Understanding the medical and nonmedical value of diagnostic testing

Documenting the Full Value of Vaccination: A Systematic Review of Value Frameworks

OBJECTIVES

Economic evaluations of vaccination may not fully account for nonhealth patient impacts on families, communities, and society (ie, broader value elements). Omission of broader value elements may reflect a lack of established measurement methodology, lack of agreement over which value elements to include in economic evaluations, and a lack of consensus on whether the value elements included should vary by vaccination type or condition. We conducted a systematic review of value frameworks to identify broader value elements and measurement guidance that may be useful for capturing the full value of vaccination.

METHODS

We searched Ovid MEDLINE, PubMed, Embase, and the gray literature to identify value frameworks for all health interventions, and we extracted information on each framework's context, value elements, and any available guidance on how these elements should be measured. We used descriptive statistics to analyze and compare the prevalence of broader value elements in vaccination value frameworks and other healthcare-related value frameworks.

RESULTS

Our search identified 62 value frameworks that met inclusion criteria, 9 of which were vaccination specific. Although vaccination frameworks included several broader value elements, such as reduced transmissibility and public health benefits, the elements were represented inconsistently across the frameworks. Vaccination frameworks omitted several value elements included in nonvaccination-specific frameworks, including dosing and administration complexity and affordability. In addition, guidance for measuring broader value elements was underdeveloped.

CONCLUSIONS

Future efforts should further evaluate inclusion of broader value elements in economic evaluations of vaccination and develop standards for their subsequent measurement.

A Systematic Review of Value Criteria for Next-Generation Sequencing/Comprehensive Genomic Profiling to Inform Value Framework Development

OBJECTIVES

To comprehensively identify and map an exhaustive list of value criteria for the assessment of next-generation sequencing/comprehensive genomic profiling (NGS/CGP), to be used as an aid in decision making.

METHODS

We conducted a systematic review to identify existing value frameworks (VFs) applicable to any type of healthcare technology. VFs and criteria were mapped to a previously published Latin American (LA) VF to harmonize definitions and identify additional criteria and or subcriteria. Based on this analysis, we extracted a comprehensive, evidence-based list of criteria and subcriteria to be considered in the design of a NGS/CGP VF.

RESULTS

A total of 42 additional VFs were compared with the LA VF, 88% were developed in high-income countries, 30% targeted genomic testing, and 16% specifically targeted oncology. A total of 242 criteria and subcriteria were extracted; 227 (94%) were fully/partially included in the LA VF; and 15 (6%) were new. Clinical benefit and economic aspects were the most common criteria. VFs oriented to genomic testing showed significant overlap with other VFs. Considering all criteria and subcriteria, a total of 18 criteria and 36 individual subcriteria were identified.

CONCLUSIONS

Our study provides an evidence-based set of criteria and subcriteria for healthcare decision making useful for NGS/CGP as well as other health technologies. The resulting list can be beneficial to inform decision making and will serve as a foundation to co-create a multistakeholder NGS/CGP VF that is aligned with the needs and values of health systems and could help to improve patient access to high-value technologies.

Diagnostic testing in children: A qualitative study of pediatricians' considerations

AIMS AND OBJECTIVES

Studies in adult medicine have shown that physicians base testing decisions on the patient's clinical condition but also consider other factors, including local practice or patient expectations. In pediatrics, physicians and parents jointly decide on behalf of a (young) child. This might demand more explicit and more complex deliberations, with sometimes conflicting interests. We explored pediatricians' considerations in diagnostic test ordering and the factors that influence their deliberation.

METHOD

We performed in-depth, semistructured interviews with a purposively selected heterogeneous sample of 20 Dutch pediatricians. We analyzed transcribed interviews inductively using a constant comparative approach, and clustered data across interviews to derive common themes.

RESULTS

Pediatricians perceived test-related burden in children higher compared with adults, and reported that avoiding an unjustified burden causes them to be more restrictive and deliberate in test ordering. They felt conflicted when parents desired testing or when guidelines recommended diagnostic tests pediatricians perceived as unnecessary. When parents demanded testing, they would explore parental concern, educate parents about harms and alternative explanations of symptoms, and advocate watchful waiting. Yet they reported sometimes performing tests to appease parents or to comply with guidelines, because of feared personal consequences in the case of adverse outcomes.

CONCLUSION

We obtained an overview of the considerations that are weighed in pediatric test decisions. The comparatively strong focus on prevention of harm motivates pediatricians to critically appraise the added value of testing and drivers of low-value testing. Pediatricians' relatively restrictive approach to testing could provide an example for other disciplines. Improved guidelines and physician and patient education could help to withstand the perceived pressure to test.

Patient-centred outcomes of imaging tests: recommendations for patients, clinicians and researchers

BACKGROUND

Imaging tests are one of the most frequently used diagnostic modalities in healthcare, but the benefits of their direct impacts on clinical decision-making have been countered by concerns that they can be overused. Assessing the relative value of imaging tests has largely focused on measures of test accuracy, which overlooks more comprehensive benefits and risks of imaging tests, particularly their impact on patient-centred outcomes (PCOs). We present the findings of the Patient Reported Outcomes of Diagnostics (PROD) research study in response to a methodological gap in the area of diagnostic test comparative effectiveness research.

METHODS

Over a 3-year period, the PROD Study engaged with multiple stakeholders to identify existing conceptual models related to PCOs for imaging testing, conducted primary research and evidence synthesis, and developed consensus recommendations to describe and categorise PCOs related to imaging testing.

RESULTS

The PROD framework categorises PCOs from imaging studies within four main domains: information or knowledge yielded, physical impact, emotional outcomes and test burden. PCOs interact with each other and influence effects across domains, and can be modified by factors related to the patient, clinical situation, healthcare team and the testing environment.

CONCLUSIONS

Using PCOs to inform healthcare decision-making will require ways of collating and presenting information on PCOs in ways that can inform patient-provider decision-making, and developing methods to determine the relative importance of outcomes (including test accuracy) to one another.

Real-World Data and Budget Impact Analysis (BIA): Evaluation of a Targeted Next-Generation Sequencing Diagnostic Approach in Two Orthopedic Rare Diseases

Objective: Next-generation sequencing (NGS) technology, changing the diagnostic approach, has become essential in clinical settings, and its adoption by public health laboratories is now the practice. Despite this, as technological innovations, its intake requires an evaluation of both the clinical utility and the economic investment, especially considering the rare disease scenario. This study evaluated the analytical validity and the budget impact of an NGS-Ion Torrent™ approach for the molecular germline diagnosis of two musculoskeletal rare diseases.

