A new tool for creating personal and social EQ-5D-5L value sets, including valuing 'dead'

Beyond 10-year lead-times in EQ-5D-5L: leveraging alternative lead-times in willingness-to-accept questions to capture preferences for worse-than-dead states and their implication

BACKGROUND

A fixed 10-year lead-time in composite time-trade-off (C-TTO) tasks might compromise the precision of utility values below - 1. This study explored how alternative lead-times (ALTs) influence EQ-5D-5L value sets and their implications in economic evaluations.

METHODS

Leveraging data from Taiwan's EQ-5D-5L valuation and capitalizing on its exploratory willingness-to-accept question, we explored participants' quantification of "worse-than-dead (WTD)" health states with ALTs up to 50 years. We then derived alternative value sets incorporating these ALTs through interval regression and compared them against those from conventional models. To evaluate their impact on health change valuation, we simulated utility differences for all possible EQ-5D-5L health-state-pairs using each value set.

RESULTS

With a salient floor effect observed in the C-TTO values, the model with ALT led to a wider range of predicted utilities ( - 2.3897 ~ 1), compared with those of conventional models (generalized least squares (GLS):  - 0.7773 ~ 1; Tobit-GLS:  - 0.9583 ~ 1). Compared to the Tobit-GLS model, the model with ALT increased the numerical distance in 80% of health-state-pairs, with 11% decreasing and 9% altering direction (e.g., positive to negative) in utility differences.

CONCLUSIONS

While ALTs offer insights into patient preferences, their integration into economic evaluations might require rescaling. Future research should prioritize advanced rescaling methods or enhanced elicitation strategies for populations with substantial censoring. This is pivotal for improving the elicitation of extreme WTD states and accurately discerning the relative distances between health states. Countries developing EQ-5D-5L value sets should consider pilot studies and incorporating region-specific questions on social determinants, especially where pronounced floor effects are suspected.

Creating an SF-6Dv2 social value set for New Zealand

The SF-6D health descriptive system and its second version published in 2020, the SF-6Dv2, is used worldwide for valuing health-related quality of life (HRQoL) for economic evaluation and measuring patient-reported health outcomes. In this study, a valuation tool was developed and applied to create a social value set, comprising 18,750 health state values, for the SF-6Dv2 for New Zealand (NZ). This tool was adapted and extended from the one used to create a social value set for the EQ-5D-5L, a simpler health descriptive system with fewer dimensions and health states. The tool implements the PAPRIKA method, a type of adaptive discrete choice experiment, and a binary search algorithm to identify health states worse than dead and has extensive data quality controls to ensure the validity and reliability of the social value set derived from participants' personal value sets. The tool, accompanied by a short introductory video designed specifically for the SF-6Dv2, was distributed via an online survey to a large representative sample of adult New Zealanders in June-July 2022. The tool's data quality controls enabled participants who failed to understand or sincerely engage with the valuation tasks to be identified and excluded, resulting in the participants being pared down to a sub-sample of 2985 'high-quality' participants whose personal value sets were averaged for the social value set. These results, including participants' positive feedback, demonstrate the feasibility and acceptability of using the tool to value larger health descriptive systems such as the SF-6Dv2. Having successfully created an SF-6Dv2 social value set for NZ, the valuation tool can be readily applied to other countries, used to generate personal value sets for personalised medicine and adapted to create value sets for other health descriptive systems.

Development of a Prioritization Framework to Aid Healthcare Funding Decision Making in Health Technology Assessment in Australia: Application of Multicriteria Decision Analysis

OBJECTIVES

This study develops a prioritization framework to aid healthcare funding decision making in health technology assessment (HTA) in Australia using a multiple criteria decision analysis (MCDA) approach.

METHODS

MCDA frameworks for HTAs were reviewed through literature survey to identify the initial criteria and levels within each criterion. Key stakeholders and experts were consulted to confirm these criteria and levels. A conjoint analysis using 1000Minds was undertaken with policy makers from the Department of Health to establish ranking criteria and weighting scores. Monte Carlo simulations were used to examine the sensitivity of findings to factors affecting the ranking and weighting scores. The MCDA was then applied to 6 examples of chronic care models or technologies projects to demonstrate the performance of this approach.

RESULTS

Five criteria (clinical efficacy/effectiveness, safety and tolerability, severity of the condition, quality/uncertainty, and direct impact on healthcare costs) were consistently ranked highest by healthcare decision makers. Among the criteria, patient-level health outcomes were considered the most important, followed by social and ethical values. The analyses were robust to inform the uncertainty in the parameter.

CONCLUSIONS

This study has developed an MCDA tool that effectively integrates key priorities for HTA reviews, reflecting the values and preferences of healthcare stakeholders in Australia. Although this tool aims to align the assessment process more closely with health benefits, it also highlights the importance of considering other criteria.

Generating Utilities for the Château-Santé Base: A Novel, Generic, and Patient-Centered Health-Outcome Measure

OBJECTIVES

We have developed a new patient-centered, preference-based generic health-outcome measure, Château-Santé Base (CS-Base), which is based on a novel multiattribute preference response (MAPR) measurement framework. This study aimed to generate a first utility set for the CS-Base, making it suitable for use in health-economic evaluations.

