Literature DB >> 25276214

"Budget impact analyses": a practical policy making tool for drug reimbursement decisions.

Hamid Reza Jamshidi1, Naghmeh Foroutan1, Jamshid Salamzadeh1.   

Abstract

In the present article, Budget Impact Analysis as an effective, practical financial tool has been introduced to the policy makers for improving drug formulary and reimbursement decision making. In Iran, Ministry of Health (MOH), health insurance organizations, and health care providers such as hospitals could take the most advantage of the BIAs reports.

Entities:  

Year:  2014        PMID: 25276214      PMCID: PMC4177634     

Source DB:  PubMed          Journal:  Iran J Pharm Res        ISSN: 1726-6882            Impact factor:   1.696


Introduction

A budget impact analysis (BIA) estimates fiscal consequences of adopting a new health technology or intervention within a specific health context (1; 2; 3). Nowadays, in almost every developed country, regulatory and reimbursement authorities increasingly require Budget Impact Analyses (BIAs), along with a Cost-effectiveness analysis (CEA), as part of a formulary listing or reimbursement submission. A BIA can also be useful in budget or resource planning process. A BIA as a part of a comprehensive economic assessment has been increasingly used in strategic budget planning in almost every developed country.

Experimental

What is a budget impact analysis? A budget impact analysis (BIA) estimates financial consequences of adopting a new health technology or intervention within a specific health context (1; 2; 3). According to the ISPOR task force report II (2014), a standard budget impact analysis model should contain features which have been summarized in Table 1.
Table 1

A Standard Budget Impact Analysis Model Features

Budget Impact Model Features (2)

Features of the health care system

Perspective

Use and cost of current and new interventions

   Target population

   Current alternative interventions

   New intervention and market effects

   Off-label uses of the new intervention

   Cost of the current or new intervention mix

Impact on other costs

   Condition-related costs

   Indirect costs

Time horizon

Time dependencies and discounting

Choice of computing framework

Uncertainty and scenario analysis

Validation

A Standard Budget Impact Analysis Model Features Features of the health care system Perspective Use and cost of current and new interventions Target population Current alternative interventions New intervention and market effects Off-label uses of the new intervention Cost of the current or new intervention mix Impact on other costs Condition-related costs Indirect costs Time horizon Time dependencies and discounting Choice of computing framework Uncertainty and scenario analysis Validation International standard guidelines and empirical studies on BIAs have been conducted over the last decade and nowadays many developed countries have included a request for BIA alongside the CEA from pharmaceutical companies when submitting evidence to support national or local formulary approval or reimbursement (4). Some countries have developed their own guidelines and others are doing the analyses in accordance with ISPOR (International Society for Pharmacoeconomics and Outcomes Research) standard guideline (1; 2). Mauskopf et al. published an analytic framework for the first time as budget impact modeling in 1998 (5). Since the 1990s, several regions in the world including Australia, North America (Canada, United States) and Europe (England and Wales, Belgium, France, Hungary, Italy, Poland) have included a request for BIA alongside the CEA when submitting evidence to support national or local formulary approval or reimbursement (4). The increasing demand from the payers for evidence of BIAs in parallel to CEA in different countries has motivated the publication of a standard guideline for good practice in BIAs by International Society for Pharmacoeconomics and Outcomes Research (ISPOR) (1), which has provided a backbone for doing a standard BIA worldwide. Although ISPOR guideline is considered a standard template for conducting, reporting and analyzing BIAs, it only provides a general approach for the analyses; thus, each country is required to adapt the model on the basis of its current local financing structure, process, rules and regulations. Canadian (6) and Polish (7) standard guidelines are the best examples in this context. The most important published guidelines have been summarized in Table 2.
Table 2

The most important published international BIA guidelines (2001- 2014).