Methods: Two cohorts of 200 and 199 patients with suspect or clinical diagnosis of multiple osteochondromas (MO) and osteogenesis imperfecta (OI) previously evaluated with a single-gene diagnostic protocol were re-analyzed using a targeted NGS assay. Analytical validity was assessed by comparing NGS and single-gene protocol. A budget impact analysis using real-world cost data-considering the healthcare perspective— was performed by applying activity-based costing (ABC). The cost considered consumables, personnel, and equipment. Additional costs not related to NGS activities were not considered. Sensitivity analysis was performed.

Results: The NGS method showed a higher (for MO) and comparable (for OI) diagnostic sensitivity than the traditional techniques, apart from always reducing the time and costs of diagnosis. Overall, the cost saving per patient is € 765 for OI and € 74 for MO. Materials represented the highest cost driver of the NGS process. A time saving—proportional to the panel size—has been assessed in both cases.

Conclusions: Our targeted NGS diagnostic approach decreases time to diagnosis and costs, appearing to be beneficial and recommended both for patients and from a healthcare perspective in routine diagnosis also considering very small gene panels and a low patient flow. The adequate analytical sensitivity always required the additional Sanger sequencing step of the low- and non-covered regions. A more accurate strategy evaluation is suggested in the case of ultra-rare/complex diseases, large gene-panel, or non-reference diagnostic centers.

What Is Value in Health and Healthcare? A Systematic Literature Review of Value Assessment Frameworks

OBJECTIVES

This study aimed to investigate how value is defined and measured in existing value assessment frameworks (VAFs) in healthcare.

METHODS

We searched PubMed, Embase, the Cochrane Library, and Centre for Reviews and Dissemination from 2008 to 2019. We also performed backward citation chaining of included studies and previously published systematic reviews. Studies reporting the development of a VAF in healthcare were included. For each included framework, we extracted and compared the context, target users, intended use, methods used to identify value attributes, description of the attributes, and attribute scoring approaches.

RESULTS

Of the 8151 articles screened, 57 VAFs were included. The value attributes included in 55 VAFs were grouped into 9 categories: health benefits (n = 53, 96%), affordability (n = 45, 82%), societal impact (n = 42, 76%), burden of disease (n = 36, 65%), quality of evidence (n = 32, 58%), cost-effectiveness (n = 31, 56%), ethics and equity (n = 27, 49%), unmet needs (n = 21, 38%), and innovation (n = 15, 27%). The remaining 2 VAFs used broad attributes or user-defined attributes. Literature review was the main approach to identify value attributes in 36 VAFs. Patient or public was engaged through the development of only 11 VAFs. Weighting has been used to score 29 VAFs, of which 19 used the methods of multicriteria decision analysis.

CONCLUSIONS

There are substantial variations in defining and measuring value. A noticeable weakness of existing VAFs is that patient or public engagement was generally very limited or missing in framework development process. Existing VAFs tend to aggregate multiple value attributes into a single index for decision making.

Electrostatic and Covalent Assemblies of Anionic Hydrogel-Coated Gold Nanoshells for Detection of Dry Eye Biomarkers in Human Tears

Although dry eye is highly prevalent, many challenges exist in diagnosing the symptom and related diseases. For this reason, anionic hydrogel-coated gold nanoshells (AuNSs) were used in the development of a label-free biosensor for detection of high isoelectric point tear biomarkers associated with dry eye. A custom, aldehyde-functionalized oligo(ethylene glycol)acrylate (Al-OEGA) was included in the hydrogel coating to enhance protein recognition through the formation of dynamic covalent (DC) imine bonds with solvent-accessible lysine residues present on the surface of select tear proteins. Our results demonstrated that hydrogel-coated AuNSs, composed of monomers that form ionic and DC bonds with select tear proteins, greatly enhance protein recognition due to changes in the maximum localized surface plasmon resonance wavelength exhibited by AuNSs in noncompetitive and competitive environments. Validation of the developed biosensor in commercially available pooled human tears revealed the potential for clinical translation to establish a method for dry eye diagnosis.

Guidance for the Harmonisation and Improvement of Economic Evaluations of Personalised Medicine

OBJECTIVE

The objective of this study was to develop guidance contributing to improved consistency and quality in economic evaluations of personalised medicine (PM), given current ambiguity about how to measure the value of PM as well as considerable variation in the methodology and reporting in economic evaluations of PM.

METHODS

A targeted literature review of methodological papers was performed for an overview of modelling challenges in PM. Expert interviews were held to discuss best modelling practice. A systematic literature review of economic evaluations of PM was conducted to gain insight into current modelling practice. The findings were synthesised and used to develop a set of draft recommendations. The draft recommendations were discussed at a stakeholder workshop and subsequently finalised.

RESULTS

Twenty-two methodological papers were identified. Some argued that the challenges in modelling PM can be addressed within existing methodological frameworks, others disagreed. Eighteen experts were interviewed. They believed large uncertainty to be a key concern. Out of 195 economic evaluations of PM identified, 56% addressed none of the identified modelling challenges. A set of 23 recommendations was developed. Eight recommendations focus on the modelling of test-treatment pathways. The use of non-randomised controlled trial data is discouraged but several recommendations are provided in case randomised controlled trial data are unavailable. The parameterisation of structural uncertainty is recommended. Other recommendations consider perspective and discounting; premature survival data; additional value elements; patient and clinician compliance; and managed entry agreements.

CONCLUSIONS

This study provides a comprehensive list of recommendations to modellers of PM and to evaluators and reviewers of PM models.

A Value Framework for the Assessment of Diagnostic Technologies: A Proposal Based on a Targeted Systematic Review and a Multistakeholder Deliberative Process in Latin America

OBJECTIVES

there are very few value frameworks (VFs) to assess health technologies that are focused on diagnostic tests; they usually do not reflect a multistakeholder process; and they are all developed in high-income countries. Our project performed a targeted systematic review, with the objective of proposing an evidence-based, up-to-date VF informed by a multinational multistakeholder group working in the health technology assessment (HTA) space.

METHODS

(1) A targeted systematic review, with the aim to identify existing VFs and their dimensions; and (2) generation a VF proposal through a mixed-methods, qualitative-quantitative approach.

RESULTS

From 73 citations identified, 20 met our inclusion criteria and served to provide the initial list of dimensions for our VF. An initial list of criteria and subcriteria for a preliminary VF was proposed. After a full-day deliberative face-to-face meeting with 30 relevant stakeholders from seven Latin American countries and the United Kingdom, the final VF was defined, consisting of 15 criteria: five "essential or core," six highly relevant, three moderately relevant, and one of low relevance. Barriers and facilitators of value assessment of diagnostic technologies were also discussed.

