Inform Resource Allocation Decisions Research Articles

Supply-Side Cost-Effectiveness Thresholds: Questions for Evidence-Based Policy.

There is growing interest in cost-effectiveness thresholds as a tool to inform resource allocation decisions in health care. Studies from several countries have sought to estimate health system opportunity costs, which supply-side cost-effectiveness thresholds are intended to represent. In this paper, we consider the role of empirical estimates of supply-side thresholds in policy-making. Recent studies estimate the cost per unit of health based on average displacement or outcome elasticity. We distinguish the types of point estimates reported in empirical work, including marginal productivity, average displacement, and outcome elasticity. Using this classification, we summarise the limitations of current approaches to threshold estimation in terms of theory, methods, and data. We highlight the questions that arise from alternative interpretations of thresholds and provide recommendations to policymakers seeking to use a supply-side threshold where the evidence base is emerging or incomplete. We recommend that: (1) policymakers must clearly define the scope of the application of a threshold, and the theoretical basis for empirical estimates should be consistent with that scope; (2) a process for the assessment of new evidence and for determining changes in the threshold to be applied in policy-making should be created; (3) decision-making processes should retain flexibility in the application of a threshold; and (4) policymakers should provide support for decision-makers relating to the use of thresholds and the implementation of decisions stemming from their application.

Cost-effectiveness of orthodontics: a systematic review.

Health economic evaluation is a methodology to maximize health benefits and minimize opportunity costs and is of increasing importance in informing resource allocation decisions in healthcare. This systematic review aims to assess the availability and quality of economic evaluations of any orthodontic interventions and summarize the conclusions of these studies. A thorough search of the literature was carried out including terms related to orthodontic interventions and economic evaluation between January 2000 and February 2022. MEDLINE, EMBASE, SCOPUS, Web of Science, NHS Economic Evaluation Database, and Cochrane were searched. Grey literature was searched and further hand-searching was performed on the reference lists of relevant systematic reviews. Studies on cleft lip and palate surgery and sleep apnoea were excluded due to the multi-disciplinary nature of these conditions which might alter the applicability of the result to orthodontic interventions. Two independent reviewers selected studies for inclusion. Data extraction was carried out through full text analysis of included studies by two authors. The quality of each study was assessed according to the Drummond 10-point Checklist and the National Institute for Health and Care Excellence (NICE) Quality Appraisal Checklist for Economic Evaluations. Characteristics and conclusions of included articles were descriptively summarized. Sixteen articles met inclusion criteria. Most of the included articles were trial-based studies, with only one model-based study. Orthodontic interventions assessed included crossbite correction, functional appliance treatment and orthognathic surgery. Most studies were carried out in Europe and specifically in Sweden. The quality of included studies was generally low with 69% of studies reported as having serious limitations according to the NICE Checklist. This review highlighted a lack of economic evaluations for orthodontic interventions, and limitations of existing economic evaluations. Recommendations on future research are provided. The protocol for the systematic review was registered on the NIHR Database (www.crd.york.ac.uk/prospero, CRD42021220419).

The Burden of Critical Illness in Hospitalized Children in Low- and Middle-Income Countries: Protocol for a Systematic Review and Meta-Analysis.

BackgroundThe majority of childhood deaths occur in low- and middle-income countries (LMICs). Many of these deaths are avoidable with basic critical care interventions. Quantifying the burden of pediatric critical illness in LMICs is essential for targeting interventions to reduce childhood mortality.ObjectiveTo determine the burden of hospitalization and mortality associated with acute pediatric critical illness in LMICs through a systematic review and meta-analysis of the literature.Data Sources and Search StrategyWe will identify eligible studies by searching MEDLINE, EMBASE, CINAHL, and LILACS using MeSH terms and keywords. Results will be limited to infants or children (ages >28 days to 12 years) hospitalized in LMICs and publications in English, Spanish, or French. Publications with non-original data (e.g., comments, editorials, letters, notes, conference materials) will be excluded.Study SelectionWe will include observational studies published since January 1, 2005, that meet all eligibility criteria and for which a full text can be located.Data ExtractionData extraction will include information related to study characteristics, hospital characteristics, underlying population characteristics, patient population characteristics, and outcomes.Data SynthesisWe will extract and report data on study, hospital, and patient characteristics; outcomes; and risk of bias. We will report the causes of admission and mortality by region, country income level, and age. We will report or calculate the case fatality rate (CFR) for each diagnosis when data allow.ConclusionsBy understanding the burden of pediatric critical illness in LMICs, we can advocate for resources and inform resource allocation and investment decisions to improve the management and outcomes of children with acute pediatric critical illness in LMICs.

