Chapter 3: Priority Setting Priority Medicines for Europe and the World "A Public Health Approach to Innovation" Background Paper Priority Setting Warren Kaplan, Ph.D., JD, MPH 7 October 2004 3-1 Chapter 3: Priority Setting Table of Contents 3. Priority Setting ............................................................................................................................. 3 3.1 General Introduction to Priority Setting ....................................................................... 3 3.1.1 Subjective Methods ............................................................................................. 3 3.1.2 Using Burden of Disease as a Benchmark ....................................................... 3 3.1.3 Valuing Impact on Actual Clinical Practice .................................................... 3 3.1.4 Valuing Information Itself ................................................................................. 4 3.2 Definition of “Priority” Medicines ................................................................................ 4 3.2.1 Drug Regulatory Authority Priority Setting and Innovation ....................... 4 3.3 Public Sector Priority Setting: National Cancer Institute, Global Forum and Others ................................................................................................................................... 6 3.4 Private Sector : Prioritizing Pharmaceutical R&D Private Sector “Unmet Needs” Assessment .......................................................................................................................... 7 3.4.1 Pharmaceutical Company’s Product Development Strategy ....................... 7 3.4.2 Determining Unmet Medical Need: Company A........................................... 8 3.5 Prioritization in Other Contexts ...................................................................................... 8 3.5.1 Examples of Priority Setting at a Local Level ................................................. 8 a. Hospital Formulary Committees ...................................................................... 8 b. The Oregon Experiment ..................................................................................... 9 3.6 Prioritizing for the Priority Medicines Project ........................................................... 10 3.6.1 Background: Solving Problems and Making Decisions.............................. 10 3.6.2 Priority Setting as a Political Process ............................................................. 11 3.6.3 Putting Explicit Models in Perspective: Providing a “Menu” for Policy Makers ................................................................................................................ 11 a. The "Evidence Based" Approach (e.g., Acute Stroke, Chronic Obstructive Pulmonary Disease, Alzheimer`s disease): Modes 1 and 2 in Figure 3.1 .. 11 b. Priorities Based on Predictions and Probabilities (e.g., Antibacterial Resistance, HIV): Modes 5, 6 and 7 in Figure 3.1. ........................................ 12 c. Priorities Based on Social Justice (e.g., Orphans, special patient groups, and the Neglected Diseases): Modes 5, 6 and 7 in Figure 3.1 ..................... 12 d. Bringing the Evidence Base "Up to date": Modes 1, 2, 5, and 6 in Figure 3.1 ........................................................................................................................ 13 3.7 Conclusions ....................................................................................................................... 13 References ................................................................................................................................... 14 Annexes Appendices 3-2 Chapter 3: Priority Setting 3. Priority Setting See Annex 3 3.1 General Introduction to Priority Setting Setting priorities for health research includes two broad approaches: technical analyses which rely on quantifiable epidemiologic, clinical, financial or other data, and interpretive assessments, which rely on consensus views of informed participants. Technical approaches depend on the availability of data and priorities tend to be based on these measurable units such as diseases (burden of disease) or interventions (with respect to their costs and use). See, for example, literature on clinical trial investments 1 or assessments of technology.2, 3 The difficulty with quantitative methodology is that it hides value judgments that might reflect those of stakeholders not involved in the methodology, such as users and payers of healthcare services. Indeed, as will be discussed in Chapter 4, even measuring the burden of disease itself means different things to different people. The funding priorities of the U.S. National Institutes of Health (NIH) demonstrate this point rather well.4 See also Subsection 3.1.2. Interpretive/consensus stakeholder approaches relying on the subjective judgments of participants are, in theory, capable of dealing with value judgments and multifaceted assumptions and they have been used for research priority setting in large, governmental agencies like the U.S. National Institutes of Health ( NIH), 5 the Science and Technology Council of Australia6 , or even large pharmaceutical companies . 3.1.1 Subjective Methods In many cases of priority setting, if one carefully reviews the methodology, one sees that the assessment of the importance of research is often based on subjective judgments of reviewers and referees and the consensus that emerges from their various opinions. Such methods cannot provide a truly objective judgment, nor can there be a replicable methodology for valuing research and setting priorities since there is no formal measure of health research being estimated. Such methods may be useful, however, to complement more evidence-based approaches. 