BMF CP47: Examining the digital skills of nursing students in Indonesia and Thailand

Ni Putu Wulan Purnama Sari
Faculty of Nursing, Widya Mandala Surabaya Catholic University, East Java, Indonesia
http://orcid.org/0000-0002-8869-9607

August 11, 2023

*Special Acknowledgment: The data used in this study was kindly provided by the nursing team of the joint research project between Widya Mandala Surabaya Catholic University, East Java, Indonesia, and Saint Louis College, Bangkok, Thailand (July 2023).

Introduction

Our society is undergoing digital change. Dealing with digital technologies has become daily practice [1], even in nursing—many healthcare facilities are implementing digital technologies. Therefore, nurses should adapt to the advancement of digital health technologies to better serve their clients. As the largest workforce in health, nurses are well-positioned to lead an agile digital healthcare workforce [2], and nursing students are the future professional nurses who will be more exposed to this technological advancement.

The current study has three objectives, as mentioned below:

1. Compare the basic digital skills of nursing students in Bangkok and Surabaya.
2. Examine how information-processing skills in digital spaces affect the digital problem-solving skills among nursing students.
3. Examine how information-exchanging skills in digital spaces affect the digital problem-solving skills among nursing students.

The Ethical Committee of Saint Louis College, Bangkok, Thailand, has reviewed this study protocol with an ethical clearance registered certificate of E. 017/2565. The data collection procedure implemented ethical aspects of human subject protection, risk management, anonymity, confidentiality, beneficence, justice, and fidelity. Informed consent was given to all respondents before study participation [3].

Materials and method

The mindsponge theory was used in conceptual development [4]. Bayesian Mindsponge Framework (BMF) analytics was used for statistical analysis on a dataset of 476 and 179 student nurses (N = 655) in two private nursing institutions in Bangkok and Surabaya, respectively [5]. The dataset was collected and processed by the nursing team of a joint research project between Widya Mandala Surabaya Catholic University, East Java, Indonesia, and Saint Louis College, Bangkok, Thailand. The bayesvl R package, aided by the Markov chain Monte Carlo (MCMC) algorithm, was employed for statistical analyses [6]. For more information on BMF analytics, portal users can refer to the following book [7]. The data of this study will be provided upon reasonable request, while the code is available at the following repository: https://osf.io/6vztr/.

Findings

One of the study findings suggests that information processing and exchanging skills in digital spaces positively affect the problem-solving capabilities of nursing students using digital content (see Figure 1).



Figure 1. Coefficients’ posterior distributions

Research procedure

This project is NOT open for registration as the vacancy is full.

Project coordinator: Ni Putu Wulan Purnama Sari

A nursing team in the joint research project between Widya Mandala Surabaya Catholic University (East Java, Indonesia) and Saint Louis College (Bangkok, Thailand) have joined this project: Steven Aldo Marcello, Jintana Artsanthia, Sudarat Suvaree, and Numpueng Prachyakoon.

The research project strictly adheres to scientific integrity standards, including authorship rights and obligations [8], without incurring an economic burden at participants’ expenses [9].

References

[1] Hege I, et al. (2020). Digital skills in healthcare. GMS Journal for Medical Education, 37(6), Doc63.

[2] Woods L, et al. (2021). Intended use of the national nursing and midwifery digital health capability framework. Studies in Health Technology and Informatics, 276, 106-112.

[3] Sari NPWP, et al. (2023). Study Report: Digital Mindset, Literacy, and Skills in The VUCA Era of Nursing Students for Healthcare and Nursing Services. Surabaya, Indonesia: Faculty of Nursing, Widya Mandala Surabaya Catholic University.

[4] Vuong QH. (2023). Mindsponge Theory. De Gruyter.

[5] Nguyen MH, La VP, Le TT, Vuong QH. (2022). Introduction to Bayesian Mindsponge Framework analytics: An innovative method for social and psychological research. MethodsX, 9, 101808.

[6] La VP, Vuong QH. (2019). bayesvl: Visually Learning the Graphical Structure of Bayesian Networks and Performing MCMC with ‘Stan’. The Comprehensive R Archive Network.

[7] Vuong QH, Nguyen MH, La VP. (2022). The mindsponge and BMF analytics for innovative thinking in social sciences and humanities. De Gruyter.

[8] Vuong QH. (2018). The (ir)rational consideration of the cost of science in transition economies. Nature Human Behaviour, 2, 5.

[9] Vuong QH. (2020). Reform retractions to make them more transparent. Nature, 582, 149.