A Framework to Prioritise Health Research Proposals for Funding: Integrating Value for Money

© 2019, Springer Nature Switzerland AG. When making funding decisions, research organisations largely consider the merits (e.g. scientific rigour and feasibility) of submitted research proposals; yet, there is often little or no reference to their value for money. This may be attributed to the challenges of assessing and integrating value of research into existing research prioritisation processes. We propose a framework that considers both the merits of research and its value for money to guide health research funding decisions. A practical framework is developed based on current processes followed by funding organizations for assessing investigator-initiated research proposals, and analytical methods for evaluating the expected value of research. We apply the analytical methods to estimate the expected return on investment of two real-world grant applications. The framework comprises four sequential steps: (1) initial screening of applications for eligibility and completeness; (2) merit assessment of eligible proposals; (3) estimating the expected value of research for the shortlisted proposals that pass the first two steps and ranking of proposals based on return on investment; and (4) selecting research proposals for funding. We demonstrate how the expected value for money can be efficiently estimated using certain information provided in funding applications. The proposed framework integrates value-for-money assessment into the existing research prioritisation processes. Considering value for money to inform research funding decisions is vital to achieve efficient utilisation of research budgets and maximise returns on research investments

Developing a cerebral palsy-specific preference-based measure for a six-dimensional classification system (CP-6D): protocol for a valuation study.

INTRODUCTION: Cerebral palsy (CP) is a lifelong condition. The CP quality of life (CPQOL) instrument is a frequently used disease-specific instrument to assess health-related quality of life (HRQoL) in people with CP, but it cannot be used to generate quality-adjusted life years (QALY) which are the basis of cost utility analysis (CUA). Generic utility instruments (such as the EQ-5D or SF-6D) that are used to value HRQOL may be insensitive to small but important health changes in children with CP. This study aims to generate a preference-based scoring algorithm for the CP six dimensions (CP-6D), a classification system developed from the CPQOL. METHODS AND ANALYSIS: A discrete choice experiment with duration (DCEtto) will be administrated to value health states described by the CP-6D classification system. These health states will be presented to members of Australian general population and parents of children with CP via an online survey. Conditional logit regression will be used to produce the utility algorithm for CP-6D. ETHICS AND DISSEMINATION: The Griffith University Human Research Ethics Committee approved for the study (reference HREC/number 2018/913). The developed algorithm can be applied to previous and future economic evaluation of interventions and treatments targeting people with CP which have used either the CPQOL or CP-6D

Valuation study for a preference-based quality of life measure for dental caries (Dental Caries Utility Index - DCUI) among Australian adolescents - study protocol.

IntroductionA new health state classification system has been developed for dental caries - Dental Caries Utility Index (DCUI) to facilitate the assessment of oral health interventions in the cost-utility analysis (CUA). This paper reports the protocol for a valuation study, which aims to generate a preference-based algorithm for the classification system for the DCUI.Methods and analysisDiscrete choice experiments (DCEs) will be conducted to value health states generated by the DCUI classification system and preferences for these health states will be modelled to develop a utility algorithm. DCEs produce utility values on a latent scale and these values will be anchored into the full health-dead scale to calculate the quality-adjusted life years in CUA. There is no previous evidence for the most suitable anchoring method for dental caries health state valuation. Hence, we will first conduct pilot studies with two anchoring approaches; DCE including duration attribute and DCE anchoring to worst heath state in Visual Analogue Scale. Based on the pilot studies, the most suitable anchoring method among two approaches will be used in the main valuation survey, which will be conducted as an online survey among a representative sample of 2000 adults from the Australian general population. Participants will be asked to complete a set of DCE choice tasks along with anchoring tasks, basic social-demographic questions, DCUI, a generic preference-based measure and oral health quality of life instrument.Ethics and disseminationEthical approval for this study was obtained from the Human Research Ethics Committee, Griffith University (reference number HREC/2019/550). The generated algorithm will facilitate the use of the new dental caries preference-based measure in economic evaluations of oral health interventions. The results will be disseminated through journal articles and professional conferences

Recommendations from Two Citizens’ Juries on the Surgical Management of Obesity

Background: It is important that guidelines and criteria used to prioritise access to bariatric surgery are informed by the values of the tax-paying public in combination with the expertise of healthcare professionals. Citizens’ juries are increasingly used around the world to engage the public in healthcare decision-making. This study investigated citizens’ juries about prioritising patient access to bariatric surgery in two Australian cities. Objectives: The objective of this study is to examine public priorities for government expenditure on the surgical management of obesity developed through either a one or three-day citizen jury. Subjects/Methods: A three-day jury was held in Brisbane and a one-day jury in Adelaide. Jurors were selected in Brisbane (n = 18) and in Adelaide (n = 12) according to pre-specified criteria. Expert witnesses from various medical disciplines and consumers were cross-examined by jurors. Results: The verdicts of the juries were similar in that both juries agreed bariatric surgery was an important option in the management of obesity and related comorbidities. Recommendations about who should receive treatment differed slightly across the juries. Both juries rejected the use of age as a rationing tool, but managed their objections in different ways. Participants’ experiences of the jury process were positive, but our observations suggested that many variables may influence the nature of the final verdict. Conclusions: Citizen’s juries, even when shorter in duration, can be an effective tool to guide the development of health policy and priorities. However, our study has identified a range of variables that should be considered when designing and running a jury and when interpreting the verdict

