scholarly journals SARS-CoV-2 Testing Service Preferences of Adults in the United States: Discrete Choice Experiment

10.2196/25546 ◽  
2020 ◽  
Vol 6 (4) ◽  
pp. e25546 ◽  
Author(s):  
Rebecca Zimba ◽  
Sarah Kulkarni ◽  
Amanda Berry ◽  
William You ◽  
Chloe Mirzayi ◽  
...  
Keyword(s):  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Turnaround Time ◽  
Urgent Care ◽  
Relative Importance ◽  
Test Type ◽  
Specimen Type ◽  
Testing Uptake ◽  
Community Transmission

Background Ascertaining preferences for SARS-CoV-2 testing and incorporating findings into the design and implementation of strategies for delivering testing services may enhance testing uptake and engagement, a prerequisite to reducing onward transmission. Objective This study aims to determine important drivers of decisions to obtain a SARS-CoV-2 test in the context of increasing community transmission. Methods We used a discrete choice experiment to assess preferences for SARS-CoV-2 test type, specimen type, testing venue, and results turnaround time. Participants (n=4793) from the US national longitudinal Communities, Households and SARS-CoV-2 Epidemiology (CHASING) COVID Cohort Study completed our online survey from July 30 to September 8, 2020. We estimated the relative importance of testing method attributes and part-worth utilities of attribute levels, and simulated the uptake of an optimized testing scenario relative to the current typical testing scenario of polymerase chain reaction (PCR) via nasopharyngeal swab in a provider’s office or urgent care clinic with results in >5 days. Results Test result turnaround time had the highest relative importance (30.4%), followed by test type (28.3%), specimen type (26.2%), and venue (15.0%). In simulations, immediate or same-day test results, both PCR and serology, or oral specimens substantially increased testing uptake over the current typical testing option. Simulated uptake of a hypothetical testing scenario of PCR and serology via a saliva sample at a pharmacy with same-day results was 97.7%, compared to 0.6% for the current typical testing scenario, with 1.8% opting for no test. Conclusions Testing strategies that offer both PCR and serology with noninvasive methods and rapid turnaround time would likely have the most uptake and engagement among residents in communities with increasing community transmission of SARS-CoV-2.

scholarly journals SARS-CoV-2 Testing Service Preferences of Adults in the United States: Discrete Choice Experiment (Preprint)

2020 ◽  
Author(s):  
Rebecca Zimba ◽  
Sarah Kulkarni ◽  
Amanda Berry ◽  
William You ◽  
Chloe Mirzayi ◽  
...  
Keyword(s):  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Turnaround Time ◽  
Urgent Care ◽  
Relative Importance ◽  
Test Type ◽  
Specimen Type ◽  
Testing Uptake ◽  
Community Transmission

BACKGROUND Ascertaining preferences for SARS-CoV-2 testing and incorporating findings into the design and implementation of strategies for delivering testing services may enhance testing uptake and engagement, a prerequisite to reducing onward transmission. OBJECTIVE This study aims to determine important drivers of decisions to obtain a SARS-CoV-2 test in the context of increasing community transmission. METHODS We used a discrete choice experiment to assess preferences for SARS-CoV-2 test type, specimen type, testing venue, and results turnaround time. Participants (n=4793) from the US national longitudinal Communities, Households and SARS-CoV-2 Epidemiology (CHASING) COVID Cohort Study completed our online survey from July 30 to September 8, 2020. We estimated the relative importance of testing method attributes and part-worth utilities of attribute levels, and simulated the uptake of an optimized testing scenario relative to the current typical testing scenario of polymerase chain reaction (PCR) via nasopharyngeal swab in a provider’s office or urgent care clinic with results in >5 days. RESULTS Test result turnaround time had the highest relative importance (30.4%), followed by test type (28.3%), specimen type (26.2%), and venue (15.0%). In simulations, immediate or same-day test results, both PCR and serology, or oral specimens substantially increased testing uptake over the current typical testing option. Simulated uptake of a hypothetical testing scenario of PCR and serology via a saliva sample at a pharmacy with same-day results was 97.7%, compared to 0.6% for the current typical testing scenario, with 1.8% opting for no test. CONCLUSIONS Testing strategies that offer both PCR and serology with noninvasive methods and rapid turnaround time would likely have the most uptake and engagement among residents in communities with increasing community transmission of SARS-CoV-2.

scholarly journals Patterns of SARS-CoV-2 testing preferences in a national cohort in the United States

