10
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Behavioural nudges increase COVID-19 vaccinations

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Enhancing vaccine uptake is a critical public health challenge 1 . Overcoming vaccine hesitancy 2, 3 and failure to follow through on vaccination intentions 3 requires effective communication strategies 3, 4 . Here we present two sequential randomized controlled trials to test the effect of behavioural interventions on the uptake of COVID-19 vaccines. We designed text-based reminders that make vaccination salient and easy, and delivered them to participants drawn from a healthcare system one day (first randomized controlled trial) ( n = 93,354 participants; clinicaltrials number NCT04800965) and eight days (second randomized controlled trial) ( n = 67,092 individuals; clinicaltrials number NCT04801524) after they received a notification of vaccine eligibility. The first reminder boosted appointment and vaccination rates within the healthcare system by 6.07 (84%) and 3.57 (26%) percentage points, respectively; the second reminder increased those outcomes by 1.65 and 1.06 percentage points, respectively. The first reminder had a greater effect when it was designed to make participants feel ownership of the vaccine dose. However, we found no evidence that combining the first reminder with a video-based information intervention designed to address vaccine hesitancy heightened its effect. We performed online studies ( n = 3,181 participants) to examine vaccination intentions, which revealed patterns that diverged from those of the first randomized controlled trial; this underscores the importance of pilot-testing interventions in the field. Our findings inform the design of behavioural nudges for promoting health decisions 5 , and highlight the value of making vaccination easy and inducing feelings of ownership over vaccines.

          Abstract

          Two randomized controlled trials demonstrate the ability of text-based behavioural ‘nudges’ to improve the uptake of COVID-19 vaccines, especially when designed to make participants feel ownership over their vaccine dose.

          Related collections

          Most cited references36

          • Record: found
          • Abstract: found
          • Article: not found
          Is Open Access

          Vaccine hesitancy: Definition, scope and determinants.

          The SAGE Working Group on Vaccine Hesitancy concluded that vaccine hesitancy refers to delay in acceptance or refusal of vaccination despite availability of vaccination services. Vaccine hesitancy is complex and context specific, varying across time, place and vaccines. It is influenced by factors such as complacency, convenience and confidence. The Working Group retained the term 'vaccine' rather than 'vaccination' hesitancy, although the latter more correctly implies the broader range of immunization concerns, as vaccine hesitancy is the more commonly used term. While high levels of hesitancy lead to low vaccine demand, low levels of hesitancy do not necessarily mean high vaccine demand. The Vaccine Hesitancy Determinants Matrix displays the factors influencing the behavioral decision to accept, delay or reject some or all vaccines under three categories: contextual, individual and group, and vaccine/vaccination-specific influences.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            A global survey of potential acceptance of a COVID-19 vaccine

            Several coronavirus disease 2019 (COVID-19) vaccines are currently in human trials. In June 2020, we surveyed 13,426 people in 19 countries to determine potential acceptance rates and factors influencing acceptance of a COVID-19 vaccine. Of these, 71.5% of participants reported that they would be very or somewhat likely to take a COVID-19 vaccine, and 61.4% reported that they would accept their employer’s recommendation to do so. Differences in acceptance rates ranged from almost 90% (in China) to less than 55% (in Russia). Respondents reporting higher levels of trust in information from government sources were more likely to accept a vaccine and take their employer’s advice to do so.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Hospitalization and Mortality among Black Patients and White Patients with Covid-19