3.1.2 Using Burden of Disease as a Benchmark The assumption in this method is that the higher the burden, the greater the cost to society of the disease, and the greater the need for research. Priorities are then set based on the relative contribution of each disease to the total burden, the measure of burden ranging from epidemiologic measures to combinations of mortality and morbidity (e.g., disability adjusted life year or DALY). See Chapter 4.The assumption is that the burden of disease rankings can be translated into a need for research. This assumption is not proven. 3.1.3 Valuing Impact on Actual Clinical Practice The impact of research on actual clinical practice has been used for prioritization, based on the assumption that randomized clinical trials (RCTs) showing benefit of one treatment over another (i.e., standard treatment vs. new treatment) is likely to change current practice, and thus provide a net health benefit to the population.19 More often than not, RCTs providing such "head to head" comparisons are not done (See Chapter 8.4). Moreover, there may be more ways to modify current clinical practice than to conduct more clinical research. 3-3 Chapter 3: Priority Setting 3.1.4 Valuing Information Itself These models recognize the uncertainty in prioritization due to the uncertainty in the factors that make up the decision. These decision-analytic methods provide some quantitative measure of the uncertainty. Different parameters are assigned probability distributions that represent how well we understand the parameters. Using, for instance, various computer simulations, the models are iterated and expected costs and outcomes for treatments are calculated. Decisionanalytic methods have been proposed as a framework for decision making for the UK`s National Institute of Clinical Excellence (NICE).19 Analysis and subjective/intuitive approaches can be identified at various places on a ‘cognitive continuum’ that embodies changing ratios of analysis to intuition. Figure 3.1 is taken from Appendix 3.5 and is based on the work of Kenneth Hammond at the University of Colorado, Boulder CO. Our methodology for prioritization uses this framework at several different places. See Subsection 3.6. Figure 3.1: A Cognitive Continuum Framework INTUITION Quality of Intuition ANALYSIS Least precise/explicit MODE: Knowledge Generation Decision/ Policy Making Quality of Analysis 7 6 Most precise/explicit 5 4 expert descriptive nonclinical cognitive judgement consensus models judgement judgement clinical expert noncognitive judgement consensus judgement judgement 3 case control study 2 1 randomized laboratory controlled experiment trial decision models Source: J. Dowie. In: Health Care Priority Setting. A. Oliver ed. Nuffield Trust, UK 3.2 Definition of “Priority” Medicines 3.2.1 Drug Regulatory Authority Priority Setting and Innovation We briefly review how the drug regulatory agencies of the United States, the EU and Canada define a “priority” medicine. UNITED STATES The classification system of the U.S. Food and Drug Administration (FDA) assigns all new drug approvals to categories representing distinct levels of innovation, and this classification is relevant for our purposes as it highlights the different meanings of the term “innovation”. The FDA reviews new drug applications (NDAs) and awards “priority “ status based on chemical type and therapeutic potential. With regard to the latter, a drug qualifies for “priority review” because it is a significant improvement over marketed products. With regard to the former, a NEW MOLECULAR ENTITY (NME) is a drug whose active ingredient has never before been approved by the FDA for the 3-4 Chapter 3: Priority Setting U.S. market. An INCREMENTALLY MODIFIED DRUG (IMD) is one that relies on an active ingredient present in a drug already approved for the U.S. market, or a closely related chemical derivative of such an ingredient, and has been modified by the manufacturer. “OTHER” drugs are drugs with an active ingredient that is already available in an identical marketed product. A STANDARD DRUG is a product that does not qualify for priority review and it can be an NME, IMD or “other”. Most U.S. observers would view priority NMEs as the most innovative type of new drug. The FDA has also granted priority status to some IMDs, indicating that they provide therapeutic advances even though they are derivatives. Priority IMDs are also moderately innovative. The FDA, however, rates many NMEs as “standard” and, although based on new compounds, these drugs usually have the same mechanism of action and outcomes as other drugs on the market. Standard NMEs may have different safety and efficacy profiles from other marketed drugs in the same class. Thus, standard NMEs may enhance clinical outcomes even if they do not demonstrate significant improvement over other medicines already available. 