A discrete choice experiment evaluation of patients' preferences for different risk, benefit, and delivery attributes of insulin therapy for diabetes management

Nurses' job preferences on the internet plus nursing service program: a discrete choice experiment

BACKGROUND

The Internet Plus Nursing Service (IPNS) is being instigated in all provincial-level regions throughout China, in which registered nurses (with more than five years of experience from qualified medical institutions) will provide services to those in their communities or homes after receiving online applications. The growing shortage of human resources in nursing is a critical issue for this project, so effective policies for recruiting and retaining nurses are critical.

OBJECTIVE

This study aims to pinpoint the significant job characteristics that play a crucial role in shaping the job decisions of sharing nurses in the IPNS program, and to estimate the strength of job attributes.

METHODS

A discrete choice experiment (DCE) was used to assess job attributes influencing sharing nurses' preferences. A qualitative design, including in-depth interview and focus interview methods, was conducted to determine the inclusion of attributes. The final included six attributes were: work modes, duration per visit, income per visit, personal safety, medical risk prevention, and refresher training. This study was conducted at 13 hospitals in Guangdong Province, China, from April to June 2022, and a total of 220 registered sharing nurses participated in the survey. The multinomial logit model explored attributes and relative valued utility. Preference heterogeneity is explored via latent class analysis (LCA) models.

RESULTS

A total of 220 participants answered the questionnaire. Income was the most influential characteristic of a sharing nursing position, followed by personal safety management, duration per visit, medical risk prevention, and refresher training, and nurses' preferences differed among different types of classes.

CONCLUSIONS

Sharing nurses place most value on income and personal safety with career-related decisions, which indicates an urgent need to develop complete security for personal safety. This study can be helpful to decision-makers in the Chinese government.

Women's preferences for less active ectopic pregnancy treatment: A discrete choice experiment

RESEARCH QUESTION

Shared decision-making has become a hallmark of quality care and is increasingly spotlighted in practice guidelines. Little is known about women's views for treatment of less active ectopic pregnancy. What are the preferences of women for less active ectopic pregnancy treatment-related attributes?

DESIGN

A discrete choice model with 8 attributes depicting ectopic pregnancy treatment including varying levels of first-line treatment effectiveness, length of hospitalization, cost, length of sick leave, of convalescence, need for surgical management, for emergency care during convalescence and for tube removal was used. Childbearing aged women, i.e. those who might experience an ectopic pregnancy in the future, were recruited. They were asked to choose between hypothetical treatments in 18 choice tasks with different levels of all treatment attributes. A conditional logit McFadden's choice model was performed. The main outcome measure was preference weights for less active ectopic pregnancy treatment-related attributes.

RESULTS

A total of 5770 observations from 178 women were analysed. The attributes displaying the highest marginal impacts on women's decisions included: higher rate of first-line treatment effectiveness, lower rate of tube removal, lower rate of surgical management, shorter length of hospitalization and, to a lesser extent, but still significant, shorter length of convalescence, absence of risk of emergency care during convalescence and lower cost.

CONCLUSIONS

Trade-offs made by women between the attributes of less active ectopic pregnancy treatment suggest that no treatment option, either medical or surgical, is an obvious preferred option. These results encourage the promotion of shared decision-making.

Identifying patient preferences for diabetes care: A protocol for implementing a discrete choice experiment in Samoa

In Samoa, adult Type 2 diabetes prevalence has increased within the past 30 years. Patient preferences for care are factors known to influence treatment adherence and are associated with reduced disease progression and severity. However, patient preferences for diabetes care, generally, are understudied, and other patient-centered factors such as willingness-to-pay (WTP) for diabetes treatment have never been explored in this setting. Discrete Choice Experiments (DCE) are useful tools to elicit preferences and WTP for healthcare. DCEs present patients with hypothetical scenarios composed of a series of multi-alternative choice profiles made up of attributes and levels. Patients choose a profile based on which attributes and levels may be preferable for them, thereby quantifying and identifying locally relevant patient-centered preferences. This paper presents the protocol for the design, piloting, and implementation of a DCE identifying patient preferences for diabetes care, in Samoa. Using an exploratory sequential mixed methods design, formative data from a literature review and semi-structured interviews with n = 20 Samoan adults living with Type 2 diabetes was used to design a Best-Best DCE instrument. Experimental design procedures were used to reduce the number of choice-sets and balance the instrument. Following pilot testing, the DCE is being administered to n = 450 Samoan adults living with diabetes, along with associated questionnaires, and anthropometrics. Subsequently, we will also be assessing longitudinally how preferences for care change over time. Data will be analyzed using progressive mixed Rank Order Logit models. The results will identify which diabetes care attributes are important to patients (p < 0.05), examine associations between participant characteristics and preference, illuminate the trade-offs participants are willing to make, and the probability of uptake, and WTP for specific attributes and levels. The results from this study will provide integral data useful for designing and adapting efficacious diabetes intervention and treatment approaches in this setting.

