| Literature DB >> 30538513 |
Naghmeh Foroutan1,2, Jean-Eric Tarride1,2,3, Feng Xie1,3,4, Mitchell Levine1,2,3.
Abstract
INTRODUCTION: Budget impact analysis (BIA) in health care, sometimes referred to as resource impact, is the financial change in the use of health resources associated with adding a new drug to a formulary or the adoption of a new health technology. Several national and transnational organizations worldwide have updated their BIA guidelines in the past 4 years. The aim of the present review was to provide a comprehensive list of the key recommendations of BIA guidelines from different countries that may be of interest for those who wish to build or to update BIA guidelines.Entities:
Keywords: budgetary impact; financial impact; guidelines; new drug submissions; pharmaceutical reimbursement; resource impact assessment
Year: 2018 PMID: 30538513 PMCID: PMC6263295 DOI: 10.2147/CEOR.S178825
Source DB: PubMed Journal: Clinicoecon Outcomes Res ISSN: 1178-6981
Figure 1PRISMA flow diagram of search results.
Abbreviations: BIA, budget impact analysis; PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses.
Summary of nine included guidelines in the review
| Countries | Financing system | Year | Organization | Title |
|---|---|---|---|---|
|
| ||||
| Ireland | Publicly funded health and social care system | 2018 | The Health Information and Quality Authority (the authority) | Guidelines for the Budget Impact Analysis of Health Technologies in Ireland 2018 |
| France | French statutory social insurance scheme | 2018 | HAS | The HAS guidelines for conducting BIA |
| UK | NHS | 2017 | NICE | Assessing resource impact process manual: guidelines |
| Australia | PBS | 2016 | PBAC | Guidelines for preparing a submission to the PBAC (version 5.0) |
| Poland | National Health Fund (NHF) | 2016 | The Agency for Health Technology Assessment and Tariff System | HTA guidelines |
| Belgium | Federal government, communities, patients | 2015 | Belgian Health Care Knowledge Centre | Guidelines for BIAs |
| ISPOR | NA | 2014 | ISPOR | ISPOR taskforce report: Budget Impact Analysis – Principles of good practice: Report of the ISPOR 2012 Budget Impact Analysis good practice II task force |
| Brazil | Unified Health System | 2012 | Ministry of Health, National Committee for Health Technology Incorporation | Diretriz para análises de impacto orçamentário de tecnologias em saúde no Brasil (guidelines for budget impact analysis of health technologies in Brazil) |
| Canada | Federal, provincial and territorial drug plans, private payers, patients | 2007 | Patented Medicine Prices Review Board | Guidelines for conducting pharmaceutical budget impact Analyses for submission to public drug plans in Canada |
Abbreviations: BIA, budget impact analysis; HAS, French National Authority for Health; HTA, health technology assessment; ISPOR, International Society for Pharmacoeconomics and Outcomes Research; NHS, National Health System; NA, not applicable; NICE, National Institute for Health and Care Excellence; PBAC, Pharmaceutical Benefits Advisory Committee; PBS, Pharmaceutical Benefits Scheme; RIA, resource impact assessment.
