Web-application for gathering, analyzing, and processing health information about allergy data

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Response to the discussion paper on proposed Health Information Bill

The Institute of Public Health in Ireland is an all-island body which aims to improve health in Ireland by working to combat health inequalities and influence public policies in favour of health. The Institute promotes North-South co-operation in research, training, information and policy. The Institute commends the Department of Health and Children for producing the Discussion Paper on Proposed Health Information Bill (June 2008) and welcomes the opportunity to comment on it. The first objective of the Health Information: A National Strategy (2004) is to support the implementation of Quality and Fairness: A Health System for You (2001).The National Health Goals - such as ‘Better health for everyone’, ‘Fair access’ and ‘Responsive and appropriate care delivery’ - are expressed in terms of the health of the public as well as patients. The Discussion Paper focuses on personal information, and the data flows within the health system, that are needed to enhance medical care and maximise patient safety. The Institute believes that the Health Information Bill should also aim to more fully support the achievement of the National Health Goals and the public health function. This requires the development of more integrated information systems that link the healthcare sector and other sectors. Assessment of health services performance - in terms of the public’s health, health inequalities and achievement of the National Health Goals - require such information systems. They will enable the construction of public health key performance indicators for the healthcare services.

Response to the Health Information and Quality Authority on their Corporate Plan

The Institute of Public Health in Ireland is an all-island body which aims to improve health in Ireland, by working to combat health inequalities and influence public policies in favour of health. The Institute promotes co-operation in research, training, information and policy in order to contribute to policies which tackle inequalities in health. He Institute houses the all-Ireland population health observatory, INIsPHO. The Institute has enjoyed good working relations with HIQA and welcomes the opportunity to submit its views for inclusion in HIQA’s forthcoming Corporate Plan. Our response highlights the inter-relatedness of the four Functions of HIQA. The Institute believes that HIQA’s first Corporate Plan should aim to develop all four Functions in a co-ordinated manner that recognizes and takes advantage of their inter-dependence. For example; the Health Information Function should include a strong focus on, but not be limited to, information requirements to support the delivery of the other three Functions. As well as gathering relevant information in a complementary way, these other Functions can help define priorities for the Health Information Function. This approach will have implications for the organizational structures and processes within HIQA, and the way it conducts its business.

National Health Information Strategy

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Mental health and growing up factsheet. Cannabis and mental health: information for young people.

About this leaflet This is one in a series of leaflets for parents, teachers and young people entitled Mental Health and Growing Up. These leaflets aim to provide practical, up-to-date information about mental health problems (emotional, behavioural and psychiatric disorders) that can affect children and young people. This leaflet gives you some basic facts about cannabis and also how it might affect your mental health. Introduction Lots of young people want to know about drugs. Often, people around you are taking them, and you may wonder how it will make you feel. You may even feel under pressure to use drugs in order to fit in, or be â?~coolâ?T. You may have heard that cannabis is no worse than cigarettes, or that it is harmless. What is cannabis? The cannabis plant is a member of the nettle family that has grown wild throughout the world for centuries. People have used it for lots of reasons, other than the popular relaxing effect. It comes in two main forms: ï,§ resin, which is a brown black lump also known as bhang, ganja or hashish ï,§ herbal cannabis, which is made up of the dried leaves and flowering tops, and is known as grass, marijuana, spliff, weed, etc. Skunk cannabis is made from a cannabis plant that has more active chemicals in it (THC), and the effect on your brain is stronger. Because â?~streetâ?T cannabis varies so much in strength, you will not be able to tell exactly how it will make you feel at any particular time. What does it do to you? When you smoke cannabis, the active compounds reach your brain quickly through your bloodstream. It then binds/sticks to a special receptor in your brain. This causes your nerve cells to release different chemicals, and causes the effects that you feel. These effects can be enjoyable or unpleasant. Often the bad effects take longer to appear than the pleasant ones. ï,§ Good/pleasant effects: You may feel relaxed and talkative, and colours or music may seem more intense. ï,§ Unpleasant effects: Feeling sick/panicky, feeling paranoid or hearing voices, feeling depressed and unmotivated. Unfortunately, some people can find cannabis addictive and so have trouble stopping use even when they are not enjoying it. The effects on your mental health Using cannabis triggers mental health problems in people who seemed to be well before, or it can worsen any mental health problems you already have. Research has shown that people who are already at risk of developing mental health problems are more likely to start showing symptoms of mental illness if they use cannabis regularly. For example if someone in your family has depression or schizophrenia, you are at higher risk of getting these illness when you use cannabis. The younger you are when you start using it, the more you may be at risk. This is because your brain is still developing and can be more easily damaged by the active chemicals in cannabis. If you stop using cannabis once you have started to show symptoms of mental illness, such as depression, paranoia or hearing voices, these symptoms may go away. However, not everyone will get better just by stopping smoking. If you go on using cannabis, the symptoms can get worse. It can also make any treatment that your doctor might prescribe for you, work less well. Your illness may come back more quickly, and more often if you continue to use cannabis once you get well again. Some people with mental health problems find that using cannabis makes them feel a bit better for a while. Unfortunately this does not last, and it does nothing to treat the illness. In fact, it may delay you from getting help you need and the illness may get worse in the longer term. [For the full factsheet, click on the link above]This resource was contributed by The National Documentation Centre on Drug Use.

