Presentation of “Continuing Medical Education”
Faculty of Medicine, UGM is presenting a presentation of “Continuing Medical Education” at:
Day/Date : Friday, August 22, 2008
Time : 1 - 3 PM
Venue : Senate Meeting Room, KPTU 2nd Floor, FM UGM
Topic : 1. Neuro-behavior ( by dr. Ginus Partadiredja, M.Sc., Ph.D, Division of Physiology)
2. Neuro-toxicology (by Dr. dr. Sri Sutarni, Sp.S(K), Division of Neurology)
Contribution: Gratis
For further information, contact to Mr. Budiharto at 0274-560300 ext. 206.
GIS on Weekend: Part 1
GIS on weekend is a set of training of Geographic Information System Implementation (GIS) for Health with 4 sessions. The first session has been held on Saturday, August 2, 2008. The topic was “GIS Implementation for Health” with the speakers of Anis Fuad, DEA (Overview of Health GIS), Sugeng Harianto (GIS Tools: Epimap, EpiInfo), and Adi Widagdo (Introduction to GPS). At last, a case study was lead by Anis Fuad to learn about GIS throughout the existed cases.
GIS was an information system with current data for showing the location in map. Along with the recent technology development, GIS also has been developed on the basis of computer and can be applied on other sectors including the health sector.
GIS can be used to answers the following questions:
- What did happen in a place?
- Where was something?
- What changes have happen during ….to…?
- How was the distribution pattern of something?
- How if…?
In public health sector, GIS based-spatial analysis is used for:
- Disease controlling (vector mapping, disease cases, distance identification, case clustering/cause of sickness)
- Health program planning
- Health program monitoring and evaluation
- A suporrting tool for health personnel allocation
The GIS integrate various data, e.g. satellite data, aerial photograph, digital maps, tabular information, etc., then forming new information in thematic map.
Before making a thematic map, we should prepare the spatial data to show location of an area. Gathering spatial data, we can use a GPS (global positioning system), that is a satellite based-navigation system which informing definite position of a location in the earth. The GPS receiver can detect the 24 orbited-satellite signals upon the earth. By using distance measuring function, we can determine position of a location in the world.
After gathering spatial data from the GPS, so these data are processed by using GIS software such as Epimap, Quantum GIS, ArcView, etc. At last, it can produce a complete map with points of observed location.
GIS has several advantages for health sectors, particularly for spatial analysis which can support decision making corresponding to public health.
For the next session, the topic is Spatial Data for Mapping. The registration for the next training sessions is still opened. Just contact the SIMKES secretariat on (62)274 -549432.
General Lecture: Multimedia Application for Public Health
Major of Health Promotion and Behavior, Graduate program of Public Healt, UGM presents a General Lecture on:
Day/Date : Tuesday, August 5, 2008
Time : 10 AM - 12 PM
Venue : Theater Room, Library of Medicine Faculty, UGM
Speaker : KRMT. Roy Suryo Notodprojo, M.Kes
Topic : Aplikasi Multimedia Untuk Kesehatan Masyarakat
Contribution : Rp 50.000,00
RSVP: Miss Trias and Mr. Sarman (Telp. 551409), before August 4, 2008 at 12 PM.
From the Graduate Program’s Graduation Ceremony of July 2008, New Title of MPH for the SIMKES Scholars.
Thursday, Juli 24, 2008, Graduate Program of Gadjah Mada University held a graduation ceremony for July period. Among the 973 scholars who attended the ceremony, there were 3 scholars from SIMKES (Health Management Information System). They were Maman, MPH (from the Subang Health Office), Abdul Haris, MPH (from the Mataram Health Polytechnic), and Ni Nyoman Kristina, MPH (from the Bali Health Office). Nevertheless, Abdullah, MPH (from the East Aceh Health Office) could not attend the ceremony.
Interestingly, Ni Nyoman Kritina reached an achievement in which her research result about spatial analysis of Tuberculosis at Denpasar won the fifth best scientific posters (from the approximately 80 participants from Southeast countries) in the Third Annual Southeast Asian Influenza Clinical Research Network Conference at Bali on May 21 – 23, 2008. Hopefully, in the next time, the SIMKES students and alumni will have better achievements year by year.
Starts from this period, the SIMKES scholars receive the title of MPH (Master of Public Health) in their graduation ceremony (the previous title was M.Kes or Magister Kesehatan, ind term). It showed that SIMKES has been recognized globally and ready for international program. For the future, SIMKES will always make some innovations in learning activities so that students will receive the best education here.
Congratulation !!!!
General Lecture
Graduate Program of Public Health, UGM is presenting a General Stadium at:
Day/Date: Thursday, 24 July 2008
Time: 3 - 5 PM
Venue: Auditorium II, Faculty of Medicine, UGM (tentative)
Speakers: Prof. Dr. Mark Nichter, MPH, Ph.D., Miriam Nichter, MPH., Dr. Myra Muratomo, MPH.
Topic: Harm Reduction as A Research Agenda
The general lecture is free for the lecturers and graduate student of public health at UGM. RSVP to Mr. Suyitmo Legowo, not later than Wednesday, 23 July 2008, 12 PM.