CONCLUSIONS

We propose a VF oriented to diagnostic technologies based on a targeted systematic review and a participatory process with key HTA stakeholders. It is the first to be produced in a lower and middle income setting but can also be potentially useful in other contexts aimed to assist decision-making processes with these particularly complex health technologies.

Provider preferences for resolving uncertainty and avoiding harms in precision medicine: a discrete choice experiment

Background: Substantial uncertainty exists about how providers assess the value of genomic testing. Materials & methods: We developed and administered a discrete choice experiment to a national sample of providers. We analyzed responses using an error components mixed logit model. Results: We received responses from 356 providers. The attributes important to providers were patient health and function, life expectancy, cost, expert agreement, and biomarker prevalence. Providers significantly valued reducing uncertainty only when it eliminated the possibility of decreased life expectancy. Providers valued improving certainty about life expectancy gains from 12 ± 18 to 12 ± 6 months at US$400 (US$200-600) versus US$200 (-US$60-500) for 4 ± 4 to 4 ± 2 years. Conclusion: Providers value resolving uncertainty most when it eliminates the possibility of substantial harm.

The value of non-invasive prenatal testing: preferences of Canadian pregnant women, their partners, and health professionals regarding NIPT use and access

Background

Canadian policies regarding the implementation and public coverage of non-invasive prenatal testing (NIPT) are heterogeneous and shifting, with NIPT being publicly covered for high-risk pregnancies in some provinces, but not others. Such a diverse and evolving policy landscape provides fertile ground for examining the preferences of pregnant women, their partners, and health professionals regarding the implementation and coverage of NIPT by the public healthcare system, as well as the factors influencing their preferences, which is what the present study does.

Methods

In this paper, we report the results of three-large scale Canadian surveys, in which 882 pregnant women, 395 partners of pregnant women, and 184 healthcare professionals participated.

Results

The paper focuses on preferences regarding how and when NIPT should be used, as well as the factors influencing these preferences, and how coverage for NIPT should be provided. These are correlated with respondents’ levels of knowledge about Down syndrome and testing technologies and with their stated intended use of NIPT results.

Conclusion

Salient is the marked difference between the preferences of prospective parents and those of healthcare professionals, which has potential implications for Canadian policy regarding NIPT implementation and insurance coverage.

Electronic supplementary material

The online version of this article (10.1186/s12884-018-2153-y) contains supplementary material, which is available to authorized users.

Label-Free Detection of Tear Biomarkers Using Hydrogel-Coated Gold Nanoshells in a Localized Surface Plasmon Resonance-Based Biosensor

The dependence of the localized surface plasmon resonance (LSPR) of noble-metal nanomaterials on refractive index makes LSPR a useful, label-free signal transduction strategy for biosensing. In particular, by decorating gold nanomaterials with molecular recognition agents, analytes of interest can be trapped near the surface, resulting in an increased refractive index surrounding the nanomaterial, and, consequently, a red shift in the LSPR wavelength. Ionic poly( N-isopropylacrylamide- co-methacrylic acid) (PNM) hydrogels were used as protein receptors because PNM nanogels exhibit a large increase in refractive index upon protein binding. Specifically, PNM hydrogels were synthesized on the surface of silica gold nanoshells (AuNSs). This composite material (AuNS@PNM) was used to detect changes in the concentration of two protein biomarkers of chronic dry eye: lysozyme and lactoferrin. Both of these proteins have high isoelectric points, resulting in electrostatic attraction between the negatively charged PNM hydrogels and positively charged proteins. Upon binding lysozyme or lactoferrin, AuNS@PNM exhibits large, concentration-dependent red shifts in LSPR wavelength, which enabled the detection of clinically relevant concentration changes of both biomarkers in human tears. The LSPR-based biosensor described herein has potential utility as an affordable screening tool for chronic dry eye and associated conditions.

Health economic impact of liquid biopsies in cancer management

INTRODUCTION

Liquid biopsies (LBs) are referred to as the sampling and analysis of non-solid tissue, primarily blood, as a diagnostic and monitoring tool for cancer. Because LBs are largely non-invasive, they are a less-costly alternative for serial analysis of tumor progression and heterogeneity to facilitate clinical management. Although a variety of tumor markers are proposed (e.g., free-circulating DNA), the clinical evidence for Circulating Tumor Cells (CTCs) is currently the most developed. Areas covered: This paper presents a health economic perspective of LBs in cancer management. We first briefly introduce the requirements in biomarker development and validation, illustrated for CTCs. Second, we discuss the state-of-art on the clinical utility of LBs in breast cancer in more detail. We conclude with a future perspective on the clinical use and reimbursement of LBs Expert commentary: A significant increase in clinical research on LBs can be observed and the results suggest a rapid change of cancer management. In addition to studies evaluating clinical utility of LBs, a smooth translation into clinical practice requires systematic assessment of the health economic benefits. This paper argues that (early stage) health economic research is required to facilitate its clinical use and to prioritize further evidence development.

Impact of Delayed Time to Advanced Imaging on Missed Appointments Across Different Demographic and Socioeconomic Factors

PURPOSE

The aim of this study was to investigate the impact of wait days (WDs) on missed outpatient MRI appointments across different demographic and socioeconomic factors.

METHODS

An institutional review board-approved retrospective study was conducted among adult patients scheduled for outpatient MRI during a 12-month period. Scheduling data and demographic information were obtained. Imaging missed appointments were defined as missed scheduled imaging encounters. WDs were defined as the number of days from study order to appointment. Multivariate logistic regression was applied to assess the contribution of race and socioeconomic factors to missed appointments. Linear regression was performed to assess the relationship between missed appointment rates and WDs stratified by race, income, and patient insurance groups with analysis of covariance statistics.

RESULTS

A total of 42,727 patients met the inclusion criteria. Mean WDs were 7.95 days. Multivariate regression showed increased odds ratio for missed appointments for patients with increased WDs (7-21 days: odds ratio [OR], 1.39; >21 days: OR, 1.77), African American patients (OR, 1.71), Hispanic patients (OR, 1.30), patients with noncommercial insurance (OR, 2.00-2.55), and those with imaging performed at the main hospital campus (OR, 1.51). Missed appointment rate linearly increased with WDs, with analysis of covariance revealing underrepresented minorities and Medicaid insurance as significant effect modifiers.

