Understanding healthcare providers' preferred attributes of pediatric pneumococcal conjugate vaccines in the United States.

As higher-valent pneumococcal conjugate vaccines (PCVs) become available for pediatric populations in the US, it is important to understand healthcare provider (HCP) preferences for and acceptability of PCVs. US HCPs (pediatricians, family medicine physicians and advanced practitioners) completed an online, cross-sectional survey between March and April 2023. HCPs were eligible if they recommended or prescribed vaccines to children age <24 months, spent ≥25% of their time in direct patient care, and had ≥2 y of experience in their profession. The survey included a discrete choice experiment (DCE) in which HCPs selected preferred options from different hypothetical vaccine profiles with systematic variation in the levels of five attributes. Relative attribute importance was quantified. Among 548 HCP respondents, the median age was 43.2 y, and the majority were male (57.9%) and practiced in urban areas (69.7%). DCE results showed that attributes with the greatest impact on HCP decision-making were 1) immune response for the shared serotypes covered by PCV13 (31.4%), 2) percent of invasive pneumococcal disease (IPD) covered by vaccine serotypes (21.3%), 3) acute otitis media (AOM) label indication (20.3%), 4) effectiveness against serotype 3 (17.6%), and 5) number of serotypes in the vaccine (9.5%). Among US HCPs, the most important attribute of PCVs was comparability of immune response for PCV13 shared serotypes, while the number of serotypes was least important. Findings suggest new PCVs eliciting high immune responses for serotypes that contribute substantially to IPD burden and maintaining immunogenicity against serotypes in existing PCVs are preferred by HCPs.

Understanding what matters to metastatic castration-resistant prostate cancer (mCRPC) patients when considering treatment options: A US patient preference survey.

BACKGROUND: Understanding how patients perceive the efficacy, safety, and administrative burden of treatments for metastatic castration-resistant prostate cancer (mCRPC) can facilitate shared-decision making for optimal management. This study sought to elicit patient preferences for mCRPC treatments in the US. METHODS: We conducted a cross-sectional survey using the discrete-choice experiment method. Participants were asked to state their choices over successive sets of treatment alternatives, defined by varying levels of treatment attributes: overall survival (OS), months until patients develop a fracture or bone metastasis, likelihood of requiring radiation to control bone pain, fatigue, nausea, and administration (i.e., oral/IV injection/IV infusion). Using mixed logit models, we determined the value (i.e., preference weights) that respondents placed on each attribute. Relative attribute importance (RAI) and marginal rates of substitution (MRS) were calculated to understand patients' willingness to make tradeoffs among different attributes. RESULTS: The final data set numbered 160 participants, with a mean age of 71.6 years old and a mean of 8.96 years since prostate cancer diagnosis. Participants' treatment preferences were as follows: OS (RAI: 31%), bone pain control (23%), nausea (16%), delaying fracture or bone metastasis (15%), fatigue (11%), and administration (3%). The MRS demonstrated that respondents were willing to trade 1.9 months of OS to eliminate moderate nausea and 3.3 months of OS for a reduction in fatigue from severe to mild. CONCLUSIONS: Improving OS is the highest priority for patients with mCRPC, but they are willing to trade some survival to reduce the risk of requiring radiation to control bone pain, delay a fracture or bone metastasis, and experience less severe nausea and fatigue.

Edge Computing of Online Bounded-Error Query for Energy-Efficient IoT Sensors.

Since the power of transmitting one-bit data is higher than that of computing one thousand lines of code in IoT (Internet of Things) applications, it is very important to reduce communication costs to save battery power and prolong system lifetime. In IoT sensors, the transformation of physical phenomena to data is usually with distortion (bounded-error tolerance). It introduces bounded-error data in IoT applications according to their required QoS2 (quality-of-sensor service) or QoD (quality-of-decision making). In our previous work, we proposed a bounded-error data compression scheme called BESDC (Bounded-Error-pruned Sensor Data Compression) to reduce the point-to-point communication cost of WSNs (wireless sensor networks). Based on BESDC, this paper proposes an online bounded-error query (OBEQ) scheme with edge computing to handle the entire online query process. We propose a query filter scheme to reduce the query commands, which will inform WSN to return unnecessary queried data. It not only satisfies the QoS2/QoD requirements, but also reduces the communication cost to request sensing data. Our experiments use real data of WSN to demonstrate the query performance. Results show that an OBEQ with a query filter can reduce up to 88% of the communication cost when compared with the traditional online query process.

