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Introduction: Effectiveness of oral anticoagulants (OACs) is critically dependent on patients' adherence to intake regimens. We studied the relative impact of attributes related to effectiveness, safety, convenience, and costs on the value of OAC therapy from the perspective of patients with non-valvular atrial fibrillation., Methods: Four attributes were identified by literature review and expert interviews: effectiveness (risk of ischemic stroke), safety (risk of major bleeding, minor bleeding, gastrointestinal complaints), convenience (intake frequency, diet restrictions, international normalized ratio [INR] blood monitoring, pill type/intake instructions), and out-of-pocket costs. Focus groups were held in Spain, Germany, France, Italy and the United Kingdom (N = 48) to elicit patients' preferences through the use of the analytical hierarchy process method., Results: Effectiveness (60%) and side effects (27%) have a higher impact on the perceived value of OACs than drug convenience (7%) and out-of-pocket costs (6%). As for convenience, eliminating monthly INR monitoring was given the highest priority (40%), followed by reducing diet restrictions (27%), reducing intake frequency (17%) and improving the pill type/intake instructions (15%). The most important side effect was major bleeding (75%), followed by minor bleeding (15%) and gastrointestinal complaints (10%). Furthermore, 71% of patients preferred once-daily intake to twice-daily intake., Discussion: Although the relative impact of convenience on therapy value is small, patients have different preferences for options within convenience criteria. Besides considerations on safety and effectiveness, physicians should also discuss attributes of convenience with patients, as it can be assumed that alignment to patient preferences in drug prescription and better patient education could result in higher adherence.

Objectives: To examine patients' perspectives regarding composite endpoints and the utility patients put on possible adverse outcomes of revascularization procedures., Design: In the PRECORE study, a stated preference elicitation method Best-Worst Scaling (BWS) was used to determine patient preference for 8 component endpoints (CEs): need for redo percutaneous coronary intervention (PCI) within 1 year, minor stroke with symptoms <24 hours, minor myocardial infarction (MI) with symptoms <3 months, recurrent angina pectoris, need for redo coronary artery bypass grafting (CABG) within 1 year, major MI causing permanent disability, major stroke causing permanent disability and death within 24 hours., Setting: A tertiary PCI/CABG centre., Participants: One hundred and sixty patients with coronary artery disease who underwent PCI or CABG., Main Outcome Measures: Importance weights (IWs)., Results: Patients considered need for redo PCI within 1 year (IW: 0.008), minor stroke with symptoms <24 hours (IW: 0.017), minor MI with symptoms <3 months (IW: 0.027), need for redo CABG within 1 year (IW: 0.119), recurrent angina pectoris (IW: 0.300) and major MI causing permanent disability (IW: 0.726) less severe than death within 24 hours (IW: 1.000). Major stroke causing permanent disability was considered worse than death within 24 hours (IW: 1.209). Ranking of CEs and the relative values attributed to the CEs differed among subgroups based on gender, age and educational level., Conclusion: Patients attribute different weight to individual CEs. This has significant implications for the interpretation of clinical trial data., (© 2018 The Author. Health Expectations published by John Wiley & Sons Ltd.)

Objective: The objective of this study was to explore the perceived advantages and disadvantages of oral anticoagulant therapies (OAT), and the trade-offs patients make in choosing therapy and adhering to their drug regimen., Methods: Five focus group sessions were conducted across Europe among patients with atrial fibrillation to identify the most important factors impacting OAT's value and adherence., Results: The most frequently identified barriers to OAT were lack of knowledge; poor patient-physician relationships; distraction due to employment or social environment; prior bleeding event(s) or the fear of bleeding; and changes in routine. Factors identified as promoting adherence included patients' personality, motivation, attitudes, and medication-taking habits and routines, as well as good quality health services. Inconvenient aspects of vitamin-K antagonists, such as regular blood monitoring and diet restrictions, were not reported to influence adherence, but may trigger patients to switch to direct oral anticoagulants., Conclusion: Most patients reported that a mixture of modifiable and non-modifiable factors helps them to take their drugs as prescribed. Individual patients' particular needs and preferences regarding OAT vary., Practice Implications: OAT adherence can be promoted if therapies are tailored to patients' needs and preferences. Patients should be supported to share their preferences with their clinician., (Copyright © 2018 The Authors. Published by Elsevier B.V. All rights reserved.)