BIA categories and recommendations of nine national and transnational BIA guidelines
| BIA primary elements | BIA secondary elements | ISPOR (2014) | Canada (2007) | Belgium (2012) | France (2018) | Ireland (2018) | Poland (2016) | UK (2017) | Australia (2016) | Brazil (2012) | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Perspective | |||||||||||
| The recommended perspective is that of the budget holder range from a single payer covering an entire health care system through specific providers | Yes | Yes (federal, provincial, and territorial drug plans, private payers) | Yes (health care payers, patients, provider) | Yes (French statutory social insurance scheme, patient, provider) | Yes (publicly funded health and social care system) | Yes (public payers, patients, hospitals) | Yes (commissioner, provider) | Yes (PBS/RPBS; federal government; NIP) | Yes (public and private systems; nation, states, or municipalities) | ||
| Technology | |||||||||||
| The technology should be described in sufficient detail to differentiate it from its comparators and to provide context for the study | Yes | ||||||||||
| Population size and characteristics | |||||||||||
| Definition of patient population | Yes (all patients eligible for the new intervention during the time horizon of interest, given any access restrictions) | Yes (defined as individuals insured by drug plans of interest and have the condition of interest) | Yes (target and expected population) | Yes (target population should be defined based on the approved indication for the technology and also defined as those with a specified disease who may avail of the technology being considered in the defined time horizon) | Yes (all patients in whom a given health technology can be used in accordance with the assessed medical indications) | Yes (resident and registered population) | Yes (number of patients will be treated and number of unit doses will be dispensed over the time horizon) | Yes | |||
| Top-down population approach: estimation of the number covered by the locally approved indications for the new technology which needs to reflect uptake, and changes in patterns of use | Yes | Yes (epidemiologic approach) | Yes | Yes | Yes (incidence and prevalence-based approach) | Yes (epidemiologic approach) | Yes (incidence and prevalence-based approach) | ||||
| Bottom-up approach: this starts from the number of individuals likely to avail of the technology. It includes the number of individuals that will switch from an existing technology and the number of newly treated patients. These estimates may be informed by existing claim-based data | Yes (claim- based approach) | Yes (define population for all indications of the intervention under study) | Yes (define population for all indications of the intervention under study) | Yes | Yes (market- share approach) | Yes (claim- based approach) | |||||
| Open (dynamic) population | Yes | Yes | Yes (population should be described for each year of the BIA, and expected changes in their sizes should be taken into account) | Yes | Yes | ||||||
| Subgroups | Yes | Yes | Yes | Yes (based on biologically plausible and justified evidence but not based on treatment response) | Yes (stratify by beneficiary) | Yes | |||||
| Catch-up effect | Yes | Yes | |||||||||
| Access restrictions | Yes | Yes | Yes | Yes | |||||||
| Unit of analysis (per patient or episode) | Yes (per patient or per episode of care) | Yes (per unit dispensed) | Yes (per episode) | ||||||||
| Off-label indications in the eligible population may also be included | Yes (for the current treatment mix) | No | Yes | Yes | No | Yes | |||||
| Degree of implementation of the new intervention (substitution, combination, and expansion) | Yes | Yes | Yes | Yes | Yes | Yes | |||||
| Comparators | |||||||||||
| Definition | Yes (BIA compares scenarios defined by sets of, rather than specific individual, interventions) | Yes (two scenarios, reference and new drug scenario, should be compared for the treatment strategy) | Yes (current situation that would change if the intervention under consideration is introduced in the health care system; most cost- effective alternatives) | Yes (BIA compares sets of interventions [scenarios] rather than individual interventions) | Yes | Yes (the assumptions concerning the “current scenario” and the “new scenario” should be described and justified in the analysis) | Yes (PBS medicines that will be affected by the proposed listing; mixed treatment comparisons) | Yes (comparison of two or more scenarios, which are representations of different market conditions) | |||
| Current intervention mix for the eligible population | Yes (the current mix may include no intervention as well as interventions that might be replaced by the new one) | Yes (forecast version of the current market without the new drug) | Yes | Yes (scenarios without the intervention under study) | Yes (baseline scenario that reflects the current mix of technologies and forecasts the situation should the new technology not be adopted) | Yes (takes into account the interventions currently used in a given population including no intervention or interventions used in different conditions) | Yes (set of therapeutic options currently available for the treatment of the disease) | ||||
