Valuing informal carers' quality of life using best-worst scaling-Finnish preference weights for the Adult Social Care Outcomes Toolkit for carers (ASCOT-Carer).

This study developed Finnish preference weights for the seven-attribute Adult Social Care Outcomes Toolkit for carers (ASCOT-Carer) and investigated survey fatigue and learning in best-worst scaling (BWS) experiments. An online survey that included a BWS experiment using the ASCOT-Carer was completed by a sample from the general population in Finland. A block of eight BWS profiles describing different states from the ASCOT-Carer were randomly assigned to each respondent, who consecutively made four choices (best, worst, second best and second worst) per profile. The analysis panel data had 32,160 choices made by 1005 respondents. A scale multinomial logit (S-MNL) model was used to estimate preference weights for 28 ASCOT-Carer attribute levels. Fatigue and learning effects were examined as scale heterogeneity. Several specifications of the generalised MNL model were employed to ensure the stability of the preference estimates. The most and least-valued states were the top and bottom levels of the control over daily life attribute. The preference weights were not on a cardinal scale. We observed the position effect of the attributes on preferences associated with the best or second-best choices. A learning effect was found. The established preference weights can be used in evaluations of the effects of long-term care services and interventions on the quality of life of service users and caregivers. The learning effect implies a need to develop study designs that ensure equal consideration to all profiles (choice tasks) in a sequential choice experiment.

Do You Prefer Safety to Social Participation? Finnish Population-Based Preference Weights for the Adult Social Care Outcomes Toolkit (ASCOT) for Service Users.

Introduction. The Adult Social Care Outcomes Toolkit (ASCOT) was developed in England to measure people's social care-related quality of life (SCRQoL). Objectives. The aim of this article is to estimate preference weights for the Finnish ASCOT for service users (ASCOT). In addition, we tested for learning and fatigue effects in the choice experiment used to elicit the preference weights. Methods. The analysis data (n = 1000 individuals) were obtained from an online survey sample of the Finnish adult general population using gender, age, and region as quotas. The questionnaire included a best-worst scaling (BWS) experiment using ASCOT. Each respondent sequentially selected four alternatives (best, worst; second-best, second-worst) for eight BWS tasks (n = 32,000 choice observations). A scale multinomial logit model was used to estimate the preference parameters and to test for fatigue and learning. Results. The most and least preferred attribute-levels were "I have as much control over my daily life as I want" and "I have no control over my daily life." The preference weights were not on a cardinal scale. The ordering effect was related to the second-best choices. Learning effect was in the last four tasks. Conclusions. This study has developed a set of preference weights for the ASCOT instrument in Finland, which can be used for investigating outcomes of social care interventions on adult populations. The learning effect calls for the development of study designs that reduce possible bias relating to preference uncertainty at the beginning of sequential BWS tasks. It also supports the adaptation of a modelling strategy in which the sequence of tasks is explicitly modelled as a scale factor.

Diagnosis of occupational asthma from serial measurements of forced expiratory volume in 1 s (FEV1) using the Area Between Curves (ABC) score from the Oasys plotter.

OBJECTIVES: To identify the changes in serial 2-hourly forced expiratory volume in 1 s (FEV1) measurements required to identify occupational asthma (OA) using the Oasys Area Between Curves (ABC) score. METHODS: The ABC score from 2-hourly measurements of FEV1 was compared between workers with confirmed OA and asthmatics without occupational exposure to identify the optimum separation using receiver operator characteristic (ROC) analysis. Separate analyses were made for plots using clock time and time from waking to allow for use in shift workers. Minimum record criteria were ≥6 readings per day, >4 day shifts and >4 rest days (or >9 days for controls). RESULTS: A retrospective analysis identified 22 workers with OA and 30 control asthmatics whose records reached the quality standards. Median FEV1 diurnal variation was 20.3% (IQR 16.1-32.6) for OA and 19.5% (IQR 14.5-26.1) for asthmatic controls. ROC curve analysis identified that a difference of 0.056 L/hour gave a ROC score of 0.821 for clock time and 0.768 for time from waking with a sensitivity of 73% and a specificity of 93% for the diagnosis of OA. CONCLUSIONS: The diagnosis of OA requires objective confirmation. Unsupervised serial FEV1 measurements are more difficult to obtain reliably than measurements of peak expiratory flow, which are likely to remain the standard for general use. A FEV1 ABC score >0.056 L/hour provides a valid cut-off for those who wish to use FEV1 rather than peak expiratory flow.