CONCLUSIONS

Increased WDs for advanced imaging significantly increases the likelihood of missed appointments. This effect is most pronounced among underrepresented minorities and patients with lower socioeconomic status. Efforts to reduce WDs may improve equity in access to and utilization of advanced diagnostic imaging for all patients.

Decision making about healthcare-related tests and diagnostic test strategies. Paper 2: a review of methodological and practical challenges

OBJECTIVES

In this first of a series of five articles, we provide an overview of how and why healthcare-related tests and diagnostic strategies are currently applied. We also describe how our findings can be integrated with existing frameworks for making decisions that guide the use of healthcare-related tests and diagnostic strategies.

STUDY DESIGN AND SETTING

We searched MEDLINE, references of identified articles, chapters in relevant textbooks, and identified articles citing classic literature on this topic.

RESULTS

We provide updated frameworks for the potential roles and applications of tests with suggested definitions and practical examples. We also discuss study designs that are commonly used to assess tests' performance and the effects of tests on people's health. These designs include diagnostic randomized controlled trials and retrospective validation. We describe the utility of these and other currently suggested designs, which questions they can answer and which ones they cannot. In addition, we summarize the challenges unique to decision-making resulting from the use of tests.

CONCLUSION

This overview highlights current challenges in the application of tests in decision-making in healthcare, provides clarifications, and informs the proposed solutions.

Toward a Framework for Benefit-Risk Assessment in Diagnostic Imaging: Identifying Scenario-specific Criteria

RATIONALE AND OBJECTIVES

Diagnostic imaging has many effects and there is no common definition of value in diagnostic radiology. As benefit-risk trade-offs are rarely made explicit, it is not clear which framework is used in clinical guideline development. We describe initial steps toward the creation of a benefit-risk framework for diagnostic radiology.

MATERIALS AND METHODS

We performed a literature search and an online survey of physicians to identify and collect benefit-risk criteria (BRC) relevant to diagnostic imaging tests. We operationalized a process for selection of BRC with the use of four clinical use case scenarios that vary by diagnostic alternatives and clinical indication. Respondent BRC selections were compared across clinical scenarios and between radiologists and nonradiologists.

RESULTS

Thirty-six BRC were identified and organized into three domains: (1) those that account for differences attributable only to the test or device (n = 17); (2) those that account for clinical management and provider experiences (n = 12); and (3) those that capture patient experience (n = 7). Forty-eight survey participants selected 22 criteria from the initial list in the survey (9-11 per case). Engaging ordering physicians increased the number of criteria selected in each of the four clinical scenarios presented. We developed a process for standardizing selection of BRC in guideline development.

CONCLUSION

These results suggest that a process relying on elements of comparative effectiveness and the use of standardized BRC may ensure consistent examination of differences among alternatives by way of making explicit implicit trade-offs that otherwise enter the decision-making space and detract from consistency and transparency. These findings also highlight the need for multidisciplinary teams that include input from ordering physicians.

Improving American Healthcare Through "Clinical Lab 2.0": A Project Santa Fe Report

Project Santa Fe was established both to provide thought leadership and to help develop the evidence base for the valuation of clinical laboratory services in the next era of American healthcare. The participants in Project Santa Fe represent major regional health systems that can operationalize laboratory-driven innovations and test their valuation in diverse regional marketplaces in the United States. We provide recommendations from the inaugural March 2016 meeting of Project Santa Fe. Specifically, in the transition from volume-based to value-based health care, clinical laboratories are called upon to provide programmatic leadership in reducing total cost of care through optimization of time-to-diagnosis and time-to-effective therapeutics, optimization of care coordination, and programmatic support of wellness care, screening, and monitoring. This call to action is more than working with industry stakeholders on the basis of our expertise; it is providing leadership in creating the programs that accomplish these objectives. In so doing, clinical laboratories can be effectors in identifying patients at risk for escalation in care, closing gaps in care, and optimizing outcomes of health care innovation. We also hope that, through such activities, the evidence base will be created for the new value propositions of integrated laboratory networks. In the very simplest sense, this effort to create “Clinical Lab 2.0” will establish the impact of laboratory diagnostics on the full 100% spend in American healthcare, not just the 2.5% spend attributed to in vitro diagnostics. In so doing, our aim is to empower regional and local laboratories to thrive under new models of payment in the next era of American health care delivery.

Estimating Preferences for Complex Health Technologies: Lessons Learned and Implications for Personalized Medicine

We examine key study design challenges of using stated-preference methods to estimate the value of whole-genome sequencing (WGS) as a specific example of genomic testing. Assessing the value of WGS is complex because WGS provides multiple findings, some of which can be incidental in nature and unrelated to the specific health concerns that motivated the test. In addition, WGS results can include actionable findings (variants considered to be clinically useful and can be acted on), findings for which evidence for best clinical action is not available (variants considered clinically valid but do not meet as high of a standard for clinical usefulness), and findings of unknown significance. We consider three key challenges encountered in designing our national study on the value of WGS-layers of uncertainty, potential downstream consequences with endogenous aspects, and both positive and negative utility associated with testing information-and potential solutions as strategies to address these challenges. We conceptualized the decision to acquire WGS information as a series of sequential choices that are resolved separately. To determine the value of WGS information at the initial decision to undergo WGS, we used contingent valuation questions, and to elicit respondent preferences for reducing risks of health problems and the consequences of taking the steps to reduce these risks, we used a discrete-choice experiment. We conclude by considering the implications for evaluating the value of other complex health technologies that involve multiple forms of uncertainty.

Willingness to Pay for a Newborn Screening Test for Spinal Muscular Atrophy

OBJECTIVES

The current US mandatory newborn screening panel does not include spinal muscular atrophy, the most common fatal genetic disease among children. We assessed population preferences for newborn screening for spinal muscular atrophy, and how test preferences varied depending on immediate treatment implications.

METHODS

We conducted an online willingness-to-pay survey of US adults (n = 982). Respondents were asked to imagine being parents of a newborn. Each respondent was presented with two hypothetical scenarios following the spinal muscular atrophy screening test: current standard of care (no treatment available) and one of three randomly assigned scenarios (new treatment available to improve functioning, survival, or both). We used a bidding game to elicit willingness to pay for the spinal muscular atrophy test, and performed a two-part model to estimate median and mean willingness-to-pay values.

RESULTS

Most respondents (79% to 87%) would prefer screening their newborns for spinal muscular atrophy. People expressed a willingness to pay for spinal muscular atrophy screening even without an available therapy (median: $142; mean: $253). Willingness to pay increased with treatment availability (median: $161 to $182; mean: $270 to $297) and respondent income. Most respondents considered test accuracy, treatment availability, and treatment effectiveness very important or important factors in deciding willingness to pay.