7 We further note that the Institute of Medicine (IOM) Report on the National Institutes of Health (1998)8 investigated the research prioritization in the NIH. Research prioritization at the Institutes within the NIH varies by Institute. The National Eye Institute has a formal planning process although details are not known at this time. The National Cancer Institute (NCI) plans, promotes, and carries out disease-specific research, through advice from expert Progress Review Groups (PRGs) in an interpretive/consensus stakeholder approach. EUROPEAN UNION EU Products are eligible for “priority review” by the European Agency for the Evaluation of Medicinal Products (EMEA) if they claim to provide a significant improvement compared to marketed products in the treatment, diagnosis, or prevention of a disease. This is not the same as “fast track” status in which the license processing time is approximately halved. The EU system grants this accelerated approval based on the seriousness of the disease, the absence or insufficiency of an appropriate alternative, and anticipation of high therapeutic benefit. CANADA “Priority” medicines in Canada are those for a serious, life-threatening or severely debilitating illness or condition for which there is substantial evidence of clinical effectiveness. Specifically, the drug must provide effective treatment, prevention or diagnosis of a disease or condition for which no drug is presently marketed in Canada. Alternatively, the drug must provide a significant increase in efficacy and/or significant decrease in risk such that the overall benefit/risk profile is improved over existing therapies. The benefit/risk evaluation in Canada may include: Improvement in one or more of the serious outcomes A favorable effect on a serious symptom of the condition for which there is no existing therapy; A clinical benefit in individuals unable to tolerate, or unresponsive to, existing therapies; Demonstration of effectiveness in combination with other critical agents, where no information is available; Demonstration that the new agent is able to provide clinical benefits that are similar to existing therapies while a) avoiding serious toxicity present in existing therapies and/or 3-5 Chapter 3: Priority Setting b) avoiding less serious toxicity, common to the therapy, which results in the discontinuation of treatment for a serious disease. See Canadian Ministry for Health. 9 3.3 Public Sector Priority Setting: National Cancer Institute, Global Forum and Others Over the past decade, attempts at priority setting for healthsector research have been made by public sector organizations such as the NIH, the Global Forum for Health Research, TDR, other WHO collaborations. We provide brief summaries of a few of such attempts. The Commission on Health Research for Development (COHRD: 1990) was an independent international initiative formed in 1987 with the aim of improving the health of people in developing countries through a focus on research. The idea of country-specific research became manifest as the Essential National Health Research (ENHR) concept. 10 See Appendix 3.1. The World Development Report (WDR) 11 was the 16th in a series of World Bank reports and was prepared in conjunction with the WHO. Probably the greatest value-added was the use of the Disability Adjusted Life Year (DALY) – arguably a major advance in methodology- to help guide resource allocations towards reducing the greatest burden of disease and for which there are cost effective responses. See Appendix 3.2. The Ad Hoc Committee on Health Research 12 (1996) was established under WHO auspices and was formed based on the previous conclusions of the WDR as well as the interests of funders and foundations in health R&D. The Committee focussed on needs of low to middle income countries but realized that “private sector” product development considerations (magnitude of the problem, basing cost-effectiveness of new therapies and products on scientific judgment) can inform debate about priorities for public sector R&D as well. A major contribution of this document was the identification of specific high priority product development opportunities using a systematic “ 5 step” process. The WHO Advisory Committee on Health Research is the primary expert WHO advisory body on scientific research and practices and their role is to analyse health status to guide a global health research agenda.13 Their methodology for setting research criteria is written in only the broadest terms. See Appendix 3.3. The Global Forum for Health Research 14 has created a framework (Combined Approach Matrix: which brings together in a systematic manner all information (current knowledge) related to a particular disease or risk factor. This framework is a very useful way of organizing information. It identifies gaps in knowledge and future challenges. In part, its value is in its ability to help set priorities for national, regional or global diseases. See Appendix 3.6. The framework allows identification of “common factors” by looking across diseases or risk factors. Completing the matrix should highlight the “blank areas”, i.e., where there are gaps in information needed to make rational decisions. We have based our approach, in part, on this methodology (See Section 4.3). The Special Programme for Research and Training in Tropical Diseases (TDR) prioritizes research using an expansion of the Global Forum matrix to include information on TDR's comparative advantages and, based on this, provides conclusions as to TDR's strategic research emphasis. Prioritization is done on a disease-by disease basis. TDR has completed this prioritization exercise for African trypanosomiasis, Dengue, Leishmaniasis, Malaria, Schistosomiasis, Tuberculosis, Chagas disease, Leprosy, Lymphatic filariasis, and Onchocerciasis. For each disease, the analysis was undertaken by the TDR in consultation with outside experts.15 See Appendix 3.4. 