| New intervention mix | Yes (the introduction of a new intervention sets in motion various marketplace dynamics, including product substitution and possibly market expansion) | Yes (new drug scenario is forecast version of the current market with introduction of the new drug) | Yes | Yes (scenarios with the intervention under study) | Yes (new technology scenario, where the new drug is adopted) | Yes (reflects the market after the introduction of the new technology) | Yes (cost of each intervention included in the analysis will reflect the cost of the entire therapeutic package associated with that intervention) | ||||
| Costs and outcomes | |||||||||||
| Direct cost consequence of implementing NICE guidelines | Yes | ||||||||||
| Cost of the current and new intervention mix is determined by multiplying the budget holder’s price for each intervention by proportion of the eligible population using that intervention and by the number of people in the eligible population | Yes | Yes (treatment strategy-based approach) | Yes | Yes | Yes | ||||||
| Actual acquisition cost of the intervention for the budget holder includes any discounts, rebates, or other adjustments that may apply | Yes | Yes | Yes | ||||||||
| Opportunity costs are the costs that arise when implementing the technology or clinical guidelines that might not being reflected in the “actual costs” at the time of doing BIA analysis | Yes | Yes | Yes (the cost of additional outlays in the health care system, related to the implementation of the assessed technology) | ||||||||
| The costs included should be limited to direct costs associated with the technology that will accrue to the relevant payer(s) | Yes | Yes (direct drug cost) | Yes (drug administration costs, the cost of drug wastage and the cost of drug monitoring) | Yes (actual payments and actual savings achieved by a public payer/patient; taking into account the existing risk sharing schemes) | Yes | Yes (direct drug cost) | Yes (costs of the new drug and those directly associated with its use, as adjuvant medications or treatment of adverse events) | ||||
| Cost of clinical outcomes and disease complication | Yes | No | No (health outcomes are not included; however cost consequences of health outcome, eg, treatment cost of adverse events, are included) | Yes (efficacy, effectiveness, and safety, cost offsets) | Yes (direct clinical consequences) | ||||||
| Cost of health care utilization (eg, hospital days or physician visits) | Yes | No | Yes (eg, cost of treatment of adverse drug reactions) | Yes (cost offsets) | Yes | ||||||
| Indirect costs: the impact of the new intervention on productivity, social services, and other costs outside the health care system | No (should not be included routinely in a BIA [except for the private payers or employers]) | No | Maybe (can be quantified in a separate analysis) | No | Yes (eg, productivity cost) | No | |||||
| Cost of supplies: the analytic framework should allow for cost-relevant details of how accompanying devices for the proposed medication are used | Yes | Yes | Yes | Yes | |||||||
| The annual depreciation of any capital costs should be included in the analysis | Yes | ||||||||||
| Labor costs | Yes | Yes (eg, staff training cost) | |||||||||
| Value-added tax | Yes | ||||||||||
| Proposed drug cost based on unit drug price and average dose for average duration of time | Yes | Yes | Yes (technology cost) | Yes | Yes | Yes (changes in the number of units dispensed and costs over the time horizon) | Yes (per patient, per time period) | ||||
| The BIA should also estimate the impact of adherence or persistence on intervention effectiveness and safety if condition-related costs are included in the BIA | Yes | ||||||||||
| Calculate both the global budget impact and separately the budget impact for the different health care payers (this implies that potential transfers of budgets between different levels of governments and/or patients) | Yes | Yes | |||||||||
| Application of the therapeutic equivalence method in the comparison of costs is recommended | Yes | ||||||||||
| Time horizon | |||||||||||
| BIAs should be presented for the time horizons of relevance to the budget holder | 1–5 years | 3 years | 3 years | 3–5 years | 5 years | 2 years | 5 years | 6 years | 1–5 years (subjected to budget holder’s needs) | ||
| Modeling | |||||||||||
| Modeling may be needed to calculate the budget impact for bringing together the best available data from different sources | Yes (if an economic evaluation was performed, the BIA model should be consistent with the clinical and economic assumptions in EE) | Yes | Yes (according to the characteristics and the management of the disease of interest in France) | Yes (based on the good modeling practice) | Yes | Yes | Yes | ||||
| Assumptions should be the same as EE | Yes (the justified comparator in an economic evaluation may be different from the comparator in the BIA) | Yes | Yes | Yes | Yes | ||||||
| The computing framework for a BIA can be a simple cost calculator programmed in an Excel-based spreadsheet | Yes | Yes | Yes | Maybe (transparent and accessible to the decision maker) | Yes (a resource impact template is an Excel spreadsheet) | Yes | Yes | ||||
| More complicated software | Yes | Yes (decision tree, Markov model) | No (simplest design) | Yes (decision tree, Markov models, discrete event simulation) | |||||||
| Handling uncertainty and scenario analyses | |||||||||||
| Sensitivity analysis: parameter uncertainty in the input values | Yes | Yes | Yes | Yes | Yes | Yes | |||||
| One-way and/or multi-way sensitivity analysis, analysis of extremes | Yes | Yes | Yes | Yes | Yes | ||||||
