Pharmacoeconomics Basic principles of pharmacoeconomics, types of pharmacoeconomic analyses and their relevant use in clinical practice Barbora Říhová, Ph.D. 25/26/2013 Pharmacoeconomics • applies the economic principles and methods to the field of pharmaceuticals and pharmaceutical policy • assess the overall value of health technologies – pharmaceutical products, services and programs – identifies, measures and compares costs and consequences • provides valuable information to health care decision makers for allocation of scarce resources •• pharmaconpharmacon + economics+ economics (= remedy) (= the science of scarcity and choice) • Which drug / technology has the highest therapeutic benefit by using accessible resources? 35/26/2013 Basic principles I • limited resources x growing value of modern medicine • cooperation of: – physicians – economists – statisticians – pharmacists allocation of resources = satisfaction of needs of all patients on acceptable quality level HEALTH GAP costs time new technologies available resources 45/26/2013 Basic principles II Healthcare payer (insurance company) - therapy outcomes - reimbursement Society - all above + productivity loss Institution / healthcare provider - therapy outcomes - profitability Patient - health - quality of life - co-payments - satisfaction with treatment PERSPECTIVE 55/26/2013 Main parameters in PE Parameter Example Synonym costs / resources the reimbursement of drug, service, manpower, loss of earnings outcomes clinical uricaemia, BP, bout of depression, mortality Effect, efficacy, effectiveness economic reduction in GDP, loss of wages Benefit social social function, quality of life, utility Utility 65/26/2013 Cost categorization Direct medical costs drugs, lab tests, hospitalizations Direct non-medical costs transport Indirect costs lost or reduced productivity Intangible costs pain and suffering impact on family home life, work, etc. 75/26/2013 Direct medical costs • related to treatment • reimbursed by insurance company category specification example pharmaceutical costs cost of drugs, treatment reimbursement of drug tests of safety and effectiveness kinetic – TDM biochemistry, physical, haematology treatment of adverse events ordinary only if occurred other costs hospitalization bed-days diagnostics biochemistry, physical, microbiological transport ambulance manpower (staff) wages of health workers 85/26/2013 Indirect costs • experienced by the patient or society • inconvenience of the patient in society • loss of earnings and productivity because of illness or death • difficult to measure • paid by: – patient (lost earnings) – employer or society (lost productivity) 95/26/2013 Measurement of productivity loss • Human-capital approach – value of human capital as individual's future contribution to production (or earnings) in full health • Friction-cost approach – value of human capital until replaced by another worker 105/26/2013 Intangible costs • pain, worry or other distress that patients or their family suffer • impossible to measure in monetary terms • not considered in economic evaluations (usually) • might be reported alongside the cost results Outcomes identification and quantification of effectiveness 125/26/2013 Identification and measurement of outcomes • the crucial moment of assessment • outcomes / benefits might be measured in: – natural units • life-years saved, strokes prevented, ulcers healed, … – utility units • the quality-adjusted life year (QALY) – economic benefit (money) • the economic benefits of an employee returning to work after illness; money saved due to preventive program • depends on perspective of analysis, availability and product indication 135/26/2013 Outcomes quantification Outcomes in economic evaluations – efficacy – effectiveness – utility – efficiency – willingness to pay 145/26/2013 Outcomes quantification • efficacy – clinical effect under defined conditions (in clinical trials, RCT) • effectiveness – clinical effect under real conditions (in real world clinical practice) • utility – health state preferred by individuals = quality of life • willingness to pay – life