User acceptance of the DHIS2 platform for Malaria Case-based Surveillance in Botswana (Preprint)

2021 ◽  
Author(s):  
Kagiso Ndlovu ◽  
Kabelo Leonard Mauco ◽  
Mpho Keetile ◽  
Kadimo Khutsafalo ◽  
Refilwe Yvonne Senyatso ◽  
...  
Keyword(s):  
Technology Adoption ◽  
Technology Acceptance ◽  
Malaria Case ◽  
Health Information System ◽  
Healthcare Setting ◽  
User Acceptance ◽  
District Health ◽  
Ministry Of Health ◽  
Case Based ◽  
Health Districts

BACKGROUND Botswana, like many developing countries, has identified eHealth as a means of improving healthcare service provision and delivery. The National Malaria Programme (NMP) in Botswana has implemented the District Health Information System version 2 (DHIS2) to support timely Malaria case reporting across its 27 health districts. Despite the potential benefits of the DHIS2 platform towards improving Malaria case-based surveillance in Botswana, it must be noted that implementation of any eHealth system is never without challenges. Barriers to the implementation of eHealth innovations within the healthcare setting may arise at the individual or organizational levels. As such, evaluating perceptions of the intended users about the technology is an important step that could inform the sustainable implementation of eHealth systems. Nonetheless, the implementation of DHIS2 for Malaria case-based surveillance in Botswana was undertaken without prior user perception evaluation, living the Botswana Ministry of Health and Wellness with uncertainty regarding the likely or unlikely acceptance and use of the DHIS2. Hence this study employed the Technology Acceptance Model (TAM) to understand the DHIS2 user perceptions and potential issues around the system acceptance and usability. OBJECTIVE This study used TAM to evaluate the user acceptance of the DHIS2 platform for Malaria case-based surveillance in Botswana. METHODS The study approach, as well as the data collection, were informed by constructs underlying the TAM. Survey and focus group discussions were undertaken with 32 participants (27 DHIS2 core users across 27 health districts and five Malaria Program personnel at the Ministry of Health). RESULTS Overall, positive responses across all TAM constructs were recorded. However, participants also noted some organizational-related issues that could compromise user acceptance of the DHIS2 platform. CONCLUSIONS According to TAM, participants’ responses indicate their acceptance of DHIS2 platform. However other models used to predict technology adoption and based on varying theories also exist. As such based on the findings from this study alone, we cannot conclusively predict successful adoption of DHIS2 towards Malaria case-based surveillance in Botswana. The authors propose organizational readiness as a better predictor of technology adoption. CLINICALTRIAL NA.

scholarly journals Technology Adoption in Small-Medium Enterprises based on Technology Acceptance Model: A Critical Review

2021 ◽  
Vol 7 (2) ◽  
pp. 162
Author(s):  
Adisthy Shabrina Nurqamarani ◽  
Eddy Sogiarto ◽  
Nurlaeli Nurlaeli
Keyword(s):  
Technology Adoption ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Critical Review ◽  
User Acceptance ◽  
Wide Range ◽  
Acceptance Model ◽  
Small Medium Enterprises ◽  
Medium Enterprises ◽  
Relevant Factors

Background: Technology acceptance model (TAM) has been extensively used to analyse user acceptance of technologies adopted by enterprises at different levels. Moreover, the technology adoption has drawn attention among practitioners and academic communities alike, leading to the development of approaches to understand the concept. However, there is a degree of inconsistency found in previous studies on different types of TAM models used in explaining user acceptance of technologies among small-medium enterprises (SMEs).Objective: This critical literature review aims to synthesise the technology adoption scholarly studies using TAM. It is expected to aid the identification of the most relevant factors influencing SMEs in adopting technology. Additionally, analysing the variations of TAM developed in previous studies could provide suggested variables specific to the type of technology industry.Methods: An integrated approach was used, and this involves a review of articles on the adoption of technologies in SMEs from 2011 to 2021, retrieved from popular databases using a mixture of keywords such as technology acceptance model (TAM), technology adoption, and technology adoption in SMEs.Results: An overview of TAM studies on user acceptance of technology in this review covers a wide range of research areas from financial technology to human resource management-related technology. Perceived usefulness and perceived ease of use were discovered to be the most common factors in TAM from the 21 articles reviewed. Meanwhile, some other variables were observed such as context, type of technology and level of user experience.Conclusion: The review highlights key trends in previous studies on IT adoption in SMEs, which assist researchers and developers in understanding the most relevant factors and suitable TAM models in determining user acceptance in a particular field. Keywords: Technology Acceptance Model, Technology Adoption, Small-medium Enterprises, Critical Review

scholarly journals Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study

2021 ◽  
Vol 45 (4) ◽  
Author(s):  
Stefanie Jauk ◽  
Diether Kramer ◽  
Alexander Avian ◽  
Andrea Berghold ◽  
Werner Leodolter ◽  
...  
Keyword(s):  
Machine Learning ◽  
Mixed Methods ◽  
Technology Acceptance ◽  
Health Care Professionals ◽  
User Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Actual System ◽  
System Use ◽  
Delirium Management

