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1.
Am J Cardiol ; 153: 125-128, 2021 08 15.
Article En | MEDLINE | ID: mdl-34229856

Mobile electrocardiogram (mECG) devices are being used increasingly, supplying recordings to providers and providing automatic rhythm interpretation. Given the intermittent nature of certain cardiac arrhythmias, mECGs allow instant access to a recording device. In the current COVID-19 pandemic, efforts to limit in-person patient interactions and avoid overwhelming emergency and inpatient services would add value. Our goal was to evaluate whether a mECG device would reduce healthcare utilization overall, particularly those of urgent nature. We identified a cohort of KardiaMobile (AliveCor, USA) mECG users and compared their healthcare utilization 1 year prior to obtaining the device and 1 year after. One hundred and twenty-eight patients were studied (mean age 64, 47% female). Mean duration of follow-up pre-intervention was 9.8 months. One hundred and twenty-three of 128 individuals completed post-intervention follow-up. Patients were less likely to have cardiac monitors ordered (30 vs 6; p <0.01), outpatient office visits (525 vs 382; p <0.01), cardiac-specific ED visits (51 vs 30; p <0.01), arrhythmia related ED visits (45 vs 20; p <0.01), and unplanned arrhythmia admissions (34 vs 11; p <0.01) in the year after obtaining a KardiaMobile device compared to the year prior to obtaining the device. Mobile technology is available for heart rhythm monitoring and can give feedback to the user. This study showed a reduction of in-person, healthcare utilization with mECG device use. In conclusion, this strategy would be expected to decrease the risk of exposure to patients and providers and would avoid overwhelming emergency and inpatient services.


Arrhythmias, Cardiac/diagnosis , COVID-19/epidemiology , Computers, Handheld/statistics & numerical data , Electrocardiography/instrumentation , Monitoring, Physiologic/methods , Outpatients/statistics & numerical data , Pandemics , Patient Acceptance of Health Care/statistics & numerical data , Arrhythmias, Cardiac/epidemiology , Arrhythmias, Cardiac/physiopathology , Comorbidity , Female , Humans , Male , Middle Aged , Retrospective Studies , United States/epidemiology
2.
Int J Aging Hum Dev ; 92(3): 383-405, 2021 04.
Article En | MEDLINE | ID: mdl-32098476

In recent years, a special group of elderly migrants emerged in some developing countries, namely "trailing parents," who migrated with adult children in their later years. Lots of developing countries such as China have an increasing number of old people using mobile social media for social interaction, information, and entertainment. Based on social capital theory, we developed a research model and investigated the relationship between mobile social media use (MSMU) and social capital, social integration, and life satisfaction of trailing parents. We completed an empirical study by collecting 244 valid samples. The results show that MSMU has a positive impact on trailing parents' life satisfaction, and bonding social capital, bridging social capital and social integration are all important predictors of trailing parents' life satisfaction. Furthermore, social capital and social integration play an important chain mediation role in the relationship between MSMU and trailing parents' life satisfaction.


Computers, Handheld/statistics & numerical data , Parents/psychology , Personal Satisfaction , Social Capital , Social Integration , Social Media/statistics & numerical data , Aged , China , Female , Humans , Male , Middle Aged
3.
Emerg Med J ; 38(4): 258-262, 2021 Apr.
Article En | MEDLINE | ID: mdl-32900855

BACKGROUND: Staff use of smartphones and tablets in the healthcare setting is increasingly prevalent, but little is known about whether this use is acceptable to patients. Staff are concerned that the use of handheld electronic devices (HEDs) may be negatively misconstrued by patients. The HED can be a valuable tool, offering the emergency clinician access to a wealth of resources; it is therefore vital that patient views are addressed during their widespread adoption into clinical practice. METHODS: Patients, or those accompanying them, within the ED of the Royal Derby Hospital between April and June 2017 were asked to complete a survey consisting of 22 questions. Data collection took place to include all times of day and every day of the week. Every eligible individual within the department during a data collection period was approached. RESULTS: A total of 438 respondents successfully completed the survey with a response rate of 92%. Only 2% of those who observed staff using HEDs during their ED visit thought that they were being used for non-clinical purposes. 339 (78%) agreed that staff should be allowed to use HEDs in the workplace. Concerns expressed by respondents included devices being used for non-clinical purposes and data security. The main suggestion by respondents was that the purpose of the HEDs should be explained to patients to avoid misinterpretation. CONCLUSION: Our survey shows that the majority of survey respondents felt that clinical staff should be allowed to use HEDs in the workplace and that many of the concerns raised could be addressed with adequate patient information and clear governance.