2020 ◽  
Author(s):  
Matthew L. Romo ◽  
Rebecca Zimba ◽  
Sarah Kulkarni ◽  
Amanda Berry ◽  
William You ◽  
...  
Keyword(s):  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Turnaround Time ◽  
Specimen Type ◽  
Home Testing ◽  
Additional Testing ◽  
Testing Uptake ◽  
National Cohort ◽  
Antibody Tests

ABSTRACTIn order to understand preferences about SARS-CoV-2 testing, we conducted a discrete choice experiment among 4793 participants in the Communities, Households, and SARS-CoV-2 Epidemiology (CHASING COVID) Cohort Study from July 30-September 8, 2020. We used latent class analysis to identify distinct patterns of preferences related to testing and conducted a simulation to predict testing uptake if additional testing scenarios were offered. Five distinct patterns of SARS-CoV-2 testing emerged. “Comprehensive testers” (18.9%) ranked specimen type as most important and favored less invasive specimen types, with saliva most preferred, and also ranked venue and result turnaround time as highly important, with preferences for home testing and fast result turnaround time. “Fast track testers” (26.0%) ranked result turnaround time as most important and favored immediate and same day turnaround time. “Dual testers” (18.5%) ranked test type as most important and preferred both antibody and viral tests. “Non-invasive dual testers” (33.0%) ranked specimen type and test type as similarly most important, preferring cheek swab specimen type and both antibody and viral tests. “Home testers” (3.6%) ranked venue as most important and favored home-based testing. By offering less invasive (saliva specimen type), dual testing (both viral and antibody tests), and at home testing scenarios in addition to standard testing scenarios, simulation models predicted that testing uptake would increase from 81.7% to 98.1%. We identified substantial differences in preferences for SARS-CoV-2 testing and found that offering additional testing options, which consider this heterogeneity, would likely increase testing uptake.SIGNIFICANCEDuring the COVID-19 pandemic, diagnostic testing has allowed for early detection of cases and implementation of measures to reduce community transmission of SARS-CoV-2 infection. Understanding individuals’ preferences about testing and the service models that deliver tests are relevant in efforts to increase and sustain uptake of SARS-CoV-2 testing, which, despite vaccine availability, will be required for the foreseeable future. We identified substantial differences in preferences for SARS-CoV-2 testing in a discrete choice experiment among a large national cohort of adults in the US. Offering additional testing options that account for or anticipate this heterogeneity in preferences (e.g., both viral and antibody tests, at home testing), would likely increase testing uptake.ClassificationBiological Sciences (major); Psychological and Cognitive Sciences (minor)

scholarly journals Testing, Testing: What SARS-CoV-2 testing services do adults in the United States actually want?

2020 ◽  
Author(s):  
Rebecca Zimba ◽  
Sarah Kulkarni ◽  
Amanda Berry ◽  
William You ◽  
Chloe Mirzayi ◽  
...  
Keyword(s):  
Cohort Study ◽  
The United States ◽  
Turnaround Time ◽  
Urgent Care ◽  
Relative Importance ◽  
Test Results ◽  
Care Clinic ◽  
Specimen Type ◽  
Testing Uptake ◽  
Community Transmission

Importance: Ascertaining preferences for SARS-CoV-2 testing and incorporating findings into the design and implementation of strategies for delivering testing services may enhance testing uptake and engagement, a prerequisite to reducing onward transmission. Objective: To determine important drivers of decisions to obtain a SARS-CoV-2 test in the context of increasing community transmission. Design: A discrete choice experiment (DCE) was used to assess the relative importance of type of SARS-CoV-2 test, specimen type, testing venue, and results turnaround time. Uptake of an optimized testing scenario was simulated relative to the current typical testing scenario of polymerase chain reaction (PCR) via nasopharyngeal (NP) swab in a provider office or urgent care clinic with results in >5 days. Setting:​ Online survey, embedded in an existing cohort study, conducted during July 30 - September 8, 2020. Participants: ​Participants (n=4,793) were enrolled in the CHASING COVID Cohort Study, a national longitudinal cohort of adults >18 years residing in the 50 US states, Washington, DC, Puerto Rico, or Guam. Main Outcome(s) and Measure(s): Relative importance of SARS-CoV-2 testing method attributes, utilities of specific attribute levels, and probability of choosing a testing scenario based on preferences estimated from the DCE, the current typical testing option, or choosing not to test. Results: ​Turnaround time for test results had the highest relative importance (30.4%), followed by test type (28.3%), specimen type (26.2%), and venue (15.0%). Participants preferred fast results on both past and current infection and using a noninvasive specimen, preferably collected at home. Simulations suggested that providing immediate or same day test results, providing both PCR and serology, or collecting oral specimens would substantially increase testing uptake over the current typical testing option. Simulated uptake of a hypothetical testing scenario of PCR and serology via a saliva sample at a pharmacy with same day results was 97.7%, compared to 0.6% for the current typical testing scenario, with 1.8% opting for no test. Conclusions and Relevance: ​Testing strategies that offer both PCR and serology with non-invasive methods and rapid turnaround time would likely have the most uptake and engagement among residents in communities with increasing community transmission of SARS-CoV-2.

