Dataset Information

Economic evaluation in chronic pain: a systematic review and de novo flexible economic model.

ABSTRACT: There is unmet need in patients suffering from chronic pain, yet innovation may be impeded by the difficulty of justifying economic value in a field beset by data limitations and methodological variability. A systematic review was conducted to identify and summarise the key areas of variability and limitations in modelling approaches in the economic evaluation of treatments for chronic pain. The results of the literature review were then used to support the development of a fully flexible open-source economic model structure, designed to test structural and data assumptions and act as a reference for future modelling practice. The key model design themes identified from the systematic review included: time horizon; titration and stabilisation; number of treatment lines; choice/ordering of treatment; and the impact of parameter uncertainty (given reliance on expert opinion). Exploratory analyses using the model to compare a hypothetical novel therapy versus morphine as first-line treatments showed cost-effectiveness results to be sensitive to structural and data assumptions. Assumptions about the treatment pathway and choice of time horizon were key model drivers. Our results suggest structural model design and data assumptions may have driven previous cost-effectiveness results and ultimately decisions based on economic value. We therefore conclude that it is vital that future economic models in chronic pain are designed to be fully transparent and hope our open-source code is useful in order to aspire to a common approach to modelling pain that includes robust sensitivity analyses to test structural and parameter uncertainty.

SUBMITTER: Sullivan W

PROVIDER: S-EPMC4899502 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Economic evaluation in chronic pain: a systematic review and de novo flexible economic model.

Sullivan W W Hirst M M Beard S S Gladwell D D Fagnani F F López Bastida J J Phillips C C Dunlop W C N WC

The European journal of health economics : HEPAC : health economics in prevention and care 20150916 6

There is unmet need in patients suffering from chronic pain, yet innovation may be impeded by the difficulty of justifying economic value in a field beset by data limitations and methodological variability. A systematic review was conducted to identify and summarise the key areas of variability and limitations in modelling approaches in the economic evaluation of treatments for chronic pain. The results of the literature review were then used to support the development of a fully flexible open-s ...[more]

PMID: 26377997

Similar Datasets

Project description:BACKGROUND:Chronic kidney disease (CKD) is a progressive condition that leads to irreversible damage to the kidneys and is associated with an increased incidence of cardiovascular events and mortality. As novel interventions become available, estimates of economic and clinical outcomes are needed to guide payer reimbursement decisions. OBJECTIVE:The aim of the present study was to systematically review published economic models that simulated long-term outcomes of kidney disease to inform cost-effectiveness evaluations of CKD treatments. METHODS:The review was conducted across four databases (MEDLINE, Embase, the Cochrane library and EconLit) and health technology assessment agency websites. Relevant information on each model was extracted. Transition and mortality rates were also extracted to assess the choice of model parameterisation on disease progression by simulating patient's time with end-stage renal disease (ESRD) and time to ESRD/death. The incorporation of cardiovascular disease in a population with CKD was qualitatively assessed across identified models. RESULTS:The search identified 101 models that met the criteria for inclusion. Models were classified into CKD models (n = 13), diabetes models with nephropathy (n = 48), ESRD-only models (n = 33) and cardiovascular models with CKD components (n = 7). Typically, published models utilised frameworks based on either (estimated or measured) glomerular filtration rate (GFR) or albuminuria, in line with clinical guideline recommendations for the diagnosis and monitoring of CKD. Generally, two core structures were identified, either a microsimulation model involving albuminuria or a Markov model utilising CKD stages and a linear GFR decline (although further variations on these model structures were also identified). Analysis of parameter variability in CKD disease progression suggested that mean time to ESRD/death was relatively consistent across model types (CKD models 28.2 years; diabetes models with nephropathy 24.6 years). When evaluating time with ESRD, CKD models predicted extended ESRD survival over diabetes models with nephropathy (mean time with ESRD 8.0 vs. 3.8 years). DISCUSSION:This review provides an overview of how CKD is typically modelled. While common frameworks were identified, model structure varied, and no single model type was used for the modelling of patients with CKD. In addition, many of the current methods did not explicitly consider patient heterogeneity or underlying disease aetiology, except for diabetes. However, the variability of individual patients' GFR and albuminuria trajectories perhaps provides rationale for a model structure designed around the prediction of individual patients' GFR trajectories. Frameworks of future CKD models should be informed and justified based on clinical rationale and availability of data to ensure validity of model results. In addition, further clinical and observational research is warranted to provide a better understanding of prognostic factors and data sources to improve economic modelling accuracy in CKD.

