Exploring preferences of different modes of administration of hypomethylating agent treatments among patients with acute myeloid leukemia.

Introduction: About half of patients with Acute Myeloid Leukemia (AML) are not eligible for Standard Induction Chemotherapy (SIC). Hypomethylating Agents (HMAs) intravenously (IV) or subcutaneously (SC) in a clinical setting are typically offered as an alternative. However, injectable HMAs may be burdensome for patients given the frequent hospital visits and side effects. This study explored patient treatment preferences for different modes of administration (MOA) and the relative importance of treatment-related characteristics that influence treatment decisions. Methods: Semi-structured 1:1 interviews were conducted with 21 adult patients with AML in Germany, the United Kingdom, and Spain, who are not eligible for SIC, had experience with HMAs or were scheduled to be treated with HMAs. After discussing their experience of living with AML and its treatments, patients were presented with hypothetical treatment scenarios to explore their preferences, and a ranking exercise to assess the relative importance of treatment characteristics that influence their treatment-decisions for AML. Results: Most patients reported an overall preference for oral administration over parenteral routes (71%), mostly due to convenience. Those preferring IV or SC routes (24%) reasoned with faster speed of action and onsite monitoring. When presented with a hypothetical situation of a patient having to choose between two AML treatments that were identical except for their MOA, the majority preferred the oral route (76%). Regarding treatment characteristics that influence treatment decisions, patients most frequently reported efficacy (86%) and side effects (62%) as important, followed by mode of administration (29%), daily life impacts (24%) and location of treatment (hospital versus home) (14%). However, only efficacy and side effects were rated as number one deciding factors (67% and 19%, respectively). Patients most frequently rated dosing regimen (33%) as least important. Conclusion: The insights gained from this study may help support patients with AML who are receiving HMA treatment instead of SIC. A potential oral HMA with similar efficacy and tolerability profiles to injectable HMAs could influence treatment decisions. Furthermore, an oral HMA treatment might decrease the burden of parenteral therapies and improve patients' overall quality of life. However, the extent of influence MOA has on treatment decisions requires further investigation.

Physician treatment preferences for relapsed/refractory multiple myeloma: a discrete choice experiment.

Aim: This study aimed to assess physician preferences for later lines (third to fifth) of therapy in patients with relapsed/refractory multiple myeloma (RRMM) in the USA. Materials & methods: Factors relevant to physicians' treatment preferences for RRMM were identified from a literature search and refined in a qualitative phase. Preferences were quantitatively assessed using a discrete choice experiment. Physicians (n = 227) made choices regarding treatment scenarios for RRMM. Results: Efficacy had the highest mean relative importance, with overall survival valued as most important when making treatment decisions for patients with RRMM. Reduced incidences of keratopathy and thrombocytopenia had similar relative importance in later-line treatment. Conclusion: Greater understanding of physicians' criteria for clinical decision-making may help inform wider adoption of new treatments.

When deciding which treatment patients with relapsed or refractory multiple myeloma should receive, physicians have to weigh the benefits of each treatment against the risk of side effects. This study required physicians to complete a survey on aspects involved in their treatment decisions and identified those of highest importance. Physicians chose patient survival as the most important factor and minimization of side effects as less important considerations. Reducing patients' risk of developing corneal conditions or low platelet (a type of blood cell) count were of equal importance to doctors. Understanding physicians' treatment preferences and the reasons behind them will help identify gaps in education about new therapies as they become available.

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.

What's important when caring for a loved one? Population-based preference weights for the Adult Social Care Outcomes Toolkit for informal carers (ASCOT-Carer) for Austria.

PURPOSE: The Adult Social Care Outcomes Toolkit for informal carers (ASCOT-Carer) can be used to assess long-term care-related quality of life (LTC-QoL) of adult informal carers of persons using LTC services. The ASCOT-Carer instrument has been translated into several languages, but preference weights reflecting the relative importance of different outcome states are only available for England so far. In this paper, we estimated preference weights for the German version of the ASCOT-Carer for Austria and investigated the value people place on different QoL-outcome states. METHODS: We used data from a best-worst scaling (BWS) experiment and estimated a scale-adjusted multinomial logit (S-MNL) model to elicit preference weights for the ASCOT-Carer domain-levels. Data were collected using an online survey of the Austrian general population (n = 1001). RESULTS: Top levels in the domains of 'Space and time to be yourself', 'Occupation' and 'Control over daily life' were perceived as providing the highest utility, and states with high needs in the same domains seen as particularly undesirable. 'Personal safety' was the only domain where levels were roughly equidistant. In all other domains, the difference between the top two levels ('ideal state' and 'no needs') was very small. CONCLUSION: The paper provides preference weights for the German version of ASCOT-Carer to be used in Austrian populations. Furthermore, the results give insight into which LTC-QoL-outcomes are seen as particularly (un)desirable, and may therefore help to better tailor services directed at informal carers and the persons they care for.

