Mothers’ Preferences and Willingness to Pay for Human Papillomavirus Vaccination for Their Daughters: A Discrete Choice Experiment in Hong Kong

Objectives

To determine the preference of mothers in Hong Kong and their willingness to pay (WTP) for human papillomavirus (HPV) vaccination for their daughters.

Individuals’ Preferences for Esophageal Cancer Screening: A Discrete Choice Experiment

ObjectivesThe increasing incidence of esophageal adenocarcinoma (EAC) and the dismal prognosis has stimulated interest in the early detection of EAC. Our objective was to determine individuals’ preferences for EAC screening and to assess to what extent procedural characteristics of EAC screening tests predict willingness for screening participation.MethodsA discrete choice experiment questionnaire was sent by postal mail to 1000 subjects aged 50 to 75 years who were randomly selected from the municipal registry in the Netherlands. Each subject answered 12 discrete choice questions of 2 hypothetical screening tests comprising 5 attributes: EAC-related mortality risk reduction, procedure-related pain and discomfort, screening location, test specificity, and costs. A multinomial logit model was used to estimate individuals’ preferences for each attribute level and to calculate expected rates of uptake.ResultsIn total, 375 individuals (37.5%) completed the questionnaire. Test specificity, pain and discomfort, mortality reduction, and out-of-pocket costs all had a significant impact on respondents’ preferences. The average expected uptake of EAC screening was 62.8% (95% confidence interval [CI] 61.1-64.5). Severe pain and discomfort had the largest impact on screening uptake (–22.8%; 95% CI –26.8 to –18.7). Male gender (β 2.81; P < .001), cancer worries (β 1.96; P = .01), endoscopy experience (β 1.46; P = .05), and upper gastrointestinal symptoms (β 1.50; P = .05) were significantly associated with screening participation.ConclusionsEAC screening implementation should consider patient preferences to maximize screening attendance uptake. Based on our results, an optimal screening test should have high specificity, cause no or mild to moderate pain or discomfort, and result in a decrease in EAC-related mortality.     

Does Attribute Framing in Discrete Choice Experiments Influence Willingness to Pay? Results from a Discrete Choice Experiment in Screening for Colorectal Cancer

Objective:  Recent reviews of discrete choice methodology identified methodological issues warranting further exploration, including the issue of "framing." The objective of this study was to conduct a methodological exploration of the effect of attribute framing on marginal rates of substitution (MRS), including willingness to pay (WTP) from a discrete choice experiment (DCE), within the context of colorectal cancer screening preferences.
Methods:  The survey, a fractional factorial design of a two-alternative, unlabeled experiment, was mailed to a sample of 1920 subjects in NSW, Australia. Participants were randomized to one of four alternative "frames" of information. Attributes included: accuracy of the test for finding cancers, accuracy of the test for finding large polyps, how good the test is at saying you don't have cancer, cost, dietary and medication restrictions and sample collection. A mixed logit model was used to estimate preferences; MRS between attributes, including WTP, was calculated.
Results:  A total of 1157 surveys from 1920 (60.2%) were returned. Accuracy of the test for finding cancer was most likely to influence choice of test, followed by accuracy of the test for finding large polyps. Under some circumstances, framing of the attributes (e.g., cancers found vs. cancers missed) influenced the relative importance of attributes. Attribute framing significantly influenced estimates of WTP, and benefit: harm trade-offs that were calculated from MRS.
Conclusions:  Attribute framing can influence willingness to pay and benefit: harm trade-offs from DCEs. Appropriate design and analysis methods should be explored to further characterize the influence and extent of framing in discrete choice studies.     

US Residents’ Preferences for Sharing of Electronic Health Record and Genetic Information: A Discrete Choice Experiment

ObjectivesThe aim to this study was to assess preferences for sharing of electronic health record (EHR) and genetic information separately and to examine whether there are different preferences for sharing these 2 types of information.MethodsUsing a population-based, nationally representative survey of the United States, we conducted a discrete choice experiment in which half of the subjects (N = 790) responded to questions about sharing of genetic information and the other half (N = 751) to questions about sharing of EHR information. Conditional logistic regression models assessed relative preferences across attribute levels of where patients learn about health information sharing, whether shared data are deidentified, whether data are commercialized, how long biospecimens are kept, and what the purpose of sharing the information is.ResultsIndividuals had strong preferences to share deidentified (vs identified) data (odds ratio [OR] 3.26, 95% confidence interval 2.68-3.96) and to be able to opt out of sharing information with commercial companies (OR 4.26, 95% confidence interval 3.42-5.30). There were no significant differences regarding how long biospecimens are kept or why the data are being shared. Individuals had a stronger preference for opting out of sharing genetic (OR 4.26) versus EHR information (OR 2.64) (P = .002).ConclusionsHospital systems and regulatory bodies should consider patient preferences for sharing of personal medical records or genetic information. For both genetic and EHR information, patients strongly prefer their data to be deidentified and to have the choice to opt out of sharing information with commercial companies.     