3-6 Chapter 3: Priority Setting WHO-IFPMA ROUND TABLE 16 : In 2000/2001, a joint task force comprising members of the WHO and the pharmaceutical industry convened to establish a working list of infectious diseases and review disease burden as a way of directing research priorities. The criteria used for assessing disease impact included, in addition to disability adjusted life years (DALYs): mortality, societal costs, likelihood of treatment and forward trends. They then reviewed existing interventions on the basis of availability and any limitations of medicines. Current levels of industry activity for each disease were assessed. A judgment on the need for additional medicines R&D was therefore made both on the basis of the current or likely future availability of medicines and of other treatment approaches. Altogether a combination of 17 assessment criteria were used. See Appendix 3.7. 3.4 Private Sector : Prioritizing Pharmaceutical R&D Private Sector “Unmet Needs” Assessment 3.4.1 Pharmaceutical Company’s Product Development Strategy Based on discussion with industry executives, we would describe the general process used by the industry as follows: For the pharmaceutical industry, there is no “generic” method for determining unmet medical need and for creating a product development profile, as each organization has different needs and agendas. However, most companies combine commercial market research, competitive intelligence, therapeutic strategies with scientific development to determine their therapeutic product profile. Decisions about new drugs are generally made within a set of four different contexts, scientific opportunity, market assessment, available and required resources and medical need. 17 From a marketing viewpoint, a “classic” market-based series of steps might occur as follows: Review the marketplace to identify unmet medical needs. This involves reviewing the therapeutic area to understand the state of practice and to identify key market openings that reflect this unmet medical need. This task requires interpreting complex epidemiological and economic data “ … where there are not accepted definitions of need.”17 How does one compare the “need” for new treatments for rare, fatal conditions with need for palliatives for common diseases that produce disability but not death? See Subsection 3.4.2 Benchmark competitor products to understand the competitive landscape; Identify the market segments and patient populations a product will target; Identify all possible additional indications that might make the compound more valuable. Often, companies seek to introduce more indications and line extensions earlier in a product “lifecycle” so as to maximize a molecule’s lifetime economic value; Create a dosing and delivery profile to provide optimal dosing and delivery mechanisms; Understand the broad market preferences for the key characteristics of the product so that commercial perspectives are embedded early on in the product development cycle. The goal of market research at this point would be to find a product profile that physicians would prescribe at levels needed to justify further development; Assemble market research to profile key geographic markets to ensure product success; Create an ideal new product launch profile since marketers note the importance of identifying characteristics that would enable a fast-uptake launch for the new product. 3-7 Chapter 3: Priority Setting There are numerous tools and tactics to make these assessments. These include, among others, structured processes to guide teams through critical discussions, milestones and decisions, sophisticated decision trees and complex econometric forecasting to integrate several decision factors with use of historical benchmarks of past project from similar areas. We note that overly complex and financially driven models can provide a false sense of certainty into an inherently risky endeavour. 3.4.2 Determining Unmet Medical Need: Company A One of the largest innovative pharmaceutical companies shared their approach to determining “unmet medical needs” with us. They have found that determining and measuring unmet needs is not straightforward. Many factors, conscious and unconscious, contribute to a person’s perception of unmet needs and these will vary between people and between different diseases. Recognising this, the company established a systematic method in the 1990s to measure perceptions of unmet needs amongst its customers. The process started with qualitative market research among doctors in the US and Europe to determine what they believed were the key components of unmet medical need. These varied from the extent of physical or psychological suffering the disease imposed on the patient, to the financial impact of the disease, the likelihood of complications and the effect on careers. In total, 18 major classes of factors were identified. The company discovered that healthcare providers in the US and Europe view unmet medical needs in the same way. Hence the company developed their unmet need model with US doctors but with the understanding that the model would also be appropriate in the European setting. Following the initial qualitative phase, the company embarked on a major piece of quantitative market research whereby over 700 doctors (primary care and specialist) in the US have ranked over 600 conditions against these 18 factors. The end result of this process is that an unmet need “score” can now be associated with any disease from the prescriber’s perspective. In this way the company can determine which are the more significant diseases in terms of unmet needs as perceived by primary care and specialist prescribers. In addition, by further studying the data the company has been able to determine the drivers of the unmet need for each disease so they are able to direct their research efforts. Finally, using a decision tree approach, the company is able to determine the extent to which the unmet need might be reduced if a new therapy were introduced. The company has repeated this market research routinely because it is recognised that unmet need is not static. As new treatments are introduced, perceptions of unmet needs will change and these need to be continually monitored. 