| Literature DB >> 32162368 |
Jane Moseley1, Spiros Vamvakas1, Michael Berntgen1, Alison Cave1, Xavier Kurz1, Peter Arlett1, Virginia Acha2,3, Simon Bennett3,4, Catherine Cohet3,5, Solange Corriol-Rohou3,6, Emma Du Four3,7, Christelle Lamoril3,8, Anja Langeneckert3,9, Maren Koban3,10, Muriel Pasté3,5, Susan Sandler3,11, Karin Van Baelen3,11, Agnese Cangini12,13, Sonia García13,14, Mercè Obach13,15,16, Emmanuel Gimenez Garcia13,15, Leonor Varela Lema13,17, Hanna-Mari Jauhonen13,18, Piia Rannanheimo13,18, Deborah Morrison13,19, Marc Van De Casteele13,20, Anna Strömgren13,21, Anders Viberg13,21, Amr Makady13,22, Chantal Guilhaume13,23.
Abstract
The understanding of the benefit risk profile, and relative effectiveness of a new medicinal product, are initially established in a circumscribed patient population through clinical trials. There may be uncertainties associated with the new medicinal product that cannot be, or do not need to be resolved before launch. Postlicensing or postlaunch evidence generation (PLEG) is a term for evidence generated after the licensure or launch of a medicinal product to address these remaining uncertainties. PLEG is thus part of the continuum of evidence development for a medicinal product, complementing earlier evidence, facilitating further elucidation of a product's benefit/risk profile, value proposition, and/or exploring broader aspects of disease management and provision of healthcare. PLEG plays a role in regulatory decision making, not only in the European Union but also in other jurisdictions including the USA and Japan. PLEG is also relevant for downstream decision-making by health technology assessment bodies and payers. PLEG comprises studies of different designs, based on data collected in observational or experimental settings. Experience to date in the European Union has indicated a need for improvements in PLEG. Improvements in design and research efficiency of PLEG could be addressed through more systematic pursuance of Scientific Advice on PLEG with single or multiple decision makers. To date, limited information has been available on the rationale, process or timing for seeking PLEG advice from regulators or health technology assessment bodies. This article sets out to address these issues and to encourage further uptake of PLEG advice.Entities:
Keywords: drug development; effectiveness; health economics; medicines regulation; safety
Mesh:
Year: 2020 PMID: 32162368 PMCID: PMC7256124 DOI: 10.1111/bcp.14279
Source DB: PubMed Journal: Br J Clin Pharmacol ISSN: 0306-5251 Impact factor: 4.335
Marketing authorisation (MA) types, circumstances and categories of postlicensing or postlaunch evidence generation (PLEG) for European Union regulators
| Marketing authorisation type | Full MA | Exceptional circumstances | Conditional MA |
|---|---|---|---|
| Imposed PLEG type | Annex IID | Specific obligations | Specific obligations |
| Circumstances | |||
| Additional evidence key to benefit risk leading to potential changes to product information | The applicant is unable to provide comprehensive data on the efficacy and safety under normal conditions of use, because the condition to be treated is rare or because collection of full information is not possible or is unethical. | All the following must be met:• the benefit–risk balance of the product must be positive;• the applicant will be able to provide comprehensive data;• unmet medical needs will be fulfilled;• the benefit to public health of the medicinal product's immediate availability on the market outweighs the risks due to need for further data. | |
| PAES delegated act: Investigate uncertainties stemming from surrogate endpoint, combinations, subpopulations, long‐term efficacy, change in standard of care, new scientific factors, or real‐life conditions | Includes category 2 PASS, PAES. | Aimed at treating, preventing or diagnosing seriously debilitating or life‐threatening diseases, including orphan medicines, or for products intended for use in emergency situations. | |
| PAES imposed in the case of ATMPs, Paediatric use of marketed products, or pharmacovigilance referrals | Annual re assessment is needed | Includes category 2 PASS, PAES. | |
| Category 1 imposed PASS | Subject to requirements for the applicant to introduce specific measures | Annual renewal needed | |
| Required PLEG | Includes category 3 PASS | ||
| Additional pharmacovigilance activities in the risk‐management plan | |||
| Recommended PLEG | Important considerations in view of the potential future use of a medicinal product by the MA | ||
ATMP, advanced therapy medicinal product; PAES, postauthorisation efficacy studies; PASS, postauthorisation safety studies.
