All-cause mortalitya− 1.40%− 0.01120− 0.01680[3]
Clinical parameters from the TECOS trial
MIb− 0.10%− 0.00080− 0.00120[4]
 Ischemic strokeb− 0.20%− 0.00160− 0.00240[4]
 Unstable angina pectoris (hospitalization)b− 0.20%− 0.00160− 0.00240[4]
 Severe hypoglycemiab0.30%0.002400.00360[4]
 CV deathb0.30%0.002400.00360[4]
 Acute pancreatitisb0.10%0.000800.00120[4]
 HF (hospitalization)b0.10%0.000800.00120[4]
 Pancreatic cancerb− 0.10%− 0.00080− 0.00120[4]
Treatment costs per unit (Egyptian Pounds)
 Liraglutide

87.60

20.37 USD

70.08

16.29 USD

105.12

24.44 USD

[8]
 Sitagliptin 100

11.00

2.55 USD

8.80

2.04 USD

13.20

3.06 USD

[8]
 Metformin 1000

0.90

0.209 USD

0.72

0.16 USD

1.08

0.25 USD

[8]
 Insulin (glargine) 100 IU

126.00

29.30 USD

100.80

23.44 USD

151.20

35.16 USD

[8]
 SU (gliclazide 60 mg)

1.58

0.36 USD

1.26

0.29 USD

1.89

0.43 USD

[8]
 TZD (pioglitazone 15 mg)

5.13

1.19 USD

4.11

0.95 USD

6.16

1.43 USD

[8]
 Novonorm 2 mg (repaglinide)

1.47

0.34 USD

1.17

0.27 USD

1.76

0.40 USD

[8]
 SGLT2i (empagliflozin)

16.53

3.84 USD

13.23

3.07 USD

19.84

4.61 USD

[8]
Event costs excluding medicines (in Egyptian Pounds)
 Non-fatal MI

76,719

17,841 USD

61,375

14,273 USD

92,062

21,409 USD

[8]
 Non-fatal stroke

65,928

15,332 USD

52,742

12,265 USD

79,113

18,398 USD

[8]
 HF (hospitalization)

161,249

37,499 USD

128,999

29,999 USD

193,498

44,999 USD

[8]
 Coronary revascularization

67,919

15,795 USD

54,335

12,636 USD

81,502

18,953 USD

[8]
 Retinopathy

20,000

4651 USD

16,000

3720 USD

24,000

5581 USD

[8]
 Nephropathy

215,695

50,161 USD

172,556

40,129 USD

258,834

60,193 USD

[8]
 Unstable angina pectoris (hospitalization)

76,719

17,841 USD

61,375

14,273 USD

92,062

21,409 USD

[8]
 Acute pancreatitis

55,883

12,996 USD

44,706

10,396 USD

67,059

15,595 USD

[8]
 Severe hypoglycemia

8059

1874 USD

6447

1499 USD

9670

2248 USD

[8]
 Pancreatic cancer

92,136

21,426 USD

73,708

17,141 USD

110,563

25,712 USD

[8]
 Mortality

750,000

174,418 USD

600,000

139,534 USD

900,000

209,302 USD

[8]

T2DM type 2 diabetes mellitus, CV cardiovascular, GLP1-RA Glucagon like peptide 1 receptor agonist, HF heart failure, MI myocardial infarction, SU sulphonyl urea, TZD thiazolidinediones, SGLT2i Sodium/glucose cotransporter-2 inhibitors