CONCLUSIONS

Most people would prefer and would be willing to pay for testing their newborn for spinal muscular atrophy, even in the absence of direct treatment. People perceive the spinal muscular atrophy test more valuable if treatment were available to improve the newborn's functioning and survival. Despite preferences for the test information, adding spinal muscular atrophy to newborn screening programs remains controversial. Future studies are needed to determine how early detection may impact long-term patient outcomes.

Assessing value of innovative molecular diagnostic tests in the concept of predictive, preventive, and personalized medicine

Molecular diagnostic tests drive the scientific and technological uplift in the field of predictive, preventive, and personalized medicine offering invaluable clinical and socioeconomic benefits to the key stakeholders. Although the results of diagnostic tests are immensely influential, molecular diagnostic tests (MDx) are still grudgingly reimbursed by payers and amount for less than 5 % of the overall healthcare costs. This paper aims at defining the value of molecular diagnostic test and outlining the most important components of "value" from miscellaneous assessment frameworks, which go beyond accuracy and feasibility and impact the clinical adoption, informing healthcare resource allocation decisions. The authors suggest that the industry should facilitate discussions with various stakeholders throughout the entire assessment process in order to arrive at a consensus about the depth of evidence required for positive marketing authorization or reimbursement decisions. In light of the evolving "value-based healthcare" delivery practices, it is also recommended to account for social and ethical parameters of value, since these are anticipated to become as critical for reimbursement decisions and test acceptance as economic and clinical criteria.

Cost-effectiveness modelling in diagnostic imaging: a stepwise approach

Abstract

Diagnostic imaging (DI) is the fastest growing sector in medical expenditures and takes a central role in medical decision-making. The increasing number of various and new imaging technologies induces a growing demand for cost-effectiveness analysis (CEA) in imaging technology assessment. In this article we provide a comprehensive framework of direct and indirect effects that should be considered for CEA in DI, suitable for all imaging modalities. We describe and explain the methodology of decision analytic modelling in six steps aiming to transfer theory of CEA to clinical research by demonstrating key principles of CEA in a practical approach. We thereby provide radiologists with an introduction to the tools necessary to perform and interpret CEA as part of their research and clinical practice.

Key Points

• DI influences medical decision making, affecting both costs and health outcome.

• This article provides a comprehensive framework for CEA in DI.

• A six-step methodology for conducting and interpreting cost-effectiveness modelling is proposed.

Development and application of patient decision aids

With the current overdiagnosis of thyroid cancer resulting from routine screening in Korea, it is necessary to educate the public that not all cancers are malignant. The exposure to patient decision aids (PtDAs) compared to usual care reduced the number of people choosing to undergo prostate-specific antigen screening. This article introduces the definition, usefulness, and developmental processes of PtDAs and suggests the urgent need for a Korean PtDA related to thyroid cancer screening.

Current Evidence and Future Perspectives on the Effective Practice of Patient-Centered Laboratory Medicine

BACKGROUND

Systematic evidence of the contribution made by laboratory medicine to patient outcomes and the overall process of healthcare is difficult to find. An understanding of the value of laboratory medicine, how it can be determined, and the various factors that influence it is vital to ensuring that the service is provided and used optimally.

CONTENT

This review summarizes existing evidence supporting the impact of laboratory medicine in healthcare and indicates the gaps in our understanding. It also identifies deficiencies in current utilization, suggests potential solutions, and offers a vision of a future in which laboratory medicine is used optimally to support patient care.

SUMMARY

To maximize the value of laboratory medicine, work is required in 5 areas: (a) improved utilization of existing and new tests; (b) definition of new roles for laboratory professionals that are focused on optimizing patient outcomes by adding value at all points of the diagnostic brain-to-brain cycle; (c) development of standardized protocols for prospective patient-centered studies of biomarker clinical effectiveness or extraanalytical process effectiveness; (d) benchmarking of existing and new tests in specified situations with commonly accepted measures of effectiveness; (e) agreed definition and validation of effectiveness measures and use of checklists for articles submitted for publication. Progress in these areas is essential if we are to demonstrate and enhance the value of laboratory medicine and prevent valuable information being lost in meaningless data. This requires effective collaboration with clinicians, and a determination to accept patient outcome and patient experience as the primary measure of laboratory effectiveness.

Assessing the value of cardiac biomarkers: going beyond diagnostic accuracy?

In this era of scrutinized resource utilization, providers and payers are focused on the value of healthcare interventions more than ever. Cost-effectiveness evaluations are required by some health authorities and requested by others in order to guide budget allocation decisions. In the past, these evaluations did not methodologically consider laboratory diagnostics. We set out to explore the current requirements of health technology agencies that include laboratory diagnostics and describe, through a review of the literature, alternative methods for establishing the value of a biomarker or labroatory diagnostic beyond assay specifications and performance. The aim of this study was to evaluate the current use of a linked evidence approach in cost-effectiveness studies for cardiac laboratory tests in the last 5 years.

Analyzing paired diagnostic studies by estimating the expected benefit

When the efficacy of a new medical drug is compared against that of an established competitor in a randomized controlled trial, the difference in patient-relevant outcomes, such as mortality, is usually measured directly. In diagnostic research, however, the impact of diagnostic procedures is of an indirect nature as test results do influence downstream clinical decisions, but test performance (as characterized by sensitivity, specificity, and the predictive values of a procedure) is, at best, only a surrogate endpoint for patient outcome and does not necessarily translate into it. Not many randomized controlled trials have been conducted so far in diagnostic research, and, hence, we need alternative approaches to close the gap between test characteristics and patient outcomes. Several informal approaches have been suggested in order to close this gap, and decision modeling has been advocated as a means of obtaining formal approaches. Recently, the expected benefit has been proposed as a quantity that allows a simple formal approach, and we take up this suggestion in this paper. We regard the expected benefit as an estimation problem and consider two approaches to statistical inference. Moreover, using data from a previously published study, we illustrate the possible insights to be gained from the application of formal inference techniques to determine the expected benefit.

The diagnostic pathway in complex paediatric neurology: a cost analysis

BACKGROUND

The diagnostic trajectory of complex paediatric neurology may be long, burdensome, and expensive while its diagnostic yield is frequently modest. Improvement in this trajectory is desirable and might be achieved by innovations such as whole exome sequencing. In order to explore the consequences of implementing them, it is important to map the current pathway. To that end, this study assessed the healthcare resource use and associated costs in this diagnostic trajectory in the Netherlands.