Economic evaluation strategies in telehealth: obtaining a more holistic valuation of telehealth interventions

Telehealth is an emerging area of medical research. Its translation from conception, to research and into practice requires tailored research and economic evaluation methods. Due to their nature telehealth interventions exhibit a number of extra-clinical benefits that are relevant when valuing their costs and outcomes. By incorporating methods to measure societal values such as patient preference and willingness-to-pay, a more holistic value can be placed on the extra-clinical outcomes associated with telehealth and evaluations can represent new interventions more effectively. Cost-benefit analysis is a method by which relevant costs and outcomes in telehealth can be succinctly valued and compared. When health economic methods are conducted using holistic approaches such as cost-benefit analysis they can facilitate the translation of telehealth research into policy and practice

Long-term cost-effectiveness of a disease management program for patients with atrial fibrillation compared to standard care–a multi-state survival model based on a randomized controlled trial

Aim: To assess the long-term cost-effectiveness of an atrial fibrillation disease management program (i.e. the SAFETY program) from the Australian healthcare system perspective. Methods: A multistate Markov model was developed based on patient-level data from the SAFETY randomized controlled trial. Predicted long-term survival, dependent on hospital admission history, was estimated by extrapolating parametric survival models. Quality-adjusted life years (QALY) and life years (LY) were the primary and secondary outcome measures used to estimate the incremental cost-utility/effectiveness ratio (ICUR/ICER). Both deterministic and probabilistic sensitivity analyses (PSA) were undertaken. Results: The SAFETY program was associated with both higher costs ($94,953 vs.$78,433) and benefits [QALY (3.99 vs 3.60); LY (5.86 vs 5.24)], with an ICUR of $42,513/QALY or ICER of$26,356/LY, compared to standard care. Due to the extended survival, the SAFETY was associated with a greater number of hospitalizations (14.85 vs 11.65) and higher costs for medications ($25,084 vs$22,402) and outpatient care ($12,904 vs$11,524). The cost per hospitalization for an average length of stay, analytical time horizon, and cost of medication are key determinants of ICUR. The PSA showed that the intervention has a 70.4% probability of being cost-effective at a threshold of $50,000/QALY. Conclusions: The SAFETY program has a high probability of being cost-effective for patients with atrial fibrillation. It is associated with uncertainty that further research could potentially eliminate; implementation with further evidence collection is recommended.Lan Gao, Paul Scuffham, Jocasta Ball, Simon Stewart and Joshua Byrne

Feasibility of Image Reconstruction from Triple Modality Data of Yttrium-90

The recent implementation of the first clinical triple modality scanner in STIR enables investigation of the possibility of triple modality image reconstruction. Such a tool represents an important step toward the improvement of dosimetry for theranostics, where the exploitation of multi-modality imaging can have an impact on treatment planning and follow-up. To give a demonstration of triple modality image reconstruction we used data from a NEMA phantom that was filled with Yttrium-90 (90Y), which emits Bremsstrahlung photons detectable with SPECT as well as gamma rays that can go through pair production, therefore creating positrons that make PET acquisition possible. The data were acquired with the Mediso AnyScan SPECT/PET/CT. Different ways of including multiple side information using the kernelised expectation maximisation (KEM) and the Hybrid KEM (HKEM) were used and investigated in terms of ROI activity and noise suppression. This work presents an example of application with 90Y but it can be extended to any other radionuclide combination used in Theranostic applications

EQ-5D-3L Derived Population Norms for Health Related Quality of Life in Sri Lanka

Background Health Related Quality of Life (HRQoL) is an important outcome measure in health economic evaluation that guides health resource allocations. Population norms for HRQoL are an essential ingredient in health economics and in the evaluation of population health. The aim of this study was to produce EQ-5D-3L-derived population norms for Sri Lanka. Method A population sample (n =  780) was selected from four districts of Sri Lanka. A stratified cluster sampling approach with probability proportionate to size was employed. Twenty six clusters of 30 participants each were selected; each participant completed the EQ-5D-3L in a face-to-face interview. Utility weights for their EQ-5D-3L health states were assigned using the Sri Lankan EQ-5D-3L algorithm. The population norms are reported by age and socio-economic variables. Results The EQ-5D-3L was completed by 736 people, representing a 94% response rate. Sixty per cent of the sample reported being in full health. The percentage of people responding to any problems in the five EQ-5D-3L dimensions increased with age. The mean EQ-5D-3L weight was 0.85 (SD 0.008; 95%CI 0.84-0.87). The mean EQ-5D-3L weight was significantly associated with age, housing type, disease experience and religiosity. People above 70 years of age were 7.5 times more likely to report mobility problems and 3.7 times more likely to report pain/discomfort than those aged 18-29 years. Those with a tertiary education were five times less likely to report any HRQoL problems than those without a tertiary education. A person living in a shanty was 4.3 more likely to have problems in usual activities than a person living in a single house. Conclusion The population norms in Sri Lanka vary with socio-demographic characteristics. The socioeconomically disadvantaged have a lower HRQoL. The trends of population norms observed in this lower middle income country were generally similar to those previously reported in high income countries