2021
DOI: 10.1016/j.cct.2021.106271
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Design and rationale of an intervention to improve cancer prevention using clinical decision support and shared decision making: A clinic-randomized trial

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Cited by 11 publications
(63 citation statements)
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“…Because this was a paper reporting exploratory patient survey results, we did not report model-based results that controlled for any potential clinic-level differences. All clinics were balanced prior to randomization [ 28 ].…”
Section: Discussionmentioning
confidence: 99%
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“…Because this was a paper reporting exploratory patient survey results, we did not report model-based results that controlled for any potential clinic-level differences. All clinics were balanced prior to randomization [ 28 ].…”
Section: Discussionmentioning
confidence: 99%
“…Participants included in the usual care study arm would have met the criteria for the CDS if they visited an intervention clinic. We recently published a paper outlining the design of the RCT [ 28 ]. Results of the RCT will be published separately.…”
Section: Methodsmentioning
confidence: 99%
“…Primary care clinicians (PCCs) manage multiple complex medical issues for a wide variety of patients, as well as must stay on top of patients' preventative health care [1][2][3][4][5][6][7][8][9]. Given competing priorities, limited visit time, and the areas of importance for patients, cancer prevention and screening may be overlooked by both patients and PCCs [1, 4, 6-8, 10, 11].…”
Section: Introductionmentioning
confidence: 99%
“…Given competing priorities, limited visit time, and the areas of importance for patients, cancer prevention and screening may be overlooked by both patients and PCCs [1, 4, 6-8, 10, 11]. Workable solutions are needed that adapt into clinic workflow, such as algorithm-based clinical decision support (CDS) systems connected with the electronic health record (EHR) [1,2,4,[6][7][8]. CDS can be used to help facilitate health care and save PCCs time and effort by: identifying numerous health care needs through instantly reviewing the EHR; alerting the user to context-specific knowledge; and assisting with medical decision-making [12][13][14].…”
Section: Introductionmentioning
confidence: 99%
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