Carer Social Care-Related Quality of Life Outcomes: Estimating English Preference Weights for the Adult Social Care Outcomes Toolkit for Carers.

BACKGROUND: There is increasing interest in assessing the effects of interventions on older people, people with long-term conditions and their informal carers for use in economic evaluation. The Adult Social Care Outcomes Toolkit for Carers (ASCOT-Carer) is a measure that specifically assesses the impact of social care services on informal carers. To date, the ASCOT-Carer has not been preference-weighted. OBJECTIVES: To estimate preference-based index values for the English version of the ASCOT-Carer from the general population in England. METHODS: The ASCOT-Carer consists of 7 domains, each reflecting aspects of social care-related quality of life in informal carers. Preferences for the ASCOT-Carer social care-related quality of life states were estimated using a best-worst scaling exercise in an online survey. The survey was administered to a sample of the general adult population in England (n = 1000). Participants were asked to put themselves into the hypothetical state of being an informal carer and indicate which attribute they thought was the best (first and second) and worst (first and second) from a profile list of 7 attributes reflecting the 7 domains, each ranging at a different level (1-4). Multinomial logit regression was used to analyze the data and estimate preference weights for the ASCOT-Carer measure. RESULTS: The most valued aspect by English participants was the 'occupation' attribute at its highest level. Results further showed participants rated having no control over their daily life as the lowest attribute-level of all those presented. The position of the 7 attributes influenced participants' best and worst choices, and there was evidence of both scale and taste heterogeneity on preferences. CONCLUSION: This study has established a set of preference-based index values for the ASCOT-Carer in England derived from the best-worst scaling exercise that can be used for economic evaluation of interventions on older individuals and their informal carers.

Comparing internet and face-to-face surveys as methods for eliciting preferences for social care-related quality of life: evidence from England using the ASCOT service user measure.

PURPOSE: Traditionally, researchers have relied on eliciting preferences through face-to-face interviews. Recently, there has been a shift towards using internet-based methods. Different methods of data collection may be a source of variation in the results. In this study, we compare the preferences for the Adult Social Care Outcomes Toolkit (ASCOT) service user measure elicited using best-worst scaling (BWS) via a face-to-face interview and an online survey. METHODS: Data were collected from a representative sample of the general population in England. The respondents (face-to-face: n = 500; online: n = 1001) completed a survey, which included the BWS experiment involving the ASCOT measure. Each respondent received eight best-worst scenarios and made four choices (best, second best, worst, second worst) in each scenario. Multinomial logit regressions were undertaken to analyse the data taking into account differences in the characteristics of the two samples and the repeated nature of the data. RESULTS: We initially found a number of small significant differences in preferences between the two methods across all ASCOT domains. These differences were substantially reduced-from 15 to 5 out of 30 coefficients being different at the 5% level-and remained small in value after controlling for differences in observable and unobservable characteristics of the two samples. CONCLUSIONS: This comparison demonstrates that face-to-face and internet surveys may lead to fairly similar preferences for social care-related quality of life when differences in sample characteristics are controlled for. With or without a constant sampling frame, studies should carefully design the BWS exercise and provide similar levels of clarification to participants in each survey to minimise the amount of error variance in the choice process.

Hepatitis C: Understanding Factors That Influence the Physicians' Treatment Decisions.

This study aimed to inform Hepatitis C (HCV) treatment by (1) better understanding the nexus of factors physicians consider when making HCV treatment decisions; (2) investigating the comparative influence and importance of specific factors and the trade-offs implicated in the decisionmaking process; and (3) examining how much thrombocytopenia impacts treatment decisions and how it impacts treatment. To meet this goal, we conducted five analyses, focusing on four European countries characterised by different approaches to healthcare organisation and financing, which alongside cultural differences may have potential implications for treatment pathways for patients with HCV infection. These were: France, Italy, Spain, and the United Kingdom. These analysis included: Review the academic literature and of relevant national and European guidelines;Conduct key informant interviews (KIIs) with national experts to contextualise the data from the literature review and further explore some emerging themes;Map the patient journey in the four countries to identify stages HCV patients pass through once they have entered the healthcare system and map, for each stage, potential points of departure from the typical journey;Design and conduct of Discrete Choice Experiments (DCEs) to quantitatively assess the importance of factors that influence treatment decisions;Conduct expert workshop to help build scenarios identifying challenges to HCV treatment.The five analyses build on one another, with the first three providing evidence that fed into the design of the DCEs and with the DCE results in turn serving as the key inputs into building the scenarios for the expert workshop.