Estimating the Association Between Public Health Spending and Sexually Transmitted Disease Rates in the United States: A Systematic Review.

Public health spending is important for managing increases in sexually transmitted diseases (STDs) in the United States. Although previous studies suggest that a beneficial link exists between public health spending and changes in STD rates, there have been no systematic reviews synthesizing existing evidence regarding the association for STDs at the population level. The objective of this study was to synthesize evidence from studies that assessed the associations between general and STD-specific public health spending and STD rates. We conducted a systematic review using Ovid-Medline, EMBASE, CINAHL, Cochrane Library, Web of Science, and EconLit for relevant studies that examined the association between public health spending and gonorrhea, syphilis, chlamydia, and chancroid rates following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A total of 5 articles (2 regarding general public health spending and 3 regarding STD-specific public health spending) met our inclusion criteria. There was a significant decrease in gonorrhea, syphilis, chlamydia, and chancroid rates associated with increased public health spending. We also found that STD-specific public health spending has a greater effect on STD rates compared with general public health spending. Our review provides evidence that increases in general and STD-specific public health spending are associated with a reduction of STD rates. Such research regarding estimates of the impact of STD prevention spending can help policy makers identify priority funding areas and inform health resource allocation decisions.

Direct medical cost of bipolar disorder: Insights from the FACE-BD longitudinal cohort

BackgroundBipolar disorder (BD) is a severe chronic psychiatric disorder affecting 0.5 to 1% of the population worldwide. To date, most studies have estimated the cost of BD via information sourced from insurance claims with limited information on clinical characteristics and course of BD. The aims of this study are (i) to estimate the direct healthcare cost associated with BD and to identify contributing factors and (ii) to study the evolution of cost during a two-year follow-up period. MethodWe analyzed a sample of 1116 individuals with BD included in the Advanced Centers of Expertise in Bipolar Disorder cohort. We estimated the direct healthcare cost per year and per patient, and we identified the clinical features of patients with BD associated with higher direct healthcare costs. In a subsample of patients followed up for two years centers of expertise for BD, we studied the evolution of direct healthcare cost. ResultsThe average cost of bipolar disorder was € 6910 per year and per patient. Clinical features of BD, sociodemographic characteristics, and associated addiction were associated with higher direct healthcare costs. In the subsample of patients followed-up for two years, direct healthcare cost dropped by more than 50%, strongly suggesting the beneficial effect of specialized care organization. LimitationWe did not estimate indirect healthcare and intangible costs. ConclusionOur study investigates the cost of BD and its evolution in a deeply phenotyped longitudinal sample. Cost-utility and cost-effectiveness analyses are required to inform resource allocation decisions and to promote innovative healthcare organizations.

Simulation of sugar kelp (Saccharina latissima) breeding guided by practices to accelerate genetic gains.

Though Saccharina japonica cultivation has been established for many decades in East Asian countries, the domestication process of sugar kelp (Saccharina latissima) in the Northeast United States is still at its infancy. In this study, by using data from our breeding experience, we will demonstrate how obstacles for accelerated genetic gain can be assessed using simulation approaches that inform resource allocation decisions. Thus far, we have used 140 wild sporophytes that were sampled in 2018 from the northern Gulf of Maine to southern New England. From these sporophytes, we sampled gametophytes and made and evaluated over 600 progeny sporophytes from crosses among the gametophytes in 2019 and 2020. The biphasic life cycle of kelp gives a great advantage in selective breeding as we can potentially select both on the sporophytes and gametophytes. However, several obstacles exist, such as the amount of time it takes to complete a breeding cycle, the number of gametophytes that can be maintained in the laboratory, and whether positive selection can be conducted on farm-tested sporophytes. Using the Gulf of Maine population characteristics for heritability and effective population size, we simulated a founder population of 1,000 individuals and evaluated the impact of overcoming these obstacles on rate of genetic gain. Our results showed that key factors to improve current genetic gain rely mainly on our ability to induce reproduction of the best farm-tested sporophytes, and to accelerate the clonal vegetative growth of released gametophytes so that enough gametophyte biomass is ready for making crosses by the next growing season. Overcoming these challenges could improve rates of genetic gain more than 2-fold. Future research should focus on conditions favorable for inducing spring reproduction, and on increasing the amount of gametophyte tissue available in time to make fall crosses in the same year.