Understanding patient cost-sharing thresholds for diabetes treatment attributes via a discrete choice experiment

BACKGROUND: The process used to prefer certain products across drug classes for diabetes is generally focused on comparative effectiveness and cost. However, payers rarely tie patient preference for treatment attributes to formulary management resulting in a misalignment of value defined by providers, payers, and patients. OBJECTIVES: To explore patients' willingness to pay (WTP) for the predetermined high-value and low-value type 2 diabetes mellitus (T2DM) treatments within a health plan. METHODS: A cross-sectional discrete choice experiment (DCE) survey was used to determine patient preference for the benefit, risk, and cost attributes of T2DM treatments. A comprehensive literature review of patient preference studies in diabetes and a review of guidelines and medical literature identified study attributes. Patients and diabetes experts were interviewed and instructed to identify, prioritize, and comment on which attributes of diabetes treatments were most important to T2DM patients. The patients enrolled in a health plan were asked to respond to the survey. A multinomial logit model was developed to determine the relative importance and the patient's WTP of each attribute. The patients' relative values based on WTPs for T2DM treatments were calculated and compared with the treatments by a health plan. RESULTS: A total of 7 attributes were selected to develop a web-based DCE questionnaire survey. The responses from a total of 58 patients were analyzed. Almost half (48.3%) of the respondents took oral medications and injections for T2DM. The most prevalent side effects due to diabetes medications were gastrointestinal (43.1%), followed by weight gain (39.7%) and nausea (32.8%). Patients were willing to pay more for treatments with proven cardiovascular benefit and for the risk reduction of hospitalization from heart failure. On the other hand, they would pay less for treatments with higher gastrointestinal side effects. Patients were willing to pay the most for sodium-glucose cotransporter 2 inhibitor and glucagon-like peptide 1 receptor agonist agents and the least for dipeptidyl peptidase-4 inhibitors and thiazolidinediones. CONCLUSIONS: This study provides information to better align patient, provider, and payer preferences in both benefit design and value-based formulary strategy for diabetes treatments. A preferred placement of treatments with cardiovascular benefits and lower adverse gastrointestinal side effects may lead to increased adherence to medications and improved clinical outcomes at a lower overall cost to both patients and their health plan. DISCLOSURES: This study was supported by a grant from the PhRMA Foundation.

Diabetes Patients' Acceptance of Injectable Treatment, a Scientometric Analysis

Diabetes is a condition associated with multiple systemic secondary risk factors, besides pancreatic dysfunctions, affecting the population worldwide and with high costs impacting the healthcare systems. This paper aims to identify the major issues in patients' adherence to injectable diabetes treatment. After the interrogation of the Web of Science database, a scientometric map was generated, from which six directions of approach were identified as essential factors influencing the patient's adherence. These directions yielded clusters of related articles. Glycemic control with the endocrinology metabolic implications, lifestyle adjustments, the healthcare services, medication therapy algorithm, healthcare services digitalization and healthcare policies seem to have a major impact on injectable diabetes therapy and patient adherence. Further research on every one of the six directions is needed to identify the potential of increasing injectable treatment adherence in diabetes patients.

Patient Preferences for Diabetes Treatment Among People With Type 2 Diabetes Mellitus in China: A Discrete Choice Experiment

Introduction

Preferences for diabetes treatment-related attributes may be significant in diabetes management. However, there is a lack of evidence on patient preferences for diabetes in China.

Methods

A large-scale questionnaire survey was conducted in the hospitals of mainland China. Participants' preferences for six attributes were evaluated via a discrete choice experiment (DCE) using the conditional logit model. Patients' willingness to pay (WTP) for each attribute was calculated based on the cost attribute.

Results

The sample consisted of 709 patients (male 51.9%; female 48.1%). The results of the model indicated that patients' preference weight (PW) of days on which the blood glucose level is under control per week was the highest (1.41), and the PW of blood glucose monitoring frequency was the lowest (0.642). Patients were generally willing to pay for improvements in their type 2 diabetes mellitus (T2DM) treatment, and they had relatively higher WTP to avoid the blood glucose level within a normal value of 1 day/week (¥176.01) and also to avoid the frequency of hypoglycemic events within the range of 1–2/month (¥144.53).

Conclusion

The number of days on which the blood glucose level is under control per week is the most important attribute in the treatment choice for patients with T2DM in China, followed by the frequency of hypoglycemic events, medication regimen, weight change, and blood glucose monitoring.

Preferences for Patients with Type 2 Diabetes Mellitus for Medications in Shandong Province, China: A Discrete Choice Experiment

PURPOSE

To evaluate preferences for medications among patients with type 2 diabetes mellitus (T2DM) from urban community health stations or rural village clinics in Shandong province, China.

METHODS

We use a discrete choice experiment (DCE) to measure the medication preferences. Each patient completed six DCE choice sets. The attributes for the DCE questionnaire include mode of administration, out-of-pocket medication cost per month, fasting blood glucose control effect and frequency of hypoglycemia events. The conditional logit model (Clogit) and mixed logit model (MXL) were used to evaluate choice data.

RESULTS

A total of 887 patients with T2DM completed the survey. The mean age of participants was 64 years, 36.42% experienced complications, and the mean duration of diabetes was about 8 years. Overall, patients' ideal medication would not have hypoglycemia events, provide normal fasting glucose levels, have oral medication three times a day and lower monthly medication cost. Patients prioritized the frequency of hypoglycemia events (β=15.055, P < 0.01) and were willing to spend CNY 393.10 per month to avoid hypoglycemia events. For patients with higher educational levels and with longer diagnosis time, the effect of fasting blood glucose was more relevant than all other outcomes.

CONCLUSION

This study provides information on T2DM patients' preference for medications. Our results suggest that clinical doctors should present patients with a variety of pharmaceutical characteristics and include their preference into medication decision, which will improve patient adherence and health outcomes.

Societal preferences for the treatment of impulsive-violent offenders: a discrete choice experiment

OBJECTIVES

The aim of this study is to quantify societal preferences for, and assess trade-offs between characteristics of treatment programmes for impulsive-violent offenders.