METHODS

CS-Base comprises 12 health attributes: mobility, vision, hearing, cognition, mood, anxiety, pain, fatigue, social functioning, daily activities, self-esteem, and independence, each with 4 levels. Our methodology to generate utilities for the CS-Base was 2-fold. First, we derived coefficients from patient MAPR data to calculate CS-Base values. Subsequently, these were normalized to a 0.0 to 1.0 utility scale, in which 0.0 signifies dead. The dead position was estimated using general population data from a discrete choice experiment (discrete choice experiment + dead), using a division-value strategy, which localize the position of states better or worse than dead.

RESULTS

We analyzed MAPR data from 3222 patients and discrete choice experiment + dead data from 1995 respondents. All MAPR coefficients were negative, logically ordered, and significantly different from the reference level. The dead position was denoted by a division value of -148.385. Utility values spanned from -0.071 to 1.0, and only 53 of 16 777 216 states were deemed worse than dead.

CONCLUSIONS

This study introduced the first CS-Base utility set, underlining a 2-step utility derivation method. This method, blending societal and patient views, surpasses traditional preference-based approaches, yielding firmer results. However, improvement of the normalization procedure is expected. Estimating CS-Base utilities is an ongoing process that gains precision over time.

Exploring health preference heterogeneity in the UK: Using the online elicitation of personal utility functions approach to construct EQ-5D-5L value functions on societal, group and individual level

A new method has recently been developed for valuing health states, called 'Online elicitation of Personal Utility Functions' (OPUF). In contrast to established methods, such as time trade-off or discrete choice experiments, OPUF does not require hundreds of respondents, but allows estimating utility functions for small groups and even at the individual level. In this study, we used OPUF to elicit EQ-5D-5L health state preferences from a (not representative) sample of the UK general population, and then compared utility functions on the societal-, group-, and individual level. A demo version of the survey is available at: https://eq5d5l.me. Data from 874 respondents were included in the analysis. For each respondent, we constructed a personal EQ-5D-5L value set. These personal value sets predicted respondents' choices in three hold-out discrete choice tasks with an accuracy of 78%. Overall, preferences varied greatly between individuals. However, PERMANOVA analysis showed that demographic characteristics explained only a small proportion of the variability between subgroups. While OPUF is still under development, it has important strengths: it can be used to construct value sets for patient reported outcome instruments such as EQ-5D-5L, while also allowing examination of underlying preferences in an unprecedented level of detail. In the future, OPUF could be used to complement existing methods, allowing valuation studies in smaller samples, and providing more detailed insights into the heterogeneity of preferences across subgroups.

Using the Online Elicitation of Personal Utility Functions Approach to Derive a Patient-Based 5-Level Version of EQ-5D Value Set: A Study in 122 Patients With Rheumatic Diseases From Germany

OBJECTIVES

Traditional preference elicitation methods, such as discrete choice experiments or time trade-off, usually require large sample sizes. This can limit their applicability in patient populations, where recruiting enough participants can be challenging. The objective of this study was to test a new method, called the Online elicitation of Personal Utility Functions (OPUF) approach, to derive an EQ-5D-5L value set from a relatively small sample of patients with rheumatic diseases.

METHODS

OPUF is a new type of online survey that implements compositional preference elicitation techniques. Central to the method are 3 valuation steps: (1) dimension weighting, (2) level rating, and (3) anchoring. An English demo version of the OPUF survey can be accessed at https://valorem.health/eq5d5l. From the responses, a personal EQ-5D-5L utility function can be constructed for each participant, and a group-level value set can be derived by aggregating model coefficients across participants.

RESULTS

A total of 122 patients with rheumatic disease from Germany completed the OPUF survey. The survey was generally well received; most participants completed the survey in less than 20 minutes and were able to derive a full EQ-5D-5L value set. The precision of mean coefficients was high, despite the small sample size.

CONCLUSIONS

Our findings demonstrate that OPUF can be used to derive an EQ-5D-5L value set from a relatively small sample of patients. Although the method is still under development, we think that it has the potential to be a valuable preference elicitation tool and to complement traditional methods in several areas.

Vaccine decision making in New Zealand: a discrete choice experiment

BACKGROUND

Vaccine hesitancy is a significant threat to global health. A key part of addressing hesitancy is to ensure that public health messaging prioritises information that is considered important to the public. This study aimed to examine how different vaccine characteristics affect public preferences for vaccines in New Zealand, what trade-offs they are willing to make between different vaccine characteristics, and how their preferences are affected by their vaccine-related conspiracy beliefs and COVID-19 vaccination status.

METHODS

An online discrete choice experiment (DCE) was designed to elicit individual preferences about vaccines using the 1000minds platform. Members of the general population of New Zealand aged ≥ 18 years were invited to complete the DCE. Participants were asked to indicate their preference between two options showing different combinations of vaccine characteristics. Data on sociodemographic characteristics were collected. Beliefs were measured using the vaccine conspiracy beliefs scale (VCBS) with scores ≥ 19 indicating strong vaccine-related conspiracy beliefs. The DCE was analysed using the PAPRIKA method (Potentially All Pairwise RanKings of all possible Alternatives) and preferences compared between respondents with high versus low VCBS scores and vaccinated versus unvaccinated respondents for COVID-19.