Methodological Approaches to Cost-Effectiveness Analysis in Saudi Arabia: What Can We Learn? A Systematic Review.

ObjectiveThe recent establishment of the health technology assessment (HTA) entity in the Kingdom of Saudi Arabia (KSA) has resulted in increased interest in economic evaluation. The aim of this study is to evaluate the technical approaches used in published economic evaluations and the limitations reported by the authors of the respective studies that could affect the ability to perform economic evaluations in the KSA.MethodsWe conducted a systematic literature review of published economic evaluations performed for the KSA over the past 10 years. An electronic literature search of the PubMed, EMBASE, and Cochrane databases was performed. A CHEERS checklist was used to assess the quality of reporting. Reported limitations were classified into domains including the definition of perspectives, identification of comparators, estimation of costs and resources, and use of the incremental cost-effectiveness ratio threshold.ResultsTwelve evaluations were identified; most involved cost-effectiveness analysis (92%). Missing and unclear data were found within the CHEERS criteria. Regardless of the perspective used, most described the perspective as an “institutional” perspective (70%) and almost half were reclassified by the current reviewer (42%). Most did not clearly state the comparator (83%), and published model comparators were commonly used (50%). Resource estimation was mostly performed by the authors of the respective studies (67%), and costs were mostly obtained from hospital institutional data (75%). The lack of an established threshold for the country-specific willingness to pay was observed in 50% of the analyses.ConclusionsEconomic evaluations from the KSA are limited. Capacity building and country-specific HTA guidelines could improve the quality of evaluations to better inform decision making.HighlightsEconomic analysis of health technology should follow standard guidelines. Unfortunately, these guides are often underutilized, and our findings identify considerable missing, not clearly stated, or incomplete data within the analyses, which can weaken the impact of the recommendations.The limitations reported by the authors of the respective studies emphasize the suboptimal quality of the reporting. A lack of data was frequently identified and resulted in using “institutional” practice as a major source of data input for the analyses.In light of the call for the establishment of an HTA entity in the KSA, framing a standard analytic approach when conducting economic evaluations will support HTA in informing resource allocation decisions. We hope that our findings highlight the need for country-specific guidance to improve practice and enhance future research.

Economics and Precision Medicine.

Introducing precision medicine strategies into routine practice will require robust economic evidence. Decision-makers need to understand the value of a precision medicine strategy compared with alternative ways to treat patients. This chapter describes health economic analysis techniques that are needed to generate this evidence. The value of any precision medicine strategy can be demonstrated early to inform evidence generation and improve the likelihood of translation into routine practice. Advances in health economic analysis techniques are also explained and their relevance to precision medicine is highlighted. Ensuring that constraints on delivery are resolved to increase uptake and implementation will improve the value of a new precision medicine strategy. Empirical methods to quantify stakeholders' preferences can be effective to inform the design of a precision medicine intervention or service delivery model. A range of techniques to generate relevant economic evidence are now available to support the development and translation of precision medicine into routine practice. This economic evidence is essential to inform resource allocation decisions and will enable patients to benefit from cost-effective precision medicine strategies in the future.

A model-based study to estimate the health and economic impact of health technology assessment in Thailand.

Health technology assessment (HTA) plays a central role in the coverage and reimbursement decision-making process for public health expenditure in many countries, including Thailand. However, there have been few attempts to quantitatively understand the benefits of using HTA to inform resource allocation decisions. The objective of this research was to simulate the expected net monetary benefit (NMB) from using HTA-based decision criteria compared to a first-come, first-served (FCFS) approach using data from Thailand. A previously published simulation model was adapted to the Thai context which aimed to simulate the impact of using different decision-making criteria to adopt or reject health technologies for public reimbursement. Specifically, the simulation model provides a quantitative comparison between an HTA-based funding rule and a counterfactual (FCFS) funding rule to make decisions on which health technologies should be funded. The primary output of the model was the NMB of using HTA-based decision criteria compared to the counterfactual approach. The HTA-based decision rule in the model involved measuring incremental cost-effectiveness ratios against a cost-effectiveness threshold. The counterfactual decision rule was a FCFS (random) selection of health technologies. The HTA-based decision rule was associated with a greater NMB compared to the counterfactual. In the investigated analyses, the NMB ranged from THB24,238 million (USD725 million) to THB759,328 million (USD22,719 million). HTA-based decisions led to fewer costs, superior health outcomes (more quality-adjusted life-years). The results support the hypothesis that HTA can provide health and economic benefits by improving the efficiency of resource allocation decision making.