              Abstract Background Many reports on coronavirus disease 2019 (Covid-19) have highlighted age- and sex-related differences in health outcomes. More information is needed about racial and ethnic differences in outcomes from Covid-19. Methods In this retrospective cohort study, we analyzed data from patients seen within an integrated-delivery health system (Ochsner Health) in Louisiana between March 1 and April 11, 2020, who tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, the virus that causes Covid-19) on qualitative polymerase-chain-reaction assay. The Ochsner Health population is 31% black non-Hispanic and 65% white non-Hispanic. The primary outcomes were hospitalization and in-hospital death. Results A total of 3626 patients tested positive, of whom 145 were excluded (84 had missing data on race or ethnic group, 9 were Hispanic, and 52 were Asian or of another race or ethnic group). Of the 3481 Covid-19–positive patients included in our analyses, 60.0% were female, 70.4% were black non-Hispanic, and 29.6% were white non-Hispanic. Black patients had higher prevalences of obesity, diabetes, hypertension, and chronic kidney disease than white patients. A total of 39.7% of Covid-19–positive patients (1382 patients) were hospitalized, 76.9% of whom were black. In multivariable analyses, black race, increasing age, a higher score on the Charlson Comorbidity Index (indicating a greater burden of illness), public insurance (Medicare or Medicaid), residence in a low-income area, and obesity were associated with increased odds of hospital admission. Among the 326 patients who died from Covid-19, 70.6% were black. In adjusted time-to-event analyses, variables that were associated with higher in-hospital mortality were increasing age and presentation with an elevated respiratory rate; elevated levels of venous lactate, creatinine, or procalcitonin; or low platelet or lymphocyte counts. However, black race was not independently associated with higher mortality (hazard ratio for death vs. white race, 0.89; 95% confidence interval, 0.68 to 1.17). Conclusions In a large cohort in Louisiana, 76.9% of the patients who were hospitalized with Covid-19 and 70.6% of those who died were black, whereas blacks comprise only 31% of the Ochsner Health population. Black race was not associated with higher in-hospital mortality than white race, after adjustment for differences in sociodemographic and clinical characteristics on admission.
                Bookmark

                Author and article information

                Contributors
                dcroymans@mednet.ucla.edu
                Journal
                Nature
                Nature
                Nature
                Nature Publishing Group UK (London )
                0028-0836
                1476-4687
                2 August 2021
                2 August 2021
                2021
                : 597
                : 7876
                : 404-409
                Affiliations
                [1 ]GRID grid.19006.3e, ISNI 0000 0000 9632 6718, Anderson School of Management, , University of California, Los Angeles, ; Los Angeles, CA USA
                [2 ]GRID grid.147455.6, ISNI 0000 0001 2097 0344, Department of Social and Decision Sciences, , Carnegie Mellon University, ; Pittsburgh, PA USA
                [3 ]GRID grid.19006.3e, ISNI 0000 0000 9632 6718, Department of Medicine, David Geffen School of Medicine, , University of California, Los Angeles, ; Los Angeles, CA USA
                [4 ]GRID grid.19006.3e, ISNI 0000 0000 9632 6718, Office of Population Health and Accountable Care, , University of California, Los Angeles, ; Los Angeles, CA USA
                [5 ]GRID grid.19006.3e, ISNI 0000 0000 9632 6718, Department of Medicine Statistics Core, David Geffen School of Medicine, , University of California, Los Angeles, ; Los Angeles, CA USA
                [6 ]GRID grid.19006.3e, ISNI 0000 0000 9632 6718, Office of Health Informatics and Analytics, , University of California, Los Angeles, ; Los Angeles, CA USA
                [7 ]GRID grid.417816.d, ISNI 0000 0004 0392 6765, Department of Information Services and Solutions, , UCLA Health System, ; Los Angeles, CA USA
                Author information
                http://orcid.org/0000-0001-7640-6558
                http://orcid.org/0000-0001-9805-8048
                Article
                3843
                10.1038/s41586-021-03843-2
                8443442
                34340242
                d93c5556-76f7-41b9-a4b8-df390dbb2f1a
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 1 April 2021
                : 21 July 2021
                Categories
                Article
                Custom metadata
                © The Author(s), under exclusive licence to Springer Nature Limited 2021

                Uncategorized
                decision making,human behaviour
                Uncategorized
                decision making, human behaviour

                Comments

                Comment on this article