SETTING

The study was conducted in New South Wales, Australia's largest state.

PARTICIPANTS

The study participants were income tax payers, aged over 18 and who were able to provide informed consent.

METHODS

A discrete choice experiment was used to assess the preferences for treatment programmes for impulsive violent offenders. The survey presented participants with six choice sets in which they chose between two unlabelled treatment scenarios and a 'no treatment' choice. A random parameters logistic (RPL) model and a latent class (LC) model were used to analyse the societal preferences for treatment and estimate willingness to pay values based on marginal rates of substitution. Respondents were asked to self-identify if they ever had experiences with violence and subgroup analysis was done.

RESULTS

The survey was completed by 1021 highly engaged participants. The RPL model showed that society had a preference for more effective programmes, programmes that provided full as opposed to partial treatment of all co-occurring health conditions, compulsory over voluntary programmes, those with flexibility in appointments and programmes that are provided with continuity of care postprison. Respondents were willing to pay an additional annual tax contribution for all significant attributes, particularly compulsory programmes, continuity of treatment and effectiveness.The LC model identified two classes of respondents with some differences in preferences which could be largely identified by whether they had experiences with violence or not.

CONCLUSION

The results are important for future programme design and implementation. Programmes for impulsive violent offenders that are designed to encompass societal preferences are likely to be supported by public and tax payers.

Personalized diabetes management: what do patients with diabetes mellitus prefer? A discrete choice experiment

BACKGROUND

There are unresolved procedural and medical problems in the care of diabetes, which cause high costs for health systems. These include the inadequate glycemic adjustment, care gaps, therapeutic inertia, and a lack of motivation. Personalized diabetes management can be seen as a kind of "standard process" that provides both physicians and patients with a framework. The aim of this empirical survey is the evaluation of patient preferences regarding personalized diabetes management. The purpose of this experiment is to demonstrate the properties of the programs that are relevant for the choice of insulin-based therapy regimens for patients with type II diabetes mellitus.

METHODS

A discrete choice experiment (DCE) was applied to identify preferences for a personalized diabetes management in patients with type II diabetes mellitus. Six attributes were included. The DCE was conducted in June 2017 using a fractional factorial design, and the statistical data analysis used random effect logit models.

RESULTS

N = 227 patients (66.1% male) were included. The preference analysis showed dominance for the attribute "occurrence of severe hypoglycemias per year" [level difference (LD) 2765]. Preference analysis also showed that participants weight the "risk of myocardial infarction (over 10 years)" (LD 1.854) highest among the side effects. Within the effectiveness criterion of "change in the long-term blood glucose level (HbA1c)" a change at an initial value of 9.5% (LD 1.146) is weighted slightly higher than changes at 7.5% (LD 1.141). Within the random parameter logit estimation, all coefficients proved to be significantly different from zero at the level p ≤ 0.01. The latent class analysis shows three heterogeneous classes, each showing clearly different weights of the therapeutic properties. This results in a clear three-folding: for 1/3 of the respondents the change of the long-term blood sugar (HbA1c value) is the top objective. Another third is solely interested in the short-term effectiveness of the therapy in the sense of the occurrence of severe hypoglycemias per year. The last third of the interviewees finally focuses on the follow-up regarding cardiovascular events. Overall, there were five structural and personality traits which have an influence on the respective probability of the class membership.

DISCUSSION/CONCLUSION

This study identifies and weights the key decision-making criteria for optimal management of diabetes from the perspective of patients. It was shown that the effectiveness of a care program is the most important from the perspective of the patient and avoiding severe a hypoglycemia has the greatest influence on the choice. The risk of myocardial infarction as a follow-up disease and the long-term adjustment of the blood glucose follow the importance. In the analysis of possible subgroup differences by means of latent class analysis, it was found that three preference patterns exist within the sample. The generated preference data can be used for the design of personalized management approaches. It remains open to the extent to which expert opinions and patient preferences diverge.

Eliciting women's preference for prenatal testing in China: a discrete choice experiment

Background

Pregnancy tests can be used for the early diagnosis of fetal problems and can prevent abnormal birth in pregnancies. Yet, testing preferences among Chinese women are poorly investigated.

Methods

We developed a Discrete Choice Experiment with 5 attributes: test procedure, detection rate, miscarriage rate, time to wait for result, and test cost. By studying the choices that the women make in the hypothetical scenarios and comparing the attributes and levels, we can analyze the women’s preference of prenatal testing in China.

Results

Ninety-two women completed the study. Respondents considered the test procedure as the most important attribute, followed by detection rate, miscarriage rate, wait time for result, and test cost, respectively. The estimated preference weight for the non-invasive procedure was 0.928 (P < 0.0001). All other attributes being equal, the odds of choosing a non-invasive testing procedure over an invasive one was 2.53 (95% confidence interval, 2.42–2.64; P < 0.001). Participants were willing to pay up to RMB$28,810 (approximately US$4610) for a non-invasive test, RMB$6061(US$970) to reduce the miscarriage rate by 1% and up to RMB$3356 (US$537) to increase the detection rate by 1%. Compared to other DCE (Discrete Choice Experiment) studies regarding Down’s syndrome screening, women in our study place relatively less emphasis on test safety.

Conclusions

The present study has shown that Chinese women place more emphasis on detection rate than test safety. Chinese women place great preference on noninvasive prenatal testing, which indicate a popular need of incorporating noninvasive prenatal testing into the health insurance coverage in China. This study provided valuable evidence for the decision makers in the Chinese government.