Cost Evaluation of Minimally Invasive Tissue Sampling (MITS) Implementation in Low- and Middle-Income Countries.

BackgroundLow- and middle-income countries (LMICs) face disproportionately high mortality rates, yet the causes of death in LMICs are not robustly understood, limiting the effectiveness of interventions to reduce mortality. Minimally invasive tissue sampling (MITS) is a standardized postmortem examination method that holds promise for use in LMICs, where other approaches for determining cause of death are too costly or unacceptable. This study documents the costs associated with implementing the MITS procedure in LMICs from the healthcare provider perspective and aims to inform resource allocation decisions by public health decisionmakers.MethodsWe surveyed 4 sites in LMICs across Sub-Saharan Africa and South Asia with experience conducting MITS. Using a bottom-up costing approach, we collected direct costs of resources (labor and materials) to conduct MITS and the pre-implementation costs required to initiate MITS.ResultsInitial investments range widely yet represent a substantial cost to implement MITS and are determined by the existing infrastructure and needs of a site. The costs to conduct a single case range between $609 and $1028 per case and are driven by labor, sample testing, and MITS supplies costs.ConclusionsVariation in each site’s use of staff roles and testing protocols suggests sites conducting MITS may adapt use of resources based on available expertise, equipment, and surveillance objectives. This study is a first step toward necessary examinations of cost-effectiveness, which may provide insight into cost optimization and economic justification for the expansion of MITS.

Exploring Structural Uncertainty and Impact of Health State Utility Values on Lifetime Outcomes in Diabetes Economic Simulation Models: Findings from the Ninth Mount Hood Diabetes Quality-of-Life Challenge.

BackgroundStructural uncertainty can affect model-based economic simulation estimates and study conclusions. Unfortunately, unlike parameter uncertainty, relatively little is known about its magnitude of impact on life-years (LYs) and quality-adjusted life-years (QALYs) in modeling of diabetes. We leveraged the Mount Hood Diabetes Challenge Network, a biennial conference attended by international diabetes modeling groups, to assess structural uncertainty in simulating QALYs in type 2 diabetes simulation models.MethodsEleven type 2 diabetes simulation modeling groups participated in the 9th Mount Hood Diabetes Challenge. Modeling groups simulated 5 diabetes-related intervention profiles using predefined baseline characteristics and a standard utility value set for diabetes-related complications. LYs and QALYs were reported. Simulations were repeated using lower and upper limits of the 95% confidence intervals of utility inputs. Changes in LYs and QALYs from tested interventions were compared across models. Additional analyses were conducted postchallenge to investigate drivers of cross-model differences.ResultsSubstantial cross-model variability in incremental LYs and QALYs was observed, particularly for HbA1c and body mass index (BMI) intervention profiles. For a 0.5%-point permanent HbA1c reduction, LY gains ranged from 0.050 to 0.750. For a 1-unit permanent BMI reduction, incremental QALYs varied from a small decrease in QALYs (−0.024) to an increase of 0.203. Changes in utility values of health states had a much smaller impact (to the hundredth of a decimal place) on incremental QALYs. Microsimulation models were found to generate a mean of 3.41 more LYs than cohort simulation models (P = 0.049).ConclusionsVariations in utility values contribute to a lesser extent than uncertainty captured as structural uncertainty. These findings reinforce the importance of assessing structural uncertainty thoroughly because the choice of model (or models) can influence study results, which can serve as evidence for resource allocation decisions.HighlightsThe findings indicate substantial cross-model variability in QALY predictions for a standardized set of simulation scenarios and is considerably larger than within model variability to alternative health state utility values (e.g., lower and upper limits of the 95% confidence intervals of utility inputs).There is a need to understand and assess structural uncertainty, as the choice of model to inform resource allocation decisions can matter more than the choice of health state utility values.

