iDiabetes platform-enhanced phenotyping of patients with diabetes for precision diagnosis, prognosis and treatment: study protocol for a cluster-randomised controlled study in Tayside, Scotland.

Introduction And Aim: Diabetes is a global health emergency with increasing prevalence and diabetes-associated morbidity and mortality. One of the challenges in optimising diabetes care is translating research advances in this heterogeneous disease into clinical care. A potential solution is the introduction of precision medicine approaches into diabetes care.

The use of machine learning to understand the role of visual attention in multi-attribute choice.

Whether eye movements (as a measure of visual attention) contribute to the understanding of how multi-attribute decisions are made, is still a matter of debate. In this study, we show how machine learning methods can be used to separate the effects of the information presented, eye movement patterns, and attention to specific information. We also show how to deal with data from a relatively small sample of participants, often found in eye tracking studies that require in-lab testing.

Should Scotland provide genome-wide sequencing for the diagnosis of rare developmental disorders? A cost-effectiveness analysis.

Aims: This study aims to evaluate the cost effectiveness of genetic and genomic testing strategies for the diagnosis of rare developmental disorders in NHS Scotland.

Methods: Six genetic and genomic testing strategies were evaluated using a decision tree model. First-line, second-line and last-resort trio genome sequencing (GS), and second-line and last-resort trio exome sequencing (ES) were compared with standard genetic testing.

Public preferences and willingness to pay for a net zero NHS: a protocol for a discrete choice experiment in England and Scotland.

Introduction: Climate change poses a major threat to our health, livelihoods and the planet. In 2020, the UK National Health Service (NHS) committed to reducing its Scope 1, 2 and 3 emissions to reach net zero by 2045. Although a net zero NHS would help to limit the consequences of climate change, little is known about the UK general public's values and preferences for the proposed service changes needed to reach net zero.

Development of a disease-specific health utility score for chronic obstructive pulmonary disease from a discrete choice experiment patient preference study.

Objectives: While patient input to health technology assessment (HTA) has traditionally been of a qualitative nature, there is increasing interest to integrate quantitative evidence from patient preference studies into HTA decision making. Preference data can be used to generate disease-specific health utility data. We generated a health utility score for patients with chronic obstructive pulmonary disease (COPD) and consider its use within HTAs.

Trade-offs between overall survival and side effects in the treatment of metastatic breast cancer: eliciting preferences of patients with primary and metastatic breast cancer using a discrete choice experiment.

Objectives: There has been a recent proliferation in treatment options for patients with metastatic breast cancer. Such treatments often involve trade-offs between overall survival and side effects. Our study aims to estimate the trade-offs that could be used to inform decision-making at the individual and policy level.

Exploring doctors' trade-offs between management, research and clinical training in the medical curriculum: a protocol for a discrete choice experiment in Southern Africa.

Introduction: Medical curricula should prepare doctors for roles that extend beyond that of a clinician. But the formal inclusion of both management and research training still appear to be neglected. It is important to understand what the profession would be willing to give up in terms of clinical training time for management and research content teaching prior to making any changes in a medical curriculum.

Keeping an eye on cost: What can eye tracking tell us about attention to cost information in discrete choice experiments?

Concern has been expressed about including a cost attribute within discrete choice experiments (DCEs) when individuals do not have to pay at the point of consumption. We use eye tracking to investigate attention to cost when valuing publicly financed health care. One-hundred and four individuals completed a DCE concerned with preferences for UK general practitioner appointments: 51 responded to a DCE with cost included and 53 to the same DCE without cost.

The Baby Box scheme in Scotland: A study of public attitudes and social value.

Background: The Scottish Government introduced a free Baby Box scheme for all new parents in 2017, modelled on the Finnish scheme, to give every baby 'an equal start in life'. There is little evidence that it results in better health outcomes, but there has been limited research into different perspectives and discourses on such schemes.

Methods: Four focus groups were conducted with 21 parents in North-East Scotland.

We know but we hope: A qualitative study of the opinions and experiences on the inclusion of management, health economics and research in the medical curriculum.

The achievement of global and national health goals requires a health workforce that is sufficient and trained. Despite considerable steps in medical education, the teaching of management, health economics and research skills for medical doctors are often neglected in medical curricula. This study explored the opinions and experiences of medical doctors and academic educationalists on the inclusion of management, health economics and research in the medical curriculum.

Prioritization of THose aWaiting hip and knee ArthroplastY(PATHWAY): protocol for development of a stakeholder led clinical prioritization tool.

Aims: The extended wait that most patients are now experiencing for hip and knee arthroplasty has raised questions about whether reliance on waiting time as the primary driver for prioritization is ethical, and if other additional factors should be included in determining surgical priority. Our Prioritization of THose aWaiting hip and knee ArthroplastY (PATHWAY) project will explore which perioperative factors are important to consider when prioritizing those on the waiting list for hip and knee arthroplasty, and how these factors should be weighted. The final product will include a weighted benefit score that can be used to aid in surgical prioritization for those awaiting elective primary hip and knee arthroplasty.