Computers, Handheld/statistics & numerical data , Patient Care/instrumentation , Adolescent , Adult , Aged , Aged, 80 and over , Attitude of Health Personnel , Cross-Sectional Studies , Emergency Service, Hospital/organization & administration , Emergency Service, Hospital/statistics & numerical data , England , Female , Humans , Male , Middle Aged , Patient Care/methods , Surveys and Questionnaires
4.
Rev. bras. oftalmol ; 80(5): e0046, 2021. graf
Article En | LILACS | ID: biblio-1347262

ABSTRACT Objective To investigate relations between electronic screen use and eye health in a representative sample of the Brazilian population. Methods Data were collected online and analyzed at a private Brazilian hospital (Provisão Hospital, Maringá, Brazil). Male and female individuals aged 12 to 35 years participated in the study. A population-based cross-sectional survey based on a questionnaire developed using the Google Forms interface was carried out. The questionnaire was answered anonymously in order to ensure the confidentiality of data and the privacy of participants. Data were collected between October 13, 2020, and January 30, 2021. Results A total of 200 questionnaires were completed. Most responders were young people aged 18 to 27 years. Daily electronic device use time reported by responders ranged from more than 5 hours (150; 75.5%) to 3 to 5 hours/day (28; 14%) or 2 to 3 hours/day (16; 8%). Only a small proportion of responders (2.5%) used these devices less than 1 hour per day. Most participants had myopia (164; 84%) and/or astigmatism (151; 75.5%), whereas keratoconus was less prevalent (34; 17%). However, 92 participants were unable to say whether they had these diseases or not. Most participants reported eye symptoms after screen use (red eyes, fatigue, dry and gritty eyes and blurred vision). Mental issues such as smartphone dependence and difficulties to communicate while using electronic devices were also addressed. Most responders reported dependence and communication problems. Conclusions Most young people in this sample had sings of eye disease, including keratoconus. Smartphone dependence and addition was also observed. Findings presented may inform future studies and help health authorities to properly guide public health strategies aimed at eye disease prevention.


RESUMO Objetivo Investigar o uso de telas na saúde ocular em uma amostra populacional brasileira. Métodos Os dados foram adquiridos on-line, e as análises foram realizadas em uma clínica privada na Região Sul do Brasil. Os participantes foram indivíduos de 12 a 35 anos, de ambos os sexos. Foi realizada pesquisa transversal de base populacional por meio de questionário elaborado na plataforma Google Forms. O questionário foi respondido de forma anônima, mantendo o sigilo dos dados coletados e a privacidade dos participantes. A coleta de dados teve início em 13 de outubro de 2020 e término em 30 de janeiro de 2021. Resultados Foram respondidos 200 questionários. A maioria foi de jovens entre 18 e 27 anos. O tempo de uso de dispositivos eletrônicos durante o dia foi de mais de 5 horas para 150 (75,5%) entrevistados, 28 (14%) gastavam de 3 a 5 horas por dia, 16 (8%) de 2 a 3 horas por dia e uma pequena parte dos entrevistados (2,5%) usava menos de 1 hora por dia. A maioria dos participantes tinha miopia (164; 84%) e/ou astigmatismo (151; 75,5%). Ceratocone foi menos prevalente (34; 17%), entretanto 92 pessoas não sabiam a resposta. A maioria dos participantes teve problemas nos olhos após o uso da tela, como olhos vermelhos, cansados e secos, além de visão turva. Questões mentais, como dependência de smartphones e dificuldade de comunicação durante o uso do dispositivo, também foram abordadas. A maioria dos entrevistados demonstrou dependência e problemas de comunicação. Conclusões A maior parte dos jovens apresentou quadro de doenças oculares, incluindo ceratocone. Dependência e adição de smartphone também foram observados. Esses resultados apoiam a identificação de fatores associados à patologia ocular, servindo de base para estudos futuros, e podem auxiliar às autoridades de saúde no direcionamento adequado das atividades de prevenção e controle em saúde pública.


Humans , Male , Female , Child , Adolescent , Adult , Television/statistics & numerical data , Vision Disorders/epidemiology , Computers/statistics & numerical data , Cell Phone/statistics & numerical data , Eye Diseases/epidemiology , Screen Time , Mental Disorders/epidemiology , Mental Health/statistics & numerical data , Surveys and Questionnaires , Cohort Studies , Video Games/statistics & numerical data , Computers, Handheld/statistics & numerical data , Social Media/statistics & numerical data , Smartphone/statistics & numerical data , Internet Addiction Disorder/epidemiology
5.
Health Lit Res Pract ; 4(4): e200-e207, 2020 10 08.
Article En | MEDLINE | ID: mdl-33034662

