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A critical review of published economic modelling studies in depression.

Depression is a very costly chronic disease. An important cost driver is treatment failure caused by patient noncompliance due, in part, to the adverse effects of medications. Additionally, inadequate duration of therapy and inappropriate medication switching contribute to the high cost of treatment. With the epidemiological data for depression demonstrating a rise in both incidence and prevalence over the last 20 years, and the fact that many of the newer antidepressants will see patent expiry in the near future, previous antidepressant cost-effectiveness scenarios are likely to change. As economic models play an increasingly important role in therapeutic decision-making, clinicians are encouraged to understand the strategies and methods involved in modelling antidepressant therapy. The aim of this review of the literature and synthesis of the various techniques important to the modelling of antidepressant therapies is for the practitioner to gain an increased understanding of the modelling methods previously utilised and be in a position to better evaluate future health economic models for the treatment of depression.

Antidepressive Agents↗

The use of economic modeling to determine the hospital costs associated with nosocomial infections.

Hospital-associated infection is well recognized as a patient safety concern requiring preventive interventions. However, hospitals are closely monitoring expenditures and need accurate estimates of potential cost savings from such prevention programs. We used a retrospective cohort design and economic modeling to determine the excess cost from the hospital perspective for hospital-associated infection in a random sample of adult medical patients. Study patients were classified as being not infected (n=139), having suspected infection (n=8), or having confirmed infection (n=17). Severity of illness and intensive unit care use were both independently associated with increased cost. After controlling for these confounding effects, we found an excess cost of $6767 for suspected infection and $15,275 for confirmed hospital-acquired infection. The economic model explained 56% of the total variability in cost among patients. Hospitals can use these data when evaluating potential cost savings from effective infection-control measures.

Adult↗

An economic model of the long-term health care burden of Type II diabetes.

AIMS/HYPOTHESIS: To develop a long-term economic model of health care for Type II diabetes initially for the United Kingdom; characterize experiences of diabetes-related morbidities and the use of health care resources among a typical Type II diabetes cohort; to estimate lifetime differences in expected health outcomes and costs attributable to Type II diabetes; and to facilitate evaluation of policies or interventions in treating Type II diabetes from the funder's perspective. METHODS: A compact spreadsheet structure of interconnected Markov chain modules was developed to facilitate rapid estimation of costs and outcomes for whole populations. Recent clinical findings from the United Kingdom Prospective Diabetes Study and other sources were incorporated and a detailed costing module developed from United Kingdom observational data. RESULTS: The model allows the assessment of costs and long-term complications experienced by people suffering from Type II diabetes, including direct health care costs associated with the main diabetic complications and second-order effects on other health services required by such patients. Initial results suggest that the lifetime cost of health care for patients from the diagnosis of diabetes is more than double that for an equivalent non-diabetic population. CONCLUSION/INTERPRETATION: The model is intended for use by health care policy makers and payers to assess the long-term budgetary impact of trends in a variety of demographic and epidemiological factors on future services, and is also useful to physicians when considering the impact of new treatment strategies or programmes to modify risk factors for diabetic complications.

Adult↗

Analytic choices in economic models of treatments for rheumatoid arthritis: What makes a difference?

OBJECTIVES: To compare the analytic judgments, data, and assumptions of different models used in the economic evaluation of infliximab, one of a new class of drugs for rheumatoid arthritis (RA). METHODS: A detailed assessment was made of 4 models, 1 submitted (in a reimbursement dossier) by the manufacturer, 1 produced by an independent academic group, and 2 recently published in the literature. Factors considered included the key data inputs, assumptions about the sequencing of treatments for RA, the methods used to calculate health utilities, and the estimation of cost offsets. RESULTS: Two of the 4 models, although embodying different methodological approaches, gave fairly similar results (approximately 25,000 pounds- 35,000 pounds cost per additional quality-adjusted life year [QALY] gained). The other 2 models, both by an independent academic group, gave much higher estimates, ranging from 50,000 pounds to 60,000 pounds to more than 100,000 pounds per additional QALY. The differences appeared to depend mainly on differences in model structure, the assumptions about the positioning of infliximab in the treatment sequence, and the relationship between Health Assessment Questionnaire (HAQ) states and QALYs. CONCLUSIONS: Economic models of treatments for RA incorporate different key data inputs and analytic judgments. However, convergence was observed in some of the estimates produced by the models, particularly when adjustments were made for some of the differences in input parameters. Nevertheless, differences in the choice of model structure and in key assumptions also had a major impact on results. Therefore, more discussion is needed to reach a consensus on some of these methodological issues.