Assessing Payers’ Preferences for Real-World Evidence in the United States: A Discrete Choice Experiment

ObjectivesTo rank the US payers’ preferences for attributes of real-world evidence (RWE) studies in the context of chronic disease and to quantify trade-offs among them.MethodsWe conducted a discrete choice experiment in which 180 employees from payer organizations were tasked to choose between 2 RWE studies assuming they were assessing evidence to inform formulary decisions for chronic disease treatment. Each RWE study was characterized by 7 attributes with 3 levels each: very informative, moderately informative, and not measured. We used a D-optimal main-effects design. Survey data were fitted to a conditional logit model to obtain a relative measure of the ranking of importance for each attribute.ResultsClinical outcomes were the most preferred attribute. It was 4.68 times as important as productivity outcomes—the least preferred attribute. It was followed by health-related quality of life (2.78), methodologic rigor (2.09), resource utilization (1.71), and external validity (1.56).ConclusionsThis study provides a quantification of the value payers place on key RWE attributes. Across attributes, payers have higher preferences for clinical and health-related quality of life outcomes than the other attributes. Between attributes’ levels, payers prefer high levels of information in clinical outcomes and methodologic rigor but are indifferent in other attributes. Our results bridge the gap between the information that payers seek and the attributes that RWE studies prioritize and effectively guide future research design.     

How Do Treatment Preferences of Patients With Cancer Compare With Those of Oncologists and Family Members? Evidence From a Discrete Choice Experiment in China

ObjectivesThis study aimed to compare the treatment preference among oncologists, patients with lung cancer, and their family members in China.MethodsA face-to-face discrete choice experiment survey was conducted among oncologists, patients, and their family members. Participants completed 13 choice sets describing 6 key attributes, namely, overall survival time, risk of severe adverse effect, severity of pain, appetite, physical functioning status, and monthly cost. Mixed logit model and latent class analysis were used to estimate attribute level preference weights and the relative importance (RI) for attributes. The willingness to pay (WTP) and maximum acceptable risk (MAR) were also estimated. The RI, WTP, and MAR of oncologists, patients, and family members were compared.ResultsA total of 121 oncologists and 161 dyads of patients and family members completed the survey. Overall survival time, physical functioning status, and pain were the 3 most important attributes across all 3 groups. Oncologists and family members had higher RI on overall survival time than patients (48% and 51% vs 38%). Patients had higher RI on physical functioning status and pain (23% and 14%) than oncologists (13% and 12%) and family members (16% and 11%). For extending survival, patients had the least WTP, and family members had the highest MAR. The latent class analysis identified 2 classes in the patient group and 3 classes in oncologist and family member groups.ConclusionsThere were differences in preferences for survival, risk, quality of life, and costs associated with cancer treatments among patients, oncologists, and family members. This finding highlights the need of involving patients in treatment decision making in China.     

Understanding BRCA Mutation Carriers’ Preferences for Communication of Genetic Modifiers of Breast Cancer Risk

Refined estimates of risk based on genetic risk modifiers could assist BRCA mutation carriers in understanding their risk, but it is not clear whether carriers are interested in receiving these estimates or how they might benefit from them. Using qualitative interviews, we investigated female BRCA1 and BRCA2 mutation carriers’ (N = 20) reactions to numerical and verbal presentations of breast cancer risk based on risk modifiers and assessed women’s preferences regarding visual formats for communicating risk. Our results show carriers are interested in receiving refined risk estimates and suggest the estimates may influence decision-making regarding cancer prevention, depending on the nature of the risk assessment. Although accurate and precise estimates of breast cancer risk are most important to women, they preferred quantitative risk estimates expressed as a proportion with or without a population comparison; however, women noted that comparisons to other BRCA mutation carriers were less useful given their high risk. Participants also preferred communication of a risk as a specific percentage versus a range of risk, but a clear preference regarding visual displays was not expressed. Results support many existing recommendations for genetic risk communication and provide guidance for the development of tools incorporating genetic risk modifiers.     