METHODS

Fifty patients presenting with complex paediatric neurological disorders of a suspected genetic origin were included between September 2011 and March 2012. Data on their healthcare resource utilization were collected from the hospital medical charts. Unit prices were obtained from the Dutch Healthcare Authority, the Dutch Healthcare Insurance Board, and the financial administration of the hospital. Bootstrap simulations were performed to determine mean quantities and costs.

RESULTS

The mean duration of the diagnostic trajectory was 40 months. A diagnosis was established in 6% of the patients. On average, patients made 16 physician visits, underwent four imaging and two neurophysiologic tests, and had eight genetic and 16 other tests. Mean bootstrapped costs per patient amounted to €12,475, of which 43% was for genetic tests (€5,321) and 25% for hospital visits (€3,112).

CONCLUSION

Currently, the diagnostic trajectories of paediatric patients who have complex neurological disease with a strong suspected genetic component are lengthy, resource-intensive, and low-yield. The data from this study provide a backdrop against which the introduction of novel techniques such as whole exome sequencing should be evaluated.

Valuations of genetic test information for treatable conditions: the case of colorectal cancer screening

BACKGROUND

The value of the information that genetic testing services provide can be questioned for insurance-based health systems. The results of genetic tests oftentimes may not lead to well-defined clinical interventions; however, Lynch syndrome, a genetic mutation for which carriers are at an increased risk for colorectal cancer, can be identified through genetic testing, and meaningful health interventions are available via increased colonoscopic surveillance. Valuations of test information for such conditions ought to account for the full impact of interventions and contingent outcomes.

OBJECTIVES

To conduct a discrete-choice experiment to elicit individuals' preferences for genetic test information.

METHODS

A Web-enabled discrete-choice experiment survey was administered to a representative sample of US residents aged 50 years and older. In addition to specifying expenditures on colonoscopies, respondents were asked to make a series of nine selections between two hypothetical genetic tests or a no-test option under the premise that a relative had Lynch syndrome. The hypothetical genetic tests were defined by the probability of developing colorectal cancer, the probability of a false-negative test result, privacy of the result, and out-of-pocket cost. A model specification identifying necessary interactions was derived from assumptions of risk behavior and the decision context and was estimated using random-parameters logit.

RESULTS

A total of 650 respondents were contacted, and 385 completed the survey. The monetary equivalent of test information was approximately $1800. Expenditures on colonoscopies to reduce mortality risks affected valuations. Respondents with lower income or who reported being employed significantly valued genetic tests more.

CONCLUSION

Genetic testing may confer benefits through the impact of subsequent interventions on private individuals.

Is it cost-effective to use a test to decide which individuals with an intermediate cardiovascular disease risk would benefit from statin treatment?

BACKGROUND

The 2012 European guidelines recommend statins for intermediate-risk individuals with elevated cholesterol levels. Improved discrimination of intermediate-risk individuals is needed to prevent both cardiovascular disease (CVD) and statin side-effects (e.g. myopathy) efficiently since only 3-15 in every 100 individuals actually experience a cardiovascular event in the next 10 years. We estimated the potential cost-effectiveness of a hypothetical test which helps to determine which individuals will benefit from statins.

METHODS AND RESULTS

Prognosis of different age- and gender-specific cohorts with an intermediate risk was simulated with a Markov model to estimate the potential costs and quality-adjusted life-years for four strategies: treat all with statins, treat none with statins, treat according to the European guidelines, or use a test to select individuals for statin treatment. The test-first strategy dominated the other strategies if the hypothetical test was 100% accurate and cost no more than €237. This strategy and the treat-all strategy were equally effective but the test generated lower costs by reducing statin usage and side-effects. The treat-none strategy was the least effective strategy. Threshold analyses show that the test must be highly accurate (especially sensitive) and inexpensive to be the most cost-effective strategy, since myopathy has a negligible impact on cost-effectiveness and statin costs are low.

CONCLUSION

Use of a highly accurate prognostic test could reduce overall CVD risk, frequency of drug side-effects and lifetime costs. However, no additional test would add usefully to risk prediction over SCORE when it does not satisfy the costs and accuracy requirements.

Health technology assessment and personalized medicine: are economic evaluation guidelines sufficient to support decision making?

BACKGROUND

Many jurisdictions delivering health care, including Canada, have developed guidance for conducting economic evaluation, often in the service of larger health technology assessment (HTA) and reimbursement processes. Like any health intervention, personalized medical (PM) interventions have costs and consequences that must be considered by reimbursement authorities with limited resources. However, current approaches to economic evaluation to support decision making have been largely developed from population-based approaches to therapy-that is, evaluating the costs and consequences of single interventions across single populations. This raises the issue as to whether these methods, as they are or more refined, are adequate to address more targeted approaches to therapy, or whether a new paradigm for assessing value in PM is required.

OBJECTIVES

We describe specific issues relevant to the economic evaluation of diagnostics-based PM and assess whether current guidance for economic evaluation is sufficient to support decision making for PM interventions.

METHODS

Issues were identified through literature review and informal interviews with national and international experts (n = 10) in these analyses. This article elaborates on findings and discussion at a workshop held in Ottawa, Canada, in January 2012.

RESULTS

Specific issues related to better guiding economic evaluation of personalized medicine interventions include: how study questions are developed, populations are characterized, comparators are defined, effectiveness is evaluated, outcomes are valued and how resources are measured. Diagnostics-based PM also highlights the need for analyses outside of economic evaluation to support decision making.

CONCLUSIONS

The consensus of this group of experts is that the economic evaluation of diagnostics-based PM may not require a new paradigm. However, greater complexity means that existing approaches and tools may require improvement to undertake these more analyses.

Willingness to pay for diagnostic technologies: a review of the contingent valuation literature

OBJECTIVES

To understand how people value information from diagnostic technologies, we reviewed and analyzed published willingness-to-pay (WTP) studies on the topic.

METHODS

We searched PubMed for English-language articles related to WTP for diagnostic laboratory tests published from 1985 through 2011. We characterized methodological differences across studies, examined individual- and technology-level factors associated with WTP, and summarized median WTP values across different diagnostic tests.

RESULTS

We identified 66 relevant WTP studies. Half focused on oncology, while others analyzed infectious diseases (n = 11, 16.1%) and obstetric or gynecological conditions (n = 8, 11.7%), among others. Most laboratory tests included in studies were biological samples/genetic testing (n = 44, 61.1%) or imaging tests (n = 23, 31.9%). Approximately one third of the analyses (n = 20, 30.3%) used discrete-choice questions to elicit WTP values. Higher income, education, disease severity, perceived disease risk, family history, and more accurate tests were in general associated with higher WTP values for diagnostic information. Of the 44 studies with median WTP values available, most reported a median WTP value below $100. The median WTP value for colon or colorectal cancer screening ranged from below $100 to over $1000.

