Adaptive Conjoint Analysis Research Articles

A randomized controlled trial of a self-administered, online decision-aid (“Navya Patient Preference Tool”) to reduce decisional conflict in women with early breast cancer.

7033 Background: Shared decision making to confront choices with clinical equipoise, has been the privilege of those patients with access to time intensive consults with oncologists. We conducted a randomized controlled trial for breast cancer patients to use an online, self-administered, out-of-the-medical-encounter decision aid (DA) to choose between breast conserving surgery (BCS) and mastectomy. Methods: Navya Patient Preference Tool (Navya PPT) is a multilingual DA based on adaptive conjoint analysis of tradeoffs between cost, adverse effects of radiation, and breast conservation. Prior analysis established high internal reliability and external validity of the Navya PPT. Eligible cT1/2, cN0 breast cancer patients planned for surgery were block randomized, in 1:1:1 ratio, to receive the research questionnaire (RQ) to measure decisional conflict on choice of surgery (control, arm 1), Navya PPT followed by RQ (experimental, arm 2) or Navya PPT followed by RQ administered with key male family member (experimental, arm 3). Groups were stratified with respect to age, socio-economic status (SES) and educational level. The study was powered to detect a decrease in Decisional Conflict Index (DCI) by 0.25 (β-0.8, two sided α- 0.01). Results: Between June 2017 and December 2019, 247/255 patients were randomized to arm 1 (83), arm 2 (84), and arm 3 (80). Median age was 48 years (IQR 23-76), and median pT size was .5 cm (0.5-6 cm). 59% of patients were middle or lower SES and 46.2% had ≤ 12th grade education. DCI was significantly reduced in arm 2 as compared with arm 1 (1.34 vs. 1.65, Cohen’s d 0.49 (± 0.31) p<0.05) as well as in arm 3 as compared with arm 1 (1.30 vs. 1.65, Cohen’s d 0.54 (± 0.31) p<0.05). 80% (± 6%) of patients underwent surgery of choice as determined by Navya PPT. BCS rate was similar in all three arms (85.2, 88.9 and 86.5% respectively (p=0.779). Conclusions: Online, self-administered, adaptive DAs used out of the medical encounter can reduce decisional conflict and increase access to shared decision making for every patient; especially in practices with low doctor to patient ratios. Clinical trial information: IEC/0116/1619/001 .

Abstract P1-17-08: Patient preferences: Results of a German adaptive choice-based conjoint analysis study in patients on palliative treatment for advanced breast cancer (aBC)

Abstract Objective: This study aimed to identify patient preferences in aBC related to cancer treatment characteristics, i.e. to determine the relevance of gained lifetime (OS) and time to progression (PFS) in relation to quality of life (QoL) and therapy-associated side effects. Methods: Post-menopausal women with HR+/HER2-aBC receiving 1st or 2nd line treatment were recruited throughout Germany. Patient relevant attributes to assess aBC therapies were collected in a stepwise multi-methodological approach, consisting of desk research, qualitative interviews with patients (n=12), caregivers (n=3) and aBC treating physicians (n=2) and iterative reviews of the empirical findings in a cross-functional team. A draft conjoint matrix was developed which was refined by means of two pre-tests with aBC patients (n=9). The final conjoint matrix consisted of two attributes for therapy goals (OS and PFS), four for QoL and six for side effects. It represented the basis of the subsequent quantitative survey using adaptive choice-based conjoint methodology. Results: In the qualitative phase, QoL emerged as a multidimensional concept, consisting of several factors such as ability to lead a ‘normal’ life, physical capability to do things like before, mobility, carefreeness (not continuously be reminded of the disease), having goals and being able to go for them, and spend quality time with family and friends. Factors limiting QoL were symptom burden, medical controls and side effects, which were considered particularly disturbing if long-lasting, affecting everyday life and when effective management was not available. The quantitative sample consisted of 104 patients (67% 50-64 yrs/33% >65 yrs). Time from aBC diagnosis to survey participation was ≤5 years and >5 years in 50% of patients each. At the time of the survey, 67 patients (64.4%) were receiving 1st line and 37 (35.6%) 2nd line treatment, i.e. regular oral intake in 80%, regular injections in 29% and regular infusions in 15% of patients; the start of the current treatment was ≤1 year in 43% and >1 year in 57% of patients. QoL parameters (physical mobility and flexibility) received the highest value (19.4%), followed by treatment goals (OS 15.2%, PFS 14.4%). Therapy-related side effects turned out to be less important overall with nausea/vomiting being the most relevant side effect (9.3%), followed by infection risk (6.4%), diarrhea (2.9%) and mucosal dryness (1.2%). No significant differences were found between 1st and 2nd line patients. A relation between having experienced a side effect in the past and a desire to avoid it was identified for nausea, vomiting, and dry mucosa. There was no relation between the desire to avoid a side effect and its severity in the past. McFadden pseudo R2 (0.805), Root-Likelihood (0.864) and Chi-square test (2809.041, highly significant (p<0.0001)) demonstrated excellent statistical quality. Conclusions: This study indicated that QoL, PFS and OS are major drivers for therapy selection. Maximizing lifetime may be not an absolute goal and only desirable if no major loss of QoL occurs. Avoiding specific side effects was less relevant than maintaining QoL Citation Format: Mattea Reinisch, Norbert Marschner, Thorsten Otto, Agnieszka Korfel, Clemens Stoffregen, Achim Wöckel. Patient preferences: Results of a German adaptive choice-based conjoint analysis study in patients on palliative treatment for advanced breast cancer (aBC) [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P1-17-08.