BACKGROUND: Health literacy is an area of growing research and clinical interest, necessitating short, accurate measures of this complex construct. Health Literacy Assessment Using Talking Touchscreen Technology (Health LiTT) measures prose, document, and quantitative literacy by self-administration on a touchscreen computer. OBJECTIVE: The objective of this study was to assess the validity of a short form of Health LiTT and to identify a meaningful cutoff score for adequate health literacy. METHODS: A subsample of 137 participants from the Literacy and Cognitive Function among Older Adults study completed a 10-item Health LiTT short form and three interviewer-administered health literacy measures: Test of Functional Health Literacy in Adults (TOFHLA), Rapid Estimate of Adult Literacy in Medicine (REALM), and Newest Vital Sign (NVS). Convergent validity was assessed by correlating scores for all measures, and known-groups validity was assessed by comparing mean Health LITT scores across TOFHLA levels (inadequate, marginal, adequate). Internal consistency reliability was estimated with Cronbach's alpha. A cutoff score for adequate health literacy was established using the TOFHLA cutoff for adequate versus inadequate/marginal health literacy. KEY RESULTS: Spearman correlations between Health LiTT scores and total TOFHLA, REALM, and NVS scores were 0.65, 0.69, and 0.56, respectively (all p < .001). Mean Health LiTT scores were significantly and meaningfully different across inadequate (40.4), marginal (50.1), and adequate (57.1) TOFHLA categories (F = 60.6; p < .001). Cronbach's alpha for the Health LiTT short form was .73. A cutoff score of 55 on Health LiTT showed acceptable sensitivity and specificity to identify adequate health literacy. CONCLUSIONS: This 10-item Health LiTT short form demonstrated excellent convergent and known-groups validity and acceptable internal consistency reliability in older adults. The established cutoff also showed excellent sensitivity and specificity. Validation of other custom Health LiTT short forms with varying items from the bank and computer adaptive test-generated Health LiTT scores is ongoing. [HLRP: Health Literacy Research and Practice. 2020;4(4):e200-e207.] PLAIN LANGUAGE SUMMARY: This article provides evidence of the need for and psychometric properties of a valid and reliable short form of the flexible, technologically advanced Health Literacy Assessment Using Talking Touchscreen Technology measure, as well as a cutoff score to note adequate versus marginal/inadequate health literacy.


Health Literacy/standards , Psychometrics/standards , Aged , Computer Terminals/standards , Computer Terminals/statistics & numerical data , Computers, Handheld/standards , Computers, Handheld/statistics & numerical data , Female , Health Literacy/methods , Health Literacy/statistics & numerical data , Humans , Male , Middle Aged , Psychometrics/instrumentation , Psychometrics/methods , Reproducibility of Results , Surveys and Questionnaires
6.
JAMA Pediatr ; 174(12): e203345, 2020 12 01.
Article En | MEDLINE | ID: mdl-32897299

Importance: Child-directed mobile applications (apps) have been found to collect digital identifiers and transmit them to third-party companies, a potential violation of federal privacy rules. This study seeks to examine the differences in app data collection and sharing practices by evaluating the sociodemographic characteristics of the children who play them. Objective: To examine data collection and sharing practices of 451 apps played by young children and to test associations with child sociodemographic characteristics. Design, Setting, and Participants: This study used data from the baseline phase of the Preschooler Tablet Study, a prospective cohort study conducted from August 2018 to January 2020. This study used a population-based sample. A convenience sample of the parents of preschool-aged children was recruited from pediatric offices, childcare centers, social media posts, and an online participant registry. Eligibility criteria included (1) parent or guardian of a child aged 3 to 5 years, (2) parent or guardian who lived with the child at least 5 days per week, (3) participants who spoke English, and (4) a child who used an Android (Google LLC) device. All interactions with participants were through email, online surveys, and mobile device sampling. Exposures: Sociodemographic characteristics were assessed by parental report. Main Outcomes and Measures: This study tested the hypothesis that data transmissions to third-party domains are more common in apps played by children from low-socioeconomic-status homes. Child app usage was assessed via a mobile sampling app for an average of 9 days. Persistent identifier data transmissions to third-party domains were quantified for each app using an instrumented Android environment with monitoring of network traffic; for each child, the counts of total data transmissions were calculated, and the total third-party domains were detected for the apps they played. Results: Our sample comprised 124 children who used Android devices (35 tablets, 89 smartphones; 65 girls [52%]; mean [SD] age, 3.85 [0.57] years; 87 non-Hispanic White [71%]). One hundred twenty of participating parents (97%) were women. Of 451 apps tested, 303 (67%) transmitted persistent identifiers to 1 to 33 third-party domains. Child data transmission counts ranged from 0 to 614 (median [interquartile range], 5.0 [1-17.5]) and third-party domain counts from 0 to 399 (4.0 [1-12.5]). In multivariable negative binomial regression models, higher transmission and third-party domain rates per app were positively associated with older age (rate ratio, 1.67 [95% CI, 1.20-2.33]; P = .002 and 1.69 [95% CI, 1.26-2.27]; P < .001, respectively) and lower parent educational attainment (eg, high school or General Educational Development or less rate ratio, 2.29 [95% CI, 1.20-4.39]; P = .003 and 2.05 [95% CI, 1.13-3.70]; P < .02, respectively), but not with household income. Conclusions and Relevance: This study found that apps used by young children had a high frequency of persistent identifier transmissions to third-party companies, suggesting that federal privacy rules are not being enforced. Older children, those with their own devices, or those from lower-education households may be at higher risk of potential privacy violations.