Project description:BackgroundChronic pain is common, often widespread and has a substantial impact on health and quality of life. The relationship between chronic pain and mortality is unclear. This systematic review aimed to identify and evaluate evidence for a relationship between chronic pain and mortality.MethodsA search of ten electronic databases including EMBASE and MEDLINE was conducted in March 2012, and updated until March 2014. Observational studies investigating the association between chronic or widespread pain (including fibromyalgia) and mortality were included. Risk of bias was assessed and a meta-analysis was undertaken to quantify heterogeneity and pool results. A narrative review was undertaken to explore similarities and differences between the included studies.ResultsTen studies were included in the review. Three reported significant associations between chronic or widespread pain and mortality in unadjusted results. In adjusted analyses, four studies reported a significant association. The remaining studies reported no statistically significant association. A meta-analysis showed statistically significant heterogeneity of results from studies using comparable outcome measures (n?=?7)(I2?=?78.8%) and a modest but non-significant pooled estimate (MRR1.14,95%CI 0.95-1.37) for the relationship between chronic pain and all-cause mortality. This association was stronger when analysis was restricted to studies of widespread pain (n?=?5,I2?=?82.3%) MRR1.22(95%CI 0.93-1.60). The same pattern was observed with deaths from cancer and cardiovascular diseases. Heterogeneity is likely to be due to differences in study populations, follow-up time, pain phenotype, methods of analysis and use of confounding factors.ConclusionThis review showed a mildly increased risk of death in people with chronic pain, particularly from cancer. However, the small number of studies and methodological differences prevented clear conclusions from being drawn. Consistently applied definitions of chronic pain and further investigation of the role of health, lifestyle, social and psychological factors in future studies will improve understanding of the relationship between chronic pain and mortality.

Project description:ObjectivesThe objective of this systematic review was to examine the existing evidence base for the cost-effectiveness or cost-benefit of clinical quality registries (CQRs).DesignSystematic review and narrative synthesis.Data sourcesNine electronic bibliographic databases, including MEDLINE, EMBASE and CENTRAL, in the period from January 2000 to August 2019.Eligibility criteriaAny peer-reviewed published study or grey literature in English which had reported on an economic evaluation of one or more CQRs.Data extraction and synthesisData were screened, extracted and appraised by two independent reviewers. A narrative synthesis was performed around key attributes of each CQR and on key patient outcomes or changes to healthcare processes or utilisation. A narrative synthesis of the cost-effectiveness associated with CQRs was also conducted. The primary outcome was cost-effectiveness, in terms of the estimated incremental cost-effectiveness ratio (ICER), cost savings or return-on-investment (ROI) attributed to CQR implementation.ResultsThree studies and one government report met the inclusion criteria for the review. A study of the National Surgical Quality Improvement Programme (NSQIP) in the USA found that the cost-effectiveness of this registry improved over time, based on an ICER of US$8312 per postoperative event avoided. A separate study in Canada estimated the ROI to be US$3.43 per US$1.00 invested in the NSQIP. An evaluation of a post-splenectomy CQR in Australia estimated that registry cost-effectiveness improved from US$234?329 to US$18?358 per life year gained when considering the benefits accrued over the lifetime of the population. The government report evaluating five Australian CQRs estimated an overall return of 1.6-5.5 times the cost of investment.ConclusionsAvailable data indicate that CQRs can be cost-effective and can lead to significant returns on investment. It is clear that further studies that evaluate the economic and clinical impacts of CQRs are necessary.Prospero registration numberCRD42018116807.

Dataset Information

Economic evaluation in chronic pain: a systematic review and de novo flexible economic model.

Publications

Economic evaluation in chronic pain: a systematic review and de novo flexible economic model.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets