1.Effects of Mobile Phone-Based App Learning Compared to Computer-Based Web Learning on Nursing Students: Pilot Randomized Controlled Trial.
Healthcare Informatics Research 2015;21(2):125-133
OBJECTIVES: This study aimed to determine the effect of mobile-based discussion versus computer-based discussion on self-directed learning readiness, academic motivation, learner-interface interaction, and flow state. METHODS: This randomized controlled trial was conducted at one university. Eighty-six nursing students who were able to use a computer, had home Internet access, and used a mobile phone were recruited. Participants were randomly assigned to either the mobile phone app-based discussion group (n = 45) or a computer web-based discussion group (n = 41). The effect was measured at before and after an online discussion via self-reported surveys that addressed academic motivation, self-directed learning readiness, time distortion, learner-learner interaction, learner-interface interaction, and flow state. RESULTS: The change in extrinsic motivation on identified regulation in the academic motivation (p = 0.011) as well as independence and ability to use basic study (p = 0.047) and positive orientation to the future in self-directed learning readiness (p = 0.021) from pre-intervention to post-intervention was significantly more positive in the mobile phone app-based group compared to the computer web-based discussion group. Interaction between learner and interface (p = 0.002), having clear goals (p = 0.012), and giving and receiving unambiguous feedback (p = 0.049) in flow state was significantly higher in the mobile phone app-based discussion group than it was in the computer web-based discussion group at post-test. CONCLUSIONS: The mobile phone might offer more valuable learning opportunities for discussion teaching and learning methods in terms of self-directed learning readiness, academic motivation, learner-interface interaction, and the flow state of the learning process compared to the computer.
Cellular Phone
;
Humans
;
Internet
;
Learning*
;
Mobile Applications
;
Motivation
;
Students, Nursing*
2.Perceptions of Healthcare Workers of Health Risks of Electromagnetic Fields.
Minsu OCK ; So Yun LIM ; Hwa Jung KIM ; Hyun Mi RYU ; Nari YI ; Moo Song LEE
Korean Journal of Health Promotion 2015;15(2):39-46
BACKGROUND: This study assessed the perceptions of healthcare staff of the health risks of exposure to electromagnetic fields (EMF). METHODS: In total, 328 healthcare workers (e.g., physicians, nurses, medical students, and paramedics) completed a self-administered questionnaire. The questionnaire assessed the following: risk perceptions of 17 environmental factors as potential health threats; EMF sources; information for the potential risks of EMF; and thoughts on how to protect the public from potential EMF-related health risks. RESULTS: Of the included environmental factors, high-tension power lines and mobile phone handsets were ranked as the second and fourth lowest perceived risk, respectively. Approximately 60% of respondents were concerned about the potential health risks of EMF and dissatisfied with the information they received. The main reason for dissatisfaction was insufficient information. The most frequently cited action was that the government should review the available scientific evidence on potential EMF-related health risks. CONCLUSIONS: Having scientific basis through well-designed researches and providing accurate information to the public on the potential health risks of EMF will be important in the future.
Cellular Phone
;
Surveys and Questionnaires
;
Delivery of Health Care*
;
Electromagnetic Fields*
;
Humans
;
Students, Medical
3.Energy expenditure measurement of various physical activity and correlation analysis of body weight and energy expenditure in elementary school children.
