Treatment Preferences in Germany Differ Among Apheresis Patients with Severe Hypercholesterolemia

Patient versus physician preferences for lipid-lowering drug therapy: A discrete choice experiment

BACKGROUND

The emergence of proprotein convertase subtilisin/kexin type 9 inhibitors offered dyslipidemia patients an alternative to statins for lipid-lowering treatment. Understanding patient and physician preferences for lipid-lowering drugs may promote shared decision-making and improve treatment outcomes.

METHODS

This study utilized an online discrete choice experiment (DCE) to assess the relative importance (RI) of six attributes related to lipid-lowering drugs, including frequency of administration, mode of administration, reduction of low-density lipoprotein cholesterol (LDL-C) level, risk of myopathy, risk of liver damage, and out-of-pocket monthly cost. Respondents were recruited from dyslipidemia patients and cardiovascular physicians in China. A mixed logit model and latent class analysis were employed to estimate the preference coefficient, marginal willingness to pay (mWTP), and RI of attributes. Ethical approval has been obtained for this study.

RESULTS

A total of 708 patients and 507 physicians participated in the survey. Patients prioritized the 'risk of liver damage' (RI = 23.6%) with 'mode of administration' (RI = 19.2%) and 'frequency of administration' (RI = 18.8%) following closely. Contrarily, physicians prioritized the 'reduction of LDL-C level' (RI = 33.5%), followed by 'risk of liver damage' (RI = 26.0%) and 'risk of myopathy' (RI = 16.1%). Patients placed a higher value on 'frequency of administration' (p < .001) and 'mode of administration' (p < .001) compared to physicians, while physicians valued 'reduction of LDL-C level' (p < .001) and 'risk of myopathy' (p = .012) more than patients. Physicians exhibited higher mWTP than patients for all attributes except frequency and mode of administration. The LCA revealed three distinct patient classes: focus on oral administration, focus on hepatic safety and frequency and focus on hepatic safety and cost. Likewise, three physician classes were identified: frequency-insensitive, efficacy-focused and safety-focused.

CONCLUSIONS

The preferences for lipid-lowering drug therapy differed between patients and physicians in China. Physicians should take into account patients' preferences and provide personalized treatment when they formulate lipid-lowering treatment plans.

PATIENT OR PUBLIC CONTRIBUTION

Patients participated in the questionnaire design process. They engaged in a focus group discussion to determine attributes and levels and also participated in a pilot survey to assess the comprehensibility of the questionnaires. Additionally, patients were involved in the DCE survey to express their preferences. The findings of patient preference for lipid-lowering drug therapy will promote shared decision-making and optimize the treatment regimen.

Preferences for Monitoring Comprehensive Heart Failure Care: A Latent Class Analysis

OBJECTIVE

To measure preference heterogeneity for monitoring systems among patients with a chronic heart failure.

METHODS

A best-worst scaling experiment (BWS case 3) was conducted among patients with chronic heart failure to assess preferences for hypothetical monitoring care scenarios. These were characterized by the attributes mobility, risk of death, risk of hospitalization, type and frequency of monitoring, risk of medical device, and system-relevant complications. A latent class analysis (LCA) was used to analyze and interpret the data. In addition, a market simulator was used to examine which treatment configurations participants in the latent classes preferred.

RESULTS

Data from 278 respondents were analyzed. The LCA identified four heterogeneous classes. For class 1, the most decisive factor was mobility with a longer distance covered being most important. Class 2 respondents directed their attention toward attribute "monitoring," with a preferred monitoring frequency of nine times per year. The attribute risk of hospitalization was most important for respondents of class 3, closely followed by risk of death. For class 4, however, risk of death was most important. A market simulation showed that, even with high frequency of monitoring, most classes preferred therapy with high improvement in mobility, mortality, and hospitalization.

CONCLUSION

Using LCA, variations in preferences among different groups of patients with chronic heart failure were examined. This allows treatment alternatives to be adapted to individual needs of patients and patient groups. The findings of the study enhance clinical and allocative decision-making while elevating the quality of clinical data interpretation.

Preferences of People Living with HIV for Long-Acting Antiretroviral Treatment in Germany: Evidence from a Discrete Choice Experiment

OBJECTIVE

This study aimed to elicit preferences for attributes of current and novel long-acting antiretroviral therapy for human immunodeficiency virus treatment.

