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专家对视觉分析在复杂精神卫生保健规划中应用的看法:一项探索性研究。

Experts' perceptions on the use of visual analytics for complex mental healthcare planning: an exploratory study.

机构信息

Centre for Research on Ageing, Health and Wellbeing, Research School of Population Health, College of Health and Medicine, Australian National University, Canberra, Australia.

PHXchange (Population Health Exchange), Research School of Population Health, College of Health and Medicine, Australian National University, Canberra, Australia.

出版信息

BMC Med Res Methodol. 2020 May 7;20(1):110. doi: 10.1186/s12874-020-00986-0.

Abstract

BACKGROUND

Health experts including planners and policy-makers face complex decisions in diverse and constantly changing healthcare systems. Visual analytics may play a critical role in supporting analysis of complex healthcare data and decision-making. The purpose of this study was to examine the real-world experience that experts in mental healthcare planning have with visual analytics tools, investigate how well current visualisation techniques meet their needs, and suggest priorities for the future development of visual analytics tools of practical benefit to mental healthcare policy and decision-making.

METHODS

Health expert experience was assessed by an online exploratory survey consisting of a mix of multiple choice and open-ended questions. Health experts were sampled from an international pool of policy-makers, health agency directors, and researchers with extensive and direct experience of using visual analytics tools for complex mental healthcare systems planning. We invited them to the survey, and the experts' responses were analysed using statistical and text mining approaches.

RESULTS

The forty respondents who took part in the study recognised the complexity of healthcare systems data, but had most experience with and preference for relatively simple and familiar visualisations such as bar charts, scatter plots, and geographical maps. Sixty-five percent rated visual analytics as important to their field for evidence-informed decision-making processes. Fifty-five percent indicated that more advanced visual analytics tools were needed for their data analysis, and 67.5% stated their willingness to learn new tools. This was reflected in text mining and qualitative synthesis of open-ended responses.

CONCLUSIONS

This exploratory research provides readers with the first self-report insight into expert experience with visual analytics in mental healthcare systems research and policy. In spite of the awareness of their importance for complex healthcare planning, the majority of experts use simple, readily available visualisation tools. We conclude that co-creation and co-development strategies will be required to support advanced visual analytics tools and skills, which will become essential in the future of healthcare.

摘要

背景

健康专家,包括规划者和政策制定者,在多样化且不断变化的医疗保健系统中面临复杂的决策。可视化分析可能在支持复杂医疗保健数据的分析和决策方面发挥关键作用。本研究的目的是检查精神保健规划专家在实际中使用可视化分析工具的经验,调查当前可视化技术在多大程度上满足他们的需求,并为未来开发对精神保健政策和决策具有实际意义的可视化分析工具提出优先事项。

方法

通过混合使用多项选择和开放式问题的在线探索性调查来评估健康专家的经验。从国际政策制定者、卫生机构主管和研究人员的人才库中抽取卫生专家,他们具有使用可视化分析工具进行复杂精神保健系统规划的广泛而直接的经验。我们邀请他们参加调查,并使用统计和文本挖掘方法分析专家的回应。

结果

参加这项研究的四十名受访者认识到医疗保健系统数据的复杂性,但最熟悉和偏好相对简单的可视化方法,如条形图、散点图和地理地图。65%的受访者认为可视化分析对于他们的领域很重要,因为这有助于进行循证决策。55%的受访者表示需要更先进的可视化分析工具来进行数据分析,67.5%的受访者表示愿意学习新工具。这反映在对开放式回复的文本挖掘和定性综合分析中。

结论

这项探索性研究为读者提供了关于精神保健系统研究和政策中专家使用可视化分析经验的第一份自我报告见解。尽管专家们意识到可视化分析对于复杂的医疗保健规划很重要,但大多数专家还是使用简单、易于获取的可视化工具。我们的结论是,需要采用共同创造和共同开发战略来支持高级可视化分析工具和技能,这在未来的医疗保健中至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69b0/7206783/dd6ad82ba49f/12874_2020_986_Fig1_HTML.jpg

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