aRate difference with and without liraglutide

bRate difference with and without sitagliptin

The model inputs parameters 87.60 20.37 USD 70.08 16.29 USD 105.12 24.44 USD 11.00 2.55 USD 8.80 2.04 USD 13.20 3.06 USD 0.90 0.209 USD 0.72 0.16 USD 1.08 0.25 USD 126.00 29.30 USD 100.80 23.44 USD 151.20 35.16 USD 1.58 0.36 USD 1.26 0.29 USD 1.89 0.43 USD 5.13 1.19 USD 4.11 0.95 USD 6.16 1.43 USD 1.47 0.34 USD 1.17 0.27 USD 1.76 0.40 USD 16.53 3.84 USD 13.23 3.07 USD 19.84 4.61 USD 76,719 17,841 USD 61,375 14,273 USD 92,062 21,409 USD 65,928 15,332 USD 52,742 12,265 USD 79,113 18,398 USD 161,249 37,499 USD 128,999 29,999 USD 193,498 44,999 USD 67,919 15,795 USD 54,335 12,636 USD 81,502 18,953 USD 20,000 4651 USD 16,000 3720 USD 24,000 5581 USD 215,695 50,161 USD 172,556 40,129 USD 258,834 60,193 USD 76,719 17,841 USD 61,375 14,273 USD 92,062 21,409 USD 55,883 12,996 USD 44,706 10,396 USD 67,059 15,595 USD 8059 1874 USD 6447 1499 USD 9670 2248 USD 92,136 21,426 USD 73,708 17,141 USD 110,563 25,712 USD 750,000 174,418 USD 600,000 139,534 USD 900,000 209,302 USD T2DM type 2 diabetes mellitus, CV cardiovascular, GLP1-RA Glucagon like peptide 1 receptor agonist, HF heart failure, MI myocardial infarction, SU sulphonyl urea, TZD thiazolidinediones, SGLT2i Sodium/glucose cotransporter-2 inhibitors aRate difference with and without liraglutide bRate difference with and without sitagliptin

Costs

Direct medical costs were estimated for drug acquisition, drug administration, complication management, follow-up and adverse event costs. All unit costs of medications were extracted from the private health insurance payer lists as fixed reimbursement amounts and multiplied by the drug utilization to obtain monthly and annual costs for liraglutide, sitagliptin, metformin, thiazolidinediones, sulfonylureas, insulin, meglitinides and SGLT2i. The drug utilization proportions were extracted from the LEADER and TECOS trials [3, 4]. The average management cost for MI and unstable angina included the cost of diagnostic tests (CT scan and ECG test), either percutaneous coronary intervention (PCI) or coronary artery bypass graft (CABG) intervention, and a 7-day hospital stay including appropriate treatment. The management cost for stroke included brain magnetic resonance imaging (MRI), 6 days in the ICU and 6 days in the general ward, including appropriate treatment. The heart failure management costs were composed of diagnostic tests (echo Doppler and ECG tests), 4 days in the ICU and 10 days in general ward costs including appropriate treatment. The costs of retinopathy included corrective surgery and measures for better glycemic control, and the costs of nephropathy included measures to control blood pressure, hemodialysis to counteract kidney damage, and glomerular filtration rate (GFR) tests every 3 months. The drug-related adverse events included were acute pancreatitis, pancreatic cancer, and severe hypoglycemia [3, 4]. Pancreatitis management costs comprised the cost of 7 days in the intensive care unit (ICU), 3 days of hospitalization in a ward, pain killers and antibiotics. For the average management cost of pancreatic cancer, it was assumed to be limited to the annual price of erlotinib, an epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor approved for the management of pancreatic cancer, which is given daily via the oral route. The cost of severe hypoglycaemia management was calculated as the summation of 4 days of hospitalization, admission to the emergency room, glucose intravenous administration, and laboratory tests (creatinine test, GFR tests, liver function tests, and glucose tests). All unit costs were extracted from private insurance hospitals [8]. Mortality costs were also considered in our analysis. Even though indirect costs are not typically included in budget impact analysis, according to the ISPOR task force for good research practices for budget impact analysis, we considered mortality, as private insurance companies have to pay compensation to the patients’ family in case of death based on contracted life insurance policies [9]. To measure the cost of mortality, each patient’s life was estimated to have the stated value mentioned in the life insurance policy agreements. The total event cost for each complication was multiplied by the event rate in each treatment arm (from the LEADER and TECOS trials) to determine the total cost per event. The medication costs were included with event costs, and the total cost difference of liraglutide vs without liraglutide was calculated as the budget impact of adopting liraglutide in T2DM patients with cardiovascular risks from the private health insurance perspective in Egypt. Similarly, the budget impact of sitagliptin vs without sitagliptin was calculated in T2DM patients with cardiovascular risks from the private health insurance perspective. Both liraglutide and sitagliptin were compared to placebo/standard of care. No direct comparison was made between the two interventions. All unit costs in this study were calculated in Egyptian Pounds (EGP) set in 2020 and were exchanged to USD using the purchasing power parity rate. The time horizon for the study was 3 years.

