{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T12:18:40Z","timestamp":1777897120260,"version":"3.51.4"},"reference-count":23,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Substance Abuse"],"published-print":{"date-parts":[[2017,1]]},"abstract":"<jats:p>\n                    <jats:italic toggle=\"yes\">Background<\/jats:italic>\n                    : Although people with mental illness, including substance use disorders, consume 44% of cigarettes in the United States, few facilities provide tobacco treatment. This study assesses staff- and facility-level drivers of tobacco treatment in substance use treatment.\n                    <jats:italic toggle=\"yes\">Methods<\/jats:italic>\n                    : Surveys were administered to 405 clinic directors selected from a comprehensive inventory of 3800 US outpatient facilities. The main outcome was the validated 7-item Index of Tobacco Treatment Quality. Other measures included the validated Tobacco Treatment Commitment Scale and indicators of facility resources for providing tobacco treatment.\n                    <jats:italic toggle=\"yes\">Results<\/jats:italic>\n                    : Stepwise model selection was used to determine the relationship between capacity\/resources and treatment quality. The final model retained 7 items and had good fit (adjusted\n                    <jats:italic toggle=\"yes\">R<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    = 0.43). Four capacities significantly predicted treatment quality. Structural equation modeling (SEM) was used to test the impact of staff commitment on treatment quality; the model had good fit and the relationship was significant (comparative fit index [CFI] = 0.951, root mean square error of approximation [RMSEA] = 0.054). Adding the 7 capacity\/resources maintained similar model fit (CFI = 0.922, RMSEA = 0.053). Staff commitment was slightly strengthened in this model, with a rise in parameter estimate from 0.449 to 0.560. All resource\/capacity items were also significant predictors of treatment quality; the strongest was receiving training in how to provide tobacco treatment (0.360), followed by dedicated staff time (0.279) and having a policy that requires staff to offer treatment (0.272).\n                    <jats:italic toggle=\"yes\">Conclusions<\/jats:italic>\n                    : Staff commitment to providing tobacco treatment was the strongest predictor of tobacco treatment quality, followed by resources for providing treatment. Interventions to change staff attitudes\n                    <jats:italic toggle=\"yes\">and<\/jats:italic>\n                    improve resources for tobacco treatment have the strongest potential for improving quality of care.\n                  <\/jats:p>","DOI":"10.1080\/08897077.2016.1265039","type":"journal-article","created":{"date-parts":[[2016,11,29]],"date-time":"2016-11-29T11:18:18Z","timestamp":1480418298000},"page":"35-39","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["Commitment and Capacity for Providing Evidence-Based Tobacco Treatment in Us Drug Treatment Facilities"],"prefix":"10.1177","volume":"38","author":[{"given":"Kimber P.","family":"Richter","sequence":"first","affiliation":[{"name":"Department of Preventive Medicine and Public Health, University of Kansas Medical School, Kansas City, Kansas, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1801-2152","authenticated-orcid":false,"given":"Jamie J.","family":"Hunt","sequence":"additional","affiliation":[{"name":"School of Nursing and Health Studies, University of Missouri Kansas City, Kansas City, Missouri, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A. Paula","family":"Cupertino","sequence":"additional","affiliation":[{"name":"Department of Preventive Medicine and Public Health, University of Kansas Medical School, Kansas City, Kansas, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Byron J.","family":"Gajewski","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, University of Kansas Medical School, Kansas City, Kansas, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4821-3585","authenticated-orcid":false,"given":"Yu","family":"Jiang","sequence":"additional","affiliation":[{"name":"Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, Tennessee, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Janet","family":"Marquis","sequence":"additional","affiliation":[{"name":"The Schiefelbusch Institute for Life Span Studies, University of Kansas, Lawrence, Kansas, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter D.","family":"Friedmann","sequence":"additional","affiliation":[{"name":"Office of Research and Department of Medicine, University of Massachusetts\u2013Baystate and Baystate Health, Springfield, Massachusetts, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2017,1,1]]},"reference":[{"key":"e_1_3_4_2_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.1996.03530380039029"},{"key":"e_1_3_4_3_2","doi-asserted-by":"publisher","DOI":"10.1001\/archpsyc.1993.01820190079008"},{"key":"e_1_3_4_4_2","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.clinpsy.032408.153614"},{"key":"e_1_3_4_5_2","first-page":"110","article-title":"Stopping smoking during first year of substance use treatment predicted 9-year alcohol and drug treatment outcomes","volume":"114","author":"Tsoh JY","year":"2011","unstructured":"Tsoh JY, , Chi FW, , MertensJR, , Weisner CM. Stopping smoking during first year of substance use treatment predicted 9-year alcohol and drug treatment outcomes. Drug Alcohol Depend. 2011;114:110\u2013118.","journal-title":"Drug Alcohol Depend."},{"key":"e_1_3_4_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0376-8716(96)01331-2"},{"key":"e_1_3_4_7_2","doi-asserted-by":"publisher","DOI":"10.1300\/J069v17n02_02"},{"key":"e_1_3_4_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/0740-5472(93)90045-4"},{"key":"e_1_3_4_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/0740-5472(93)90044-3"},{"key":"e_1_3_4_10_2","first-page":"800","article-title":"Nicotine dependence and depression among methadone maintenance patients","volume":"88","author":"Meyer TJ","year":"1996","unstructured":"Meyer TJ, , Lin MM, , Brown LSJr. Nicotine dependence and depression among methadone maintenance patients. J Natl Med Assoc. 1996;88:800\u2013804.","journal-title":"J Natl Med Assoc."},{"key":"e_1_3_4_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0740-5472(02)00344-6"},{"key":"e_1_3_4_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsat.2007.02.006"},{"key":"e_1_3_4_13_2","doi-asserted-by":"publisher","DOI":"10.1080\/09595230500170282"},{"key":"e_1_3_4_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsat.2009.12.002"},{"key":"e_1_3_4_15_2","doi-asserted-by":"publisher","DOI":"10.1080\/02791072.2007.10399881"},{"key":"e_1_3_4_16_2","doi-asserted-by":"publisher","DOI":"10.1176\/appi.ps.55.11.1258"},{"key":"e_1_3_4_17_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11414-011-9246-y"},{"key":"e_1_3_4_18_2","doi-asserted-by":"publisher","DOI":"10.1186\/1747-597X-8-13"},{"key":"e_1_3_4_19_2","doi-asserted-by":"publisher","DOI":"10.1037\/a0034389"},{"key":"e_1_3_4_20_2","volume-title":"N-SSATS, 2008. 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