BACKGROUNDMost patients with epilepsy want to learn as much as possible about the disease, and many have turned to the internet for information. Patients are likely to use information obtained from the internet to control their epilepsy, but little is known about the accuracy of this information. In this survey, we have assessed the feasibility and usability of internet-based interventions for the treatment of epilepsy.

METHODSData were collected from an internet search. Different search terms were used to obtain general information on epilepsy together with information about medication, types of epilepsy, treatment, women's health, and other information. The accuracy of the information was evaluated by a group of experts.

RESULTSA total of 1320 web pages were assessed. The majority were websites related to health. A large number (80.2%) of web pages contained content related to the search term. A significant number of web pages 450/1058 (42.5%) claimed to provide information from a credible source; however, only 206/1058 (19.5%) of the information was accurate and complete; 326/1058 (30.8%) was accurate but incomplete; 328/1058 (31.0%) was correct but nonstandard, and 198/1058 (18.8%) was inaccurate. The authenticity of the information was not significantly different between the two search engines (χ2 = 0.009, P = 0.924). No significant difference was observed in the information obtained from a specialist or nonspecialist source (χ2 = 7.538, P = 0.057). There was also no correlation between the quality of the information and the priority (χ2 = 6.880, P = 0.076).

CONCLUSIONSSearching for information about epilepsy on the internet is convenient, but the information provided is not reliable. Too much information is inaccurate or for advertisement purposes, and it is difficult for patients to find the useful information. Turning to the internet for medical knowledge may be harmful. Physicians should be aware that their patients may search for information on the internet and guide them to safe, reputable websites.

Chi-Square Distribution ; Epilepsy ; Humans ; Internet ; Software

No abstract available.
Biometry ; Chi-Square Distribution ; Research Personnel ; Data Interpretation, Statistical

WHY: Calculating the sample size is essential to reduce the cost of a study and to prove the hypothesis effectively. HOW: Referring to pilot studies and previous research studies, we can choose a proper hypothesis and simplify the studies by using a website or Microsoft Excel sheet that contains formulas for calculating sample size in the beginning stage of the study. MORE: There are numerous formulas for calculating the sample size for complicated statistics and studies, but most studies can use basic calculating methods for sample size calculation.
Chi-Square Distribution ; *Research Design ; *Sample Size ; Statistics as Topic/*methods

PURPOSE: This study aimed to evaluate the accuracy and adequacy of research papers reporting statistical testings for mean differences. METHODS: Original research articles utilized t-test, Chi-square test, and ANOVA were reviewed from Korean Journal of Women Health Nursing published from the year 2004 to 2006. Seventy-six papers were evaluated in accordance with formatted criteria in respect to an inclusiveness of research title, accuracy of statistical methods and presentation styles, and errors in reporting statistical outcomes. RESULTS: Research titles were quite comprehensive, however overall accuracy of statistical values and basic formats reached only 60 to 80% by items. Details of the presentation in the reporting of outcomes were not complied with the guidelines, which need careful concerns of the writers. Errors of English in table presentation were found in more than 30% of the papers. CONCLUSION: The outcome would be reflected in the submission guidelines for future writers. To reach the level comparable with internationally recognized nursing journals, concrete knowledge to apply statistical methods should be ensured in the processes of submission, reviews, and editing.
Analysis of Variance ; Chi-Square Distribution ; Nursing ; Women's Health

This study examines the factors that are associated with accidents from riding on inline skates and/or kick boards among students in the elementary schools. Data were collected from 902 students in 3 elementary schools in Seoul. Data were analyzed based on descriptive statistics and chi-square test. The results were as follows: 1.Thirty-eight percent of the students investigated were found to have kick boards while sixty-one percent of the students had inline skates. 2.The age of mothers who answered the questionnaires showed a statistically significant association with injuries of their children on inline skates and/or kick boards. Children whose mothers are younger had a lower percentage of injuries on inline skates and/or kick boards. 3. Children with a lower score on K-CBCL had a higher chance of having an accident from riding on inline skates and/or kick boards. That is, children with lack of attention were more likely to be involved in an accident. First-born children were less likely to have an accident. 4. While mothers' attitudes toward the safety of inline skates and kick boards appeared not to be associated with accidents of their children, their preventive actions for the safety related to riding on inline skates and kick boards reduced the chance to be involved in an accident of their children. In conclusion, this study shows that mothers with children going to the elementary schools should be more action-oriented to prevent their children's accidents from riding on inline skates and/or kick boards than merely recognizing the safety of inline skates and/or kick boards on their own. Implication of these findings and major findings of this study were discussed.
Chi-Square Distribution ; Child ; Humans ; Mothers ; Seoul ; Child Health