METHODS

Primary survey data were collected (July-October 2022) on a sample of 333 people living with human immunodeficiency virus in Germany from a patient recruitment agency. Respondents were invited by e-mail to respond to a web-based questionnaire. After performing a systematic literature review, we conducted qualitative semi-structured interviews to identify and select the key attributes of drug therapy for patients' preferences for human immunodeficiency virus treatment. Based on this, a discrete choice experiment survey elicited preferences for long-acting antiretroviral therapy characteristics, including the type of medication, frequency of dosing, the location of treatment, the risk of both short-term and long-term side effects, as well as possible interactions with other medications or (party) drugs. A statistical data analysis was performed using multinomial logit models. An additional latent class multinomial logit was performed to evaluate subgroup differences.

RESULTS

Overall, 226 respondents (86% male, mean age 46.1 years) were included in the analysis. The frequency of dosing (36.1%) and the risk of long-term side effects (28.2%) had the greatest influence on preferences. The latent class analysis identified two patient groups. While the first class (n = 135; 87% male, mean age 44.4 years) found the frequency of dosing (44.1%) to be most important, the second class (n = 91; 85% male, mean age 48.6 years) focused on the risk of long-term side effects (50.3%). The evaluation of structural variables showed that male respondents, those living in small cities or villages, and those with better health status results were significantly more likely to be assigned to the second class (p < 0.05 each).

CONCLUSIONS

All attributes included in our survey were important to participants when choosing an antiretroviral therapy. We found evidence that the frequency of dosing as well as the risk of long-term side effects have a particular impact on the acceptance of novel therapy regimens and should be considered in order to optimize adherence and satisfaction.

Investigating patients' preferences for new anti-diabetic drugs to inform public health insurance coverage decisions: a discrete choice experiment in China

Background

Diabetes is a major public health concern with a considerable impact on healthcare expenditures. Deciding on health insurance coverage for new drugs that meet patient needs is a challenge facing policymakers. Our study aimed to assess patients’ preferences for public health insurance coverage of new anti-diabetic drugs in China.

Methods

We identified six attributes of new anti-diabetic drugs and used the Bayesian-efficient design to generate choice sets for a discrete choice experiment (DCE). The DCE was conducted in consecutive samples of type 2 diabetes patients in Jiangsu Province. The mixed logit regression model was applied to estimate patient-reported preferences for each attribute. The interaction model was used to investigate preference heterogeneity.

Results

Data from 639 patients were available for analysis. On average, the most valued attribute was the improvement in health-related quality of life (HRQoL) (β = 1.383, p < 0.001), followed by positive effects on extending life years (β = 0.787, p < 0.001), and well-controlled glycated haemoglobin (β = 0.724, p < 0.001). The out-of-pocket cost was a negative predictor of their preferences (β = -0.138, p < 0.001). Elderly patients showed stronger preferences for drugs with a lower incidence of serious side effects (p < 0.01) and less out-of-pocket costs (p < 0.01). Patients with diabetes complications favored more in the length of extended life (p < 0.01), improvement in HRQoL (p < 0.05), and less out-of-pocket costs (p < 0.001).

Conclusion

The new anti-diabetic drugs with significant clinical effectiveness and long-term health benefits should become the priority for public health insurance. The findings also highlight the value of accounting for preference heterogeneity in insurance policy-making.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-14244-z.

Patient preferences in the treatment of hemophilia A: A latent class analysis

OBJECTIVE

To examine subgroup-specific treatment preferences and characteristics of patients with hemophilia A.

METHODS

Best-Worst Scaling (BWS) Case 3 (four attributes: application type; bleeding frequencies/year; inhibitor development risk; thromboembolic events of hemophilia A treatment risk) conducted via online survey. Respondents chose the best and the worst option of three treatment alternatives. Data were analyzed via latent class model (LCM), allowing capture of heterogeneity in the sample. Respondents were grouped into a predefined number of classes with distinct preferences.

RESULTS

The final dataset contained 57 respondents. LCM analysis segmented the sample into two classes with heterogeneous preferences. Preferences within each were homogeneous. For class 1, the most decisive factor was bleeding frequency/year. Respondents seemed to focus mainly on this in their choice decisions. With some distance, inhibitor development was the second most important. The remaining attributes were of far less importance for respondents in this class. Respondents in class 2 based their choice decisions primarily on inhibitor development, also followed, by some distance, the second most important attribute bleeding frequency/year. There was statistical significance (P < 0.05) between the number of annual bleedings and the probability of class membership.

CONCLUSIONS

The LCM analysis addresses heterogeneity in respondents' choice decisions, which helps to tailor treatment alternatives to individual needs. Study results support clinical and allocative decision-making and improve the quality of interpretation of clinical data.