Why Physicians Prescribe Prophylactic Seizure Medications after Intracerebral Hemorrhage: An Adaptive Conjoint Analysis

Background: Seizures are a morbid complication of intracerebral hemorrhage (ICH) and increase the risk for herniation, status epilepticus, and worse patient outcomes. Prophylactic levetiracetam is administered to approximately 40% of patients with ICH. It is unclear which patients are consciously selected for treatment by physicians. We sought to determine how patients are selected for treatment with prophylactic levetiracetam after ICH. Methods: We administered an adaptive conjoint analysis using decision making software to an NIH Stroke Trials Network Working Group. The adaptive conjoint analysis determines the most influential attributes for making a decision in an iterative, algorithm-driven process. We asked respondents which would most influence a decision to administer prophylactic levetiracetam. The attributes and their levels were taken from published phenotypes associated with prophylactic seizure medications and the likelihood of seizures after ICH: hematoma location (lobar or basal ganglia), hematoma volume (<=10 mL or >10 mL), level of consciousness (Glasgow Coma Scale 5-12 or Glasgow Coma Scale 13-15), age (<65 or ≥65 years), and race (White or Caucasian or Black/African American). The algorithm terminated when the attributes were ranked from most to least influential. Results: The study sample included 27 respondents who completed the adaptive conjoint analysis out of 42 who responded to the survey with a mean age of 43.4 ± 9.4 years. The attribute with the greatest weight was hematoma location (30%), followed by reduced level of consciousness (24%), hematoma volume (19%), race (14%), and age (13%). Ranks of attributes were different (P < .001). Conclusions: The decision to administer prophylactic levetiracetam to patients with ICH is driven by lobar hematoma location and depressed level of consciousness. Future research on prophylactic seizure medication could focus on patients most likely to receive it.

Prostate cancer tool may help patients to decide on treatment

Prostate cancer tool may help patients to decide on treatment

Patient-Centered Approach to Develop the Patient's Preferences for Prostate Cancer Care (PreProCare) Tool.

Objectives. To describe the development of our Patient Preferences for Prostate Cancer Care (PreProCare) tool to aid patient-centered treatment decision among localized prostate cancer patients. Methods. We incorporated patient and provider experiences to develop a patient preference elicitation tool using adaptive conjoint analysis. Our patient-centered approach used systematic literature review, semistructured patient interviews, and provider focus groups to determine the treatment attributes most important for decision making. The resulting computer-based PreProCare tool was pilot tested in a clinical setting. Results. A systematic review of 56 articles published between 1995 and 2015 yielded survival, cancer recurrence, side effects, and complications as attributes of treatment options. We conducted one-on-one interviews with 50 prostate cancer survivors and 5 focus groups of providers. Patients reported anxiety, depression, treatment specifics, and caregiver burden as important for decision making. Providers identified clinical characteristics as important attribute. Input from stakeholders’ advisory group, physicians, and researchers helped finalize 15 attributes for our PreProCare preference assessment tool. Conclusion. The PreProCare tool was developed using a patient-centered approach and may be a feasible and acceptable preference clarification intervention for localized prostate cancer patients. The PreProCare tool may translate into higher participant engagement and self-efficacy, consistent with patients’ personal values.

