RESUMEN
Background: The COVID-19 pandemic prompted adjustments in education, raising concerns about students' competency achievement. Despite these changes, aspects like student engagement (SE), basic needs fulfillment (BNF), and stress levels (SL) in nursing students during community-based clinical practice remain understudied. Objectives: This study aims to examine the relationships between students' competencies achievement (SCA), student engagement, basic needs fulfillment, and stress levels among nursing students engaging in community-based clinical practice during the COVID-19 pandemic. Design: and Methods: A cross-sectional online survey was conducted with 451 nursing students from Indonesia, Malaysia, and India. Online questionnaires assessing SCA, SE, BNF, and SL were administered between November and December 2021. Results: The study involved 131 participants from Indonesia, 138 from Malaysia, and 182 from India, with an average age of 22.52. Multivariate analysis, employing linear regression revealed that across the three countries, online student engagement demonstrated the strongest association with SCA (B: 0.701; p-value: 0.0001). However, specific factors-stress levels, learning methods, and study year-showed greater relevance in Indonesia, India, and Malaysia, respectively. Conclusions: The COVID-19 pandemic significantly impacted nursing students' teaching and learning experiences during clinical practice. Enhancing online engagement between academic lecturers and students is imperative for attaining clinical competencies.
RESUMEN
Hemoglobin (Hb), a protein found within red blood cells, is responsible for transporting oxygen and carbon dioxide gasses. A low concentration of Hb indicates the existence of anemia. Traditional invasive Hb examination methods are accurate but have drawbacks, such as pain. A new approach, non-invasive photoplethysmography (PPG), addresses these issues and allows real-time Hb examination. In this article, the dataset consists of PPG signal, gender, age, and Hb value. The PPG signal was measured by a MAX30102 module sensor that emitted two types of light (red and infra-red light) and measured using a photodetector. Total of 68 subjects (56% female and 44% male) within the age of 18-65 years were collected. The total dataset is 816 data from 68 subjects, which each subject provides 12 sets of red and infra-red light signals. The data were collected at Primary Health Center Jatiuwung, Tangerang City, Banten 15,138, Indonesia. Researchers interested in anemia monitoring and those pursuing the development of non-invasive hemoglobin measurement based on machine learning can leverage this dataset.