FIGURE 1Status, objectives and design of studies imposed by regulators in conditional marketing authorisations from the report on 10 years of conditional marketing authorisation experience (n = 77). MAA, marketing authorisation application; PK, pharmacokinetics
PLEG usage characteristics in European Union HTA bodies
| HTA agency | Origin of the request | Data collected | Data source | Type and examples of products | PLEG usage | Challenges and limitations of PLEG |
|---|---|---|---|---|---|---|
| HAS (France) | The HAS transparency committee responsible for medicine appraisal formulate request to the company in the final assessment and appraisal document. | Conditions of use, therapeutic value through effectiveness and safety outcomes | Increasing role for academic cohorts/registries and data from the French national insurance database | Medicines with current postregistration study requests | Reassessment | Long discussions on protocol |
| Delay to access data | ||||||
| Methodological guidelines as well as templates for protocol submission are available on HAS website | The quality of data | |||||
| AIFA (Italy) | Data to be collected are defined (the dataset) by AIFA with the support of its technical scientific committee during the evaluation of the medicines for pricing and reimbursement purposes. | Data collected are related to demographic and baseline clinical characteristic of patients, follow‐up data, end of treatment data, follow up after the end of treatment | Monitoring registries | Monitoring registries | To reassess the product, to use data in the assessment of comparators (e.g. number of patients treated), to apply MEAs (both outcomes‐based and financial‐based), to guarantee the proper use of the medicines | Administrative and technical burdens |
| Spanish HTA | Implementation by HTA | Therapeutic value through effectiveness and safety outcomes | Pharmacoclinical data according to protocols and patient and treatment registration | Advanced therapies and high‐impact medicines for specific rare diseases such as hepatitis C direct‐acting antiviral treatments, Nusinersen for the treatment of spinal muscular atrophy and CAR‐T cells for the treatment of lymphoma and leukaemia. | Monitoring data and evaluate the managed entry agreement stipulated between the marketing authorisation holder and the Spanish Ministry of Health. | The quality (completeness, quality …) of data can be a challenge. Experience in a national or generalised sense is still scarce. |
| Five ad‐hoc nonpharma registries started in the 2015–2019 period | Support innovative contracting schemes in a regional HTA or hospital level such as risk sharing agreements since 2010 | |||||
| Support the generation of additional data for financing decision making (nonpharma use) | ||||||
| RIZIV INAMI (Belgium) | Request to the company for clinical and volume data | Clinical data | New phase III studies the results of which were known later | Confidential information | Reassessments | Methodology |
| Pharmacoeconomic data | Phase IV studies | Renegotiations of reimbursement | Completeness of some databases | |||
| Claims database | Managed exit agreement | |||||
| Clinical registries | ||||||
| ZIN (the Netherlands) | (Hard) clinical outcomes (e.g. survival quality of life) | Data from clinical practice, including registries, claims data, phase IV studies | Historically: orphan‐ and expensive drugs examples include drugs for Pompe and Fabry's disease, severe asthma (omalizumab) and breast cancer (Herceptin). | Either reassessments after a given period, or developing recommendations for appropriate use of drugs (e.g. start/stop criteria) | Scientific: biases in data collection and analyses, methodological challenges relating to population level effectiveness | |
| Economic outcomes (direct, indirect medical/nonmedical costs) | Now focus on orphan drugs and those licensed with conditional or exceptional licenses. | Policy: difficulties in taking hard measures (e.g. removal from insurance package) based on uncertain data. | ||||
| Usage example | ||||||
| NICE (England) | Collection of PLEG to inform managed access agreements (NHS England CtE scheme). CtE developed and refined with the NICE which advices NHS on the need, the selection criteria, outcomes and the length of follow‐up measure, number of patient and centres, data sources. | Clinical effectiveness, cost‐effectiveness, differential benefit between subgroup, impact of comorbidities | Data from registry | Many of the technologies approved through the cancer drug fund. Osimertinib. | Once the CtE evaluation report is available, NHS England's published policy for the treatment concerned will be reviewed and a decision will be made with regard to whether NHS England will or will not make the treatment available within the NHS. | Data collection/governance, comparators, length of follow up, timing with primary data collection |
| G‐BA (Germany) | G‐BA request for registry data (including German patients depending on the indication) to be provided by the medicine's developer, currently at the time of the initial appraisal of the product | Clinical data that enable a comparison (direct or indirect) of relevant endpoints for efficacy and safety | Disease registries | Orphan drugs, ATMPs | Currently at the time of reassessment | ‐Data quality (e.g. sufficient information on patient baseline characteristics, endpoint definitions, high amount of missing data) Comparative data for relevant patient population against standard of care‐ Limited experiences in the national setting with the usage of PLEG data |
| Registry studies/data are also evaluated during the initial appraisal if such data are submitted by the developer in the dossier | ||||||
| TLV (Sweden) | Implementation by TLV | National data from registries | The Swedish prescribed dispensed pharmacy registry | Haemophilia, NOAC, neuroscience, cardiovascular (PCSK9 and Entresto) | Reassessment or confirming previous assessments | Lack of efficacy variables and long timelines for merging different data sources of patient characteristics |
| FIMEA (Finland) | FIMEA's HTA reports include a chapter on PLEG. The aim is to identify the postlaunch evidence needs that would be the most valuable in reassessments. | FIMEA has no standard process for data collection and analyses in the context of PLEG. | Data could be derived from number of sources ranging from national health care data to clinical trial data depending on the addressed evidence uncertainty. | All FIMEA's HTA reports include a chapter on PLEG. | The experience in using PLEG in reassessments, managed entry agreements and decision making is very limited. | Lack of standard processes in using PLEG in decision making |
| In the HTA reports, the identified PLEG needs typically include updated results from ongoing clinical trials and national RWD to describe the use and outcomes of the treatment (and its comparators) in clinical practice. | FIMEA assess new hospital‐only medicinal products. | Quality of and timely access to real world data |
NOAC: nonvitamin K antagonist oral anticoagulants; PCSK9: proprotein convertase subtilisin/kexin type 9; MEA: managed entry agreement; CtE: commissioning through evaluation; NHS: National Health Service; AIFA: Agenzia Italiana del Farmaco/Italian Medicines Agency; FIMEA: Finnish Medicines Agency; NICE: National Institute for Health and Care Excellence; RIZIV‐INAMI: Rijksinstituut voor Ziekte‐ en Invaliditeitsverzekering/Institut national d'assurance maladie‐invalidité/National Institute for Health and Disability Insurance; TLV: Tandvårds‐Läkemedelförmånsverket/Dental and Pharmaceutical Benefits Agency; ZIN: Zorginstituut Nederland/National Health Care Institute); ATMP: advanced therapy medicinal product; HAS: Haute Autorité de Santé/French National Authority for Health.
