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

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.

Dynamics of Patient-Based Benefit-Risk Assessment of Medicines in Chronic Diseases: A Systematic Review

BACKGROUND

A critical gap exits in understanding the dynamics of patient-based benefit-risk assessment (BRA) of medicines in chronic diseases during the disease journey.

PURPOSE

To systematically review and synthesize current evidence on the changes of patients' preferences about the benefits and risks of medicines during their disease journey including the influence of disease duration and severity, and previous treatment experience.

METHODS

A systematic review of studies identified in PubMed and Embase, from inception to November 2020, was conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. Articles were eligible if they analyzed adult patient-based BRA of medicines with a chronic disease, based on at least one of the pre-specified dimensions: disease severity, disease duration, or previous treatment experience.

RESULTS

A total of 26,228 articles were identified and 105 were eligible for inclusion. Of these, 85 detected a variation in patient-based BRA of medicines with at least one of the pre-specified criteria. Patients with higher disease severity and more treatment experience have increased risk tolerance. It remains inconclusive whether disease duration directly affects the relative importance of a patient's preference.

CONCLUSION

Factors important for patients' BRA of their medicines during a chronic disease journey vary more with their clinical situation and previous treatment experience than with time since diagnosis. Due to the importance of these factors on patients' perspectives and potential impact on their decision-making and eventually their clinical outcomes, there is a need for more studies to assess the dynamics of patients' BRA in every disease.

Weight Change and the Association with Adherence and Persistence to Diabetes Therapy: A Narrative Review

PURPOSE

Type 2 diabetes (T2D) medication adherence is poor and is impacted by individual drug characteristics. Treatment-associated weight change can affect medication-taking behavior. This review aimed to explore weight change on T2D therapy and consider its impact on adherence and discontinuation.

METHODS

Searches were conducted in MEDLINE and EMBASE (2005 to September 2020), and among recent congress abstract books for studies providing data on medication adherence or discontinuation and weight change in people with T2D (PwD).

RESULTS

Nine studies meeting the inclusion criteria were identified from 9188 bibliographic records. All three studies exploring weight change and discontinuation reported weight loss to be associated with higher persistence. Seven studies of varying design explored weight change and adherence. Four reported absolute weight change (kg) and adherence: one pooled data from different diabetes medications and demonstrated that self-reported adherence was significantly associated with weight loss; however, three studies found that weight change in adherent PwD was in the direction of the known weight profile (loss/gain) of the evaluated drug. Categorical weight loss (≥3%) and adherence were reported in two studies: one reported that numerically more adherent versus non-adherent PwD lost ≥3% weight regardless of the drug's weight profile, the other showed that early weight loss with a glucagon-like peptide-1 agonist was significantly associated with better adherence. One study reported adherence by categorical weight change; as weight loss increased, adherence scores improved, regardless of drug type.

CONCLUSION

Findings suggest that discontinuation rates may be lower in PwD who lose as compared to those who gain weight on T2D treatment. The evidence base on adherence and weight change is more challenging to interpret due to the range of study designs. Given the importance of weight control in T2D, further research exploring the individual's treatment, weight journey, and behaviors over time should be undertaken.

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.

Comparing the Preferences of Patients and the General Public for Treatment Outcomes in Type 2 Diabetes Mellitus

BACKGROUND

Healthcare treatments and interventions are traditionally evaluated from the societal perspective, but a more patient-centric perspective has been proposed in recent years. We sought to compare preferences of patients and the general public for treatment outcomes of type 2 diabetes using both best-worst scaling (BWS) and rating approaches.

METHODS

A survey evaluating the treatment priorities for type 2 diabetes was conducted in the United States. Members of the general public and patients with type 2 diabetes were recruited from a nationally sampled panel. Participants indicated the importance of seven potential treatment outcomes (hypoglycemic events, glycated hemoglobin [A1c], weight loss, mental health, functioning, glycemic stability, and cardiovascular health) using (1) BWS case 1 and (2) a rating task. Preference differences from BWS prioritizations were explored using mixed logistic regression (BWS preference weights were probability re-scaled so that the weightings of the seven items collectively summed to 100). The consistency of scale between samples was explored using heteroskedastic conditional logistic regression of BWS data. Spearman rank correlation was used to compare standardized BWS preference weights and rating scores for each group. Both groups evaluated the BWS and rating activities using debriefing questions.