is valued according to what individuals are willing to pay for change that reduces the probability of death or illness = social preferences How individuals value life and health? – influenced by ability to pay (high-paid x low-paid workers, favours the rich over the poor) • efficiency = cost-effectiveness – measures how well resources are used in order to achieve a desired output Pharmacoeconomic analyses 165/26/2013 Stages of PE analysis 1) epidemiology 2) new treatment advantages 3) hypothesis assignment, definition of research issue 4) study design and realization 5) utilization in practice 175/26/2013 ad 1) epidemiology • incidence and prevalence • population of patients: age, therapy reaction, symptoms relevance, illness stages • treatment methods • cost of illness - medical and social • impact of current therapy on the cost of illness 185/26/2013 ad 2) new treatment advantages • better short-term efficacy • better long-term efficacy • lowering patient monitoring need • better safety profile of the new medicine, less adverse effects, less drug interactions • better compliance (e.g. application once daily) • more convenient application 195/26/2013 ad 3) decision analysis 1. Perspective: patient insurance company societal 2. Sort of costs and outcomes: direct medical indirect intangible 3. Time horizon natural units utility units monetary values 205/26/2013 ad 4) study design and realization Types of PE analyses: • Cost-minimization analysis (CMA) • Cost-benefit analysis (CBA) • Cost-effectiveness analysis (CEA) • Cost-utility analysis (CUA) 215/26/2013 Cost-minimization analysis (CMA) • the simplest form of economic evaluation • outcomes of 2 healthcare technologies are assumed to be equivalent • basis of comparison are costs alone • classic example: – comparison of 2 generic drugs morbidity technology 1 technology 2 G- infection III.gen. CEF i.m., i.v. III.gen. CEF p.o. hypertension sartans ACEI Borrelia meningitis cefotaxim 3times daily ceftriaxon once daily 225/26/2013 Cost-benefit analysis (CBA) • costs and benefits are measured in monetary units • used for – evaluation of therapies with outcomes difficult to measure with conventional tool – decision making in health policy • therapeutic outcomes must be complex (e.g. vaccination) – benefit for patient or society •• How much can be saved by rapid recovery?How much can be saved by rapid recovery? •• Is the alternative costIs the alternative cost--beneficial?beneficial? 235/26/2013 Cost-benefit analysis (CBA) • Study results: – BENEFIT / COST RATIO: – NET BENEFIT CALCULATION: • positive x negative R = benefits costs N = benefits - costs the comparison of different healthcare interventions, irrespective of the disease discounting is essential if perspective is longer than 1 year! 245/26/2013 Cost-benefit analysis (CBA) cost benefit 1 2 3 4 5 6 7 Example: Does it worth to vaccinate? Is treatment of disease cheaper? years 255/26/2013 Cost-benefit analysis (CBA) benefits - costs Σ benefit Σ cost =) net benefit is positive =) intervention is COST-BENEFICIAL • costs per 10 years: 80 mil. CZK • outcomes per 10 y.: 480 mil. CZK 480 – 80 = 400 mil. CZK • discounting 5%: (480 – 80) / 1,0510 = 246 mil CZK 265/26/2013 Cost-effectiveness analysis (CEA) • outcomes measured in natural units – e.g. complex units: life years gained – partial units: re-infections, blood pressure, cholesterol levels =) searching a drug which has the best impact on disease history at a reasonable price =) cost per clinical unit =) cost per events avoided =) cost per symptom-free days 275/26/2013 Cost-effectiveness plane Difference in effects Difference in costs I The new treatment is more effective and more expensive II The new treatment is more effective and less expensive III The new treatment is less effective and less expensive IV The new treatment is less effective and more expensive 4 possible quantitative results in a cost effectiveness analysis REJECT ACCEPT Cost-effective? ANALYSE! Questionable… ANALYSE? 285/26/2013 Cost-effectiveness ratio (CER) • Complex changes of effectiveness: – life years gained 10 7 10 5 0 5 10 drug A drug B costs (x100 000) life years Cost-effectiveness ratio (CER): CA / EA ? CB / EB 1 000 000 / 10 ? 