Yeonsoo Baik , Cedric H. Bien-Gund , Gregory P. Bisson , Robert Gross , Jessica Fishman
{"title":"有些人喜欢付费吗?识别对免费 COVID-19 检测的偏见","authors":"Yeonsoo Baik , Cedric H. Bien-Gund , Gregory P. Bisson , Robert Gross , Jessica Fishman","doi":"10.1016/j.puhip.2024.100483","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><p>In the United States, a federal emergency program has made SARS-CoV-2 self-test kits available at no cost. It is unclear how widely free tests are preferred. We conducted a survey to estimate the proportion of respondents who do not prefer a free test. We hypothesized that free tests would not be preferred universally, and that a preference for paying would be more common among those with conservative politics than with liberal politics, regardless of income.</p></div><div><h3>Design</h3><p>Observational study design.</p></div><div><h3>Methods</h3><p>A national sample of US adults completed an online survey. To reduce potential enrollment bias, the survey’s focus was not specified beforehand. To prioritize a high-risk group, participation was limited to those who were unvaccinated or were incompletely vaccinated in the primary series against COVID-19. Participants reported their testing preferences and socio-demographic characteristics, including political affiliation. The main outcome assessed if a participant preferred to pay for a self-test or receive a free one (subsidized by the US government).</p></div><div><h3>Results</h3><p>Among 1215 participants, (73%, n = 886) preferred free self-testing, while 27% (n = 329) preferred to pay for the same testing. After adjusting for income, the odds of preferring to pay for self-testing were 66% higher in “strong” Republicans compared to “strong” Democrats (odds ratio = 1.66, 95% confidence interval = 1.07–2.62).</p></div><div><h3>Conclusions</h3><p>More than a quarter of individuals preferred paying for these tests. This preference was more likely among those with right-wing politics. Policy implications are discussed, along with future research directions.</p></div>","PeriodicalId":34141,"journal":{"name":"Public Health in Practice","volume":"7 ","pages":"Article 100483"},"PeriodicalIF":2.2000,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266653522400020X/pdfft?md5=7ac9909a7bc5e599c6f2412ace47c16e&pid=1-s2.0-S266653522400020X-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Do some prefer to pay? Identifying bias against free COVID-19 tests\",\"authors\":\"Yeonsoo Baik , Cedric H. Bien-Gund , Gregory P. Bisson , Robert Gross , Jessica Fishman\",\"doi\":\"10.1016/j.puhip.2024.100483\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objectives</h3><p>In the United States, a federal emergency program has made SARS-CoV-2 self-test kits available at no cost. It is unclear how widely free tests are preferred. We conducted a survey to estimate the proportion of respondents who do not prefer a free test. We hypothesized that free tests would not be preferred universally, and that a preference for paying would be more common among those with conservative politics than with liberal politics, regardless of income.</p></div><div><h3>Design</h3><p>Observational study design.</p></div><div><h3>Methods</h3><p>A national sample of US adults completed an online survey. To reduce potential enrollment bias, the survey’s focus was not specified beforehand. To prioritize a high-risk group, participation was limited to those who were unvaccinated or were incompletely vaccinated in the primary series against COVID-19. Participants reported their testing preferences and socio-demographic characteristics, including political affiliation. The main outcome assessed if a participant preferred to pay for a self-test or receive a free one (subsidized by the US government).</p></div><div><h3>Results</h3><p>Among 1215 participants, (73%, n = 886) preferred free self-testing, while 27% (n = 329) preferred to pay for the same testing. After adjusting for income, the odds of preferring to pay for self-testing were 66% higher in “strong” Republicans compared to “strong” Democrats (odds ratio = 1.66, 95% confidence interval = 1.07–2.62).</p></div><div><h3>Conclusions</h3><p>More than a quarter of individuals preferred paying for these tests. This preference was more likely among those with right-wing politics. 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Do some prefer to pay? Identifying bias against free COVID-19 tests
Objectives
In the United States, a federal emergency program has made SARS-CoV-2 self-test kits available at no cost. It is unclear how widely free tests are preferred. We conducted a survey to estimate the proportion of respondents who do not prefer a free test. We hypothesized that free tests would not be preferred universally, and that a preference for paying would be more common among those with conservative politics than with liberal politics, regardless of income.
Design
Observational study design.
Methods
A national sample of US adults completed an online survey. To reduce potential enrollment bias, the survey’s focus was not specified beforehand. To prioritize a high-risk group, participation was limited to those who were unvaccinated or were incompletely vaccinated in the primary series against COVID-19. Participants reported their testing preferences and socio-demographic characteristics, including political affiliation. The main outcome assessed if a participant preferred to pay for a self-test or receive a free one (subsidized by the US government).
Results
Among 1215 participants, (73%, n = 886) preferred free self-testing, while 27% (n = 329) preferred to pay for the same testing. After adjusting for income, the odds of preferring to pay for self-testing were 66% higher in “strong” Republicans compared to “strong” Democrats (odds ratio = 1.66, 95% confidence interval = 1.07–2.62).
Conclusions
More than a quarter of individuals preferred paying for these tests. This preference was more likely among those with right-wing politics. Policy implications are discussed, along with future research directions.