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在为临床结局评估工具开发而进行定性概念发掘访谈研究中,进行事先告知的样本量估计。

Informing a priori Sample Size Estimation in Qualitative Concept Elicitation Interview Studies for Clinical Outcome Assessment Instrument Development.

机构信息

Adelphi Values, Boston, MA, USA.

Adelphi Values, Boston, MA, USA.

出版信息

Value Health. 2018 Jul;21(7):839-842. doi: 10.1016/j.jval.2017.11.014. Epub 2018 Mar 7.

DOI:10.1016/j.jval.2017.11.014
PMID:30005756
Abstract

OBJECTIVE

Evidence-based recommendations for the a priori estimation of sample size are needed for qualitative concept elicitation (CE) interview studies in clinical outcome assessment (COA) instrument development. Saturation is described as the point at which no new data is expected to emerge from the conduct of additional qualitative interviews.

STUDY DESIGN

A retrospective evaluation of 26 CE interview studies conducted with patients between 2006 and 2013 was completed to assess the point at which saturation of concept was achieved in each study.

METHODS

For each of the 26 interview studies, saturation of symptom concepts was assessed by dividing the sample into quartiles and then comparing the number of responses elicited from the first 25% of participants to the next 25% of participants, from the first 50% of participants to the next 25% of participants, and then from the first 75% of participants to the last 25% of participants. The number of interviews required to achieve saturation was documented for each study and then summarized across studies.

RESULTS

Findings indicate that 84% of symptom concepts emerged by the 10th interview, 92% emerged by the 15th interview, 97% emerged by the 20th interview, and 99% by the 25th interview.

CONCLUSIONS

Results provide practical guidance for estimating the number of interviews that may be needed to achieve saturation in a qualitative CE interview study for COA instrument development; address an important gap in qualitative research for the development of COAs in the context of medical product development; and offer useful information for study design and implementation.

摘要

目的

在临床结局评估(COA)工具开发中,定性概念发掘(CE)访谈研究需要基于证据的事先样本量估算建议。饱和是指从进行额外的定性访谈中预计不会出现新数据的点。

研究设计

对 2006 年至 2013 年间进行的 26 项 CE 访谈研究进行了回顾性评估,以评估每项研究中概念达到饱和的程度。

方法

对于 26 项访谈研究中的每一项,通过将样本分为四分位数,并比较前 25%的参与者与接下来的 25%的参与者、前 50%的参与者与接下来的 25%的参与者、前 75%的参与者与最后 25%的参与者之间引出的响应数量,评估症状概念的饱和程度。记录了每项研究中达到饱和所需的访谈次数,然后对研究进行总结。

结果

研究结果表明,84%的症状概念在第 10 次访谈中出现,92%在第 15 次访谈中出现,97%在第 20 次访谈中出现,99%在第 25 次访谈中出现。

结论

结果为估计定性 CE 访谈研究中可能需要进行多少次访谈以达到 COA 工具开发的饱和提供了实际指导;解决了医疗产品开发背景下 COA 开发的定性研究中的一个重要空白;并为研究设计和实施提供了有用的信息。

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