OBJECTIVE: We performed the transvaginal ultrasonographic evaluation of uterine cervix and fetal fibronectin in cervicovaginal secretions in women after 37 complete weeks of gestation to predict the onset of labor. METHODS: Total 80 primiparous or multiparous women were divided into two groups on the duration between evaluation and onset of labor. The biometric analysis of uterine cervix(cervical index, endocervical length, funneling, funnel length and width) was done by transvaginal ultrasonography. The cervicovaginal fetal fibronectin was measured by fetal fibronectin immunoassay (ELISA kit, Adeza Biochemical, USA). The efficacy of these method was analyzed with Pearson chi-square test, receiver-operator characteristic curves, and multiple logistic regression test. RESULTS: 1) There were no significant differences in clinical characteristics between two groups. 2) Group 1(onset of labor within 7 days after evaluation) showed significantly shorter endocervical length(Group 1: 2.33+/-0.75cm,Group 2: 2.93+/- 0.42cm, p=0.013), higher value of cervical index(Group 1: 1.27+/-0.67, Group 2: 0.62+/-0.34, p=0.008) and higher level of fetal fibronectin(Group 1: 98.65+/-11.34ng/ml, Group 2: 13.37+/- 2.7ng/ml, p=0.004). 3) The ROC curve analysis showed that a level of endocervical length <2.64mm, cervical index> 0.7, fetal fibronectin> 60ng/ml had the diagnostic performance in predicting group 1. Fetal fibronectin level in cervicovaginal secretion> 60ng/ml showed the highest diagnostic index in predicting the onset of labor within 7 days(p<0,001, odds ratio=21.3). CONCLUSION: Cervicovaginal fetal fibronectin predicts delivery within 7 days more accurately than cervical index, endocervical length. Combine use of these tests improve the diagnostic efficiency and allowed prediction of onset of labor, identifying a subgroup of patients who may require aggressive treatment.
Cervix Uteri ; Chi-Square Distribution ; Female ; Fibronectins* ; Humans ; Immunoassay ; Logistic Models ; Pregnancy* ; ROC Curve ; Ultrasonography*

BACKGROUND: Meralgia paresthetica (MP) is a mononeuropathy affecting the lateral femoral cutaneous nerve. The disease is often diagnosed clinically, but electrophysiological tests play an important role. The aim of this study is to clarify clinical characteristics of MP as well as the role of sensory nerve conduction study (NCS) in the diagnosis of MP. METHODS: Sixty-five consecutive patients with clinical diagnosis of MP between March 2001 and June 2012 were retrospectively reviewed at a single tertiary center. General demographics, clinical characteristics and sensory NCS findings were investigated. Measurements of sensory NCS included the baseline-to-peak amplitude, side-to-side amplitude ratio and the conduction velocity. To compare between the normal and abnormal NCS groups, independent t-tests and chi-square test were performed. RESULTS: Sixty-five patients had male predominance (56.9%) with mean age of 48.4+/-13.4 years (range: 16-75). Seven patients (13.5%) had undergone operation or procedure before the symptom onset. The sensory nerve action potentials were obtainable in 52 (80%) of 65 clinically diagnosed MP patients. Sensory NCS revealed abnormalities in 38 patients (73.1%), and others (n=14, 26.9%) showed normal findings. Between the normal and abnormal NCS groups, there is no statistically significant difference on demographics or clinical features. CONCLUSIONS: We clarify the clinical features and sensory NCS findings of MP patients. Due to several limitations of sensory NCS, the diagnosis of MP could be accomplished both clinically and electrophysiologically.
Action Potentials ; Chi-Square Distribution ; Demography ; Diagnosis ; Humans ; Male ; Mononeuropathies ; Neural Conduction ; Retrospective Studies

