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BACKGROUND: Health economic modelling indicates that referral to a behavioural weight management programme is cost saving and generates QALY gains compared with a brief intervention. The aim of this study was to conduct a cross-model validation comparing outcomes from this cost-effectiveness analysis to those of a comparator model, to understand how differences in model structure contribute to outcomes. METHODS: The outcomes produced by two models, the School for Public Health Research diabetes prevention (SPHR) and Health Checks (HC) models, were compared for three weight-management programme strategies; Weight Watchers (WW) for 12 weeks, WW for 52 weeks, and a brief intervention, and a simulated no intervention scenario. Model inputs were standardised, and iterative adjustments were made to each model to identify drivers of differences in key outcomes. RESULTS: The total QALYs estimated by the HC model were higher in all treatment groups than those estimated by the SPHR model, and there was a large difference in incremental QALYs between the models. SPHR simulated greater QALY gains for 12-week WW and 52-week WW relative to the Brief Intervention. Comparisons across socioeconomic groups found a stronger socioeconomic gradient in the SPHR model. Removing the impact of treatment on HbA1c from the SPHR model, running both models only with the conditions that the models have in common and, to a lesser extent, changing the data used to estimate risk factor trajectories, resulted in more consistent model outcomes. CONCLUSIONS: The key driver of difference between the models was the inclusion of extra evidence-based detail in SPHR on the impacts of treatments on HbA1c. The conclusions were less sensitive to the dataset used to inform the risk factor trajectories. These findings strengthen the original cost-effectiveness analyses of the weight management interventions and provide an increased understanding of what is structurally important in the models.

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Salud Pública , Humanos , Hemoglobina Glucada , Factores de Riesgo , Análisis Costo-Beneficio , Años de Vida Ajustados por Calidad de Vida

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BACKGROUND: Screening for Atrial Fibrillation (AF) is recommended for people aged above 65 years. Screening for AF in asymptomatic individuals can be beneficial by enabling earlier diagnosis and the commencement of interventions to reduce the risk of early events, thus improving patient outcomes. This study systematically reviews the literature about the cost-effectiveness of various screening methods for previously undiagnosed AF. METHODS: Four databases were searched to identify articles that are cost-effectiveness studies conducted on screening for AF published from January 2000 to August 2022. The Consolidated Health Economic Evaluation Reporting Standards 2022 checklist was used to assess the quality of the selected studies. A previously published approach was used to assess the usefulness of each study for health policy makers. RESULTS: The database search yielded 799 results, with 26 articles meeting the inclusion criteria. Articles were categorised into four subgroups: (i) population screening, (ii) opportunistic screening, (iii) targeted, and (iv) mixed methods of screening. Most of the studies screened adults ≥65 years of age. Most studies were performed from a 'health care payer perspective' and almost all studies used 'not screening' as a comparator. Almost all screening methods assessed were found to be cost-effective in comparison to 'not screening'. The reporting quality varied between 58% to 89%. The majority of the studies were found to be of limited usefulness for health policy makers, as none of the studies made any clear statements about policy change or implementation direction. CONCLUSION: All approaches of AF screening were found to be cost-effective compared with no screening, while opportunistic screening was found to be the optimal approach in some studies. However, screening for AF in asymptomatic individuals is context specific and likely to be cost-effective depending on the population screened, screening approach, frequency, and the duration of screening.

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Fibrilación Atrial , Adulto , Humanos , Anciano , Fibrilación Atrial/epidemiología , Análisis Costo-Beneficio , Tamizaje Masivo/métodos , Atención Primaria de Salud/métodos , Años de Vida Ajustados por Calidad de Vida

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The clinical evidence base for evaluating modern type 2 diabetes interventions has expanded greatly in recent years, with numerous efficacious treatment options available (including dipeptidyl peptidase-4 inhibitors, glucagon-like peptide-1 receptor agonists and sodium-glucose cotransporter-2 inhibitors). The cardiovascular safety of these interventions has been assessed individually versus placebo in numerous cardiovascular outcomes trials (CVOTs), statistically powered to detect differences in a composite endpoint of major adverse cardiovascular events. There have been growing calls to incorporate these data in the long-term modelling of type 2 diabetes interventions because current diabetes models were developed prior to the conduct of the CVOTs and therefore rely on risk equations developed in the absence of these data. However, there are numerous challenges and pitfalls to avoid when using data from CVOTs. The primary concerns are around the heterogeneity of the trials, which have different study durations, inclusion criteria, rescue medication protocols and endpoint definitions; this results in significant uncertainty when comparing two or more interventions evaluated in separate CVOTs, as robust adjustment for these differences is difficult. Analyses using CVOT data inappropriately can dilute clear evidence from head-to-head clinical trials, and blur healthcare decision making. Calibration of existing models may represent an approach to incorporating CVOT data into diabetes modelling, but this can only offer a valid comparison of one intervention versus placebo based on a single CVOT. Ideally, model development should utilize patient-level data from CVOTs to prepare novel risk equations that can better model modern therapies for type 2 diabetes.