Beyond cost-effectiveness: A five-step framework for appraising the value of health technologies in Asia-Pacific

Given resource constraints and the potential for increasingly high-cost, cost-effective medicines to become available, policymakers require strategies that go beyond cost-effectiveness when making resource allocation decisions. This manuscript presents a five-step framework that complements traditional health technology assessment (HTA) guidance documents that policymakers in Asia-Pacific and elsewhere may consider when setting up HTA guidelines and/or evaluating whether or not to subsidize a medicine or other health innovations. The framework recommends that subsidy decisions be based on five criteria: the relative burden of the condition as compared with other conditions (step 1), comparative and cost-effectiveness of the medicine (steps 2 and 3), the short-term impact on the budget (step 4), and other considerations including patient and societal preferences (step 5). Our approach, which is a complement to traditional HTA guidance documents, is not prescriptive but provides an evidence-based framework that HTA agencies in Asia-Pacific can follow as they aim to deliver value-based medicines to their constituents.

Validation of a novel diabetic retinopathy utility index using discrete choice experiments

BACKGROUND/AIMS

To validate a preference-based Diabetic Retinopathy Utility Index (DRU-I) using discrete choice experiment (DCE) methods and assess disutilities associated with vision-threatening DR (VTDR: severe non-proliferative DR, proliferative DR and clinically significant macular oedema) and associated vision impairment.

METHODS

The DRU-I comprises five quality-of-life dimensions, including Visual symptoms, Activity limitation/mobility, Lighting and glare, Socio-emotional well-being and Inconvenience, each rated as no, some, or a lot of difficulty. The DRU-I was developed using a DCE comprising six blocks of nine choice sets which, alongside the EuroQoL-5D (EQ-5D-3L) and Vision and Quality of Life (VisQoL) utility instruments, were interviewer-administered to participants. To ensure the DRU-I was sensitive to severe disease, we oversampled patients with VTDR. Data were analysed using conditional logit regression.

RESULTS

Of the 220 participants (mean±SD age 60.1±11.3 years; 70.9% men), 57 (29.1%) and 139 (70.9%) had non-VTDR and VTDR, respectively, while 157 (71.4%), 20 (9.4%) and 37 (17.3%) had no, mild or moderate/severe vision impairment, respectively. Regression coefficients for all dimensions were ordered as expected, with worsening levels in each dimension being less preferred (theoretical validity). DRU-I utilities decreased as DR severity (non-VTDR=0.87; VTDR=0.80; p=0.021) and better eye vision impairment (none=0.84; mild=0.78; moderate/severe=0.72; p=0.012) increased. DRU-I utilities had low (r=0.39) and moderate (r=0.58) correlation with EQ-5D and VisQoL utilities, respectively (convergent validity).

DISCUSSION

The DRU-I can estimate utilities associated with vision-threatening DR and associated vision impairment. It has the potential to assess the cost-effectiveness of DR interventions from a patient perspective and inform policies on resource allocation relating to DR.

Conducting a Discrete-Choice Experiment Study Following Recommendations for Good Research Practices: An Application for Eliciting Patient Preferences for Diabetes Treatments

OBJECTIVES

To consolidate and illustrate good research practices in health care to the application and reporting of a study measuring patient preferences for type 2 diabetes mellitus medications, given recent methodological advances in stated-preference methods.

METHODS

The International Society for Pharmacoeconomics and Outcomes Research good research practices and other recommendations were used to conduct a discrete-choice experiment. Members of a US online panel with type 2 diabetes mellitus completed a Web-enabled, self-administered survey that elicited choices between treatment pairs with six attributes at three possible levels each. A D-efficient experimental design blocked 48 choice tasks into three 16-task surveys. Preference estimates were obtained using mixed logit estimation and were used to calculate choice probabilities.

RESULTS

A total of 552 participants (51% males) completed the survey. Avoiding 90 minutes of nausea was valued the highest (mean -10.00; 95% confidence interval [CI] -10.53 to -9.47). Participants wanted to avoid low blood glucose during the day and/or night (mean -3.87; 95% CI -4.32 to -3.42) or one pill and one injection per day (mean -7.04; 95% CI -7.63 to -6.45). Participants preferred stable blood glucose 6 d/wk (mean 4.63; 95% CI 4.15 to 5.12) and a 1% decrease in glycated hemoglobin (mean 5.74; 95% CI 5.22 to 6.25). If cost increased by $1, the probability that a treatment profile would be chosen decreased by 1%.

CONCLUSIONS

These results are consistent with the idea that people have strong preferences for immediate consequences of medication. Despite efforts to produce recommendations, ambiguity surrounding good practices remains and various judgments need to be made when conducting stated-preference studies. To ensure transparency, these judgments should be described and justified.

Patients' and professionals' preferences in terms of the attributes of home enteral nutrition products in Spain. A discrete choice experiment

BACKGROUND/OBJECTIVES

To elicit and compare preferences in terms of the attributes of home enteral nutrition (HEN) among patients and physicians, using a discrete choice experiment (DCE).

SUBJECTS/METHODS

A DCE comprising eight choice scenarios, with six HEN attributes (tolerability, adaptation to comorbidities, nutrition and calories, handling, connections and information; two levels each) was designed. The Relative Importance (RI) for patients and physicians of each attribute was estimated. Sociodemographic and clinical variables, as well as additional questions (n = 8) were compiled to analyze possible explanatory variables and other preferences.