CONCLUSIONS

The contingent valuation literature in diagnostics has grown rapidly, and suggests that many respondents place considerable value on diagnostic information. There exists, however, great variation in studies with respect to the type of technologies and diseases assessed, respondent characteristics, and study methodology. The perceived value of diagnostic technologies is also influenced by the study design and elicitation methods.

Valuing the benefits of genetic testing for retinitis pigmentosa: a pilot application of the contingent valuation method

BACKGROUND

Technological advances present an opportunity for more people with, or at risk of, developing retinitis pigmentosa (RP) to be offered genetic testing. Valuation of these tests using current evaluative frameworks is problematic since benefits may be derived from diagnostic information rather than improvements in health. This pilot study aimed to explore if contingent valuation method (CVM) can be used to value the benefits of genetic testing for RP.

METHODS

CVM was used to elicit willingness-to-pay (WTP) values for (1) genetic counselling and (2) genetic counselling with genetic testing. Telephone and face-to-face interviews with a purposive sample of individuals with (n=25), and without (n=27), prior experience of RP were used to explore the feasibility and validity of CVM in this context.

RESULTS

Faced with a hypothetical scenario, the majority of participants stated that they would seek genetic counselling and testing in the context of RP. Between participant groups, respondents offered similar justifications for stated WTP values. Overall stated WTP was higher for genetic counselling plus testing (median=£524.00) compared with counselling alone (median=£224.50). Between-group differences in stated WTP were statistically significant; participants with prior knowledge of the condition were willing to pay more for genetic ophthalmology services.

CONCLUSIONS

Participants were able to attach a monetary value to the perceived potential benefit that genetic testing offered regardless of prior experience of the condition. This exploratory work represents an important step towards evaluating these services using formal cost-benefit analysis.

Diagnosing Alzheimer's disease: a systematic review of economic evaluations

BACKGROUND

The objective of this study is to systematically review the literature on economic evaluations of interventions for the early diagnosis of Alzheimer's disease (AD) and related disorders and to describe their general and methodological characteristics. We focused on the diagnostic aspects of the decision models to assess the applicability of existing decision models for the evaluation of the recently revised diagnostic research criteria for AD.

METHODS

PubMed and the National Institute for Health Research Economic Evaluation database were searched for English-language publications related to economic evaluations on diagnostic technologies. Trial-based economic evaluations were assessed using the Consensus on Health Economic Criteria list. Modeling studies were assessed using the framework for quality assessment of decision-analytic models.

RESULTS

The search retrieved 2109 items, from which eight decision-analytic modeling studies and one trial-based economic evaluation met all eligibility criteria.

CONCLUSIONS

Diversity among the study objective and characteristics was considerable and, despite considerable methodological quality, several flaws were indicated. Recommendations were focused on diagnostic aspects and the applicability of existing models for the evaluation of recently revised diagnostic research criteria for AD.

Impact of a multi-biomarker disease activity test on rheumatoid arthritis treatment decisions and therapy use

OBJECTIVE

To assess how use of a multi-biomarker disease activity (MBDA) blood test for rheumatoid arthritis (RA) affects treatment decisions made by health care providers (HCPs) in clinical practice.

RESEARCH DESIGN AND METHODS

At routine office visits, 101 patients with RA were assessed by their HCPs (N = 6), and they provided blood samples for MBDA testing. HCPs completed surveys before and after viewing the MBDA test result, recording dosage and frequency for all planned RA medications and physician global assessment of disease activity. Frequency and types of change in treatment plan that resulted from viewing the MBDA test result were determined.

MAIN OUTCOME MEASURE

Percentage of cases in which the HCP changed the planned treatment after viewing the MBDA test result.

RESULTS

Prior to HCP review of the MBDA test, disease modifying anti-rheumatic drug (DMARD) use by the 101 patients included methotrexate in 62% of patients; hydroxychloroquine 29%; TNF inhibitor 42%; non-TNF inhibitor biologic agent 19%; and other drugs at lower frequencies. Review of MBDA test results changed HCP treatment decisions in 38 cases (38%), of which 18 involved starting, discontinuing or switching a biologic or non-biologic DMARD. Other changes involved drug dosage, frequency or route of administration. The total frequency of use of the major classes of drug therapy changed by <5%. Treatment plans changed 63% of the time when the MBDA test result was perceived as being not consistent or somewhat consistent with the HCP assessment of disease activity.

STUDY LIMITATIONS

Limited sample size; lack of control group; no longitudinal follow-up.

CONCLUSIONS

The addition of the MBDA test to clinical assessment led to meaningful changes in the treatment plans of 38% of RA patients being cared for by HCPs in office practice. Even though treatment was potentially improved, the overall quantity of drug use was minimally affected.

Can and should value-based pricing be applied to molecular diagnostics?

Current pricing and reimbursement systems for diagnostics are not efficient. Prices for diagnostics are often driven by administrative practices and expected production cost. The purpose of the paper is to discuss how a value-based pricing framework being used to ensure efficient use and price of medicines could also be applied to diagnostics. Diagnostics not only facilitates health gain and cost savings, but also information to guide patients' decisions on interventions and their future 'behaviors'. For value assessment processes we recommend a two-part approach. Companion diagnostics introduced at the launch of the drug should be assessed through new drug assessment processes considering a broad range of value elements and a balanced analysis of diagnostic impacts. A separate diagnostic-dedicated committee using value-based pricing principles should review other diagnostics lying outside the companion diagnostics-and-drug 'at-launch' situation.

Economic evaluations conducted for assessment of genetic testing technologies: a systematic review

AIMS

To systematically review the methods used in economic evaluations (EEs) included in health technology assessments (HTAs) of genetic testing technologies (GTTs).

METHODS

A systematic search using bibliographic databases and gray literature was undertaken to identify HTA reports on GTTs that included EEs in addition to clinical effectiveness results. Studies were reviewed in terms of methodology and reporting.

RESULTS

Of 361 identified citations, 15 HTAs consisting of 11 model-based and 4 trial-based EEs were included, more than 50% of which had moderate-to-low-quality scores mainly due to not reporting information on basic elements of a standard EE and inadequate management of uncertainty. Cost-effectiveness analysis accounted for 62% of studies. Approximately 66% of the studies adopted a third-party payer perspective, and 46% used a lifelong time horizon. The majority of studies exclusively included technical costs of testing (100%) and therapeutic or preventive interventions (60%). The most frequent variables tested in sensitivity analysis included costs (66%), effects (50%), and transition probabilities (58%).

