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Despite calls from a number of scholars, empirical insights into the complex structural and cultural predictors of why decision aids (DAs) become routinely embedded in health care settings remains limited and highly variable across implementation contexts.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      We examined associations between \u201creach\u201d, a widely used indicator (from the RE-AIM model) of implementation success, and multi-level site characteristics of nine LVAD clinics engaged over 18\u00a0months in implementation and dissemination of a decision aid for left ventricular assist device (LVAD) treatment. Based on data collected from nurse coordinators, we explored factors at the level of the organization (e.g. patient volume), patient population (e.g. health literacy; average sickness level), clinician characteristics (e.g. attitudes towards decision aid; readiness for change) and process (how the aid was administered). We generated descriptive statistics for each site and calculated zero-order correlations (Pearson\u2019s\u00a0\n                      <jats:italic>r<\/jats:italic>\n                      ) between all multi-level site variables including cumulative reach at 12\u00a0months and 18\u00a0months for all sites. We used principal components analysis (PCA) to examine any latent factors governing relationships between and among all site characteristics, including reach.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      We observed strongest inclines in reach of our decision aid across the first year, with uptake fluctuating over the second year. Average reach across sites was 63% (s.d.\u2009=\u200919.56) at 12\u00a0months and 66% (s.d.\u2009=\u200919.39) at 18\u00a0months. Our PCA revealed that site characteristics positively associated with reach on two distinct dimensions, including a first dimension reflecting greater\n                      <jats:italic>organizational infrastructure and standardization<\/jats:italic>\n                      (characteristic of larger, more established clinics) and a second dimension reflecting positive\n                      <jats:italic>attitudinal orientations,<\/jats:italic>\n                      specifically, openness and capacity to give and receive decision support among coordinators and patients.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Successful implementation plans should incorporate specific efforts to promote supportive and mutually informative interactions between clinical staff members and to institute systematic and standardized protocols to enhance the availability, convenience and salience of intervention tool in routine practice. Further research is needed to understand whether \u201ccore predictors\u201d of success vary across different intervention types.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s12911-021-01468-z","type":"journal-article","created":{"date-parts":[[2021,3,20]],"date-time":"2021-03-20T16:02:41Z","timestamp":1616256161000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["A principal components analysis of factors associated with successful implementation of an LVAD decision support tool"],"prefix":"10.1186","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2510-0174","authenticated-orcid":false,"given":"Kristin M.","family":"Kostick","sequence":"first","affiliation":[]},{"given":"Meredith","family":"Trejo","sequence":"additional","affiliation":[]},{"given":"Arvind","family":"Bhimaraj","sequence":"additional","affiliation":[]},{"given":"Andrew","family":"Civitello","sequence":"additional","affiliation":[]},{"given":"Jonathan","family":"Grinstein","sequence":"additional","affiliation":[]},{"given":"Douglas","family":"Horstmanshof","sequence":"additional","affiliation":[]},{"given":"Ulrich P.","family":"Jorde","sequence":"additional","affiliation":[]},{"given":"Matthias","family":"Loebe","sequence":"additional","affiliation":[]},{"given":"Mandeep R.","family":"Mehra","sequence":"additional","affiliation":[]},{"given":"Nasir Z.","family":"Sulemanjee","sequence":"additional","affiliation":[]},{"given":"Vinay","family":"Thohan","sequence":"additional","affiliation":[]},{"given":"Barry H.","family":"Trachtenberg","sequence":"additional","affiliation":[]},{"given":"Nir","family":"Uriel","sequence":"additional","affiliation":[]},{"given":"Robert J.","family":"Volk","sequence":"additional","affiliation":[]},{"given":"Jerry D.","family":"Estep","sequence":"additional","affiliation":[]},{"given":"J. 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Under 45 CFR 46.102(l), quality improvement activities limited to collecting provider data regarding the implementation of a practice do not satisfy the definition of research. As such, there is no requirement for these activities to be conducted with informed consent, and there is no requirement for these activities to be reviewed by an IRB.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors have no competing interests to declare.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"106"}}