RESULTS

A total of 148 HEN patients (71 needing caregivers to answer on their behalf) and 114 physicians completed the DCE. The most important attributes for patients were adaptation to comorbidities (33% RI), tolerability (33% RI), and nutrition and calories (26% RI). Significantly, younger patients had stronger preferences for tolerability whereas elderly ones (≥75 years) were more concerned about handling. In comparison, physicians gave a higher RI to tolerability, and nutrition and calories compared to patients (p = 0.002). Overall, a higher percentage of physicians answered that HEN characteristics such as easy-handling bags (85.1 vs. 64.9%; p = 0.001), container material (69.3 vs. 57.1%; p = 0.003) or reusable containers (79.8 vs. 70.3%; p = 0.01) were "important" or "very important" compared to patients.

CONCLUSIONS

Our findings showed that although patients and physicians have a similar perception about the relevance of different HEN attributes, the relative weight given to each one varies between them. Therefore, both points of view should be considered when choosing a HEN product in order to improve patients' satisfaction and clinical outcomes.

Developing a questionnaire to determine the impact of self-management in diabetes: giving people with diabetes a voice

BACKGROUND

The prevalence of diabetes mellitus (DM) is increasing dramatically, placing considerable financial burden on the healthcare budget of each country. Patient self-management is crucial for the control of blood glucose, which largely determines the chances of developing diabetes-related complications. Self-management interventions vary widely, and a method is required for assessing the impact of self-management. This paper describes the development of a questionnaire intended for use to measure the impact of self-management in diabetes.

METHODS

An iterative development process was undertaken to identify the attributes of self-management using 5 steps. First, a literature review was undertaken to identify and understand themes relating to self-management of DM to inform a topic guide. Second, the topic guide was further refined following consultation with a Patient and Public Involvement group. Third, the topic guide was used to inform semi-structured interviews with patients with Type 1 DM (T1DM) and Type 2 DM (T2DM) to identify how self-management of DM affects individuals. Fourth, the research team considered potential attributes alongside health attributes from an existing measure (Diabetes Health Profile, DHP) to produce an instrument reflecting both health and self-management outcomes simultaneously. Finally, a draft instrument was tested in a focus group to determine the wording and acceptability.

RESULTS

Semi-structured interviews were carried out with 32 patients with T1DM and T2DM. Eight potential attributes were identified: fear/worry/anxiety, guilt, stress, stigma, hassle, control, freedom, and feeling supported. Four of these self-management attributes were selected with four health attributes (mood, worry about hypos (hypoglycaemic episodes), vitality and social limitations) to produce the Health and Self-Management in Diabetes (HASMIDv1) questionnaire.

CONCLUSIONS

HASMIDv1 is a short questionnaire that contains eight items each with four response levels to measure the impact of self-management in diabetes for both T1DM and T2DM. The measure was developed using a mixed-methods approach that involved semi-structured interviews with people with diabetes. The measure has high face validity. Ongoing research is being undertaken to assess the validity of this questionnaire for measuring the impact of self-management interventions in economic evaluation.

Consumer preferences for food allergen labeling

Background

Food allergen labeling is an important tool to reduce risk of exposure and prevent anaphylaxis for individuals with food allergies. Health Canada released a Canadian food allergen labeling regulation (2008) and subsequent update (2012) suggesting that research is needed to guide further iterations of the regulation to improve food allergen labeling and reduce risk of exposure.

Objective

The primary objective of this study was to examine consumer preferences in food labeling for allergy avoidance and anaphylaxis prevention. A secondary objective was to identify whether different subgroups within the consumer population emerged.

Methods

A discrete choice experiment using a fractional factorial design divided into ten different versions with 18 choice-sets per version was developed to examine consumer preferences for different attributes of food labeling.

Results

Three distinct subgroups of Canadian consumers with different allergen considerations and food allergen labeling needs were identified. Overall, preferences for standardized precautionary and safety symbols at little or no increased cost emerged.

Conclusion

While three distinct groups with different preferences were identified, in general the results revealed that the current Canadian food allergen labeling regulation can be improved by enforcing the use of standardized precautionary and safety symbols and educating the public on the use of these symbols.

Be Careful What You Ask For: Effects of Benefit Descriptions on Diabetes Patients' Benefit-Risk Tradeoff Preferences

BACKGROUND

As more studies report on patient preferences for diabetes treatment, identifying diabetes outcomes other than glycated hemoglobin (HbA_1c) to describe effectiveness is warranted to understand patient-relevant, benefit-risk tradeoffs.

OBJECTIVE

The aim of the study was to evaluate how preferences differ when effectiveness (glycemic control) is presented as long-term sequela (LTS) risk mitigation rather than an asymptomatic technical marker (HbA_1c).

METHODS

People with type 2 diabetes and using insulin (n = 3160) were randomly assigned to four self-administered, discrete-choice experiments that differed by their presentation of effectiveness. Epidemiologic reviews were conducted to ensure a close approximation of LTS risk relative to HbA_1c levels. The relative importance of treatment benefit-risk characteristics and maximum acceptable risk tradeoffs was estimated using an error-component logit model. Log-likelihood ratio tests were used to compare parameter vectors.

RESULTS

In total, 1031 people responded to the survey. Significantly more severe hypoglycemic events were accepted for a health improvement in terms of LTS mitigation versus HbA_1c improvement (0.7 events per year; 95% confidence interval [CI]: 0.4-1.0 vs. 0.2 events per year 95% CI: -0.02 to 0.5) and avoidance of treatment-related heart attack risk (1.4 severe hypoglycemic events per year; 95% CI: 0.8-1.9 vs. 1 event per year; 95% CI: 0.6-1.3). This finding is supported by a log-likelihood test that rejected at the 0.05 level that respondent preference structures are similar across the different experimental arms of the discrete-choice experiment.