| PSA is recommended in BIA | No | Yes | Yes | ||||||||
| Scenario analysis: structural uncertainty introduced by the assumptions made in framing the BIA | Yes | Yes | Yes | Yes | Yes | ||||||
| Important parameters to be assessed in the sensitivity and scenario analyses have been provided in the guidelines | Yes | Yes | Yes | Yes (population size [eg, the degree of possible abuse], costs of use and reimbursement conditions) | Yes | Yes | |||||
| Describe the direction and magnitude of the impact of uncertainty on the overall estimates | Yes | ||||||||||
| Discount rate | |||||||||||
| An attempt should be made for forecasting changes in the value of the currency used the BIA over the time horizon | Yes | Yes | Yes (in certain circumstance) | Yes (in certain circumstance) | |||||||
| Discounting is generally not required | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | ||
| Validation | |||||||||||
| The computing framework and input data used for a BIA must be sufficiently valid to credibly inform the budget holder’s decisions | Yes | Yes | Yes (face validity) | Yes | Yes | Yes (the template workbook enables the PBAC to validate the presented estimates) | Yes | ||||
| The process of the validation is required | No | Yes (should be documented) | |||||||||
| Value of the information analyses (the cost of extra data collection vs improved model precision) | Yes | ||||||||||
| The programming created by the developer of the budget impact model to perform the analysis (source code) should be made available for review (on the condition that property rights are respected) | Yes | Yes | Yes | ||||||||
| Model code should be provided to reviewers | Yes | ||||||||||
| Postmarket reassessment: the observed costs in a health plan with the current interventions should be compared with the initial-year estimates from a BIA | Yes | Yes | Yes | Yes | |||||||
| Quality assurance and publication | Yes (for all resource impact products) | Yes (quality use of medicines) | |||||||||
| Inputs and data sources | |||||||||||
| Recommended data sources | Yes | Yes | Yes | Yes | Yes (quite comprehensive list) | Yes | |||||
| Search strategy; inclusion criteria for data selection and source selection; strengths and weaknesses of the used sources, and methods of analysis should be presented | Yes | ||||||||||
| Use data from another jurisdiction where the intervention has been introduced | Yes | Yes | Maybe (might not be realistic in Ireland) | Yes (health systems comparable to the Brazilian system) | |||||||
| Use estimates of expected market share from the producer | Yes | ||||||||||
| Extrapolate from experience on product diffusion with similar interventions in the budget holder’s setting | Yes | Yes | |||||||||
| Data could be sourced from clinical trials | Yes | Yes | Yes | ||||||||
| Unpublished data sources, such as expert panels | Yes | Yes | Yes | Yes (taking into account the existing risk sharing schemes) | Yes | ||||||
| Original cost survey, obtaining primary data, by sampling, involving interviews with health professionals under study | Yes | ||||||||||
| Presenting results | |||||||||||
| The estimated annual total and incremental budget impacts should be reported separately for each year of the time frame | Maybe (a table should show the total and disaggregated costs for each time period reported in the BIA) | Only incremental impact | Yes | Yes | Yes | Yes | |||||
| Results should be reported in terms of their natural units and financial cost | Yes | ||||||||||
| Introduction, study design and methods, results, conclusions, and limitations | Yes (very detailed) | Yes (not described in detail) | Yes (not described in detail) | ||||||||
| All results should be presented in their disaggregated and aggregated forms for each year of the timeframe | Yes (results should be presented in a disaggregated manner) | Yes (results should be presented in a disaggregated manner) | Yes (results should be presented in a disaggregated manner) | Yes | Yes | Yes (results should be presented in a disaggregated manner) | Yes (results should be presented in a disaggregated manner) | Yes (according to the PBS and the RPBS, and for beneficiary type) | |||
| Inclusion of graphics and figure of the analytical framework, schematic representation of uncertainty analyses | Yes | ||||||||||
| Table of assumptions, tables of inputs and outputs, appendices, and references | Yes | Yes | Yes | ||||||||
| The addition of relevant appendices to the main report is encouraged. The appendices may cover literature search strategies, evidence summaries, intermediate results (eg, of individual Delphi panel rounds, and the names and addresses of participating experts and investigators) | Yes | Yes | |||||||||
| Resource impact products: resource planner; resource impact reports and templates; resource impact statement | Yes | ||||||||||
Abbreviations: BIA, budget impact analysis; EE, economic evaluation; ISPOR, International Society for Pharmacoeconomics and Outcomes Research; NICE, National Institute for Health and Care Excellence; NIP, National Immunization Program; PBAC, Pharmaceutical Benefits Advisory Committee; PBS, Pharmaceutical Benefit Scheme; PSA, probabilistic sensitivity analysis; RPBS, Repatriation Schedule of Pharmaceutical Benefits.
Figure 2A schematic list of BIA recommendations in the reviewed guidelines.
Note: The positive and negative recommendations are illustrated in different colors.