Child Welfare/statistics & numerical data , Computers, Handheld/statistics & numerical data , Confidentiality/standards , Mobile Applications/statistics & numerical data , Play and Playthings , Child , Child, Preschool , Female , Humans , Prospective Studies
7.
BMC Public Health ; 20(1): 1295, 2020 Aug 26.
Article En | MEDLINE | ID: mdl-32847553

BACKGROUND: The purpose of this study was to examine whether extended use of a variety of screen-based devices, in addition to television, was associated with poor dietary habits and other health-related characteristics and behaviors among US adults. The recent phenomenon of binge-watching was also explored. METHODS: A survey to assess screen time across multiple devices, dietary habits, sleep duration and quality, perceived stress, self-rated health, physical activity, and body mass index, was administered to a sample of US adults using the Qualtrics platform and distributed via Amazon Mechanical Turk (MTurk). Participants were adults 18 years of age and older, English speakers, current US residents, and owners of a television and at least one other device with a screen. Three different screen time categories (heavy, moderate, and light) were created for total screen time, and separately for screen time by type of screen, based on distribution tertiles. Kruskal-Wallis tests were conducted to examine differences in dietary habits and health-related characteristics between screen time categories. RESULTS: Aggregate screen time across all devices totaled 17.5 h per day for heavy users. Heavy users reported the least healthful dietary patterns and the poorest health-related characteristics - including self-rated health - compared to moderate and light users. Moreover, unique dietary habits emerged when examining dietary patterns by type of screen separately, such that heavy users of TV and smartphone displayed the least healthful dietary patterns compared to heavy users of TV-connected devices, laptop, and tablet. Binge-watching was also significantly associated with less healthy dietary patterns, including frequency of fast-food consumption as well as eating family meals in front of a television, and perceived stress. CONCLUSIONS: The present study found that poorer dietary choices, as well as other negative health-related impacts, occurred more often as the viewing time of a variety of different screen-based devices increased in a sample of US adults. Future research is needed to better understand what factors among different screen-based devices might affect health behaviors and in turn health-related outcomes. Research is also required to better understand how binge-watching behavior contributes impacts health-related behaviors and characteristics.


Computers, Handheld/statistics & numerical data , Diet/psychology , Health Behavior , Screen Time , Television/statistics & numerical data , Adult , Female , Humans , Male , Middle Aged , Stress, Psychological/psychology , Surveys and Questionnaires , Time Factors , United States
8.
Pediatrics ; 146(1)2020 07.
Article En | MEDLINE | ID: mdl-32482771

BACKGROUND AND OBJECTIVES: Child mobile device use is increasingly prevalent, but research is limited by parent-report survey methods that may not capture the complex ways devices are used. We aimed to implement mobile device sampling, a set of novel methods for objectively measuring child mobile device use. METHODS: We recruited 346 English-speaking parents and guardians of children aged 3 to 5 years to take part in a prospective cohort study of child media use. All interactions with participants were through e-mail, online surveys, and mobile device sampling; we used a passive-sensing application (Chronicle) in Android devices and screenshots of the battery feature in iOS devices. Baseline data were analyzed to describe usage behaviors and compare sampling output with parent-reported duration of use. RESULTS: The sample comprised 126 Android users (35 tablets, 91 smartphones) and 220 iOS users (143 tablets, 77 smartphones); 35.0% of children had their own device. The most commonly used applications were YouTube, YouTube Kids, Internet browser, quick search or Siri, and streaming video services. Average daily usage among the 121 children with their own device was 115.3 minutes/day (SD 115.1; range 0.20-632.5) and was similar between Android and iOS devices. Compared with mobile device sampling output, most parents underestimated (35.7%) or overestimated (34.8%) their child's use. CONCLUSIONS: Mobile device sampling is an unobtrusive and accurate method for assessing mobile device use. Parent-reported duration of mobile device use in young children has low accuracy, and use of objective measures is needed in future research.


Computers, Handheld/statistics & numerical data , Screen Time , Child, Preschool , Female , Humans , Male , Prospective Studies , Smartphone/statistics & numerical data
9.
Curr HIV/AIDS Rep ; 17(4): 269-280, 2020 08.
Article En | MEDLINE | ID: mdl-32507984

PURPOSE OF REVIEW: The purpose of this review is to describe and assess the literature on mobile health (mHealth) and other technology-based HIV testing interventions published in the 5-year period from 2015 to 2020. RECENT FINDINGS: We identified 18 published technology-based studies, 6 of which were efficacy trials and the remaining 12 were either pilot randomized controlled trials (RCTs) or quasi-experimental studies. Most (n = 10) interventions were conducted outside the USA, including countries in Sub-Saharan Africa (n = 4), China (n = 3), Latin America (n = 2), and India (n = 1). All efficacy trials showed some evidence of efficacy, although uptake of HIV testing was low among in intervention trials that consisted of a low number of text messages. Most pilot RCTs demonstrated high levels of feasibility and acceptability, as well as some evidence that the intervention participants benefited more than the control group. Many non-randomized trials similarly reported positive appraisal by study participants. Recommendations for future research and practice by the authors of the studies reviewed here are summarized. Technology-assisted HIV testing interventions may be an important strategy to reach national and global targets for HIV status awareness in the general population and for most at-risk groups. Although there appears to be growing evidence of their benefit, questions linger regarding how to leverage existing social media platforms to promote HIV testing, which interventions work for what populations, and best practices for scaling up mHealth and other technology-based interventions.