Title Country Authors Year Journal
Principles of Good Practice for Budget Impact Analysis: Report of the ISPOR Task Force on Good Research Practices—Budget Impact Analysis (2) ISPOR task force Mauskopf, et al. 2014 Value in Health
Developing Guidance for Budget Impact Analysis (3) UK Trueman, Drummond and Hutton 2001 Pharmacoeconomics
Guidelines for Conducting Pharmaceutical Budget Impact Analyses for Submission to Public Drug Plans in Canada (6) Canada Marshall, et al. 2008 Pharmacoeconomics
Proposal of Polish Guidelines for Conducting Financial Analysis and Their Comparison to Existing Guidance on Budget Impact in Other Countries (7) Poland Orlewska and Mierzejewski 2004 Value in Health
The most important published international BIA guidelines (2001- 2014). Regarding empirical studies, numerous pharmaceutical BIA studies were published, mainly from the USA, France, Spain, Ireland, Italy, Denmark, Finland, Thailand, Japan and Belgium (8-16). The analyses covered quite wide variations in terms of diseases (e.g. rheumatoid Arthritis, breast cancer, atopic dermatitis, agonist Opioid treatment, Asthma, chemotherapy-induced anemia, Glaucoma, heart Failure, etc.). Very few developing countries, especially from the Middle East region, has published and probably developed such analyses; thus, the importance and potential practical benefits of BIA studies in improving efficiency of financial resource allocation in the health sector, especially in developing, low and middle income countries, should be highlighted. In Iran, the first pharmaceutical budget impact analysis has been published by Foroutan and colleagues in 2013 on evaluating the budgetary impact of using mTOR-inhibitors (Sirolimus) as immunosuppressive medications in replace to Calcineurin Inhibitors (Cyclosporine) in renal transplantation therapy for the health insurance organizations (17). For doing such analysis in accordance with ISPOR standard guideline, at very first step, cost of renal transplantation therapy (current cost of illness) in Iran has been calculated using cyclosporine as the main immunosuppressive medication (18). Further studies would be required to localize this standard international model in accordance with Iranian health care financing system and policy makers` opinions.

Results and Discussion

A practical policy making implication of BIAs in Iran Increasing accessibility and affordability of healthcare services have been considered as important policy objectives since the beginning of 1980s in Iran. However, current almost 70% health care out-of-pocket payments create a barrier to an equal access to quality health services, especially in terms of new medicines which affect equity issues and “health” in Iran (19). In the recent years, because of economic crises, health care policy makers have faced much more difficulties in allocating limited available budget to several diseases. Currently, cost of medical expenditure is rapidly growing and becoming increasingly unaffordable, even for the payers; and consequently, out-of-pocket (OOP) payments are dramatically growing over time. Health care catastrophic expenses have make health services quite unaffordable for many patients with health threatening diseases (19, 20). Figure 1 compares percentage of health care OOP expenditure in three countries of the region; Iran, Turkey and Pakistan, over the last 6 years (21). From the figure, it is clear that Turkey with total health expenditure of almost $52 billion (about $700 per capita and 16% OOP expenditure) had almost 27% of Iran᾽s OOP payments in 2011 while Pakistan had almost the same amount of OOP payments with only $6 billion health care expenditure (Table 3, Figure 1). In case of Iran and Pakistan, the growing trend of health care OOP expenditure should be recognized (Figure 1).
Figure 1

Health care out-of-pocket expenditure in three countries; Iran, Pakistan, Turkey (21).

Table 3

Growth indicators in three countries; Iran, Pakistan, Turkey (latest available data; 2011- 2012) (21).

Indicators Iran Turkey Pakistan
Land area (sq. km)1,628,550769,630770,880
Population, total74,798,59973,639,596176,745,364
GDP (billion current US$)514770210
GDP per capita (current US$)6,81510,6661,290
GDP growth (annual %)22.24.2
Population growth (annual %)1.3 1.31.7
Out-of-pocket health expenditure (% of total expenditure on health)591663
Out-of-pocket health expenditure, total (billion current US$) 1884
Out-of-pocket health expenditure per capita (current US$)24011330
Out-of-pocket health expenditure (% of private expenditure on health)976486
Health expenditure per capita (current US$)34669630
Health expenditure, private (% of GDP)422
Health expenditure, public (% of GDP)251
Health expenditure, public (% of government expenditure)10134
Health expenditure, public (% of total health expenditure)407527
Health expenditure, total (% of GDP)673
Health expenditure, total (billion current US$)30 52 6
Life expectancy at birth, total (years) 737465
On the other hand, according to the World Bank database, Iran has taken the 1st position in the Middle East region and 16th among upper middle income countries regarding the amount of annual OOP payments per capita in US Dollars (Figure 2).
Figure 2

OOP payments in upper middle income countries (2011) (21).