Abbreviations: BIA, budget impact analysis; EE, economic evaluation; NICE, National Institute for Health and Care Excellence.
Figure 3Time horizon recommended by nine reviewed guidelines.
Note: A range of time horizon is illustrated (in different color) for the guidelines/countries, if applicable.
Abbreviation: ISPOR, International Society for Pharmacoeconomics and Outcomes Research.
| 1. “budget impact*”.m_titl. |
| 2. “budgetary impact*”.m_titl. |
| 3. budget impact analy*.mp. [mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier, synonyms] |
| 4. budgetary impact analy*.mp. [mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier, synonyms] |
| 5. budget impact stud*.mp. [mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier, synonyms] |
| 6. financial impact*.mp. [mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier, synonyms] |
| 7. “economic impact*”.m_titl. |
| 8. “economic analy*”.m_titl. |
| 9. review.mp. [mp = title, abstract, original title, name of substance word, subject heading word, keyword heading word, protocol supplementary concept word, rare disease supplementary concept word, unique identifier, synonyms] |
| 10. limit 9 to “review articles.” |
| 11. “Review Literature as Topic”/ |
| 12. “review*”.m_titl. |
| 13. “guideline*”.m_titl. |
| 14. limit 13 to abstracts |
| 15. “guidance*”.m_titl. |
| 16. limit 15 to abstracts |
| 17. Methods/ |
| 18. “method*”.m_titl. |
| 19. 1 or 2 or 3 or 4 or 5 or 6 or 7 or 8 |
| 20. 9 or 10 or 11 or 12 or 13 or 14 or 15 or 16 or 17 or 18 |
| 21. 19 and 20 |
| #H I Ts: 120 |
| Countries | Agencies |
|---|---|
| Inter/multinational | International Network for Agencies for Health Technology Assessment (INAHTA); Health Technology Assessment International (HTAi); International Society For Pharmacoeconomics and Outcomes Research (ISPOR); WHO Health Evidence Network; European Information Network on New and Changing Health Technologies (EUROSCAN); the University of Birmingham; National Horizon Scanning Centre; European network for health technology assessment (EUnetHTA) |
| Australia | Department of Health and Aging ( |
| Austria | Institute of Technology Assessment (ITA); Ludwig Boltzmann Institute for Health Technology Assessment (LBI-HTA) |
| Belgium | Federal Kenniscentrum voor de Gezendheidszorg (KCE) |
| Canada | Canadian Agency for Drugs and Technologies in Health (CADTH) |
| Republic of China | National Health Development Research Center (NHDRC); Key Lab of Health Technology Assessment |
| Denmark | Danish Centre for Evaluation and Health Technology Assessment (DCEHTA); Danish Institute for Health Services Research and Development (DSI) |
| Finland | Finnish Office for Health Care Technology and Assessment (FinOHTA) |
| France | L’Agence Nationale d’Accréditation et d’Evaluation en Santé (ANAES); Ministere de la Santé, de la Famille, et des Personnes handicappés; Committee for Evaluation and Diffusion of Innovative Technologies (CEDIT); French National Authority for Health (HAS) Department of Economics and Public Health Assessment |
| Germany | German Institute for Medical Documentation and Information (DIMDI) |
| Israel | Israel Center for Technology Assessment in Health Care (ICTAHC) |
| Netherlands | College voor Zorgverzekeringen/Health Care Insurance Board (CVZ); Health Council of the Netherlands |
| New Zealand | New Zealand Health Technology Assessment Clearing House for Health Outcomes and Health Technology Assessment (NZHTA) |
| Norway | Norwegian Centre for Health Technology Assessment (SMM) |
| Poland | Agency for Health Technology Assessment (AHTAPol) |
| Sweden | Centre for Medical Technology Assessment (CMT); Swedish Council on Technology Assessment in Health Care (SBU) |
| Switzerland | Swiss Network for Health Technology Assessment; Institute for Innovation and Valuation in Health Care (INNOVAL) |
| Thailand | Health Intervention and Technology Assessment Program (HiTAP)/International Health Policy Program (iHPP) |
| UK | National Health System (NHS) |
| USA | Agency for Healthcare Research and Quality (AHRQ); ECRI Institute; Institute for Clinical Systems Improvement (ICSI); Blue Cross and Blue Shield Association’s Technology Evaluation Center (TEC) |