Computers, Handheld/statistics & numerical data , HIV Infections/diagnosis , Mass Screening/methods , Smartphone/statistics & numerical data , Telemedicine/methods , China , Humans , Text Messaging
11.
Medicine (Baltimore) ; 99(12): e19549, 2020 Mar.
Article En | MEDLINE | ID: mdl-32195962

BACKGROUND: Evidences suggest that cognitive training facilitates cognitive function, and most studies have targeted adults and children older than 4 years of age. This study investigated the applicability and efficacy of a tablet computer-based cognitive training program for young children with cognitive impairment of cognitive age between 18 and 36 months. METHODS: Thirty-eight children were randomly assigned to the intervention (n = 20, administered a tablet computer-based cognitive training program, for 30 minutes per session and twice a week over a period of 12 weeks) and control (n = 18, received the traditional rehabilitation program) groups. Mental scale of Bayley Scales of Infant Development II (BSID II), Pediatric Evaluation of Disability Inventory (PEDI), interest/persistence domain of the Laboratory Temperament Assessment Battery (LAP-TAB), Early Childhood Behavior Questionnaire (ECBQ), and Goal Attainment Scale (GAS) were evaluated before and after 12 weeks of therapeutic intervention. RESULTS: The tablet computer-based cognitive training program was applicable to all children in the intervention group without any problems including irritable behavior or obsession about a tablet computer. After 12 weeks, Mental scale of BSID II, PEDI (social function), LAB-TAB (observation), LAB-TAB (manipulation), and GAS showed statistically significant improvements in the intervention group, compared with the values in the control group (P < .05). After adjusting for the pre-treatment measurements and cognitive age, the tablet computer-based cognitive training program had significant effect on the post-treatment measurements of Mental scale of BSID II, PEDI (social function), LAB-TAB (observation), LAB-TAB (manipulation), and GAS (P < .05). There was no association between the change in the scores and the severity of cognitive delay in the most of the measurements, however, the self-care domain of PEDI showed a negative association with the severity of the cognitive delay (r = -0.462, P = .04). CONCLUSIONS: Application of a tablet computer-based cognitive training program was feasible and showed improvements in cognitive function in young children with cognitive impairment of cognitive age between 18 and 36 months, regardless of the severity of the cognitive delay. But severe cognitive delay can be related with less improvement in the self-care domain of PEDI. TRIAL REGISTRATION NUMBER: https://cris.nih.go.kr (KCT0002889).


Cognitive Behavioral Therapy/instrumentation , Cognitive Dysfunction/therapy , Computers, Handheld/statistics & numerical data , Early Intervention, Educational/methods , Child , Child, Preschool , Cognition/physiology , Cognitive Behavioral Therapy/methods , Cognitive Dysfunction/diagnosis , Disability Evaluation , Female , Humans , Infant , Male , Outcome Assessment, Health Care , Severity of Illness Index
12.
Appl Ergon ; 85: 103028, 2020 May.
Article En | MEDLINE | ID: mdl-32174368

This study aimed to examine prospective associations of mobile touch screen device (i.e. smartphone, tablet) use and patterns of use with musculoskeletal symptoms and visual health among adolescents. A representative sample of 1691 adolescents in Singapore (51% girls; 10-19 years) completed an online questionnaire at baseline and one-year follow-up. After adjusting for potential confounders, prospective associations were found between baseline smartphone use and follow-up neck/shoulder (OR = 1.61(95%CI = 1.06-2.44)) and low back (OR = 1.86(1.10-3.14)) symptoms; tablet use was also associated with neck/shoulder, low back and arms symptoms (OR = 1.33(1.04-1.71)to1.52(1.18-1.95)). No associations were observed between the duration of smartphone/tablet use and symptoms. Baseline patterns of use (bout length, certain types of activities, multitasking) were associated with follow-up musculoskeletal symptoms. Smartphone/tablet use was not related to visual outcomes (visual symptoms, wearing glasses/contact lenses, myopia) at follow-up. These findings suggest that patterns of smartphone/tablet use (though not the duration of use) can pose a prospective risk for musculoskeletal symptoms.