Patient Preferences for Benefits, Risks, and Administration Route of Hypomethylating Agents in Myelodysplastic Syndromes.

INTRODUCTION/BACKGROUND: Therapy with infused or injected hypomethylating agents (HMAs) may lead to higher treatment administration burden (ie, local reaction, visit frequency and duration) vs. oral HMAs.   OBJECTIVES: To reveal preferences of US and Canadian patients with myelodysplastic syndromes (MDS) for HMAs' benefits, risks, and administration burden through an online discrete-choice experiment (DCE). MATERIALS AND METHODS: Choice of DCE attributes and survey development were informed by literature review and interviews with clinicians, MDS patients, and caregivers serving as patient proxies, and patient advocacy groups (PAGs) representatives, including from AAMAC, AAMDS, and MDSF. DCE choice tasks were analyzed using random parameter logit models. Survey patients were recruited by the PAGs via their networks. To understand key preference drivers and how much patients were willing to trade between attributes, we calculated each attribute's relative attribute importance (RAI) and marginal rates of substitution. RESULTS: One hundred eighty-four respondents (including 158 patients; mean age, 67.2 years; male, 50.5%; White, 50.5%; US residents, 88%) completed the survey. MDS risk was low (34.8%), high (30.9%), or unknown (34.2%). RAI (in decreasing order) was as follows: risk of AML (40%), fatigue level (33%), number of visits (12%), mode of administration (6%), visit duration (5%), and administration frequency (4%). Assuming the same risk of AML transformation or level of fatigue, most respondents (76.6%) were predicted to switch to an oral pill if it were available to them. CONCLUSION: Given equivalent effectiveness across HMAs, patients' preferences for HMA administration method should be considered in treatment decision-making to minimize burden and facilitate adherence.

Measuring Meaningful Benefit-Risk Tradeoffs to Promote Patient-Focused Drug Development in Prader-Willi Syndrome: A Discrete-Choice Experiment.

Background. Prader-Willi syndrome (PWS) is a rare neurodevelopmental disorder causing quality of life impairments such as insatiable hunger (hyperphagia) and obesity. We explored caregivers' willingness to assume treatment risk in exchange for reduced hyperphagia according to a PWS-validated observer-reported outcome measure. Methods. We partnered with PWS patient organizations to develop a discrete-choice experiment exploring caregivers' benefit-risk tradeoffs for emerging PWS treatments. The treatment benefit was a reduction in hyperphagia (as measured by a 0-, 5-, or 10-point change on the Hyperphagia Questionnaire for Clinical Trials [HQ-CT]). Treatment risks included weight gain (none, 5%, 10%), added risk of skin rash (none, 10%, 20%), and risk of liver damage (none, 1 in 1000, 10 in 1000). Preference models were estimated using mixed logistic regression and maximum acceptable risk. We explored differences in preferences across familial caregivers of patients with and without hyperphagia. Results. Four hundred sixty-eight caregivers completed the online survey. The majority of caregivers reported that patients experienced hyperphagia (68%) and half of patients experienced obesity (52%). Caregivers of patients without hyperphagia were willing to accept greater weight gain (16.4% v. 8.1%, P = 0.004) and a higher risk of skin rash (11.7% v. 6.2% P = 0.008) as compared to caregivers of patients with hyperphagia. Caregivers of patients with hyperphagia would accept a higher risk of liver damage as compared to caregivers of patients without hyperphagia (11.9 out of 1000 v. 6.4 out of 1000, P = 0.04). Conclusions. This research demonstrates that caregivers are willing to accept risk in exchange for a five-point improvement on the HQ-CT, a smaller marginal improvement than had been previously classified as meaningful. Patient experience with hyperphagia is a modifier in how much risk caregivers will accept.