Understanding the relative valuation of research impact: a best-worst scaling experiment of the general public and biomedical and health researchers.

OBJECTIVES: (1) To test the use of best-worst scaling (BWS) experiments in valuing different types of biomedical and health research impact, and (2) to explore how different types of research impact are valued by different stakeholder groups. DESIGN: Survey-based BWS experiment and discrete choice modelling. SETTING: The UK. PARTICIPANTS: Current and recent UK Medical Research Council grant holders and a representative sample of the general public recruited from an online panel. RESULTS: In relation to the study's 2 objectives: (1) we demonstrate the application of BWS methodology in the quantitative assessment and valuation of research impact. (2) The general public and researchers provided similar valuations for research impacts such as improved life expectancy, job creation and reduced health costs, but there was less agreement between the groups on other impacts, including commercial capacity development, training and dissemination. CONCLUSIONS: This is the second time that a discrete choice experiment has been used to assess how the general public and researchers value different types of research impact, and the first time that BWS has been used to elicit these choices. While the 2 groups value different research impacts in different ways, we note that where they agree, this is generally about matters that are seemingly more important and associated with wider social benefit, rather than impacts occurring within the research system. These findings are a first step in exploring how the beneficiaries and producers of research value different kinds of impact, an important consideration given the growing emphasis on funding and assessing research on the basis of (potential) impact. Future research should refine and replicate both the current study and that of Miller et al in other countries and disciplines.

Public acceptability of population-level interventions to reduce alcohol consumption: a discrete choice experiment.

Public acceptability influences policy action, but the most acceptable policies are not always the most effective. This discrete choice experiment provides a novel investigation of the acceptability of different interventions to reduce alcohol consumption and the effect of information on expected effectiveness, using a UK general population sample of 1202 adults. Policy options included high, medium and low intensity versions of: Minimum Unit Pricing (MUP) for alcohol; reducing numbers of alcohol retail outlets; and regulating alcohol advertising. Outcomes of interventions were predicted for: alcohol-related crimes; alcohol-related hospital admissions; and heavy drinkers. First, the models obtained were used to predict preferences if expected outcomes of interventions were not taken into account. In such models around half of participants or more were predicted to prefer the status quo over implementing outlet reductions or higher intensity MUP. Second, preferences were predicted when information on expected outcomes was considered, with most participants now choosing any given intervention over the status quo. Acceptability of MUP interventions increased by the greatest extent: from 43% to 63% preferring MUP of £1 to the status quo. Respondents' own drinking behaviour also influenced preferences, with around 90% of non-drinkers being predicted to choose all interventions over the status quo, and with more moderate than heavy drinkers favouring a given policy over the status quo. Importantly, the study findings suggest public acceptability of alcohol interventions is dependent on both the nature of the policy and its expected effectiveness. Policy-makers struggling to mobilise support for hitherto unpopular but promising policies should consider giving greater prominence to their expected outcomes.

Best-worst scaling vs. discrete choice experiments: an empirical comparison using social care data.

This paper presents empirical findings from the comparison between two principal preference elicitation techniques: discrete choice experiments and profile-based best-worst scaling. Best-worst scaling involves less cognitive burden for respondents and provides more information than traditional "pick-one" tasks asked in discrete choice experiments. However, there is lack of empirical evidence on how best-worst scaling compares to discrete choice experiments. This empirical comparison between discrete choice experiments and best-worst scaling was undertaken as part of the Outcomes of Social Care for Adults project, England, which aims to develop a weighted measure of social care outcomes. The findings show that preference weights from best-worst scaling and discrete choice experiments do reveal similar patterns in preferences and in the majority of cases preference weights--when normalised/rescaled--are not significantly different.

The impact of patient choice of provider on equity: analysis of a patient survey.