Preferences for physical activity: a conjoint analysis involving people with chronic knee pain

To investigate individual preferences for physical activity (PA) attributes in adults with chronic knee pain, to identify clusters of individuals with similar preferences, and to identify whether individuals in these clusters differ by their demographic and health characteristics. An adaptive conjoint analysis (ACA) was conducted using the Potentially All Pairwise RanKings of all possible Alternatives (PAPRIKA) method to determine preference weights representing the relative importance of six PA attributes. Cluster analysis was performed to identify clusters of participants with similar weights. Chi-square and ANOVA were used to assess differences in individual characteristics by cluster. Multinomial logistic regression was used to assess associations between individual characteristics and cluster assignment. The study sample included 146 participants; mean age 65, 72% female, 47% white, non-Hispanic. The six attributes (mean weights in parentheses) are: health benefit (0.26), enjoyment (0.24), convenience (0.16), financial cost (0.13), effort (0.11) and time cost (0.10). Three clusters were identified: Cluster 1 (n=33): for whom enjoyment (0.35) is twice as important as health benefit; Cluster 2 (n=63): for whom health benefit (0.38) is most important; and Cluster 3 (n=50): for whom cost (0.18), effort (0.18), health benefit (0.17) and enjoyment (0.18) are equally important. Cluster 1 was healthiest, Cluster 2 most self-efficacious, and Cluster 3 was in poorest health. Patients with chronic knee pain have preferences for PA that can be distinguished effectively using ACA methods. Adults with chronic knee pain, clustered by PA preferences, share distinguishing characteristics. Understanding preferences may help clinicians and researchers to better tailor PA interventions.

Academic Success is in the Eye of the Beholder: Appointment Preferences in Higher Education

Because scholarly performance is multidimensional, many different criteria may influence appointment decisions. Previous studies on appointment preferences do not reveal how appointment committee members consider and weigh up different criteria when they evaluate candidates. We used adaptive choice-based conjoint analysis to identify scholars’ implicit appointment preferences. Junior and senior scholars (N = 721) from different scientific fields and countries took part in a hypothetical appointment procedure. In contrast to previous studies, we found that the criterion ‘acquired grants’ strongly influences scholars’ decisions. Multiple regressions showed how several factors contribute to differences in appointment preferences. Scholars from the U.S., for example, attach less importance to grants and international orientation and more importance to number of publications than scholars from other countries. Furthermore, we provide evidence for homophily effects, that is, scholars prefer candidates who are s...

Measuring willingness-to-pay for mobile phone features: a multi-region study

Measuring willingness-to-pay for mobile phone features: a multi-region study

Perception of animal welfare issues during Chinese transport and slaughter of livestock by a sample of stakeholders in the industry.

China is the world’s biggest livestock producer, and has a rapidly expanding intensive livestock production in response to growing demand. The large size of the country and geographical dispersion of the livestock production systems means that animals are often transported long distances to slaughter. This study investigated perceptions of animal welfare issues by stakeholders in the Chinese transport and slaughter industry using utility scores and adaptive conjoint analysis. An initial workshop for experts in this field identified key concerns; these were then included in a questionnaire, which was distributed electronically to stakeholders. Stakeholders, particularly those with higher levels of education, were most concerned about the absence of pre-slaughter stunning and failure to maintain unconsciousness throughout the slaughter process. For all livestock species electrical stunning was considered the best method of stunning and blunt trauma the worst; for cattle and sheep stunning using a penetrating captive bolt was considered preferable to the use a percussive captive bolt. Other concerns considered very important were journey quality and livestock workers’ experience and attitudes. Heat stress and closed-sided vehicles were of greater concern than cold stress. Loading facilities and journey length were considered of intermediate importance, while lairage and methods for catching chickens were of least concern. The importance of some welfare concerns, e.g. livestock having to remain standing during a journey, was more commonly recognised by stakeholders who reported a high level of knowledge and experience. Therefore, these welfare issues could be a focus for future training activities. Compared to respondents directly involved in livestock transport, respondents involved in teaching and researching within livestock production rated the presented animal welfare issues as more important. These results can be used to guide development of training programmes, animal welfare research, and certification and regulatory control to target challenges to animal welfare in livestock transport and slaughter in China.