Antibodies, Monoclonal↗

Economic model of sustained-release bupropion hydrochloride in health plan and work site smoking-cessation programs.

The development and application of an economic model designed to assess the specific costs and benefits of health plan coverage of smoking-cessation programs involving sustained-release bupropion hydrochloride are described. A cohort of 100,000 employees or health plan members and 60,000 adult dependents was followed from the start of the model to either retirement at age 65 or death at age 85. The model was used to compare outcomes for coverage versus no coverage of sustained-release bupropion hydrochloride as a component of a smoking-cessation benefit under four managed care plan scenarios and four employer scenarios. For the managed care scenarios involving coverage of bupropion sustained-release the overall decrease in health care costs over a 20-year period ranged from $7.9 million to $8.8 million; for every dollar spent covering smoking cessation, $4.10-$4.69 in health care costs was saved. For the employer scenarios, health care costs over 20 years decreased by $8.3 million to $14.0 million, and smoking-related indirect costs decreased an additional $5.1 million to $7.7 million; for every dollar spent covering smoking cessation, $5.04-$6.48 was saved. A model developed to assess the specific costs and benefits of covering sustained release bupropion hydrochloride as a component of a smoking-cessation benefit indicated cost savings for health plans and employers.

Adult↗

Cost-Effectiveness of Electronic Patient-Reported Outcome Measure Interventions in Cancer: Systematic Review and Parameter Extraction for Economic Modeling.

BACKGROUND: Complex digital interventions that integrate electronic patient-reported outcome measures (ePROM) into clinical practice in cancer have the potential to improve quality of life, increase survival, and reduce health resource use and costs. Such systems can help patients with cancer self-manage chemotherapy symptoms, reduce clinicians' workloads through automated decision support, and resolve problems earlier. However, more research on the cost-effectiveness of ePROM monitoring is needed. OBJECTIVE: This paper comprises two complementary components: (1) a systematic literature review summarizing and evaluating the quantitative and qualitative evidence related to the cost-effectiveness of ePROM monitoring and (2) a health economic model parameter extraction. We also conducted supplementary targeted searches and scoping to provide context to our findings. METHODS: We searched Ovid (including MEDLINE and Embase), Scopus, and the International Health Technology Assessment Database for original English-language papers published on or before March 2025 using search strings that combined terms related to ePROMs, health economics, and cancer/oncology. We included papers reporting health economic-related outcomes for ePROM interventions designed for adult cancer populations and excluded screening tools and conference abstracts. RESULTS: We included 34 publications from 27 unique studies and identified and analyzed 26 ePROM-integrated interventions within these. Most (23/26) of the included interventions explicitly described some form of alert handling and automated decision support based on remote ePROM monitoring. Of the 34 publications, 5 presented full cost-effectiveness analysis results, of which 3 were highly uncertain and lacked clear differences in costs and health outcomes between ePROMs and standard care; conversely, 2 presented strong evidence of cost-effectiveness due to quality-of-life improvements, reduced hospitalizations, and potentially more autonomy in health-related travel (eg, ePROM-monitored patients can drive or walk to the hospital instead of using taxis or ambulances). A further 5 publications reported partial health economic results (eg, cost-consequence and budget impact), of which 1 detected no difference in strategies; in contrast, 4 reported lower health resource use and costs of ePROMs, mainly due to hospitalization reductions. Overall, 12 of the 27 studies included a qualitative component but mostly focused on user experience and design-related themes; only 2 of these addressed economic-specific themes (eg, changes in workflow and resource use due to ePROM implementation and integration), indicating some potential for time saving due to ePROM monitoring. CONCLUSIONS: Some ePROM-integrated interventions demonstrated cost-effectiveness in cancer care, but the evidence base remains limited. Where evidence does exist, cost-effectiveness appears driven by reduced hospitalization and improved quality of life. Qualitative research within the included studies rarely addressed economic questions. We provide a detailed parameter extraction for use in future economic modeling and recommend research priorities, including quantitative mapping of ePROM symptom data onto health resource use patterns, and qualitative work exploring how ePROM implementation affects clinical workloads and patient-perspective costs.