scholarly journals Patterns of SARS-CoV-2 Testing Preferences in a National Cohort in the United States: Latent Class Analysis of a Discrete Choice Experiment (Preprint)

2021 ◽  
Author(s):  
Rebecca Zimba ◽  
Matthew L Romo ◽  
Sarah G Kulkarni ◽  
Amanda Berry ◽  
William You ◽  
...  
Keyword(s):  
Choice Experiment ◽  
Latent Class ◽  
Diagnostic Testing ◽  
The United States ◽  
Turnaround Time ◽  
Test Type ◽  
Specimen Type ◽  
Opt Out ◽  
Additional Testing ◽  
Testing Uptake

BACKGROUND Inadequate screening and diagnostic testing in the United States throughout the first several months of the COVID-19 pandemic led to undetected cases transmitting disease in the community and an underestimation of cases. Though testing supply has increased, maintaining testing uptake remains a public health priority in the efforts to control community transmission considering the availability of vaccinations and threats from variants. OBJECTIVE This study aimed to identify patterns of preferences for SARS-CoV-2 screening and diagnostic testing prior to widespread vaccine availability and uptake. METHODS We conducted a discrete choice experiment (DCE) among participants in the national, prospective CHASING COVID (Communities, Households, and SARS-CoV-2 Epidemiology) Cohort Study from July 30 to September 8, 2020. The DCE elicited preferences for SARS-CoV-2 test type, specimen type, testing venue, and result turnaround time. We used latent class multinomial logit to identify distinct patterns of preferences related to testing as measured by attribute-level part-worth utilities and conducted a simulation based on the utility estimates to predict testing uptake if additional testing scenarios were offered. RESULTS Of the 5098 invited cohort participants, 4793 (94.0%) completed the DCE. Five distinct patterns of SARS-CoV-2 testing emerged. Noninvasive home testers (n=920, 19.2% of participants) were most influenced by specimen type and favored less invasive specimen collection methods, with saliva being most preferred; this group was the least likely to opt out of testing. Fast-track testers (n=1235, 25.8%) were most influenced by result turnaround time and favored immediate and same-day turnaround time. Among dual testers (n=889, 18.5%), test type was the most important attribute, and preference was given to both antibody and viral tests. Noninvasive dual testers (n=1578, 32.9%) were most strongly influenced by specimen type and test type, preferring saliva and cheek swab specimens and both antibody and viral tests. Among hesitant home testers (n=171, 3.6%), the venue was the most important attribute; notably, this group was the most likely to opt out of testing. In addition to variability in preferences for testing features, heterogeneity was observed in the distribution of certain demographic characteristics (age, race/ethnicity, education, and employment), history of SARS-CoV-2 testing, COVID-19 diagnosis, and concern about the pandemic. Simulation models predicted that testing uptake would increase from 81.6% (with a status quo scenario of polymerase chain reaction by nasal swab in a provider’s office and a turnaround time of several days) to 98.1% by offering additional scenarios using less invasive specimens, both viral and antibody tests from a single specimen, faster turnaround time, and at-home testing. CONCLUSIONS We identified substantial differences in preferences for SARS-CoV-2 testing and found that offering additional testing options would likely increase testing uptake in line with public health goals. Additional studies may be warranted to understand if preferences for testing have changed since the availability and widespread uptake of vaccines.

scholarly journals Discrete choice experiment for eliciting preference for health services for patients with ALS and their informal caregivers