Individual Value Clarification Methods Based on Conjoint Analysis: A Systematic Review of Common Practice in Task Design, Statistical Analysis, and Presentation of Results.

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

Investigating the segment specific preferences for hedonic and utilitarian online-shop characteristics: the case of German online wine shops

Recently the market for grocery online-shopping is expanding. Therefore, this study analyse the influencing factors of online shoppers' preferences for online wine shops with an adaptive choice-based conjoint analysis (ACBC). As these factors in general differ for hedonic and utilitarian goods, we investigated what characteristics presented in the online-shop are most important to customers of a primarily hedonic product like wine. Surprisingly, respondents in general favoured utilitarian over hedonic characteristic levels. In addition, we identified two distinct customer groups by applying a preference-based market segmentation (CCEA). The price/efficiency-seeking group favoured utilitarian characteristics. The quality-seeking group favoured hedonic over utilitarian characteristics, but with a strong importance of some utilitarian website characteristics. Finally management implications are presented.

Eine Untersuchung der Verbraucherpräferenzen für CSR-Aktivitäten deutscher Geflügelproduzenten mittels Adaptiver Conjoint-Analyse

Since the 1950ies, corporate social responsibility is gaining more importance worldwide both in theory and practice. In the agribusiness sector, corporate social responsibility is now firmly on the agenda of many companies. A sub-sector of agribusiness, and a particularly interest for the wider public is the poultry sector. The German market offers a high economic potential, but poultry firms in Germany are increasingly confronted with the skeptical views of critical consumers. Corporate social responsibility can provide a proactive approach for companies to take responsibility for corporate actions and respond to consumers’ requirements. The central issue of this paperis to examine which corporate social responsibility activities are particularly important to consumers. With the help of an adaptive conjoint analysis, the preferences of 250 consumers were collected via an online questionnaire and subsequently analyzed. It becomes apparent that consumers are most concerned by themes which affect them or their own consumption, like product quality. But also topics with high media attention, such as animal welfare issues, are relevant. The results provide interesting starting points for the further development of corporate social responsibility concepts in the poultry sector.

Beyond upgrading typologies - In search of a better deal for honey value chains in Brazil.

Selection of value chain strategies by development practitioners and value chain participants themselves has been restricted to preset types of upgrading. This paper argues for an extension of the range of strategy solutions to value chains. An empirical application identifies successful strategies for honey value chains in Brazil for 2015–2020. Strategy and performance indicators were selected using the value chain Structure-Conduct-Performance (SCP) framework. Experts’ opinion was elicited in a Delphi for business scenarios, and adaptive conjoint analysis was used to identify strategies for increasing production growth and local value-added. This study identifies important strategies beyond upgrading typologies, and finds that important strategies differ by performance goal and scenario. The value chain SCP allows searching for promising strategies towards performance–the “better deal”–in an integrated way.

CSR activities in the German poultry sector: differencing preference groups

Corporate Social Responsibility (CSR) has long been an issue worldwide, and more and more industries are taking note. One important example is the poultry industry in Germany, which has become a focal point of public debate. Increasingly, consumers are demanding that firms take responsibility for their corporate actions. The goals of this study were, first, to analyze consumers’ preferences for poultry firms’ CSR commitment with the help of an adaptive conjoint analysis. Second, a cluster analysis is set out to define consumer groups according to their preferences. With regard to CSR, consumers in this study were most concerned with product quality, animal welfare and employee issues. TV, newspaper and product packaging are their most preferred information sources. Three clusters were identified. Firms should focus more on communicating what their firm’s commitment comprises and should adapt their CSR activities and firm communication methods to the preferences of different target groups.

Coming Out of the Niche? Social Banking in Germany: An Empirical Analysis of Consumer Characteristics and Market Size

