{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T16:53:29Z","timestamp":1786467209219,"version":"build-2736575974"},"reference-count":39,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2021,6,17]],"date-time":"2021-06-17T00:00:00Z","timestamp":1623888000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"Shire Development LLC, Lexington, MA, a member of the Takeda group of companies"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["J Atten Disord"],"published-print":{"date-parts":[[2022,4]]},"abstract":"<jats:sec>\n                    <jats:title>Objective:<\/jats:title>\n                    <jats:p>Examine associations between oral psychostimulant pharmacotherapy adherence, work productivity, and related indirect costs among US adults with ADHD.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>Medication adherence (Medication Adherence Reasons Scale [MAR-Scale]), work productivity and activity impairment (Work Productivity and Activity Impairment\u2013General Health questionnaire), and ADHD symptom level (Adult ADHD Self-Report Scale version 1.1 Symptom Checklist) were assessed in this noninterventional online survey of adults who self-reported having an ADHD diagnosis and were currently receiving oral psychostimulant treatment for \u22653\u2009months.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>Of 602 respondents, 395 had low\/medium adherence (LMA: MAR-Scale total score \u22651) and 207 had high adherence (HA: MAR-Scale total score 0). After adjusting for covariates, the LMA group had significantly greater levels of absenteeism, absenteeism-related indirect costs, and total indirect costs (all p\u2009&lt;\u2009.01) than the HA group.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>In adults with ADHD using oral psychostimulants, lower medication adherence was associated with greater absenteeism and indirect costs.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/10870547211020113","type":"journal-article","created":{"date-parts":[[2021,6,17]],"date-time":"2021-06-17T05:26:52Z","timestamp":1623907612000},"page":"831-842","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["The Association of Oral Stimulant Medication Adherence with Work Productivity among Adults with ADHD"],"prefix":"10.1177","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2950-2931","authenticated-orcid":false,"given":"William","family":"Spalding","sequence":"first","affiliation":[{"name":"Shire, A Member of the Takeda Group of Companies, Lexington, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8479-2775","authenticated-orcid":false,"given":"Sepehr","family":"Farahbakhshian","sequence":"additional","affiliation":[{"name":"Shire, A Member of the Takeda Group of Companies, Lexington, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martine C.","family":"Maculaitis","sequence":"additional","affiliation":[{"name":"Kantar, New York, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eugenia Y.","family":"Peck","sequence":"additional","affiliation":[{"name":"Kantar, New York, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amir","family":"Goren","sequence":"additional","affiliation":[{"name":"Kantar, New York, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2021,6,17]]},"reference":[{"key":"bibr1-10870547211020113","doi-asserted-by":"publisher","DOI":"10.1186\/1471-244X-13-253"},{"key":"bibr2-10870547211020113","doi-asserted-by":"publisher","DOI":"10.1111\/ijcp.13260"},{"key":"bibr3-10870547211020113","volume-title":"Diagnostic and statistical manual of mental disorders","author":"American Psychiatric Association","year":"1994","edition":"4"},{"key":"bibr4-10870547211020113","doi-asserted-by":"publisher","DOI":"10.1176\/appi.books.9780890425596"},{"key":"bibr5-10870547211020113","doi-asserted-by":"publisher","DOI":"10.1097\/JCP.0000000000001055"},{"key":"bibr6-10870547211020113","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsat.2014.11.005"},{"key":"bibr7-10870547211020113","doi-asserted-by":"publisher","DOI":"10.1097\/JCP.0000000000000787"},{"key":"bibr8-10870547211020113","doi-asserted-by":"publisher","DOI":"10.1185\/030079904X20303"},{"key":"bibr9-10870547211020113","unstructured":"Bureau of Labor Statistics. 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