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马来西亚医疗保健部门对短信疫苗接种提醒和召回系统的接受度:扩展技术接受模型

Acceptance of a Text Messaging Vaccination Reminder and Recall System in Malaysia's Healthcare Sector: Extending the Technology Acceptance Model.

作者信息

Karkonasasi Kamal, Cheah Yu-N, Vadiveloo Mogana, Mousavi Seyed Aliakbar

机构信息

School of Computer Sciences, Universiti Sains Malaysia, USM Penang 11800, Malaysia.

Faculty of Information and Communication Technology, Universiti Tunku Abdul Rahman, Kampar 31900, Malaysia.

出版信息

Vaccines (Basel). 2023 Aug 6;11(8):1331. doi: 10.3390/vaccines11081331.

Abstract

Malaysian healthcare institutions still use ineffective paper-based vaccination systems to manage childhood immunization schedules. This may lead to missed appointments, incomplete vaccinations, and outbreaks of preventable diseases among infants. To address this issue, a text messaging vaccination reminder and recall system named Virtual Health Connect (VHC) was studied. VHC simplifies and accelerates immunization administration for nurses, which may result in improving the completion and timeliness of immunizations among infants. Considering the limited research on the acceptance of these systems in the healthcare sector, we examined the factors influencing nurses' attitudes and intentions to use VHC using the extended technology acceptance model (TAM). The novelty of the conceptual model is the incorporation of new predictors of attitude, namely, perceived compatibility and perceived privacy and security issues. We conducted a survey among 121 nurses in Malaysian government hospitals and clinics to test the model. We analyzed the collected data using partial least squares structural equation modeling (PLS-SEM) to examine the significant factors influencing nurses' attitudes and intentions to use VHC. Moreover, we applied an artificial neural network (ANN) to determine the most significant factors of acceptance with higher accuracy. Therefore, we could offer more accurate insights to decision-makers in the healthcare sector for the advancement of health services. Our results highlighted that the compatibility of VHC with the current work setting of nurses developed their positive perspectives on the system. Moreover, the nurses felt optimistic about the system when they considered it useful and easy to use in the workplace. Finally, their attitude toward using VHC played a pivotal role in increasing their intention to use it. Based on the ANN models, we also found that perceived compatibility was the most significant factor influencing nurses' attitudes towards using VHC, followed by perceived ease of use and perceived usefulness.

摘要

马来西亚的医疗机构仍在使用效率低下的纸质疫苗接种系统来管理儿童免疫接种计划。这可能导致预约错过、疫苗接种不完整以及婴儿中可预防疾病的爆发。为了解决这个问题,研究了一种名为虚拟健康连接(VHC)的短信疫苗接种提醒和召回系统。VHC简化并加快了护士的免疫接种管理流程,这可能会提高婴儿免疫接种的完成率和及时性。鉴于医疗保健领域对这些系统接受度的研究有限,我们使用扩展技术接受模型(TAM)研究了影响护士对使用VHC的态度和意愿的因素。概念模型的新颖之处在于纳入了新的态度预测因素,即感知兼容性以及感知隐私和安全问题。我们对马来西亚政府医院和诊所的121名护士进行了一项调查以测试该模型。我们使用偏最小二乘结构方程模型(PLS-SEM)分析收集到的数据,以研究影响护士对使用VHC的态度和意愿的重要因素。此外,我们应用人工神经网络(ANN)来更准确地确定接受度的最重要因素。因此,我们可以为医疗保健领域的决策者提供更准确的见解,以推动医疗服务的发展。我们的结果表明,VHC与护士当前工作环境的兼容性使他们对该系统产生了积极的看法。此外,当护士认为该系统在工作场所有用且易于使用时,他们对该系统感到乐观。最后,他们对使用VHC的态度在增加其使用意愿方面起着关键作用。基于人工神经网络模型,我们还发现感知兼容性是影响护士对使用VHC态度的最重要因素,其次是感知易用性和感知有用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74bc/10458098/648dccb0707a/vaccines-11-01331-g001.jpg

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