Investigation of the effect of web-based diabetes education on metabolic parameters in people with type 2 diabetes: A randomized controlled trial.

OBJECTIVES: The study was done experimentally to test the effect of diabetes on body mass index (BMI), low-density lipoprotein (LDL), high-density lipoprotein (HDL), systolic blood pressure, diastolic blood pressure, fasting blood glucose and postprandial blood glucose. METHODS: In the randomization performed, with 80 percent power, 80 people with Type 2 diabetes were found to be suitable for sampling. Personal data forms were filled in by conducting a face-to-face interview with both the experimental and control groups for randomization purposes. In the study, monitoring of BMI, LDL, HDL, systolic blood pressure, diastolic blood pressure, fasting blood glucose and postprandial blood glucose were used as outcome measures. Parameters were monitored pre-trial and at the 3rd, 6th, 9th, and 12th months. Data from the experimental group were collected online while data belonging to the control group were collected by the researcher from patientsâ¿¿ medical records in the Endocrinology Outpatient Clinic. Repeated measures analysis of variance (rANOVA) was performed to analyze pre-trial, 3rd, 6th, 9th, and 12th-month data. RESULTS: BMI, LDL, HDL, systolic and diastolic blood pressure, fasting and postprandial blood glucose average of the experimental group at 12 months were proven to be ameliorated compared to the average values at the start of the study (month 0). CONCLUSIONS: The metabolic data of the experimental group, who had web-based diabetes education, significantly improved between the start of the study (month 0) and the 12th month. In this era of technology, the importance of web-based monitoring of diabetes patients was once again proven.

A determination of the quality of life of children and adolescents with type 1 diabetes and their parents.

OBJECTIVE: Type 1 diabetes is a chronic illness which can have a negative effect on the health care and development of children and can put their lives in danger. This descriptive study aimed to determine the quality of life and the factors affecting it of children and adolescents with type 1 diabetes using the Pediatric Quality of Life Inventory (PedsQL). METHODS: The study was conducted in the Child Endocrinology Unit of a University Hospital in Bursa, Turkey. Totally 64 children eight-12 years and 85 adolescents aged 13-18 with type 1 diabetes and their parents were recruited. HbA1c measurements were obtained from the records of the endocrinology clinicare, which were made once every three months, and the average of the last three measurements was taken in the study. The PedsQL was used to measure quality of life of the children and adolescents. The data was analyzed using SPSS version 20.0 and P < 0.05 was considered significant. The demographic data of the children and parents were analyzed using means and percentiles. Pearson's correlation analysis was used to assess the relationship between two averages. RESULTS: Of the sub-groups on the scale, affective and school function scores were somewhat low, and social function scores were high. The quality of life scores of the children and adolescents were found to correlate with those of their parents. A negative correlation was found between HbA1c levels and adolescent quality of life, a positive correlation was found between the child's age and the quality of life of the child and parents, and a negative correlation was found between the number of children in the family and the quality of life of the child and parents. CONCLUSIONS: An evaluation of the quality of life after a diagnosis of diabetes can be used to assess the problems which may be faced by children and adolescents and to combat these problems.

Effectiveness of online education in teaching breast self- examination.

BACKGROUND: This research evaluated the effectiveness of an online education model in teaching breast self- examination to university staff and students. MATERIALS AND METHODS: 1,679 women participated in a breast self-examination online training program. Breast self-examination knowledge evaluation forms developed by Maurer (1997) were used in the research and were evaluated on a 100 point scale. Paired t-test and McNemar's Test statistics were employed. RESULTS: The participants scored an average of 46.5 (14.0%) on knowledge on breast self-examination before training, but 77.4 (11.0%) one month after education and 76.7 (9.52%) after six months. There was a clear significant difference between these knowledge levels (p<0.05). Similarly, while the rate for systematic practice of breast self-examination among women was 30.8% before training it increased to 47.8% afterwards. Again the difference was significant (p<0.05). CONCLUSIONS: Online education is an effective method for teaching breast self-examination to women.

Determining the factors that affect breast cancer and self breast examination beliefs of Turkish nurses in academia.