Jae Hee KIM ; Hee Ryoung SON ; Jung Sook CHOI ; Eun Kyung KIM
Journal of Nutrition and Health 2015;48(2):180-191
PURPOSE: There is a lack of data on the energy cost of children's everyday activities, adult values are often used as surrogates. In addition, the influence of body weight on the energy cost of activity when expressed as metabolic equivalents (METs) has not been vigorously explored. METHODS: In this study 20 elementary school students 9~12 years of age completed 18 various physical activities while energy expenditure was measured continuously using a portable telemetry gas exchange system (K4b2, Cosmed, Rome, Italy). RESULTS: The average age was 10.4 years and the average height and weight was 145.1 cm and 43.6 kg, respectively. Oxygen consumption (VO2), energy expenditure and METs at the time of resting of the subjects were 5.41 mL/kg/min, 1.44 kcal/kg/h, and 1.5 METs, respectively. METs values by 18 physical activities were as follows: Homework and reading books (1.6 METs), playing game with a mobile phone or video while sitting (1.6 METs), watching TV while sitting on a comfortable chair (1.7 METs), playing video game or mobile phone game while standing (1.9 METs), sweeping a room with a broom (2.7 METs) and playing a board game (2.8 METs) belong to light intensity physical activities. By contrary, speedy walking and running were 6.6 and 6.7 METs, respectively, which belong to high intensity physical activities over 6.0 METs. When the effect of body weight on physical activity energy expenditure was determined, R2 values increased with 0.116 (playing a game at sitting), 0.176 (climbing up and down stairs), 0.246 (slow walking), and 0.455 (running), which showed that higher activity intensity increased explanation power of body weight on METs value. CONCLUSION: This study is important for direct evaluation of energy expenditure by physical activities of children, and it could be used directly for revising and complementing the existing activity classification table to fit for children.
Adult
;
Body Weight*
;
Cellular Phone
;
Child*
;
Classification
;
Complement System Proteins
;
Cytisus
;
Energy Metabolism*
;
Humans
;
Metabolic Equivalent
;
Motor Activity*
;
Oxygen Consumption
;
Running
;
Telemetry
;
Video Games
;
Walking
4.Smartphones and health.
Journal of the Korean Medical Association 2015;58(1):42-48
The use of smartphones has rapidly increased over the past few years. With the increasing use of smartphones, concern has been raised about the potential harmful effects on human health. In 2011, the International Agency for Research on Cancer of the World Health Organization classified radiofrequency electromagnetic fields as possibly carcinogenic to humans (group 2B) based on an increased risk for glioma associated with wireless phone use (i.e. mobile phones). In addition, several meta-analyses of case-control studies reported an increased risk of tumors associated with the use of mobile phones. Moreover, it has been reported that the overuse of mobile phones is associated with reproductive risks, addiction, and phantom vibration and ringing syndrome. Further large prospective cohort studies and randomized controlled trials are needed to confirm these associations. Until clear evidence is available that the use of smartphones is safe, their overuse should be avoided.
Case-Control Studies
;
Cellular Phone
;
Cohort Studies
;
Electromagnetic Fields
;
Glioma
;
Humans
;
International Agencies
;
Vibration
;
World Health Organization
5.Relationships Among Preschoolers' Smartphone Addiction Tendency, Their Problem Behaviors, and Parenting Efficacy of Their Mothers.
Hyun Joo LEE ; Sun Mi CHAE ; Kyung Sook BANG ; Heeseung CHOI
Child Health Nursing Research 2015;21(2):107-114
PURPOSE: The purpose of this study was to explore the relationships among preschoolers' smartphone addiction tendency, problem behaviors, and parenting efficacy of the mothers of these children. METHODS: A cross-sectional, descriptive study design was used with self-administered questionnaires. A total of 83 mothers of preschoolers aged 4-6 years and their preschool teachers from a kindergarten participated in the study. RESULTS: Mean daily time spent by the preschoolers on smartphones was about 45 minutes/day. About 40% spent more than 60 minutes/day on smartphones. The majority (69.8%) used smartphones without adult supervision. The level of smartphone addiction tendency among the preschoolers was 1.52+/-0.45 on a 4-point scale. Preschoolers whose mothers use smartphones for more than 60 minutes/day showed a higher level of smartphone addiction tendency than preschoolers whose mothers use smartphones for less than 60 minutes/day. Also smartphone addiction tendency among preschoolers had a positive correlation with hyperactive-distractible behavior (r=.228, p=.038) and a negative correlation with parenting efficacy of their mothers (r=-.299, p=.006). CONCLUSION: Our findings demonstrated that preschooler's smartphone addiction tendency is significantly associated with hyperactive-distractible behaviors of the children and low parenting efficacy among their mothers. Therefore well-designed care plans for these populations should be provided to decrease smartphone addiction tendency.
Adult
;
Cellular Phone
;
Child
;
Child, Preschool
;
Humans
;
Mothers*
;
Organization and Administration
;
Parenting*
;
Parents*
;
Smartphone
;
Surveys and Questionnaires
6.Relationships Among Preschoolers' Smartphone Addiction Tendency, Their Problem Behaviors, and Parenting Efficacy of Their Mothers.