Challenges in Using Recommended QualityofLife Measures to Assess Fluctuating Health: A Think-Aloud Study to Understand How Recall and Timing of Assessment Influence Patient Responses.

BackgroundIt can be challenging to measure quality of life to calculate quality-adjusted life-years in recurrent fluctuating health states, as quality of life can constantly change. It is not clear how patients who experience fluctuations complete measures and how assessment timing and recall influence responses.ObjectiveWe aimed to understand how patients with fluctuating health complete widely recommended and commonly used measures (EQ-5D-5L, EORTC QLQ-C30 and SF-12) and the extent to which the recall period (‘health today’, ‘past week’ and ‘past 4 weeks’) and timing of assessment influence the way that patients complete these questionnaires.MethodsTwenty-four adult patients undergoing chemotherapy for urological, gynaecological or bowel cancers in the UK participated in think-aloud interviews, while completing the measures, completed a pictorial task illustrating how quality of life changed during the chemotherapy cycle and took part in semi-structured interviews. Transcripts were analysed using constant comparison.ResultsPatients were consistent in describing their quality of life as changing considerably throughout a chemotherapy cycle. The shorter recall period of ‘health today’ does not adequately represent patients’ quality of life because of fluctuations, patients remarked they could give a different answer depending on the timing of assessment, and many struggled to combine the “ups and downs” to answer measures with longer recall (‘past week’ and ‘past 4 weeks’). Across all measures, patients attempted to provide averages, adopt the peak-end rule or focus on the best part of their experience. Patients commonly used more than one approach when completing a given questionnaire as well as across questionnaires.ConclusionsPatients who experience recurrent fluctuations in health are unable to provide meaningful responses about their quality of life when completing quality-of-life measures due to the recall period and timing of assessment. The use of such responses to calculate health state values in economic evaluations to inform resource allocation decisions in fluctuating conditions must be questioned.Supplementary InformationThe online version contains supplementary material available at 10.1007/s40271-021-00555-7.

Economic Evaluation of Long-Term Survivorship Care for Cancer Patients in OECD Countries: A Systematic Review for Decision-Makers.

Long-term cancer survivorship care is a crucial component of an efficient healthcare system. For numerous reasons, there has been an increase in the number of cancer survivors; therefore, healthcare decision-makers are tasked with balancing a finite budget with a strong demand for services. Decision-makers require clear and pragmatic interpretation of results to inform resource allocation decisions. For these reasons, the impact and importance of economic evidence are increasing. The aim of the current study was to conduct a systematic review of economic evaluations of long-term cancer survivorship care in Organization for Economic Co-operation and Development (OECD) member countries and to assess the usefulness of economic evidence for decision-makers. A systematic review of electronic databases, including MEDLINE, PubMed, PsycINFO and others, was conducted. The reporting quality of the included studies was appraised using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist. Each included study’s usefulness for decision-makers was assessed using an adapted version of a previously published approach. Overall, 3597 studies were screened, and of the 235 studies assessed for eligibility, 34 satisfied the pre-determined inclusion criteria. We found that the majority of the included studies had limited value for informing healthcare decision-making and conclude that this represents an ongoing issue in the field. We recommend that authors explicitly include a policy statement as part of their presentation of results.

Increase in Motor Vehicle Crash Severity: An Unforeseen Consequence of COVID-19.

IntroductionThe 2019 coronavirus (COVID-19) pandemic led to stay-at-home (SAH) orders in Pennsylvania targeted at reducing viral transmission. Limitations in population mobility under SAH have been associated with decreased motor vehicle collisions (MVC) and related injuries, but the impact of these measures on severity of injury remains unknown. The goal of this study is to measure the incidence, severity, and outcomes of MVC-related injuries associated with SAH in Pennsylvania.Materials & MethodsWe conducted a retrospective geospatial analysis of MVCs during the early COVID-19 pandemic using a state-wide trauma registry. We compared characteristics of patients with MVC-related injuries admitted to Pennsylvania trauma centers during SAH measures (March 21-July 31, 2020) with those from the corresponding periods in 2018 and 2019. We also compared incidence of MVCs for each zip code tabulation area (ZCTA) in Pennsylvania for the same time periods using geospatial mapping.ResultsOf 15,550 trauma patients treated during the SAH measures, 3486 (22.4%) resulted from MVCs. Compared to preceding years, MVC incidence decreased 10% under SAH measures with no change in mortality rate. However, in ZCTA where MVC incidence decreased, there was a 16% increase in MVC injury severity.ConclusionsStay-at-home orders issued in response to the COVID-19 pandemic in Pennsylvania were associated with significant changes in MVC incidence and severity. Identifying such changes may inform resource allocation decisions during future pandemics or SAH events.

