A Deep Learning Framework for Evaluating the Over-the-Air Performance of the Antenna in Mobile Terminals.

This study introduces RTEEMF (Real-Time Evaluation Electromagnetic Field)-PhoneAnts, a novel Deep Learning (DL) framework for the efficient evaluation of mobile phone antenna performance, addressing the time-consuming nature of traditional full-wave numerical simulations. The DL model, built on convolutional neural networks, uses the Near-field Electromagnetic Field (NEMF) distribution of a mobile phone antenna in free space to predict the Effective Isotropic Radiated Power (EIRP), Total Radiated Power (TRP), and Specific Absorption Rate (SAR) across various configurations. By converting antenna features and internal mobile phone components into near-field EMF distributions within a Huygens' box, the model simplifies its input. A dataset of 7000 mobile phone models was used for training and evaluation. The model's accuracy is validated using the Wilcoxon Signed Rank Test (WSR) for SAR and TRP, and the Feature Selection Validation Method (FSV) for EIRP. The proposed model achieves remarkable computational efficiency, approximately 2000-fold faster than full-wave simulations, and demonstrates generalization capabilities for different antenna types, various frequencies, and antenna positions. This makes it a valuable tool for practical research and development (R&D), offering a promising alternative to traditional electromagnetic field simulations. The study is publicly available on GitHub for further development and customization. Engineers can customize the model using their own datasets.

Road Injuries Associated With Cellular Phone Use While Walking or Riding a Bicycle or an Electric Bicycle: A Case-Crossover Study.

Vulnerable road users (pedestrians, bicyclists, and motorcyclists) account for an increasing proportion of traffic injuries. We used a case-crossover study design to examine the association between cell-phone usage and traffic injuries among pedestrians, bicyclists, and electric bicycle riders during the course of their travel. We studied 643 pedestrians, bike riders, and electric bike riders aged 10-35 years who were involved in a road injury, visited the emergency department in one of the 3 hospitals in Shanghai, China, in 2019, and owned a cell phone. Half of the participants (n = 323; 50.2%) had used a cell phone within 1 minute before the injury happened. A pedestrian's or rider's use of a mobile phone up to 1 minute before a road injury was associated with a 3-fold increase in the likelihood of injury (odds ratio = 3.00, 95% confidence interval: 2.04, 4.42; P < 0.001). The finding was consistent across subgroups by sex, occupation, reason for travel, mode of transportation, and location of injury. Use of a cell phone when walking or riding was associated with an increased risk of road injury. Measures should be taken to make people aware of this detrimental impact on the risk of road injury.

Association Between Mobile Phone Radiation Exposure and the Secretion of Melatonin and Cortisol, Two Markers of the Circadian System: A Review.

The extremely important use of mobile phones in the world, at all ages of life, including children and adolescents, leads to significant exposure of these populations to electromagnetic waves of radiofrequency. The question, therefore, arises as to whether exposure to these radiofrequencies (RFs) could lead to deleterious effects on the body's biological systems and health. In the current article, we review the effects, in laboratory animals and humans, of exposure to RF on two hormones considered as endocrine markers: melatonin, a neurohormone produced by the pineal gland and cortisol, a glucocorticosteroid synthesized by the adrenal glands. These two hormones are also considered as markers of the circadian system. The literature search was performed using PubMed, Medline, Web of Sciences (ISI Web of Knowledge), Google Scholar, and EMF Portal. From this review on RF effects on cortisol and melatonin, it appears that scientific papers in the literature are conflicting, showing effects, no effects, or inconclusive data. This implies the need for additional research on higher numbers of subjects and with protocols perfectly controlled with follow-up studies to better determine whether the chronic effect of RF on the biological functioning and health of users exists (or not). Bioelectromagnetics. 2021;42:5-17. © 2020 Bioelectromagnetics Society.

Analysis of Paper-Based Colorimetric Assays With a Smartphone Spectrometer.

