{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T10:04:07Z","timestamp":1790762647340,"version":"4.1.0"},"reference-count":49,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T00:00:00Z","timestamp":1786060800000},"content-version":"vor","delay-in-days":6,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["iaap-journals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Applied Psych Health &amp;amp; Well"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Antimicrobial resistance is partly driven by overprescribing antibiotics in primary care. Delayed antibiotic prescriptions, which allow patients to monitor their symptoms before deciding to use antibiotics, are a promising intervention. However, this strategy is undermined when patients initiate antibiotic use immediately. Using a behavioural game measure with behaviour\u2010contingent financial incentives that models delayed prescriptions, we examined whether a decision support leaflet issued by the World Health Organization can, alone or in combination with other evidence\u2010based interventions, reduce inappropriate antibiotic use for viral infections. In a pre\u2010registered online experiment (\n                    <jats:italic>N<\/jats:italic>\n                    \u2009=\u2009663 UK adults), participants were randomly assigned to one of five experimental conditions: (i) control condition, (ii) leaflet only, (iii) leaflet with value integration task, (iv) leaflet with active symptom monitoring and (v) leaflet with value integration and active monitoring. Inappropriate antibiotic use was lower in all decision support conditions than in the control condition (\n                    <jats:italic>p<\/jats:italic>\n                    \u00a0&lt;\u2009.001,\n                    <jats:italic>\u03b7<\/jats:italic>\n                    <jats:sub>\n                      <jats:italic>G<\/jats:italic>\n                    <\/jats:sub>\n                    <jats:sup>2<\/jats:sup>\n                    \u2009=\u2009.02). Decision support tools also reduced decisional conflict (\n                    <jats:italic>p<\/jats:italic>\n                    \u00a0&lt;\u2009.001,\n                    <jats:italic>\u03b7<\/jats:italic>\n                    <jats:sub>\n                      <jats:italic>G<\/jats:italic>\n                    <\/jats:sub>\n                    <jats:sup>2<\/jats:sup>\n                    \u2009=\u2009.02), particularly by improving value clarity and perceived decisional support. Integrating decision support tools into delayed prescription procedures can contribute to a more informed and responsible approach to antibiotic use by providing relevant information and tools.\n                  <\/jats:p>","DOI":"10.1111\/aphw.70198","type":"journal-article","created":{"date-parts":[[2026,8,8]],"date-time":"2026-08-08T04:30:54Z","timestamp":1786163454000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Using a decision support tool to reduce inappropriate antibiotic use after a delayed prescription"],"prefix":"10.1111","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7187-8927","authenticated-orcid":false,"given":"Elisabeth D. 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