Computers, Handheld/statistics & numerical data , Musculoskeletal Pain/epidemiology , Vision Disorders/epidemiology , Adolescent , Adolescent Behavior/physiology , Child , Female , Follow-Up Studies , Humans , Longitudinal Studies , Low Back Pain/epidemiology , Low Back Pain/etiology , Male , Multitasking Behavior/physiology , Musculoskeletal Pain/etiology , Neck Pain/epidemiology , Neck Pain/etiology , Prospective Studies , Shoulder Pain/epidemiology , Shoulder Pain/etiology , Singapore/epidemiology , Time Factors , Vision Disorders/etiology , Young Adult
14.
Singapore Med J ; 61(2): 96-101, 2020 Feb.
Article En | MEDLINE | ID: mdl-31363783

INTRODUCTION: The increasing popularity of personal mobility devices (PMDs) and electric bicycles (e-bikes) in Singapore has met with growing public concern over safety. Following the passing of the Active Mobility Bill, there remains a gap in the local literature in terms of injury patterns arising from the use of these devices. METHODS: A retrospective study was conducted on the Singapore National Trauma Registry (SNTR) from the emergency department of an acute hospital from 1 January 2016 to 31 December 2016. All patients with injuries related to the use of PMDs and e-bikes were included. Data captured included demographic information, device used and injury severity score (ISS). RESULTS: The 259 patients identified had a mean age of 32.1 years and a male predominance. Most (83.4%) were injured from falling off their devices. Devices commonly associated with injury were scooters, skateboards and motorised bicycles. Most injuries were mild (94.6%, ISS < 9) and were mainly external wounds (89.2%) and upper and lower limb injuries (35.5%). There was no difference in ISS in terms of the device used (motorised vs. non-motorised). More severe injuries (ISS ≥ 9) were caused by e-bikes (42.9%) and electric scooters (28.6%). Factors associated with these injuries were older age, use of e-bikes, and injuries to the head, face and thorax. Most patients (86.1%) were discharged and one died. CONCLUSION: While most injuries associated with PMDs and e-bikes are minor, serious injuries could result from their use. The SNTR should be updated to include PMDs and e-bikes as a category.


Bicycling/statistics & numerical data , Computers, Handheld/statistics & numerical data , Motorcycles , Wounds and Injuries/epidemiology , Wounds and Injuries/etiology , Accidents, Traffic/statistics & numerical data , Adolescent , Adult , Electricity , Emergency Service, Hospital , Female , Hospitals , Hospitals, General , Humans , Injury Severity Score , Male , Middle Aged , Registries , Retrospective Studies , Risk Factors , Singapore/epidemiology , Young Adult
15.
Rev Paul Pediatr ; 38: e2018165, 2020.
Article En, Pt | MEDLINE | ID: mdl-31778410

OBJECTIVE: To describe the prevalence of interactive media (tablets and smartphones) use by children aged two to four years old, as well as to characterize this use, and investigate habits, practices, parents' participation and opinion about their child's interactive media use. METHODS: A cross-sectional study with 244 parents or legal guardians of children enrolled in daycare centers in a small Brazilian municipality was conducted. A questionnaire based on interactive media use and related habits were applied, and economic level was assessed. Children were divided into three different groups according to media use: Group 1 did not use (n=81); Group 2 uses up to 45 min/day (n=83) and Group 3 uses more than 45 min/day (n=80). Then, they were compared with regard to the sociodemographic variables and media use by the Chi-square test and Student's t-test. RESULTS: The prevalence of interactive media use was 67.2%, with a mean time of use of 69.2 minutes/day (confidence interval of 95% - 95%CI 57.1-81.2). The activities most performed were watching videos (55%), listening to music (33%) and playing games (28%). Most parents reported allowing media use in order to stimulate their child's development (58.4%), accompanying them during use (75.2%), and limiting media time (86.4%). CONCLUSIONS: We observed high interactive media use prevalence. The predominant way of using these devices was marked by parent-child participation. Most parents reported believing in the benefits of interactive media. Passive activities were more frequent, with restricted time of use.


Child Day Care Centers/organization & administration , Mass Media/statistics & numerical data , Mobile Applications/statistics & numerical data , Parents/psychology , Brazil/epidemiology , Child Day Care Centers/statistics & numerical data , Child, Preschool , Computers, Handheld/statistics & numerical data , Cross-Sectional Studies , Epidemiologic Studies , Female , Habits , Humans , Male , Mobile Applications/trends , Prevalence , Smartphone/statistics & numerical data , Surveys and Questionnaires
16.
Rev. Paul. Pediatr. (Ed. Port., Online) ; 38: e2018165, 2020. tab, graf
Article En | LILACS | ID: biblio-1057215

ABSTRACT Objective: To describe the prevalence of interactive media (tablets and smartphones) use by children aged two to four years old, as well as to characterize this use, and investigate habits, practices, parents' participation and opinion about their child's interactive media use. Methods: A cross-sectional study with 244 parents or legal guardians of children enrolled in daycare centers in a small Brazilian municipality was conducted. A questionnaire based on interactive media use and related habits were applied, and economic level was assessed. Children were divided into three different groups according to media use: Group 1 did not use (n=81); Group 2 uses up to 45 min/day (n=83) and Group 3 uses more than 45 min/day (n=80). Then, they were compared with regard to the sociodemographic variables and media use by the Chi-square test and Student's t-test. Results: The prevalence of interactive media use was 67.2%, with a mean time of use of 69.2 minutes/day (confidence interval of 95% - 95%CI 57.1-81.2). The activities most performed were watching videos (55%), listening to music (33%) and playing games (28%). Most parents reported allowing media use in order to stimulate their child's development (58.4%), accompanying them during use (75.2%), and limiting media time (86.4%). Conclusions: We observed high interactive media use prevalence. The predominant way of using these devices was marked by parent-child participation. Most parents reported believing in the benefits of interactive media. Passive activities were more frequent, with restricted time of use.