We report on the adaptation of a smartphone's rear-facing camera to function as a spectrometer that measures the spectrum of light scattered by common paper-based assay test strips. We utilize a cartridge that enables a linear series of test pads in a single strip to be swiped past the read head of the instrument while the phone's camera records video. The strip is housed in a custom-fabricated cartridge that slides through the instrument to facilitate illumination with white light from the smartphone's flash LED that is directed through an optical fiber. We demonstrate the ability to detect subtle changes in the scattered spectrum that enables quantitative analysis of single-analyte and multi-analyte strips. The demonstrated capability can be applied to broad classes of paper-based assays in which visual observation of colored strips is not sufficiently quantitative, and for which analysis of red-green-blue pixel values of a camera image are not capable of measuring complex scattered spectra.

Deep-Learning-Based Real-Time Road Traffic Prediction Using Long-Term Evolution Access Data.

In this paper, we propose a method for deep-learning-based real-time road traffic predictions using long-term evolution (LTE) access data. The proposed system generates a road traffic speed learning model based on road speed data and historical LTE data collected from a plurality of base stations located within a predetermined radius from the road. Real-time LTE data were the input for the generated learning model in order to predict the real-time speed of traffic. Since the system was developed using a time-series-based road traffic speed learning model based on LTE data from the past, it is possible for it to be used for a road where the environment has changed. Moreover, even on roads where the collection of traffic data is invalid, such as a radio shadow area, it is possible to directly enter real-time wireless communications data into the traffic speed learning model to predict the traffic speed on the road in real time, and in turn, raise the accuracy of real-time road traffic predictions.

Actionable Adherence Monitoring: Technological Methods to Monitor and Support Adherence to Antiretroviral Therapy.

PURPOSE OF REVIEW: Current digital technologies are being used for "actionable adherence monitoring"; that is, technologies that can be used to identify episodes of non-adherence to ART in a timely manner such that tailored interventions based on adherence data can be provided when and where they are needed most. RECENT FINDINGS: Current digital communication technologies used to monitor ART adherence include electronic adherence monitors (EAMs), digital ingestion monitors, cellular phones, and electronic pharmacy refill tracking systems. Currently available real-time adherence monitoring approaches based on cellular technology allow for the delivery of interventions precisely when and where they are needed. Such technology can potentially enable significant efficiency of care delivery and impact on adherence and associated clinical outcomes. Standard digital advances, such as automated reminders in EAM and electronic pharmacy records, may also achieve improvements with relatively lower cost and easier implementation. Future research is needed to improve the functionality of these approaches, with attention paid to system-level issues through implementation science, as well as acceptability and ethical considerations at the individual level.

Acceptability and use of a virtual support group for HIV-positive youth in Khayelitsha, Cape Town using the MXit social networking platform.

INTRODUCTION: Médecins Sans Frontières supports human immunodeficiency virus (HIV)-infected youth, aged 12-25 years, at a clinic in Khayelitsha, South Africa. Patients are enrolled in youth clubs, and provided with a virtual chat room, using the cell-phone-based social networking platform, MXit, to support members between monthly/bimonthly club meetings. The acceptability and uptake of MXit was assessed. METHODS: MXit was facilitated by lay counsellors, was password protected, and participants could enter and leave at will. Club members were asked to complete self-administered questionnaires and participate in two focus-group discussions. RESULTS AND DISCUSSION: In total, 60 club members completed the questionnaire, and 12 participated in the focus groups. Fifty-eight percentage were aged 23-25 years, 63% were female and 83% had a cell phone. Sixty percentage had used MXit before, with 38% having used it in the past month. Sixty-five percentage were aware of the chat-room and 39% knew how to access it. Thirty-four percentage used the chat-room at least once, 20% had visited the chat-room in the past month, and 29% had used MXit to have private conversations with other club members. Fifty-seven percentage used the chat-room to get advice, and 84% of all respondents felt that offering a service outside the youth club meetings was important and would like to see one to continue. The cost of using social media platforms was an issue with some, as well as the need for anonymity. Preference for other platforms, logistical obstacles, or loss of interest contributed to non-use. CONCLUSIONS: Reported usage of the MXit chat-room was low, but participants indicated acceptance of the programme and their desire to interact with their peers through social media. Suggestions to improve the platform included accessible chat histories, using more popular platforms such as Facebook or WhatsApp, and to have topical discussions where pertinent information for youth is provided.

No effects of short-term exposure to mobile phone electromagnetic fields on human cognitive performance: a meta-analysis.