700 000 / 5 100 000 CZK / year <<<< 140 000 CZK / year CER = Cost of intervention Therapeutic effect 295/26/2013 No difference in CER? 10 7 10 7 0 5 10 drug A drug B costs (x100 000) life-years CA / EA ? CB / EB 1 000 000 / 10 ? 700 000 / 7 100 000 CZK / year = 100 000 CZK / year CER reflects cost per unit independently of other treatment options 305/26/2013 Incremental cost-effectiveness analysis • incremental cost per unit of effectiveness = cost per unit by switching from one treatment option to an alternative treatment option – the extra cost per unit gained Incremental Cost-Effectiveness Ratio: 315/26/2013 ICER 7 10 7 10 0 5 10 drug A drug B costs (x100 000) life-years gained ICER = ICER = 100 000 CZK / LYG ICER = ICER = 60 000 CZK / LYG 1 000 000 – 700 000 1 000 000 – 700 000 10 – 7 10 – 5 10 7 10 5 0 5 10 drug A drug B costs (x100 000) life years 325/26/2013 Cost-utility analysis (CUA) • utility = preference of health state determined by patient or general public CUA • the impact of treatment on factors of greatest importance to the patient – pain, mobility, social performance,… – PROs – patient-reported outcomes • measures effects on morbidity (quality of life) and mortality (quantity of life) = QALY (Quality Adjusted Life Year) • enables the comparison of different healthcare interventions, irrespective of the disease 335/26/2013 QALY calculation • QALY – length of life x quality of life • utility = 1 -) perfect health • utility = 0 -) death • utility < 0 -) worse than death 1 year of perfect health (100%) 1 QALY 2 years 50% perfect health 1 QALY 2 years 100 % perfect health 2 QALY 2 years 25% perfect health 0,5 QALY treatment of patient with 50% perfect health becoming to 75% 0,25 QALY gained treatment of 4 patients with 50% perfect health becoming to 75% 1 QALY gained 345/26/2013 Cost-utility analysis (CUA) costs (CZK) estimated survival utility QALY drug A 20 000 4,5 years 0,60 2,7 drug B 10 000 3,5 years 0,72 2,5 Example: Cost-effectiveness incremental ratio: Pe = (20000-10000) / (4,5-3,5) = 10 000 CZK / 1 LYG Cost-utility incremental ratio : Pu = (20000-10000) / (2,7-2,5) = 50 000 CZK / 1 QALY 355/26/2013 QALY x LYG QALY • chronic diseases – slow progression (RA) – uncomfortable symptomatology (GERD) – impact on work and mental potential (schizophrenia) – with exacerbations (asthma) • elimination of adverse effects – vomiting after chemotherapy LYG • progressive diseases – high mortality – poor prognosis – serious complications • asymptomatic disease with serious consequences – dyslipidaemia 365/26/2013 Use of CUA: • simple method for reimbursement of different technologies • no reflection of individual preferences – length of life x quality of life? 375/26/2013 ad 5) utilization in practice • decision making in national health policy – drug registration, price settings and reimbursement • decision making in health services (hospitals) – inclusion to positive lists • clinical guidelines • patient satisfaction 385/26/2013 Impact of new drug on the market: •• Budget impact analysis (BIA)Budget impact analysis (BIA) Quality of life measurement WHO 5 QoL EQ-5D FACT-C 405/26/2013 Quality of life questionnaires • specific - disease specific questionnaires – Functional Assessment of Cancer Therapy (FACT), Asthma TyPE questionnaire, Arthritis Impact Measurement Scale (AIMS), Multiple Sclerosis Quality of Life Inventory (MSQLI), Beck Depression Inventory (BDI) • generic (general) – quality of life questions, questions on social emotional and physical functioning, pain, self- care – EuroQoL (EQ-5D), Nottingham Health Profile, Short Form 36 (SF36), Sickness Impact Profile Methods to asses quality and quantity of life – QALY (Quality Adjusted Life Year) – DALY (Disability Adjusted Life Year – WHO) – HYE (Health Year Equivalent) 415/26/2013 The EQ-5D descriptive system • comprises 5 dimensions of health: – mobility – self-care – usual activities – pain/discomfort – anxiety/depression • each dimension comprises 3 levels: – no problems – some/moderate problems – extreme problems • a