Growth indicators in three countries; Iran, Pakistan, Turkey (latest available data; 2011- 2012) (21). Health care out-of-pocket expenditure in three countries; Iran, Pakistan, Turkey (21). OOP payments in upper middle income countries (2011) (21).

Conclusion

Considering the fact that conducting Budget Impact analyses would improve health care resource allocation and would accelerate and facilitate the process of evidence-based reimbursement decision making. We sincerely believe that this method could effectively address the problem of considerable out-of-pocket payments in Iran and would make a great change in drug affordability for different payers.
  19 in total

1.  Prevalence-based economic evaluation.

Authors:  J Mauskopf
Journal:  Value Health       Date:  1998-11       Impact factor: 5.725

2.  A budget impact analysis of natalizumab use in Ireland.

Authors:  A Dee; M Hutchinson; D De La Harpe
Journal:  Ir J Med Sci       Date:  2011-10-20       Impact factor: 1.568

3.  Budget impact analysis of chemoprevention of breast cancer with tamoxifen and raloxifene among high-risk women in Japan.

Authors:  Masahide Kondo; Shu-Ling Hoshi; Masakazu Toi
Journal:  Jpn J Clin Oncol       Date:  2009-08-05       Impact factor: 3.019

4.  Out-of-pocket expenditures for hospital care in Iran: who is at risk of incurring catastrophic payments?

Authors:  Mohammad Hajizadeh; Hong Son Nghiem
Journal:  Int J Health Care Finance Econ       Date:  2011-09-14

5.  Budget impact analysis-principles of good practice: report of the ISPOR 2012 Budget Impact Analysis Good Practice II Task Force.

Authors:  Sean D Sullivan; Josephine A Mauskopf; Federico Augustovski; J Jaime Caro; Karen M Lee; Mark Minchin; Ewa Orlewska; Pete Penna; Jose-Manuel Rodriguez Barrios; Wen-Yi Shau
Journal:  Value Health       Date:  2013-12-13       Impact factor: 5.725

6.  Budget impact analysis of adjunctive therapy with lacosamide for partial-onset epileptic seizures in Belgium.

Authors:  Steven Simoens
Journal:  J Med Econ       Date:  2011-04-13       Impact factor: 2.448

7.  The case of tumour necrosis factor-alpha inhibitors in the treatment of rheumatoid arthritis: a budget impact analysis.

Authors:  Jan Sørensen; Lis S Andersen
Journal:  Pharmacoeconomics       Date:  2005       Impact factor: 4.981

Review 8.  Developing guidance for budget impact analysis.

Authors:  P Trueman; M Drummond; J Hutton
Journal:  Pharmacoeconomics       Date:  2001       Impact factor: 4.981

9.  Rituximab in the treatment of rheumatoid arthritis patients in Italy: a budget impact analysis.

Authors:  M Benucci; S Iannazzo; O Zaniolo; L Sabadini
Journal:  Clin Exp Rheumatol       Date:  2010-10-22       Impact factor: 4.473

10.  Budget impact analysis of conversion from cyclosporine to sirolimus as immunosuppressive medication in renal transplantation therapy.

Authors:  Naghmeh Foroutan; Hamid R Rasekh; Jamshid Salamzadeh; Hamid R Jamshidi; Mohsen Nafar
Journal:  Clinicoecon Outcomes Res       Date:  2013-10-18
View more
  2 in total

Review 1.  A methodological review of national and transnational pharmaceutical budget impact analysis guidelines for new drug submissions.

Authors:  Naghmeh Foroutan; Jean-Eric Tarride; Feng Xie; Mitchell Levine
Journal:  Clinicoecon Outcomes Res       Date:  2018-11-26

2.  Administrative Process and Criteria Ranking for Drug Entering Health Insurance List in Iran-TOPSIS-Based Consensus Model.

Authors:  Amir Viyanchi; Ali Rajabzadeh Ghatari; Hamid Reza Rasekh; HamidReza SafiKhani
Journal:  Iran J Pharm Res       Date:  2016       Impact factor: 1.696

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.