A formal translation of the Assimilation-Accommodation Coping Scale from German to Dutch

The Assimilation-Accommodation Coping Scale was developed in Germany by Brandtstädter and Renner and applied in the UK and the Netherlands. A formal translation was never reported. Such formal translation was warranted as we found ambivalent language and atypical sentences in the Dutch translation. We therefore organised a formal forwards and backwards translation from German to Dutch. This report gives the details of that process and pr

Keep it simple: ranking health states yields values similar to cardinal measurement approaches

Abstract OBJECTIVES: To examine the relationship between ordinal and cardinal valuation of health states. STUDY DESIGN AND SETTING: We analyzed rank, visual analog scale (VAS), and time trade-off (TTO) responses for 52 health states defined using the EQ-5D classification system developed by the EuroQol Group. We analyzed 179,431 responses from 11,483 subjects in eight countries: Slovenia, Argentina, Denmark, Japan, Netherlands, Spain, United Kingdom, and United States. We first compared responses across methods by frequency of ties and values below dead. Ordinal associations between methods were evaluated using Spearman's correlation and Kendall's tau. Next, we estimated numerical values from rank responses using country-specific conditional logit models. After anchoring predicted values on a common scale, we further investigated the cardinal relationships between rank, VAS, and TTO-based values using Pearson's rho and quadratic regression. RESULTS: For each country, rank responses are less likely than TTO responses to be tied and to indicate that states are worse than dead. In all countries, rank responses show a strong linear correlation with both TTO (Pearson's rho=0.88-0.99) and VAS (rho=0.91-0.98) responses. However, rank-ba

Valuation of EQ-5D Health States in Poland: First TTO-Based Social Value Set in Central and Eastern Europe

ABSTRACTObjectiveCurrently, there is no EQ-5D value set for Poland. The primary objective of this study was to elicit EQ-5D Polish values using the time trade-off (TTO) method.MethodsFace-to-face interviews with visitors of inpatients in eight medical centers in Warsaw, Skierniewice, and Puławy were carried out by trained interviewers. Quota sampling was used to achieve a representative sample of the Polish population with regard to age and sex. Modified protocol from the Measurement and Value of Health study was used. Each respondent ranked 10 health states and valued 4 health states using the visual analog scale and 23 using the TTO. Mean and variance stability tests were performed to determine whether using a larger number of health states per respondent would yield credible results. Modeling included random effects and random parameters models.ResultsBetween February and May 2008, 321 interviews were performed. Modeling based on 6777 valuations resulted in an additive model with all coefficients statistically significant, R2 equal to 0.45, and value −0.523 for the worst possible health state. Means and variance did not differ significantly for states valued in the middle and at the end of the TTO exercise.ConclusionsThis is the first EQ-5D value set based on TTO in Central and Eastern Europe so far. Because the values differ considerably from those elicited in Western European countries, its use should be recommended for studies in Poland. Increasing the number of health states that each respondent is asked to value using TTO seems feasible and justifiable

Development of the Treatment Inventory of Costs in Psychiatric Patients: TIC-P Mini and Midi

AbstractBackgroundMedical costs of (psychiatric) illness can be validly measured with patient report questionnaires. These questionnaires comprise many detailed items resulting in lengthy administrations.ObjectivesWe set out to find the minimal number of items needed to retrieve 80% and 90% of the costs as measured by the Treatment Inventory of Costs in Patients with psychiatric disorders (TIC-P).MethodsThe TIC-P is a validated patient-reported outcome measure concerning the utilization of medical care and productivity losses. The present study focused on direct medical costs. We applied data of 7756 TIC-P administrations from three studies in patients with mental health care issues. Items that contribute least to the total cost were eliminated, providing that 80% and 90% of the total cost was retained.ResultsAverage medical costs per patient were €658 over the last 4 weeks. The distribution of cost was highly skewed, and 5 of the 14 items of the TIC-P accounted for less than 10% of the total costs. The 80% Mini version of the TIC-P required five items: ambulatory services, private practice, day care, general hospital, and psychiatric clinic. The TIC-P Midi 90% inventory required eight items. Both had variance between the three samples in the optimal choice of the items.ConclusionsThe number of items of the TIC-P can be reduced considerably while maintaining 80% and 90% of the medical costs estimated by the complete TIC-P. The reduced length makes the questionnaire more suitable for routine outcome monitoring

