Article Per Year (5 Year)
p-Index From 2019 - 2024
0.408
P-Index
This Author published in this journals
All Journal The Indonesian Journal of Community and Occupational Medicine
Mikhael Yosia
MKK FKUI
Health Professions Medicine & Pharmacology

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Utilization of Predictive Models for Diagnosis of Occupational Diseases Eva Suarthana; Mikhael Yosia
The Indonesian Journal of Community and Occupational Medicine Vol. 1 No. 3 (2022): ijcom
Publisher : ILUNI MKK FKUI and PRODI MKK FKUI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53773/ijcom.v1i3.39.125-8

Abstract

Predictive models have long been used to assist clinical decision-making in medicine. Predictive models are made to estimate how likely a person is to have a disease (diagnostic model) or will experience a disease (prognostic model). In the field of occupational health, for example, diagnostic models can be used to increase the efficiency of surveillance programs by identifying groups of workers with occupational diseases without using complex and expensive diagnostic tests.Work-related asthma (WRA) is the most common occupational lung disease in industrialized countries and the second most common in developing countries. Around the world, especially in developing countries, diagnosing WRA is still difficult due to the limitations of available diagnostic tests. Specific inhalation challenge (SIC), the best test for diagnosing occupational asthma, is only available in several research centres worldwide.Several questionnaire-based models have been developed to diagnose work-related asthma at both the primary (general practitioner) and secondary (specialist) levels of care. A recent model for diagnosing occupational asthma was developed using data from Canada and has been validated using data from several European countries. A collaboration has been initiated to assess the application of this model among Indonesian workers.
Implementation and Preliminary Assessment of Workplace Post-Natal and Breastfeeding Support for Working Mothers Francoise Cardoso; Erika Wasito; Tonny Sundjaya; Ray Wagiu Basrowi; Mikhael Yosia
The Indonesian Journal of Community and Occupational Medicine Vol. 1 No. 3 (2022): ijcom
Publisher : ILUNI MKK FKUI and PRODI MKK FKUI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53773/ijcom.v1i3.40.162-73

Abstract

Breastfeeding is undoubtedly the best nutrition for infants. Even throughout the COVID-19 pandemic, more pregnant mothers intend to breastfeed their babies. Despite this desire, not all of them succeed in initiating breastfeeding. One of the overlooked challenges in breastfeeding is that working mothers need to return to work, increasing hesitancy to continue breastfeeding due to numerous inconveniences, leading to full breastfeeding cessation. Systematic changes are needed following simple and practical changes: giving access to knowledge on breastfeeding while working, sharing advice and support from employers and colleagues, and providing a breastfeeding-friendly workplace, all of which can increase breastfeeding rates in many countries. Improvement in breastfeeding habits would also bring greater impact as increases in working mothers’ wellbeing will increase their work performance. Danone has done several breastfeeding initiatives and post-natal support in workplaces which has shown a positive impact through preliminary evaluation included in this study. The corporate world has not fully supported breastfeeding, but some best practices and learning points shed from this study could become an example that would lead to better commitments from other companies.
Co-Authors Erika Wasito Eva Suarthana Francoise Cardoso Ray Wagiu Basrowi Tonny Sundjaya