Asunto(s)

Enfermedades Cardiovasculares , Sistema Cardiovascular , Diabetes Mellitus Tipo 2 , Inhibidores del Cotransportador de Sodio-Glucosa 2 , Humanos , Diabetes Mellitus Tipo 2/complicaciones , Hipoglucemiantes/uso terapéutico , Enfermedades Cardiovasculares/inducido químicamente , Inhibidores del Cotransportador de Sodio-Glucosa 2/uso terapéutico , Receptor del Péptido 1 Similar al Glucagón/agonistas

RESUMEN

AIMS: The goal of this study was to review the economic evaluations of health technologies in multiple myeloma (MM) and provide guidance and recommendations for future health economic analyses. MATERIALS AND METHODS: A systemic literature review (SLR) was conducted on original economic assessment studies and structured review papers focusing on the studies in MM. The search was limited to English language papers published from 1 January 2000 onwards. Publications not applying any type of modelling methodology to describe disease progression and patient pathways over a specific time horizon were excluded. RESULTS: A total of 2,643 publications were initially identified, of which 148 were eligible to be included in the full-text review phase. From these, 49 publications were included in the final analysis. Most published health economic analyses supported by models came from high-income countries. Evaluations from middle-income countries were rarely published. Diagnostic technologies were rarely modelled and integrated care had not been modelled. Very few models investigated MM treatments from a societal perspective and there was a relative lack of evaluations regarding minimal residual disease (MRD). LIMITATIONS: Limitations of the publications included differences between trial populations and modelled populations, justification of methods, lack of confounder analyses, and small trial populations. Limitations of our study included the infeasibility of comparing MM economic evaluations due to the significant variance in modelled therapeutic lines and indications, and the relative scarcity of published economic evaluations from non-high-income countries. CONCLUSIONS: As published economic models lacked many of the elements of the complex and heterogeneous patient pathways in MM and they focused on single decision problems, a thorough, open-source economic whole disease modelling framework is needed to assess the economic value of a wide range of technologies across countries with various income levels with a more detailed view on MM, by including patient-centric and societal aspects.

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Mieloma Múltiple , Humanos , Mieloma Múltiple/terapia , Modelos Económicos , Análisis Costo-Beneficio

RESUMEN

BACKGROUND: Many screening programs for colorectal cancer (CRC) use the fecal immunochemical test (FIT) to triage individuals for colonoscopy. Although these programs reduce CRC incidence and CRC-related mortality, the detection of advanced precursor lesions (advanced adenomas and advanced serrated polyps) by FIT could be improved. As an alternative for FIT, the antibody-based multitargetFIT (mtFIT) has been proposed. The mtFIT measures three protein markers: hemoglobin, calprotectin, and serpin family F member 2. In a retrospective diagnostic accuracy study in a large colonoscopy-controlled series (n = 1284), mtFIT showed increased sensitivity for advanced neoplasia (AN), at equal specificity, compared to FIT (42.9% versus 37.3%; p = 0.025). This increase was mainly due to a higher sensitivity of mtFIT for advanced adenomas (37.8% versus 28.1% for FIT; p = 0.006). The present mtFIT study aims to prospectively validate these findings in the context of the Dutch national CRC screening program. METHOD: The mtFIT study is a cross-sectional intervention study with a paired design. Eligible subjects for the Dutch FIT-based national CRC screening program are invited to perform mtFIT in addition to FIT. Samples are collected at home, from the same bowel movement, and are shipped to a central laboratory by postal mail. If either one or both tests are positive, participants are referred for colonoscopy. Detailed colonoscopy and pathology data are centrally stored in a national screening database (ScreenIT; Topicus, Deventer, the Netherlands) that is managed by the screening organization, and will be retrieved for this study. We aim to determine the relative sensitivity for AN, comprising of CRC, advanced adenomas and advanced serrated polyps, of mtFIT compared to FIT at an equal positivity rate. Additionally, we will use the Adenoma and Serrated Pathway to Colorectal CAncer model to predict lifetime health effects and costs for programmatic mtFIT- versus FIT-based screening. The target sample size is 13,131 participants. DISCUSSION: The outcome of this study will inform on the comparative clinical utility of mtFIT versus FIT in the Dutch national CRC screening program and is an important step forward in the development of a new non-invasive stool test for CRC screening. TRIAL REGISTRATION: Clinicaltrials.gov ; NCT05314309, registered April 6th 2022, first inclusions March 25th 2022 https://clinicaltrials.gov/ct2/results?cond=&term=NCT05314309&cntry=&state=&city=&dist =.

