“Following the data”: Perceptions of and willingness to use clinical decision support tools to inform HIV care among Haitian clinicians

IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES
Andrew M. Secor , John Justafort , Chenet Torrilus , Jean Guy Honoré , Sharon Kiche , Tracy K. Sandifer , Kristin Beima-Sofie , Anjuli D. Wagner , Jillian Pintye , Nancy Puttkammer
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引用次数: 0

Abstract

Background

Clinical decision support (CDS) tools can support HIV care, including through case tracking, treatment and medication monitoring, and promoting provider compliance with care guidelines. There has been limited research into the technical, organizational, and behavioral factors that impact perceptions of and willingness to use CDS tools at scale in resource-limited settings, including in Haiti.

Methods

Our sample included fifteen purposively chosen Haitian HIV program experts, including active clinicians and HIV program managers. Participants completed structured quantitative surveys and one-on-one qualitative semi-structured interviews.

Results

Study participants had high levels of familiarity and experience with CDS tools. The primary motivator for CDS tool use was a perceived benefit to quality of care, including improved provider time use, efficiency, and decision-making ability, and patient outcomes. Participants highlighted decision-making autonomy and how CDS tools could support provider decision making but should not supplant provider knowledge and experience. Participants highlighted the need for sufficient provider training/sensitization, inclusion of providers in the system design process, and prioritization of tool user-friendliness as key mechanisms to drive tool use and impact. Some participants noted that systemic issues, such as limited laboratory capacity, may reduce the usefulness of CDS alerts, particularly concerning differentiated care and priority viral load testing.

Conclusion

Respondents had largely positive perceptions of EMRs and CDS tools, particularly due to perceived improvements in quality of care. To improve tool use, stakeholders should prioritize tool user-friendliness and provider training. Addressing systemic health system issues is necessary to unlock the full potential of these tools.

"跟踪数据":海地临床医生对使用临床决策支持工具为艾滋病毒护理提供信息的看法和意愿
背景临床决策支持(CDS)工具可以通过病例追踪、治疗和药物监测以及促进医疗服务提供者遵守医疗指南等方式支持艾滋病护理。在资源有限的环境中,包括在海地,对影响大规模使用 CDS 工具的看法和意愿的技术、组织和行为因素的研究还很有限。方法 我们的样本包括 15 名特意挑选的海地 HIV 项目专家,其中包括活跃的临床医生和 HIV 项目经理。参与者完成了结构化定量调查和一对一半结构化定性访谈。使用 CDS 工具的主要动机是认为它有利于提高医疗质量,包括改善医疗服务提供者的时间利用、效率和决策能力,以及改善患者的治疗效果。与会者强调了决策自主权以及 CDS 工具如何支持医疗服务提供者的决策,但不应取代医疗服务提供者的知识和经验。与会者强调,作为推动工具使用和影响的关键机制,需要对医疗服务提供者进行充分的培训/宣传,将医疗服务提供者纳入系统设计过程,并优先考虑工具的用户友好性。一些参与者指出,实验室能力有限等系统性问题可能会降低 CDS 警报的效用,特别是在有区别的护理和优先病毒载量检测方面。为提高工具的使用率,相关方应优先考虑工具的易用性和对提供者的培训。要充分释放这些工具的潜力,就必须解决系统性的医疗系统问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Health Policy and Technology
Health Policy and Technology Medicine-Health Policy
CiteScore
9.20
自引率
3.30%
发文量
78
审稿时长
88 days
期刊介绍: Health Policy and Technology (HPT), is the official journal of the Fellowship of Postgraduate Medicine (FPM), a cross-disciplinary journal, which focuses on past, present and future health policy and the role of technology in clinical and non-clinical national and international health environments. HPT provides a further excellent way for the FPM to continue to make important national and international contributions to development of policy and practice within medicine and related disciplines. The aim of HPT is to publish relevant, timely and accessible articles and commentaries to support policy-makers, health professionals, health technology providers, patient groups and academia interested in health policy and technology. Topics covered by HPT will include: - Health technology, including drug discovery, diagnostics, medicines, devices, therapeutic delivery and eHealth systems - Cross-national comparisons on health policy using evidence-based approaches - National studies on health policy to determine the outcomes of technology-driven initiatives - Cross-border eHealth including health tourism - The digital divide in mobility, access and affordability of healthcare - Health technology assessment (HTA) methods and tools for evaluating the effectiveness of clinical and non-clinical health technologies - Health and eHealth indicators and benchmarks (measure/metrics) for understanding the adoption and diffusion of health technologies - Health and eHealth models and frameworks to support policy-makers and other stakeholders in decision-making - Stakeholder engagement with health technologies (clinical and patient/citizen buy-in) - Regulation and health economics
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