Humans↗

Factors influencing the consumption of alcohol and tobacco: the use and abuse of economic models.

This paper is concerned with the use of economic models in the debate about the role that tax increases and restrictions on advertising should play in reducing the health problems that arise from the consumption of alcohol and tobacco. It is argued that properly specified demand models that take account of all the important factors that influence consumption are required, otherwise inadequate modelling may lead to misleading estimates of the effects of policy changes. The ability of economics to deal with goods such as alcohol and tobacco that have addictive characteristics receives special attention. Recent advances in economic theory, estimation techniques and statistical testing are discussed, as is the problem of identifying policy recommendations from empirical results.

Alcoholism↗

Pressure ulcers: guideline development and economic modelling.

AIM: This paper presents the development process for clinical guidelines on the use of pressure-relieving devices (beds, mattresses and overlays), with emphasis on incorporating economic evidence. BACKGROUND: Previous UK guidelines on the use of pressure-relieving devices to prevent pressure ulcers have not considered whether any recommendations made are cost effective. The routine inclusion of cost effectiveness evidence in guidelines is a recent policy development, and there has been little research into its potential role in the guideline process. METHODS: We systematically reviewed the literature to assess both the clinical and cost effectiveness of pressure-relieving devices for prevention of pressure ulcers. Where there was sufficient evidence on the comparative clinical effectiveness between alternative devices, economic modelling was undertaken to assess comparative cost effectiveness. A guideline development group (comprising both clinicians and patient representatives) reviewed all the available evidence to formulate clinical practice guidelines and recommendations for further research. RESULTS: Studies showed that caring for people vulnerable to developing pressure ulcers on high-specification foam mattresses compared with standard hospital mattresses significantly reduced their risk of developing a pressure ulcer. Cost effectiveness modelling indicated that, because of savings accruing through treating fewer pressure ulcers, high-specification foam mattresses are likely to cost less overall and are more effective. The resulting clinical practice guideline was uncompromising on the use of high-specification foam mattresses as the minimum provision in patients vulnerable to pressure ulcers. Significant weaknesses were identified in both the quality and availability of evidence for most of the other pressure relieving devices considered. CONCLUSIONS: Cost effectiveness assessment was an integral part of the guideline development process. It clarified the shortcomings of some of the clinical effectiveness evidence and helped in formulating pragmatic clinical practice recommendations.

Bedding and Linens↗

E-DIMEM: an economic model to estimate the costs of e-disease management.

In order to estimate the cost of generic clinical guidelines based on telemedicine services for chronic patients, an economic model (E-DIMEM) has been defined. This model is designed to help health suppliers and managers to plan for the future. It is essentially a workflow composed by diagnosis and therapeutic activities. The cost of each workflow activity is related to healthcare providers (activity agents), drugs, instruments, telemedicine services, and type of specialized healthcare centers used (hospital, clinics, etc.). This model performs multidimensional analysis. A web service based on the E-DIMEM has been implemented.

Clinical Protocols↗

An economic model to estimate the relative costs over 20 years of different hip prostheses.