Asunto(s)

Adenoma , Neoplasias Colorrectales , Pólipos , Humanos , Adenoma/diagnóstico , Adenoma/patología , Colonoscopía , Neoplasias Colorrectales/diagnóstico , Neoplasias Colorrectales/patología , Estudios Transversales , Detección Precoz del Cáncer/métodos , Heces/química , Hemoglobinas/análisis , Tamizaje Masivo/métodos , Sangre Oculta , Estudios Retrospectivos

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BACKGROUND: Policies aimed at restricting the marketing of high fat, salt and sugar products have been proposed as one way of improving population diet and reducing obesity. In 2019, Transport for London implemented advertising restrictions on high fat, salt and sugar products. A controlled interrupted time-series analysis comparing London with a north of England control, suggested that the advertising restrictions had resulted in a reduction in household energy purchases. The aim of the study presented here was to estimate the health benefits, cost savings and equity impacts of the Transport for London policy using a health economic modelling approach, from an English National Health Service and personal social services perspective. METHODS: A diabetes prevention microsimulation model was modified to incorporate the London population and Transport for London advertising intervention. Conversion of calorie to body mass index reduction was mediated through an approximation of a mathematical model estimating weight loss. Outcomes gathered included incremental obesity, long-term diabetes and cardiovascular disease events, quality-adjusted life years, healthcare costs saved and net monetary benefit. Slope index of inequality was calculated for proportion of people with obesity across socioeconomic groups to assess equity impacts. RESULTS: The results show that the Transport for London policy was estimated to have resulted in 94,867 (4.8%) fewer individuals with obesity, and to reduce incidence of diabetes and cardiovascular disease by 2,857 and 1,915 cases respectively within three years post intervention. The policy would produce an estimated 16,394 additional quality-adjusted life-years and save £218 m in NHS and social care costs over the lifetime of the current population. Greater benefits (e.g. a 37% higher gain in quality-adjusted life-years) were expected to accrue to individuals from the most socioeconomically deprived groups compared to the least deprived. CONCLUSIONS: This analysis suggests that there are considerable potential health and economic gains from restricting the advertisement of high fat, salt and sugar products. The population health and economic impacts of the Transport for London advertising restrictions are likely to have reduced health inequalities in London.

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Publicidad , Enfermedades Cardiovasculares , Enfermedades Cardiovasculares/prevención & control , Análisis Costo-Beneficio , Humanos , Londres , Obesidad/epidemiología , Obesidad/prevención & control , Cloruro de Sodio Dietético , Medicina Estatal , Azúcares

RESUMEN

BACKGROUND: There is a need to develop cost-effective weight loss maintenance interventions to prolong the positive impact of weight loss on health outcomes. Conducting pre-trial health economic modelling is recommended to inform the design and development of behavioural interventions. We aimed to use health economic modelling to estimate the maximum cost per-person (justifiable cost) of a cost-effective behavioural weight loss maintenance intervention, given an estimated intervention effect for individuals with: i) a Body Mass Index (BMI) of 28 kg/m2 or above without diabetes and ii) a diagnosis of type 2 diabetes prescribed a single non-insulin diabetes medication. METHODS: The School for Public Health Research Diabetes prevention model was used to estimate the lifetime Quality-adjusted life year (QALY) gains, healthcare costs, and maximum justifiable cost associated with a weight loss maintenance intervention. Based on a meta-analysis, the estimated effect of a weight loss maintenance intervention following a 9 kg weight loss, was a regain of 1.33 kg and 4.38 kg in years one and two respectively compared to greater regain of 2.84 kg and 5.6 kg in the control group. Sensitivity analysis was conducted around the rate of regain, duration of effect and initial weight loss. RESULTS: The justifiable cost for a weight loss maintenance intervention at an ICER of £20,000 per QALY was £104.64 for an individual with a BMI of 28 or over and £88.14 for an individual with type 2 diabetes. Within sensitivity analysis, this varied from £36.42 to £203.77 for the former, and between £29.98 and £173.05 for the latter. CONCLUSIONS: Researchers developing a weight loss maintenance intervention should consider these maximum justifiable cost estimates and the potential impact of the duration of effect and initial weight loss when designing intervention content and deciding target populations. Future research should consider using the methods demonstrated in this study to use health economic modelling to inform the design and budgetary decisions in the development of a behavioural interventions.