Sensitivity analyses

To investigate the robustness of our study, one-way sensitivity analyses were conducted. All hazard ratios for the CV and non-CV outcomes were varied across its confidence intervals. Cost parameters were varied from 10 to 20% more or less from their original value to investigate the impact they would have on the results and to confirm which parameter has the highest impact on our conclusion.

Results

The estimated target population of 120,574 T2DM adult patients associated with CV risk in Egypt was modeled in the budget impact analysis to compare treatment with liraglutide and sitagliptin, both in addition to the standard of care. The annual results from the perspective of private health insurers over a 3-year horizon (Figs. 2 and 3) suggest that liraglutide use results in EGP232.5 million ($54 million) budget savings in medical (diabetic complications management) costs, while sitagliptin use results in a budget increase of EGP29 million ($6.7 million) in medical (diabetic complications management) costs due to an increased number of complications associated with sitagliptin. The liraglutide scenario resulted in a significant reduction in nephropathy (− 1.5% difference), mortality (− 1.4% difference), lower event rates for HF, coronary revascularization, MI, unstable angina pectoris, and stroke (− 0.6%, − 0.7%, − 0.8%, − 0.10% and − 0.4%, respectively), and a low increase in cases of retinopathy (0.3% difference). The sitagliptin scenario resulted in an increase in CV mortality, severe hypoglycaemia, HF hospitalization and acute pancreatitis (0.3%, 0.3%, 0.1%, and 0.1%, respectively) and lower event rates for unstable angina pectoris, stroke, MI and pancreatic cancer (− 0.2%, − 0.2%, − 0.1% and − 0.1%, respectively).
Fig. 2

Liraglutide associated savings in diabetic complications costs over 3-year horizon. MI myocardial infarction

Fig. 3

Sitagliptin associated increase in diabetic complications costs over 3-year horizon. MI myocardial infarction, CV cardiovascular

Liraglutide associated savings in diabetic complications costs over 3-year horizon. MI myocardial infarction Sitagliptin associated increase in diabetic complications costs over 3-year horizon. MI myocardial infarction, CV cardiovascular The budget impact per patient per month (PPPM) for liraglutide was EGP29 ($6.7), EGP39 ($9), and EGP49 ($11.3) in the 1st, 2nd, and 3rd years, respectively (Table 2). The budget impact PPPM for sitagliptin is EGP11 ($2.5), EGP14 ($3.2), and EGP18 ($4.1) in the 1st, 2nd, and 3rd years, respectively (as shown in Table 3). Furthermore, adoption of liraglutide resulted in 203 fewer deaths and 550 avoided hospitalizations, while sitagliptin resulted in 43 increased deaths and 14 avoided hospitalizations. The treatment costs of liraglutide use are mostly offset by substantial savings due to fewer CV-related events, avoided mortality and avoided hospitalizations over 3 years.
Table 2

Base case results of liraglutide versus without liraglutide (in Egyptian Pounds)

ParametersYear 1Year 2Year 3Cumulative
Cost of liraglutide acquisition

114,072,451

26,528,477 USD

152,096,602

35,371,302 USD

190,120,752

44,214,128 USD

456,289,805

106,113,908 USD

Cost of standard of care by substitutiona

(13,000,266)

3,023,317 USD

(17,333,688)

4,031,090 USD

(21,667,110)

5,038,862 USD

(52,001,064)

12,093,270 USD

Drug cost

101,072,185

23,505,159 USD

134,762,914

31,340,212 USD

168,453,642

39,175,265 USD

404,288,741

94,020,637 USD

Non-fatal myocardial infarction

(2,220,074)