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Katy Tobin ◽  
Sinead Maguire ◽  
Bernie Corr ◽  
Charles Normand ◽  
Orla Hardiman ◽  
...  
Keyword(s):  
Health Services ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Strong Preference ◽  
Multidisciplinary Teams ◽  
Relative Importance ◽  
Trade Offs ◽  
Als Patients ◽  
The Impact

Abstract Background Amyotrophic Lateral Sclerosis (ALS) is a progressive neurodegenerative condition with a mean life expectancy of 3 years from first symptom. Understanding the factors that are important to both patients and their caregivers has the potential to enhance service delivery and engagement, and improve efficiency. The Discrete Choice Experiment (DCE) is a stated preferences method which asks service users to make trade-offs for various attributes of health services. This method is used to quantify preferences and shows the relative importance of the attributes in the experiment, to the service user. Methods A DCE with nine choice sets was developed to measure the preferences for health services of ALS patients and their caregivers and the relative importance of various aspects of care, such as timing of care, availability of services, and decision making. The DCE was presented to patients with ALS, and their caregivers, recruited from a national multidisciplinary clinic. A random effects probit model was applied to estimate the impact of each attribute on a participant’s choice. Results Patients demonstrated the strongest preferences about timing of receiving information about ALS. A strong preference was also placed on seeing the hospice care team later rather than early on in the illness. Patients also indicated their willingness to consider the use of communication devices. Grouping by stage of disease, patients who were in earlier stages of disease showed a strong preference for receipt of extensive information about ALS at the time of diagnosis. Caregivers showed a strong preference for engagement with healthcare professionals, an attribute that was not prioritised by patients. Conclusions The DCE method can be useful in uncovering priorities of patients and caregivers with ALS. Patients and caregivers have different priorities relating to health services and the provision of care in ALS, and patient preferences differ based on the stage and duration of their illness. Multidisciplinary teams must calibrate the delivery of care in the context of the differing expectations, needs and priorities of the patient/caregiver dyad.

What matters most to patients when choosing treatment for mild–moderate asthma? Results from a discrete choice experiment

Thorax ◽  
2020 ◽  
Vol 75 (10) ◽  
pp. 842-848
Author(s):  
Christina Baggott ◽  
Paul Hansen ◽  
Robert J Hancox ◽  
Jo Katherine Hardy ◽  
Jenny Sparks ◽  
...  
Keyword(s):  
Treatment Regimen ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Controlled Trial ◽  
Final Analysis ◽  
Mild Asthma ◽  
Relative Importance ◽  
Shortness Of Breath ◽  
Moderate Asthma

BackgroundAn as-needed combination preventer and reliever regimen was recently introduced as an alternative to conventional daily preventer treatment for mild asthma. In a subgroup analysis of the PRACTICAL study, a pragmatic randomised controlled trial of budesonide–formoterol reliever therapy versus maintenance budesonide plus terbutaline reliever therapy in adults with mild asthma, we recently reported that about two-thirds preferred as-needed combination preventer and reliever therapy. The aim of this study was to determine the relative importance of attributes associated with these two asthma therapies in this subgroup of participants who indicated their preferred treatment in the PRACTICAL study.MethodsAt their final study visit, a subgroup of participants indicated their preferred treatment and completed a discrete choice experiment using the Potentially All Pairwise RanKings of all possible Alternatives method and 1000minds software. Treatment attributes and their levels were selected from measurable study outcomes, and included: treatment regimen, shortness of breath, steroid dose and likelihood of asthma flare-up.ResultsThe final analysis dataset included 288 participants, 64% of whom preferred as-needed combination preventer and reliever. Of the attributes, no shortness of breath and lowest risk of asthma flare-up were ranked highest and second highest, respectively. However, the relative importance of the other two attributes varied by preferred therapy: treatment regimen was ranked higher by participants who preferred as-needed treatment than by participants who preferred maintenance treatment.ConclusionsKnowledge of patient preferences for treatment attributes together with regimen characteristics can be used in shared decision-making regarding choice of treatment for patients with mild–moderate asthma.Trial registration numberACTRN12616000377437.

scholarly journals The policy-seeking voter: evaluations of government performance beyond the economy

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Niels Markwat
Keyword(s):  
Public Opinion ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Choice Experiment ◽  
Value Congruence ◽  
Government Performance ◽  
Relative Importance ◽  
Retrospective Voting ◽  
Individual Preferences ◽  
Promising Development