How are mathematical models and results from mathematical models of vaccine-preventable diseases used, or not, by global health organisations?

While epidemiological and economic evidence has the potential to provide answers to questions, guide complex programmes and inform resource allocation decisions, how this evidence is used by global health organisations...

Informing the development of the Canadian Neurodiversity Platform: What is important to parents of children with neurodevelopmental disabilities?

A crowd-sourced Canadian platform that collects information across neurodevelopmental disabilities (NDDs) can (1) facilitate knowledge mobilization; (2) provide epidemiological data that can benefit knowledge, treatment, and advocacy; and (3) inform policy and resource allocation decisions. We obtained input from parents of children with NDDs about relevance and feasibility of questionnaire items as a first step to inform questionnaire development of a stakeholder-driven, national platform for data collection on children with NDDs. A parent of a teenager with NDDs was a research partner on the project. Through four focus groups and using a guided discussion consensus process, 16 participants provided feedback on whether questionnaire items from existing instruments related to function and disability were feasible for parents to complete and important to include in the platform. Data were analysed using content analysis. Participants (1) indicated that questions about medical history, general health, body functioning, self-care, access to resources, and outcomes (e.g., quality of life) are important to include in the platform and are feasible for self-completion; (2) provided various suggestions for the questionnaire ranging from additional items to include, using non-medical language, and keeping completion time from 20 to 30 min; (3) identified incentives and knowing the purpose of the platform as strong motivators to platform participation; (4) spoke about the challenges of their caregiver experience including impact of caregiving on themselves and barriers to accessing services; and (5) highlighted the isolation experienced by their children. Through the focus groups, parent stakeholders contributed to questionnaire development and shared their caregiver experiences. Obtaining feedback from youths with NDDs and healthcare providers on the questionnaire is a next step to validating findings. Stakeholder engagement is fundamental to developing a platform that will inform research that is relevant to the needs of children with NDDs and their families.

Development and Critical Evaluation of a Condition-Specific Preference-Based Measure Sensitive to Binaural Hearing in Adults: The York Binaural Hearing-Related Quality-of-Life System.

The widely-used generic preference-based measures of health-related quality of life-the EuroQol Descriptive System (EQ-5D) and the Health Utilities Index (HUI3)-are limited in their response to technologies that improve hearing. The EQ-5D lacks construct validity for hearing, while the HUI3 is restricted by a ceiling effect and by using speech reception as the only evidence of the ability to hear. Consequently, neither measure consistently registers benefits from binaural hearing, such as those from bilateral versus unilateral cochlear implantation. The objectives were to test whether informants value binaural hearing, to develop a condition-specific preference-based measure sensitive to binaural hearing, to assess the psychometric properties of the new instrument, and to determine whether it meets requirements for informing judgments of cost-effectiveness: does it measure greater gains than do the generic preference-based measures, while avoiding exaggerating losses, and displaying sensitivity to side effects? Three levels of function, ranging from no difficulty to great difficulty, were defined on each of three dimensions where listening is easier or more successful when hearing is binaural rather than monaural: perception of speech in spatially separated noise, localization of sounds, and effort and fatigue. Informants (N = 203) valued the 27 combinations of levels and dimensions in a time trade-off task with a 10-year time frame to provide a value of binaural-related quality of life ("binaural utility") for each combination. A questionnaire was compiled to allow respondents to report their level of function on each dimension so that a value of binaural utility could be assigned to them. The questionnaire and the age-standardized valuations constitute The York Binaural Hearing-Related Quality-of-Life System (YBHRQL). Adult users of unilateral implants (N = 8), bilateral implants (N = 11), or bimodal aiding (N = 9) undertook performance tests of spatial listening and completed the HUI3, EQ-5D, and Speech, Spatial, and Qualities of Hearing (SSQ) questionnaires. They completed the YBHRQL questionnaire 24 and 38 mo later. Despite long intervals between measurements, the YBHRQL demonstrated desirable psychometric properties: good construct validity evidenced by significant correlations with performance measures and the SSQ index; a greater ability than the EQ-5D or HUI3 to distinguish unilateral, bimodal, and bilateral listening; and good reproducibility. The YBHRQL did not exaggerate losses of utility but was insensitive to a potential side effect of implantation (pain/discomfort). It measured a gain in utility from bilateral compared with unilateral implantation (median = 0.11, interquartile range, 0.03 to 0.16) that was greater than the gain measured by the EQ-5D (0.00, 0.00 to 0.00) but not the HUI3 (0.00, 0.00 to 0.17). The YBHRQL summarizes the contribution of binaural hearing to quality of life by combining the functional status of a listener with the preferences of independent informants. It would be an efficient clinical outcome measure. In addition, if used alongside the EQ-5D or HUI3, it would provide evidence which could beneficially modulate confidence in the cost-effectiveness of interventions. Further research on its sensitivity to side effects, and on the size of the gains in utility which it measures, is needed to determine whether it could stand alone to inform resource-allocation decisions.