Calculating Preference Weights for the Labor and Delivery Index: A Discrete Choice Experiment on Women’s Birth Experiences

ObjectiveThe aim of this study was to calculate preference weights for the Labor and Delivery Index (LADY-X) to make it suitable as a utility measure for perinatal care studies.MethodsIn an online discrete choice experiment, 18 pairs of hypothetical scenarios were presented to respondents, from which they had to choose a preferred option. The scenarios describe the birth experience in terms of the seven LADY-X attributes. A D-efficient discrete choice experiment design with priors based on a small sample (N = 110) was applied. Two samples were gathered, women who had recently given birth and subjects from the general population. Both samples were analyzed separately using a panel mixed logit (MMNL) model. Using the panel mixed multinomial logit (MMNL) model results and accounting for preference heterogeneity, we calculated the average preference weights for LADY-X attribute levels. These were transformed to represent a utility score between 0 and 1, with 0 representing the worst and 1 representing the best birth experience.ResultsIn total, 1097 women who had recently given birth and 367 subjects from the general population participated. Greater value was placed on differences between bottom and middle attribute levels than on differences between middle and top levels. The attributes that resulted in larger utility increases than the other attributes were “feeling of safety” in the sample of women who had recently given birth and “feeling of safety” and “availability of professionals” in the general population sample.ConclusionsBy using the derived preference weights, LADY-X has the potential to be used as a utility measure for perinatal (cost-) effectiveness studies.     

Previvors’ Uncertainty Management Strategies for Hereditary Breast and Ovarian Cancer

Individuals with a genetic predisposition to develop hereditary breast and ovarian cancer (HBOC), but who have not been diagnosed with cancer, are referred to as previvors. Although genetic testing may reduce previvors’ worries about whether or not they have a high genetic cancer risk, testing positive produces negative emotions and long-term uncertainty—thus requiring the management of uncertainty. Existing research indicates family, friends, and social support networks are limited in their assistance for previvors’ uncertainty management. Therefore, this study examined how health care providers may assist previvors in uncertainty management by asking: What strategies do BRCA-positive previvors enact with their health care providers to help manage their uncertainty about HBOC? Purposive sampling was employed to recruit participants via online social media. The final sample consisted of 34 BRCA-positive women. Interviews revealed four uncertainty management strategies—seeking health care providers as informational sources, seeking health care providers as partners for decision making, seeking health care providers for supportive communication, and seeking referrals from health care providers for social support networks. Findings indicate that health care providers who are knowledgeable about BRCA, provide information, answer questions, check understanding, and provide additional resources assist previvors in managing their uncertainties by distinguishing options and fostering meaning.     

Socio-demographic Moderators of Associations Between Psychological Factors and Latinas’ Breast Cancer Screening Behaviors

This study tested whether socio-demographic factors moderated associations between psychological factors and Latinas’ breast cancer screening behaviors. 222 churchgoing Latinas (40–65 years) in San Diego, CA completed surveys assessing socio-demographics (e.g., income and acculturation), psychological factors (e.g., perceived barriers to screening), and cancer screening behaviors. Multilevel models examined associations of socio-demographic and psychological factors (and their interactions) with adherence to annual mammography or clinical breast exam (CBE) screening. Although no main effects were found, there were moderation effects. Acculturation moderated associations between perceived barriers to screening and both screening outcomes, with inverse associations only among the high-acculturation group. Education moderated the relationship between perceived barriers to screening and CBE screening, with an inverse association only among the low-education group. Marital status moderated the relationship between depressive symptoms and CBE screening, with an inverse association only among single/non-partnered participants. Interventions are needed targeting psychological barriers to breast cancer screening among Latinas.     

Effects of Information on Young Consumers’ Willingness to Pay for Genetically Modified Food: Experimental Auction Analysis

This study examines the effects of information on consumers’ willingness to pay (WTP) for genetically modified food (GMF). We used Vickrey second price experimental auction method for elicitation of consumer WTP for GM potato chips and GM soya-chocolate bar. The sample used in this study was university students from Delhi, India. Four information formats (positive, negative, no information, and combined information about GM technology) were used for the examination. The results show that, when students received the combine information they were willing to pay around 17%–20% premium for GMF and when received the negative information they demanded around 22% discount for GMF. While the positive- and the no-information formats alone have no considerable effect on consumers’ WTP for GMF. Overall, our findings suggest that while doing marketing of GMF in India, the best strategy is to provide combined information about GM technology.     