OBJECTIVES: To understand the impact on equity of giving patients a choice of provider. METHODS: A postal survey of 5997 patients in four areas of England about choice at their recent referral and, using a discrete choice experiment, how they would choose in hypothetical situations. Binary logistic regression and a series of multinomial and nested logit models were used to analyse the data to discover whether patients with particular characteristics were more likely to: think choice is important; be offered a choice; and, choose a non-local provider. RESULTS: The response rate was 36%. Choice was more important to older patients aged 51-80 years, patients from non-white backgrounds, women, those with no qualifications and those with a bad past experience of their local hospital. There were no significant differences in who was offered a choice in terms of education, age group or ethnicity. In both real and hypothetical situations patients with no formal qualifications and those living in urban centres were more likely to choose their local hospital, and patients with a bad or mixed past experience at the local hospital were more likely to choose an alternative. In hypothetical choices those who do not normally travel by car and without Internet access were more likely to choose their local hospital irrespective of that hospital's characteristics. CONCLUSIONS: More educated, affluent patients were no more likely to be offered a choice than other population groups, but there does appear to be a social gradient in who chose to travel beyond the local area for treatment. If these results were replicated across England, there is at least the potential risk that when local hospitals are failing, patient choice could result in inequitable access to high quality care, rather than enhancing equity as the policy's architects had hoped.

Comparison of offensive agility techniques in Australian Rules football.

Agility skill is important in Australian Rules football (ARF) as it enables an attacking player to successfully evade an opponent. To date, no research has examined offensive agility techniques in ARF. There were two purposes of this study: first, to compare the change of direction (COD) speed of three offensive agility techniques, and second, compare the reaction speed and accuracy when observing the same techniques from a defensive perspective. The techniques included the side-step, shuffle, and split-step. Seventeen players from an Australian Football League club were required to perform four trials of each technique. COD speed was expressed as a total time, and divided into entry, foot plant preparation, and exit time. In addition, nineteen players from the same club were assessed on a video-based reaction test. Players were required to respond by depressing a thumb switch to indicate whether the player on screen changed direction to the left or right. From an offensive perspective, the split-step foot plant preparation time (0.66 s) was significantly slower than both the side-step (0.7 s) and shuffle (0.75 s) (p<0.05), but there were no significant differences in entry and exit times between techniques. From a defensive perspective, the players were significantly slower and less accurate when reacting to the player in the video performing the split-step (0.19 s) and shuffle (0.15 s) compared to the side-step (0.12 s) (p<0.05). In a one-on-one situation in ARF, the split-step may be the most effective offensive technique. Not only was it slower and less accurate to react to, the exit speed following the change in direction was not significantly slower than the side-step. However, a performer would need to consider the cost of a slower foot plant preparation time versus the potential to deceive an opponent when under time stress.

Estimating the value of social care.

Increasingly, health economists are required to work across sectors when evaluating options for improving health, health care and well-being. Social care is a key sector which is both influenced by and influences the use and outcomes of health services. This paper reports on a developing approach to measuring social care outcome, designed to reflect outcomes across client groups. In this process it is important that we reflect the relative importance or value of these domains of outcome. This paper reports on a pilot study that investigated the feasibility of using discrete choice experiments to identify a financial "willingness to accept" valuation of a large number of domains and investigated factors associated with variations in respondents' preferences. We conclude that, while the domains themselves need further work, the approach provides a helpful starting point in the difficult issue of reflecting population preferences for a large number of social care outcome domains.

The use of sprint tests for assessment of speed qualities of elite Australian rules footballers.

PURPOSE: The purpose of this study was to determine the relationships between split times within sprint tests over 30 m and 40 m in elite Australian Rules footballers. METHODS: Data were analyzed from two Australian Football League (AFL) clubs. The first club (n = 35) conducted a 40-m sprint test and recorded split times at 10 m and 20 m. The second club (n = 30) conducted a 30-m sprint test and recorded splits at 10 m and 20 m. Analyses included calculation of Pearson correlations and common variances between all the split times as well as "flying" times (20-40 m for the first club and 20 to 30 m for the second club). RESULTS: There was a high correlation (r = 0.94) between 10-m time and 20-m time within each club, indicating these measures assessed very similar speed qualities. The correlations between 10-m time and times to 30 m and 40 m decreased, but still produced common variances of 79% and 66% respectively. However when the "flying" times (20-40 m and 20-30 m) were correlated to 10-m time, the common variances decreased substantially to 25% and 42% respectively, indicating uniqueness. CONCLUSIONS: It was concluded that 10-m time is a good reflection of acceleration capabilities and either 20 to 40 m in a 40-m sprint test or 20 to 30 m in a 30-m sprint test can be used to estimate maximum speed capabilities. It was suggested that sprint tests over 30 m or 40 m can be conducted indoors to provide useful information about independent speed qualities in athletes.