unique EQ-5D health state is defined by combining 1 level from each of the 5 dimensions 425/26/2013 By placing a tick in one box in each group below, please indicate which statements best describe your own health today: Mobility I have no problems in walking about I have some problems in walking about I am confined to bed Self-Care I have no problems with self-care I have some problems washing or dressing myself I am unable to wash or dress myself Usual Activities (e.g. work, housework, family or leisure activities) I have no problems with performing my usual activities I have some problems with performing my usual activities I am unable to perform my usual activities Pain / Discomfort I have no pain or discomfort I have moderate pain or discomfort I have extreme pain or discomfort Anxiety / Depression I am not anxious or depressed I am moderately anxious or depressed I am extremely anxious or depressed 435/26/2013 EQ-5D • a total of 243 possible health states is defined in this way • each state is referred to in terms of a 5 digit code. – 11111 indicates no problems on any of the 5 dimensions – 11223 indicates no problems with mobility and selfcare, some problems with performing usual activities, moderate pain or discomfort and extreme anxiety or depression. 445/26/2013 0 10 20 30 40 50 60 70 80 90 100 „To help people say how good or bad a health state is, we have drawn a scale (rather like a thermometer) on which the best state you can imagine is marked 100 and the worst state you can imagine is marked 0. We would like you to indicate on this scale how good or bad your health state is today, in your opinion. Please do this by drawing a line from the box below to whatever point on the scale indicates how good or bad your health state is today.“ You own health state today The EQ VAS records the respondents self-rated health status on a vertical graduated (0-100) visual analogue scale 455/26/2013 FACIT • FACIT = Functional Assessment of Chronic Illness Therapy • FACT-G: Functional Assessment of Cancer Therapy – General – constitutes the core of all subscales; the FACT-G can be used with patients of any tumor type • FACT-C: For patients with Colorectal cancer www.facit.org Pharmacoeconomics in the Czech Republic and in the world 475/26/2013 Pharmacoeconomic evaluation in the world Australia, New Zealand Required for new drugs since 1993 Canada (BC, Ont.) Required for new drugs since 1995/6 Denmark Might be required or optional since 1997 France Might be required since 1997 Finland Required for new drugs since 1998 Italy Might be required since 1998 UK Authority of NICE since 1999 Sweden, Norway Required for new drugs since 2002 Netherlands Required for new drugs since 2003 Germany Cost-benefit analysis since 2007 Czech Republic CEA, BIA since 2008 485/26/2013 Cost-effectiveness thresholds • USA…………………. 67.000 EUR / QALY (93.500 USD/QALY ) • UK (NICE)..………… 38.000 EUR / QALY (30.000 GBP /QALY) • Canada……………… 56.000 EUR / QALY (83.900 USD/QALY) • Australia…………….. 35.000 EUR / QALY (51.000 USD/QALY) • Netherlands...………. 80.000 EUR/QALY • Sweden.…………….. 70.000 EUR/QALY • Czech Republic???? 495/26/2013 T. Doležal; 2009 CR: GDP per capita in 2006 PE society: 346 000 - 1 037 000 Kč / QALY 505/26/2013 Pharmacoeconomics in the Czech Republic www.farmakoekonomika.cz 515/26/2013 Pharmacoeconomics in the Czech Republic 525/26/2013 Pharmacoeconomics in the world www.ispor.org 535/26/2013 Literature: • T. Walley, A. Haycox, A. Boland: Pharmacoeconomics – 2004, CHURCHILL LIVINGSTONE, Elsevier Science Limited, UK • Kolektiv autorů: Základy farmakoekonomiky pro lékaře, lékárníky a další pracovníky ve zdravotnictví – 2007, ČFES Praha • A. Haycox, E. Noble: What is health economics? – www.evidence-based-medicine.co.uk • Zdravotná starostlivosť, náklady, kvalita a výsledky. Výkladový terminologický slovník ISPOR – 2003, ISPOR • J. Vlček, Macek, Mullerová: Farmakoepidemiologie, farmakoekonomika, farmakoinformatika – 1999, UK Praha, Farmaceutická fakulta Hradec Králové • J. Holomáň, V. Foltán, J, Bielik a kol.: Základy farmakoekonomiky – 2004, TISING spol.s.r.o., Nové Mesto nad Váhom, Slovensko