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1. Introduce yourself about your background, what kind of work you are doing that related to statistics.
I’m working as National Consultant at HMIS(Health Management Information System) unit, Ministry of Health and Sport (MOHS) Myanmar. My work is to provide technical support to HMIS and provide training to all personal who use electronic recording/reporting system (e.g DHIS2, OpenMRS).
2. Have you ever learned or applied statistics in your work related to data analysis or statistical analysis. Please share your experience.
NO, I still don’t have experiences on statistics so elicited to learn and practice. -
column( X) is not logical or a factor. Discretize the columns first.
There are two methods for it. One is as off @Thanachol.
Second is
afi$X <- discretize(afi$X) then you can create transactions
trans <- as (afi,”transactions”)Or for this data only. You can remove with index because it should not include in analysis (X is just serial number).
You can do it by indexing. It will not raise any error during transactions.
tarns <- as (afi[,-1], “transactions”) -
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1. Author interested in this paper because suicide rate is rising since 2011, at higher than 6 suicides per 100,000 inhabitants.
2. I would like to pick ‘Household income’ as one variable which contribute to suicide rate. INCOME regression result has 0.01 coefficient in model1 and 0.008 in model2 which was very significant.
3.Statistical modeling provide understanding of the underlying mechanisms which influence the causes of rising suicide rate in Thai.The principal objective of many epidemiologic studies is to evaluate association between exposure to a single risk factor or a cause, and the occurrence of a specific disease or a disorder. -
Please kindly see this new link https://bit.ly/3eZUUz5 . First link is not working.
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Map is very helpful to view data globally and It act as a good slicer too. We just click on the map and related shows up.
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PyaePhyoAung
Please kindly see this new link
<iframe width=”800″ height=”600″ src=”https://app.powerbi.com/view?r=eyJrIjoiMWJkNjI4ZWMtNjE3My00ZjFiLWI4YmMtMzE4Nzk2NTk2NjU3IiwidCI6ImE1NjYxYjU3LTQ3ZDItNDNlNC04MGFhLWYxNzcwMTZhNTJmYiIsImMiOjEwfQ%3D%3D” frameborder=”0″ allowFullScreen=”true”></iframe> -
PyaePhyoAung_Powerbi
<iframe width=”933″ height=”700″ src=”https://app.powerbi.com/view?r=eyJrIjoiMDM2M2Y4ODMtMmU5Ni00MGRiLWFmOGQtY2Q2ZjE1MjdhZmE0IiwidCI6ImE1NjYxYjU3LTQ3ZDItNDNlNC04MGFhLWYxNzcwMTZhNTJmYiIsImMiOjEwfQ%3D%3D” frameborder=”0″ allowFullScreen=”true”></iframe> -
I would like to share this dashboard https://app.klipfolio.com/published/70984856a0c2417c7e788aa9c8259106/covid19-global-cases
Dashboard show many types of data visualization. It has bar chart, global map, and even table data.
Every one can filter data and visualized as we want. If we select specific country data, it link to John Hopkins University CSSE live dashboard, showing data of selected country.But it is not as easy as other dashboard to read. May be all the visualization and analyzed data are not meant for general population.
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Hi Chalermphon,
Presentation is great with exact 12 minutes which is very difficult to create for me. But I think 360p quality is bit low resolution. There are lagged of voices in your video may be due to quality.According to your paper, both pneumonia and influenza had better correlation coefficient with temperature.
Temperature is one of the most important factor affecting the virus survival.We have weather forecast and can get temperature and other factors from forecast.
Is it possible to built a dashboard to estimate the probability of respiratory disease with forecast data that might help the health authorities to make prevention?
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week4 JC presentation.
https://drive.google.com/file/d/12Eh2Yk2aPMlKc68kIJbl-qCqilXw3DV6/view?usp=sharing -
I prefer second topic. Very simple method and might help a lot in future. Mapping sites of high TB transmission risk is very important in TB prevention and control. TB is the disease which we fight for very long time and may be longest time of all disease. Still there are million of new TB cases were reported worldwide. With this method, we might do more TB screening to high TB transmission risk area with mobile team.