STUDY OBJECTIVE: To determine the relative costs of prostheses and factors associated with changes in these cost rankings. DESIGN AND SETTING: Economic model using published data. MAIN RESULTS: The main cost drivers are current costs and revision rates. Expected revision costs are a small proportion of the expected total costs. There are few competitors to the "gold standard" Charnley in terms of total expected costs over 20 years. There is no monetary advantage in using higher cost prostheses in older patients even if they were to have lower revision rates. There may be a monetary case for using prostheses with higher costs and lower revision rates in younger patients. CONCLUSIONS: The most cost effective prosthesis in older patients is the Stanmore. The Charnley, Exeter Polished and Muller Straight Stem are marginally more costly than the Stanmore. The study inevitably lacks good data on survival for newer prostheses. This does not affect the ability to make choices for older patients. Data are needed, however, on survival of cemented prostheses for younger patients.

Age Factors↗

A health economic model to determine the long-term costs and clinical outcomes of raising low HDL-cholesterol in the prevention of coronary heart disease.

OBJECTIVES: The aim of this study was to describe a health economic model developed to project lifetime clinical and cost outcomes of lipid-modifying interventions in patients not reaching target lipid levels and to assess the validity of the model. METHODS: The internet-based, computer simulation model is made up of two decision analytic sub-models, the first utilizing Monte Carlo simulation, and the second applying Markov modeling techniques. Monte Carlo simulation generates a baseline cohort for long-term simulation by assigning an individual lipid profile to each patient, and applying the treatment effects of interventions under investigation. The Markov model then estimates the long-term clinical (coronary heart disease events, life expectancy, and quality-adjusted life expectancy) and cost outcomes up to a lifetime horizon, based on risk equations from the Framingham study. Internal and external validation analyses were performed. RESULTS: The results of the model validation analyses, plotted against corresponding real-life values from Framingham, 4S, AFCAPS/TexCAPS, and a meta-analysis by Gordon et al., showed that the majority of values were close to the y = x line, which indicates a perfect fit. The R2 value was 0.9575 and the gradient of the regression line was 0.9329, both very close to the perfect fit (= 1). CONCLUSIONS: Validation analyses of the computer simulation model suggest the model is able to recreate the outcomes from published clinical studies and would be a valuable tool for the evaluation of new and existing therapy options for patients with persistent dyslipidemia.

Cholesterol, HDL↗

Clinical and cost-effectiveness of electroconvulsive therapy for depressive illness, schizophrenia, catatonia and mania: systematic reviews and economic modelling studies.

OBJECTIVES: To establish the clinical effectiveness and cost-effectiveness of electroconvulsive therapy (ECT) for depressive illness, schizophrenia, catatonia and mania. DATA SOURCES: Electronic bibliographic databases. The reference lists of relevant articles and health services research-related resources were consulted via the Internet. REVIEW METHODS: Identified studies were examined to ascertain whether they met the inclusion criteria for the review. The study quality of relevant articles was assessed using standard checklists and data were abstracted using standardised forms into a database. Where relevant, results from studies were pooled for meta-analysis. Two economic models were developed primarily based on evidence from the clinical effectiveness analysis and limited quality of life studies. RESULTS: Two good-quality systematic reviews of randomised evidence of the efficacy and safety of ECT in people with depression, schizophrenia, catatonia and mania were identified. Four systematic reviews on non-randomised evidence were also identified, although only one of these could be described as good quality. There was no randomised evidence of the effectiveness of ECT in specific subgroups including older people, children and adolescents, people with catatonia and women with postpartum exacerbations of depression or schizophrenia. The economic modelling results for depression did not demonstrate that any of the scenarios had a clear economic benefit over the others, mainly because of the uncertainty surrounding the clinical effectiveness of the different treatments and the quality of life utility gains. Sensitivity analysis surrounding the cost of ECT and the quality of life utility values had little effect on the overall results. The results of the model for schizophrenia adapted to include ECT suggest that clozapine is a cost-effective treatment compared with ECT. For patients who fail to respond to clozapine, ECT treatment may be preferred to the comparative treatment of haloperidol/chlorpromazine. CONCLUSIONS: Real ECT is probably more effective than sham ECT, but as stimulus parameters have an important influence on efficacy, low-dose unilateral ECT is no more effective than sham ECT. ECT is probably more effective than pharmacotherapy in the short term and limited evidence suggests that ECT is more effective than repetitive transcranial magnetic stimulation. Tricyclic antidepressants (TCAs) may improve the antidepressant effect of ECT during the course of treatment. Continuation pharmacotherapy with TCAs combined with lithium in people who have responded to ECT reduces the rate of relapses. Overall, gains in the efficacy of the intervention depending on the stimulus parameters of ECT are achieved only at the expense of an increased risk of cognitive side-effects. Limited evidence suggests these effects do not last beyond 6 months, but there is no evidence examining the longer term cognitive effects of ECT. There is little evidence of the long-term efficacy of ECT. ECT either combined with antipsychotic medication or as a monotherapy is not more effective than antipsychotic medication in people with schizophrenia. More research is needed to examine the long-term efficacy of ECT and the effectiveness of post-ECT pharmacotherapy, the short-term and longer term cognitive side-effects of ECT, and the impact of ECT on suicide and all-cause mortality. Further work is needed to examine the information needs of people deciding whether to accept ECT and how their decision-making can be facilitated. More research is also needed on the mechanism of action of ECT. Finally, the quality of reporting of trials in this area would be vastly improved by strict adherence to the Consolidated Standards of Reporting Trials recommendations. Economic analysis may identify areas in which research would be best targeted by identifying parameters where reducing the level of uncertainty would have the most effect in helping to make the decision on whether ECT is a cost-effective treatment.