Patient and caregiver benefit-risk preferences for nonmetastatic castration-resistant prostate cancer treatment.

BACKGROUND: Recently approved second-generation androgen receptor inhibitors (SGARIs) for non-metastatic castration-resistant prostate cancer (nmCRPC) have similar efficacy but differ in safety profiles. We used a discrete choice experiment (DCE) to examine how nmCRPC patients and caregivers perceive the benefits versus risks of these new treatments. METHODS: An online DCE survey with 14 treatment choice questions was administered to nmCRPC patients and caregivers. Each choice question compared two hypothetical medication profiles varying in terms of 5 safety attributes (risk or severity of adverse events [AEs]: fatigue, skin rash, cognitive problems, serious fall, and serious fracture) and two efficacy attributes (duration of overall survival [OS] and time to pain progression). Random parameters logit models were used to estimate each attribute's relative importance. We also estimated the amounts of OS that respondents were willing to forego for a reduction in AEs. RESULTS: In total, 143 nmCRPC patients and 149 caregivers viewed the AEs in following order of importance (most to least): serious fracture, serious fall, cognitive problems, fatigue, and skin rash. On average, patients were willing to trade 5.8 and 4.0 months of OS to reduce the risk of serious fracture and fall, respectively, from 3% to 0%; caregivers were willing to trade 6.6 and 5.4 months of OS. CONCLUSIONS: nmCRPC patients and caregivers preferred treatments with lower AE burdens and were willing to forego OS to reduce the risk and severity of AEs. Our results highlight the importance of carefully balancing risks and benefits when selecting treatments in this relatively asymptomatic population.

How Do Members of the Duchenne and Becker Muscular Dystrophy Community Perceive a Discrete-Choice Experiment Incorporating Uncertain Treatment Benefit? An Application of Research as an Event.

BACKGROUND: Best-worst scaling methods have been used in several Duchenne and Becker muscular dystrophy (DBMD) studies to quantify patient and caregiver priorities and preferences and promote patient-focused drug development (PFDD). We sought to assess the extent to which different members of the DBMD community would accept a discrete-choice experiment (DCE) that incorporates uncertainty regarding individual-level benefit. METHODS: A community advisory board encouraged the development and testing of a DCE to further examine treatment preferences in DBMD and to facilitate the inclusion of a policy-relevant uncertainty attribute. The DCE assessed preferences across a primary outcome (muscle strength) and several risks (uncertainty regarding treatment benefit, kidney damage risk, and fracture risk). The single instrument was tested among adult patients, caregivers, and professionals at the national Parent Project Muscular Dystrophy annual meeting. The DCE was analyzed using conditional logit. Instrument acceptability was evaluated using a previously developed set of questions assessing ease of understanding and answering, and if answers reflected the respondents' real preferences. We proposed a 75% agreement rate as a threshold of acceptability, and used a Z score to assess if this was met, exceeded, or rejected. RESULTS: A total of 161 people completed the survey including 9 patients, 87 caregivers, and 65 professionals. Patients reported high acceptability across all evaluation items (p values > 0.21). Caregivers and professionals exceeded the benchmark of acceptability on understanding and reflecting real preferences (p < 0.001). Professionals met the benchmark (p = 0.08) for ease of answering, but caregivers did not (p < 0.01). DCE results demonstrated that all groups made meaningful trade-offs, with patients being less tolerant of risks than either caregivers or professionals (p < 0.001), and with no significant difference between caregivers and professionals (p = 0.46). CONCLUSIONS: This study demonstrates the acceptable application of a single instrument across a multi-stakeholder population that used a complex preference method and included a policy-relevant uncertainty variable. Ease of answering was lowest among caregivers, but a post-hoc analysis revealed that it was most difficult for those with children under the age of 10, while those with older children met the threshold. The success of this study has laid the foundation for a global study of DBMD preferences using this method.