In second topic, the association between COVID-19 and AT and ARH across the provinces was not consistent. The longer the study period, the more stable the model results are expected to be.
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I choose first topic over second. First topic which is “ Analysis of Air Quality Impact on Human Health Using GIS” which is allied with our study. It include GIS which is our current course and it is related to Human Health and represent health informatics. I think second topic doesn’t not include health related study. So suggest first topic which is a very good report to show data of air pollution, distribution of PM10 related to human health which mainly affect the respiratory tract.
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We can download free data from OpenSources.
http://www.naturalearthdata.com/ is top list on wikipedia.
It support free vector and raster map data.
As Tullaya.Sita mentioned, we need true/exact data whatever the data sources is. -
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The most crucial element of all research and development in clinical trials is the data.
Benefit of having data standards in clinical research is operational efficiencies in data management and analysis. Due to the development of the information technology, data management assessment and evaluation became easy with quality data. Effective cross-functional communications between management, statistics and medical writing. Integrating the data from many studies for analysis and it would be beneficial if the data is collected in a standardized format from the start.
As technology became more robust clinical programmers started to realize the inefficiencies in recreating processes and metadata from scratch every time as well as the overlap in data elements across studies.
Many of the data managers, clinical programmers/statisticians, and clinicians had different perspectives primarily due to their specific needs of the data. Data Managers were very focused on defining a data standard that optimized the data collection process and reduced the need to reconcile data issues. -
I had never conduct a study before but had seen other study projects. They collected the data using paper based CRF and then entered into excel spreed sheet and analysis it. I thick excel has no option or capacity for audit trial/Time stamp user. Authentication and access control is possible via physical access control. There is some validation rule applied in excel but some logical error cannot be checked in excel.
But current National AIDS Program is trying to develop their own software to extract data(demanded variables) from relational database. So further analysis can be done easily. I am sure there will be more feature for data quality and integrity and better data management process like audit trial, time stamp user , authentication (may be two factors) and access control(physical and logical),edit check, logical check data, back-up(local and/or cloud) and recovery plan including disasters. -
In my current experience, we are collecting HIV positive pregnancy mother data for a study, we are still in data collection and entering process.
We have created a good CRF. But weak in training and capacities building how to properly use and record the data in CRF.
The another thing is we only have one data entry person without manual check.
We don’t have proper data management plan.
We still have time to go back as we are still in progress.
We should do a good plan for proper data management and lots of things to be done. -
Purpose of data collection is for Elimination of Mother to Child Transmission of HIV and Syphilis.
Data collection method is primary data collection. Collect the data using paper-based form. After collection with paper form data were entered into Access database for further analysis.
Problem is the missing data and inconsistent data, may be due to lack of validation in paper records.
Difficult entering data into database due to validation rule which were missing in paper records.
But now we are trying to develop electronic record form with a mobile devices so that the primary focal person enter data directly into database which might resolve current difficulties. -
I do not exactly know the situation of health informatics workforce in our country. But for sure there is few or no health informatician in our country. Only have health care providers and some technical support group (developers) form INGO. Challenges for developing informatic workforce are:
First one is health informatician of course who understands health care, information and communication technology.
Capacity building of existing workforce. There is no academic training related to health informatics in our country nor sending aboard to study informatics. There should be students exchange program for health informatics or fellowship program.
There should also be national strategic plan for e-Health. Although I’m working as Program Officer for EMR, do not have communication from anyone from e-Health Departments. All the program are fragmented due to lack of strategic plan. -
The big issue we have in healthcare, unlike in other industries is healthcare privacy. There is something called “trade secrets.” One hospital competes with another, even though they are not-for-profit. But behave very much like for-profits in their competitive landscape.
Patients are ultimately the owners of their own data but who owns the aggregate of information? We will hopefully see is that we are in this temporary period, or in a transition period. “Over time, I think we will see new information systems come about that put patients more in the driver’s seat of actually holding on to data and being able to provide it to different providers that are taking care of them. And government does have a role in setting regulations to protect patient privacy” said Rena M. Conti,PhD.
