Cost-effectiveness analysis of newborn screening for sickle-cell disease in Spain

Benefits and harms of antenatal and newborn screening programmes in health economic assessments: the VALENTIA systematic review and qualitative investigation

Background

Health economic assessments are used to determine whether the resources needed to generate net benefit from an antenatal or newborn screening programme, driven by multiple benefits and harms, are justifiable. It is not known what benefits and harms have been adopted by economic evaluations assessing these programmes and whether they omit benefits and harms considered important to relevant stakeholders.

Objectives

(1) To identify the benefits and harms adopted by health economic assessments in this area, and to assess how they have been measured and valued; (2) to identify attributes or relevance to stakeholders that ought to be considered in future economic assessments; and (3) to make recommendations about the benefits and harms that should be considered by these studies.

Design

Mixed methods combining systematic review and qualitative work.

Systematic review methods

We searched the published and grey literature from January 2000 to January 2021 using all major electronic databases. Economic evaluations of an antenatal or newborn screening programme in one or more Organisation for Economic Co-operation and Development countries were considered eligible. Reporting quality was assessed using the Consolidated Health Economic Evaluation Reporting Standards checklist. We identified benefits and harms using an integrative descriptive analysis and constructed a thematic framework.

Qualitative methods

We conducted a meta-ethnography of the existing literature on newborn screening experiences, a secondary analysis of existing individual interviews related to antenatal or newborn screening or living with screened-for conditions, and a thematic analysis of primary data collected with stakeholders about their experiences with screening.

Results

The literature searches identified 52,244 articles and reports, and 336 unique studies were included. Thematic framework resulted in seven themes: (1) diagnosis of screened for condition, (2) life-years and health status adjustments, (3) treatment, (4) long-term costs, (5) overdiagnosis, (6) pregnancy loss and (7) spillover effects on family members. Diagnosis of screened-for condition (115, 47.5%), life-years and health status adjustments (90, 37.2%) and treatment (88, 36.4%) accounted for most of the benefits and harms evaluating antenatal screening. The same themes accounted for most of the benefits and harms included in studies assessing newborn screening. Long-term costs, overdiagnosis and spillover effects tended to be ignored. The wide-reaching family implications of screening were considered important to stakeholders. We observed good overlap between the thematic framework and the qualitative evidence.

Limitations

Dual data extraction within the systematic literature review was not feasible due to the large number of studies included. It was difficult to recruit healthcare professionals in the stakeholder's interviews.

Conclusions

There is no consistency in the selection of benefits and harms used in health economic assessments in this area, suggesting that additional methods guidance is needed. Our proposed thematic framework can be used to guide the development of future health economic assessments evaluating antenatal and newborn screening programmes.

Study registration

This study is registered as PROSPERO CRD42020165236.

Funding

This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: NIHR127489) and is published in full in Health Technology Assessment; Vol. 28, No. 25. See the NIHR Funding and Awards website for further award information.

Development of a conceptual model for evaluating new non-curative and curative therapies for sickle cell disease

BACKGROUND

Sickle cell disease (SCD) is a clinically heterogeneous disease with many acute and chronic complications driven by ongoing vaso-occlusion and hemolysis. It causes a disproportionate burden on Black and Hispanic communities. Our objective was to follow the SMDM/ISPOR Task Force recommendations for good practices and create a conceptual model of the progression of SCD under current clinical practice to inform cost-effectiveness analyses (CEA) of promising curative therapies in the pipeline over a lifetime horizon.

METHODS

We used consultations with experts, providers, and patients to identify acute events and chronic conditions in the conceptual model. We compared our model structure to previous CEA models of interventions for SCD, assessed the prevalence of the identified disease attributes in Medicaid and Medicare claims databases, and identified relevant outcomes following the 2nd Panel in CEA. We determined an appropriate modeling technique and relevant data sources for parameterizing the model.