“GIS on Weekend” Training
SIMKES UGM presents:
GIS on Weekend
TRAINING IN IMPLEMENTING THE GEOGRAPHIC INFORMATION SYSTEM (GIS)
FOR PUBLIC HEALTH
2, 9, 16. dan 23 AUGUST, 2008
Radioputro Building, Faculty of Medicine, UGM Yogyakarta
Training Schedule
|
Time |
Topic |
Subject |
|
2 Agustus ’08 08.00 – 15.00 wib |
GIS implementation on health sector |
1. Overview of GIS on health sector 2. GIS Tools (Epimap/EpiInfo, Geoda) 3. Introduction to GPS 4. Case study |
|
9 Agustus 2008 08.00 – 15.00 wib |
Introduction to spatial data for health mapping |
1. The types and use of spatial data 2. Perceived data from the GPS 3. How to gather the data (vector, digitation) 4. Google Earth I 5. Case study |
|
16 Agustus 2008 08.00 – 15.00 wib |
Tematic mapping |
1. How to make health tematic map (by using Epimap, Geoda) 2. Arc view virtual campus 3. Mapping 4. Google Earth II 5. Case study |
|
23 Agustus 2008 08.00 – 15.00 wib |
Analyses of spatial data |
1.Data analyses of Geoda 2. Data analyses with environment as the determinant 3. Google Earth III 4. Case study |
Instructors:
Prof. dr. Hari Kusnanto, Dr.PH. (Director of Public Health Graduate Program, Faculty of Medicine UGM)
Anis Fuad, DEA. (Lecturer at SIMKES UGM, Consultan of Health Information System)
Sunardi, M.Kes (Staff of Sukoharjo Health Office)
Sugeng Hariyanto (Programmer at SIMKES UGM)
Adi Widagdo (Reseacher at Centre of Natural Disaster Study, UGM)
Training contribution:
|
Number of meeting |
Public |
Graduate Student |
Undergraduate Student |
|
1x |
Rp 250.000,- |
Rp 200.000,- |
Rp 125.000,- |
|
2x |
Rp 450.000,- |
Rp 350.000,- |
Rp 200.000,- |
|
3x |
Rp 650.000,- |
Rp 500.000,- |
Rp 275.000,- |
|
4x |
Rp 850.000,- |
Rp 650.000,- |
Rp 350.00 |
NB.
- The participant can attend to one or several meetings.
- 10% discount for the participants who bring their own laptop.
Further Information, click here to download the leaflet and registration form.
Contact person: Estu / Nia
Minat Sistem Informasi Manajemen Kesehatan UGM
IKM Building, 3rd floor
Jln. Farmako Sekip Utara Yogyakarta 55281
Telp/fax: 0274 - 549432
Spatial Analysis of Post-Tsunami Malaria Cases at Johan Pahlawan Distrct, West Aceh
ABSTRACT
Abdullah, Hari Kusnanto, Anis Fuad
Background: Johan Pahlawan was one of districts in the area of West Aceh which experienced tsunami on Desember 26, 2006. After the disaster, it was predicted the increasing of various disease because of water, density, food emergency, and improper housing. The tsunami caused the increasing of sea water to the land as ± 3 kilometers, and the impact was water precipitations on the holes which have existed before the tsunami and also which created at the tsunami happened. Those places became new places for the anopheles mosquito grew. It was reported the increasing number of malaria incidents in the post-tsunami evacuation area, so that it needed geographical mapping of malaria cases.
Objectives: This study aimed to find out the malaria incidents post-tsunami disaster and the correlation of malaria incidents in tsunami experienced areas and non-tsunami experienced areas.
Methods: This was an analytical study with cross sectional approach. Sample for this study was all malaria incidents in Johan Pahlawan District, West Aceh during 2005 and 2006. The coordinate points of patients’ addresses were taken by using the Global Positioning Service (GPS).
Results: The results showed that correlations between malaria incidents and the use of land were as follows: the residential areas p = 0.965 in 2005 and p = 0.447 in 2006 (p > 0.05); the agriculture areas p = 0.00004 in 2005 and p = 0.0007 in 2006 (p < 0.05); the fishpond/pool areas p = 0.503 in 2005 and p = 0.953 in 2006 (p > 0.05), the rice field areas p = 0.0002 in 2005 and p = 0.001 (p < 0.05), the swamp areas p = 0.414 in 2005 and p = 0.929 in 2006 (p > 0.05) , and the wild jungle p = 0.074 in 2005 and p = 0.311 in 2006 (p > 0.05). The differences of malaria incidents in the tsunami experienced areas and non-tsunami experienced areas were t = -0.213, p = 0.833 in 2005 and t = 0.893, p = 0.383 in 2006 (p > 0.05).
Conclusion: The distribution patterns of malaria cases in Johan Pahlawan were correlated to the use of agriculture areas and rice field areas; meanwhile, they were not related to the use of pool areas, wild jungle, and residential areas. There were no differences between malaria prevalence in tsunami experienced areas and non-tsunami experienced areas.