If I’m in charge of a data set from my country, only important matter is healthcare privacy. If the data is DE-identified we can share for many purposes (e.g., to improve individual and population health outcomes, to increased transparency and efficiency, to improve ability to study and improve care delivery). And government has responsibility to set up the framework to facilitate those solutions whether updating the certain laws. -
The article is about US health care system and compares to other countries’ health care system.
A 2014 study by the private American foundation The Commonwealth Fund found that although the U.S. health care system is the most expensive in the world, it ranks last on most dimensions of performance when compared with Australia, Canada, France, Germany, the Netherlands, New Zealand, Norway, Sweden, Switzerland and the United Kingdom. The study found that the United States failed to achieve better outcomes than other countries and is last or near last in terms of access, efficiency and equity.
In our country, UHC become hot topic recently and MOH creating strategic plan to get UHC but sill long way to go. Former government announced that every citizen should get free medical services without proper planning and provided free health care to all citizen in public hospitals with no planning, rules and regulation. And current government is trying to fix it because it will crack down the system unless fix timely. There are still few insurance providers public or private. We are still using our own money for our health although some companies provide reimbursement for health care to certain amount.
When it come to health care, all our intention is to get proper medical treatment to everyone regardless patient’s condition. Equal services to entire population. Depending on the political, economical and law, health care can be affordable or expensive. As mentioned via Chanapong
there are different problems of UHC in different settings to suitably resolve according to their social and economic environment. -
The problem of Net Pracharat is their transparency as mentioned coconuts news about the issues that the purpose of the project is unknown. As the Thailand’s government have the Cybersecurity Act which can monitor the internet traffic without court review, creating a massive free WiFi network could risk the citizen privacy and data unless good Law enforcement does not made in time .There have been such issues in the United State as well like Massive Surveillance Projects which does not need any legal warrant. For details, you should read “Permanent Record” by Edward Snowden.
The sustainability of the project is also import. To maintain a good internet speed, before people get frustrated after they know how to use the Internet. Those will look for the good services providers whether it is free or not because they already know the benefit of Internet. -
Good things using EMR in our setting
Data entry field level:
• High workload for both paper-based and electronic in short term will fall away when OpenMRS is up and running completely
• Assists day-to-day operation of patient consultation visit effectively
• Provides alerts and validations in order to obtain correct data
Clinician/ Pharmacist/ Laboratorial level
• Effective and improved case-based management for clinical assessment
• Quick overview for follow up visit management
• Analyze patient whole history
• View patient dashboard and chart module for each individual case
• Patient appointment list with ART drugs
• Daily dispense records
• Easy access in viewing lab requests and results
Program management level
• Monthly and ad hoc reports
• Drug treatment regimen assessment
• Monthly drug stock consumption
• Trends of national treatment on ART
• Monitoring and evaluation of the program • HIV-TB collaborationBad things
-People generally have a difficult time with accepting change, especially within the work environment.
-When implementing a new EHR system, anticipate a reduction in staff productivity, number of patients seen, and workflow efficiency and communicate this to your practice staff. Additionally, administration should prepare for potential overtime pay and the need for additional support.
-Migrating existing data to a new EHR is time-consuming and tedious. Additionally, it contains private and sensitive information that needs to be migrated accurately to ensure continued patient care. Records will need to be prioritized to determine how far back data should be migrated -
Missing data: Data validation rules are one of the best ways to prevent data missing. E.g. Making compulsory field for data entry.
When the data becoming big, it is not easy to utilize. It needs training and technical support and tools.
In our country, we are transforming to e-Health but there are few people doing research or analysis from those data (struggling with the data entry).
There is a whole bunch of techniques dedicated to cleansing data. But first things first. Our big data needs to have a proper model. Only after creating that, we can go ahead and do other things, like:
• Compare data to the single point of truth (for instance, compare variants of addresses to their spellings in the postal system database).
• Match records and merge them, if they relate to the same entity.
But mind that big data is never 100% accurate. We must know it and deal with it.
Generally good levels of basic rights to information privacy exist globally. Specific health information privacy protection is not as widely present and is often contained in professional codes of conduct rather than law. Legislation specifically aimed at protecting privacy in EHRs is limited to countries where considerable deployment of EHRs already exists. -
Health System Improvement in e-Health setting.