RESULTS

A total of 611 respondents from 15 regions completed the DCE. Mean (SD) age was 45.9 (14.7) years with most having had 2 or more doses of the coronavirus vaccine (86%). Mean (SD) VCBS score was 18.5 (12.4) indicating moderate vaccine-related conspiracy beliefs. Risk of severe adverse effects was the most highly valued vaccine characteristic, followed by vaccine effectiveness and duration of protection. Vaccine origin and route of administration were ranked least important. Respondents scoring high on the VCBS placed less value on the effectiveness of vaccines but greater value on development time and total number of doses (p < 0.001). COVID-19 unvaccinated respondents ranked development time and total number of doses more highly than those vaccinated respondents (p < 0.001).

CONCLUSIONS

Risk of severe adverse effects, vaccine effectiveness and duration of protection were rated by the New Zealand public as the top three most important vaccine characteristics. This information is important for informing public health messaging to promote vaccine uptake and inform vaccine decision-making.

Preferences as fairness judgments: a critical review of normative frameworks of preference elicitation and development of an alternative based on constitutional economics

Preference elicitation is widely used within health economic evaluations to inform coverage decisions. However, coverage decisions involve questions of social justice and it is unclear what role empirical evidence about preferences can play here. This study reviews the prevalent normative frameworks for using population-based preference elicitation and the criticisms they face, and proposes an alternative based on constitutional economics. The frameworks reviewed include a supposedly value-neutral framework of preferences as predictors of choice, preference utilitarian frameworks that aim to maximize preference satisfaction, and substantive consequentialist frameworks that aim to maximize happiness, health, or capabilities. The proposed alternative implements the idea that indices of social value are tools for conflict resolution, rather than tools for maximization. Preference elicitation is used for validating values generated by multi-criteria decision analysis results within representative processes of stakeholder deliberation.

Embedding stakeholder preferences in setting priorities for health research: Using a discrete choice experiment to develop a multi-criteria tool for evaluating research proposals

We determined weights for a multi-criteria tool for assessing the relative merits of clinical-trial research proposals, and investigated whether the weights vary across relevant stakeholder groups. A cross-sectional, adaptive discrete choice experiment using 1000minds online software was administered to consumers, researchers and funders affiliated with the Australian Clinical Trials Alliance (ACTA). We identified weights for four criteria-Appropriateness, Significance, Relevance, Feasibility-and their levels, representing their relative importance, so that research proposals can be scored between 0% (nil or very low merit) and 100% (very high merit). From 220 complete survey responses, the most important criterion was Appropriateness (adjusted for differences between stakeholder groups, mean weight 28.9%) and the least important was Feasibility (adjusted mean weight 19.5%). Consumers tended to weight Relevance more highly (2.7% points difference) and Feasibility less highly (3.1% points difference) than researchers. The research or grant writing experience of researchers or consumers was not associated with the weights. A multi-criteria tool for evaluating research proposals that reflects stakeholders' preferences was created. The tool can be used to assess the relative merits of clinical trial research proposals and rank them, to help identify the best proposals for funding.

Reducing the burden of knee osteoarthritis through community pharmacy: Protocol for a randomised controlled trial of the Knee Care for Arthritis through Pharmacy Service

INTRODUCTION

Knee osteoarthritis (OA) negatively impacts the health outcomes and equity, social and employment participation, and socio-economic wellbeing of those affected. Little community-based support is offered to people with knee OA in Aotearoa New Zealand. Identifying Māori and non-Māori with knee OA in community pharmacy and providing co-ordinated, evidence- and community-based care may be a scalable, sustainable, equitable, effective and cost-effective approach to improve health and wellbeing.

AIM

Assess whether the Knee Care for Arthritis through Pharmacy Service (KneeCAPS) intervention improves knee-related physical function and pain (co-primary outcomes). Secondary aims assess impacts on health-related quality of life, employment participation, medication use, secondary health care utilisation, and relative effectiveness for Māori.

METHODS AND ANALYSIS

A pragmatic randomised controlled trial will compare the KneeCAPS intervention to the Pharmaceutical Society of New Zealand Arthritis Fact Sheet and usual care (active control) at 12 months for Māori and non-Māori who have knee OA. Participants will be recruited in community pharmacies. Knee-related physical function will be measured using the function subscale of the Short Form of the Western Ontario and McMaster Universities Osteoarthritis Index. Knee-related pain will be measured using an 11-point numeric pain rating scale. Primary outcome analyses will be conducted on an intention-to-treat basis using linear mixed models. Parallel within-trial health economic analysis and process evaluation will also be conducted.

ETHICS AND TRIAL DISSEMINATION

Ethical approval was obtained from the Central Health and Ethics Committee (2022-EXP-11725). The trial is registered with ANZCTR (ACTRN12622000469718). Findings will be submitted for publication and shared with participants.

