Research in Health Services Concept and Idea Rajnish K Gupta Professor of Cancer Studies Slides Aisling de Hooge Research and Information officer Cancer Services Search and Literature Hypothesis Rationale Search and Literature Review In information retrieval systems, the match between query and document is severely unbalanced due to the huge difference in the sizes of query and document. Strengthen the query with related knowledge such as context semantics Context based search approach • Conceptual paradigm for performing search in context e.g. IntelliZap system Search and Literature Review Knowing where to look An overview of search engines General Search Engines Google http://www.google.com Yahoo http://www.yahoo.com Askjeeves http://www.askjeeves.com All the Web http://www.alltheweb.com AOL http://search.aol.com/ Hot Bot http://www.hotbot.com Teoma http://www.teoma.com Alta vista http://www.altavista.com Gigablast http://www.gigablast.com Lycos http://www.lycos.com MSN http://search.msn.com Medical Search Engines Google http://www.google.com Yahoo http://www.yahoo.com Askjeeves http://www.askjeeves.com All the Web http://www.alltheweb.com AOL http://search.aol.com/ Hot Bot http://www.hotbot.com Teoma http://www.teoma.com Alta vista http://www.altavista.com Gigablast http://www.gigablast.com Lycos http://www.lycos.com MSN http://search.msn.com Medical Search Engines Health On The Net: MedHunt http://www.hon.ch/MedHunt/ MedHunt uses both humans and web crawling to build its index of medical information. MedicineNet.com http://www.medicinenet.com/script/main/hp.asp Medical information contributed by over 50 doctors and health professionals. MedlinePlus http://medlineplus.gov/ Medical information from the US National Library of Medicine and the US National Institutes of Health. OmniMedicalSearch.com http://www.omnimedicalsearch.com/ Meta search major medical search engines and databases from this new service. WebMD http://www.webmd.com/ Long-standing portal of health and medical information. Science Search Engines Health On The Net: MedHunt http://www.hon.ch/MedHunt/ MedicineNet.com http://www.medicinenet.com/script/main/hp.asp MedlinePlus http://medlineplus.gov/ OmniMedicalSearch.com http://www.omnimedicalsearch.com/ WebMD http://www.webmd.com/ Science Search Engines 1. Biocrawler http://www.biologie.de/ Directory and search engine for biological information. Chemie.DE http://www.chemie.de/ Directory and search engine for information about chemistry. Scirus http://www.scirus.com Scirus combines a targeted crawler from FAST that focuses only on web sites with scientific content. Search4Science http://www.search4science.com/ Search4Science is a search engine put together by scientists for scientists. It shows -- if you enter simple keyword searches you're often presented with related scientific terms to expand or limit your query. SciSeek http://www.sciseek.com/ SciSeek is a focused web directory created by human editors. It's a useful tool for browsing for information in a specific scientific area. Other websites Biocrawler http://www.biologie.de/ Chemie.DE http://www.chemie.de/ Scirus http://www.scirus.com Search4Science http://www.search4science.com/ SciSeek http://www.sciseek.com Other Websites PubMed http://www.ncbi.nlm.nih.go v/entrez/query.fcgi World Health Organisation http://www.who.int/en/ National Library of Medicine http://www.nlm.nih.gov/nic hsr/hsrsites.html Health Finder http://www.healthfinder.go v/ Irish Health Research Board http://www.hrb.ie/ Health Web http://healthweb.org/ Discovery http://health.discovery.com/ Irish Health http://www.irishhealth.com/ Health World Online http://www.healthy.net/ VHI http://www.vhihealthe.com/ Bupa http://www.bupa.ie/ Irish Medical Organisation http://www.imo.ie/ Hypothesis Rationale Pub Med http://www.ncbi.nlm.nih.gov/entrez/query.fcgi World Health Organisation http://www.who.int/en/ National Library of Medicine http://www.nlm.nih.gov/nichsr/hsrsites.html Health Finder http://www.healthfinder.gov/ Irish Health Research Board http://www.hrb.ie/ Health Web http://healthweb.org/ Discovery http://health.discovery.com/ Irish Health http://www.irishhealth.com/ Health World Online http://www.healthy.net/ VHI http://www.vhihealthe.com/ BUPA http://www.bupa.ie/ Irish Medical Organisation http://www.imo.ie/ Hypothesis Rationale Plato Several levels of comprehension ranging from those based purely on sensory impressions to eventual understanding, through dialectic, of the first principles or Eidos (Ideas, or Forms) Plato Whewell Natural Philosopher = Scientist Imprecise nature of Ideas, Forms. Modern physics can be tested by the emergence of scientific methodology. Thought alone can never approach reality unless founded on fact. Such facts, referred to as data (datum) are derived from the observation of natural events or, from carefully designed experiments and executed interventions. Fibonacci Liber Abaci – described the famous Fibonacci series The Divided Line simile superimposed Data versus Doxa Plato - in his paradigm of the line, separated knowledge (Episteme) from opinion or supposition (Doxa) • Doxa – derives purely from sensory impressions i.e. from the appearance of things • Pistis – direct experience results in belief • Eikasia – impressions or illusions Plato’s message – knowledge cannot be based on unsubstantiated belief or conjecture. Science is driven by hypothesis A proposed explanation for a set of observations (data) The ability to use reason to create hypotheses goes beyond mathematics Perhaps corresponds to Plato’s dialectic – ability to reason Science is driven by hypothesis It is the testing of such hypotheses by seeking additional data (re-search), experimentally (where necessary), that distinguishes scientific knowledge from beliefs that are not based on the rational interpretation of factual information Medical Treatment In the past – based on Doxa unsupported by data e.g. purging, bleeding, trephining Successful prevention or treatment of disease does not necessarily require detailed understanding of the cause, or of therapeutic mechanisms. Empirical observations – provide raw material for the development and testing of hypotheses Medical Treatment Validity of a hypothesis is examined by making a judgement as to whether the relevant data support or refute it. Occasionally, the result of an experiment or trial, designed to test a hypothesis is sufficiently obvious – no further analysis required Since different informal observers may draw different conclusions from the data set, Scientific method - use of objective methods to measure the degree of certainty, i.e., the probability, that a hypothesis is correct is often required The Art of Conjecturing Probability theory has become a critically important branch of mathematics and is as important to the design of clinical experiments involving human subjects (clinical trials) as it is to the analysis of the results obtained Foundations were laid by Blaise Pascal and Pierre de Fermat in 1654, dealing with the mathematics of games of chance e.g. Double six Jakob Bernoulli - “Bernoulli trial”, dichotomous outcome e.g. tossing a coin Clinical Trials Designed to test the value of a particular treatment Outcome can be dichotomous e.g. survival or death Usually more complex since there are many factors (or variables) which determine response Various characteristics • Dependent • Independent Mathematical approach – multivariate analyses • Independent risk factors • Predict prognosis, particular disease, with a particular treatment Such information permits treatment decisions to be made i.e. evidence based Clinical Trials Probability theory calculate the number of patients required Power of a study: degree of certainty that the difference between the interventions, if present, would be detected, specifying the anticipated difference and the degree of certainty required Bernoulli’s Law of Large Numbers states that the more trials that take place, the closer the proportion of successes will be to the proportion that applies to an individual trial Quantification of risk • Evolved from Pafnuty Chebyshev - observed value is compared to the expected value ie. Relative risk So, finally There is a proposal to offer coverage for a breast cancer screening program to women aged 20-40 in your Health Board. Four statements from four randomized controlled trials On the basis of each statement, you should indicate if you agree to the implementation of a breast screening program. Assume that the costs of each program are the same, each result was deemed to be statistically significant. During a 7-year follow-up Program A reduced the death rate from breast cancer by 33% Program B produced an absolute reduction in deaths from breast cancer of 0.06% Program C increased the rate of survival from breast cancer from 99.82 to 99.88% Program D prevented one death from breast cancer for every 1666 women screened Which program do you recommend? Thank you
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