[Comprehensibility of online-based patient education material in ophthalmology]. / Die Lesbarkeit von onlinebasierten Patienteninformationen in der Augenheilkunde.

BACKGROUND: Investigations have shown that the internet as a source of information in medical issues is increasing in importance. For most patients information delivered or supported by hospitals and universities is considered to be the most reliable, however, the comprehensibility of available information is often considered to be wanting. Comprehensibility scores are formulae allowing a quantitative value for the readability of a document to be calculated. OBJECTIVE: The purpose of this study was to assess data by analyzing the comprehensibility of medical information published on the websites of departments for ophthalmology of German university hospitals. We investigated and analyzed medical information dealing with three eye diseases with potentially severe irreversible damage. METHODS: The websites of 32 departments for ophthalmology of German university hospitals were investigated. Information regarding cataracts, glaucoma and retinal detachment (amotio retinae) were identified and analyzed. All information was systematically analyzed regarding comprehensibility by using the analysis program Text-Lab ( http://www.text-lab.de ) by calculation of five readability scores: the Hohenheim comprehensibility index (HVI), the Amstad index, the simple measure of gobbledygook (G-SMOG) index, the Vienna non-fictional text formula (W-STX) and the readability index (LIX). RESULTS: In 59 cases (61.46 %) useful text information from the homepage of the institutions could be detected and analyzed. On average the comprehensibility of the information was identified as being poor (HVI 7.91 ± 3.94, Amstad index 35.45 ± 11.85, Vienna formula 11.19 ± 1.93, G­SMOG 9.77 ± 1.42 and the LIX 54.53 ± 6.67). CONCLUSION: In most of the cases patient information material was written far above the literacy level of the average population. It must be assumed that the presented information is difficult to read for the majority of the patients. A critical evaluation of accessible information material seems to be desirable and available texts should be amended.

Health literacy and online educational resources: an opportunity to educate patients.

OBJECTIVE: Given the increasing accessibility of material on the Internet and the use of these materials by patients as a source of health care information, the purpose of this study was to quantitatively evaluate the level of readability of resources made available on the European Society of Radiology website to determine whether these materials meet the health literacy needs of the general public as set forth by guidelines of the U.S. National Institutes of Health (NIH) and the American Medical Association (AMA). MATERIALS AND METHODS: All 41 patient education articles created by the European Society of Radiology (ESR) were downloaded and analyzed with the following 10 quantitative readability scales: the Coleman-Liau Index, Flesch-Kincaid Grade Level, Flesch Reading Ease, FORCAST Formula, Fry Graph, Gunning Fog Index, New Dale-Chall, New Fog Count, Raygor Reading Estimate, and the Simple Measure of Gobbledygook. RESULTS: The 41 articles were written collectively at a mean grade level of 13.0 ± 1.6 with a range from 10.8 to 17.2. For full understanding of the material, 73.2% of the articles required the reading comprehension level of, at minimum, a high school graduate (12th grade). CONCLUSION: The patient education resources on the ESR website are written at a comprehension level well above that of the average Internet viewer. The resources fail to meet the NIH and AMA guidelines that patient education material be written between the third and seventh grade levels. Recasting these resources in a simpler format would probably lead to greater comprehension by ESR website viewers.

Automatically Assessing the Expert Degree of Online Health Content using SVMs.

More and more people search for health information regarding diseases, diagnoses and treatments over the Web. However, lay people often have difficulties in assessing the understandability of related articles. Therefore, they could benefit from a system, which computes the medical expert degree of a corresponding piece of text in advance. In this paper we present an approach to automatically compute this expert degree using a machine learning approach. For evaluation purposes we constructed a large text corpus and tested our trained text classifier, which is based on Support Vector Machines.

Understanding mobility in a social petri dish.

Despite the recent availability of large data sets on human movements, a full understanding of the rules governing motion within social systems is still missing, due to incomplete information on the socio-economic factors and to often limited spatio-temporal resolutions. Here we study an entire society of individuals, the players of an online-game, with complete information on their movements in a network-shaped universe and on their social and economic interactions. Such a "socio-economic laboratory" allows to unveil the intricate interplay of spatial constraints, social and economic factors, and patterns of mobility. We find that the motion of individuals is not only constrained by physical distances, but also strongly shaped by the presence of socio-economic areas. These regions can be recovered perfectly by community detection methods solely based on the measured human dynamics. Moreover, we uncover that long-term memory in the time-order of visited locations is the essential ingredient for modeling the trajectories.

Critical care and the World Wide Web.

The Internet was created in 1969, when the Advanced Research Projects Agency of the United States Department of Defense fired up an experimental network consisting of only four computers. Over the past five years there has been an exponential explosion in the number of computers added to this network. It is estimated that Internet traffic doubles every 100 days with more than 100 million people worldwide now on-line. The Internet is so vast that practically every aspect of human interest is represented is some form or fashion. From recreation to applied science and technology, and from Critical Care Medicine case scenarios to digitized radiology images and pathology specimens, the Internet has become increasingly useful for critical care practitioners. To date, no resource is better equipped to assist critical care providers in many of their daily tasks. This article presents some of the historical developments of the Internet as well as common applications that are useful for critical care practitioners.

[The practice of systematic reviews. II. Searching and selection of studies]. / De praktijk van systematische reviews. II. Zoeken en selecteren van literatuur.

Structured searching and selection of studies is an important component of a systematic review. It is recommended to record the various steps in a protocol in advance. The thoroughness of the searching and selection will partially depend on the available resources, like manpower and funds. A search action should be based on an unequivocally formulated research or clinical question, that is operationalized into clear inclusion and exclusion criteria. The actual start of a search strategy is a search in preferably multiple databases like Medline and EMBASE-Excerpta Medica. Additional search actions can be performed in trial registers and printed indexes and by correspondence with experts and hand searching of journals. Storage of the search results in a bibliographic database is recommended. Various methodological problems may play a role in searching and selecting studies for a review: studies may selectively not be published, results are only partially presented in the publication, studies are selectively included in reference lists, and reviewers themselves may make systematic errors in the selection process.

A computerized approach to discipline-specific bibliographies in the allied health sciences.

The traditional subject headings in Index Medicus and other standard indexes have frequently proved too broad for researchers in the allied health sciences. Therefore, the Physician Assistant Program at the University of Florida has developed a computerized bibliography program designed to expedite research by using a selected list of keywords as subject headings and subheadings tailored to the interests and concerns of the physician assistant profession. Each subject heading and subheading is translated into a numerical coding system that permits efficient data entry and rapid identification of items in the professional literature as well as reducing the incidence of operator error in data entry. The program can be used for review of the literature, curriculum design, identification of supplementary reading material for education courses, and identification of appropriate resources to enhance the study of the physician assistant profession. Through the development of discipline-specific keywords, the program can be tailored to the educational and research interests of any discipline in the allied health sciences or other educational fields.