During recent years, a large number of studies on the effects of electromagnetic fields emitted by cellular mobile phones on human cognitive performance have been carried out. However, the results have been ambiguous. We carried out the current meta-analysis in order to investigate the impact of electromagnetic fields emitted by mobile phones on human cognition. Seventeen studies were included in the meta-analysis as they fulfill several requirements such as single- or double-blind experimental study design, and documentation of means and standard deviations of dependent variables. The meta-analysis was carried out as a group comparison between exposed and non-exposed subjects. No significant effects of electromagnetic fields emitted by Global System for Mobile Communications (GSM) and Universal Mobile Telecommunications System (UMTS) mobile phones were found. Cognitive abilities seem to be neither impaired nor facilitated. Results of the meta-analysis suggest that a substantial short-term impact of high frequency electromagnetic fields emitted by mobile phones on cognitive performance can essentially be ruled out.

A Multi-Frequency 3D Printed Hand Phantom for Electromagnetic Measurements.

It has been shown that the presence of a hand holding a wireless handset (cell phone) can influence antenna efficiency and the measurement of specific absorption rate (SAR) and electromagnetic compatibility. Head phantoms, used in handset compliance testing to estimate SAR in the head, have achieved low cost and multi-frequency use. Head phantoms typically consist of a thin plastic shell, open on the top, holding a tissue simulating fluid. The specific simulant fluid used is determined by the radio frequency of the test. IEC 62209-1 has recipes, using safe nontoxic materials, for all the required frequency bands. Thus, head phantoms can be reused at different frequencies simply by changing the tissue simulating fluid. However, standards have not adopted the use of hand phantoms because SAR limits in limbs are less restrictive than the head, the tissue depth in a hand is insufficient to make accurate measurements with current electric field probes, and the cost of a solid hand phantom is limited to a single frequency band. Our goal was to determine whether 3D printing techniques would allow the construction of a hand phantom with the same utility as existing head phantoms. We developed this phantom based on computer simulations to determine how much human anatomy needed to be included in the phantom to obtain results consistent with actual use. Electric field scans of a handset alone, and held by the hand phantom, were performed. Comparison of handset scans using the phantom and human subjects was planned, but not performed due to Covid-19 restrictions and subsequent changes in priorities. We feel a fluid-filled 3D printed hand phantom is viable and practical. The 3D print files are available on GitHub.

Estimation of obsolete cellular phones generation: A case study of China.

Rapid development of electronic technique has led to decreasing lifespan of electronic products. Meanwhile, the amount of waste electrical and electronic equipment (WEEE) is rapidly growing in recent years especially in China. The generation amount of WEEE is one of the basic information for waste management. In our study, the generation of obsolete cellular phones and metals containing of cellular phones were estimated from 1997 to 2025. The future average possession in per 100 inhabitants of cellular phones was predicted using logistic model. Moreover, the lifespan distribution of cellular phones was analyzed using Weibull distribution. Meanwhile, the generation amount of obsolete cellular phones and its metals containing were estimated by using population balance model (PBM) and substance flow analysis (SFA), respectively. The estimated results indicate that the average possession in per 100 inhabitants will reach to 111.2 and 118.3 units in 2020 and 2025, respectively, which is about two times higher than the average possession in 2010. In addition, the total possession amount of cellular phones are expected to exceed 1.64 billion units in 2025. Moreover, the estimated results show that 781 million units obsolete cellular phones were generated in 2015, and the number will grow up to 877 and 937 million units in 2020 and 2025, respectively. In 2025, the total weight of annual generation amount of obsolete cellular phones will exceed 140Gg. The precious metals such as silver, gold contains in obsolete cellular phones will reach 56,250 and 28,130kg, respectively, in 2025. The obsolete cellular phones are the typical secondary metal resources especially for precious metals. In order to improve the recycling efficiency, it is necessary to establish a comprehensive system of waste management.

The Effectiveness of Mobile Phone Text Messaging in Improving Medication Adherence for Patients with Chronic Diseases: A Systematic Review.

