{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T14:19:21Z","timestamp":1790000361533,"version":"4.0.1"},"reference-count":15,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T00:00:00Z","timestamp":1789948800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T00:00:00Z","timestamp":1789948800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Res Notes"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The Patient Treatment Engagement Scale (PTES) is a simplified tool for assessing patient involvement in treatment decision-making, which is an important element of patient-centered care. Shared Decision Making (SDM) is the standard measure in this field; however, it is time-consuming and often difficult for non-physician healthcare professionals to apply in routine practice. Therefore, in this study we adopted PTES as a more pragmatic alternative and exploratively analyzed factors associated with PTES scores among patients with inflammatory bowel disease (IBD).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Individual patient data were collected via a web-based questionnaire. Items potentially associated with PTES, based on previous studies, were screened, and multicollinearity was assessed using Kendall\u2019s \u03c4. A multiple regression model was constructed using the ordinary least squares method, and standardized \u03b2 values and variance inflation factor (VIF) values were calculated. Subgroup analyses were performed separately for ulcerative colitis (UC) and Crohn\u2019s disease (CD), and cross-validation was conducted.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The main factors associated with PTES scores were the number of treatment options (\u03b2\u2009=\u20090.191), presence of complications (\u03b2\u2009=\u20090.128), trust in the attending physician (\u03b2\u2009=\u20090.119), number of trusted healthcare professionals (\u03b2\u2009=\u20090.099), and availability of supportive communities (\u03b2\u2009=\u20090.068). The number of treatment options had a particularly strong influence on UC patients, whereas the number of trusted healthcare professionals had a greater impact on CD patients.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Providing multiple treatment options and building trust with healthcare providers are crucial factors associated with higher PTES scores, reflecting greater patient engagement in treatment decision-making.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s13104-026-07664-2","type":"journal-article","created":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T11:13:37Z","timestamp":1789989217000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Patient treatment engagement scale (PTES) for inflammatory bowel disease: exploring background factors"],"prefix":"10.1186","volume":"19","author":[{"given":"Hisao","family":"Toyoshima","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chiharu","family":"Yashima","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tomohide","family":"Akase","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masayoshi","family":"Koinuma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,9,21]]},"reference":[{"issue":"5","key":"7664_CR1","doi-asserted-by":"publisher","first-page":"681","DOI":"10.1016\/S0277-9536(96)00221-3","volume":"44","author":"C Charles","year":"1997","unstructured":"Charles C, Gafni A, Whelan T. Shared decision-making in the medical encounter: what does it mean? (Or it takes at least two to tango). Soc Sci Med. 1997;44(5):681\u201392.\u00a0https:\/\/doi.org\/10.1016\/S0277-9536(96)00221-3.","journal-title":"Soc Sci Med"},{"issue":"10","key":"7664_CR2","doi-asserted-by":"publisher","first-page":"1361","DOI":"10.1007\/s11606-012-2077-6","volume":"27","author":"G Elwyn","year":"2012","unstructured":"Elwyn G, Frosch D, Thomson R, Joseph-Williams N, Lloyd A, Kinnersley P, et al. Shared decision making: a model for clinical practice. J Gen Intern Med. 2012;27:1361\u20137.\u00a0 https:\/\/doi.org\/10.1007\/s11606-012-2077-6.","journal-title":"J Gen Intern Med"},{"issue":"1","key":"7664_CR3","doi-asserted-by":"publisher","DOI":"10.1186\/s12876-021-01916-0","volume":"21","author":"JN Cohan","year":"2021","unstructured":"Cohan JN, Ozanne EM, Hofer RK, Kelly YM, Kata A, Larsen C, et al. 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