CONCLUSION

We found evidence that benefit descriptions influence elicited preferences for the benefit-risk characteristics of injectable diabetes treatment. These findings argue for using carefully defined effectiveness measures to accurately take account of the patient perspective in benefit-risk assessments.

Using discrete choice experiments as a decision aid in total knee arthroplasty: study protocol for a randomised controlled trial

BACKGROUND

Osteoarthritis (OA) is a leading cause of disability in developed nations. Total knee arthroplasty (TKA) is a clinically effective treatment for people with end-stage knee OA, and represents one of the highest volume medical interventions globally. However, up to one in three patients remain dissatisfied following TKA. Research indicates that the strongest predictor of patient dissatisfaction following TKA is unmet expectations. This study will use a discrete choice experiment (DCE) provided to patients to improve knowledge of the expected outcomes of TKA. This increased knowledge is based on actual outcome data and is hypothesised to optimise patient expectations of TKA outcomes, thereby increasing their satisfaction and self-reported health outcomes.

METHODS/DESIGN

One hundred and thirty-two people with end-stage OA on the waiting list for TKA will be recruited and randomly allocated to one of two groups using computer-generated block randomisation. A randomised controlled trial (RCT) adhering to SPIRIT and CONSORT guidelines will evaluate the effect of administering a DCE prior to surgery on patient-reported pain and function and satisfaction following TKA. Patients in the intervention arm will complete a survey containing the DCE, compared to the control group who will complete a modified survey that does not contain the DCE activity. The DCE contains information on actual risks of postoperative complications, as well as health status after TKA. The DCE encourages patients to actively make trade-offs between risks and health outcomes to elicit their preferences. Participants in both groups will be required to complete the survey after consenting to have the procedure, but prior to surgery during their routine preadmission appointment at St. Vincent's Hospital, Melbourne, Australia (SVHM). Patients in both the intervention and control groups will also be required to complete a brief patient expectation survey 1 week prior to scheduled TKA. In addition, orthopaedic surgeons will complete a brief expectations survey for each patient consented for TKA to compare matched surgeon and patient expectations for recovery following TKA. Primary outcomes will be evaluated by a blinded examiner at 12 months post surgery using a validated self-reported pain and physical function scale, and a validated patient satisfaction scale. Secondary outcomes will include a range of validated measures of health and psychological wellbeing. All analyses will be conducted on an intention-to-treat basis using linear regression models.

DISCUSSION

This study is the first of its kind to use a DCE to provide information to patients to optimise their expectations of the outcomes of surgery. Reducing the rate of patient dissatisfaction commonly seen in patients following TKA will help to reduce the burden associated with poor outcomes on the health system.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry ( ACTRN12615001226594p ). Version 1; registered on 9 November 2015.

Sample Size Requirements for Discrete-Choice Experiments in Healthcare: a Practical Guide

Discrete-choice experiments (DCEs) have become a commonly used instrument in health economics and patient-preference analysis, addressing a wide range of policy questions. An important question when setting up a DCE is the size of the sample needed to answer the research question of interest. Although theory exists as to the calculation of sample size requirements for stated choice data, it does not address the issue of minimum sample size requirements in terms of the statistical power of hypothesis tests on the estimated coefficients. The purpose of this paper is threefold: (1) to provide insight into whether and how researchers have dealt with sample size calculations for healthcare-related DCE studies; (2) to introduce and explain the required sample size for parameter estimates in DCEs; and (3) to provide a step-by-step guide for the calculation of the minimum sample size requirements for DCEs in health care.

Alternative approaches for assessing the socioeconomic benefits of medical devices: a systematic review

Many medical devices offer improvements over current care that may be difficult to assess using standard methods of economic benefit measurement such as the quality-adjusted life-year (QALY). The objective of this research was to explore the extent to which these benefits have been measured and valued by alternative approaches, such as willingness-to-pay studies or discrete choice experiments. We undertook a systematic review of the literature from 1996 to 2013 to identify empirical studies on the benefits of medical devices using the alternative methodologies. The search resulted in 2772 hits, of which 2016 were considered not relevant to the study and 76 were duplicates. After further examination, there were 30 relevant empirical studies, of which 18 were willingness-to-pay and 12 discrete choice experiments. This research demonstrates that while it is feasible to measure and value the attributes of devices using alternative approaches to standard quality-of-life measures, the literature is quite limited when compared with that for non-device technologies.

Quantitative analysis of multiple sclerosis patients' preferences for drug treatment: a best-worst scaling study

BACKGROUND

With recent developments in drug therapy for multiple sclerosis (MS), new treatment options have become available presenting patients with complex treatment decisions.

OBJECTIVES

The objective of this study was to elicit patients' preferences for different attributes of MS drug therapy.

METHODS

A representative sample of patients with MS across Canada (n=189) participated in a best-worst scaling study to quantify preferences for different attributes of MS drug therapy, including delaying progression, improving symptoms, preventing relapse, minor side effects, rare but serious adverse events (SAEs), and route of administration. Conditional logit models were fitted to estimate the relative importance of each attribute in influencing patients' preferences.

RESULTS

A latent-class analysis revealed heterogeneity of preferences across respondents, with preferences differing across five classes. The most important attributes of drug therapy were the avoidance of SAEs for three classes and the improvement of symptoms for two other classes. Only a smaller group of patients demonstrated a specific preference for avoiding SAEs, and route of administration.

