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医生对电子肺癌筛查决策辅助工具的偏好。

Physician preferences for an electronic lung cancer screening decision aid.

机构信息

Division of General Internal Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave Levy Pl, Box 1087, New York, NY 10029. Email:

出版信息

Am J Manag Care. 2024 May;30(6 Spec No.):SP445-SP451. doi: 10.37765/ajmc.2024.89551.

Abstract

OBJECTIVE

To present primary care physician (PCP) suggestions for design and implementation of a decision aid (DA) tool to support patient-provider shared decision-making on lung cancer screening (LCS).

STUDY DESIGN

Semistructured interviews were conducted with 15 PCPs at an academic medical center.

METHODS

The deidentified transcripts were independently coded by 2 study interviewers and jointly reviewed every 5 interviews until we determined that data saturation had been achieved. We then identified themes in the data and selected illustrative quotes.

RESULTS

Three main themes were identified: (1) make it brief and familiar (make the tool user-friendly and implement a similar format to other widely used DAs); (2) bring me to automation station (limit busywork; focus on the patient and on the decision); and (3) involve the patient (facilitate patient involvement in the DA with simple language, visual aids, and bullet-point takeaways).

CONCLUSIONS

Findings contain concrete suggestions by PCPs to inform usable and acceptable LCS DA tool design and implementation. For an LCS DA to be most successful, PCPs emphasized that the tool must be easy to use and incorporate autopopulation functions to limit redundant patient charting.

摘要

目的

提出初级保健医生(PCP)对设计和实施决策辅助工具(DA)的建议,以支持患者与医生就肺癌筛查(LCS)共同决策。

研究设计

对一家学术医疗中心的 15 名 PCP 进行了半结构化访谈。

方法

对 2 位研究访谈者独立对去识别化的转录本进行编码,并在每 5 次访谈后共同审查,直到我们确定已经达到数据饱和。然后,我们在数据中确定主题,并选择有代表性的引语。

结果

确定了三个主要主题:(1)保持简洁和熟悉(使工具用户友好,并采用与其他广泛使用的 DA 类似的格式);(2)带我进入自动化工作站(减少繁琐工作;关注患者和决策);(3)涉及患者(使用简单的语言、视觉辅助工具和要点摘录,促进患者参与 DA)。

结论

研究结果包含了 PCP 对可用且可接受的 LCS DA 工具设计和实施的具体建议。为了使 LCS DA 最成功,PCP 强调该工具必须易于使用,并纳入自动填充功能,以限制冗余的患者图表填写。

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