516,296 USD

(2,960,099)

688,395 USD

(3,700,124)

860,493 USD

(8,880,297)

2,065,185 USD

Non-fatal stroke

(953,906)

221,838 USD

(1,271,875)

295,784 USD

(1,589,844)

369,731 USD

(3,815,625)

887,354 USD

Hospitalization for heart failure

(3,499,637)

813,869 USD

(4,666,183)

1,085,158 USD

(5,832,729)

1,356,448 USD

(13,998,549)

3,255,476 USD

Coronary revascularization

(1,719,736)

399,938 USD

(2,292,982)

533,251 USD

(2,866,227)

666,564 USD

(6,878,946)

1,599,754 USD

Retinopathy

217,033

50,472 USD

289,377

67,296 USD

361,721

84,121 USD

868,131

201,890 USD

Nephropathy

(11,703,224)

2,721,680 USD

(15,604,298)

3,628,906 USD

(19,505,373)

4,536,133 USD

(46,812,895)

10,886,719

Hospitalization_unstable angina pectoris

(277,509)

64,536 USD

(370,012)

86,049 USD

(462,515)

107,561 USD

(1,110,037)

258,148 USD

Mortality

(37,980,744)

8,832,731 USD

(50,640,992)

11,776,974 USD

(63,301,240)

14,721,218 USD

(151,922,975)

35,330,924 USD

Medical costs

(58,137,798)

13,520,418 USD

(77,517,064)

18,027,224 USD

(96,896,330)

22,534,030 USD

(232,551,192)

54,081,672 USD

Total costs PPPM

29

6.74 USD

39

9.06 USD

49

11.39 USD

39

9.06 USD

PPPM per patient per month

aWe substituted the market share of the glucose lowering drugs with liraglutide

Table 3

Base case results of sitagliptin versus without sitagliptin (in Egyptian Pounds)

ParameterYear 1Year 2Year 3Cumulative
Cost of sitagliptin acquisition

14,324,166

3,331,201 USD

19,098,888

4,441,601 USD

23,873,610

5,552,002 USD

57,296,665

13,324,805 USD

Cost of standard of care by substitutiona

(5,823,714)

1,354,352 USD

(7,764,952)

1,805,802 USD

(9,706,190)

2,257,253 USD

(23,294,856)

5,417,408 USD

Drug cost

8,500,452

1,976,849 USD

11,333,936

2,635,799 USD

14,167,420

3,294,748 USD

34,001,809

7,907,397 USD

MI

(277,509)

64,536 USD

(370,012)

86,049 USD

(462,515)

107,561 USD

(1,110,037)

258,148 USD

Ischemic stroke

(476,953)

110,919 USD

(635,938)

151,413 USD

(794,922)

184,865

USD

(1,907,813)

443,677 USD

Hospitalization for unstable angina

(555,019)

129,074 USD

(740,025)

172,098 USD

(925,031)

215,123 USD

(2,220,074)

516,296 USD

Severe hypoglycemia

87,453

20,337 USD

116,605

27,117 USD

145,756

33,896 USD

349,814

81,352 USD

CV death

8,138,731

1,892,728 USD

10,851,641

2,523,637 USD

13,564,551

3,154,546 USD

32,554,923

7,570,912 USD

Hospitalization for heart failure or CV death

583,273

135,644 USD

777,697

180,859 USD

972,121

226,074 USD

2,333,091

542,579 USD

Acute pancreatitis

202,139

47,009 USD

269,519

62,678 USD

336,898

78,348 USD

808,556

188,036 USD

Pancreatic cancer

(333,276)

77,506 USD

(444,367)

103,341 USD

(555,459)

129,176 USD

(1,333,102)