CONCLUSION

This study shows that preferences for drug therapy among patients with MS are different, some of which can be explained by experiences with their disease and treatment. These findings can help to inform the focus of interactions that healthcare practitioners have with patients with MS, as well as further drug development.

Preference for pharmaceutical formulation and treatment process attributes

PURPOSE

Pharmaceutical formulation and treatment process attributes, such as dose frequency and route of administration, can have an impact on quality of life, treatment adherence, and disease outcomes. The aim of this literature review was to examine studies on preferences for pharmaceutical treatment process attributes, focusing on research in diabetes, oncology, osteoporosis, and autoimmune disorders.

METHODS

The literature search focused on identifying studies reporting preferences for attributes of the pharmaceutical treatment process. Studies were required to use formal quantitative preference assessment methods, such as utility valuation, conjoint analysis, or contingent valuation. Searches were conducted using Medline, EMBASE, Cochrane Library, Health Economic Evaluation Database, and National Health Service Economic Evaluation Database (January 1993-October 2013).

RESULTS

A total of 42 studies met inclusion criteria: 19 diabetes, nine oncology, five osteoporosis, and nine autoimmune. Across these conditions, treatments associated with shorter treatment duration, less frequent administration, greater flexibility, and less invasive routes of administration were preferred over more burdensome or complex treatments. While efficacy and safety often had greater relative importance than treatment process, treatment process also had a quantifiable impact on preference. In some instances, particularly in diabetes and autoimmune disorders, treatment process attributes had greater relative importance than some or all efficacy and safety attributes. Some studies suggested that relative importance of treatment process depends on disease (eg, acute vs chronic) and patient (eg, injection experience) characteristics.

CONCLUSION

Despite heterogeneity in study methods and design, some general patterns of preference clearly emerged. Overall, the results of this review suggest that treatment process has a quantifiable impact on preference and willingness to pay for treatment, even in many situations where safety and efficacy were the primary concerns. Patient preferences for treatment process attributes can inform drug development decisions to better meet the needs of patients and deliver improved outcomes.

Patients' and physicians' preferences for type 2 diabetes mellitus treatments in Spain and Portugal: a discrete choice experiment

OBJECTIVE

To assess Spanish and Portuguese patients' and physicians' preferences regarding type 2 diabetes mellitus (T2DM) treatments and the monthly willingness to pay (WTP) to gain benefits or avoid side effects.

METHODS

An observational, multicenter, exploratory study focused on routine clinical practice in Spain and Portugal. Physicians were recruited from multiple hospitals and outpatient clinics, while patients were recruited from eleven centers operating in the public health care system in different autonomous communities in Spain and Portugal. Preferences were measured via a discrete choice experiment by rating multiple T2DM medication attributes. Data were analyzed using the conditional logit model.

RESULTS

Three-hundred and thirty (n=330) patients (49.7% female; mean age 62.4 [SD: 10.3] years, mean T2DM duration 13.9 [8.2] years, mean body mass index 32.5 [6.8] kg/m(2), 41.8% received oral + injected medication, 40.3% received oral, and 17.6% injected treatments) and 221 physicians from Spain and Portugal (62% female; mean age 41.9 [SD: 10.5] years, 33.5% endocrinologists, 66.5% primary-care doctors) participated. Patients valued avoiding a gain in bodyweight of 3 kg/6 months (WTP: €68.14 [95% confidence interval: 54.55-85.08]) the most, followed by avoiding one hypoglycemic event/month (WTP: €54.80 [23.29-82.26]). Physicians valued avoiding one hypoglycemia/week (WTP: €287.18 [95% confidence interval: 160.31-1,387.21]) the most, followed by avoiding a 3 kg/6 months gain in bodyweight and decreasing cardiovascular risk (WTP: €166.87 [88.63-843.09] and €154.30 [98.13-434.19], respectively). Physicians and patients were willing to pay €125.92 (73.30-622.75) and €24.28 (18.41-30.31), respectively, to avoid a 1% increase in glycated hemoglobin, and €143.30 (73.39-543.62) and €42.74 (23.89-61.77) to avoid nausea.

CONCLUSION

Both patients and physicians in Spain and Portugal are willing to pay for the health benefits associated with improved diabetes treatment, the most important being to avoid hypoglycemia and gaining weight. Decreased cardiovascular risk and weight reduction became the third most valued attributes for physicians and patients, respectively.

Societal preferences for rheumatoid arthritis treatments: evidence from a discrete choice experiment

OBJECTIVE

There is a concern that cost-effectiveness analysis using quality-adjusted life years does not capture all valuable benefits of treatments. The objective of this study was to determine the value society places on aspects of RA treatment to inform policymaking.

METHODS

A discrete choice experiment was administered to a representative sample of the Canadian general population. The discrete choice experiment, developed using focus groups, had seven attributes (route and frequency of administration, chance of benefit, chance of serious and minor side effects, confidence in evidence and life expectancy). A conditional logit regression model was used to estimate the significance and relative importance of attributes in influencing preferences on the quality-adjusted life years scale.

RESULTS

Responses from 733 respondents who provided rational responses were analysed. Six attribute levels within four attributes significantly influenced preferences for treatments: a willingness to trade a year of life expectancy over a 10-year period to increase the probability of benefiting from treatment, or two-thirds of a year to reduce minor or serious side effects to the lowest level or improve the confidence in benefit/side-effect estimates. There was also some evidence of a preference for oral drug delivery, though a subgroup analysis suggested this preference was restricted to injection-naive respondents.