Caring for Seniors With Alzheimer's Disease: Canadian Institute for Health Information

Caring for Seniors In 2007-2008, one in five seniors (20%) in Canada receiving long-term home care had a diagnosis of Alzheimer's disease or other dementia. Nearly one in six (17%) of these clients with dementia were suffering from moderate to severe impairment in cognition and daily functioning yet still managed to remain at home.This study from the Canadian Institute for Health Information also found that one in six (17%) seniors with dementia living in residential care facilities (such as nursing or long-term care homes) in 2008-2009 had relatively low levels of impairment or could still perform basic functions quite well on their own. The odds of a senior with low impairment being placed in residential care were seven times more likely if the senior had a tendency to wander. Marital status was also a factor in determining whether a senior with low impairment was newly admitted to a care facility rather than at home with home care. 

Andalusian Health Repository: Promoting the scientific health output among professionals and providing citizens with quality health information

The Andalusian Public Health System (Sistema Sanitario Público de Andalucía -SSPA) Repository is the open environment where all the scientific output generated by the SSPA professionals, resulting from their medical care, research and administrative activities, is comprehensively collected and managed. This repository possesses special features which determined its development: the SSPA organization and its purpose as a health institution, the specific sets of documents that it generates and the stakeholders involved in it. The repository uses DSpace 1.6.2, to which several changes were implemented in order to achieve the SSPA initial goals and requirements. The main changes were: the addition of specific qualifiers to the Metadata Dublin Core scheme, the modification of the submission form, the integration of the MeSH Thesaurus as controlled vocabulary and the optimization of the advanced search tool. Another key point during the setting up of the repository was the initial batch ingest of the documents.

The encouragement of the open access movement: an essential realm for health information professionals in the 21st century

According to the Bethesda Statement on Open Access Policy for libraries and the recommendations of the BOAI10, libraries and librarians have an important role to fulfil in the encouragement of open access. Taking into account the Competencies for Information Professionals of the 21st Century, elaborated by the Special Libraries Association, and the Librarians’ Competencies Profile for Scholarly Publishing and Open Access, we shall identify the competencies and new areas of knowledge and expertise that have been involved in the process of the development and upkeep of our institutional repository (Repositorio SSPA).

Information provision and information needs in adult survivors of childhood cancer.

BACKGROUND: Knowledge about their past medical history is central for childhood cancer survivors to ensure informed decisions in their health management. Knowledge about information provision and information needs in this population is still scarce. We thus aimed to assess: (1) the information survivors reported to have received on disease, treatment, follow-up, and late effects; (2) their information needs in these four domains and the format in which they would like it provided; (3) the association with psychological distress and quality of life (QoL). PROCEDURE: As part of the Follow-up survey of the Swiss Childhood Cancer Survivor Study, we sent a questionnaire to all survivors (≥18 years) who previously participated to the baseline survey, were diagnosed with cancer after 1990 at an age of <16 years. RESULTS: Most survivors had received oral information only (on illness: oral: 82%, written: 38%, treatment: oral: 79%, written: 36%; follow-up: oral: 77%, written: 23%; late effects: oral: 68%, written: 14%). Most survivors who had not previously received any information rated it as important, especially information on late effects (71%). A large proportion of survivors reported current information needs and would like to receive personalized information especially on late effects (44%). Survivors with higher information needs reported higher psychological distress and lower QoL. CONCLUSIONS: Survivors want to be more informed especially on possible late effects, and want to receive personalized information. Improving information provision, both qualitatively and quantitatively, will allow survivors to have better control of their health and to become better decision makers.

