Maura M Kepper, Raúl D Gierbolini-Rivera, Kathryn E Weaver, Randi E Foraker, Emily V Dressler, Chandylen L Nightingale, Aylin A Aguilar, Kimberly D Wiseman, Jenny Hanna, Alyssa D Throckmorton, Simon Craddock Lee
{"title":"多层次因素影响肿瘤治疗中使用电子病历中嵌入的心血管疾病评估工具。","authors":"Maura M Kepper, Raúl D Gierbolini-Rivera, Kathryn E Weaver, Randi E Foraker, Emily V Dressler, Chandylen L Nightingale, Aylin A Aguilar, Kimberly D Wiseman, Jenny Hanna, Alyssa D Throckmorton, Simon Craddock Lee","doi":"10.1093/tbm/ibae058","DOIUrl":null,"url":null,"abstract":"<p><p>Digital health tools are positive for delivering evidence-based care. However, few studies have applied rigorous frameworks to understand their use in community settings. This study aimed to identify implementation determinants of the Automated Heart-Health Assessment (AH-HA) tool within outpatient oncology settings as part of a hybrid effectiveness-implementation trial. A mixed-methods approach informed by the Consolidated Framework for Implementation Research (CFIR) examined barriers and facilitators to AH-HA implementation in four NCI Community Oncology Research Program (NCORP) practices participating in the WF-1804CD AH-HA trial. Provider surveys were analyzed using descriptive statistics. Interviews with providers (n = 15) were coded using deductive (CFIR) and inductive codes by trained analysts. The CFIR rating tool was used to rate each quote for (i) valence, defined as a positive (+) or negative (-) influence, and (ii) strength, defined as a neutral (0), weak (1), or strong (2) influence on implementation. All providers considered discussing cardiovascular health with patients as important (61.5%, n = 8/13) or somewhat important (38.5%, n = 5/13). The tool was well-received by providers and was feasible to use in routine care among cancer survivors. Providers felt the tool was acceptable and usable, had a relative advantage over routine care, and had the potential to generate benefits for patients. Common reasons clinicians reported not using AH-HA were (i) insufficient time and (ii) the tool interfering with workflow. Systematically identifying implementation determinants from this study will guide the broader dissemination of the AH-HA tool across clinical settings and inform implementation strategies for future scale-up hybrid trials.</p>","PeriodicalId":48679,"journal":{"name":"Translational Behavioral Medicine","volume":" ","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multilevel factors influence the use of a cardiovascular disease assessment tool embedded in the electronic health record in oncology care.\",\"authors\":\"Maura M Kepper, Raúl D Gierbolini-Rivera, Kathryn E Weaver, Randi E Foraker, Emily V Dressler, Chandylen L Nightingale, Aylin A Aguilar, Kimberly D Wiseman, Jenny Hanna, Alyssa D Throckmorton, Simon Craddock Lee\",\"doi\":\"10.1093/tbm/ibae058\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Digital health tools are positive for delivering evidence-based care. 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Multilevel factors influence the use of a cardiovascular disease assessment tool embedded in the electronic health record in oncology care.
Digital health tools are positive for delivering evidence-based care. However, few studies have applied rigorous frameworks to understand their use in community settings. This study aimed to identify implementation determinants of the Automated Heart-Health Assessment (AH-HA) tool within outpatient oncology settings as part of a hybrid effectiveness-implementation trial. A mixed-methods approach informed by the Consolidated Framework for Implementation Research (CFIR) examined barriers and facilitators to AH-HA implementation in four NCI Community Oncology Research Program (NCORP) practices participating in the WF-1804CD AH-HA trial. Provider surveys were analyzed using descriptive statistics. Interviews with providers (n = 15) were coded using deductive (CFIR) and inductive codes by trained analysts. The CFIR rating tool was used to rate each quote for (i) valence, defined as a positive (+) or negative (-) influence, and (ii) strength, defined as a neutral (0), weak (1), or strong (2) influence on implementation. All providers considered discussing cardiovascular health with patients as important (61.5%, n = 8/13) or somewhat important (38.5%, n = 5/13). The tool was well-received by providers and was feasible to use in routine care among cancer survivors. Providers felt the tool was acceptable and usable, had a relative advantage over routine care, and had the potential to generate benefits for patients. Common reasons clinicians reported not using AH-HA were (i) insufficient time and (ii) the tool interfering with workflow. Systematically identifying implementation determinants from this study will guide the broader dissemination of the AH-HA tool across clinical settings and inform implementation strategies for future scale-up hybrid trials.
期刊介绍:
Translational Behavioral Medicine publishes content that engages, informs, and catalyzes dialogue about behavioral medicine among the research, practice, and policy communities. TBM began receiving an Impact Factor in 2015 and currently holds an Impact Factor of 2.989.
TBM is one of two journals published by the Society of Behavioral Medicine. The Society of Behavioral Medicine is a multidisciplinary organization of clinicians, educators, and scientists dedicated to promoting the study of the interactions of behavior with biology and the environment, and then applying that knowledge to improve the health and well-being of individuals, families, communities, and populations.