Pilot study to test the safety, tolerability and feasibility of dulaglutide during a low-energy diet for weight loss and improved glycaemic control

Introduction

Diabetes and obesity are significant public health concerns. Previous studies have demonstrated that low energy diets are effective in promoting weight loss and inducing diabetes remission. However, hunger is a potential barrier to adherence for such diets.Dulaglutide is a glucagon-like peptide receptor agonist used in diabetes treatment. Its use is associated with weight loss, partly through increased satiety. The use of dulaglutide may improve adherence to a low energy diet through a reduction in hunger. We undertook a pilot study to assess the safety, tolerability and feasibility of this combination in individuals with obesity and type 2 diabetes.

Research design and methods

We enrolled individuals with type 2 diabetes and obesity from a tertiary diabetes service in Auckland, New Zealand. Owing to their higher rates of diabetes and poorer diabetes-related health outcomes, we preferentially enrolled Māori and Pacific individuals.Participants underwent 2 weeks of dulaglutide run-in followed by 12 weeks of the combination of dulaglutide and low energy diet. The primary endpoints were the proportion of people successfully completing the dietary intervention and the rates and types of adverse events. Secondary outcomes were changes in weight, glycaemic control, quality of life and biochemical parameters.

Results

The intervention was well tolerated. Mild side effects were common during the first 2 weeks of the intervention but generally improved over the study period. Eighty-nine per cent of participants completed the 12-week dietary intervention. Participants achieved an average weight loss of 9.5 kg and a mean reduction in haemoglobin A1c of 15.8 mmol/mol. Quality of life metrics were unchanged.

Conclusions

We conclude that the combination of dulaglutide and a low energy diet is a feasible and well-tolerated intervention for individuals with diabetes and increased body weight. Future studies could be performed assessing this combination against a low energy diet alone.

Trial registration number

This study was registered with the Australia New Zealand Clinical Trials Registry (ACTRN1262200015279p).

Discrete Choice Experiments in Health State Valuation: A Systematic Review of Progress and New Trends

BACKGROUND

Discrete choice experiments (DCEs) are increasingly used in health state valuation studies.

OBJECTIVE

This systematic review updates the progress and new findings of DCE studies in the health state valuation, covering the period since the review of June 2018 to November 2022. The review reports the methods that are currently being used in DCE studies to value health and study design characteristics, and, for the first time, reviews DCE health state valuation studies published in the Chinese language.

METHODS

English language databases PubMed and Cochrane, and Chinese language databases Wanfang and CNKI were searched using the self-developed search terms. Health state valuation or methodology study papers were included if the study used DCE data to generate a value set for a preference-based measure. Key information extracted included DCE study design strategies applied, methods for anchoring the latent coefficient on to a 0-1 QALY scale and data analysis methods.

RESULTS

Sixty-five studies were included; one Chinese language publication and 64 English language publications. The number of health state valuation studies using DCE has rapidly increased in recent years and these have been conducted in more countries than prior to 2018. Wide usage of DCE with duration attributes, D-efficient design and models accounting for heterogeneity has continued in recent years. Although more methodological consensus has been found than in studies conducted prior to 2018, this consensus may be driven by valuation studies for common measures with an international protocol (the 'model' valuation research). Valuing long measures with well-being attributes attracted attention and more realistic design strategies (e.g., inconstant time preference, efficient design and implausible states design) were identified. However, more qualitative and quantitative methodology study is still necessary to evaluate the effect of those new methods.

CONCLUSIONS

The use of DCEs in health state valuation continues to grow dramatically and the methodology progress makes the method more reliable and pragmatic. However, study design is driven by international protocols and method selection is not always justified. There is no gold standard for DCE design, presentation format or anchoring method. More qualitative and quantitative methodology study is recommended to evaluate the effect of new methods before researchers make methodology decisions.

Rugby Fans in Training New Zealand (RUFIT NZ): a randomized controlled trial to assess the effectiveness of a healthy lifestyle program for overweight men delivered through professional rugby clubs

BACKGROUND

A healthy lifestyle program that appeals to, and supports, overweight and obese New Zealand (NZ) European, Māori (indigenous) and Pasifika men to achieve weight loss is urgently needed. A pilot program inspired by the successful Football Fans in Training program but delivered via professional rugby clubs in NZ (n = 96) was shown to be effective in weight loss, adherence to healthy lifestyle behaviors, and cardiorespiratory fitness in overweight and obese men. A full effectiveness trial is now needed.

AIMS

To determine the effectiveness and cost effectiveness of Rugby Fans In Training-NZ (RUFIT-NZ) on weight loss, fitness, blood pressure, lifestyle change, and health related quality of life (HRQoL) at 12- and 52-weeks.