RESUMO Objetivo: Descrever a prevalência do uso de mídias interativas (tablets e smartphones) pelas crianças de dois a quatro anos de idade, assim como caracterizar esse uso, investigar hábitos, práticas, participação e opinião dos pais acerca da sua utilização. Métodos: Estudo transversal com 244 pais ou responsáveis de crianças matriculadas em creches de um município brasileiro de pequeno porte. Foi aplicado um questionário sobre hábitos de utilização de mídias interativas e investigação do nível econômico. As crianças foram divididas em 3 grupos de acordo com o uso das mídias: grupo 1 - não utiliza; grupo 2 - utiliza até 45 minutos por dia; e grupo 3 - utiliza mais do que 45 minutos por dia. Os grupos foram comparados quanto às variáveis sociodemográficas e de caracterização do uso das mídias por meio dos testes do qui-quadrado e t de Student. Resultados: A prevalência do uso de mídias interativas foi de 67,2%, com tempo médio de utilização de 69,2 minutos por dia (intervalo de confiança de 95% - IC95% 57,1-81,2). As atividades mais realizadas foram: ver vídeos (55%), escutar músicas (33%) e jogar games (28%). A maioria dos pais relatou permitir a utilização da mídia para estimular o desenvolvimento do seu filho (58,4%), acompanhá-lo durante o uso (75,2%) e limitar o tempo com a mídia (86,4%). Conclusões: Observou-se elevada prevalência do uso de mídias interativas. A forma predominante de utilização das mídias envolve conjuntamente crianças e pais, os quais acreditam nos seus efeitos benéficos. Atividades passivas são as mais realizadas, com restrição do tempo de uso.


Humans , Male , Female , Child, Preschool , Parents/psychology , Child Day Care Centers/organization & administration , Mobile Applications/statistics & numerical data , Mass Media/statistics & numerical data , Brazil/epidemiology , Epidemiologic Studies , Child Day Care Centers/statistics & numerical data , Prevalence , Cross-Sectional Studies , Surveys and Questionnaires , Computers, Handheld/statistics & numerical data , Mobile Applications/trends , Smartphone/statistics & numerical data , Habits
17.
Psicol. reflex. crit ; 33: 24, 2020. tab, graf
Article En | LILACS, INDEXPSI | ID: biblio-1143585

Abstract Aim: Several health organizations have been expressing concern about the amount of time children spend using electronic devices and about the benefits and damages of the use of touchscreen devices, such as smartphones or tablets, for the development and behavior of children under the age of 5. A systematic review was carried out in order to understand the impact of touchscreen device usage toward children's development and behavior under the age of 5. Methods: Using the PRISMA method, from a total of 6314 studies found in online databases, searched in English, between 01/01/2000 and 01/10/2018, 11 studies were selected for analysis. Results: The results revealed that, in children under the age of 5, the damages of the use of touchscreen devices are superior to the benefits that may result, especially when there are more hours of screen time. More importance is given to the quality of the child-adult relationship and not to the use of touchscreen devices. Nevertheless, some studies emphasize some aspects that may reduce the negative effects, such as moderate use, less screen time, parental monitoring, and viewing educational programs in an academic environment. Conclusions: Guidelines that should be given to parents about the use of touchscreen devices by children are discussed. The limitation of this study was the difficulty in finding studies directed to the desired age and type of electronic device. This may be taken as a potential cause of bias.


Child Behavior/psychology , Risk Factors , Computers, Handheld/statistics & numerical data , Smartphone/statistics & numerical data , Screen Time , Child Development , Child, Preschool , Child Health
18.
Malar J ; 18(1): 444, 2019 Dec 26.
Article En | MEDLINE | ID: mdl-31878929