Background: There is an increased practice of using value clarification exercises in decision aids that aim to improve shared decision making. Our objective was to systematically review to which extent conjoint analysis (CA) is used to elicit individual preferences for clinical decision support. We aimed to identify the common practices in the selection of attributes and levels, the design of choice tasks, and the instrument used to clarify values., Methods: We searched Scopus, PubMed, PsycINFO, and Web of Science to identify studies that developed a CA exercise to elicit individual patients' preferences related to medical decisions. We extracted data on the above-mentioned items., Results: Eight studies were identified. Studies included a fixed set of 4-8 attributes, which were predetermined by interviews, focus groups, or literature review. All studies used adaptive conjoint analysis (ACA) for their choice task design. Furthermore, all studies provided patients with their preference results in real time, although the type of outcome that was presented to patients differed (attribute importance or treatment scores). Among studies, patients were positive about the ACA exercise, whereas time and effort needed from clinicians to facilitate the ACA exercise were identified as the main barriers to implementation., Discussion: There is only limited published use of CA exercises in shared decision making. Most studies resembled each other in design choices made, but patients received different feedback among studies. Further research should focus on the feedback patients want to receive and how the CA results fit within the patient-physician dialogue.

Objectives: To explore patient preference for vascular access site in percutaneous coronary procedures, the perceived importance of benefits and risks of transradial access (TRA) and transfemoral access (TFA) were assessed. In addition, direct preference for vascular access and preference for shared decision making (SDM) were evaluated., Background: TRA has gained significant ground on TFA during the last decades. Surveys on patient preference have mostly been performed in dedicated TRA trials., Methods: In the PREVAS study (Clinicaltrials.gov: NCT02625493) a stated preference elicitation method best-worst scaling (BWS) was used to determine patient preference for six treatment attributes: bleeding, switch of access-site, postprocedural vessel quality, mobilization and comfort, and over-night stay. Based on software-generated treatment scenarios, 142 patients indicated which characteristics they perceived most and least important in treatment choice. Best-minus-Worst scores and attribute importance were calculated., Results: Bleeding risk was considered most important (attribute importance 31.3%), followed by length of hospitalization (22.6%), and mobilization(20.2%). Most patients preferred the approach of their current procedure (85.9%); however, 71.1% of patients with experience with both access routes favored TRA (P < 0.001). Most patients (38.0%) appreciated SDM, balanced between patient and cardiologist., Conclusions: Patients appreciate lower bleeding risk and early ambulation, factors favoring TRA. Previous experience with a single access route has a major impact on preference, while experience with both routes generally resulted in preference for TRA. Most patients prefer balanced SDM. © 2017 The Authors Catheterization and Cardiovascular Interventions Published by Wiley Periodicals, Inc., (© 2017 The Authors Catheterization and Cardiovascular Interventions Published by Wiley Periodicals, Inc.)

Background: Patient and public preferences for therapeutic outcomes or medical technologies are often elicited, and discordance between the two is frequently reported., Objective: Our main objective was to compare patient and public preferences for treatment attributes in Parkinson's disease (PD)., Methods: A representative sample from Dutch PD patients and the general public were invited to complete a best-worst scaling case 2 experiment consisting of six health-related outcomes and one attribute describing the specific treatment (brain surgery, pump, oral medication). Data were analyzed using mixed logit models, and attribute impact was estimated and compared between populations (and population subgroups)., Results: Both the public (N = 276) and patient (N = 198) populations considered treatment modality the most important attribute, although patients assigned higher relative importance. Both groups assigned high disutility to pump infusion and brain surgery and preferred drug treatment. Most health outcomes were valued equally by patients and the public, with the exception of reducing dizziness (more important to the public) and improving slow movement (more important to patients)., Discussion: Although these data do not support definite conclusions on whether patients are less likely to undergo invasive treatments, the (predicted) choice probability of undergoing brain surgery or having pump infusion technology would be low based on the (un)desirability of the attribute levels. Patients with PD might have adapted to their condition and are not willing to undergo advanced treatments in order to receive health improvements. Both public and patient preferences entail information that is potentially relevant for decision makers, and patient preferences can inform decision makers about the likelihood of adaptation to a specific condition.

Background: Breast cancer is the top cancer by incidence and mortality in Singaporean women. Mammography is by far its best screening tool, but current recommended age and interval may not yield the most benefit. Recent studies have demonstrated the potential of single nucleotide polymorphisms (SNPs) to improve discriminatory accuracy of breast cancer risk assessment models. This study was conducted to understand Singaporean women's views towards breast cancer screening and SNPs gene testing to guide personalised screening strategies., Methods: Focus group discussions were conducted among English-speaking women (n = 27) between 40 to 65 years old, both current and lapsed mammogram users. Women were divided into four groups based on age and mammogram usage. Discussions about breast cancer and screening experience, as well as perception and attitude towards SNPs gene testing were conducted by an experienced moderator. Women were also asked for factors that will influence their uptake of the test. Transcripts were analysed using thematic analysis to captured similarities and differences in views expressed., Results: Barriers to repeat mammogram attendance include laziness to make appointment and painful and uncomfortable screening process. However, the underlying reason may be low perceived susceptibility to breast cancer. Facilitators to repeat mammogram attendance include ease of making appointment and timely reminders. Women were generally receptive towards SNPs gene testing, but required information on accuracy, cost, invasiveness, and side effects before they decide whether to go for it. Other factors include waiting time for results and frequency interval. On average, women gave a rating of 7.5 (range 5 to 10) when asked how likely they will go for the test., Conclusion: Addressing concerns such as pain and discomfort during mammogram, providing timely reminders and debunking breast cancer myths can help to improve screening uptake. Women demonstrated a spectrum of responses towards a novel test like SNPs gene testing, but need more information to make an informed decision. Future public health education on predictive genetic testing should adequately address both benefits and risks. Findings from this study is used to inform a discrete choice experiment to empirically quantify women preferences and willingness-to-pay for SNPs gene testing.

Background: Prescribing antipsychotics to patients with neuropsychiatric symptoms is a matter of concern. Physicians have to make treatment decisions for patients with dementia together with proxies and/or nurses. However, it is unknown whether physicians, nurses, and proxies' treatment preferences are aligned; hence this study., Methods: Sixteen treatment attributes were selected to elicit the preferences of physicians and nurses. Ten of these attributes were used for the proxies. Preferences were estimated using a case-1 Best-Worst-Scaling design; respondents are asked to select the best and worst attribute on being presented with a hypothetical patient with dementia demonstrating neuropsychiatric symptoms. The treatments offered are: antipsychotic treatment or non-pharmaceutical regimens., Results: The questionnaire was filled in by 41 physicians, 81 nurses, and 59 proxies. The non-pharmacological treatment option was chosen by 52% of the proxies and 71% of the physicians and nurses. The respondents who chose antipsychotics rated the aspects "fastest result" and "most effective" as important. Physicians ranked "experience with antipsychotics" as an important aspect for prescribing antipsychotics. Only the proxies rated the aspect "having a low negative effect on the patient" as important. The nurses and elderly care physicians who chose the non-pharmaceutical treatment ranked "appropriateness" and "of little burden to the patient" as important aspects., Conclusions: While doctors and nurses prefer non-pharmacological interventions, proxies indicated a preference for pharmacological treatment because of the immediate effect. However, physicians follow treatment guidelines and nurses and proxies rely on the physician's recommendations. We suggest physicians should be sensitive to these differences.

Background: We recently showed that electroencephalography (EEG) patterns within the first 24 hours robustly contribute to multimodal prediction of poor or good neurological outcome of comatose patients after cardiac arrest. Here, we confirm these results and present a cost-minimization analysis. Early prognosis contributes to communication between doctors and family, and may prevent inappropriate treatment., Methods: A prospective cohort study including 430 subsequent comatose patients after cardiac arrest was conducted at intensive care units of two teaching hospitals. Continuous EEG was started within 12 hours after cardiac arrest and continued up to 3 days. EEG patterns were visually classified as unfavorable (isoelectric, low-voltage, or burst suppression with identical bursts) or favorable (continuous patterns) at 12 and 24 hours after cardiac arrest. Outcome at 6 months was classified as good (cerebral performance category (CPC) 1 or 2) or poor (CPC 3, 4, or 5). Predictive values of EEG measures and cost-consequences from a hospital perspective were investigated, assuming EEG-based decision- making about withdrawal of life-sustaining treatment in the case of a poor predicted outcome., Results: Poor outcome occurred in 197 patients (51% of those included in the analyses). Unfavorable EEG patterns at 24 hours predicted a poor outcome with specificity of 100% (95% CI 98-100%) and sensitivity of 29% (95% CI 22-36%). Favorable patterns at 12 hours predicted good outcome with specificity of 88% (95% CI 81-93%) and sensitivity of 51% (95% CI 42-60%). Treatment withdrawal based on an unfavorable EEG pattern at 24 hours resulted in a reduced mean ICU length of stay without increased mortality in the long term. This gave small cost reductions, depending on the timing of withdrawal., Conclusions: Early EEG contributes to reliable prediction of good or poor outcome of postanoxic coma and may lead to reduced length of ICU stay. In turn, this may bring small cost reductions.

Introduction: Little is known about how patients weigh benefits and harms of available treatments for Parkinson's Disease (oral medication, deep brain stimulation, infusion therapy). In this study we have (1) elicited patient preferences for benefits, side effects and process characteristics of treatments and (2) measured patients' preferred and perceived involvement in decision-making about treatment., Methods: Preferences were elicited using a best-worst scaling case 2 experiment. Attributes were selected based on 18 patient-interviews: treatment modality, tremor, slowness of movement, posture and balance problems, drowsiness, dizziness, and dyskinesia. Subsequently, a questionnaire was distributed in which patients were asked to indicate the most and least desirable attribute in nine possible treatment scenarios. Conditional logistic analysis and latent class analysis were used to estimate preference weights and identify subgroups. Patients also indicated their preferred and perceived degree of involvement in treatment decision-making (ranging from active to collaborative to passive)., Results: Two preference patterns were found in the patient sample (N = 192). One class of patients focused largely on optimising the process of care, while the other class focused more on controlling motor-symptoms. Patients who had experienced advanced treatments, had a shorter disease duration, or were still employed were more likely to belong to the latter class. For both classes, the benefits of treatment were more influential than the described side effects. Furthermore, many patients (45%) preferred to take the lead in treatment decisions, however 10.8% perceived a more passive or collaborative role instead., Discussion: Patients weighted the benefits and side effects of treatment differently, indicating there is no "one-size-fits-all" approach to choosing treatments. Moreover, many patients preferred an active role in decision-making about treatment. Both results stress the need for physicians to know what is important to patients and to share treatment decisions to ensure that patients receive the treatment that aligns with their preferences., Competing Interests: The authors have declared that no competing interests exist.

Background: To be able to make valid inferences on stated preference data from a Discrete Choice Experiment (DCE) it is essential that researchers know if participants were actively involved, understood and interpreted the provided information correctly and whether they used complex decision strategies to make their choices and thereby acted in accordance with the continuity axiom., Methods: During structured interviews, we explored how 70 participants evaluated and completed four discrete choice tasks aloud. Hereafter, additional questions were asked to further explore if participants understood the information that was provided to them and whether they used complex decision strategies (continuity axiom) when making their choices. Two existing DCE questionnaires on rotavirus vaccination and prostate cancer-screening served as case studies., Results: A large proportion of the participants was not able to repeat the exact definition of the risk attributes as explained to them in the introduction of the questionnaire. The majority of the participants preferred more optimal over less optimal risk attribute levels. Most participants (66%) mentioned three or more attributes when motivating their decisions, thereby acting in accordance with the continuity axiom. However, 16 out of 70 participants continuously mentioned less than three attributes when motivating their decision. Lower educated and less literate participants tended to mention less than three attributes when motivating their decision and used trading off between attributes less often as a decision-making strategy., Conclusion: The majority of the participants seemed to have understood the provided information about the choice tasks, the attributes, and the levels. They used complex decision strategies (continuity axiom) and are therefore capable to adequately complete a DCE. However, based on the participants' age, educational level and health literacy additional, actions should be undertaken to ensure that participants understand the choice tasks and complete the DCE as presumed.

Aims: To keep patients in long-term clinical follow-up programmes after percutaneous coronary intervention (PCI), knowledge of the patient-preferred mode for follow-up assessment is crucial. We systematically assessed patient preference, and explored potential relationships with age and gender., Methods and Results: In the prospective, observational PAPAYA study (ClinicalTrials.gov: NCT02189070), 2,566 patients, treated by PCI between June 2008 and May 2012, were invited to participate in a postal survey on the patient-preferred mode (postal questionnaire, telephone or e-mail consultation) and frequency of follow-up assessment. A total of 1,797 (70.0%) patients responded. The vast majority preferred completing postal questionnaires (1,248 [69.9%]) as compared to telephone (240 [13.4%]) or e-mail-based approaches (227 [12.7%]) (p<0.001). With increasing age, there was a gradual decline in preference for e-mail (p<0.001); the youngest patients (≤60 years) preferred e-mail-based follow-up more often than the oldest (21.1% vs. 3.1%). Nevertheless, 79.9% of the youngest preferred to be approached in ways other than by e-mail. Women more often preferred approaches other than e-mail (94.1% vs. 87.3%, p<0.001)., Conclusions: Patients showed a distinct preference for completing postal questionnaires rather than being approached by telephone or e-mail. Younger patients accepted e-mail-based follow-up more often, but the majority of the youngest patients still preferred approaches other than by e-mail.

Objective: The objective of this study was to compare treatment profiles including both health outcomes and process characteristics in Parkinson disease using best-worst scaling (BWS), time trade-off (TTO), and visual analogue scales (VAS)., Methods: From the model comprising of seven attributes with three levels, six unique profiles were selected representing process-related factors and health outcomes in Parkinson disease. A Web-based survey (N = 613) was conducted in a general population to estimate process-related utilities using profile-based BWS (case 2), multiprofile-based BWS (case 3), TTO, and VAS. The rank order of the six profiles was compared, convergent validity among methods was assessed, and individual analysis focused on the differentiation between pairs of profiles with methods used., Results: The aggregated health-state utilities for the six treatment profiles were highly comparable for all methods and no rank reversals were identified. On the individual level, the convergent validity between all methods was strong; however, respondents differentiated less in the utility of closely related treatment profiles with a VAS or TTO than with BWS. For TTO and VAS, this resulted in nonsignificant differences in mean utilities for closely related treatment profiles., Conclusions: This study suggests that all methods are equally able to measure process-related utility when the aim is to estimate the overall value of treatments. On an individual level, such as in shared decision making, BWS allows for better prioritization of treatment alternatives, especially if they are closely related. The decision-making problem and the need for explicit trade-off between attributes should determine the choice for a method., (Copyright © 2016. Published by Elsevier Inc.)

Objective: To test whether presenting attribute levels in words or graphics generates different results with respect to attribute level interpretation, relative importance and participation probabilities., Methods: Parents of 959 newborns completed a DCE questionnaire that contained two versions of the same nine choice tasks in which the attribute levels were presented in words or graphics. Five attributes related to the decision of parents to vaccinate their newborn against rotavirus were included. Mixed-logit models were conducted to estimate the relative importance of the attribute levels., Results: Respondents who started with the choice tasks in words produced the most consistent answer patterns. All respondents significantly preferred words to graphics. Part-worth utilities and the relative importance of the attribute levels differed based on the words and graphics data, resulting in different probabilities to participate in vaccination., Conclusions: Words were preferred over graphics, resulted in higher choice consistency, and showed more valid attribute level estimates. Graphics did not improve respondents' understanding of the attribute levels., Practice Implications: Future research on the use of either words or graphics is recommended in order to establish guidelines on how to develop a valid presentation method for attribute levels in the choice tasks of a DCE., (Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.)

Multi-criteria decision analysis (MCDA) is increasingly used to support decisions in healthcare involving multiple and conflicting criteria. Although uncertainty is usually carefully addressed in health economic evaluations, whether and how the different sources of uncertainty are dealt with and with what methods in MCDA is less known. The objective of this study is to review how uncertainty can be explicitly taken into account in MCDA and to discuss which approach may be appropriate for healthcare decision makers. A literature review was conducted in the Scopus and PubMed databases. Two reviewers independently categorized studies according to research areas, the type of MCDA used, and the approach used to quantify uncertainty. Selected full text articles were read for methodological details. The search strategy identified 569 studies. The five approaches most identified were fuzzy set theory (45% of studies), probabilistic sensitivity analysis (15%), deterministic sensitivity analysis (31%), Bayesian framework (6%), and grey theory (3%). A large number of papers considered the analytic hierarchy process in combination with fuzzy set theory (31%). Only 3% of studies were published in healthcare-related journals. In conclusion, our review identified five different approaches to take uncertainty into account in MCDA. The deterministic approach is most likely sufficient for most healthcare policy decisions because of its low complexity and straightforward implementation. However, more complex approaches may be needed when multiple sources of uncertainty must be considered simultaneously.

Purpose: Helmet therapy is regularly prescribed in infants with positional skull deformation. Evidence on the effectiveness is lacking, which complicates decision making. This study aims to assess the relation between parents' decision for treatment of skull deformation in their infant and their level of anxiety, decisional conflict, expectations of treatment effect, perceived severity of deformation and perceived side effects., Methods: Parents of 5-month-old infants with skull deformation were invited to participate in a survey. Data collection included background characteristics, anthropometric assessment, parent-reported outcomes, decision for treatment (helmet therapy or awaiting natural course), decisional conflict scale and questions about perceived (side) effects of helmet therapy. Factors significantly correlated with treatment decision (p < 0.1) were tested in a multiple logistic regression analysis., Results: The results of 186 respondents were included in the analysis. Parental satisfaction with their infant's head shape (adjusted odds ratio (aOR) 0.2; 95 % confidence interval (CI) 0.1 to 0.4), expected effect of helmet therapy compared to natural course (aOR 13.4; 95 % CI 5.0 to 36.1) and decision uncertainty (aOR 1.0; 95 % CI 0.9 to 1.0; p = .03) were related to the decision for helmet therapy in infants with skull deformation., Conclusion: With the outcomes of this study, we can better understand parental decision-making for elective 'normalizing' treatments in children, such as helmet therapy in infants with skull deformation. Health care professionals should address the parents' perception of the severity of skull deformation and their expectations of helmet therapy. Furthermore, they can support parents in decision-making by balancing medical information with parents' expectations, values and beliefs.

Objectives: The aim of this study was to get an overview of current theory and practice in early assessments of medical devices, and to identify aims and uses of early assessment methods used in practice., Methods: A systematic literature review was conducted in September 2013, using computerized databases (PubMed, Science Direct, and Scopus), and references list search. Selected articles were categorized based on their type, objective, and main target audience. The methods used in the application studies were extracted and mapped throughout the early stages of development and for their particular aims., Results: Of 1,961 articles identified, eighty-three studies passed the inclusion criteria, and thirty were included by searching reference lists. There were thirty-one theoretical papers, and eighty-two application papers included. Most studies investigated potential applications/possible improvement of medical devices, developed early assessment framework or included stakeholder perspective in early development stages. Among multiple qualitative and quantitative methods identified, only few were used more than once. The methods aim to inform strategic considerations (e.g., literature review), economic evaluation (e.g., cost-effectiveness analysis), and clinical effectiveness (e.g., clinical trials). Medical devices were often in the prototype product development stage, and the results were usually aimed at informing manufacturers., Conclusions: This study showed converging aims yet widely diverging methods for early assessment during medical device development. For early assessment to become an integral part of activities in the development of medical devices, methods need to be clarified and standardized, and the aims and value of assessment itself must be demonstrated to the main stakeholders for assuring effective and efficient medical device development.

Background: Emerging developments in nanomedicine allow the development of genome-based technologies for non-invasive and individualised screening for diseases such as colorectal cancer. The main objective of this study was to measure user preferences for colorectal cancer screening using a nanopill., Methods: A discrete choice experiment was used to estimate the preferences for five competing diagnostic techniques including the nanopill and iFOBT. Alternative screening scenarios were described using five attributes namely: preparation involved, sensitivity, specificity, complication rate and testing frequency. Fourteen random and two fixed choice tasks, each consisting of three alternatives, were offered to 2225 individuals. Data were analysed using the McFadden conditional logit model., Results: Thirteen hundred and fifty-six respondents completed the questionnaire. The most important attributes (and preferred levels) were the screening technique (nanopill), sensitivity (100%) and preparation (no preparation). Stated screening uptake for the nanopill was 79%, compared to 76% for iFOBT. In the case of screening with the nanopill, the percentage of people preferring not to be screened would be reduced from 19.2% (iFOBT) to 16.7%., Conclusions: Although the expected benefits of nanotechnology based colorectal cancer screening are improved screening uptake, assuming more accurate test results and less preparation involved, the relative preference of the nanopill is only slightly higher than the iFOBT. Estimating user preferences during the development of diagnostic technologies could be used to identify relative performance, including perceived benefits and harms compared to competitors allowing for significant changes to be made throughout the process of development.