310,023 USD

Medical costs

7,368,839

1,713,683 USD

9,825,119

2,284,911 USD

12,281,399

2,856,139 USD

29,475,358

6,854,734 USD

Total costs PPPM

11

2.55 USD

14

3.25 USD

18

4.18 USD

14

3.25 USD

PPPM per patient per month

aWe substituted the market share of the glucose lowering drugs with sitagliptin

Base case results of liraglutide versus without liraglutide (in Egyptian Pounds) 114,072,451 26,528,477 USD 152,096,602 35,371,302 USD 190,120,752 44,214,128 USD 456,289,805 106,113,908 USD (13,000,266) 3,023,317 USD (17,333,688) 4,031,090 USD (21,667,110) 5,038,862 USD (52,001,064) 12,093,270 USD 101,072,185 23,505,159 USD 134,762,914 31,340,212 USD 168,453,642 39,175,265 USD 404,288,741 94,020,637 USD (2,220,074) 516,296 USD (2,960,099) 688,395 USD (3,700,124) 860,493 USD (8,880,297) 2,065,185 USD (953,906) 221,838 USD (1,271,875) 295,784 USD (1,589,844) 369,731 USD (3,815,625) 887,354 USD (3,499,637) 813,869 USD (4,666,183) 1,085,158 USD (5,832,729) 1,356,448 USD (13,998,549) 3,255,476 USD (1,719,736) 399,938 USD (2,292,982) 533,251 USD (2,866,227) 666,564 USD (6,878,946) 1,599,754 USD 217,033 50,472 USD 289,377 67,296 USD 361,721 84,121 USD 868,131 201,890 USD (11,703,224) 2,721,680 USD (15,604,298) 3,628,906 USD (19,505,373) 4,536,133 USD (46,812,895) 10,886,719 (277,509) 64,536 USD (370,012) 86,049 USD (462,515) 107,561 USD (1,110,037) 258,148 USD (37,980,744) 8,832,731 USD (50,640,992) 11,776,974 USD (63,301,240) 14,721,218 USD (151,922,975) 35,330,924 USD (58,137,798) 13,520,418 USD (77,517,064) 18,027,224 USD (96,896,330) 22,534,030 USD (232,551,192) 54,081,672 USD 29 6.74 USD 39 9.06 USD 49 11.39 USD 39 9.06 USD PPPM per patient per month aWe substituted the market share of the glucose lowering drugs with liraglutide Base case results of sitagliptin versus without sitagliptin (in Egyptian Pounds) 14,324,166 3,331,201 USD 19,098,888 4,441,601 USD 23,873,610 5,552,002 USD 57,296,665 13,324,805 USD (5,823,714) 1,354,352 USD (7,764,952) 1,805,802 USD (9,706,190) 2,257,253 USD (23,294,856) 5,417,408 USD 8,500,452 1,976,849 USD 11,333,936 2,635,799 USD 14,167,420 3,294,748 USD 34,001,809 7,907,397 USD (277,509) 64,536 USD (370,012) 86,049 USD (462,515) 107,561 USD (1,110,037) 258,148 USD (476,953) 110,919 USD (635,938) 151,413 USD (794,922) 184,865 USD (1,907,813) 443,677 USD (555,019) 129,074 USD (740,025) 172,098 USD (925,031) 215,123 USD (2,220,074) 516,296 USD 87,453 20,337 USD 116,605 27,117 USD 145,756 33,896 USD 349,814 81,352 USD 8,138,731 1,892,728 USD 10,851,641 2,523,637 USD 13,564,551 3,154,546 USD 32,554,923 7,570,912 USD 583,273 135,644 USD 777,697 180,859 USD 972,121 226,074 USD 2,333,091 542,579 USD 202,139 47,009 USD 269,519 62,678 USD 336,898 78,348 USD 808,556 188,036 USD (333,276) 77,506 USD (444,367) 103,341 USD (555,459) 129,176 USD (1,333,102) 310,023 USD 7,368,839 1,713,683 USD 9,825,119 2,284,911 USD 12,281,399 2,856,139 USD 29,475,358 6,854,734 USD 11 2.55 USD 14 3.25 USD 18 4.18 USD 14 3.25 USD PPPM per patient per month aWe substituted the market share of the glucose lowering drugs with sitagliptin Liraglutide results in total initial savings of EGP58 million ($13 million), EGP77 million ($17 million), and EGP96 million ($22 million) in the 1st, 2nd and 3rd years in medical costs, respectively, due to avoided complications and hospitalizations. The total cumulative savings over the 3 years from a private health insurance perspective are estimated at EGP232.5 million ($54 million) (Table 2). Sitagliptin results in a total increased medical cost of EGP7 million ($1.6 million), EGP9 million ($2 million), and EGP12 million ($2.7 million) in the 1st, 2nd and 3rd years, respectively, due to increased complications and hospitalizations. The total cumulative medical costs over the 3 years from a private health insurance perspective are estimated at EGP29 million ($6.7 million) (Table 3). The results of one-way deterministic sensitivity analyses (Fig. 4) suggest that the drug acquisition costs of liraglutide and its market share had the largest impact on the liraglutide model results. T2DM prevalence and the target patients diagnosed and treated with T2DM had the largest impact on the sitagliptin model results (Fig. 5).
Fig. 4