METHODS

We conducted a pragmatic, two-arm, multi-center, randomized controlled trial in NZ with 378 (target 308) overweight and obese men aged 30-65 years, randomized to an intervention group or wait-list control group. The 12-week RUFIT-NZ program was a gender-sensitised, healthy lifestyle intervention delivered through professional rugby clubs. Each intervention session included: i) a 1-h workshop-based education component focused on nutrition, physical activity, sleep, sedentary behavior, and learning evidence-based behavior change strategies for sustaining a healthier lifestyle; and 2) a 1-h group-based, but individually tailored, exercise training session. The control group were offered RUFIT-NZ after 52-weeks. The primary outcome was change in body weight from baseline to 52-weeks. Secondary outcomes included change in body weight at 12-weeks, waist circumference, blood pressure, fitness (cardiorespiratory and musculoskeletal), lifestyle behaviors (leisure-time physical activity, sleep, smoking status, and alcohol and dietary quality), and health-related quality of life at 12- and 52-weeks.

RESULTS

Our final analysis included 200 participants (intervention n = 103; control n = 97) who were able to complete the RUFIT-NZ intervention prior to COVID-19 restrictions. At 52-weeks, the adjusted mean group difference in weight change (primary outcome) was -2.77 kg (95% CI -4.92 to -0.61), which favored the intervention group. The intervention also resulted in favorable significant differences in weight change and fruit and vegetable consumption at 12-weeks; and waist circumference, fitness outcomes, physical activity levels, and health-related quality of life at both 12 and 52 weeks. No significant intervention effects were observed for blood pressure, or sleep. Incremental cost-effective ratios estimated were $259 per kg lost, or $40,269 per quality adjusted life year (QALY) gained.

CONCLUSION

RUFIT-NZ resulted in sustained positive changes in weight, waist circumference, physical fitness, self-reported physical activity, selected dietary outcomes, and health-related quality of life in overweight/obese men. As such, the program should be recommended for sustained delivery beyond this trial, involving other rugby clubs across NZ.

TRIAL REGISTRATION

Australia New Zealand Clinical Trials Registry, ACTRN12619000069156. Registered 18 January 2019, https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=376740 Universal Trial Number, U1111-1245-0645.

Factors associated with self-reported health among New Zealand military veterans: a cross-sectional study

OBJECTIVE

To identify factors associated with better or poorer self-reported health status in New Zealand military Veterans.

DESIGN

A cross-sectional survey.

PARTICIPANTS

The participants of interest were the 3874 currently serving Veterans who had been deployed to a conflict zone, but all Veterans were eligible to participate.

STUDY VARIABLES

The EQ-5D-5L, asking about problems across five dimensions (mobility, self-care, usual activities, pain or discomfort and anxiety or depression), with five levels of severity (eg, no, slight, moderate, severe or extreme problems), also containing a Visual Analogue Scale (EQ-VAS) to self-assess health state, scaled from 0 (worst) to 100 (best) imagined health.Hypothetical relationships with better health were positive social support, sleep and psychological flexibility; with poorer health, post-traumatic stress, exposure to psychological trauma, distress and hazardous drinking.

RESULTS

The EQ5-D-5L was completed by 1767 Veterans, 1009 serving, a response rate of 26% from that group, 1767 completing the EQ5-D, 1458 who had deployed, 288 who had not and the 21 who did not provide deployment data. Of these, 247 were not used in the analysis due to missing values in one or more variables, leaving 1520 for analysis.A significantly higher proportion of Veterans reported 'any problems' rather than 'no problems' with four EQ-5D dimensions: mobility, self-care, usual activities and pain or discomfort, but no difference in anxiety or depression. Age, length of service, deployment, psychological flexibility and better sleep quality were associated with higher EQ-VAS scores; distress with lower EQ-VAS scores.

CONCLUSION

In this sample of New Zealand Veterans, psychological flexibility and good sleep are associated with better self-rated health, and distress and poor sleep with diminished health. These factors might be used as sentinel health indicators in assessing Veteran health status, and cognitive-behavioural therapy encompassing these domains may be useful in improving the health of New Zealand Veterans.

How Does Driving Anxiety Relate to the Health and Quality of Life of Older Drivers?

OBJECTIVES

11% of drivers aged 65+ report moderate to extreme driving anxiety, with associated reduction in driving. Knowledge about the relationships of driving anxiety with health and quality of life for older people is minimal. The present study examined these relationships.

METHOD

1170 community dwelling drivers aged 65+ in New Zealand completed a population survey.

RESULTS

After adjusting for socio-demographic variables, higher driving anxiety was associated with lower quality of life and lower odds of 'very good' self-reported health, but no difference in odds of multi-comorbidity.

DISCUSSION

Further research is needed to examine the influence of driving anxiety on health and quality of life outcomes with a broader range of older people who experience more challenges to their health and wellbeing, especially to mental health.

Assessment of health-related quality of life in hypertensive hemodialysis patients

BACKGROUND AND OBJECTIVES

Globally, the prevalence of hypertension (HTN) with the coexistence of chronic kidney disease (CKD) is increasing, resulting in poor quality of life. The main objective of the study was to measure the health-related quality of life (HRQoL) of hypertensive hemodialysis patients.

METHODS

A multicenter follow-up study was carried out in six public and two private dialysis centers in Pakistan. A total of 517 hypertensive hemodialysis patients responded by completing the questionnaire at baseline and two subsequent phases. The quality of life of these patients was assessed using the EQ-5D-5L questionnaire (a standardized instrument for measuring generic health status). Statistical analysis was done using a multivariate linear regression model, Friedman test and Kruskal Wallis test.