CONTEXT: Medication non-adherence is a commonly observed problem in the self-administration of treatment, regardless of the disease type. Text messaging reminders, as electronic reminders, provide an opportunity to improve medication adherence. In this study, we aimed to provide evidence addressing the question of whether text message reminders were effective in improving patients' adherence to medication. EVIDENCE ACQUISITION: We carried out a systematic literature search, using the five electronic bibliographic databases: PubMed, Embase, PsycINFO, CINAHL, and the Cochrane central register of controlled trials. Studies were included on the basis of whether they examined the benefits and effects of short-message service (SMS) interventions on medication adherence. RESULTS: The results of this systematic review indicated that text messaging interventions have improved patients' medication adherence rate (85%, 29.34). Included in the review, those who had problems with adherence, or those whom text messaging was most helpful had HIV, asthma, diabetes, schizophrenia and heart disease (73.5%). The period of intervention varied from 1 week to 14 months. The most common study design was randomized controlled trials (RCTs) (66%) carried out in the developed countries. CONCLUSIONS: This study demonstrated the potential of mobile phone text messaging for medication non-adherence problem solving.

Technology-Based Interventions for Asthma-Can They Help Decrease Health Disparities?

Asthma is a condition that has consistently demonstrated significant health outcome inequalities for minority populations. One approach used for care of patients with asthma is the incorporation of technology for behavioral modification, symptom monitoring, education, and/or treatment decision making. Whether such technological interventions can improve the care of black and inner-city patients is unknown. We reviewed all randomized controlled trial technological interventions from 2000 to 2015 performed in minority populations. A total of 16 articles met inclusion and exclusion criteria; all but 1 was performed in a childhood or adolescent age group. The interventions used MPEG audio layer-3 players, text messaging, computer/Web-based systems, video games, and interactive voice response. Many used tailored content and/or a specific behavior theory. Although the interventions were based on technology, most required additional special staffing. Subject user satisfaction was positive, and improvements were noted in asthma knowledge, medication adherence, asthma symptoms, and quality of life. Unfortunately, health care utilization (emergency department visits and/or hospitalizations) was typically not improved by the interventions. Although no single intervention modality was vastly superior, the computer-based interventions appeared to have the most positive results. In summary, technology-based interventions have a high level of user satisfaction among minority and urban/low-income individuals with asthma, and can improve asthma outcomes. Further large-scale studies are needed to assess whether such interventions can decrease health disparities in asthma.

Are cellular phone blocking applications effective for novice teen drivers?

PROBLEM: Distracted driving is a significant concern for novice teen drivers. Although cellular phone bans are applied in many jurisdictions to restrict cellular phone use, teen drivers often report making calls and texts while driving. METHOD: The Minnesota Teen Driver Study incorporated cellular phone blocking functions via a software application for 182 novice teen drivers in two treatment conditions. The first condition included 92 teens who ran a driver support application on a smartphone that also blocked phone usage. The second condition included 90 teens who ran the same application with phone blocking but which also reported back to parents about monitored risky behaviors (e.g., speeding). A third control group consisting of 92 novice teen drivers had the application and phone-based software installed on the phones to record cellular phone (but not block it) use while driving. RESULTS: The two treatment groups made significantly fewer calls and texts per mile driven compared to the control group. The control group data also demonstrated a higher propensity to text while driving rather than making calls. DISCUSSION: Software that blocks cellular phone use (except 911) while driving can be effective at mitigating calling and texting for novice teen drivers. However, subjective data indicates that some teens were motivated to find ways around the software, as well as to use another teen's phone while driving when they were unable to use theirs. PRACTICAL APPLICATIONS: Cellular phone bans for calling and texting are the first step to changing behaviors associated with texting and driving, particularly among novice teen drivers. Blocking software has the additional potential to reduce impulsive calling and texting while driving among novice teen drivers who might logically know the risks, but for whom it is difficult to ignore calling or texting while driving.

RF Interference in Hearing Aids from Cellphones Part 1: Near-field cellphone emissions measurements and the effects of hands.