One-way sensitivity analysis results for liraglutide. GLP1-RA Glucagon like peptide 1 receptor agonist, SGLT2i Sodium/glucose cotransporter-2 inhibitors, TZD thiazolidinediones, HF heart failure, CABG Coronary artery bypass graft. The light grey bar corresponds with the upper range, and the dark blue bar with the lower range of an input

Fig. 5

One-way sensitivity analysis results for sitagliptin. T2DM type 2 diabetes mellitus, CV cardiovascular, PHI private health insurance, DPP4 dipeptidyl peptidase 4, TZD thiazolidinediones, SU sulphonyl urea. The light grey bar corresponds with the upper range, and the dark blue bar with the lower range of an input

One-way sensitivity analysis results for liraglutide. GLP1-RA Glucagon like peptide 1 receptor agonist, SGLT2i Sodium/glucose cotransporter-2 inhibitors, TZD thiazolidinediones, HF heart failure, CABG Coronary artery bypass graft. The light grey bar corresponds with the upper range, and the dark blue bar with the lower range of an input One-way sensitivity analysis results for sitagliptin. T2DM type 2 diabetes mellitus, CV cardiovascular, PHI private health insurance, DPP4 dipeptidyl peptidase 4, TZD thiazolidinediones, SU sulphonyl urea. The light grey bar corresponds with the upper range, and the dark blue bar with the lower range of an input We conducted another scenario analysis (without mortality cost) in the liraglutide budget impact model. We found that it had the same conclusion, but it resulted in budget savings of EGP80 million ($18 million) instead of EGP232 million ($54 million) if we included the mortality cost.

