Digital national waiting time information system - View of Finnish public oral healthcare managers

IF 3.4 3区 医学 Q1 HEALTH POLICY & SERVICES Health Policy and Technology Pub Date : 2024-08-16 DOI:10.1016/j.hlpt.2024.100900
Riitta Söderlund
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Abstract

Objectives

The study evaluated the digital national waiting time information system from the point of view of oral healthcare managers in Finland in 2021. The information system (IS) was implemented in 2014, primarily to monitor waiting times in public healthcare. The system reported the information on realised waiting times on the Internet.

Methods

We gathered the data using a cross-sectional survey. Evaluating the system was based on a modified IS success model with the dimensions of information quality, system quality, individual impact and organisational impact. We used convenience sampling when including in the study managers working in public primary oral healthcare in the spring of 2021.

Results

The managers (n = 97) perceived it as easy to access the waiting time information on one website, but they evaluated the information as low quality. The information on realised waiting times supported them in the management of current waiting times to a minor degree. The managers associated the information inaccuracy in the national system with dental nurses’ poor data entry in electronic patient ISs in oral healthcare organisations. The inaccuracy meant that waiting time monitoring data was not valid.

Conclusions

Our modified IS success model was sufficient to ascertain that poor information quality likely influenced the effectiveness of managers in information-driven waiting time management. Information must be relevant and accurate to promote the success of ISs. Further research is required to explore how to improve the design of national ISs from the point of view of different stakeholders in healthcare.

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数字化国家等候时间信息系统--芬兰公共口腔医疗管理人员的观点
目标本研究从 2021 年芬兰口腔医疗管理人员的角度对数字化国家等候时间信息系统进行了评估。该信息系统(IS)于 2014 年投入使用,主要用于监控公共医疗机构的候诊时间。方法我们通过横断面调查收集数据。对系统的评估基于改进的信息系统成功模型,该模型包括信息质量、系统质量、个人影响和组织影响。我们采用方便抽样法,将 2021 年春季在公立初级口腔医疗机构工作的管理人员纳入研究范围。结果管理人员(n = 97)认为在一个网站上获取等待时间信息很容易,但他们对信息质量的评价较低。关于实际等候时间的信息在一定程度上帮助他们管理当前的等候时间。管理人员认为,国家系统中的信息不准确与口腔医疗机构中牙科护士在患者电子信息系统中的数据输入不准确有关。结论我们修改后的信息系统成功模型足以确定,信息质量差可能会影响管理人员在信息驱动的候诊时间管理中的有效性。信息必须具有相关性和准确性,才能促进信息系统的成功。还需要进一步研究,从医疗保健领域不同利益相关者的角度探讨如何改进国家信息系统的设计。
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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