Women’s Benefits and Harms Trade-Offs in Breast Cancer Screening: Results from a Discrete-Choice Experiment

Background

Over the past decade, the benefits and harms balance of breast cancer (BC) screening has been widely debated.

Using Functional Data Analysis Models to Estimate Future Time Trends in Age-Specific Breast Cancer Mortality for the United States and England–Wales

Background

Mortality/incidence predictions are used for allocating public health resources and should accurately reflect age-related changes through time. We present a new forecasting model for estimating future trends in age-related breast cancer mortality for the United States and England–Wales.

Methods

We used functional data analysis techniques both to model breast cancer mortality-age relationships in the United States from 1950 through 2001 and England–Wales from 1950 through 2003 and to estimate 20-year predictions using a new forecasting method.

Results

In the United States, trends for women aged 45 to 54 years have continued to decline since 1980. In contrast, trends in women aged 60 to 84 years increased in the 1980s and declined in the 1990s. For England–Wales, trends for women aged 45 to 74 years slightly increased before 1980, but declined thereafter. The greatest age-related changes for both regions were during the 1990s. For both the United States and England–Wales, trends are expected to decline and then stabilize, with the greatest decline in women aged 60 to 70 years. Forecasts suggest relatively stable trends for women older than 75 years.

Conclusions

Prediction of age-related changes in mortality/incidence can be used for planning and targeting programs for specific age groups. Currently, these models are being extended to incorporate other variables that may influence age-related changes in mortality/incidence trends. In their current form, these models will be most useful for modeling and projecting future trends of diseases for which there has been very little advancement in treatment and minimal cohort effects (eg. lethal cancers).Key words: breast cancer, forecasting, functional-data-analysis models, mortality trends     

Is Distance to Provider a Barrier to Care for Medicaid Patients With Breast,Colorectal, or Lung Cancer?

Purpose: Distance to provider might be an important barrier to timely diagnosis and treatment for cancer patients who qualify for Medicaid coverage. Whether driving time or driving distance is a better indicator of travel burden is also of interest. Methods: Driving distances and times from patient residence to primary care provider were calculated for 3,917 breast, colorectal (CRC) and lung cancer Medicaid patients in Washington State from 1997 to 2003 using MapQuest.com. We fitted regression models of stage at diagnosis and time‐to‐treatment (number of days between diagnosis and surgery) to test the hypothesis that travel burden is associated with timely diagnosis and treatment of cancer. Findings: Later stage at diagnosis for breast cancer Medicaid patients is associated with travel burden (OR = 1.488 per 100 driving miles, P= .037 and OR = 1.270 per driving hour, P= .016). Time‐to‐treatment after diagnosis of CRC is also associated with travel burden (14.57 days per 100 driving miles, P= .002 and 5.86 days per driving hour, P= .018). Conclusions: Although travel burden is associated with timely diagnosis and treatment for some types of cancer, we did not find evidence that driving time was, in general, better at predicting timeliness of cancer diagnosis and treatment than driving distance. More intensive efforts at early detection of breast cancer and early treatment of CRC for Medicaid patients who live in remote areas may be needed.     

The Role of the Family Environment and Computer-Mediated Social Support on Breast Cancer Patients’ Coping Strategies

Despite the importance of family environment and computer-mediated social support (CMSS) for women with breast cancer, little is known about the interplay of these sources of care and assistance on patients’ coping strategies. To understand this relation, the authors examined the effect of family environment as a predictor of the use of CMSS groups as well as a moderator of the relation between group participation and forms of coping. Data were collected from 111 patients in CMSS groups in the Comprehensive Health Enhancement Support System “Living with Breast Cancer” intervention. Results indicate that family environment plays a crucial role in (a) predicting breast cancer patient's participation in CMSS groups and (b) moderating the effects of use of CMSS groups on breast cancer patients’ coping strategies such as problem-focused coping and emotion-focused coping.     