Statistical analysts engaged in typical clinical trials often have to confront a tight schedule to finish massive statistical analyses specified in a Standard Operation Procedure (SOP). Thus, statisticians or not, most analysts would want to reuse or slightly modify existing programs. Since even a slight misapplication of statistical methods or techniques can easily drive a whole conclusion to a wrong direction, analysts should arm themselves with well organized statistical concepts in advance. This paper will review basic statistical concepts related to typical clinical trials. The number of variables and their measurement scales determine an appropriate method. Since most of the explanatory variables in clinical trials are designed beforehand, the main statistics we review for clinical trials include univariate data analysis, design of experiments, and categorical data analysis. Especially, if the response variable is binary or observations collected from a subject are correlated, the analysts should pay special attention to selecting an appropriate method. McNemar's test and multiple McNemar's test are respectively recommended for comparisons of proportions between correlated two samples or proportions among correlated multi-samples.
Appointments and Schedules ; Arm ; Chi-Square Distribution ; Cross-Over Studies ; Statistics as Topic ; Weights and Measures

OBJECTIVETo compare the outcome of non-operative treatment with the outcome of surgical intraventricular drainage for patients with posttraumatic hydrocephalus including complications, mortality and favorable outcome.

METHODSThirty-nine patients were assigned to a nonoperative treatment group and 38 patents to a surgical intraventricular drainage group. Each patient's outcome was evaluated 3 years after treatment by using Glasgow Outcome Scale.

RESULTSIn the nonoperative treatment group the rate of favor able outcome (good recovery or mild disability) was 89.74% (35 of 39 patients) and the mortality was 2.56% (1 of 39 patients). In the surgical intraventricular drainage group the rate of favorable outcome was 71.05% (27 of 38 patients) and the mortality was 13.16% (5 of 38 patients; P<0.05). Mortality was not significantly different between the two groups.

CONCLUSIONSNonoperative treatment may be better than surgical intraventricular drainage for patients with posttraumatic hydrocephalus.

Adult ; Brain Injuries ; complications ; Chi-Square Distribution ; Female ; Humans ; Hydrocephalus ; etiology ; mortality ; therapy ; Male ; Treatment Outcome

The present status of the traffic accident rate in Korea shows that it is the highest in the world with a continuously increasing trend. Human factors account for 90% of the causes of traffic accidents. Therefore, the purpose of this study was to determine some human factors related to traffic accidents by studying the relationship between health status and traffic accidents. To accomplish this purpose, all taxi companies located in the Seoul area were divided in three groups according to the number of taxi possessed, then some companies in each group were randomly selected for study, and a total of 222 drivers in those selected companies were questioned and examined from April 15 to April 22, 1989. Seventy drivers among 222 had experienced a traffic accident. A chi-square test was performed on the data, then, factor analysis and discriminant analysis were executed with the following results: 1. The drivers complaining of gastroenteric symptoms numbered 110(49.5%), which was the major symptom among all drivers complaining of poor health. 2. In the primary analysis, variables related to traffic accidents were divided into general, occupational, and health characteristics. Drivers having no traffic accident experience and drivers having that experience were subjected to question about age, educational level, residential status, monthly average income, working hours and days, degree of satisfaction with their profession and homelife, degree of worry about health. degree of fatigue, medication, drunken driving, and illness, but there were no statistical significances. 3. In the factor analysis, the 8 health variables which causes traffic accidents were classified into 3 common factors which were perceived health factor, sleeping and drunken driving, and visual acuity and smoking factor. Perceived health was the factor which contributed most to explaining accidents. 4. In the discriminant analysis, a correct prediction rate of 68.0% was obtained in the factors of all the characteristics. 5. Degree of satisfaction with their homelife and educational and economic factor in the general characteristics, degree of satisfaction with their profession in the occupational characteristics, and sleeping and drunken driving in the health characteristics were selected as statistically significant factors to discriminant the traffic accident. 6. Among the factors of the general, occupational, and health characteristics, degree of satisfaction with their homelife, driving experience, family factor, perceived factor were selected as the statistically significant factors.
Accidents, Traffic* ; Chi-Square Distribution ; Fatigue ; Humans* ; Korea ; Seoul* ; Smoke ; Smoking ; Visual Acuity