BACKGROUND: Under-reporting, delayed diagnosis, incomplete treatment and inadequate vector management are few among many factors responsible for uninterrupted transmission of malaria in India. Information technology (IT) and mobile apps can be utilized effectively to overcome these hurdles. Indigenously developed digital handheld geographic information system (GIS)-tagged Android-based tablets (TABs) has been designed especially for implementation of digitization protocol. This has changed the effectiveness of malaria surveillance and intervention strategies in a malaria endemic area of Mangaluru city, Karnataka, India. METHODS: A software was developed and implemented for control measures to create a digital database of each malaria case. Secondary data analyses were carried out to determine and compare differences in malariometric indices between pre- and post-digitization years. With the introduction of this software active surveillance, information education and communication (IEC), and anti-vector measures were made 'incidence-centric'. This means that the entire control measures were carried out in the houses where the malaria cases (index cases) were reported and also in surrounding houses. RESULTS: Annual blood examination rate (ABER) increased from 13.82 to 32.8%. Prompt reporting of new cases had improved (36% within 24 h and 80% within 72 h). Complete treatment and parasite clearance time were documented in 98% of cases. In the second post-digitization year untraceable cases reduced from 11.3 to 2.7%; contact blood smears collection also increased significantly (p < 0.001); Slide Positivity Rate (SPR) decreased from 15.5 to 10.48%; malaria cases reduced by 30%. CONCLUSIONS: IT is very useful in translation of digitized surveillance to core interventions thereby effectively reduce incidence of malaria. This technology can be used effectively to translate smart surveillance to core interventions following the '1-3-7-14' strategy.


Computers, Handheld/statistics & numerical data , Disease Eradication/instrumentation , Geographic Information Systems , Malaria/prevention & control , Population Surveillance/methods , Humans , India
19.
Fam Syst Health ; 37(4): 282-290, 2019 12.
Article En | MEDLINE | ID: mdl-31621349

INTRODUCTION: The use of mobile delivery to deliver parent training can address barriers to access and improve the translation of interventions in existing settings like pediatric primary care. Studying implementation provides critical information to identify and address barriers and facilitators and inform sustainability efforts. METHOD: This study was a descriptive evaluation using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework as part of a Hybrid Type I Effectiveness-Implementation trial of the ezParent Program within 4 pediatric primary care clinics. We collected data before, during, and after implementation to evaluate provider implementation and their perspectives on program benefits and barriers to implementation. RESULTS: On average, 14% of eligible parents were introduced to the study. Of these parents, 78% expressed interest in participating and 37% enrolled in the study. Seventy-eight percent of staff providers (n = 36) implemented the procedures at least once, and among those who implemented 3 or more times (n = 24), 79% maintained implementation for 6 months. Barriers to implementation include limited time, lack of information, and full practice buy-in and engagement. DISCUSSION: Implementation fidelity may improve with additional education and training of the interdisciplinary team, clear messaging regarding the purpose and content of the ezParent program, defining roles within the care team, identifying practice champions, and use of the electronic health record. Findings from this evaluation, including data from the randomized controlled trial and literature to support intervention effectiveness and implementation, will be used to develop an implementation toolkit to include specific strategies for implementation and ideas for local adaptations. (PsycINFO Database Record (c) 2019 APA, all rights reserved).


Parents/education , Primary Health Care/standards , Quality of Health Care/standards , Computers, Handheld/statistics & numerical data , Humans , Patient Satisfaction , Pediatrics/methods , Pediatrics/standards , Pediatrics/statistics & numerical data , Primary Health Care/methods , Primary Health Care/statistics & numerical data , Quality of Health Care/statistics & numerical data
20.
BMC Med Educ ; 19(1): 376, 2019 Oct 17.
Article En | MEDLINE | ID: mdl-31623637

BACKGROUND: The use of mobile devices such as tablets and laptops by students to support their learning is now ubiquitous. The clinical setting is an environment, which lends itself to the use of mobile devices as students are exposed to novel clinical scenarios that may require rapid location of information to address knowledge gaps. It is unknown what preferences students have for these devices and how they are used in the clinical environment. METHODS: In this study we explored medical students' choices and their use of different devices in their first year of clinical attachments. We sought to evaluate learners' experiences with these devices using a mixed methods approach. All students newly entered into the clinical years were given the option of a MacBook Air or iPad. We surveyed these students using an online survey tool followed by individual semi-structured interviews to explore survey findings in more depth. RESULTS: Students owned a multitude of devices however their preferences were for the 11 in. MacBook Air Laptop over the iPad mini. Students made constant use of online information to support their clinical learning, however three major themes emerged from the interview data: connection and devices (diverse personal ownership of technology by students and how this is applied to source educational materials), influence and interaction with patients (use of any device in a clinical setting) and influence and interaction with staff. In general students preferred to use their device in the absence of patients however context had a significant influence. CONCLUSIONS: These mobile devices were useful in the clinical setting by allowing access to online educational material. However, the presence of patients, and the behaviour of senior teaching staff significantly influenced their utilisation by students. Understanding the preferences of students for devices and how they use their preferred devices can help inform educational policy and maximise the learning from online educational content.


Attitude to Computers , Clinical Competence/standards , Computer-Assisted Instruction/statistics & numerical data , Computers, Handheld/statistics & numerical data , Education, Medical, Undergraduate/trends , Physician-Patient Relations , Students, Medical , Cell Phone , Cohort Studies , Education, Medical, Undergraduate/standards , Female , Humans , Information Seeking Behavior , Male , Students, Medical/psychology , Young Adult
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