Background: With growing emphasis on patient involvement in health technology assessment, there is a need for scientific methods that formally elicit patient preferences. Analytic hierarchy process (AHP) and conjoint analysis (CA) are two established scientific methods - albeit with very different objectives., Objective: The objective of this study was to compare the performance of AHP and CA in eliciting patient preferences for treatment alternatives for stroke rehabilitation., Methods: Five competing treatments for drop-foot impairment in stroke were identified. One survey, including the AHP and CA questions, was sent to 142 patients, resulting in 89 patients for final analysis (response rate 63%). Standard software was used to calculate attribute weights from both AHP and CA. Performance weights for the treatments were obtained from an expert panel using AHP. Subsequently, the mean predicted preference for each of the five treatments was calculated using the AHP and CA weights. Differences were tested using non-parametric tests. Furthermore, all treatments were rank ordered for each individual patient, using the AHP and CA weights., Results: Important attributes in both AHP and CA were the clinical outcome (0.3 in AHP and 0.33 in CA) and risk of complications (about 0.2 in both AHP and CA). Main differences between the methods were found for the attributes 'impact of treatment' (0.06 for AHP and 0.28 for two combined attributes in CA) and 'cosmetics and comfort' (0.28 for two combined attributes in AHP and 0.05 for CA). On a group level, the most preferred treatments were soft tissue surgery (STS) and orthopedic shoes (OS). However, STS was most preferred using AHP weights versus OS using CA weights (p < 0.001). This difference was even more obvious when interpreting the individual treatment ranks. Nearly all patients preferred STS according to the AHP predictions, while >50% of the patients chose OS instead of STS, as most preferred treatment using CA weights., Conclusion: While we found differences between AHP and CA, these differences were most likely caused by the labeling of the attributes and the elicitation of performance judgments. CA scenarios are built using the level descriptions, and hence provide realistic treatment scenarios. In AHP, patients only compared less concrete attributes such as 'impact of treatment.' This led to less realistic choices, and thus overestimation of the preference for the surgical scenarios. Several recommendations are given on how to use AHP and CA in assessing patient preferences.

Decision aids (DAs) may be helpful in improving patients' participation in medical decision-making. We investigated the potential for web-based DAs in a rehabilitation population. Two self-administered DAs focused on the treatment of acquired ankle-foot impairment in stroke and the treatment of arm-hand function in cervical spinal cord injury (SCI). Data collection comprised a telephone interview and a self-reported paper questionnaire. Of the patients who agreed to participate, 39 stroke patients (44%) and 38 patients with SCI (78%) returned a questionnaire. More than 75% of patients expressed a need for more information about the treatment of disease-related impairment. The DAs were highly appreciated by both patient groups. Nearly all patients expressed a positive attitude towards the use of the web-based DAs in general practice. The DAs had a positive effect on the knowledge about the treatment alternatives in the stroke patients (P = 0.001), although not in the patients with SCI. The DAs reduced patients' conflict about treatment (P < 0.05). The effect of the DAs on patients' desired role in decision-making was limited. Web-based aids are feasible in the rehabilitation population with access to a computer and can improve the knowledge gaps in patients.

Objective: To present and compare two multi-criteria decision techniques (analytic hierarchy process [AHP] and conjoint analysis [CA]) for eliciting preferences in patients with cervical spinal cord injury (SCI) who are eligible for surgical augmentation of hand function, either with or without implantation of a neuroprosthesis. The methods were compared in respect to attribute weights, overall preference, and practical experiences., Methods: Two previously designed and administered multi-criteria decision surveys in patients with SCI were compared and further analysed. Attributes and their weights in the AHP experiment were determined by an expert panel, followed by determination of the weights in the patient group. Attributes for the CA were selected and validated using an expert panel, piloted in six patients with SCI and subsequently administered to the same group of patients as participated in the AHP experiment., Results: Both experiments showed the importance of non-outcome-related factors such as inpatient stay and number of surgical procedures. In particular, patients were less concerned with clinical outcomes in actual decision making. Overall preference in both the AHP and CA was in favor of tendon reconstruction (0.6 vs 0.4 for neuroprosthetic implantation). Both methods were easy to apply, but AHP was less easily explained and understood., Conclusions: Both the AHP and CA methods produced similar outcomes, which may have been caused by the obvious preferences of patients. CA may be preferred because of the holistic approach of considering all treatment attributes simultaneously and, hence, its power in simulating real market decisions. On the other hand, the AHP method is preferred as a hands-on, easy-to-implement task with immediate feedback to the respondent. This flexibility allows AHP to be used in shared decision making. However, the way the technique is composed results in many inconsistencies. Patients preferred CA but complained about the number of choice tasks.