Cellular telephones (cellphones) are currently categorized for hearing aid compatibility based on a calculated value (metric) obtained from the measurement of near-field, radio-frequency emissions according to a procedure described in ANSI Standard C63.19 "Measurement of Compatibility between Wireless Communications Devices and Hearing Aids". There has been a lack of documentation, however, that relates this metric to a cellphone's potential for interference in actual use, that is, when it is held at the ear in a normal-use position by a hearing aid wearer. In Part 1 of this two-part series, we compare the ANSI C63.19 metric to simpler metrics, still based on the near-field test procedure of the standard, and to near-field measurements made when the cellphones are hand-held. The results justify employing a simpler no-hand metric than the exclusion area procedure presently specified by the standard, but not the addition of a test hand to the procedure. The further effect of the head and interaction with the hearing aid is examined in Part 2 of the series.

RF Interference in Hearing Aids from Cellphones Part 2: Comparing in-use RF coupling to predictions.

Cellphones and hearing aids are presently tested for their near-field RF emissions and RF immunity, respectively, to predict their mutual compatibility when used together. In the concluding part of this two-part series, we examine the relationship between these independent device measurements and the resultant in-use coupled RF interference, which may be heard as audio frequency noises by the hearing aid wearer. The established standards are seen to be generally reasonable in meeting the compatibility goals (i.e., ensuring a low level of perceived audio interference), but the combined effects of the relative device positioning, the hand, and especially the head add a high degree of uncertainty to the relationship between the actual in-use RF interference coupling and predictions based on individual emissions and immunity measurements.

A usability study of a mobile health application for rural Ghanaian midwives.

INTRODUCTION: Midwives in rural Ghana work at the frontline of the health care system, where they have access to essential data about the patient population. However, current methods of data capture, primarily pen and paper, make the data neither accessible nor usable for monitoring patient care or program evaluation. Electronic health (eHealth) systems present a potential mechanism for enhancing the roles of midwives by providing tools for collecting, exchanging, and viewing patient data as well as offering midwives the possibility for receiving information and decision support. Introducing such technology in low-resource settings has been challenging because of low levels of user acceptance, software design that does not match the end-user environment, and/or unforeseen challenges such as irregular power availability. These challenges are often attributable to a lack of understanding by the software developers of the end users' needs and work environment. METHODS: A mobile health (mHealth) application known as mClinic was designed to support midwife access to the Millennium Village-Global Network, an eHealth delivery platform that captures data for managing patient care as well as program evaluation and monitoring, decision making, and management. We conducted a descriptive usability study composed of 3 phases to evaluate an mClinic prototype: 1) hybrid lab-live software evaluation of mClinic to identify usability issues; 2) completion of a usability questionnaire; and 3) interviews that included low-fidelity prototyping of new functionality proposed by midwives. RESULTS: The heuristic evaluation identified usability problems related to 4 of 8 usability categories. Analysis of usability questionnaire data indicated that the midwives perceived mClinic as useful but were more neutral about the ease of use. Analysis of midwives' reactions to low-fidelity prototypes during the interview process supported the applicability of mClinic to midwives' work and identified the need for additional functionality. DISCUSSION: User acceptance is essential for the success of any mHealth implementation. Usability testing identified mClinic development flaws and needed software enhancements.

Rapid, Affordable, and Point-of-Care Water Monitoring Via a Microfluidic DNA Sensor and a Mobile Interface for Global Health.

Contaminated water is a serious concern in many developing countries with severe health consequences particularly for children. Current methods for monitoring waterborne pathogens are often time consuming, expensive, and labor intensive, making them not suitable for these regions. Electrochemical detection in a microfluidic platform offers many advantages such as portability, minimal use of instrumentation, and easy integration with electronics. In many parts of the world, however, the required equipment for pathogen detection through electrochemical sensors is either not available or insufficiently portable, and operators may not be trained to use these sensors and interpret results, ultimately preventing its wide adoption. Counterintuitively, these same regions often have an extensive mobile phone infrastructure, suggesting the possibility of integrating electrochemical detection of bacterial pathogens with a mobile platform. Toward a solution to water quality interventions, we demonstrate a microfluidic electrochemical sensor combined with a mobile interface that detects the sequences from bacterial pathogens, suitable for rapid, affordable, and point-of-care water monitoring. We employ the transduction of DNA hybridization into a readily detectable electric signal by means of a conformational change of DNA stem-loop structure. Using this platform, we successfully demonstrate the detection of as low as 100 nM E. coli sequences and the automatic interpretation and mapping of the detection results via a mobile application.