Adolescent↗

Evaluation of new technologies for total hip replacement. Economic modelling and clinical trials.

Cost is a factor in the choice of prosthetic components in joint replacement. For a given performance, the least expensive components are the most cost-effective. When evaluating a new prosthesis with an unknown outcome, the use of an economic model allows estimation of potential cost-effectiveness. We used published data for the survival of cemented total hip replacements from Sweden, and cost and demographic information from New South Wales, Australia, in such a model. In young active total hip recipients a new prosthetic design which offered a 90% improvement in survivorship over 15 years and a 15% reduction in the cost of revision surgery, could be sold at a price of 2 to 2.5 times that of conventional cemented components such as the Charnley Low Friction Arthroplasty and still be cost-effective. Using more likely estimates of the improved performance of new technology, however, the upper limit of cost-effectiveness is an increase of 1.5 to 1. Only a very small increase in the cost of a prosthesis could ever be justified for older patients of either sex. Most of the potential benefits of a better level of survivorship appear towards the end of the 15-year period. The results of modelling may be incorporated in clinical trial design. Given the known performance of some well-established and relatively inexpensive designs of prostheses, very large randomised studies would be required to prove an improvement in performance.

Aged↗

Stroke treatment economic model (STEM): predicting long-term costs from functional status.

BACKGROUND AND PURPOSE: Stroke is a debilitating disease with long-term social and economic consequences. As new therapies for acute ischemic stroke are forthcoming, there is an increasing need to understand their long-term economic implications. To address this need, a stroke economic model was created. METHODS: The model consists of 3 modules. A short-term module incorporates short-term clinical trial data. A long-term module composed of several Markov submodels predicts patient transitions among various locations over time. The modules are connected via a bridge component that groups the survivors at the end of the short-term module according to their functional status and location. Examples of analyses that can be conducted with this model are provided with the use of data from 2 international trials. For illustration, UK unit costs were estimated. RESULTS: With the trial data in the short-term module, the short-term management cost is estimated to be pound8326 (US $13,649 [USD]). Hospital stay was the major cost driver. By the end of the trials, there was a pronounced difference in the distribution of patient locations between functional groups. It is predicted in the long-term module that the subsequent cost amounts to pound75 985 (124,564 USD) for a major and pound27,995 (45,893 USD) for a minor stroke. CONCLUSIONS: Linking functional recovery at the end of short-term treatment with patients' treatment and residential locations allows this model to estimate the long-term economic impact of stroke interventions. Using patient location instead of the more common natural history as the model foundation allows quantification of the long-term impact to become data driven and hence increases confidence in the results.