The social banking market constitutes a small but rapidly growing submarket of the global banking sector. Due to an explicit commitment to sustainability, social banking is a segment of banking services which is not exclusively focused on economic performance criteria, but pursues ecological and social goal dimensions on an equal footing. Information on the number and reachability of potential social banking customers is essential for social banks to further promote sustainable consumption in finance. In scientific research, social banking is considered a relatively new field, still lacking empirical analyses regarding the market size and specific consumer behaviour. This study addresses the research gap by generating first insights into the German social banking market. Based on an online survey using an adaptive conjoint analysis, a large data set covering 3537 respondents was compiled. Sample 1 comprises 2896 respondents who are customers of three major social banks in Germany. Sample 2 covers the remaining 641 respondents who represent the German adult population and exclusively buy from conventional banks. Logistic regression modelling reveals that social banking customers differ significantly from their conventional counterparts regarding several socio-demographic, behavioural and psychographic factors. In comparison with conventional banking customers, social banking customers tend to be younger, higher educated and located in larger places of residence. Contrary to existing research on socially responsible investors, they are male to a higher proportion than female. Moreover, social banking customers demonstrate stronger sustainable buying patterns and weaker preferences for financial, but stronger preferences for social return than conventional banking customers. The results further indicate a considerable untapped growth potential for social banks by uncovering a market size ranging between 10 and 26% of the German adult population. Finally, suggestions for marketing strategies and future research are given.

Is taste the key driver for consumer preference? A conjoint analysis study

A conjoint design was applied to examine the effects of three conjoint factors (based on the results of two focus groups): one intrinsic attribute (sweetener, with levels of sugar and Stevia) and two extrinsic attributes (brand and package size) on preference and purchase probability for chocolate and sugar substitute chocolate. Tasting and ingredient information were linked to the intrinsic factor.The first objective of this research was to study the influence of using tasting vs. ingredient information as a stimulus on consumers’ preference for chocolate using adaptive conjoint analysis. A second objective was to examine whether completing a behavioural questionnaire might influence consumer’s preference. A third objective was to investigate whether participants could be clustered based on their chocolate preference and if these clusters would be influenced by the stimulus (tasting vs. ingredient information). Given the objectives, a 2×2 factorial design was used with tasting vs. ingredient information as a first factor and completing a behavioural questionnaire vs. not completing a behavioural questionnaire before the conjoint task as the second factor.Respondents were divided into four groups according to the experimental design. A total of 2096 respondents completed the study, resulting in useful data from 1570 respondents. Consumer data were deleted based on consistency checks in the questionnaire.The results indicated that actual tasting led to greater consistency in respondents’ answers. Moreover, tasting had an influence on the importance ratings and the utilities for the overall population sample. Furthermore, completing a behavioural questionnaire did not impact the results of the conjoint analysis. Through clustering the respondents, three clusters were identified: ‘sugar driven’, ‘brand driven’ and ‘sugar substitute driven’. These clusters were recurrent in all four groups of respondents. Tasting or receiving ingredient information about the product did not influence the existence of the clusters. However, this difference in stimulus presentation did induce a shift in cluster sizes.

Understanding Preferences for Treatment After Hypothetical First-Time Anterior Shoulder Dislocation: Surveying an Online Panel Utilizing a Novel Shared Decision-Making Tool.

Background:Although surgical management of a first-time anterior shoulder dislocation (FTASD) can reduce the risk of recurrent dislocation, other treatment characteristics, costs, and outcomes are important to patients considering treatment options. While patient preferences, such as those elicited by conjoint analysis, have been shown to be important in medical decision-making, the magnitudes or effects of patient preferences in treating an FTASD are unknown.Purpose:To test a novel shared decision-making tool after sustained FTASD. Specifically measured were the following: (1) importance of aspects of operative versus nonoperative treatment, (2) respondents’ agreement with results generated by the tool, (3) willingness to share these results with physicians, and (4) association of results with choice of treatment after FTASD.Study Design:Cross-sectional study; Level of evidence, 3.Methods:A tool was designed and tested using members of Amazon Mechanical Turk, an online panel. The tool included an adaptive conjoint analysis exercise, a method to understand individuals’ perceived importance of the following attributes of treatment: (1) chance of recurrent dislocation, (2) cost, (3) short-term limits on shoulder motion, (4) limits on participation in high-risk activities, and (5) duration of physical therapy. Respondents then chose between operative and nonoperative treatment for hypothetical shoulder dislocation.Results:Overall, 374 of 501 (75%) respondents met the inclusion criteria, of which most were young, active males; one-third reported prior dislocation. From the conjoint analysis, the importance of recurrent dislocation and cost of treatment were the most important attributes. A substantial majority agreed with the tool’s ability to generate representative preferences and indicated that they would share these preferences with their physician. Importance of recurrence proved significantly predictive of respondents’ treatment choices, independent of sex or age; however, activity level was important to previous dislocators. A total of 125 (55%) males and 33 (23%) females chose surgery after FTASD, as did 37% of previous dislocators compared with 45% of nondislocators.Conclusion:When given thorough information about the risks and benefits, respondents had strong preferences for operative treatment after an FTASD. Respondents agreed with the survey results and wanted to share the information with providers. Recurrence was the most important attribute and played a role in decisions about treatment.