Discussion

Liraglutide was approved by the European Medicines Agency in 2009 and United States Food and Drug Administration in 2010, and is sold in more than 80 countries to treat T2DM patients [10, 11]. Our results demonstrate that the upfront costs of liraglutide 1.8 mg are mostly offset by budget savings due to fewer CV-related events and premature mortality avoided (550 avoided hospitalizations and 203 avoided deaths, respectively). Prior analyses on liraglutide use among T2DM patients also reported cost savings. In a budget impact study conducted from the Algerian healthcare payer’s perspective, liraglutide 1.2 mg resulted in cost savings compared to insulin glargine among patients insufficiently controlled on oral antidiabetics [12]. Authors reported that more patients reached the target HbA1c level without the need for intensified treatment regimens, unlike basal insulin, which in 79% of cases requires intensification to a basal-bolus regime or twice daily premix therapy, both of which have higher direct costs [12]. A study in Italy used real-world market consumption data and found that adding liraglutide versus standard of care increased the cost per patient between €8.04 and €25.00. This study did not consider the cost of complications and thus did not offset the elevated drug acquisition cost with the cost savings from the reduced rates of complications associated with liraglutide [13]. Another study assessed the budget impact and the cost-effectiveness of liraglutide versus the standard of care from the US healthcare payer perspective. Over the lifetime of T2DM patients included in the analysis and with confirmed cardiovascular disease or high cardiovascular risk, liraglutide use was budget neutral and cost-effective [14]. In the United Kingdom, a study on the cost-effectiveness of liraglutide (1.2 and 1.8 mg, daily) versus dapagliflozin (10 mg, daily) among T2DM patients concluded that both doses of liraglutide may be cost-effective treatments as a second or third addition to standard of care for patients who are not eligible for SGLT-2i therapy [15]. In Italy, a cost-effectiveness study of liraglutide 1.8 mg versus lixisenatide 20 μg (both are GLP-1 receptor agonists) for treating T2DM patients unable to reach acceptable blood glucose levels on metformin concluded that liraglutide 1.8 mg is likely to be cost-effective versus lixisenatide 20 μg in Italian settings [16]. In France, a study comparing liraglutide, sitagliptin and glimepiride as add-ons for patients not reaching the target HbA1c level found that while all fell below the willingness-to-pay threshold, liraglutide was the most cost-effective [17]. The findings of this study were of great significance, as they included CV death and all-cause death outcomes, which is the case with our model. Last, in Spain, a study comparing 1.8 mg liraglutide and sitagliptin as intensifications for patients on metformin above the target HbA1c levels concluded that 1.8 mg liraglutide is cost-effective compared to sitagliptin in Spanish settings [18]. When considering the ISPOR Special Task Force in defining the elements of value in health care that were not captured in our model due to lack of local data [19], we found that the addition of liraglutide not only provided high-quality adjusted life years (QALYs), life years gained (LYsG) and productivity values as innovative treatment of Egyptian T2DM patients when compared to standard of care but also provided the following novel health values: value of hope, real option value, adding more value in severity of disease and as a scientific spillover. Our study was modeled on the best available evidence from the LEADER and TECOS trials. The budget impact model simulated a patient cohort covered by private health insurance in Egypt and integrated local clinical practice and epidemiological inputs validated by an expert panel. We also included various sensitivity analyses to ensure the robustness of the model and to detect any uncertainties. Our study was limited by the use of an international clinical trial with results that may not be specific to Egypt. Variations exist in treatment patterns between countries [3]. Second limitation, these results could not be generalized to the Egyptian public health care system as the unit costs are varied between the public and the private health care system. Third limitation, we did not conduct probabilistic sensitivity analyses because they are not mandatory according to Egyptian pharmacoeconomic guidelines [20]. Furthermore, ISPOR Task Force on Good Research Practices—Budget Impact Analysis mentioned in their report that sensitivity analysis should be in the form of alternative scenarios chosen from the perspective of the decision-maker and their usefulness depends on the amount and quality of available data and the needs of the decision-maker [9]. Fourth limitation, we did not conduct indirect treatment comparisons i.e. network meta-analysis for a matter of simplification and better understanding by policy makers and private health insurers. Our results would be strengthened with clinical parameters specific to Egypt. However, such variations may be negligible because the standard of care of Egypt does not differ compared to countries included in the clinical trials, and Egyptian clinical practice is based on international treatment guidelines (American Diabetes Association Guidelines) [21]. Another strength of our study was the inclusion of mortality costs, as our analysis was conducted from a private health insurance perspective, and around 85% of the private insurance companies pay life insurance to the families of dead patients.

Conclusion

The adoption of liraglutide resulted in 203 deaths avoided and 550 hospitalizations avoided. Adding liraglutide resulted in a modest budget impact of EGP 29 ($6.7)–EGP 49 ($11.3) PPPM, suggesting that the upfront drug costs were offset by budget savings due to fewer CV-related complications and deaths avoided. Sitagliptin resulted in a budget impact of EGP 11($2.5)–EGP 18 ($4.1) PPPM but was associated with 43 deaths and 14 hospitalizations avoided compared to the standard of care in Egypt from the private health insurance perspective.
  12 in total

1.  Principles of good practice for budget impact analysis: report of the ISPOR Task Force on good research practices--budget impact analysis.