RESULTS

The majority of patients (58.2%) had normal body mass index and about 60.5% of the patients were taking less salt due to HTN. Friedman test gave the statistically significant results (p ≤ 0.001) in systolic blood pressure (BP), diastolic BP and EQ-5D visual analogue scale (VAS) score between three phases (initial visit, first follow-up and second follow-up). A significant improvement was observed in self-care and usual activities from initial visit to first follow-up (p < 0.05). The most problematic dimension among the hypertensive patients with CKD was pain/discomfort (86.5%).

CONCLUSIONS

HTN with coexisting CKD in hemodialysis patients severely affected HRQoL. Pain/discomfort was the most problematic dimension among the participants.

Methodological similarities and variations among EQ-5D-5L value set studies: a systematic review

OBJECTIVES

(1) To descriptively compare the selected elements of valuation methods for EQ-5D-5L value set studies, (2) to compare the characteristics of the value sets, and (3) to examine the associations between the selected elements of valuation methods and the EQ-5D-5L value sets.

METHODS

A systematic literature search of EQ-5D-5L valuation studies from 1 January 2009 to 22 April 2021 was conducted in selected databases. Following the initial search, we also explored additional studies published during the completion of the final version of the manuscript. Similarities and variations for selected elements of valuation methods were descriptively compared. The relative importance of dimensions, utility decrements between the levels, and distribution of the utility scores were used to compare value sets. A meta-regression analysis examined the associations between the selected methodological elements and the utility scores and dimension levels of EQ-5D-5L.

RESULTS

A total of 31 studies were included in this review. Methodological similarities centered around data collection and preference elicitation method. On the other hand, variations include sampling technique, sample size, and value set modeling. The variations in value sets based on the relative importance of dimension, decrement in utility score, and distribution of utility score across countries were observed. Although the distribution of the utility scores differed across countries, higher levels of each dimension tended to have a larger decrement in the utility scores. Mean utility scores for the experience-based value sets were higher than those estimated using stated choice methods. The selected methodological elements were not significantly associated with the mean predicted utility scores or most dimension-level coefficients.

CONCLUSIONS

EQ-5D-5L health state valuation methods and characteristics of value sets differed across studies. The impact of the variation of methodological elements on the value sets should be further investigated.

Transforming challenges into opportunities: conducting health preference research during the COVID-19 pandemic and beyond

The disruptions to health research during the COVID-19 pandemic are being recognized globally, and there is a growing need for understanding the pandemic’s impact on the health and health preferences of patients, caregivers, and the general public. Ongoing and planned health preference research (HPR) has been affected due to problems associated with recruitment, data collection, and data interpretation. While there are no “one size fits all” solutions, this commentary summarizes the key challenges in HPR within the context of the pandemic and offers pragmatic solutions and directions for future research. We recommend recruitment of a diverse, typically under-represented population in HPR using online, quota-based crowdsourcing platforms, and community partnerships. We foresee emerging evidence on remote, and telephone-based HPR modes of administration, with further studies on the shifts in preferences related to health and healthcare services as a result of the pandemic. We believe that the recalibration of HPR, due to what one would hope is an impermanent change, will permanently change how we conduct HPR in the future.

New Zealand Population Norms for the EQ-5D-5L Constructed From the Personal Value Sets of Participants in a National Survey

OBJECTIVES

To derive New Zealand (NZ) population norms for the EQ-5D-5L and to examine the association between participants' sociodemographic characteristics and their health-related quality of life.

METHODS

Data from the 2018 NZ EQ-5D-5L valuation study (n = 2468) were used. Each participant's 5-digit profile was converted to a single utility value using their personal value set. The profiles, mean utility values, and mean EuroQol visual analog scale (EQ-VAS) scores were summarized by dimension and disaggregated by age group and gender. Multivariable logistic and Tobit regressions were used to investigate the association between participants' sociodemographic characteristics and the EQ-5D-5L dimensions, utility values, and EQ-VAS scores.

RESULTS

The mean utility value was 0.847 and the mean EQ-VAS score was 74.8. Of the 3125 possible EQ-5D-5L profiles, 25 profiles represented the current health status of the majority of participants (78%). The odds of having problems with anxiety or depression was greatest for people aged 18 to 24 years and decreased with age. People with a long-term disability or chronic illness had greater odds of problems on all dimensions and lower (poorer) utility values and EQ-VAS scores. Age, ethnicity, employment status, long-term disability, and chronic illness were associated with utility.

CONCLUSION

EQ-5D-5L population norms were derived for the NZ population using the personal value sets of 2468 participants. Consistent with other countries' population norms, EQ-5D-5L utility values and EQ-VAS scores were associated with age, employment status, long-term disability, and chronic illness. These norms will support resource allocation decision making and help in understanding the health-related quality of life of the NZ population.