Using a discrete choice experiment to develop a decision aid tool to inform the management of persistent pain in pharmacy: a protocol for a randomised feasibility study.

Introduction: In an era of personalised healthcare, it has become increasingly important to elicit individual-level preferences. While discrete choice experiments (DCEs) are widely used to measure patient preferences in the delivery of healthcare, the focus has been sample-level analysis. Using the DCE methodology, this project has designed a digital decision aid tool (DAT) with the potential to estimate individual preferences in real time to inform clinical consultation decisions in persistent pain management.

Public acceptability of non-pharmaceutical interventions to control a pandemic in the UK: a discrete choice experiment.

Objective: To understand how individuals trade off between features of non-pharmaceutical interventions (eg, lockdowns) to control a pandemic across the four nations of the UK.

Design: A survey that included a discrete choice experiment. The survey design was informed using policy documents, social media analysis and input from remote think-aloud interviews with members of the public (n=23).

Will the Public Engage with New Pharmacy Roles? Assessing Future Uptake of a Community Pharmacy Health Check Using a Discrete Choice Experiment.

Background: Pharmacists are increasingly providing more clinically orientated services that focus on enhancing patient care and health promotion. However, little is known about how acceptable this is to the public. This study explored public preferences for a community pharmacy-based health check for cardiovascular disease (CVD).

Won't you stay just a little bit longer? A discrete choice experiment of UK doctors' preferences for delaying retirement.

Introduction And Aims: Health systems around the world face difficulties retaining their workforce, which is exacerbated by the early retirement of experienced clinicians. This study aims to determine how to incentivise doctors to delay their retirement.

Methods: We used a discrete choice experiment to estimate the relative importance of job characteristics in doctors' willingness to delay retirement, and the number of extra years they were willing to delay retirement when job characteristics improved.

Continuing the sequence? Towards an economic evaluation of whole genome sequencing for the diagnosis of rare diseases in Scotland.

Novel developments in genomic medicine may reduce the length of the diagnostic odyssey for patients with rare diseases. Health providers must thus decide whether to offer genome sequencing for the diagnosis of rare conditions in a routine clinical setting. We estimated the costs of singleton standard genetic testing and trio-based whole genome sequencing (WGS), in the context of the Scottish Genomes Partnership (SGP) study.

Weighting or aggregating? Investigating information processing in multi-attribute choices.

Multi-attribute choices are commonly analyzed in economics to value goods and services. Analysis assumes individuals consider all attributes, making trade-offs between them. Such decision-making is cognitively demanding, often triggering alternative decision rules.

Understanding public preferences and trade-offs for government responses during a pandemic: a protocol for a discrete choice experiment in the UK.

Introduction: Social distancing and lockdown measures are among the main government responses to the COVID-19 pandemic. These measures aim to limit the COVID-19 infection rate and reduce the mortality rate of COVID-19. Given we are likely to see local lockdowns until a treatment or vaccine for COVID-19 is available, and their effectiveness depends on public acceptability, it is important to understand public preference for government responses.

Paid work, household work, or leisure? Time allocation pathways among women following a cancer diagnosis.

Background: There is extensive evidence on the relationship between receiving a cancer diagnosis and labour market outcomes. However, there is limited evidence on the relationship between a cancer diagnosis and non-labour market outcomes such as household work, passive leisure and physical leisure. Furthermore, most current research focuses on time allocation at a given time point, ignoring both the life course perspective and long term effects.

Survey modes comparison in contingent valuation: Internet panels and mail surveys.

Stated preferences methods are extensively applied in health economics to elicit preferences. Although mailed surveys were commonly used to collect data, internet panel (IP) surveys are being increasingly used. This raises questions about the validity of responses and estimated willingness-to-pay (WTP) values generated from IP surveys.

Mode and Frame Matter: Assessing the Impact of Survey Mode and Sample Frame in Choice Experiments.

Choice experiments (CE) are applied in health economics to elicit public preferences and willingness to pay (WTP). CEs are frequently administered as Internet-based surveys. Internet surveys have recognized advantages, but concerns exist about the representativeness of Internet samples, data quality, and the impact on elicited values.

U.K. Intensivists' Preferences for Patient Admission to ICU: Evidence From a Choice Experiment.

Objectives: Deciding whether to admit a patient to the ICU requires considering several clinical and nonclinical factors. Studies have investigated factors associated with the decision but have not explored the relative importance of different factors, nor the interaction between factors on decision-making. We examined how ICU consultants prioritize specific factors when deciding whether to admit a patient to ICU.

For more than money: willingness of health professionals to stay in remote Senegal.

Background: Poor distribution of already inadequate numbers of health professionals seriously constrains equitable access to health services in low- and middle-income countries. The Senegalese Government is currently developing policy to encourage health professionals to remain in areas defined as 'difficult'. Understanding health professional's preferences is crucial for this policy development.