PIN69 How are mathematical models of vaccine preventable diseases used, or not, by decision makers at a global level?

International agencies play a prominent role in supporting countries with financial resources, capacities to strengthen health systems and the provision of guidelines. The understanding of how burden of disease and vaccine impact estimates (BDVIE) are used by decision-makers at a global level is limited. In this study, we aim to examine how those involved in modelling and commissioning BDVIE understand the use of evidence from mathematical models in informing resource allocation decisions at a global level.

UK general population willingness to pay for scale and polish, and detailed and personalized oral hygiene advice.

Understanding the value the general population place on dentistry services is important for policymakers to aide service planning. Willingness to pay (WTP) is an economic method used to elicit the value of a good or service. The aim of this study is to estimate United Kingdom (UK) general population WTP for commonly provided scale and polish, and detailed and personalized oral hygiene advice (OHA), and to investigate what factors influence WTP. Participants completed an online hypothetical WTP survey for scale and polish and detailed and personalized oral hygiene advice. The estimation sample consisted of 1405 participants, nationally representative of the UK general population in terms of age and sex. Regression analysis was used to estimate WTP and determine what factors are associated with WTP. Analyses were conducted including and excluding protest answers. The mean (SD) WTP for a scale and polish is £26.77 (£21.91) excluding protest answers and £24.80 (£22.71) for the full sample. The mean (SD) WTP for detailed and personalized OHA is £16.56 (£19.75) excluding protest answers and £12.77 (£22.28) for the full sample. Participants on higher incomes, private attenders and those who stated that maintaining clean and healthy gums was important had higher WTP for both services. Participants in Scotland and Northern Ireland were WTP less than their English counterparts, reflecting the different regional specific payment systems. The general UK population value scale and polish, and detailed and personalized OHA. This study provides estimates of WTP for these services which can be used to inform resource allocation decisions.

Public perspectives on health improvement within a remote-rural island community.

BackgroundRural health outcomes are often worse than their urban counterparts. While rural health theory recognizes the importance of the social determinants of health, there is a lack of insight into public perspectives for improving rural health beyond the provision of health‐care services. Gaining insight into perceived solutions, that include and go beyond health‐ care, can help to inform resource allocation decisions to improve rural health.ObjectiveTo identify and describe shared perspectives within a remote‐rural community on how to improve rural health.MethodUsing Q methodology, a set of 40 statements were developed representing different perceptions of how to improve rural health. Residents of one remote‐rural island community ranked this statement set according to their level of agreement. Card‐sorts were analysed using factor analysis to identify shared points of view and interpreted alongside post‐sort qualitative interviews.ResultsSixty‐two respondents participated in the study. Four shared perspectives were identified, labelled: Local economic activity; Protect and care for the community; Redistribution of resources; and Investing in people. Factors converged on the need to relieve poverty and ensure access to amenities and services.Discussion and conclusionsFactors represent different elements of a multifaceted theory of rural health, indicating that ‘lay’ respondents are capable of comprehending various approaches to health improvement and perspectives are not homogenous within rural communities. Respondents diverged on the role of individuals, the public sector and ‘empowered’ community‐based organizations in delivering these solutions, with implications for policy and practice.Public ContributionMembers of the public were involved in the development and piloting of the statement set.