Asunto(s)

Diabetes Mellitus Tipo 2 , Terapia Conductista/métodos , Análisis Costo-Beneficio , Diabetes Mellitus Tipo 2/prevención & control , Humanos , Obesidad/prevención & control , Años de Vida Ajustados por Calidad de Vida , Reino Unido , Pérdida de Peso

RESUMEN

OBJECTIVE: We aimed to identify the most cost-effective of all prophylactic measures available in Switzerland for women not yet affected by breast and ovarian cancer who tested positive for a BRCA1/2 mutation. METHODS: Prophylactic bilateral mastectomy (PBM), salpingo-oophorectomy (PBSO), combined PBM&PBSO and chemoprevention (CP) initiated at age 40 years were compared with intensified surveillance (IS). A Markov model with a life-long time horizon was developed from the perspective of the Swiss healthcare system using mainly literature-derived data to evaluate costs, quality-adjusted life years (QALYs) and survival. Costs and QALYs were discounted by 3% per year. Robustness of the results was tested with deterministic and probabilistic sensitivity analyses. RESULTS: All prophylactic measures were found to be cost-saving with an increase in QALYs and life years (LYs) compared to IS. PBM&PBSO were found to be most cost-effective and dominated all other strategies in women with a BRCA1 or BRCA2 mutation. Lifetime costs averaged to 141,293 EUR and 14.5 QALYs per woman with a BRCA1 mutation under IS, versus 76,639 EUR and 19.2 QALYs for PBM&PBSO. Corresponding results for IS per woman with a BRCA2 mutation were 102,245 EUR and 15.5 QALYs, versus 60,770 EUR and 19.9 QALYs for PBM&PBSO. The results were found to be robust in sensitivity analysis; no change in the dominant strategy for either BRCA-mutation was observed. CONCLUSION: All more invasive strategies were found to increase life expectancy and quality of life of women with a BRCA1 or BRCA2 mutation and were cost-saving for the Swiss healthcare system compared to IS.

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Neoplasias de la Mama , Neoplasias Ováricas , Adulto , Neoplasias de la Mama/genética , Neoplasias de la Mama/prevención & control , Análisis Costo-Beneficio , Femenino , Genes BRCA1 , Genes BRCA2 , Heterocigoto , Humanos , Mastectomía , Mutación , Neoplasias Ováricas/genética , Neoplasias Ováricas/prevención & control , Calidad de Vida , Suiza

RESUMEN

OBJECTIVE: To evaluate the economic burden associated with therapeutic inertia in patients with type 2 diabetes mellitus (T2D) in Denmark. METHODS: The economic burden for a newly diagnosed Danish T2D population was estimated using a validated diabetes model (The Swedish Institute for Health Economics (IHE) Cohort model), based on achieving varying levels of glycemic control. The analyses were based on clinical data from the Danish Centre for Strategic Research (DD2) and supplemented with relevant Swedish data where variables were missing. The analysis estimated the economic burden for populations achieving different guideline-recommended targets for glycated hemoglobin (HbA1c) and for a number of therapeutic inertia scenarios. To estimate the population-level burden Danish specific epidemiology data were incorporated. All costs are reported in 2020 Danish kroner (DKK) and 2020 Euros (€). RESULTS: The baseline HbA1c level used for this analysis was 7.9% (63 mmol/mol), which was observed in newly diagnosed Danish T2D patients prior to their first anti-diabetic treatment. Therapeutic inertia was associated with substantial economic burden compared to achieving immediate glycemic control (target < 6.5% (< 48 mmol/mol)). Per patient burdens were between 3562 DKK and 20,160 DKK (€477- €2701) dependent on the duration of therapeutic inertia (1-7 years), with this further increased when indirect costs were included (9649 DKK to 51,585 DKK [€1393-€6912]). The economic burden at a population level was between 27 million DKK to 150 million DKK (€3.6 million to €20 million), dependent on the duration of therapeutic inertia, rising to 72 million DKK to 384 million DKK (€9.6 million to €51.4 million) when indirect costs were included. CONCLUSION: Achieving early and intensive glycemic control, thereby minimizing therapeutic inertia can lead to substantial savings for the Danish society, ranging between 72 million DKK and 384 million DKK (€9.6 million to €51.4 million) (1-7 years of therapeutic inertia). This study highlights that efforts to minimize therapeutic inertia, by securing timely intensification before individual HbA1c targets are exceeded, results in significant long-term cost savings in Denmark.