Authors:  Josephine A Mauskopf; Sean D Sullivan; Lieven Annemans; Jaime Caro; C Daniel Mullins; Mark Nuijten; Ewa Orlewska; John Watkins; Paul Trueman
Journal:  Value Health       Date:  2007 Sep-Oct       Impact factor: 5.725

Review 2.  Epidemiology of and Risk Factors for Type 2 Diabetes in Egypt.

Authors:  Refaat Hegazi; Mohamed El-Gamal; Nagy Abdel-Hady; Osama Hamdy
Journal:  Ann Glob Health       Date:  2015 Nov-Dec       Impact factor: 2.462

3.  Long-term Cost-effectiveness of Two GLP-1 Receptor Agonists for the Treatment of Type 2 Diabetes Mellitus in the Italian Setting: Liraglutide Versus Lixisenatide.

Authors:  Barnaby Hunt; Nana Kragh; Ceilidh C McConnachie; William J Valentine; Maria C Rossi; Roberta Montagnoli
Journal:  Clin Ther       Date:  2017-06-16       Impact factor: 3.393

4.  Defining Elements of Value in Health Care-A Health Economics Approach: An ISPOR Special Task Force Report [3].

Authors:  Darius N Lakdawalla; Jalpa A Doshi; Louis P Garrison; Charles E Phelps; Anirban Basu; Patricia M Danzon
Journal:  Value Health       Date:  2018-02       Impact factor: 5.725

5.  Effect of Sitagliptin on Cardiovascular Outcomes in Type 2 Diabetes.

Authors:  Jennifer B Green; M Angelyn Bethel; Paul W Armstrong; John B Buse; Samuel S Engel; Jyotsna Garg; Robert Josse; Keith D Kaufman; Joerg Koglin; Scott Korn; John M Lachin; Darren K McGuire; Michael J Pencina; Eberhard Standl; Peter P Stein; Shailaja Suryawanshi; Frans Van de Werf; Eric D Peterson; Rury R Holman
Journal:  N Engl J Med       Date:  2015-06-08       Impact factor: 91.245

6.  Evaluation of the long-term cost-effectiveness of liraglutide therapy for patients with type 2 diabetes in France.

Authors:  Ronan Roussel; Luc Martinez; Tom Vandebrouck; Habiba Douik; Patrick Emiel; Matthieu Guery; Barnaby Hunt; William J Valentine
Journal:  J Med Econ       Date:  2015-11-05       Impact factor: 2.448

7.  Cost-Effectiveness of Liraglutide Versus Dapagliflozin for the Treatment of Patients with Type 2 Diabetes Mellitus in the UK.

Authors:  Gabriela Vega-Hernandez; Radek Wojcik; Max Schlueter
Journal:  Diabetes Ther       Date:  2017-03-27       Impact factor: 2.945

8.  Cost-effectiveness and budget impact of liraglutide in type 2 diabetes patients with elevated cardiovascular risk: a US-managed care perspective.

Authors:  Dhvani Shah; Nancy A Risebrough; Johnna Perdrizet; Neeraj N Iyer; Cory Gamble; Tam Dang-Tan
Journal:  Clinicoecon Outcomes Res       Date:  2018-11-14

Review 9.  Therapeutic inertia in type 2 diabetes: prevalence, causes, consequences and methods to overcome inertia.

Authors:  Sachin Khunti; Kamlesh Khunti; Samuel Seidu
Journal:  Ther Adv Endocrinol Metab       Date:  2019-05-03       Impact factor: 3.565

10.  Liraglutide and Cardiovascular Outcomes in Type 2 Diabetes.

Authors:  Steven P Marso; Gilbert H Daniels; Kirstine Brown-Frandsen; Peter Kristensen; Johannes F E Mann; Michael A Nauck; Steven E Nissen; Stuart Pocock; Neil R Poulter; Lasse S Ravn; William M Steinberg; Mette Stockner; Bernard Zinman; Richard M Bergenstal; John B Buse
Journal:  N Engl J Med       Date:  2016-06-13       Impact factor: 176.079

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