Currently, our ministry is using separate systems(software) for each health care setting. National program of TB, HIV, Hepatitis uses OpenMRS (Medical Record System) separately. We have to re-design the architecture for all the programs and consider upgrading a centralized server for Health Information Exchange.Barriers to EMR system improvement processes
• Financial challenges (upfront and ongoing costs)
• Lack of technology support
• Lack of technical infrastructure
• Resistance to Changing Work Habits
• Lack of capital resources to invest in HER
• Insufficient time
• Inability to easily input historic medical record data
• Physician attitude
• Physician autonomy
• Physician cooperation Complexity of meeting meaningful use challenges
• Lack of clear state and federal/policies standards
• Technical concerns Privacy concerns
• Resources for training in basic computer literacy
• Complexity of system
• Staff shortages
• Agility to make changes
• Missing data
• Interoperability -
My organization use local area network for EMR that do not need internet. Our system only uses back up method for recovery option. There are two types of back-up. Cloud back-up from server runtime properties which automatically back-up entire database in assigned times. Second method is backing up time database manually into hard drive.
In case of disaster, recovery took around one hour to install and configure in new server. -
If the hospital implement a High Availability technology, it will provide an clinical information the right time and help healthcare provider for better decision making and right management. It will reduce unnecessary or additional cost like duplicate investigation due to system unavailability. Cost effect for patients. Not only in clinical management, it will help also in procurement and supply chain management. Our MOH uses m-supply software for supply chain management. Central store monitor and know every details consumption nationwide in realtime. And decide when and what to deliver to sub-national stocks. So Hight system availability help every aspects in healthcare setting.
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Not such things happen in my work. All the systems use local area connection. As the system don’t use or need internet there are few possibilities to lost information security. But to be able to access the software, firewall from server is turned off which might be risky for security. If the server machine is connected to internet for other purposes, someone might access through the firewall. There should be alternative way to access the server software rather than turning off the firewall.
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Great system Dr. Tullaya. As technology are growing people are more prone to sedentary life style. As Ameen comment, we should use mobile or tablet devices for data collection and question.
We could also link it to application like food data central https://fdc.nal.usda.gov/ so that data will be automatically evaluate and warning flag might appear for action taking. -
People get panic in this situation because of their risk perception. People are usually more accepting of risks or feel less outrage when the risks are voluntary, under their control, have clear benefits, are naturally occurring, are generated from a trusted source, or are familiar.
Plague is defer from the risk that people are accepting.
If this kind of outbreak occur in our country, solidify the communications strategy to communicate with public. The communications team will solidly the communications strategy and develop communication resources aimed at reaching the public and art eras who might influence them.
Following communication resources and tool can be used for responses.
Internet site – Key information are included in the site such as number of cases, affected area, guidance for affected population, etc,
Call center – to answer inquiries from the affected population, general population and healthcare providers seeking information.
Social media messages – provide valid information and, identify & dispel myths and misperceptions.
Digital press kit for the news media – information about how to obtain an interview for reporters
Tailor communication resources – translation for specific audiencesAll the communications strategy and tools should be used effectively. Effective messing can be develop via following steps..
1. Start with empathy – acknowledge concerns and express understanding of how those affected by the illness.
2. Identify and explain the public health threat – what is causing the harm, who is at risk, and what causes someone to be at risk
3. Explain what is currently known and unknown – Provide specific details and timelines. Admin when information is not yet known.
4. Explain what public health actions are being taken and why
5. Emphasize a commitment to the situation
6. When additional information will be provided
7. Where to find more information in meantime. -
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In Fig1 and Fig2 – Findings of GWR and MGWR suggested a strong positive relationship of disease incidence with income inequality and median household income in these areas. As the disease continues to spread, the world has witnessed substantial vulnerabilities in healthcare systems, a steep decline in economies, and an increase in unemployment rates. For example, in the United States, those who become unemployed are at risk of losing their health insurance coverage, which can directly contribute to the health and economic disparities that already exist in the country
Furthermore, our findings support the substantial impact of healthcare professionals, such as nurse practitioners, during the pandemic. For instance, a recent article emphasized the presence of a significant number of healthcare professionals within 55 years old or over who are working on the frontline -
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