Examples and uncertainties suitable for postlicensing or postlaunch evidence generation (PLEG) advice. This not a prescriptive or exhaustive list
| Status of PLEG | Objectives of PLEG | Examples |
|---|---|---|
| Advice timing: premarketing authorisation application | ||
| PLEG anticipated by developer while defining clinical development plan | Pharmacovigilance activities | Advice on risk management planning—proposed important identified and potential risk, pharmacovigilance plan, and risk minimisation measures |
| PAES | Advice on potential postauthorisation effectiveness study, discussion on feasibility assessment, biases, target groups and relevant endpoints | |
| Conditional MA planning | Advice on evidence in terms of efficacy and safety, postlicensing, to convert to a full MAA for treatment | |
| Long‐term follow‐up | Plans for long‐term monitoring of both safety and efficacy | |
| Comprehensive planning | Advice on the postlicensing plan (ongoing clinical studies, routine pharmacovigilance, real‐world prospective data on effectiveness, and pharmacoeconomic data | |
| Advice timing: perimarketing authorisation application | ||
| PLEG anticipated peridecision making | Qualification or advice procedure | Qualification of the core data elements to be collected in a registry or safety study postlaunch |
| Advice timing: after marketing authorisation granted | ||
| PLEG imposed by regulators | PAES | Advice on studies on effectiveness to confirm external validity of pivotal data, parameters of study design |
| PLEG imposed by regulators, advice after MA | PASS category 1 | Advice on long‐term RCT, with an active comparator followed by an extension study, on specific safety issue |
| PASS category 1 | Advice on design of a noninterventional safety study deriving from a registry according to an agreed protocol | |
| PAES annex II | Advice on PAES commitment to investigate the efficacy in elderly patients in RCT | |
| PAES annex II | Advice on proposed prospective observational cohort study is designed to analyse the effectiveness in real‐world settings | |
| PLEG required by regulators | PASS category 3 | Advice on an interventional study to determine incidence and severity of a specific adverse drug reaction in patients treated with combination treatment |
| Advice on an observational study of the interpretability and accessibility of education materials for health care professionals and patients | ||
| Advice on an observational study to evaluate incidence of discontinuations due to the specific adverse drug reaction in patients receiving treatment in a patient support programme | ||
| To demonstrate long‐term immunogenicity and effectiveness for a vaccine | ||
| PLEG recommended by regulators | PAES | Advice on an open label pragmatic, prospective, interventional study to further explore the long‐term effects of treatment on symptoms and disease complications |
| PLEG voluntary by developer | Advice on the concept and data package needed to amend the restriction of the hospital setting use | |
| Adequacy of evidence‐generating needed programme to modify risk mitigation measures | ||
| The acceptability of a pragmatic trial, with a standard of care comparator, to assess effectiveness | ||
| To collect further data in population subgroups | ||
| Prior or postinitial assessment, line extensions | ||
| Imposed or upon request by HTAs for reassessment | Advice at national level | Description of patient characteristics, mode of use of the drugs (including impact on health care organisation) and therapeutic strategies that could impact product on the long‐term effectiveness of the product |
| Comparative long‐term clinical and economic data | ||
| Imposed or upon request by payers at national level regarding HTA‐only specific uncertainties | Advice at national level only | Evaluation of budget impact of the drug in real condition of use with size of the treated population, treatment duration, usage in combinations, dosage, compliance |
| Monitoring long‐term effectiveness and cost‐effectiveness in the context of conditional coverage. | ||
RCT: randomised controlled trial; PASS: postauthorisation safety studies; PAES: postauthorisation efficacy studies; MA: marketing authorisation
FIGURE 2Options for seeking European regulatory or HTA body advice on PLEG according to stage of development, which are discussed in this paper. Solid line: Subject to validation/prioritisation criteria. Broken line: Case by case justification. EMA: European medicine agency; EUnetHTA: European network of health technology assessment; PLEG postlicensing or postlaunch evidence generation. MA: Marketing authorisation; NCA: National Competent Authority; HTA: Health technology assessment