The Effect of Presenting Information about Invasive Follow-Up Testing on Individuals’ Noninvasive Colorectal Cancer Screening Participation Decision: Results from a Discrete Choice Experiment

ObjectivesMany national colorectal cancer screening campaigns have a similar structure. First, individuals are invited to take a noninvasive screening test, and, second, in the case of a positive screening test result, they are advised to undergo a more invasive follow-up test. The objective of this study was to investigate how much individuals’ participation decision in noninvasive screening is affected by the presence or absence of detailed information about invasive follow-up testing and how this effect varies over screening tests.MethodsWe used a labeled discrete choice experiment of three noninvasive colorectal cancer screening types with two versions that did or did not present respondents with detailed information about the possible invasive follow-up test (i.e., colonoscopy) and its procedure. We used data from 631 Dutch respondents aged 55 to 75 years. Each respondent received only one of the two versions (N = 310 for the invasive follow-up test information specification version, and N = 321 for the no-information specification version).ResultsMixed logit model results show that detailed information about the invasive follow-up test negatively affects screening participation decisions. This effect can be explained mainly by a decrease in choice shares for the most preferred screening test (a combined stool and blood sample test). Choice share simulations based on the discrete choice experiment indicated that presenting invasive follow-up test information decreases screening participation by 4.79%.ConclusionsDetailed information about the invasive follow-up test has a negative effect on individuals’ screening participation decisions in noninvasive colorectal cancer screening campaigns. This result poses new challenges for policymakers who aim not only to increase uptake but also to provide full disclosure to potential screening participants.     

Factors Related to Employers’ Intent to Hire,Retain and Accommodate Cancer Survivors: The Singapore Perspective

Purpose Despite the growing importance of cancer and return-to-work issues in occupational rehabilitation literature in the last decade, academic discussion is largely limited to survivors’ perspectives and some exploratory studies from the employer side. This paper applies two classic theoretical models—Theory of Planned Behavior and Social Cognitive Theory—and key measures from previous studies to identify explicit relationships that explain employer factors to hire and retain cancer survivors. Methods Data were collected from online surveys with senior management executives and senior human resource specialists from various organizations in Singapore, with a total of 145 responses. The 72-item survey instrument included a series of independent variables: (1) Attitudes toward cancer and cancer survivors; (2) Employers’ efficacy; (3) Perceived moral obligation; (4) Employers’ experience; (5) Outcome expectations; (6) Employment situation; (7) Social norms; and (8) Incentives, and dependent variables: (a) Employers’ intention to hire cancer survivors; and (b) Employers’ intention to retain cancer survivors. Results Regression analyses showed that the top three factors related to employers’ intention to retain cancer survivors are perceived moral obligations (β = .39, p < .001), followed by attitudes toward cancer (β = .25, p < .01), and employment situation (β = .17, p < .05). Employers’ efficacy was associated with intention to hire (β = .22, p < .05), coupled with attitude toward cancer survivors (β = .22, p < .01). The findings also indicated the important role of existing relationship between an employer and an employee when it comes to retaining cancer survivors and government incentives for hiring cancer survivors in the workforce. Conclusions The present study provided an avenue to implement the proposed model—a potential study framework for the management of cancer survivors at work. Findings revealed that different messages should be tailored to employers toward hiring and retention issues and provided useful guidelines for employer education materials.     

Does Changing the Age of a Child to be Considered in 3-Level Version of EQ-5D-Y Discrete Choice Experiment–Based Valuation Studies Affect Health Preferences?

ObjectivesThere has been some debate about the choice of perspective and the age of the child considered when completing preference elicitation tasks in the 3-level version of EQ-5D-Y (EQ-5D-Y-3L) valuation protocol. This study aimed to clarify the impact on latent scale EQ-5D-Y-3L values of varying the age of the child experiencing the health state considered by respondents completing the discrete choice experiment (DCE) tasks of the protocol.MethodsWe conducted an online DCE with a representative sample of 1000 adults in the United Kingdom and 1000 adults in the United States. Respondents selected the health state they prefer from a series of DCE paired EQ-5D-Y-3L health state comparisons using their own perspective and that of a hypothetical child from the following age groups: “5-7 years old,” “8-10 years old,” “11-13 years old,” and “14-15 years old.” Data analysis was conducted using separate multinomial logit models for each perspective and country. We also estimated combined models including data from each possible pair of perspectives and used interactions between EQ-5D-Y-3L levels and perspective to determine whether any differences were statistically significant.ResultsNo statistically significant differences in coefficients between perspectives were found in the United States. In the United Kingdom, there were differences between the own perspective and the 5 to 7 years old perspective (looking after myself level 3) and between the 5 to 7 years old perspective and the 8 to 10 years old perspective (usual activities level 3).ConclusionsOur results suggest that there is minimal impact on latent scale values when using different ages of the hypothetical child in the current EQ-5D-Y-3L valuation protocol.