Hyun Joo LEE ; Sun Mi CHAE ; Kyung Sook BANG ; Heeseung CHOI
Child Health Nursing Research 2015;21(2):107-114
PURPOSE: The purpose of this study was to explore the relationships among preschoolers' smartphone addiction tendency, problem behaviors, and parenting efficacy of the mothers of these children. METHODS: A cross-sectional, descriptive study design was used with self-administered questionnaires. A total of 83 mothers of preschoolers aged 4-6 years and their preschool teachers from a kindergarten participated in the study. RESULTS: Mean daily time spent by the preschoolers on smartphones was about 45 minutes/day. About 40% spent more than 60 minutes/day on smartphones. The majority (69.8%) used smartphones without adult supervision. The level of smartphone addiction tendency among the preschoolers was 1.52+/-0.45 on a 4-point scale. Preschoolers whose mothers use smartphones for more than 60 minutes/day showed a higher level of smartphone addiction tendency than preschoolers whose mothers use smartphones for less than 60 minutes/day. Also smartphone addiction tendency among preschoolers had a positive correlation with hyperactive-distractible behavior (r=.228, p=.038) and a negative correlation with parenting efficacy of their mothers (r=-.299, p=.006). CONCLUSION: Our findings demonstrated that preschooler's smartphone addiction tendency is significantly associated with hyperactive-distractible behaviors of the children and low parenting efficacy among their mothers. Therefore well-designed care plans for these populations should be provided to decrease smartphone addiction tendency.
Adult
;
Cellular Phone
;
Child
;
Child, Preschool
;
Humans
;
Mothers*
;
Organization and Administration
;
Parenting*
;
Parents*
;
Smartphone
;
Surveys and Questionnaires
7.Cell Phone Addiction in School-Age Children and Related Factors.
Child Health Nursing Research 2015;21(1):55-63
PURPOSE: The purpose of this study was to identify cell phone addiction in school-age children and factors influencing addiction. METHODS: The participants were 163 parents of elementary school students in the 1st to 4th grades. Data were collected through self-report questionnaires completed by the parents, and analyzed using the SPSS/WIN 19.0 IBM program. RESULTS: Of the children, 86.5% were reported as being average users, 9.2%, at risk users, and 4.3%, at high risk users. Cell phone addiction in the children was significantly different according to games played by the children and parents' monthly income. Significant factors influencing cell phone addiction in the children were children's self-control, games played by the children, parents' cell phone addiction and parental control for children's cell phone use, explaining 24% of variance in cell phone addiction. CONCLUSION: The findings indicate that cell phone addiction in school-age children is influenced by parent-related factors as well as personal factors. Therefore approaches to education programs on cell phone use in school-age children should include parent-related factors as well as personal factors of the children.
Behavior, Addictive
;
Cellular Phone*
;
Child*
;
Education
;
Humans
;
Parents
;
Surveys and Questionnaires
8.Development of Cell Phone Application for Blood Glucose Self-Monitoring Based on ISO/IEEE 11073 and HL7 CCD.
Hyun Sang PARK ; Hune CHO ; Hwa Sun KIM
Healthcare Informatics Research 2015;21(2):83-94
OBJECTIVES: The objectives of this research were to develop and evaluate a cell phone application based on the standard protocol for personal health devices and the standard information model for personal health records to support effective blood glucose management and standardized service for patients with diabetes. METHODS: An application was developed for Android 4.0.3. In addition, an IEEE 11073 Manager, Medical Device Encoding Rule, and Bluetooth Health Device Profile Connector were developed for standardized health communication with a glucometer, and a Continuity of Care Document (CCD) Composer and CCD Parser were developed for CCD document exchange. The developed application was evaluated by five healthcare professionals and 87 users through a questionnaire comprising the following variables: usage intention, effort expectancy, social influence, facilitating condition, perceived risk, and voluntariness. RESULTS: As a result of the evaluation of usability, it was confirmed that the developed application is useful for blood glucose self-monitoring by diabetic patients. In particular, the healthcare professionals stated their own views that the application is useful to observe the trends in blood glucose change through the automatic function which records a blood glucose level measured using Bluetooth function, and the function which checks accumulated records of blood glucose levels. Also, a result of the evaluation of usage intention was 3.52 +/- 0.42 out of 5 points. CONCLUSIONS: The application developed by our research team was confirmed by the verification of healthcare professionals that accurate feedback can be provided to healthcare professionals during the management of diabetic patients or education for glucose management.