3.5 Prioritization in Other Contexts 3.5.1 Examples of Priority Setting at a Local Level Albeit on a different scale than the EU, the issues raised in priority setting for pharmaceuticals in hospital formularies and the state of Oregon are illustrative and we briefly discuss these below . a. Hospital Formulary Committees Priority setting for new drugs in a hospital context such as in a hospital drug formulary committee 16 is based on a complex array of factors that include clinical evidence, adverse reactions, availability of alternate drugs, ease of administration, cost of the drug as compared to current drug cost, and , comparative advantages of over drugs. Formulary committees do not review all these factors, but rely on clusters relevant to each decision. Thus, in this case, decision making is highly dependent on “context.” 3-8 Chapter 3: Priority Setting Studies have described decisions regarding new drugs as being based on: “thresholds” determined from information on effectiveness 17, generic substitution principles 18, or other, somewhat limited survey information or decision making techniques. 19 b. The Oregon Experiment In the late 1980s Oregon (a state in the northwestern part of the United States) decided to expand Medicaid coverage for low-income individuals, to a greater number of people. Oregon formulated an explicit process for setting priorities in health services. The Oregon methodology used five primary care physicians, a public health nurse, a social worker and four members of the public and they were to draw up a list of services ranked according to priority of importance, based on considerations of clinical effectiveness and social values. Panels of physicians rated the clinical effectiveness of approximately 1000 condition-treatment pairs. Public input was sought to integrate social values into the priority list. i There was widespread criticism of some of the rankings. This was related in part to the poor data on effectiveness20 and probably on how people view health “utilities”.ii We have reviewed the Oregon priority list . Pharmaceutical interventions, in decreasing order of ranking are listed below. Those conditions in bold are also found in our preliminary list for developing “priority medicines” (See Chapter 5). 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. Type 1 diabetes mellitus Peritonitis Acute glomerulonephritis Tuberculosis Pneumoccocal pneumonia, other bacterial pneumonia Pertussis and diphtheria Acute bacterial meningitis Hodgkin’s disease Liver abcess Pancreatic cancer Non diabetic hypoglycaemic coma Acute osteomyelitis Acute mastoiditis Pyogenic arthritis Acute inflammation of the heart Peripheral vascular disease Septicemia Necrotizing enterocolitis in fetus or newborn Neonatal thyrotoxicosis Respiratory conditions of fetus and newborns Low birth weight Fetal hemorrhage Cystic fibrosis End stage renal disease Liver cirrhosis, polycystic liver disease, i Public preferences for a variety of health states were obtained by a random telephone survey. Meetings were held across the state to assess the public's values regarding various health services. Public meetings were held to allow input from special interest groups regarding specific services. ii Hypothetical choices about severe medical conditions elicit different responses when the choices are placed in a social context as people tend to give such conditions much more weight (See endnote 18). 3-9 Chapter 3: Priority Setting 26. 27. 28. 29. 30. 31. 32. 33. 34. 35. 36. 37. 38. 39. 40. 41. 42. 43. 44. 45. 46. 47. 48. 49. 50. 51. Diabetes insipidus Asthma Pneumonia due to respiratory syncitial virus Schizophrenia Recurrent Major depression Bipolar disorders HIVOpportunistic HIV infections Malaria Heart failure Single episode of depression Attention deficit disorders Hypertension Ulcers, gastritis Uterine cancer Breast cancer Ovarian cancer Transient cerebral ischaemia Lung cancer COPD Stroke Acute bronchitis Type 2 diabetes mellitus Rheumatoid arthritis Acute otitis media Alcoholic liver disease 3.6 Prioritizing for the Priority Medicines Project 3.6.1 Background: Solving Problems and Making Decisions If we agree that resources for pharmaceutical R&D are substantially fixed and the needs and demands for health interventions are not, then all decisions regarding R&D resource allocation decisions are rationing decisions. Rationing in this situation implies that, because of cost and other constraints, not every disease condition will get every medicine that is needed, wanted, or even deserved. Prioritizing, fixing agendas, setting goals and designing actions are usually called “problem solving” and evaluating and choosing among alternative actions is called “decision making”. Many problems (e.g., designing a building, creating a public health based pharmaceutical R&D prioritisation) have complex, ambiguous goals and are constantly shifting or transforming in the course of exploring the problem. Much of the research about organizational decision-making in management studies, industrial sociology and organizational psychology reveals that organizational decision-making is often messy, implicit, intuitive and ill-defined.21 The goals of a public health care system are a complex amalgamation of a number of other goals, not all of which are readily defined. Thus, the use of any one tool to set priorities within such a complex entity may be overly simplistic. 