Asunto(s)

Diabetes Mellitus Tipo 2 , Costo de Enfermedad , Dinamarca/epidemiología , Diabetes Mellitus Tipo 2/tratamiento farmacológico , Diabetes Mellitus Tipo 2/epidemiología , Hemoglobina Glucada/análisis , Control Glucémico , Humanos

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Grutters et al recently investigated the role of early health economic modelling of health technologies by undertaking a secondary analysis of health economic modelling assessments performed by their group. Our commentary offers a broad perspective on the potential utility of early health economic modelling to inform health technology assessment (HTA) and decision-making around reimbursement of new health technologies. Further we provide several examples to compliment Grutters and colleagues' observations.

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Modelos Económicos , Evaluación de la Tecnología Biomédica , Tecnología Biomédica , Análisis Costo-Beneficio , Humanos

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Health economics is a discipline of economics applied to health care. One method used in health economics is decision tree modelling, which extrapolates the cost and effectiveness of competing interventions over time. Such decision tree models are the basis of reimbursement decisions in countries using health technology assessment for decision making. In many instances, these competing interventions are diagnostic technologies. Despite a wealth of excellent resources describing the decision analysis of diagnostics, two critical errors persist: not including diagnostic test accuracy in the structure of decision trees and treating sequential diagnostics as independent. These errors have consequences for the accuracy of model results, and thereby impact on decision making. This paper sets out to overcome these errors using color to link fundamental epidemiological calculations to decision tree models in a visually and intuitively appealing pictorial format. The paper is a must-read for modelers developing decision trees in the area of diagnostics for the first time and decision makers reviewing diagnostic reimbursement models.

RESUMEN

BACKGROUND: This study aims to report on the design of a model to determine the cost-effectiveness of prevention and treatment of early psychosis (PsyMod) and to estimate ten-year cost-effectiveness and budget impact of interventions targeting individuals with ultra-high risk (UHR) of developing psychosis or with first episode psychosis (FEP). METHODS: PsyMod was built in parallel with the development of a new standard of care for treatment of early psychosis in the Netherlands. PsyMod is a state-transition cohort simulation model and considers six health states, namely ultra-high risk of psychosis (UHR), FEP, post-FEP, no-UHR, recovery/remission, and death. Results are expressed as total healthcare costs, QALYs, incremental cost-effectiveness ratio (ICER), and budget impact. RESULTS: PsyMod was used to extrapolate budget impact and cost-effectiveness of cognitive behavioural therapy for preventing FEP for individuals at UHR of psychosis (CBTuhr) compared to care as usual. CBTuhr resulted in a per-patient increase of 0.06 QALYs and a per patient cost reduction of €654 (dominant ICER) with a reduction in 5-year healthcare costs of €1,002,166. CONCLUSIONS: PsyMod can be used to examine cost-effectiveness and budget impact of interventions targeting prevention and treatment of FEP and is freely available for academic purposes upon request by the authors.

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Terapia Cognitivo-Conductual/métodos , Costos de la Atención en Salud/estadística & datos numéricos , Modelos Económicos , Trastornos Psicóticos/terapia , Presupuestos , Terapia Cognitivo-Conductual/economía , Estudios de Cohortes , Simulación por Computador , Análisis Costo-Beneficio , Humanos , Cadenas de Markov , Países Bajos , Trastornos Psicóticos/economía , Trastornos Psicóticos/prevención & control , Años de Vida Ajustados por Calidad de Vida , Riesgo

RESUMEN

Arguably, the most common structure currently adopted for oncology modelling is the three-state partitioned survival model with the following states: stable disease, post-progression and dead. This design can, therefore, be adopted to capture the progressive nature of cancer. This chapter outlines the three-state model approach as well as introducing several other key aspects of economic modelling in oncology.

