2018
DOI: 10.4300/jgme-d-17-00318.1
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A Qualitative Analysis of Attending Physicians' Use of Shared Decision-Making: Implications for Resident Education

Abstract: Background Physicians need to rapidly and effectively facilitate patient-centered, shared decision-making (SDM) conversations, but little is known about how residents or attending physicians acquire this skill.

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Cited by 12 publications
(46 citation statements)
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“…Included articles used qualitative study designs, with the majority using interviews [ 44 , 46 48 , 50 52 , 55 57 ], followed by focus groups [ 44 , 46 , 51 , 54 ], observation [ 49 , 53 ], and conference breakout session [ 45 ].…”
Section: Resultsmentioning
confidence: 99%
“…Included articles used qualitative study designs, with the majority using interviews [ 44 , 46 48 , 50 52 , 55 57 ], followed by focus groups [ 44 , 46 , 51 , 54 ], observation [ 49 , 53 ], and conference breakout session [ 45 ].…”
Section: Resultsmentioning
confidence: 99%
“…There is unlikely to be a one-size-fits all solution, and efforts to further train physicians in the nuances of SDM are likely worthwhile. 20 …”
Section: Discussionmentioning
confidence: 99%
“…For any curriculum or education experience it is important to determine the efficacy of outcomes pertaining to changes in breastfeeding knowledge, attitudes towards breastfeeding patient education, perceptions related to breastfeeding clinical practice, and comfort level with their own breastfeeding management skills by measuring learner outcomes. Outcomes such as these can be easily measured quantitatively, but the inclusion of qualitative feedback or reflection can provide insights into breastfeeding education, skills, and experience (Schoenfeld et al, 2018; Shorey, Siew, & Ang, 2018). Furthermore, long-term knowledge and skills retention of learners can ultimately be measured through a patient’s initiation of, and the duration of, breastfeeding, yet these measurements are rare when evaluating an education intervention—likely due to the long-term and complex nature of the measurement (Madani et al, 2016; Meedya, Fernandez, & Fahy, 2017; Ramirez, Hu, Kim, & Rasmussen, 2017).…”
Section: Discussionmentioning
confidence: 99%