Objective: To test the applicability of multi-criteria decision analysis preference elicitation techniques in cognitively impaired individuals., Method: A convenience sample of 16 cognitively impaired subjects and 12 healthy controls was asked to participate in a small pilot study. The subjects determined the relative importance of four decision criteria using five different weight elicitation techniques, namely simple multi-attribute rating technique, simple multi-attribute rating technique using swing weights, Kepner-Tregoe weighting, the analytical hierarchical process, and conjoint analysis., Results: Conjoint analysis was judged to be the easiest method for weight elicitation in the control group (Z = 10.00; p = 0.04), while no significant differences in difficulty rating between methods was found in cognitively impaired subjects. Conjoint analysis elicitates weights and rankings significantly different from other methods. Subjectively, cognitively impaired subjects were positive about the use of the weight elicitation techniques. However, it seems the use of swing weights can result in the employment of shortcut strategies., Conclusion: The results of this pilot study suggest that individuals with mild cognitive impairment are willing and able to use multi-criteria elicitation methods to determine criteria weights in a decision context, although no preference for a method was found. The same methodologic and practical issues can be identified in cognitively impaired individuals as in healthy controls and the choice of method is mostly determined by the decision context.

Objective: To increase the transparency of decision making about treatment in patients with equinovarus deformity poststroke., Design: The analytic hierarchy process (AHP) was used as a structured methodology to study the subjective rationale behind choice of treatment., Setting: An 8-hour meeting at a centrally located rehabilitation center in The Netherlands, during which a patient video was shown to all participants (using a personal computer and a large screen) and the patient details were provided on paper., Participants: A panel of 10 health professionals from different backgrounds., Interventions: Not applicable., Main Outcome Measures: The performance of the applicable treatments on outcome, impact, comfort, cosmetics, daily effort, and risks and side effects of treatment, as well as the relative importance of criteria in the choice of treatment., Results: According to the model, soft-tissue surgery (.413) ranked first as the preferred treatment, followed by orthopedic footwear (.181), ankle-foot orthosis (.147), surface electrostimulation (.137), and finally implanted electrostimulation (.123). Outcome was the most influential consideration affecting treatment choice (.509), followed by risk and side effects (.194), comfort (.104), daily effort (.098), cosmetics (.065), and impact of treatment (.030)., Conclusions: Soft-tissue surgery was judged best on outcome, daily effort, comfortable shoe wear, and cosmetically acceptable result and was thereby preferred as a treatment alternative by the panel in this study. In contrast, orthosis and orthopedic footwear are usually preferred in daily practice. The AHP method was found to be suitable methodology for eliciting subjective opinions and quantitatively comparing treatments in the absence of scientific evidence.

Study Design: Survey., Objective: To determine the effect of treatment characteristics on the decision for reconstructive interventions for the upper extremities (UE) in subjects with tetraplegia., Setting: Seven specialized spinal cord injury centres in the Netherlands., Method: Treatment characteristics for UE reconstructive interventions were determined. Conjoint analysis (CA) was used to determine the contribution and the relative importance of the treatment characteristics on the decision for therapy. Therefore, a number of different treatment scenarios using these characteristics were established. Different pairs of scenarios were presented to subjects who were asked to choose the preferred scenario of each set., Results: Forty-nine subjects with tetraplegia with a stable C5, C6 or C7 lesion were selected. All treatment characteristics significantly influenced the choice for treatment. Relative importance of treatment characteristics were intervention type (surgery or surgery with functional electrical stimulation implant) 13%, number of operations 15%, in-patient rehabilitation period 22%, ambulant rehabilitation period 9%, complication rate 15%, improvement of elbow function 10%, improvement of hand function 15%. In deciding for therapy, 40% of the subjects focused on one characteristic., Conclusion: CA is applicable in Spinal Cord Injury medicine to study the effect of health outcomes and non-health outcomes on the decision for treatment. Non-health outcomes, which relate to the intensity of treatment, are equally important or even more important than functional outcome in the decision for reconstructive UE surgery in subjects with tetraplegia.

An application was developed to optimize information exchange in acute stroke care, with which general practitioners (GPs) could consult hospital emergency units. However, it was difficult to obtain clear preferences from GPs regarding the functional requirements of the information to be transferred or the architecture of the application. Thirteen GPs volunteered to take part in the study. The GPs used a personal digital assistant in their daily work for a period of six weeks when visiting stroke patients during their evening, night and weekend shifts. A conjoint analysis was conducted to obtain the least and most preferred characteristics of the application, to facilitate implementation on a larger scale. The main outcome was that GPs preferred the decision-support facilities and the presence of information about the patient's medical history.