Auditory Brainstem Responses and EMFs Generated by Mobile Phones.

There has been a manifold increase in the number of mobile phone users throughout the world with the current number of users exceeding 2 billion. However this advancement in technology like many others is accompanied by a progressive increase in the frequency and intensity of electromagnetic waves without consideration of the health consequences. The aim of our study was to advance our understanding of the potential adverse effects of GSM mobile phones on auditory brainstem responses (ABRs). 60 subjects were selected for the study and divided into three groups of 20 each based on their usage of mobile phones. Their ABRs were recorded and analysed for latency of waves I-V as well as interpeak latencies I-III, I-V and III-V (in ms). Results revealed no significant difference in the ABR parameters between group A (control group) and group B (subjects using mobile phones for maximum 30 min/day for 5 years). However the latency of waves was significantly prolonged in group C (subjects using mobile phones for 10 years for a maximum of 30 min/day) as compared to the control group. Based on our findings we concluded that long term exposure to mobile phones may affect conduction in the peripheral portion of the auditory pathway. However more research needs to be done to study the long term effects of mobile phones particularly of newer technologies like smart phones and 3G.

Development and validation of a web-based survey on the use of personal communication devices by hospital registered nurses: pilot study.

BACKGROUND: The use of personal communication devices (such as basic cell phones, enhanced cell phones or smartphones, and tablet computers) in hospital units has risen dramatically in recent years. The use of these devices for personal and professional activities can be beneficial, but also has the potential to negatively affect patient care, as clinicians may become distracted by these devices. OBJECTIVE: No validated questionnaire examining the impact of the use of these devices on patient care exists; thus, we aim to develop and validate an online questionnaire for surveying the views of registered nurses with experience of working in hospitals regarding the impact of the use of personal communication devices on hospital units. METHODS: A 50-item, four-domain questionnaire on the views of registered nursing staff regarding the impact of personal communication devices on hospital units was developed based on a literature review and interviews with such nurses. A repeated measures pilot study was conducted to examine the psychometrics of a survey questionnaire and the feasibility of conducting a larger study. Psychometric testing of the questionnaire included examining internal consistency reliability and test-retest reliability in a sample of 50 registered nurses. RESULTS: The response rate for the repeated measures was 30%. Cronbach coefficient alpha was used to examine the internal consistency and reliability, and in three of the four question groups (utilization, impact, and opinions), the correlation was observed to be very high. This suggests that the questions were measuring a single underlying theme. The Cronbach alpha value for the questions in the performance group, describing the use of personal communication devices while working, was lower than those for the other question groups. These values may be an indication that the assumptions underlying the Cronbach alpha calculation may have been violated for this group of questions. A Spearman rho correlation was used to determine the test-retest reliability. There was a strong test-retest reliability between the two tests for the majority of the questions. The average test-retest percent of agreement for the Likert scale responses was 74% (range 43-100%). Accounting for responses within the 1 SD range on the Likert scale increased the agreement to 96% (range 87-100%). Missing data were in the range of 0 to 7%. CONCLUSIONS: The psychometrics of the questionnaire showed good to fair levels of internal consistency and test-retest reliability. The pilot study demonstrated that our questionnaire may be useful in exploring registered nurses' perceptions of the impact of personal electronic devices on hospital units in a larger study.

Aplicaciones de salud para móviles: Uso en pacientes de Medicina Interna en el Hospital Regional de Duitama, Boyacá, Colombia / Use of mobile health applications with Internal Medicine patients at the Regional Hospital of Duitama, Boyacá, Colombia: Uso em pacientes de Medicina Interna no hospital regional de Duitama, Boyacá, Colombia / Aplicações de saúde para móveis

