{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T20:20:53Z","timestamp":1791663653796,"version":"4.3.4"},"reference-count":53,"publisher":"SAGE Publications","issue":"9","license":[{"start":{"date-parts":[[2023,6,28]],"date-time":"2023-06-28T00:00:00Z","timestamp":1687910400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/100000066","name":"National Institute of Environmental Health Sciences","doi-asserted-by":"publisher","award":["P30ES017885"],"award-info":[{"award-number":["P30ES017885"]}],"id":[{"id":"10.13039\/100000066","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000097","name":"National Center for Research Resources","doi-asserted-by":"publisher","award":["UL1TR002240"],"award-info":[{"award-number":["UL1TR002240"]}],"id":[{"id":"10.13039\/100000097","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000130","name":"National Center for Chronic Disease Prevention and Health Promotion","doi-asserted-by":"publisher","award":["U01DP006489"],"award-info":[{"award-number":["U01DP006489"]}],"id":[{"id":"10.13039\/100000130","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Lupus"],"published-print":{"date-parts":[[2023,8]]},"abstract":"<jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>Medication access and adherence play key roles in determining patient outcomes. We investigated whether cost-related non-adherence (CRNA) to prescription medications was associated with worse patient-reported outcomes in a population-based systemic lupus erythematosus (SLE) cohort.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Sociodemographic and prescription data were collected by structured interviews in 2014\u20132015 from patients meeting SLE criteria in the established Michigan Lupus Epidemiology &amp; Surveillance (MILES) Cohort. We examined the associations between CRNA and potential confounders such as sociodemographics and health insurance coverage, and outcome measures of SLE activity and damage using multivariable linear regression.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>462 SLE participants completed the study visit: 430 (93.1%) female, 208 (45%) Black, and mean age 53.3\u00a0years. 100 (21.6%) participants with SLE reported CRNA in the preceding 12\u00a0months. After adjusting for covariates, CRNA was associated with both higher levels of current SLE disease activity [SLAQ: \u03b2 coeff 2.7 (95% CI 1.3, 4.1), p &lt; 0.001] and damage [LDIQ \u03b2 coeff 1.4 (95% CI 0.5, 2.4), p = 0.003]. Race, health insurance status, and fulfilling Fibromyalgia (FM) Survey Criteria were independently associated with both higher (worse) SLAQ and LDIQ scores; female sex was further associated with higher SLAQ scores.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Patients with SLE who reported CRNA in the previous 12\u00a0months had significantly worse self-reported current disease activity and damage scores compared to those not reporting CRNA. Raising awareness and addressing barriers or concerns related to financial implications and accessibility issues in care plans may help to improve these outcomes.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/09612033231186113","type":"journal-article","created":{"date-parts":[[2023,6,28]],"date-time":"2023-06-28T09:22:19Z","timestamp":1687944139000},"page":"1075-1083","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":8,"title":["Cost-related prescription non-adherence and patient-reported outcomes in systemic lupus erythematosus: The Michigan Lupus Epidemiology &amp; Surveillance program"],"prefix":"10.1177","volume":"32","author":[{"given":"Deeba","family":"Minhas","sequence":"first","affiliation":[{"name":"Department of Internal Medicine, University of Michigan, Ann Arbor, MI, 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USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1244-6443","authenticated-orcid":false,"given":"Caroline","family":"Gordon","sequence":"additional","affiliation":[{"name":"Rheumatology Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sioban D","family":"Harlow","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lu","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kamil E","family":"Barbour","sequence":"additional","affiliation":[{"name":"Centers for Disease Control and Prevention, Atlanta, GA, 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