PURPOSE: To define factors that affect the performance status of BSE and confidence of student nurses. MATERIALS AND METHODS: This descriptive study was conducted in the academic year 2010-2011 in a nursing faculty in I?zmir, Turkey. "Informative data form" and "Champion's Revised Health Belief Model Scale (CHBMS)" were used as data collection forms. RESULTS: The mean age of the participant nurses was 21.0±1.49. The mean CHMS scores of the student nurses were as follows: perceived susceptibility regarding breast cancer, 7.78±2.46; perceived seriousness regarding breast cancer, 22.4±5.43; perceived benefit regarding BSE application, 20.5±4.45; perceived barriers regarding BSE application, 23.8±7.13; perceived confidence regarding BSE application, 36.3±7.78; the mean score of health motivation sub-scale, 25.7±4.59; and mean of the total score of the scale, 36.5±15.01. CONCLUSIONS: The outcomes obtained in this study indicated the importance of better education to student nurses, who have a key role in teaching preventive health behaviour including BSE to society and other university students as colleagues.

Retrospective analyses of reasons why children with newly diagnosed type 1 diabetes visit the emergency department.

OBJECTIVES: This retrospective study evaluates the clinical and laboratory values of children with type 1 diabetes at the time of first admission to the emergency service. Methods : It is a retrospective study to examine the clinical & laboratory findings of children visiting the emergency service between 2009 & 2012. The sample of the study included 111 children with newly diagnosed type 1 diabetes. Student t test and chi-square test were used in the analysis. RESULTS: HbA1c and blood glucose levels and ketoacidosis frequency was found significantly changed (p<0.05). It was detected that the frequency of ketoacidosis at the time of diagnosis was 60% in the children with type 1 diabetes while it was 45% in the second group and 34% in the third group. This difference at the time of admisison was found to be statistically significant (p<0.05). CONCLUSION: It became possible to diagnose children with type 1 diabetes much earlier over the course of time, and the number of patients that could be treated before severe diabetic ketoacidosis developed increased. This results is of great importance as it will provide a guide for all medical professionals including nurses.

The effect of self-directed learning abilities of student nurses on success in Turkey.

SDL-self-directed learning is a learning method used increasingly in adult education. This study was carried out as an instructive effort to examine the effects of SDL on the success of students from nursing school. The sample of this study was composed of 220 students attending in Nursing School of Dokuz Eyül University during the fall semester of 2006. SDL scale including 40 questions was used to obtain the data. Kocaman et al. verified and validated the reliability of scale in Turkey. The data was evaluated by using Pearson correlation analysis. As a result of research, a positive meaningful average relation was found between the points of SDL and success of the students. (p<0.01, r: .60).

The effects of web-based diabetes education on diabetes care results: a randomized control study.

This study aimed to test the effects of providing Web-based diabetes education to individuals with type 2 diabetes on the A1c level and health check attendance. The study participants comprised 122 individuals with type 2 diabetes, who had access to the Internet, had completed their basic diabetes education, and had similar basic situational factors. Using a randomization method, these participants were chosen from the patients being monitored by the diabetes nurses. The experimental group (n = 61) was monitored via the Web. From measurements recorded in the sixth month of monitoring, we found that A1c levels of the individuals with diabetes who were monitored through the Web decreased (t = 6.63; P < .05), and the rate of attending health check visits increased (z = 5.97; P< .05), while no difference was detected in the control group (t = -0.63; P = .534; z = -0.80; P = .426). To maintain glycemic control, Web use could be adopted as a complementary tool for monitoring individuals with diabetes.

The effects of web-based diabetes education on diabetes care results: a randomized control study.

This study aimed to test the effects of providing Web-based diabetes education to individuals with type 2 diabetes on the A1c level and health check attendance. The study participants comprised 122 individuals with type 2 diabetes, who had access to the Internet, had completed their basic diabetes education, and had similar basic situational factors. Using a randomization method, these participants were chosen from the patients being monitored by the diabetes nurses. The experimental group (n = 61) was monitored via the Web. From measurements recorded in the sixth month of monitoring, we found that A1c levels of the individuals with diabetes who were monitored through the Web decreased (t = 6.63; P < .05), and the rate of attending health check visits increased (z = 5.97; P< .05), while no difference was detected in the control group (t = -0.63; P = .534; z = -0.80; P = .426). To maintain glycemic control, Web use could be adopted as a complementary tool for monitoring individuals with diabetes.