RESULTS

The public and patient samples included 314 and 313 respondents, respectively. The public was on average 16 years younger than patients (48 vs 64 years, P < 0.001). In BWS, patients and the public both ranked A1c, glycemic stability, and cardiovascular health within their top three outcomes. Patients valued the outcome A1c most highly and found it twice as important as did the public (41.0 vs 20.2, P < 0.001). The public valued cardiovascular health most highly, and found it to be twice as important than did patients (31.3 vs 17.4, P < 0.001). Patients were more consistent in their preferences than the public (λ = 1.66, P = 0.01). Preferences elicited using BWS and rating approaches were highly correlated for both patients (ρ = 0.96) and the public (ρ = 0.92). Patients were more likely than the public to endorse the BWS as easy to answer (P < 0.001), easy to understand (P < 0.001), consistent with preferences (P < 0.001), and relevant (P < 0.001). Both patients and the public found the rating activity easier to answer and understand, and more consistent with their preferences, than the BWS (P < 0.001).

CONCLUSIONS

We provide some of the first evidence demonstrating a difference in patient and public treatment priorities for diabetes. That patients were more consistent in their preferences than the public and found the BWS and Likert rating instruments more relevant suggests that patient priorities may be more appropriate than those of the general public in some medical decision-making contexts.

Patient and physician preferences for type 2 diabetes medications: a systematic review

Background

There are several treatments to cure type 2 diabetes (T2D) and every one of them has certain attributes which is lead patients and specialists to have different preferences and select power. Therefore, we did this systematic study to evaluate patients̓ and physicians̓ preferences for type 2 diabetes medications by extracting attributes of anti-diabetic medications and identifying their relative importance.

Methods

We searched the PubMed, Ovid, Web of science, Scopus and Embase databases for articles which have been published on or before May 8th, 2018(The start time of the search in our study was May 8th, 2018).

Results

The searches identified 3346 studies, of which 17 (from 2009 to 2017) were included in the final synthesis and 27 attributes of type 2 anti-diabetic have been investigated. The most important attributes are changes of blood glucose and HbA1c level, hypoglycemia events, weight changes, gastrointestinal complications, cardiovascular effects, medicines cost, and administration mode and dosage of medicines.

Conclusion

physicians and patients prefer antidiabetics which is reduce blood glucose and HbA1c level effectively and have low side effects too (hypoglycemic event, cardiovascular and gastrointestinal). The effect of weight reduction, low cost, low dosing and low frequency of using. Health care providers, Specialist, and manufacturers should consider to these attributes in treatment process and marketing. It can increase adherence to management approaches, and reduce morbidity of patients with type 2 diabetes.

Discrete Choice Experiments in Health Economics: Past, Present and Future

OBJECTIVES

Discrete choice experiments (DCEs) are increasingly advocated as a way to quantify preferences for health. However, increasing support does not necessarily result in increasing quality. Although specific reviews have been conducted in certain contexts, there exists no recent description of the general state of the science of health-related DCEs. The aim of this paper was to update prior reviews (1990-2012), to identify all health-related DCEs and to provide a description of trends, current practice and future challenges.

METHODS

A systematic literature review was conducted to identify health-related empirical DCEs published between 2013 and 2017. The search strategy and data extraction replicated prior reviews to allow the reporting of trends, although additional extraction fields were incorporated.

RESULTS

Of the 7877 abstracts generated, 301 studies met the inclusion criteria and underwent data extraction. In general, the total number of DCEs per year continued to increase, with broader areas of application and increased geographic scope. Studies reported using more sophisticated designs (e.g. D-efficient) with associated software (e.g. Ngene). The trend towards using more sophisticated econometric models also continued. However, many studies presented sophisticated methods with insufficient detail. Qualitative research methods continued to be a popular approach for identifying attributes and levels.

CONCLUSIONS

The use of empirical DCEs in health economics continues to grow. However, inadequate reporting of methodological details inhibits quality assessment. This may reduce decision-makers' confidence in results and their ability to act on the findings. How and when to integrate health-related DCE outcomes into decision-making remains an important area for future research.

Quantified patient preferences for lifestyle intervention programs for diabetes prevention-a protocol for a systematic review

BACKGROUND

The 20-70% participation of diabetes patients in lifestyle interventions (LSI) worldwide seems to be rather sub-optimal, in spite of all intents of such interventions to delay further progress of the disease. Positive effects through LSI are expected in particular for patients who suffer less from diabetes-related limitations or other chronic diseases. Seeing that diabetes prevalence and with it mortality are increasing, LSI have become an inherent part of diabetes treatment standards. Various qualitative studies have been carried out to identify participation barriers for LSI. However, these have not resulted in more detailed knowledge about the relative importance of factors with an inhibiting impact on participation. Since it cannot be assumed that all of the influencing factors have equivalent values, it is necessary to investigate their individual importance with regard to a positive or negative decision about participating. There are no systematic reviews on patient preferences for LSI programs in diabetes prevention. As a result, the main objectives of this systematic review are to (i) identify existing patient preference elicitation studies related to LSI for diabetic patients, (ii) summarize the methods applied and findings, and (iii) appraise the reporting and methodological quality of such studies.