Blood Glucose
;
Blood Glucose Self-Monitoring*
;
Cellular Phone*
;
Continuity of Patient Care
;
Delivery of Health Care
;
Education
;
Glucose
;
Health Communication
;
Health Records, Personal
;
Humans
;
Intention
;
Surveys and Questionnaires
9.Health and Social Media: Perfect Storm of Information.
Luis FERNANDEZ-LUQUE ; Teresa BAU
Healthcare Informatics Research 2015;21(2):67-73
OBJECTIVES: The use of Internet in the health domain is becoming a major worldwide trend. Millions of citizens are searching online health information and also publishing content about their health. Patients are engaging with other patients in online communities using different types of social media. The boundaries between mobile health, social media, wearable, games, and big data are becoming blurrier due the integration of all those technologies. In this paper we provide an overview of the major research challenges with the area of health social media. METHODS: We use several study cases to exemplify the current trends and highlight future research challenges. RESULTS: Internet is exploding and is being used for health purposes by a great deal of the population. Social networks have a powerful influence in health decisions. Given the lack of knowledge on the use of health social media, there is a need for complex multidisciplinary research to help us understand how to use social networks in favour of public health. A bigger understanding of social media will give health authorities new tools to help decision-making at global, national, local, and corporate level. CONCLUSIONS: There is an unprecedented amount of data that can be used in public health due the potential combination of data acquired from mobile phones, Electronic Health Records, social media, and other sources. To identify meaningful information from those data sources it is not trial. Moreover, new analytics tools will need to be developed to analyse those sources of data in a way that it can benefit healthcare professionals and authorities.
Cellular Phone
;
Delivery of Health Care
;
Electronic Health Records
;
Health Communication
;
Humans
;
Information Storage and Retrieval
;
Internet
;
Public Health
;
Public Health Informatics
;
Social Media*
;
Telemedicine
10.Communication for Medical Advices between Prehospital Providers and Physician Medical Directors.
Sang Heon JUNG ; Jinwoo JEONG ; Jun Young CHUNG ; Young Hyun YUN ; Jae Hoon LEE
Journal of the Korean Society of Emergency Medicine 2015;26(5):430-436
PURPOSE: On-line medical control, in addition to indirect control like protocols, is known to exert a positive effect on the quality of prehospital care. Because the decision-making process of directing physicians depends on the information provided by prehospital providers via telecommunication, brief and organized reporting of significant points is of paramount importance. METHODS: Telecommunications regarding direct medical control provided by emergency physicians in a university hospital were recorded from May 1 to June 30, 2012. All communications were between cellular phones. Analysis of the recorded dialogues was performed by an independent researcher. RESULTS: A total of 115 cases were included for analyses. Affiliated fire offices were reported in 107 (93.0%) cases, while certification of responding officers was reported in only 62 (53.9%) cases. All five vital signs were reported in only 9 cases (7.8%), including blood pressure, heart rate, respiration rate, temperature, and oxygen saturation. Procedures delivered before telephone contact were reported in 30.4% of cases, and reporting rate of patient response to treatment was 16.5%. Estimated times of arrival to the destined hospital were reported in only 8.7%. CONCLUSION: Reporting procedures regarding prehospital direct medical control should be concise and comprehensive, including essential elements like certification of the provider, consciousness and vital signs of the patient, and estimated time of hospital arrival.
Blood Pressure
;
Cellular Phone
;
Certification
;
Consciousness
;
Emergencies
;
Emergency Medical Service Communication Systems
;
Emergency Medical Services
;
Fires
;
Heart Rate
;
Humans
;
Oxygen
;
Physician Executives*
;
Respiratory Rate
;
Telecommunications
;
Telephone
;
Vital Signs

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