Department of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras, Malaysia.
Ministry of Health Malaysia, Precinct 1, Federal Government Administrative Centre, Putrajaya, Malaysia.
JMIR Form Res. 2024 Oct 29;8:e56898. doi: 10.2196/56898.
The health care landscape is evolving rapidly due to rising costs, an aging population, and the increasing prevalence of diseases. To address these challenges, the Ministry of Health of Malaysia implemented transformation strategies such as the Casemix system and hospital information system to enhance health care quality, resource allocation, and cost-effectiveness. However, successful implementation relies not just on the technology itself but on the acceptance and engagement of the users involved.
This study aims to develop and refine items of a quantitative instrument measuring the critical success factors influencing acceptance of Casemix system implementation within the Ministry of Health's Total Hospital Information System (THIS).
A cross-sectional pilot study collected data from medical doctors at a hospital equipped with the THIS in the federal territory of Putrajaya, Malaysia. This pilot study's minimum sample size was 125, achieved through proportionate stratified random sampling. Data were collected using a web-based questionnaire adapted from the human, organization, and technology-fit evaluation framework and the technology acceptance model. The pilot data were analyzed using exploratory factor analysis (EFA), and the Cronbach α assessed internal reliability. Both analyses were conducted in SPSS (version 25.0; IBM Corp).
This study obtained 106 valid responses, equivalent to an 84.8% (106/125) response rate. The Kaiser-Meyer-Olkin measure of sampling adequacy was 0.859, and the Bartlett test of sphericity yielded statistically significant results (P<.001). Principal component analysis identified 9 components explaining 84.07% of the total variance, surpassing the minimum requirement of 60%. In total, 9 unique slopes indicated the identification of 9 components through EFA. While no new components emerged from the other 7 constructs, only the organizational factors construct was divided into 2 components, later named organizational structure and organizational environment. In total, 98% (41/42) of the items had factor loadings of >0.6, leading to the removal of 1 item for the final instrument for the field study. EFA ultimately identified 8 main constructs influencing Casemix implementation within the THIS: system quality, information quality, service quality, organizational characteristics, perceived ease of use, perceived usefulness, intention to use, and acceptance. Internal reliability measured using the Cronbach α ranged from 0.914 to 0.969, demonstrating high reliability.
This study provides insights into the complexities of EFA and the distinct dimensions underlying the constructs that influence Casemix system acceptance in the THIS. While the findings align with extensive technology acceptance literature, the results accentuate the necessity for further research to develop a consensus regarding the most critical factors for successful Casemix adoption. The developed instrument is a substantial step toward better understanding the multidimensional challenges of health care system transformations in Malaysia, postulating an underpinning for future fieldwork and broader application across other hospitals.
由于成本上升、人口老龄化和疾病发病率上升,医疗保健领域正在迅速发展。为了应对这些挑战,马来西亚卫生部实施了病例组合系统和医院信息系统等转型战略,以提高医疗保健质量、资源配置和成本效益。然而,成功实施不仅依赖于技术本身,还依赖于相关用户的接受和参与。
本研究旨在开发和完善衡量影响卫生部总医院信息系统(THIS)中病例组合系统实施接受度的关键成功因素的定量工具的项目。
一项横断面试点研究从马来西亚联邦直辖区布城配备 THIS 的一家医院的医生那里收集数据。该试点研究的最小样本量为 125,通过比例分层随机抽样实现。数据通过改编自人类、组织和技术适配评估框架和技术接受模型的网络问卷收集。使用 SPSS(版本 25.0;IBM 公司)对试点数据进行探索性因素分析(EFA)和 Cronbach α 评估内部可靠性分析。
本研究获得了 106 份有效回复,相当于 84.8%(106/125)的回复率。Kaiser-Meyer-Olkin 抽样充分度测量值为 0.859,Bartlett 球形检验结果具有统计学意义(P<.001)。主成分分析确定了 9 个解释总方差 84.07%的成分,超过了 60%的最低要求。总共,9 个独特斜率表明通过 EFA 识别了 9 个成分。虽然其他 7 个构念没有出现新的成分,但只有组织因素构念分为 2 个成分,后来分别命名为组织结构和组织环境。总共,42 个项目中的 41%(41/42)的项目具有>0.6 的因子负荷,导致在最终的现场研究仪器中删除了 1 个项目。EFA 最终确定了影响 THIS 中病例组合实施的 8 个主要构念:系统质量、信息质量、服务质量、组织特征、易用性感知、有用性感知、使用意图和接受。使用 Cronbach α 测量的内部可靠性范围为 0.914 至 0.969,表明可靠性高。
本研究深入了解 EFA 的复杂性以及影响 THIS 中病例组合系统接受度的构建背后的独特维度。虽然研究结果与广泛的技术接受文献一致,但结果强调需要进一步研究,以就成功采用病例组合的最关键因素达成共识。所开发的工具是深入了解马来西亚医疗保健系统转型多维挑战的重要一步,为未来的实地工作和其他医院的更广泛应用提供了基础。