Se realizó un estudio descriptivo transversal con el objetivo de identificar el uso y la aceptación de aplicaciones móviles (apps) en salud, en adultos que asisten a consulta externa de Medicina Interna en un hospital regional, mediante entrevista telefónica en una muestra de 452 pacientes. De los 452 pacientes entrevistados, 87 casos (19 %) poseen teléfonos inteligentes, 82 utilizan algún tipo de app (18,1 %, IC-95: 4,5-21,6 %) y solo 11 pacientes han descargado apps de salud (2,4 %, IC-95: 1-3,8 %). Los tipos más utilizados fueron apps para control del ciclo menstrual en 6 casos (54 % de las apps de salud), para monitoreo de ejercicio físico en 4 casos (36 % de las apps de salud) y en un solo caso una app para control del embarazo (9 % de las apps de salud). Las barreras identificadas para el uso de las apps fueron: no saber utilizar el dispositivo móvil en 181 casos (40 %, IC-95: 35-44 %), falta de acceso a internet en 95 casos (21 %, IC-95: 17-24 %), no saber utilizar las apps en 84 casos (18 % IC-95: 14-22 %) y desconfianza en la seguridad de las apps en 46 casos (10 %, IC-95: 7.3-12 %). El uso de apps en salud es bajo en el grupo de pacientes que asisten a consulta externa de Medicina Interna. Adicionalmente el acceso a dispositivos móviles inteligentes es más bajo que la media nacional reportada. En relación con las barreras de acceso, predominan el desconocimiento del uso de las apps y la falta de acceso a las tecnologías (acceso a internet y posesión de dispositivos tipo Smartphone).

A descriptive cross-sectional study was conducted with the purpose of identifying the use and acceptance of mobile health applications (apps) with adult patients attending the outpatient internal medicine service at a regional hospital. Data were collected from telephone interviews with a sample of 452 patients. Of the 452 patients interviewed, 87 (19 %) had smartphones, 82 used some sort of app (18.1 %, CI-95: 4.5-21.6 %) and only 11 had downloaded health apps (2.4 %, CI-95: 1-3.8 %). The apps most commonly used were for control of the menstrual cycle (6 cases; 54 % of the health apps), to monitor physical exercise (4 cases; 36 % of the health apps) and in only one case an app for birth control (9 % of the health apps). The following barriers were identified in relation to the use of the apps: not knowing how to use the mobile device in 181 cases (40 %, CI-95: 35-44 %), lack of access to the Internet in 95 cases (21 %, CI-95: 17-24 %), not knowing how to use the apps in 84 cases (18 %, CI-95: 14-22 %) and mistrust of the safety of the apps in 46 cases (10 %, CI-95: 7.3-12 %). Use of apps is low among the patients attending the outpatient internal medicine service. Additionally, access to smart mobile devices is lower than the national mean reported. The main access barriers are lack of knowledge about the use of the apps and lack of access to the technologies (access to the Internet and possession of smartphones).

Estudo descriptivo transversal com o objetivo de identificar o uso e a aceitação de aplicações móveis (apps) em saúde, em adultos que assistem a consulta externa de Medicina Interna num hospital regional, mediante entrevista telefônica numa amostra de 452 pacientes. Dos 452 pacientes entrevistados, 87 casos (19 %) possuem telefones inteligentes, 82 utilizam algum tipo de app (18,1 %, IC-95: 4,5-21,6 %) e apenas 11 pacientes têm descarregado apps de saúde (2,4 %, IC-95: 1-3, 8 %). Os tipos mais utilizados foram apps para controle do ciclo menstrual em 6 casos (54 % das apps de saúde), para acompanhamento de exercício físico em 4 casos (36 % das apps de saúde) e num só caso uma app para controle de gravidez (9 % das apps de saúde). As barreiras identificadas para o uso das apps foram: não saber utilizar o dispositivo móvel em 181 casos (40 %, IC-95: 35-44 %), falta de acesso a internet em 95 casos (21 %, IC-95: 17-24 %), não saber utilizar as apps em 84 casos (18 % IC-95: 14-22 %) e desconfiança na segurança das apps em 46 casos (10 %, IC-95: 7.3-12 %). O uso de apps em saúde é baixo no grupo de pacientes que assistem à consulta externa de Medicina Interna. Adicionalmente o acesso aos dispositivos móveis inteligentes é mais baixo que a média nacional reportada. Em relação com as barreiras de acesso, predominam o desconhecimento do uso das apps e a falta de acesso às tecnologias (acesso a internet e possessão de dispositivos tipo Smartphone).