Health Information and the Choice of Fish Species: An Experiment Measuring the Impact of Risk and Benefit Information, April 2006

An experiment was conducted in France to evaluate the impact of health information on consumers’ choice between two different types of fish. Successive messages revealing risks (methylmercury) and benefits (omega-3s) of consuming the fish, along with consumption recommendations, were delivered. Results show a significant difference of reaction according to the order and type of information. The information about risks had a larger marginal impact on change in willingness to pay (WTP) than did the information about benefits. While the results show that detailed messages on risks/benefits, including recommendations for nutrition behavior, matter in the modification of WTP, 40% of respondents did not change their initial choices after the revelation of health information.

Does Health Information Matter for Modifying Consumption?, October 2006

A field experiment was conducted in France to evaluate the impact of health information on fish consumption. A warning given to the treatment group revealed the risks of methylmercury contamination in fish and also gave consumption recommendations. Using difference-indifferences estimation, we show that this warning led to a significant but relatively weak decrease in fish consumption. However, consumption of the most contaminated fish did not decrease despite advice to avoid consumption of these types of fish. Accompanying questionnaires show that consumers imperfectly memorize the fish species quoted in the warning. The results point to the relatively poor efficacy of a complex health message, despite its use by health agencies around the world.

Social Media in health. What are the safety concerns for healthcare consumers?

Recent literature has discussed the unintended consequences of clinical information technologies (IT) on patient safety, yet there has been little discussion about the safety concerns in the area of consumer health IT. This paper presents a range of safety concerns for consumers in social media, with a case study on YouTube. We conducted a scan of abstracts on 'quality criteria' related to YouTube. Five areas regarding the safety of YouTube for consumers were identifi ed: (a) harmful health material targeted at consumers (such as inappropriate marketing of tobaccoor direct-to-consumer drug advertising); (b) public display of unhealthy behaviour (such as people displaying self-injury behaviours or hurting others); (c) tainted public health messages (i.e. the rise of negative voices againstpublic health messages); (d) psychological impact from accessing inappropriate, offensive or biased social media content; and (e) using social media to distort policy and research funding agendas. The examples presented should contribute to a better understanding about how to promote a safe consumption and production of social media for consumers, and an evidence-based approach to designing social media interventions for health. The potential harm associated with the use of unsafe social media content on the Internet is a major concern. More empirical and theoretical studies are needed to examine how social media infl uences consumer health decisions, behaviours and outcomes, and devise ways to deter the dissemination of harmful infl uences in social media.

Machine Learning and Clinical Text. Supporting Health Information Flow

Fluent health information flow is critical for clinical decision-making. However, a considerable part of this information is free-form text and inabilities to utilize it create risks to patient safety and cost-­effective hospital administration. Methods for automated processing of clinical text are emerging. The aim in this doctoral dissertation is to study machine learning and clinical text in order to support health information flow.First, by analyzing the content of authentic patient records, the aim is to specify clinical needs in order to guide the development of machine learning applications.The contributions are a model of the ideal information flow,a model of the problems and challenges in reality, and a road map for the technology development. Second, by developing applications for practical cases,the aim is to concretize ways to support health information flow. Altogether five machine learning applications for three practical cases are described: The first two applications are binary classification and regression related to the practical case of topic labeling and relevance ranking.The third and fourth application are supervised and unsupervised multi-class classification for the practical case of topic segmentation and labeling.These four applications are tested with Finnish intensive care patient records.The fifth application is multi-label classification for the practical task of diagnosis coding. It is tested with English radiology reports.The performance of all these applications is promising. Third, the aim is to study how the quality of machine learning applications can be reliably evaluated.The associations between performance evaluation measures and methods are addressed,and a new hold-out method is introduced.This method contributes not only to processing time but also to the evaluation diversity and quality. The main conclusion is that developing machine learning applications for text requires interdisciplinary, international collaboration. Practical cases are very different, and hence the development must begin from genuine user needs and domain expertise. The technological expertise must cover linguistics,machine learning, and information systems. Finally, the methods must be evaluated both statistically and through authentic user-feedback.

Cultural differences in web-based health information seeking of Finnish and Japanese students

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