CONCLUSION

Our results suggest society values the degree of confidence in the estimates of risks and benefits of RA treatments and the route of administration, as well as benefits and side effects. This study provides important evidence to policymakers determining the cost-effectiveness of treatments in arthritis.

The patient perspective of diabetes care: a systematic review of stated preference research

BACKGROUND

The importance of understanding the perspective of patients towards their own care is increasingly recognized, both in clinical practice and in pharmaceutical drug development. Stated preference methods to assess the preference of patients towards different aspects of diabetes treatment have now been applied for over a decade.

OBJECTIVE

Our goal was to examine how stated preference methods are applied in diabetes care, and to evaluate the value of this information in developing the patient perspective in clinical and policy decisions.

METHODS

A systematic review was conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. The information sources were MEDLINE, EMBASE, Biosis, Current Contents, Web of Science, CINAHL, PsycINFO, and EconLit.

RESULTS

Three contingent valuation studies and 11 discrete choice experiments were retrieved. The majority of studies were conducted from 2009 onwards, but some date back to 1998. The reasons provided for applying the stated preference methods were to help differentiate between products, or to enable inclusion of the patient's perspective in treatment decisions. The main aspects of treatment examined were related to glucose control, adverse events, and drug administration. The majority of patients preferred glucose control over avoiding minor hypoglycemic events. Patient willingness to pay was above $US100/month for glucose control, avoiding immediate health hazards such as nausea, and oral or inhaled drug administration. Preference towards drug administration was highly associated with previous experience with injectable diabetes medicine.

CONCLUSIONS

The ability of a drug to lower glucose levels plays a decisive role in the choice between alternative treatments. Future research should strive to develop questionnaire designs relevant for the decision context of the study. That is, if the aim is to foster shared decision making, in clinical practice or drug development, this should guide the study design. Furthermore, concise reporting of all study dimensions-from the qualitative prework to the analysis stage-is warranted.

Factors influencing insulin acceptance among type 2 diabetes mellitus patients in a primary care clinic: a qualitative exploration

BACKGROUND

Many Type 2 Diabetes Mellitus (T2DM) patients refuse insulin therapy even when they require this modality of treatment. However, some eventually accept insulin. This study aimed to explore the T2DM patients' reasons for accepting insulin therapy and their initial barriers to use insulin.

METHODS

This qualitative study interviewed twenty-one T2DM patients at a primary care clinic who had been on insulin for more than a year through three in-depth interviews and three focus group discussions. A semi structured interview protocol was used and the sessions were audio-recorded. Subsequently, thematic analysis was conducted to identify major themes.

RESULTS

The participants' acceptance of insulin was influenced by their concerns and beliefs about diabetes and insulin. Concerns about complications of poorly controlled diabetes and side effects of other treatment regime had resulted in insulin acceptance among the participants. They also had a strong belief in insulin benefits and effectiveness. These concerns and beliefs were the results of having good knowledge about the diabetes and insulin, experiential learning, as well as doctors' practical and emotional support that helped them to accept insulin therapy and become efficient in self-care management. These factors also allayed their negative concerns and beliefs towards diabetes and insulin, which were their barriers for insulin acceptance as it caused fear to use insulin. These negative concerns were related to injection (self-injection, needle phobia, injection pain), and insulin use (inconvenience, embarrassment, lifestyle restriction, negative social stigma, and poor self-efficacy), whereas the negative beliefs were 'insulin could cause organ damage', 'their diabetes was not serious enough', 'insulin is for life-long', and 'insulin is for more severe disease only'.

CONCLUSIONS

Exploring patients' concerns and beliefs about diabetes and insulin is crucial to assist physicians in delivering patient-centered care. By understanding this, physicians could address their concerns with aim to modify their patients' misconceptions towards insulin therapy. In addition, continuous educations as well as practical and emotional support from others were found to be valuable for insulin acceptance.

TRIAL REGISTRATION

Universiti Kebangsaan Malaysia FF-214-2009.

Perceived medication benefits and their association with interest in using inhaled insulin in type 2 diabetes: a model of patients' cognitive framework

OBJECTIVE

To examine predictors of patient perceived relevance of different diabetes medication benefits, and to determine how medication benefit ratings of an inhaled insulin were associated with evaluation of, and interest in that inhaled insulin.

METHODS

The study was an Internet survey of a US sample (n = 1094) of adults with type 2 diabetes using different medication regimens. Patients were given a brief description of potential clinical benefits and administration procedures for the inhaled insulin described in this study (based on MannKind Corporation's Technosphere insulin). Measures included indicators of medication benefits, needs and relevance, benefit ratings and overall evaluation of the studied inhaled insulin relative to current medication, and interest in the study medication. Multivariate regression assessed significant (P < 0.05) independent associations, controlling for demographic and disease characteristics.

RESULTS

Relevance of potential medication benefits (avoidance of hyperglycemia, hypoglycemia, weight gain, discomfort/inconvenience) was significantly associated with objective and subjective indicators of patients' needs. Most need indicators were associated only with the specific benefit to which they apply; concerns about weight and lifestyle were associated with multiple benefits. Ratings of the studied inhaled insulin for avoiding postprandial hyperglycemia and discomfort/inconvenience were associated with overall evaluation of and interest in the inhaled insulin described in this study; rating of this medication for avoiding weight gain was associated with overall evaluation ratings.

CONCLUSIONS

Relevance of different potential benefits was based on objective and subjective indicators of need. Perceived efficacy of the inhaled insulin described in this study for avoiding postprandial hyperglycemia and discomfort/inconvenience were the benefits most strongly related to the evaluation of and interest in this medication.