EQ-5D-Y-3L and EQ-5D-Y-5L proxy report:psychometric performance and agreement with self-report

BACKGROUND: Self-report is the standard for measuring people’s health-related quality of life (HRQoL), including children. However, in certain circumstances children cannot report their own health. For this reason, children’s HRQoL measures often provide both a self-report and a proxy-report form. It is not clear whether the measurement properties will be the same for these two forms. We investigated whether it would be beneficial to extend the classification system of the EQ-5D-Y proxy questionnaire from 3 to 5 response levels. The agreement between self-report and proxy-report was assessed for both EQ-5D-Y measures. METHODS: The study included 286 pediatric patients and their caregivers as proxies. At three consecutive measurements—baseline, test–retest and follow-up—the proxies assessed the child’s HRQoL using the EQ-5D-Y-3L, EQ-5D-Y-5L, the PedsQL Generic, and matched disease-specific instruments. The proxy versions of EQ-5D-Y-3L and EQ-5D-Y-5L were compared in terms of feasibility, distribution properties, convergent validity, test–retest and responsiveness. Agreement between both EQ-5D-Y proxy versions to their respective self-report versions was assessed at baseline and follow-up. RESULTS: The proportion of missing responses was 1% for the EQ-5D-Y-3L and 1.4% for the EQ-5D-Y-5L. The frequency of health state with no problems in all dimensions (11111) was slightly lower for the EQ-5D-Y-5L (21.3% vs 16.7%). Regarding the convergent validity with the PedsQL and disease-specific measures, the proxy versions of EQ-5D-Y-3L and EQ-5D-Y-5L had similar magnitudes of associations between similar dimensions. The means of test–retest coefficients between the two versions of the EQ-5D-Y proxy were comparable (0.83 vs. 0.84). Regarding reported improved conditions, responsiveness of the EQ-5D-Y-5L proxy (26.6–54.1%) was higher than that of the EQ-5D-Y-3L proxy (20.7–46.4%). Except for acutely ill patients, agreement between the EQ-5D-Y-5L proxy and self-reports was at least moderate. CONCLUSIONS: Extending the number of levels of the proxy version of EQ-5D-Y can improve the classification accuracy and the ability to detect health changes over time. The level structure of EQ-5D-Y-5L was associated with a closer agreement between proxy and self-report. The study findings support extending the EQ-5D-Y descriptive system from 3 to 5 levels when administered by a proxy, which is often the case in the pediatric population

Finding legitimacy for the role of budget impact in drug reimbursement decisions

OBJECTIVES: Research has shown that effectiveness, cost-effectiveness, and severity of illness each play a role in drug reimbursement decisions. However, the role of budget impact in such decisions is less obvious. Policy makers almost always demand a budget impact estimate yet seem reluctant to formally include budget impact as a rationing criterion. Health economists even reject budget impact as a legitimate criterion. For these reasons, it is important to examine its use in rationing decisions, and rationales underlying its use. METHODS: We trace several rationales supporting the use of budget impact through a literature review, supplemented by semistructured interviews with eleven key stakeholders involved in drug reimbursement decisions in the Netherlands. RESULTS: Budget impact arguments are used in certain instances, although policy makers appear uncomfortable with its use because well described rationales still are lacking. In addition, we identify the following rationales to support budget impact as a rationing criterion: opportunity costs, loss aversion, uncertainty and equal opportunity. CONCLUSIONS: Budget impact plays a role in drug reimbursement decisions and has rationales to support its use. However, policy makers do not easily admit that they consider budget impact and are even reluctant to explicitly use budget impact as a formal criterion. A debate would strengthen the theoretical foundation of budget impact a

The effectiveness of a training for patients with unexplained physical symptoms: protocol of a cognitive behavioral group training and randomized controlled trial