22 Indeed, evidence shows that allocations of research funds by the NIH through largely informal and unstructured processes turn out to be consistent with measurements of disease burden (a criteria used on more formal priority setting models). 23 3-10 Chapter 3: Priority Setting This complexity is further underscored by Holmstrom (1999), who stated that “… priority-setting is a complex interaction of various decisions at diverse levels in the organization. There is no self obvious set of ethical principles or scientific tools to determine what decisions we should take at various levels, nor is there an easy or obvious way to determine what decisions we should take at various levels, nor is there an easy or obvious way to resolve the dilemma of the increasing gap between what we can and would like to do on one hand and the resources on the other”.24 There is no one correct answer; indeed there may not even be an answer. At a minimum., there will be moral disagreements over the decisions that are made. 25 For example, setting pharmaceutical research priorities based on principles of efficiency may lead to very costeffective interventions that cannot be offered to everyone because of the expense, thereby violating the principles of equity. 3.6.2 Priority Setting as a Political Process The question then becomes whether priority setting is, or can be, a truly rational undertaking 26 or whether it is essentially a value-based political process.18 Priority setting in health care at the level of the European Union involves inadequate information, uncertainty, and conflicting interests among many people, many goals and many values. Ultimately, it must be essentially a political process which involves “pluralistic bargaining between different lobbies, modified by shifting political judgements made in the light of changing pressures.” 24 Under such circumstances, it may be that what is required is an explicit framework that allows stakeholders to debate about what values should be used to set priorities. This suggests that a truly comprehensive process of priority setting requires public input (to understand individual and societal principles) and accountability (to make explicit the rationale for decisions). 27 3.6.3 Putting Explicit Models in Perspective: Providing a “Menu” for Policy Makers We believe there is no “best” way to prioritise pharmaceutical R&D in a public health context and such prioritisation should be viewed, not as a problem to be solved, but as a multidimensional “dilemma” iii. There are principles of allocation which can be thought of as a series of non- exclusive items on the continuum of Figure 3.1 as a “menu” that policy makers might consider. We briefly discuss these allocation principles and then summarize how policy makers might use them in prioritisation of pharmaceutical R&D. a. The "Evidence Based" Approach (e.g., Acute Stroke, Chronic Obstructive Pulmonary Disease, Alzheimer`s disease): Modes 1 and 2 in Figure 3.1 We have combined burden of disease analysis and an assessment of clinical efficacy of interventions for diseases using rankings for burden of disease and the Cochrane Reviews of randomized clinical trials. See Chapter 4 for further details of the burden of disease method and the clinical trial reviews. Each of the burden of disease and clinical efficacy analyses has important limitations which are further discussed in Chapter 4. At best, the combination of burden of disease and clinical efficacy provides a preliminary, retrospective review of pharmaceutical "gaps", in particular because newer and very old therapeutic interventions will not be found in the Cochrane Reviews (See Chapter 4). While we have analyzed the risk of side effects, we have been unable to incorporate this data into our priority setting as the quality of the data was so uneven. See Chapter 5 and the Annexes to Chapter 5. Dilemma: “ Any situation necessitating a choice between unpleasant alternatives”, Webster’s New World Dictionary, 1960, World Publishing Company, USA iii 3-11 Chapter 3: Priority Setting b. Priorities Based on Predictions and Probabilities (e.g., Antibacterial Resistance, HIV): Modes 5, 6 and 7 in Figure 3.1. What are the emerging diseases that will affect the European Union and the world going forward? What existing diseases or risk factors will grow in importance? The answers to these questions form our second prioritization method and are based primarily on consensus judgments and observational and clinical evidence. Clearly, antibacterial resistance is not a disease condition per se, but we believe its importance as a threat to global public health will continue to grow. Few, if any, clinical trial reviews on HIV or diabetes have yet found their way into the Cochrane database. As a result, we have relied on the predictive power of other evidence and the views of experts in the field to develop priorities. c. Priorities Based on Social Justice (e.g., Orphans, special patient groups, and the Neglected Diseases): Modes 5, 6 and 7 in Figure 3.1 There are many perspectives one can take with regard to pharmaceutical research priority setting in terms of the Priority Medicines Project. One can conceptualise priority setting within a legal context as emphasizing universal rights to health care, or within a medical perspective as relying on evidence-based medicine, or within an economics perspective as emphasising costeffectiveness analysis. Recently, many have argued that priority setting is an ethical exercise that requires moral reasoning28 29. Accordingly, various ethical theories have guided priority setting. 