Keywords: Malaria incidents, GIS, post-tsunami, the use of land.
Inhibiting Factors in Implementing the Local Area Network (LAN)-Based Health Profile Management Information System at Subang District Health Office in 2006
Maman, Eko Nugroho, Anis Fuad
ABSTRACT
Background: Management Information System of Health Profile based on Local Area Network (LAN) at Subang District Health office is an information system based on LAN which provides health information in form of health profile. The implementation of health profile management information system at Subang District Health Office from 2003 to 2006 had not delivered significant support because it did not work well.
Objective: This study aimed to identify the inhibiting factors in implementing LAN-based health profile management information system at District Health Office of Subang.
Method: This was a case study on the implementation of LAN-based health profile management information system at District Health Office of Subang. The data were gathered through observation, focus group discussion and in-depth interview.
Results: The result showed that LAN-based health profile management information system of Subang District Health Office did not work. From the technical aspect, the inhibiting factor was network connection problem, not because of the hardware abilities. The inhibiting factor from software aspect was incomplete installation for several computers. The other inhibiting factor came from database aspect in which the database could not be accessed. Last, the inhibiting factors from non-technical aspects were: no current team of technical staff, low quality and motivation of the human resources as the users, no operational procedure, no organizational structure, poor project management, the developer was fail to synchronize the health profile management information system and the previous system, and changing of building’s physical structure and health profile tables.
Conclusion: LAN-based health profile management information system of Subang District Health Office did not work well due to technical inhibiting factors (hardware, software, and database) and non-technical inhibiting factors.
Keywords: Health management information system, Local Area Network, case study
Evaluation of Paramedic Education Information System Implementation toward Policy Making at the Mataram Health Polytechnic
ABSTRACT
A. Haris, Hari Kusnanto
Background: Health Polytechnic is technical manager unit for professional education in diploma degree which has functions of developing professional education, research, and community service, developing of civitas academica and administrative matters. The paramedic education information system (PEIS) is education management and information system applied in the Mataram Health Polytechnic and there are some boundaries and limitations during the implementation. Poor integration of data and information distribution and lack of trained human resources in managing the PEIS arise information system of activity report for internal and external affair is run separately. The intranet network has not connected yet so that each department and study program has their own information system in activity report. This problem brings negative impact to the information quality of the PEIS in supporting policy making about education management at the Mataram Health Polytechnic.
Objectives: This study aimed to identify the PEIS implementation, the quality of information, and its benefits for policy management at Mataram Health Polytechnic.
Methods: This study used descriptive-qualitative method with case study approach. This method was used to identify problems during the PEIS implementation based on field collecting analysis, and to describe the actual problems at the Mataram Health Polytechnic.
Results: Components of the PEIS were quite representative in policy making at Mataram Health Polytechnic. However, the implementation was not optimal then resulted incomplete and inaccurate information. Beside that, this raised several problems which derived from inattention of human resources to utilize the PEIS. Unclear procedures in data and information management caused system in departments, study program and polytechnic run vertically and separately. The impact was low quality of information that was used in policy making and management.
Conclusion: Policy making and management at the Mataram Health Polytechnic have not used information from the PEIS optimally yet because of the low information quality.
Keywords: Evaluation, Implementation of Paramedic Education and Information System, Information Quality, Policy.
Application of Geographic Information System into Spatial Model of Tuberculocis Cases at Depansar in the Year Of 2007
ABSTRACT
Ni Nyoman Kristina, Hari Kusnanto, Anis Fuad
Background: At Province of Bali, the contagious diseases which should be alerted are the new emerging diseases and re-emerging diseases. To cover this problem, the government has developed ten national priority programs and one of them is GERDUNAS (Gerakan Terpadu Nasional) Tuberculosis. Refer to this problem, the researcher would describe several aspects which influenced the prevalence of tuberculosis (TB), such as density, poverty, urban status, and the distance to healthcare facilities. This model suggested spatial model to determine the susceptible area of TB at Denpansar.
Objectives: This study was aimed to find out the benefits of spatial model in determining level of susceptible area to TB, to find out the relationship between density and TB cases, and also to find out the association of TB clustering in the poor area, urban clusters at Denpansar, and distance to the healthcare facilities with the benefit of spatial model in improving management of TB control at the high endemic area.
Method: This study was an observational research with cross sectional approach. Data analysis used software of Geoda and SatScan for the GIS process.
Results: There was correlation between TB cases and poverty (z = = 3,502, p = 0.0004). Meanwhile density (z = -1,529, p = 0.126) and urban status (z = -1.113, p = 0.909) were not related to TB cases. The chi-square analysis also showed that there was no correlation between TB cases and distance to the healthcare facilities (x2 = 0.21, p = 0.65). Analysis of spatial dependency with Moran’s test showed the value of 0.670 (p = 0.412).
Conclusion: TB cases correlated to poverty significantly, and have no correlation with density, urban status, and distance to the healthcare facilities. Spatial distribution pattern of TB did not follow any specific pattern. Clustering of TB tended to exist in poverty area and spread following the direction of road.
Keywords: Geographic Information System, Spatial Model, Smear (+) TB