METHODS

We will perform systematic literature searches to identify suitable studies from 14 electronic databases. Retrieved study records will be included based on predefined eligibility criteria as defined in this protocol. We will run abstract and full-text screenings and then extract data from all selected studies by filling in a predefined data extraction spreadsheet. We will undertake a descriptive, narrative synthesis of findings to address the study objectives, since no pooling for quantified preferences is for methodological reasons implementable. We will pay special attention to aspects of methodological quality of preference elicitation by applying established evaluation criteria of the ISPOR and some own developed criteria for different elicitation techniques. All critical stages within the screening, data extraction, and synthesis processes will be conducted by two pairs of authors. This protocol adheres to PRISMA and PRISMA-P standards.

DISCUSSION

The proposed systematic review will provide an overview of the methods used and current practice in the elicitation and quantification of patients' preferences for diabetes prevention lifestyle interventions. Furthermore, the methodological quality of the identified studies will be appraised as well.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42018086988.

Scale Heterogeneity in Healthcare Discrete Choice Experiments: A Primer

Discrete choice experiments (DCEs) are used to quantify the preferences of specified sample populations for different aspects of a good or service and are increasingly used to value interventions and services related to healthcare. Systematic reviews of healthcare DCEs have focussed on the trends over time of specific design issues and changes in the approach to analysis, with a more recent move towards consideration of a specific type of variation in preferences within the sample population, called taste heterogeneity, noting rises in the popularity of mixed logit and latent class models. Another type of variation, called scale heterogeneity, which relates to differences in the randomness of choice behaviour, may also account for some of the observed 'differences' in preference weights. The issue of scale heterogeneity becomes particularly important when comparing preferences across subgroups of the sample population as apparent differences in preferences could be due to taste and/or choice consistency. This primer aims to define and describe the relevance of scale heterogeneity in a healthcare context, and illustrate key points, with a simulated data set provided to readers in the Online appendix.

Clinical effectiveness of liraglutide vs basal insulin in a real-world setting: Evidence of improved glycaemic and weight control in obese people with type 2 diabetes

AIMS

To compare real-world antidiabetic treatment outcomes over 12 months in obese people with type 2 diabetes mellitus (T2DM) who previously received oral antidiabetic therapy and then initiated a first injectable therapy with liraglutide or basal insulin.

PATIENTS AND METHODS

This was a retrospective, propensity score-matched, longitudinal cohort study using real-world data (January 2010 to December 2015) from the Dutch PHARMO Database Network. Adult obese (body mass index [BMI] ≥35 kg/m² ) patients with T2DM with ≥2 dispensing dates for liraglutide or basal insulin supported oral therapy (BOT) were selected. The primary endpoint was the change in glycated haemoglobin (HbA1c) from baseline during 12 months of follow-up. The secondary endpoints were the changes in weight, BMI and cardiovascular risk factors from baseline. Clinical data were analysed using descriptive statistics and compared using mixed models for repeated measures.

RESULTS

Obese patients with T2DM (N = 1157) in each treatment group were matched (liraglutide cohort, n = 544; BOT cohort, n = 613). From 3 months onwards, glycaemic control improved in both cohorts but improved significantly more with liraglutide than with BOT (12 months: -12.2 mmol/mol vs -8.8 mmol/mol; P = .0053). In addition, weight and BMI were significantly lower for treatments with liraglutide vs BOT (12 months: -6.0 kg vs -1.6 kg and - 2.1 kg/m² vs -0.5 kg/m² , respectively; P < .0001 for both). No significant differences were seen in changes in cardiovascular risk factors.

CONCLUSIONS

The results of this real-world study in matched obese patients with T2DM showed that liraglutide was more effective than BOT for HbA1c control and weight/BMI reductions. Patients were more likely to maintain glycaemic control over time after initiating liraglutide than after initiating BOT.

Glucagon-Like Peptide-1 Receptor Agonist Treatment Attributes Important to Injection-Experienced Patients with Type 2 Diabetes Mellitus: A Preference Study in Germany and the United Kingdom

INTRODUCTION

This study assessed the relative importance of treatment-related attributes in influencing patient preferences for glucagon-like peptide-1 receptor agonists (GLP-1RAs) among injection-experienced type 2 diabetes mellitus (T2DM) patients in Germany and the United Kingdom.

METHODS

T2DM patients experienced with injecting once-weekly (QW) exenatide or once-daily (QD) liraglutide completed an online discrete-choice experiment (DCE) survey. Patients chose between hypothetical blinded treatment profiles reflecting attributes of GLP-1RAs. The DCE survey included eight attributes: efficacy, side effects, device size, needle size, titration, injection preparation, long-term efficacy/safety, and dosing frequency. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using a conditional logit model indicating the likelihood of choosing a treatment with a given attribute level versus a reference attribute level.