AbstractVoters hold governments to account through elections, but which criteria are most important to voter evaluations of incumbent performance? While (economic) outcomes have long been central to studies of retrospective voting, recent studies have considered the influence of policy output—the policies implemented by incumbents to achieve their goals. Building on this promising development, this study identifies three ways in which policy output is expected to affect voter evaluations of incumbent performance—the congruence between implemented policy and (1) individual preferences; (2) public opinion; and (3) election pledges. A discrete choice experiment was designed to assess the relative importance of these three aspects of policy output in comparison to each other; as well as to two important economic indicators. Overall, the findings support the notion that policy output matters to voters even beyond outcomes. The findings also show that voters value congruence between policy and their personal preferences considerably more than policy congruence with public opinion; and election pledge fulfillment. This indicates that voters are egotropic in their evaluation of implemented policy, and more policy-seeking than accounted for in much of the empirical retrospective voting literature. These results inform our understanding of how policy output matters to voters, as well as of how voters hold governments accountable for their performance.

scholarly journals Public Preferences regarding Data Linkage for Health Research: A Discrete Choice Experiment

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Mhairi Aitken ◽  
Gareth McAteer ◽  
Sara Davidson ◽  
Clive Frostick ◽  
Sarah Cunningham-Burley
Keyword(s):  
Data Sharing ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Public Engagement ◽  
Health Research ◽  
Choice Experiment ◽  
Data Linkage ◽  
Public Support ◽  
Influential Factors ◽  
Relative Importance

The potential for data collected in the public and private sector to be linked and used in research has led to increasing interest in public acceptability of data sharing and data linkage. The literature has identified a range of factors that are important for shaping public responses and in particular has noted that public support for research conducted through data linkage or data sharing is contingent on a number of conditions being met. In order to examine the relative importance of these conditions a Discrete Choice Experiment (DCE) was conducted via an online questionnaire among members of Ipsos MORI’s online panel in Scotland. The survey was completed by 1,004 respondents. Overall the two most influential factors shaping respondents’ preferences are: the type of data being linked; and, how profits are managed and shared. The type of data being linked is roughly twice as important as who the researchers are. There were slight differences across age groups and between genders and slight differences when comparing respondents with and without long term health conditions. The most notable differences between respondents were found when comparing respondents according to employment and working sector. This study provides much needed evidence regarding the relative importance of various conditions which may be essential for securing and sustaining public support for data-linkage in health research. This may be useful for indicating which factors to focus on in future public engagement and has important implications for the design and delivery of research and public engagement activities. The continuously evolving nature of the field means it will be necessary to revisit the key conditions for public support on an ongoing basis and to examine the contexts and circumstances in which these might change. .

scholarly journals Patient Preferences for Attributes of Chemotherapy for Lung Cancer: Discrete Choice Experiment Study in Japan

2021 ◽  
Vol 12 ◽  
Author(s):  
Yasuo Sugitani ◽  
Kyoko Ito ◽  
Shunsuke Ono
Keyword(s):  
Lung Cancer ◽  
Adverse Events ◽  
Cancer Patients ◽  
Discrete Choice Experiment ◽  
Discrete Choice ◽  
Patient Preferences ◽  
Logit Model ◽  
Choice Experiment ◽  
Relative Importance ◽  
Lung Cancer Patients

Our study objective was to determine lung cancer chemotherapy attributes that are important to patients in Japan. A discrete choice experiment survey in an anonymous web-based questionnaire format with a reward was completed by 200 lung cancer patients in Japan from November 25, 2019, to November 27, 2019. The relative importance of patient preferences for each attribute was estimated using a conditional logit model. A hierarchical Bayesian logit model was also used to estimate the impact of each demographic characteristic on the relative importance of each attribute. Of the 200 respondents, 191 with consistent responses were included in the analysis. In their preference, overall survival was the most important, followed by diarrhea, nausea, rash, bone marrow suppression (BMS), progression-free survival, fatigue, interstitial lung disease, frequency of administration, and duration of administration. The preferences were influenced by demographic characteristics (e.g., gender and age) and disease background (e.g., cancer type and stage). Interestingly, the experience of cancer drug therapies and adverse events had a substantial impact on the hypothetical drug preferences. For the Japanese lung cancer patients, improved survival was the most important attribute that influenced their preference for chemotherapy, followed by adverse events, including diarrhea, nausea, rash, and BMS. The preferences varied depending on the patient’s demographic and experience. As drug attributes can affect patient preferences, pharmaceutical companies should be aware of the patient preferences and develop drugs that respond to segmented market needs.

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