RESULTS

The conceptual model structure included four dimensions of disease: chronic pain, acute events, chronic conditions, and treatment complications, spanning 26 disease attributes with significant impacts on health-related quality of life and resource. We modeled chronic pain separately to reflect its importance to patients and interaction with all other disease attributes. We identified additional data sources for health state utilities and non-medical costs and benefits of SCD. We will use a microsimulation model with age- and sex-specific transitions between health states predicted by patient demographic characteristics and disease history.

CONCLUSION

Developing the model structure through an explicit process of model conceptualization can increase the transparency and accuracy of results. We will populate the conceptual model with the data sources described and evaluate the cost-effectiveness of curative therapies.

The Use of Cost-Effectiveness Analysis in Sickle Cell Disease: A Critical Review of the Literature

Novel interventions for sickle cell disease (SCD) bring hope to patients, yet concern about the associated economic costs exists. Cost-effectiveness analysis (CEA) uses standardized methods, with robust underpinnings in health economics, to estimate the value of these interventions compared with usual care. However, because of the complexity and lifetime trajectory of SCD, CEAs are challenging to conduct. The objectives of this rapid review were to summarize the main characteristics, components, and results of published CEAs of existing interventions for SCD, identify research gaps, and provide directions for future analyses. We identified records through searches of bibliographic databases, from reference lists of relevant review articles, and through consultation with experts. A total of 13 CEAs met our inclusion criteria and were qualitatively synthesized. These evaluated blood transfusions (n = 2), hematopoietic stem cell transplantation (n = 1), pharmaceuticals (n = 2), hypothetical cell or genetic therapy (n = 1), screening programs (n = 4), and interventions for SCD treatment complications (n = 3). A limited number of potential SCD and treatment complications were evaluated. No study adopted a societal perspective in the base case, six studies examined lifetime cost-effectiveness, seven studies employed a Markov or discrete-event simulation model, and eight studies used an outcome metric that captured both quality and length of life. To better compare the value of emerging and current therapies, future CEAs should adopt a societal perspective incorporating both medical and nonmedical costs, comprehensively model SCD complexity using robust health economic simulation models over the patient's entire lifespan, and capture the intervention's effect on both survival and quality of life.

The Methodological Quality and Challenges in Conducting Economic Evaluations of Newborn Screening: A Scoping Review

INTRODUCTION

Cost-effectiveness (CEA) and cost-utility analyses (CUA) have become popular types of economic evaluations (EE) used for evidence-based decision-making in healthcare resource allocation. Newborn screening programs (NBS) can have significant clinical benefits for society, and cost-effectiveness analysis may help to select the optimal strategy among different screening programs, including the no-screening option, on different conditions. These economic analyses of NBS, however, are hindered by several methodological challenges. This study explored the methodological quality in recent NBS economic evaluations and analyzed the main challenges and strategies adopted by researchers to deal with them.

METHODS

A scoping review was conducted according to PRISMA methodology to identify CEAs and CUAs of NBS. The methodological quality of the retrieved studies was assessed quantitatively using a specific guideline for the quality assessment of NBS economic evaluations, by calculating a general score for each EE. Challenges in the studies were then explored using thematic analysis as a qualitative synthesis approach.

RESULTS

Thirty-five studies met the inclusion criteria. The quantitative analysis showed that the methodological quality of NBS economic evaluations was heterogeneous. Lack of clear description of items related to results, discussion, and discounting were the most frequent flaws. Methodological challenges in performing EEs of neonatal screenings include the adoption of a long time horizon, the use of quality-adjusted life years as health outcome measure, and the assessment of costs beyond the screening interventions.

CONCLUSIONS

The results of this review can support future economic evaluation research, aiding researchers to develop a methodological guidance to perform EEs aimed at producing solid results to inform decisions for resource allocation in neonatal screening.