Measuring trade-offs in nephrology: a systematic review of discrete choice experiments and conjoint analysis studies.

Discrete choice experiment (DCE), conjoint analysis or adaptive conjoint analysis methods are increasingly applied to obtain patient, clinician or community preferences in nephrology. This study systematically reviews the above-mentioned published choice studies providing an overview of the issues addressed, methods and findings. Choice studies relating to nephrology were identified using electronic databases, including Medline, Embase, PsychINFO and Econlit from 1990 to 2015. For inclusion in the review, studies had to primarily relate to kidney disease and include results from statistical (econometric) analyses of respondents' choice or preference. Studies meeting the inclusion criteria were assessed against a range of systematic review criteria, and methods and results summarized. We identified 14 eligible studies from Europe, Australasia, North America and Asia, reporting preferences for treatment or screening, patient experiences, quality of life (QOL), health outcomes and priority-setting frameworks. Specific contexts included medical interventions in kidney transplantation and renal cell carcinoma, health policies for organ donation and allocation, dialysis modalities and end-of-life care, using a variety of statistical models. The characteristics of 'time' (i.e. transplant waiting time, dialysis hours, transport time) and QOL (pre- and post-transplant, or pre- and post-dialysis) consistently influenced patient and clinician preferences across the choice studies. DCE are increasingly used to obtain information about key preferences in kidney transplantation and dialysis. These study methods provide quantitative information about respondents' trade-offs between conflicting clinical and policy objectives, and can establish how preferences vary among stakeholder groups.

R&amp;D partner selection in ICT industry associated with platform technology dominance

In information and communication technology (ICT) areas, dominated platform technologies give significant influences on customer's purchase decision. Therefore, the success of ICT product/service depends on platform technologies. Eventually firms having accumulated knowledge about platform technologies would be preferred as R&D partners according to strategic behaviour theory. We utilise an adaptive conjoint analysis to determine the relative importance of various attributes representing platform technology dominance. The results derived from the preferences of R&D managers show that the network externalities are the most important attribute in selecting the R&D partner. Moreover, the significance of increasing returns to adoption, attracting complementary suppliers and building an early lead follow in the order as mentioned.

Patient preferences for diabetes treatment attributes and drug classes

Objective: To identify which treatment attributes are most influential in determining patient preferences for diabetes treatments and explore patient preferences for diabetes drug classes.Research design and methods: US adults with type 1 or type 2 diabetes completed an online adaptive conjoint analysis survey. The survey examined 14 attributes, including efficacy, regimen, and risk of common side effects and rare but serious adverse events. Respondents selected between hypothetical treatments with different attributes. Sawtooth Software, ordinary least-squares regression, and hierarchical Bayes regression were used to calculate utilities (i.e. preference weights), importance ratings, and shares of preference across 13 diabetes drug classes or combination products.Results: A total of 167 adults (mean age 58 years; 55% female) with type 1 or type 2 diabetes completed the survey. Based on importance ratings, the most influential attributes driving preferences were regimen, risk of diarrhea, weight change, risk of hypoglycemia, and efficacy. Sodium–glucose co-transporter-2 inhibitors (SGLT-2is) were highly preferred in direct comparison to each of the other classes (range: 84.2–99.9%), with the exception of dipeptidyl peptidase-4 inhibitors (DPP-4is); DPP-4is (52.9%) were preferred over SGLT-2is (47.1%).Conclusions: Although preferences varied across participants, attributes with the greatest likelihood of affecting daily life and routine were generally more influential in determining patient preferences. DPP-4is and SGLT-2is were overwhelmingly preferred over other drug classes, primarily due to favorable regimen and side effect profiles. Understanding patient preferences can help optimize patient-centered treatment and may lead to improved patient satisfaction, adherence, and outcomes.Limitations: The primary limitations of this study are that a small sample size of type 1 diabetes patients were included, which may reduce the reliability of the preference estimates, and patients were recruited from a patient panel and may not be representative of patients with diabetes in the US.