Rasch analysis of the long-term conditions questionnaire (LTCQ) and development of a short-form (LTCQ-8).

BACKGROUND: The aim of the current study was to evaluate the structural validity of the 20-item long-term conditions questionnaire (LTCQ) and to explore a potential short-form version of the scale using Rasch analysis. METHODS: Data were collected through postal surveys (February 2016-January 2017) from a sample of 1,211 participants diagnosed with at least one long-term condition (LTC). Identified participants were invited through either local authorities for a social care cohort (n = 294) or primary care practices for a health care cohort (n = 917). Participants were mailed a survey, including the LTCQ, demographic questions, a comorbidities measure, and other validated outcome measures. Respondents were invited to complete a follow-up survey including the LTCQ for assessment of reproducibility. RESULTS: The main assumptions of the Rasch model from the LTCQ were fulfilled, although infit and outfit indices indicated some items showed misfit. Misfitted items, items that did not have a preceding set or showed some local dependence were removed one at a time, with the remaining candidate items to form an 8-item short version, the LTCQ-8. The Rasch model for the LTCQ-8 explained 64% variance and had a reliability estimate greater than 0.80. Several items in the LTCQ showed uniform differential item function (DIF) in relation to the number of reported LTCs, age, cohort and type of LTCs, but fewer items exhibited DIF in the LTCQ-8. Spearman's rho correlations between the LTCQ and the LTCQ-8 were strong across the total sample and various subgroups. Correlations between the LTCQ-8 and all reference measures were moderate to strong, and comparable to correlations found between the LTCQ and these measures. CONCLUSIONS: The LTCQ measures a unidimensional construct, and it is therefore acceptable to use a summed total score. The LTCQ-8 also met the assumption of unidimensionality and had comparable construct validity with the LTCQ. Additional validation is required in an independent sample.

Estimating EQ-5D utilities based on the Short-Form Long Term Conditions Questionnaire (LTCQ-8).

PURPOSE: The aim of this work was to develop a mapping algorithm for estimating EuroQoL 5 Dimension (EQ-5D) utilities from responses to the Long-Term Conditions Questionnaire (LTCQ), thus increasing LTCQ's potential as a comprehensive outcome measure for evaluating integrated care initiatives. METHODS: We combined data from three studies to give a total sample of 1334 responses. In each of the three datasets, we randomly selected 75% of the sample and combined the selected random samples to generate the estimation dataset, which consisted of 1001 patients. The unselected 25% observations from each dataset were combined to generate an internal validation dataset of 333 patients. We used direct mapping models by regressing responses to the LTCQ-8 directly onto EQ-5D-5L and EQ-5D-3L utilities as well as response (or indirect) mapping to predict the response level that patients selected for each of the five EQ-5D-5L domains. Several models were proposed and compared on mean squared error and mean absolute error. RESULTS: A two-part model with OLS was the best performing based on the mean squared error (0.038) and mean absolute error (0.147) when estimating the EQ-5D-5L utilities. A multinomial response mapping model using LTCQ-8 responses was used to predict EQ-5D-5L responses levels. CONCLUSIONS: This study provides a mapping algorithm for estimating EQ-5D utilities from LTCQ responses. The results from this study can help broaden the applicability of the LTCQ by producing utility values for use in economic analyses.

Population-based preference weights for the Adult Social Care Outcomes Toolkit (ASCOT) for service users for Austria: Findings from a best-worst experiment.

BACKGROUND: The Adult Social Care Outcomes Toolkit (ASCOT) measures quality-of-life (QoL) outcomes of long-term care (LTC) service provision. Country-specific preference weights are required to calculate ASCOT scores. ASCOT has been translated into German, but lacks preference weights for German-speaking countries. OBJECTIVES: This paper aims to establish Austrian preference weights for the German version of the ASCOT service user measure, using best-worst scaling (BWS). METHODS: Data were collected using an online BWS-experiment from a general population sample (n=1,000) of Austrian adults. We use a scale-adjusted multinomial logit model (S-MNL) accounting for positioning effects to estimate preference weights. RESULTS: Austrians value the top attribute-levels in the ASCOT domains 'being meaningfully occupied during the day' and 'having control over daily life' most highly, whereas high needs were the least preferred in the domains 'dignity' and 'social participation'. From a methods perspective, we found significant positioning effects only for 'best' choices, with statements at the top of a list being picked more often than those further down in the list. Factors related to survey completion (self-assessed understanding of the tasks and survey completion time) were shown to have the greatest effect on individual choice consistency. DISCUSSION: The paper provides Austrian preference weights for the German version of ASCOT for service users. The weights also provide insight into how Austrians value different LTC-QoL states. Future research may investigate how values for different LTC-QoL states differ between socioeconomic groups.

