Barriers and Facilitators to the Implementation of Family Cancer History Collection Tools in Oncology Clinical Practices

Author:

Allen Caitlin

Abstract

Abstract Introduction This study aimed to identify barriers and facilitators to the implementation of family cancer history (FCH) collection tools in clinical practices and community settings by assessing clinicians’ perceptions of implementing a chatbot interface to collect FCH information and provide personalized results to patients and providers. By identifying design and implementation features that facilitate tool adoption and integration into clinical workflows, this study can inform future FCH tool development and adoption in healthcare settings. Methods Quantitative data was collected using implementation science measure surveys to evaluate the acceptability, adoption, appropriateness, feasibility, and sustainability of the chatbot tool for collecting FCH, and semi-structured interviews were conducted to gather qualitative data on respondents' experiences using the tool and recommendations for enhancements. Results We completed 19 interviews with providers (n = 9, 47%), clinical staff (n = 5, 26%), administrators (n = 4, 21%) and other staff (n = 1, 5%) affiliated with the NCI Community Oncology Research Program. FCH was systematically collected using a wide range of tools at sites, with information being inserted into the patient’s medical record. Participants found the chatbot tool to be highly acceptable, with the tool aligning with existing workflows, and were open to adopting the tool into their practice. Conclusions The varying clinical workflows across clinic sites necessitates that future FCH tool development accommodates customizable implementation strategies. A one-size-fits-all approach to implementation of FCH collection tools in clinical workflows is not feasible and options for implementation should be considered during tool development to enhance the uptake of FCH in clinical practices and community settings.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3