30 We have chosen to emphasize the ethical and moral aspects of priority setting as our third prioritization method along the continuum of Figure 3.1. Many European countries have a long history of social solidarity. This has been demonstrated by the creation of universal social security systems and national health systems which ensure that everyone in that society should have access to medical care and pharmaceuticals. The USA and Europe have chosen to pass legislation for "orphan diseases" which require the society to spend substantial funds on a limited number of afflicted individuals who suffer from rare diseases.. At a global level we would suggest that based on principles of global solidarity, similar efforts should be made to cure "neglected" diseases which afflict poor people in poor countries. Ethical and moral values are invoked to mobilize support for various health initiatives. There are several schools of moral concepts that have explained this approach and two are briefly summarized. “Utilitarianism” is based on providing the greatest good for the greatest number and is usually defended in terms of efficiency. Across all individuals in a society, the ideal condition is one that maximizes health because health generates "utility" directly (such as generating increased economic growth, and thus enhancing aggregate income). Therefore, under a strict interpretation of utilitarianism, research funds would be distributed to diseases or specific interventions in such a way as to maximize the net well-being of everyone. The WHO Commission on Macroeconomics and Health estimated the costs and benefits of disease burdens and asserted that investing in health would generate economic growth. 31 "Equity" is a relational concept and much important work has been done to clarify what health equity really is. 32 An equity based evaluation should consider not only allocation of a fixed set of health resources but the allocation of resources generally between health and other objectives. The basic idea is that burdens (e.g., morbidity, mortality, costs of healthcare) and benefits (e.g. health, well being, a chance to recover) are distributed fairly across individuals and groups. The “equity” principle underlies priority setting based on either need, age or treatment effectiveness. For example, the use of need for priority-setting might rank research into health promotion programs very poorly 33 although from a utilitarian viewpoint, promotion programs 3-12 Chapter 3: Priority Setting might have more “bang for the buck.” Equity remains the presumptive principle in debates over democracy, the social welfare state, and the distribution of income and other goods. Powerful arguments based on equity have been raised such as the call to expand funding for antiretroviral therapies for people living with HIV and AIDS in poor countries. We note that such aspects, given human nature, will inevitably find themselves discussed even using purely evidence based methods. In this regard, we have applied this relational concept of "equity" and have prioritized orphan diseases (Chapter 7.5), diseases of special patient groups (Chapter 7.2, 7.3 and 7.4) and "neglected diseases" (6.9) as those worthy of examination by the European Union, even though they affect small numbers of patients and, in the case of neglected disease, affect patients living outside the EU. d. Bringing the Evidence Base "Up to date": Modes 1, 2, 5, and 6 in Figure 3.1 In order to bring these various methodologies "up to date", we have then used aspects of the framework developed by the Global Forum for Health Research to ask additional questions about the current state of diseases of interest. See Section 6.8. We have obtained information about the present "state of the science", the drug pipelines, and the funds appropriated towards various therapeutic interventions for the conditions identified using our evidence based approach. Completing the questions highlights the “blank areas”, i.e., where there are gaps in information needed to make rational decisions. 3.7 Conclusions Bearing in mind all of the above discussion about priority setting, we have decided to use more than one pragmatic public health based criterion for setting priorities for pharmaceutical research for Europe and the World. The key evidence-based criteria used are the Burden of Disease (as measured by DALYS and mortality) and evidence of a lack of efficacy for treating specific conditions. The other approaches are based on a consensus view about emerging public health issues and ethical/moral views from a patient-centered perspective. Authorities under differing circumstances may use different source data or weight the data in different ways and may produce different results. 3-13 Chapter 3: Priority Setting References Detsky, A.S. 1989. Are Clinical Trials a Cost-Effective Investment? 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