Cost of Illness↗

Economic modeling and sensitivity analysis.

The field of pharmacoeconomics (PE) faces serious concerns of research credibility and bias. The failure of researchers to reproduce similar results in similar settings, the inappropriate use of clinical data in economic models, the lack of transparency, and the inability of readers to make meaningful comparisons across published studies have greatly contributed to skepticism about the validity, reliability, and relevance of these studies to healthcare decision-makers. Using a case study in the field of lipid PE, two suggestions are presented for generally applicable reporting standards that will improve the credibility of PE. Health economists and researchers should be expected to provide either the software used to create their PE model or a multivariate sensitivity analysis of their PE model. Software distribution would allow other users to validate the assumptions and calculations of a particular model and apply it to their own circumstances. Multivariate sensitivity analysis can also be used to present results in a consistent and meaningful way that will facilitate comparisons across the PE literature. Using these methods, broader acceptance and application of PE results by policy-makers would become possible. To reduce the uncertainty about what is being accomplished with PE studies, it is recommended that these guidelines become requirements of both scientific journals and healthcare plan decision-makers. The standardization of economic modeling in this manner will increase the acceptability of pharmacoeconomics as a practical, real-world science.

Journal Article↗

Methodological quality of economic modelling studies. A case study with hepatitis B vaccines.

The notable increase in the quantity of economic evaluations in the last 2 decades has not been matched by good methodological standards. This problem is particularly evident in the field of economic evaluations of hepatitis B vaccines. The results of 2 systematic reviews conducted by us in 1993 and 1996 showed three problem areas. A sizeable minority of study reports failed to provide a clear study aim, showing a basic ignorance of the first rule of conducting scientific research. The basic epidemiological assumptions upon which the economic models were based showed variability which persisted even after stratification, raising the question of the accuracy of the epidemiological knowledge base of hepatitis B infection and its progression. Lastly, many of the studies showed weaknesses in basic methods of conducting and reporting economic evaluations. Examination of these problem areas led us to conclude that no conclusions about the efficiency of hepatitis B vaccines could be drawn from the available evidence. Addressing the problem of poor methodological standards concerns the whole research community. However, as a proportion of economic evaluations are published, one obvious means of exerting pressure to increase and maintain methodological standards is the editorial and peer review process. Editors of specialist and general medical journals should agree on and enforce common explicit guidelines for study conduct and reporting, following the example of the British Medical Journal.

Hepatitis B↗

Economic modelling of different treatment strategies for haemophilia A with high-responding inhibitors.

This paper reports a systematic review of the cost-effectiveness of treatment options in patients with haemophilia A with inhibitors. As very little relevant published evidence was identified, an economic modelling exercise was undertaken to calculate the cost-effectiveness of different strategies in the treatment of high-responding haemophilia A patients with inhibitors. A decision analysis approach was used to model the expected lifetime clinical outcomes and costs of the more common regimens currently used in UK in treating severe haemophiliacs with inhibitors. The model attempts to reflect the outcomes of clinical events, costs and life expectancy for each different treatment regimen for haemophilic boys with inhibitors who are high responders (defined as inhibitor level >/=10 BU) throughout their life. The basic model structure is centred on a Markov decision process, which was used to simulate, at quarter-yearly intervals, the movement through discrete health states and their complications. The model allows a comparison of cost-effectiveness between three immune tolerance induction (ITI) regimens (Bonn, Mälmo and Low-Dose protocols) and against a relevant 'on-demand' (OD) regimen. It also shows the cost-effectiveness of different OD regimens using different bypassing agents. The results of the economic modelling indicate that treating haemophilia A patients who have high-responding inhibitors OD with recombinant activated factor VII is cost-effective compared to treatment with activated prothrombin complex concentrates. However, when OD treatment regimens are compared with the three ITI protocols, the Malmö ITI protocol is the preferred treatment strategy, generating more quality adjusted life-years (QALYs) and less cost than either an OD regimen or the Bonn or Low-Dose ITI protocols.

Cost-Benefit Analysis↗