Caregiver priorities for endpoints to evaluate treatments for Prader-Willi syndrome: a best-worst scaling.

OBJECTIVES: Prader-Willi syndrome (PWS) is a rare genetic disorder associated with varying degrees of hyperphagia, obesity, intellectual disability, and anxiety across the affected individuals' lifetimes. This study quantified caregiver priorities for potential treatment endpoints to identify unmet needs in PWS. METHODS: The authors partnered with the International Consortium to Advance Clinical Trials for PWS (PWS-CTC) and a diverse stakeholder advisory board to develop a best-worst scaling instrument. Seven relevant endpoints were assessed using a balanced incomplete block design. Caregivers were asked to determine the most and least important of a sub-set of four endpoints in each task. Caregivers were recruited nationally though patient registries, email lists, and social media. Best-worst score was calculated to determine caregiver priorities; ranging from 0 (least important) to 10 (most important). A novel kernel-smoothing approach was used to analyze caregiver endpoint priority variations with relation to age of the PWS individual. RESULTS: In total, 457 caregivers participated in the study. Respondents were mostly parents (97%), females (83%), and Caucasian (87%) who cared for a PWS individual ranging from 4-54 years. Caregivers value treatments addressing hyperphagia (score = 7.08, SE = 0.17) and anxiety (score = 6.35, SE = 0.16) as most important. Key variations in priorities were observed across age, including treatments targeting anxiety, temper outbursts, and intellectual functions. CONCLUSIONS: This study demonstrates that caregivers prioritize hyperphagia and, using a novel method, demonstrates that this is independent of the age of the person with PWS. This is even the case for parents of young children who have yet to experience hyperphagia, indicating that these results are not subject to a hypothetical bias.

Research as an event: a novel approach to promote patient-focused drug development.

Patient groups are increasingly engaging in research to understand patients' preferences and incorporate their perspectives into drug development and regulation. Several models of patient engagement have emerged, but there is little guidance on how to partner with patient groups to engage the disease community. Our group has been using an approach to engage patient groups that we call research as an event. Research as an event is a method for researchers to use a community-centered event to engage patients in their own environment at modest incremental cost. It is a pragmatic solution to address the challenges of engaging patients in research to minimize patients' frustration, decrease the time burden, and limit the overall cost. The community, the event, and the research are the three components that constitute the research as an event framework. The community represents a disease-specific community. The event is a meeting of common interest for patients and other stakeholders, such as a patient advocacy conference. The research describes activities in engaging the community for the purpose of research. Research as an event follows a six-step approach. A case study is used to demonstrate the six steps followed by recommendations for future implementation.

Identifying and prioritizing concerns associated with prosthetic devices for use in a benefit-risk assessment: a mixed-methods approach.

OBJECTIVE: We identified and prioritized concerns reported by stakeholders associated with novel upper-limb prostheses. METHODS: An evidence review and key-informant engagement, identified 62 concerns with upper-limb prostheses with implantable components. We selected 16 concerns for inclusion in a best-worst scaling (BWS) prioritization survey. Focus groups and BWS were used to engage stakeholders at a public meeting on prostheses. In 16 BWS choice tasks, attendees selected the most and least influential concern when choosing an upper-limb prosthesis. Aggregate data were analyzed using choice frequencies and conditional logit analysis. Latent class analysis examined heterogeneity in priorities. Estimates were adjusted to importance ratios which indicate how influential each concern is in the decision making process. RESULTS: Forty-seven (47) stakeholders from diverse backgrounds completed the BWS survey (response rate 51%). On aggregate, the most influential concern was reliability of the device (importance ratio: 13%), and least influential was the concern of an outdated device (importance ratio: 1%). Latent class analysis identified two classes with approximately 50% of participants each. The first class was most influenced by effectiveness of the device. The second class was most influenced by minimizing risks. CONCLUSION: In this pilot, we identified heterogeneity in how participants prioritize concerns for upper-limb prostheses.