New Zealand roll-your-own smokers' reaction to novel roll-your-own tobacco packaging warning labels

INTRODUCTION

Although roll-your-own (RYO) loose tobacco is increasingly popular among smokers, no jurisdictions have used RYO-specific pictorial warning labels (PWL) on tobacco packaging. We explored how New Zealand RYO smokers, a population with over 10 years of exposure to PWLs, reacted to RYO-specific warnings featuring novel themes.

METHODS

We conducted an online survey of 785 RYO smokers in March 2019. Eligible participants were smokers aged 18-70 years who smoked predominantly RYO cigarettes. Participants randomly viewed two of eight RYO-specific PWLs featuring themes of health information (mouth and throat cancer), suffering (male and female), toxins, material hardship, cost, family transmission of smoking and harm to pets and answered items assessing negative emotions and perceived effectiveness.

RESULTS

Compared to a reference health information PWL (most similar in content and tone to New Zealand's existing PWLs), only a male suffering PWL elicited both significantly stronger negative emotion and higher perceived effectiveness. No themes performed significantly worse than the health information PWL, suggesting any of the themes could be at least as effective as existing health warnings among New Zealand RYO smokers. The individual-level factors consistently associated with negative emotion and perceived effectiveness were age, desire to quit smoking, believing quitting could reduce risk of serious disease, a quit attempt within the previous 6 months and ever-planning to quit.

CONCLUSION

Our findings suggest that, in the New Zealand context, a PWL emphasising male suffering could be a useful starting point for assessing RYO-specific PWLs compared to general smoking warnings.

Long-term costs and cost-effectiveness of adjunctive corticosteroids for patients with septic shock in New Zealand

OBJECTIVE

The aim of the study was to determine whether adjunctive hydrocortisone reduced healthcare expenditure and was cost-effective compared with placebo in New Zealand patients in the Adjunctive Glucocorticoid Therapy in Patients with Septic Shock (ADRENAL) trial.

DESIGN

This is a health economic analysis using data linkage to New Zealand Ministry of Health databases to determine resource use, costs, and cost-effectiveness for a 24-month period.

SETTING

The study was conducted in New Zealand.

PARTICIPANTS AND INTERVENTION

Patients with septic shock were randomised to receive a 7-day continuous infusion of 200 mg of hydrocortisone or placebo in the ADRENAL trial.

MAIN OUTCOME MEASURES

Healthcare expenditure was associated with all hospital admissions, emergency department presentations, outpatient visits, and pharmacy expenditure. Effectiveness outcomes included mortality at 6 months and 24 months and quality of life at 6 months. Cost-effectiveness outcomes were assessed with reference to quality-adjusted life years gained at 6 months and life years gained at 24 months.

RESULTS

Of 3800 patients in the ADRENAL trial, 419 (11.0%) were eligible, and 405 (96.7% of those eligible) were included. The mean total costs per patient over 24 months were $143,627 ± 100,890 and $143,772 ± 97,117 for the hydrocortisone and placebo groups, respectively (p = 0.99). Intensive care unit costs for the index admission were $50,492 and $62,288 per patient for the hydrocortisone and placebo groups, respectively (p = 0.09). The mean number of quality-adjusted life years gained at 6 months and mean number of life years gained at 24 months was not significantly different by treatment group, and the probability of hydrocortisone being cost-effective was 55% at 24 months.

CONCLUSIONS

In New Zealand, adjunctive hydrocortisone did not reduce total healthcare expenditure or improve outcomes compared with placebo in patients with septic shock.

Quality of life preferences in colorectal cancer patients aged 80 and over

BACKGROUND

Management of patients with colorectal cancer (CRC) is about not only survival, but also quality of life (QoL). What patients want is important but is not well researched or understood for elderly patients where it is very relevant. This study aimed to measure and compare what patients with CRC aged 80 and over and surgeons consider important in terms of survivorship after surgery for CRC.

METHODS

Patients aged 80 and over who were having surgery for CRC were recruited and interviewed using closed and open questions about their expectations of surgery and various QoL dimensions. These were assessed preoperatively and 3 months post-operatively. Surgeons ranked the same QoL dimensions of patients by questionnaire.

RESULTS

Nineteen patients (median age 87.5, range 80-95, eight males and 11 females) were recruited. Patients rated items relating to health, mobility and independence (n = 23) as top three items most often followed by people outside self (n = 13). Surgeons underestimated importance in 17 domains with the biggest discrepancy being in 'avoiding a stoma' (4.11 versus 2.3, P < 0.01).

CONCLUSION

With patients over 80 years having surgery for CRC, there is a lack of concordance between what surgeons think is important and what patients think is important. Despite this, CRC patients aged 80 and older are almost always satisfied with the outcome of surgery. Surgeons should ensure that they understand patients' expectations and that they are aligned with likely outcomes of surgery.

Creating a priority list of non-communicable diseases to support health research funding decision-making

OBJECTIVE

To develop and pilot a framework based on multi-criteria decision analysis (MCDA) to prioritize non-communicable diseases (NCDs) to support health research funding decision-making.

METHODS

The framework involves identifying NCDs to be prioritized, specifying prioritization criteria and determining their weights from a survey of stakeholders. The mean weights from the survey are applied to the NCDs' ratings on the criteria to generate a 'total score' for each NCD, by which the NCDs are prioritized.