Occupational asthma in a highly industrialized region of UK: report from a local surveillance scheme.

Estimates of the incidence of occupational asthma may be derived from surveillance schemes established in several countries. SHIELD is a voluntary surveillance scheme for occupational asthma in the West Midlands, a highly industrialized region of UK. The aim of this study was to estimate the general and specific incidence of occupational asthma in the West Midlands in 1990-97. The annual incidence was 41.2/million. There was a two fold difference in the incidence by sex (male 59.6/million/yr; female 27.4/million/yr). The highest annual incidence (53.2/million) was observed in the age group 45-64 yr (male) and 45-59 yr (female). Spray painters were the occupation at the highest risk of developing occupational asthma, followed by electroplaters, rubber and plastic workers, bakery workers and moulders. Although the percentage of reported cases was low among healthcare workers, there was a raising trend. Isocyanates still remained the most common causative agents with 190 (17.3%) out of the total 1097 cases reported to the surveillance scheme in seven years. There was a decrease in the reported cases due to colophony (9.5% to 4.6%), flour & wheat (8.9% to 4.9%). There was an increase of reported cases due to latex (0.4% to 4.9%) and glutaraldehyde (1.3% to 5.6%). The serial mesurement of peak expiratory flow at and away from work was the most used method of diagnosis to confirm the occupational cause of asthma. Specific bronchial challenge test with the occupational agents were used when the serial measurement of peak expiratory flow was not able to confirm undoubtdely the diagnostic suspicion or when it was difficult to identify the possible causative agent due to multiple exposures in the workplace. Following diagnosis, 24% of the patients were moved away from exposure within the same workplace in 1997, compared to 15.8% in the previous years. Those remaining exposed to the causative agent in the same workplace decreased from 28.3% to 17.7% between 1990-97. The surveillance of occupational asthma trough this voluntary scheme has allowed to monitor the incidence of the disease in the region and to identify clusters of cases, where control measures are a priority.

Radial nerve palsy owing to localized hypertrophic neuropathy (intraneural perineurioma) in early childhood.

Localized hypertrophic neuropathy, also termed intraneural perineurioma, is a rare disorder of unknown etiology that produces a slowly progressive painless focal lesion of a peripheral nerve. It is characterized histologically by concentric whorls ("onion bulbs") of epithelial membrane antigen-reactive, S-100 protein-negative perineurial cells surrounding nerve fibers. We report a radial nerve palsy in a child aged 2 years in whom the diagnosis of localized hypertrophic neuropathy was made by biopsy. Resection of the affected nerve segment and sural nerve grafting produced no useful recovery after 3 years, probably because of the long duration of denervation. When this mononeuropathy presents in early childhood, uncertainty over the time of onset can lead to difficulty in distinguishing this potentially treatable lesion from congenital and other causes of nerve palsy.

Do patients always prefer quicker treatment? : a discrete choice analysis of patients' stated preferences in the London Patient Choice Project.

The London Patient Choice Project (LPCP) was established to offer NHS patients more choice over where and when they receive treatment, and to reduce waiting times. The LPCP offered those patients waiting around 6 months for elective procedures a choice of treatment at an alternative NHS or private hospital, or treatment at an overseas hospital.The aim of this article is to investigate the following questions regarding patients' response to choice: (a) What are the factors that patients consider when deciding whether to accept the alternatives they are offered? (b) What is the relative importance to patients of each factor when making their choices, i.e. what trade-offs are patients prepared to make between time waited and other factors? (c) Are there any systematic differences between subgroups of patients (in terms of their personal, health and sociodemographic characteristics) in their response to choice?Patients' preferences were elicited using a discrete choice experiment. Patients eligible to participate in the LPCP were recruited prior to being offered their choice between hospitals and each presented with seven hypothetical choices via a self-completed questionnaire. Data were received from 2114 patients. Thirty percent of respondents consistently chose their 'current' over the 'alternative' hospital. All the attributes and levels examined in the experiment were found to exhibit a significant influence on patients' likelihood of opting for an alternative provider, in the expected direction. Age, education and income had an important effect on the 'uptake' of choice. Our results suggest several important implications for policy. First, there may be equity concerns arising from some patient subgroups being more predisposed to accept choice. Second, although reduced waiting time is important to most patients, it is not all that matters. For example, the reputation of the proffered alternatives is of key importance, suggesting careful thought is required about what information on quality and reputation can/should be made available and how it should be made available to facilitate informed choice.