ORCID Profile
0000-0002-5647-5721
Current Organisations
University of Southampton
,
Taipei Medical University
,
Universitas Airlangga
,
Universitas Airlangga Fakultas Keperawatan
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Publications
The determinants of willingness to care for people living with HIV‐AIDS: A cross‐sectional study in Indonesia
Publisher: Hindawi Limited
Date: 27-02-2021
DOI: 10.1111/HSC.13318
Factors Associated with National Health Insurance Coverage in Indonesia
Publisher: F1000 Research Ltd
Date: 14-09-2022
DOI: 10.12688/F1000RESEARCH.53672.2
Abstract: Background: The National Health Insurance (NHI) program is the Indonesian government's national health program. However, health insurance coverage has not been maximized. This study aims to analyze the factors associated with health insurance coverage in Indonesia. Methods: Retrospective cross-sectional data were obtained from the Indonesian Demographic and Health Survey 2017. A total of 39,580 respondents were selected using two-stage stratified cluster s ling. The data come from the DHS Questionnaire Phase 7. In this study, we explored age, education level, wealth quintiles, residence, the number of children who are alive, marital status, current employment status, earnings, and health insurance status in relation to health insurance coverage. Then, we analyzed the data using chi-squared and binary logistic analyses. Results: The prevalence of health insurance coverage in the Indonesian population is 62.3%. Respondent aged 15-24 years [AOR=0.88 95% CI=0.77-1.00], secondary education level [AOR=0.44 95% CI=0.41-0.47], poorer wealth index [AOR=0.76 95% CI=0.71-0.82], live in rural area [AOR=0.78 95% CI=0.75-0.82], orced [AOR=0.72 95% CI=0.63-0.83] were less likelihood to have health insurance. Conversely, the respondent who received earnings [AOR=1.25 95% CI=1.18-1.32] was more likely to have health insurance. Conclusion: This finding pointed to education level, economic status, and demographic area such as respondents who lived in rural areas should more pay attention to NHI. Intervention through the provision of appropriate information about NHI should be promoted.
Blind testing of shoreline evolution models
Publisher: Springer Science and Business Media LLC
Date: 07-02-2020
DOI: 10.1038/S41598-020-59018-Y
Abstract: Beaches around the world continuously adjust to daily and seasonal changes in wave and tide conditions, which are themselves changing over longer time-scales. Different approaches to predict multi-year shoreline evolution have been implemented however, robust and reliable predictions of shoreline evolution are still problematic even in short-term scenarios (shorter than decadal). Here we show results of a modelling competition, where 19 numerical models (a mix of established shoreline models and machine learning techniques) were tested using data collected for Tairua beach, New Zealand with 18 years of daily averaged alongshore shoreline position and beach rotation (orientation) data obtained from a camera system. In general, traditional shoreline models and machine learning techniques were able to reproduce shoreline changes during the calibration period (1999–2014) for normal conditions but some of the model struggled to predict extreme and fast oscillations. During the forecast period (unseen data, 2014–2017), both approaches showed a decrease in models’ capability to predict the shoreline position. This was more evident for some of the machine learning algorithms. A model ensemble performed better than in idual models and enables assessment of uncertainties in model architecture. Research-coordinated approaches (e.g., modelling competitions) can fuel advances in predictive capabilities and provide a forum for the discussion about the advantages/disadvantages of available models.
The Optimization of HIV Testing in Eastern Indonesia: Findings from the 2017 Indonesian Demographic and Health Survey
Publisher: MDPI AG
Date: 14-03-2022
DOI: 10.3390/HEALTHCARE10030533
Abstract: There is a concerning increase in human immunodeficiency virus (HIV) incidence in eastern Indonesia. HIV testing rates in this area are the lowest in the country. This study aimed to analyze the determinants of HIV testing in the Public Health Centers (PHCs) in eastern Indonesia. A cross-sectional study design was utilized using secondary data from the 2017 Indonesian Demographic and Health Survey (IDHS). We focused the survey on eastern Indonesia (Sulawesi, Maluku, and Papua) with PHC settings. After we weighted and removed missing data, we obtained 2118 surveys (425 males and 1693 females aged 14–54 years). Chi-square and binary logistic regression were used to analyze the determinants of HIV testing optimization in eastern Indonesia with a significance level of p 0.05. The HIV testing coverage at the PHCs in eastern Indonesia was found to be 28.28%. From the survey, we found that respondents from the province of Papua (AOR: 1.45 95% CI: 1.09–1.91), those who were female (AOR: 2.37 95% CI: 1.75–3.12), and those with more information on HIV (AOR: 1.88 95% CI: 1.41–2.51) were more likely to undergo HIV testing at the PHCs. Meanwhile, the wealthiest respondents (AOR: 0.61 95% CI: 0.42–0.89) and the respondents who engaged in the perpetuation of stigmatization (AOR: 0.65 95% CI: 0.42–1.02) were less likely to undergo HIV testing at the PHCs. The coverage of HIV testing in eastern Indonesia needs special attention from the Indonesian government. Increasing equity, distributing information regarding HIV and acquired immunodeficiency syndrome (AIDS) through social media, and creating accessible HIV testing in rural areas are vital for developing appropriate interventions.