RESULTS

510 GLP-1RA injection-experienced patients completed the survey; 45.3% respondents were being treated with exenatide QW and 54.7% respondents were being treated with liraglutide QD. In terms of GLP-1RA attributes, patients indicated a preference for a treatment with greater efficacy (i.e., a 1.5-point improvement in HbA1c) (OR 2.58; 95% CI 2.37, 2.80; p < 0.001), fewer side effects (OR 2.67; 95% CI 2.52, 2.82; p < 0.001), once-weekly rather than once-daily administration (OR 2.26; 95% CI 2.13, 2.39; p < 0.001), and the preparation required for a multi-use pen (OR 1.71; 95% CI 1.55, 1.88; p < 0.001). Needle size, device size, and titration were not significant drivers of patient preference.

CONCLUSIONS

Among GLP-1RA injection-experienced patients, key drivers of treatment preference for a hypothetical GLP-RA profile were side effects, efficacy, dosing frequency, and required preparation. Understanding patient preferences is important for optimizing treatment decision-making and improving treatment adherence.

FUNDING

AstraZeneca.

Patient preferences for treatment of multiple sclerosis with disease-modifying therapies: a discrete choice experiment

OBJECTIVES

To assess disease-modifying therapy (DMT) preferences in a population of patients with multiple sclerosis (MS) and to estimate the association between sociodemographic and clinical factors and these preferences.

METHODS

Preferences for DMTs attributes were measured using a discrete choice experiment. Analysis of preferences was assessed using mixed-logit hierarchical Bayes regression. A multilinear regression was used to evaluate the association between the preferences for each attribute and patients' demographic and clinical characteristics. A Student's t-test or Welch's t-test was used for subgroup comparisons.

RESULTS

A total of 125 patients were included in the final analysis (62.9% female, mean age 44.5 years, 71.5% with relapsing-remitting MS diagnosis). The most important factor for patients was the possibility of suffering from the side effects of the treatment (relative importance [RI] =50%), followed by a delay in disease progression (RI =19.4%), and route and frequency of administration (RI =14.3%). According to maximum acceptable risk, patients were willing to accept an increase of 3.8% in severity of side effects, for a delay of 1 year in disease progression. Treatment duration was the most prevalent factor affecting preferences, followed by the age of patients, type of MS, level of education, and the type of current treatment. Patients treated orally were significantly more concerned about the route and frequency of administration (P=0.026) than patients on injectable therapy. Naïve patients stated significantly less importance to prevention of relapses (P=0.021) and deterioration of the capacity for performing usual daily life activities (P=0.015). Finally, patients with >5 years since diagnosis were significantly less concerned about preventing disease progression (P=0.021), and more concerned about treatment side effects (P=0.052) than compared with patients with <5 years of MS history.

CONCLUSION

The most important attribute for MS patients was side effects of DMTs, followed by delay in disability progression. Experience with DMTs and time since MS diagnosis changed patients' preferences. These results give information to adjust new DMT treatment in order to satisfy patients' preferences and therefore, improve adherence to treatment.

Comparison of benefit-risk preferences of patients and physicians regarding cyclooxygenase-2 inhibitors using discrete choice experiments

PURPOSE

To elucidate and compare benefit-risk preferences among Korean patients and physicians concerning cyclooxygenase-2 (Cox-2) inhibitor treatments for arthritis.

MATERIALS AND METHODS

Subjects included 100 patients with arthritis and 60 board-certified orthopedic surgeon physicians in South Korea. Through a systematic review of the literature, beneficial attributes of using Cox-2 inhibitors were defined as a decrease in the Western Ontario and McMaster Universities Arthritis Index for pain score and improvement in physical function. Likewise, risk attributes included upper gastrointestinal (GI) complications and cardiovascular (CV) adverse events. Discrete choice experiments were used to determine preferences for these four attributes among Korean patients and physicians. Relative importance and maximum acceptable risk for improving beneficial attributes were assessed by analyzing the results of the discrete choice experiment by using a conditional logit model.

RESULTS

Patients ranked the relative importance of benefit-risk attributes as follows: pain reduction (35.2%); physical function improvement (30.0%); fewer CV adverse events (21.5%); fewer GI complications (13.4%). The physicians' ranking for the same attributes was as follows: fewer CV (33.5%); pain reduction (32.4%); fewer GI complications (18.1%); physical function improvement (16.0%). Patients were more willing than physicians to accept risks when pain improved from 20% or 45% to 55% and physical function improved from 15% or 35% to 45%.

CONCLUSION

We confirmed that patients and physicians had different benefit-risk preferences regarding Cox-2 inhibitors. Patients with arthritis prioritized the benefits of Cox-2 inhibitors over the risks; moreover, in comparison with the physicians, arthritis patients were more willing to accept the trade-off between benefits and risks to achieve the best treatment level. To reduce the preference gap and achieve treatment goals, physicians must better understand their patients' preferences.