RESULTS

Nineteen NCDs and five criteria were included. The criteria, in decreasing order of importance (mean weights in parentheses), are: deaths across the population (27.7 %), loss of quality-of-life across the population (23.0 %), cost to patients and families (18.6 %), cost to the health system (17.2 %), and whether vulnerable groups are disproportionately affected (13.4 %). The priority list of NCDs, stratified into four tiers of importance, is: 'Very critical' priority: coronary heart disease, back and neck pain, diabetes mellitus; 'Critical' priority: dementia and Alzheimer's disease, stroke; 'High' priority: colon and rectum cancer, depressive disorders, chronic obstructive pulmonary disease, chronic kidney disease, breast cancer, prostate cancer, arthritis, lung cancer; and 'Medium' priority: asthma, hearing loss, melanoma skin cancer, addictive disorders, non-melanoma skin cancer, headaches.

CONCLUSION

The results indicate the framework for prioritizing NCDs for research funding is feasible and effective. The framework could also be used for other health conditions.

An exploration of methods for obtaining 0 = dead anchors for latent scale EQ-5D-Y values

OBJECTIVES

Discrete choice experiments (DCEs) can be used to obtain latent scale values for the EQ-5D-Y, but these require anchoring at 0 = dead to meet the conventions of quality-adjusted life year (QALY) estimation. The primary aim of this study is to compare four preference elicitation methods for obtaining anchors for latent scale EQ-5D-Y values.

METHODS

Four methods were tested: visual analogue scale (VAS), DCE (with a duration attribute), lag-time time trade-off (TTO) and the location-of-dead (LOD) approach. In computer-assisted personal interviews, UK general public respondents valued EQ-5D-3L health states from an adult perspective and EQ-5D-Y health states from a 10-year-old child perspective. Respondents completed valuation tasks using all four methods, under both perspectives.

RESULTS

349 interviews were conducted. Overall, respondents gave lower values under the adult perspective compared to the child perspective, with some variation across methods. The mean TTO value for the worst health state (33333) was about equal to dead in the child perspective and worse than dead in the adult perspective. The mean VAS rescaled value for 33333 was also higher in the child perspective. The DCE produced positive child perspective values and negative adult perspective values, though the models were not consistent. The LOD median rescaled value for 33333 was negative under both perspectives and higher in the child perspective.

DISCUSSION

There was broad agreement across methods. Potential criteria for selecting a preferred anchoring method are presented. We conclude by discussing the decision-making circumstances under which utilities and QALY estimates for children and adults need to be commensurate to achieve allocative efficiency.

Waste Segregation FMEA Model Integrating Intuitionistic Fuzzy Set and the PAPRIKA Method

Segregation is an important step in health care waste management. If done incorrectly, the risk of preventable infections, toxic effects, and injuries to care and non-care staff, waste handlers, patients, visitors, and the community at large, is increased. It also increases the risk of environmental pollution and prevents recyclable waste from being recovered. Despite its importance, it is acknowledged that poor waste segregation occurs in most health care organizations. This study therefore intends to produce, for the first time, a classification of failure modes related to segregation in the Nuclear Medicine Department of a health care organization. This will be done using Failure Mode and Effects Analysis (FMEA), by combining an intuitionistic fuzzy hybrid weighted Euclidean distance operator, and the multicriteria method Potentially All Pairwise RanKings of all possible Alternatives (PAPRIKA). Subjective and objective weights of risk factors were considered simultaneously. The failure modes identified in the top three positions are: improper storage of waste (placing items in the wrong bins), improper labeling of containers, and bad waste management (inappropriate collection periods and bin set-up).

Reasoning in the valuation of health-related quality of life: A qualitative content analysis of deliberations in a pilot study

BACKGROUND

Group deliberation can be a pathway to understanding reasons behind judgement decisions. This pilot study implemented a deliberative process to elicit public values about health-related quality of life. In this study, participants deliberated scales and weights for a German adaption of the Short-Form Six-Dimension (SF-6D) Version 2 from a public perspective.

OBJECTIVE

This article examines the reasons participants stated for health state valuations and investigates the feasibility of eliciting public reasons for judgement decisions in a deliberative setting.

METHODS

The 1-day deliberation was guided by MACBETH as a method of multi-criteria decision analysis and involved qualitative comparisons of SF-6D health states and dimensions. Participants deliberated in parallel small groups and a subsequent plenary assembly. A qualitative content analysis was conducted to assess the value judgements and reasons behind them.

RESULTS

A total of 34 students participated in the study. Common reasoning was the level of impairment, marginal benefit, possibility of adjustment and expectation satisfaction. While the small groups agreed on scales for the SF-6D dimensions, the plenary assembly did not reach consensus on one scale and dimension weights. When dimensions were prioritized, these were pain and mental health.

CONCLUSIONS

While no consented value set was derived, this pilot study presents a promising approach for eliciting public reasoning behind judgements on health state values. Furthermore, it demonstrates that participants consider diverse motives when valuing health-related quality of life.