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Modelos Económicos , Neoplasias/economía , Neoplasias/terapia , Análisis Costo-Beneficio , Progresión de la Enfermedad , Humanos

RESUMEN

Aims: Atrial fibrillation (AF) is the most common arrhythmia and prevalence increases with age. Patients with AF have a high risk of stroke, and screening for AF is recommended in all people aged 65 years or older to identify patients eligible for stroke prevention. A handheld, single-lead electrocardiogram (ECG) device can be used for systematic screening in the population at risk. The objective of this study is to estimate the cost-effectiveness of screening for AF in primary care with the MyDiagnostick® during seasonal influenza vaccination in the Netherlands. Methods and results: Lifetime costs and effects of a single screening session for AF detection were assessed from a societal perspective with a decision analytic model consisting of a straightforward decision tree and a joining Markov model. The decision model simulated all patients aged 65 years and over attending the seasonal influenza vaccination in the Netherlands. Event probabilities were derived from clinical trials. Sensitivity analyses were performed to assess the impact of important model assumptions as well as determining the relative effect of individual parameters. Screening for AF with the MyDiagnostick® in all patients older than 65 years that attend seasonal influenza vaccination in the Netherlands would decrease the overall costs by €764 and increase the quality-adjusted life-years (QALYs) by 0.27 years per patient. Early detection of AF would prevent strokes and leads to beneficial health effects with subsequent cost savings. This screening method would have an estimated probability of 99.8% for being cost-effective at a conservative willingness-to-pay of €20 000/QALY. Conclusion: Screening for AF in primary care with a handheld, single-lead ECG during seasonal influenza vaccination is very likely to be cost saving for identifying new cases of AF in the Dutch population aged 65 years and over. Active screening for AF with a single-lead, handheld ECG device during seasonal influenza vaccination could be implemented in primary care.

Asunto(s)

Fibrilación Atrial/diagnóstico , Fibrilación Atrial/economía , Electrocardiografía/economía , Costos de la Atención en Salud , Tamizaje Masivo/economía , Pruebas en el Punto de Atención/economía , Atención Primaria de Salud/economía , Anciano , Fibrilación Atrial/epidemiología , Fibrilación Atrial/terapia , Toma de Decisiones Clínicas , Simulación por Computador , Ahorro de Costo , Análisis Costo-Beneficio , Técnicas de Apoyo para la Decisión , Árboles de Decisión , Electrocardiografía/instrumentación , Femenino , Humanos , Vacunas contra la Influenza/administración & dosificación , Masculino , Cadenas de Markov , Tamizaje Masivo/instrumentación , Modelos Económicos , Países Bajos/epidemiología , Valor Predictivo de las Pruebas , Años de Vida Ajustados por Calidad de Vida , Reproducibilidad de los Resultados , Accidente Cerebrovascular/economía , Accidente Cerebrovascular/epidemiología , Accidente Cerebrovascular/prevención & control , Vacunación

RESUMEN

BACKGROUND: Decision-analytic modelling (DAM) has become a widespread method in health technology assessments (HTA), but the extent to which modelling is used differs among international HTA institutions. In Germany, the use of DAM is optional within HTAs of the German Institute of Medical Documentation and Information (DIMDI). Our study examines the use of DAM in DIMDI HTA reports and its effect on the quality of information provided for health policies. METHODS: A review of all DIMDI HTA reports (from 1998 to September 2012) incorporating an economic assessment was performed. All included reports were divided into two groups: HTAs with DAM and HTAs without DAM. In both groups, reports were categorized according to the quality of information provided for healthcare decision making. RESULTS: Of the sample of 107 DIMDI HTA reports, 17 (15.9%) used DAM for economic assessment. In the group without DAM, conclusions were limited by the quality of economic information in 51.1% of the reports, whereas we did not find limited conclusions in the group with DAM. Furthermore, 24 reports without DAM (26.7%) stated that using DAM would likely improve the quality of information of the economic assessment. CONCLUSION: The use of DAM techniques can improve the quality of HTAs in Germany. When, after a systematic review of existing literature within a HTA, it is clear that DAM is likely to positively affect the quality of the economic assessment DAM should be used.