AbstractEarly identification of patients with life-threatening risks such as delirium is crucial in order to initiate preventive actions as quickly as possible. Despite intense research on machine learning for the prediction of clinical outcomes, the acceptance of the integration of such complex models in clinical routine remains unclear. The aim of this study was to evaluate user acceptance of an already implemented machine learning-based application predicting the risk of delirium for in-patients. We applied a mixed methods design to collect opinions and concerns from health care professionals including physicians and nurses who regularly used the application. The evaluation was framed by the Technology Acceptance Model assessing perceived ease of use, perceived usefulness, actual system use and output quality of the application. Questionnaire results from 47 nurses and physicians as well as qualitative results of four expert group meetings rated the overall usefulness of the delirium prediction positively. For healthcare professionals, the visualization and presented information was understandable, the application was easy to use and the additional information for delirium management was appreciated. The application did not increase their workload, but the actual system use was still low during the pilot study. Our study provides insights into the user acceptance of a machine learning-based application supporting delirium management in hospitals. In order to improve quality and safety in healthcare, computerized decision support should predict actionable events and be highly accepted by users.

scholarly journals Implementation of Augmented Reality for Earth Layer Structure on Android Based as a Learning Media

2020 ◽  
Vol 4 (1) ◽  
pp. 11-22
Author(s):  
Deli Deli
Keyword(s):  
Augmented Reality ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Elementary School Children ◽  
Layer Structure ◽  
3D Models ◽  
User Acceptance ◽  
Acceptance Test ◽  
Acceptance Model ◽  
User Assessment

Implementation of Augmented Reality for Earth Layer Structure on Android Based as A Learning Media isa research that aims to help in presenting material to Elementary School children. The research methodchosen in the completion of this study uses the 4D method (Define, Design, Develop and Disseminate) witha data collecting method using Technology Acceptance Model (TAM) built one construct with threedimensions of user assessment level of technology acceptance to support the basis of questionnaire design.AR design supported by 3D models, in order to be able to support the details of each explanation of thematerial contained, thus helping users to understand the material and ease of interaction on the media.The final result obtained in this research is that the application is stated to be able to help the school, it is used as a media display in the classroom so students do not need to imagine themselves, but simply byusing learning media is able to present the material to students.Keywords: Learning Media, 4D Method, User Acceptance Test, Augmented reality, Android.

Evaluation of South African Universities’ Web Portal Interfaces using a Triangulation of Ubiquitous Computing Evaluation Areas and Technology Acceptance Model

2014 ◽  
pp. 150-172 ◽  
Author(s):  
Vathiswa M. Booi ◽  
George E.M. Ditsa
Keyword(s):  
Ubiquitous Computing ◽  
Technology Acceptance ◽  
South African ◽  
Technology Acceptance Model ◽  
User Acceptance ◽  
Web Portal ◽  
User Friendliness ◽  
South African Universities ◽  
Huge Impact ◽  
Acceptance Model

There are growing concerns over the user friendliness and other usability issues of South African Universities’ Web Portal Interfaces (UWPIs), which obviously will negate the user acceptance of the UWPIs. The main goal of this study is to develop a framework that could be used to evaluate and provide additional guidelines to improve the Usability and User Acceptance of South African UWPIs. The study applies a triangulation of Ubiquitous computing Evaluation Areas (UEAs) and the Technology Acceptance Model (TAM) as theoretical foundations to derive the research model. Multiple regression and stepwise regression analyses are used. The results suggest that Interaction and Invisibility of UWPIs are the most important measures that have a huge impact on user acceptance and usability, respectively. The results of the study provide guidelines for the design and development of South Africa UWPIs to meet their usability and user acceptance.

An Examination of Factors Associated with User Acceptance of Social Shopping Websites

2013 ◽  
pp. 28-45
Author(s):  
Jia Shen ◽  
Lauren B. Eder
Keyword(s):  
Technology Acceptance ◽  
Social Engagement ◽  
Strong Support ◽  
User Acceptance ◽  
Perceived Usefulness ◽  
Theoretical Development ◽  
Future Research ◽  
Social Commerce ◽  
Social Shopping ◽  
Acceptance Model

Social commerce is the latest development in e-commerce to combine the power of online social networking with shopping. While the adoption of information technology is well studied, new theoretical development is needed to account for the specific characteristics of social commerce applications and their interactions with the user. This study examines factors that are associated with user acceptance of social shopping websites, which are sites designed specifically to support social interactions while users shop. This paper augments the Technology Acceptance Model with constructs that enhance the specificity of the model to the social shopping application of social commerce, including social comparison, social engagement, enjoyment as well as perceived ease of use and perceived usefulness. The model was empirically tested, and the results provided strong support. Implications and directions for future research are also discussed.

User Acceptance of Mobile Services

2008 ◽  
pp. 102-121 ◽  
Author(s):  
Eija Kaasinen
Keyword(s):  
Technology Acceptance ◽  
Field Trials ◽  
Mobile Services ◽  
User Acceptance ◽  
Ease Of Use ◽  
Evaluation Framework ◽  
Personal Mobile Devices ◽  
Interactive Services ◽  
Set Up ◽  
Acceptance Model

Personal mobile devices are increasingly being used as platforms for interactive services. User acceptance of mobile services is not just based on usability but includes also other interrelated issues. Ease of use is important, but the services should also provide clear value to the user and they should be trustworthy and easy to adopt. These user acceptance factors form the core of the Technology Acceptance Model for Mobile Services introduced in this chapter. The model has been set up based on field trials of several mobile services with altogether more than 200 test users. The model can be used as a design and evaluation framework when designing new mobile services.

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