CONCLUSIONS

We found several methodological challenges in the reviewed EEs, including identification of a proper analytical perspective, inclusion of wider range of outcomes and costs, allowing for long-term medical and nonmedical impacts of genetic tests, and sufficient management of uncertainty. These issues should be carefully considered in future EEs of GTTs.

Toward evidence-based decisions in diagnostic radiology: a research and rating process for multiple decision-makers

The use of diagnostic imaging tests and the development of evidence-based guidelines, reviews, and other materials have both undergone substantial growth in recent years. However, the proliferation of evidence-based information has not translated into the universal deployment of medical and coverage policy for diagnostic imaging that is similarly evidence-based. One possible reason is the failure of those institutions generating evidence-based information to format findings in an accessible manner for all relevant stakeholders. The Institute for Clinical and Economic Review has developed a simple and transparent method for rating evidence that is accessible to clinicians, patients, payers, and other policy makers. The authors describe this process in relation to three imaging-based examples (computed tomographic colonography, coronary computed tomographic angiography, and positron emission tomography for dementia neuropathology). The issues raised, controversies considered, and use of the ratings in setting policy are discussed in relation to each example.

Accuracy, risk and the intrinsic value of diagnostic imaging: a review of the cost-utility literature

RATIONALE AND OBJECTIVES

The aim of this study was to systematically review the reporting of the value of imaging unrelated to treatment consequences and test characteristics in all imaging-related published cost-utility analyses (CUAs) in the medical literature.

MATERIALS AND METHODS

All CUAs published between 1976 and 2008 evaluating diagnostic imaging technologies contained in the CEA Registry, a publicly available comprehensive database of health related CUAs, were screened. Publication characteristics, imaging modality, and the inclusion of test characteristics including accuracy, costs, risks, and the potential value unrelated to treatment consequences (eg, reassurance or anxiety) were assessed.

RESULTS

Ninety-six published CUAs evaluating 155 different imaging technologies were included in the final sample; 27 studies were published in imaging-specialized journals. Fifty-two studies (54%) evaluated the performance of a single imaging modality, while 44 studies (46%) compared two or more different imaging modalities. The most common areas of interest were cardiovascular (45%) and neuroradiology (17%). Forty-two technologies (27%) concerned ultrasound, while 34 (22%) concerned magnetic resonance. Seventy-nine (51%) technologies used ionizing radiation. Test accuracy was reported or calculated for 90% (n = 133 and n = 5, respectively) and assumed perfect (reference test or gold-standard test without alternative testing strategy to capture false-negatives and false-positives) for 8% (n = 12) of technologies. Only 22 studies (23%) assessing 40 imaging technologies (26%) considered inconclusive or indeterminate results. The risk of testing was reported for 32 imaging technologies (21%). Fifteen studies (16%) considered the value of diagnostic imaging unrelated to treatment. Four studies incorporated it as quality-of-life adjustments, while 10 studies mentioned it only in their discussions or as a limitation.

CONCLUSIONS

The intrinsic value of imaging (the value of imaging unrelated to treatment) has not been appropriately defined or incorporated in the existing cost-utility literature, which could be due to a lack of evidence on the issue. Thus, more research is needed on metrics for a more comprehensive evaluation of diagnostic imaging. Similarly, the incorporation of variations in imaging tests accuracy, inconclusive results and associated risks has lacked uniformity in the cost-utility literature. Acknowledgment of these characteristics in future cost-utility publications will enhance their value and provide results that more closely resemble routine clinical practice.

Willingness-to-pay for predictive tests with no immediate treatment implications: a survey of US residents

We assessed how much, if anything, people would pay for a laboratory test that predicted their future disease status. A questionnaire was administered via an internet-based survey to a random sample of adult US respondents. Each respondent answered questions about two different scenarios, each of which specified: one of four randomly selected diseases (Alzheimer's, arthritis, breast cancer, or prostate cancer); an ex ante risk of developing the disease (randomly designated 10 or 25%); and test accuracy (randomly designated perfect or 'not perfectly accurate'). Willingness-to-pay (WTP) was elicited with a double-bounded, dichotomous-choice approach. Of 1463 respondents who completed the survey, most (70-88%, depending on the scenario) were inclined to take the test. Inclination to take the test was lower for Alzheimer's and higher for prostate cancer compared with arthritis, and rose somewhat with disease prevalence and for the perfect versus imperfect test [Correction made here after initial online publication.]. Median WTP varied from $109 for the imperfect arthritis test to $263 for the perfect prostate cancer test. Respondents' preferences for predictive testing, even in the absence of direct treatment consequences, reflected health and non-health related factors, and suggests that conventional cost-effectiveness analyses may underestimate the value of testing.

Cost-utility analyses of diagnostic laboratory tests: a systematic review

OBJECTIVE

To review and evaluate the literature of cost-utility analyses (CUAs) regarding diagnostic laboratory testing.

METHODS

We reviewed all articles related to diagnostic laboratory testing in the Tufts Medical Center Cost-Effectiveness Analysis Registry (www.cearegistry.org), which contains detailed information on over 2000 published CUAs through 2008. We analyzed the extent to which the studies adhered to recommended practices for conducting and reporting cost-effectiveness analyses. We also recorded whether the studies contained information on diagnostic test accuracy and costs, and whether any account was taken of potential benefits or harms of testing that are unrelated to subsequent treatment, such as the reassurance value of testing.

RESULTS

We identified 141 published CUAs pertaining to diagnostic laboratory testing published through 2008 which contained 433 separate incremental cost-effectiveness ratios. Prior to 2000, there were only 20 CUAs published, but the number averaged 13.4 annually thereafter. Most studies focused on hematology/oncology (n = 42, 30%) and obstetrics/gynecology (n = 36, 26%) applications. Approximately 63% (n = 89) of studies clearly reported information about the accuracy of the test, but only 10% (n = 14) mentioned test safety or possible risks. A small number (n = 10, 7%) mentioned or considered the potential value or harm of testing unrelated to treatment consequences. Over 55% of the reported incremental cost-effectiveness ratios (ICERs) were either dominant (more quality-adjusted life years for less cost), or below $50,000 per quality-adjusted life years gained (in 2008 US dollars).

CONCLUSION

The number of CUAs investigating laboratory diagnostic testing has increased substantially with applications to diverse clinical areas. The literature reveals many areas in which testing represents good value for money. The vast majority of studies have not considered preferences for test information unrelated to treatment consequences.