Schnelle Christoph, Jones Mark A
Institute of Evidence-Based Healthcare, Bond University, Robina, Queensland, Australia.
Patient Relat Outcome Meas. 2022 Aug 12;13:181-188. doi: 10.2147/PROM.S376033. eCollection 2022.
Doctors constitute a significant proportion of a very large number of medical interactions. They are known to vary in the quality of their work, with some having an exceptionally beneficial effect on patients' physical health. In a qualitative study, we interviewed medical doctors on their opinions and experiences of exceptionally good doctors. Their responses and the results from previous research are used as a basis for this proposed cross-sectional survey directed to members of the public on their encounters with exceptionally good doctors. The primary aim of this cross-sectional study is to describe the characteristics of exceptional doctors as reported by a large representative sample of adult patients.
A mixed qualitative and quantitative anonymous cross-sectional survey of 500 Amazon Mechanical Turk (MTurk) respondents, who have met one or more exceptionally good doctors in their life, will be conducted. Information requested will include reasons for nominating a particular doctor; experience of how that doctor differs from other and average doctors; and 34 5-point Likert scale questions on the characteristics of that doctor and the same Likert questions for the average doctor. An opportunity to report their experience in free-text form will be provided. Sample size will be sufficient to obtain a margin of error of 4%. The authors will provide descriptive statistics, including graphs of the Likert scale question responses; conduct factor analysis for internal validity; investigate satisficing and logical inconsistencies; and explore whether there are multiple types of exceptionally good doctors.
Previous surveys of patients' perceptions of doctors exist though none have focused on exceptionally good doctors. The expected results will include a list of characteristics that are important to patients in determining exceptionally good doctors.
在大量的医疗互动中，医生占了相当大的比例。众所周知，他们的工作质量存在差异，有些医生对患者的身体健康有着格外有益的影响。在一项定性研究中，我们采访了医生，了解他们对优秀医生的看法和经历。他们的回答以及先前研究的结果被用作此次针对公众与优秀医生相遇经历的横断面调查的基础。这项横断面研究的主要目的是描述大量具有代表性的成年患者样本所报告的优秀医生的特征。
将对500名亚马逊土耳其机器人（MTurk）受访者进行定性与定量相结合的匿名横断面调查，这些受访者一生中曾遇到过一位或多位优秀医生。所要求的信息将包括提名某位特定医生的原因；该医生与其他医生及普通医生的不同之处；以及34个关于该医生特征的5点李克特量表问题和关于普通医生的相同李克特量表问题。将提供以自由文本形式报告他们经历的机会。样本量将足以获得4%的误差幅度。作者将提供描述性统计数据，包括李克特量表问题回答的图表；进行因子分析以检验内部效度；调查敷衍作答和逻辑不一致的情况；并探索是否存在多种类型的优秀医生。
以前存在患者对医生看法的调查，但没有一项关注优秀医生。预期结果将包括对患者确定优秀医生至关重要的特征列表。