Development of Japanese utility weights for the Adult Social Care Outcomes Toolkit (ASCOT) SCT4.

PURPOSE: In developed countries, progressive rapid aging is increasing the need for social care. This study aimed to determine Japanese utility weights for the Adult Social Care Outcomes Toolkit (ASCOT) four-level self-completion questionnaire (SCT4). METHODS: We recruited 1050 Japanese respondents from the general population, stratified by sex and age, from five major cities. In the best-worst scaling (BWS) phase, respondents ranked various social care-related quality of life (SCRQoL) states as "best," "worst," "second-best," or "second-worst," as per the ASCOT. Then, respondents were asked to evaluate eight different SCRQOL states by composite time-trade off (cTTO). A mixed logit model was used to analyze BWS data. The association between cTTO and latent BWS scores was used to estimate a scoring formula that would convert BWS scores to SC-QALY (social care quality-adjusted life year) scores. RESULTS: Japanese BWS weightings for ASCOT-SCT4 were successfully estimated and found generally consistent with the UK utility weights. However, coefficients on level 3 of "Control over daily life" and "Occupation" domains differed markedly between Japan and the UK. The worst Japanese SCRQoL state was lower than that for the UK, as Japanese cTTO results showed more negative valuations. In general, Japanese SC-QALY score (for more than 90% of health states) was lower than that for the UK. CONCLUSIONS: We successfully obtained Japanese utility weights for ASCOT SCT4. This will contribute to the measurement and understanding of social care outcomes.

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.

Long-Term Conditions Questionnaire (LTCQ): initial validation survey among primary care patients and social care recipients in England.

OBJECTIVE: The aim of this study was to validate a new generic patient-reported outcome measure, the Long-Term Conditions Questionnaire (LTCQ), among a diverse sample of health and social care users in England. DESIGN: Cross-sectional validation survey. Data were collected through postal surveys (February 2016-January 2017). The sample included a healthcare cohort of patients recruited through primary care practices, and a social care cohort recruited through local government bodies that provide social care services. PARTICIPANTS: 1211 participants (24% confirmed social care recipients) took part in the study. Healthcare participants were recruited on the basis of having one of 11 specified long-term conditions (LTCs), and social care participants were recruited on the basis of receiving social care support for at least one LTC. The sample exhibited high multimorbidity, with 93% reporting two or more LTCs and 43% reporting a mental health condition. OUTCOME MEASURES: The LTCQ's construct validity was tested with reference to the EQ-5D (5-level version), the Self-Efficacy for Managing Chronic Disease scale, an Activities of Daily Living scale and the Bayliss burden of morbidity scale. RESULTS: Low levels of missing data for each item indicate acceptability of the LTCQ across the sample. The LTCQ exhibits high internal consistency (Cronbach's α=0.95) across the scale's 20 items and excellent test-retest reliability (intraclass correlation coefficient=0.94, 95% CI 0.93 to 0.95). Associations between the LTCQ and all reference measures were moderate to strong and in the expected directions, indicating convergent construct validity. CONCLUSIONS: This study provides evidence for the reliability and validity of the LTCQ, which has potential for use in both health and social care settings. The LTCQ could meet a need for holistic outcome measurement that goes beyond symptoms and physical function, complementing existing measures to capture fully what it means to live well with LTCs.

The Development and Validation of the Empathy Components Questionnaire (ECQ).

Key research suggests that empathy is a multidimensional construct comprising of both cognitive and affective components. More recent theories and research suggest even further factors within these components of empathy, including the ability to empathize with others versus the drive towards empathizing with others. While numerous self-report measures have been developed to examine empathy, none of them currently index all of these wider components together. The aim of the present research was to develop and validate the Empathy Components Questionnaire (ECQ) to measure cognitive and affective components, as well as ability and drive components within each. Study one utilized items measuring cognitive and affective empathy taken from various established questionnaires to create an initial version of the ECQ. Principal component analysis (PCA) was used to examine the underlying components of empathy within the ECQ in a sample of 101 typical adults. Results revealed a five-component model consisting of cognitive ability, cognitive drive, affective ability, affective drive, and a fifth factor assessing affective reactivity. This five-component structure was then validated and confirmed using confirmatory factor analysis (CFA) in an independent sample of 211 typical adults. Results also showed that females scored higher than males overall on the ECQ, and on specific components, which is consistent with previous findings of a female advantage on self-reported empathy. Findings also showed certain components predicted scores on an independent measure of social behavior, which provided good convergent validity of the ECQ. Together, these findings validate the newly developed ECQ as a multidimensional measure of empathy more in-line with current theories of empathy. The ECQ provides a useful new tool for quick and easy measurement of empathy and its components for research with both healthy and clinical populations.