Automated generation of decision-tree models for the economic assessment of interventions for rare diseases using the RaDiOS ontology

OBJECTIVE

The development of decision models to assess interventions for rare diseases require huge efforts from research groups, especially regarding collecting and synthesizing the knowledge to parameterize the model. This article presents a method to reuse the knowledge collected in an ontology to automatically generate decision tree models for different contexts and interventions.

MATERIAL AND METHODS

We updated the reference ontology (RaDiOS) to include more knowledge required to generate a model. We implemented a transformation tool (RaDiOS-MTT) that uses the knowledge stored in RaDiOS to automatically generate decision trees for the economic assessment of interventions on rare diseases.

RESULTS

We used a case study to illustrate the potential of the tool, and automatically generate a decision tree that reproduces an actual study on newborn screening for profound biotinidase deficiency.

CONCLUSIONS

RaDiOS-MTT allows research groups to reuse the evidence collected, and thus speeding up the development of health economics assessments for interventions on rare diseases.

Towards the automated economic assessment of newborn screening for rare diseases

OBJECTIVE

Economic assessments of newborn screening programs for rare diseases involve the use of models and require huge efforts to synthesize information from different sources. Sharing and automatically or semi-automatically reusing this information for new assessments would be desirable, but it is not possible nowadays due to the lack of suitable tools.

MATERIAL AND METHODS

We designed and implemented the Rare Diseases Ontology for Simulation (RaDiOS) after performing two reviews, and critically appraising the existing data repositories on rare diseases. The first review involved previous published economic assessments, and served to identify the main parameters required to model newborn screening. The second review aimed at locating existing data repositories potentially available to inform these parameters.

RESULTS

We found key model parameters on epidemiology, screening methods, diagnose methods, pathogenesis, treatment and follow-up tests. We also identified seven data repositories directly related to rare diseases. None of such repositories was well-suited for the automated generation of simulation models. We incorporated the identified parameters as structured classes and properties of the new ontology (RaDiOS). We carefully set the relationships among the parameters so to allow automated inference from the ontology.

CONCLUSIONS

RaDiOS is an ontology that serves as a data repository to automatically build simulation models for the economic assessment of newborn screening for rare diseases.

Neonatal Screening for Sickle Cell Disease in Belgium for More than 20 Years: An Experience for Comprehensive Care Improvement

Our previous results reported that compared to sickle cell patients who were not screened at birth, those who benefited from it had a lower incidence of a first bacteremia and a reduced number and days of hospitalizations. In this context, this article reviews the Belgian experience on neonatal screening for sickle cell disease (SCD). It gives an update on the two regional neonatal screening programs for SCD in Belgium and their impact on initiatives to improve clinical care for sickle cell patients. Neonatal screening in Brussels and Liège Regions began in 1994 and 2002, respectively. Compiled results for the 2009 to 2017 period demonstrated a birth prevalence of sickle cell disorder above 1:2000. In parallel, to improve clinical care, (1) a committee of health care providers dedicated to non-malignant hematological diseases has been created within the Belgian Haematology Society; (2) a clinical registry was implemented in 2008 and has been updated in 2018; (3) a plan of action has been proposed to the Belgian national health authority. To date, neonatal screening is not integrated into the respective Belgian regional neonatal screening programs, the ongoing initiatives in Brussels and Liège Regions are not any further funded and better management of the disease through the implementation of specific actions is not yet perceived as a public health priority in Belgium.

Cost-Effectiveness Methods and Newborn Screening Assessment

Nowadays, health funding decisions must be supported by sound arguments in terms of both effectiveness and economic criteria. After more than half a century of newborn screening for rare diseases, the appropriate economic evaluation framework for these interventions is still challenging. The validity of standard methods for economic evaluation heavily relies on the availability of robust evidence, but collection of such evidence is precluded by the rareness of the conditions that may benefit from screening. Furthermore, there are a series of conceptual and methodological limitations that warrant further careful consideration when assessing the cost-effectiveness of newborn screening programs. In this chapter we provide a general overview of current economic evaluation methods and the challenges for their application to newborn screening programs.