Abstract: BACKGROUND: In primary care, up to 74% of physical symptoms is classified as unexplained. These symptoms can cause high levels of distress and healthcare utilization. Cognitive behavioral therapy has shown to be effective, but does not seem to be attractive to patients. An exception herein is a therapy based on the consequences model, which distinguishes itself by its labeling of psychosocial distress in terms of consequences rather than as causes of physical symptoms. In secondary care, 81% of the patients accepts this therapy, but in primary care the outcome is poor. We assume that positive outcome can also be reached in primary care, when the consequences model is modified and used bottom-up in an easily accessible group training, in which patients are relieved of being blamed for their symptoms. Our aim is to investigate the (cost-)effectiveness of this training. METHODS AND DESIGN: A randomized controlled trial is designed. One hundred patients are randomized to either the group training or the waiting list. Physicians in general practices and outpatients clinics of general hospitals refer patients. Referral leads to inclusion if patients are between 18 and 65 years old, understand Dutch, have no handicaps impeding participation and the principal DSM-IV-TR classification is undifferentiated somatoform disorder or chronic pain disorder. In contrast to other treatment effect studies, the co-morbidity of a personality disorder does not lead to exclusion. By this, we optimize the comparability between the study population and patients in daily practice enlarging the generalization possibilities. Also in contrast to other effect studies, we chose quality of life (SF-36) instead of physical symptoms as the primary outcome measure. The SF-6D is used to estimate Quality Adjusted Life Years (QALYs). Costs are measured with the Trimbos/iMTA Questionnaire for Costs associated with Psychiatric Illness. Measurements are scheduled at baseline, after the training or waiting list, three and twelve months after the training. The differences between measurements are analyzed according to the intention-to-treat principle. The cost-effectiveness is expressed as costs per QALY, using multiple sensitivity analyses on the basis of a probabilistic model of the trial. DISCUSSION: If we show that our group training is (cost-)effective, more patients could be served, their quality of life could be improved while costs might be reduced. As the training is investigated in a heterogeneous patient group i

Estimating an EQ-5D-Y-3L Value Set for Indonesia by Mapping the DCE onto TTO Values

BACKGROUND AND OBJECTIVES: Methods for estimating health values in adult populations are well developed, but lag behind in children. The EuroQol standard protocol to arrive at value sets for the youth version of the EQ-5D-Y-3L combines discrete choice experiments with ten composite time trade-off values. Whether ten composite time trade-off values are sufficient remains to be seen and this is one of the reasons the protocol allows for experimental expansion. In this study, 23 health states were administered for the composite time trade-off. This methodological research is embedded in a study aimed at generating a representative value set for EQ-5D-Y-3L in Indonesia. METHODS: A representative sample of 1072 Indonesian adults each completed 15 discrete choice experiment choice pairs via face-to-face interviews. The discrete choice experiment responses were analysed using a mixed-logit model. To anchor the discrete choice experiment values onto the full health-dead quality-adjusted life-year scale, composite time trade-off values were separately obtained from 222 adults living in Java for 23 EQ-5D-Y-3L states. The derived latent discrete choice experiment values were mapped onto the mean observed composite time trade-off values to create a value set for the EQ-5D-Y-3L. Linear and non-linear mapping models were explored to estimate the most efficient and valid model for the value set. RESULTS: Coefficients obtained from the choice model were consistent with the monotonic structure of the EQ-5D-Y-3L instrument. The composite time trade-off data showed non-linearity, as the values for the two worst states being evaluated were much lower than predicted by a standard linear model estimated over all composite time trade-off data. Thus, the non-linear mapping strategies with a power term outperformed the linear mapping in terms of mean absolute error. The final model gave a value range from 1.000 for full health (11111) to − 0.086 for the worst health state (33333). Values were most affected by pain/discomfort and least by self-care. CONCLUSIONS: This article presents the first EQ-5D-Y-3L value set for Indonesia based on the stated preferences of adults asked to consider their views about a 10-year-old child. Mapping the mixed-logit discrete choice experiment model with the inclusion of a power term (without a constant) allowed us to generate a consistent value set for Indonesian youth. Our findings support the expansion of the composite time trade-off part of the EQ-5D-Y valuation study design and show that it would be wise to account for possible non-linearities in updates of the design