Applying Data Mining to Develop a Short Version of The Public Health Informatics Competencies for Primary Health Care (PHIC4PHC) Questionnaire

DOI

10.2991/978-94-6463-421-1_2How to use a DOI?

Keywords

Primary Health Care; Digital Health Literacy; Questionnaire

Abstract

The successful integration of digital technology in the healthcare sector frequently encounters obstacles due to various factors, mainly when patients are involved, and the other is the competency of health workers. The previous research developed a questionnaire to measure public health informatics competencies (PHIC4PHC) consisting of 4 main categories or domains: cognitive proficiency, technical proficiency, ethical proficiency, and health information literacy. It consisted of 42 questions. There is a need to design a shorter version of the Public Health Informatics Competencies for Public Health Practitioners (PHIC4PHC) assessment tool that can effectively measure capabilities in the field of public health informatics with the same precision. This study extensively describes the methodology employed in developing a condensed version of the PHIC4PHC questionnaire, utilizing feature selection techniques from a data mining approach. The dataset was explored using RapidMiner studio version 9.1. This study utilized an optimization function by employing a feature selection operator in RapidMiner. The study employed a range of characteristics to achieve the highest level of accuracy in the classification. Specifically, 8 to 15 questions were selected as the target experiments for the model. This study proposed a questionnaire called PHIC4PHC-S12Q, which consists of 12 features. The model PHIC4PHC-S12Q was selected due to its fulfillment of the primary indicator and the inclusion of all indicators in ethical proficiency, distinguishing it from other models from experiment results. Future studies need to conduct the confirmatory factor analysis to compare the model construct by data mining technique.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Enny Rachmani
AU  - Evina Widianawati
AU  - M. G. Catur Yuantari
AU  - Respati Wulandari
AU  - S. Hanif Pandu
PY  - 2024
DA  - 2024/05/22
TI  - Applying Data Mining to Develop a Short Version of The Public Health Informatics Competencies for Primary Health Care (PHIC4PHC) Questionnaire
BT  - Proceedings of the International Seminar and Workshop Public Health (ISWHOPHA 2023)
PB  - Atlantis Press
SP  - 5
EP  - 16
SN  - 2468-5739
UR  - https://doi.org/10.2991/978-94-6463-421-1_2
DO  - 10.2991/978-94-6463-421-1_2
ID  - Rachmani2024
ER  -