VNursLab 3D Simulator: A Web-Based Nursing Skills Simulation of Knowledge of Nursing Skill, Satisfaction, and Self-Confidence among Nursing Students
Publisher: MDPI AG
Date: 19-04-2022
DOI: 10.3390/SU14094882
Abstract: The use of technology-based learning methods in nursing education is necessary in the era of digitalization, but these methods are limited, especially in developing countries, including Indonesia. We aimed to evaluate the effectiveness of the Virtual Nursing Skills Simulation Lab (VNursLab), a web-based nursing skills simulation using 3D technology, to improve the knowledge of nursing skills for intravenous catheterization, satisfaction, and self-confidence of nursing students in Indonesia. A quasi-experimental design was used. A total of 139 nursing students participated and were ided into intervention and control groups (69 and 70 participants, respectively). The intervention group had access to the VNursLab 3D simulator for three weeks and had three meetings. The control group had traditional learning (lecture and three meetings). The data were analyzed using the paired t-test, Wilcoxon test, and Mann–Whitney U test. The means and standard deviations of the post-test values in the two groups for the three parameters were 12.26 + 4.11 vs. 9.67 + 3.13 for nursing skill knowledge, 23.00 + 2.32 vs. 21.70 + 2.68 for satisfaction, and 36.25 + 3.48 vs. 34.96 + 3.39 for self-confidence. We found significant differences between the intervention and control groups regarding knowledge of nursing skills (p 0.001), satisfaction (p 0.001), and self-confidence (p = 0.014). The VNursLab 3D simulator could be an alternative learning medium to improve nursing students’ understanding of nursing skills, satisfaction, and self-confidence. However, this medium cannot replace direct practical experience. A combination of the two learning methods, virtual-based learning and hands-on practical learning, is beneficial in helping nursing students achieve nursing competencies.
Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021
Publisher: Elsevier BV
Date: 07-2023
Five Cs as reflective learning attitude among Philippines nursing students
Publisher: Universitas Airlangga
Date: 30-10-2022
Abstract: Introduction: Philosophical viewpoints from the first-hand source regarded as the best inception of COVID-19 knowledge are not widely explored. Humanity’s understanding grounded on experiences becomes substantial only when stringent documentation of any events is performed carefully. COVID-19 as a phenomenon and as an ongoing struggle has myriad global impacts hence the study aims to explore the understanding of nursing students’ stances regarding the COVID-19 pandemic in their daily life. Methods: The study used a qualitative study design with online survey. A total of 41 nursing students were recruited through total s ling technique. The study was conducted to students in a university in the Philippines. Interview guidelines used open questions and were spread online. The data were subjected to thematic analysis. Results: The thematic analysis revealed five organizing themes, such as communication, commitment, care, collaboration, and change. Those themes were found among nursing students’ stance regarding the COVID-19 phenomenon. Conclusions: The communication, commitment, care, collaboration, and change as development of a crisis-induced framework from study findings satisfies the essential finding that the pandemic is likewise giving rise to a new normal. Moreover, the results assist nursing students and other health-inspired domains to effectively maintain positivity amidst catastrophic climates.
Factors Associated with National Health Insurance Coverage in Indonesia
Publisher: F1000 Research Ltd
Date: 14-07-2021
DOI: 10.12688/F1000RESEARCH.53672.1
Abstract: Background: The National Health Insurance (NHI) program is the Indonesian government's national health program. However, health insurance coverage has not been maximized. This study aims to analyze the factors associated with health insurance coverage in Indonesia. Methods: Cross-sectional data were obtained from the Indonesian Demographic and Health Survey 2017. A total of 39,580 respondents were selected using two-stage stratified cluster s ling. The data come from the DHS Questionnaire Phase 7. The variables include age, education level, wealth quintiles, residence, the number of children who are alive, marital status, current employment status, earnings, and health insurance status. The data were analyzed using chi-squared and binary logistic analyses. Results: The prevalence of health insurance coverage in the Indonesian population is 62.3%. Respondent age [AOR=0.875 95% CI=0.763-0.967], education level [AOR=0.437 95% CI=0.410-0.466], wealth quintile [AOR=0.762 95% CI=0.713-0.815], residence [AOR=0.762 95% CI=0.713-0.815], marital status [AOR=0.718 95% CI=0.625-0.825] and earnings [AOR=1.245 95% CI=1.177-1.316] are related to health insurance coverage. However, the number of children who are alive and respondents who were currently working were not significantly related to health insurance coverage in Indonesia. Conclusion: The government needs to pay attention to the characteristics and demographic conditions of the Indonesian population to be able to achieve maximum health insurance coverage. Maximum coverage through the provision of appropriate information should be promoted.
Related Organisations
University Of Southampton
Location: United Kingdom of Great Britain and Northern Ireland
Related Funding Activities
No related grants have been discovered for Hidayat Arifin.