Enhancing the Chain of Survival: The Role of Smartphone Applications in Cardiopulmonary Resuscitation.

This review explores the role of smartphone applications in providing real-time guidance for cardiopulmonary resuscitation (CPR) practices and highlights their potential to improve CPR quality among laypersons. A narrative literature review was conducted on the effectiveness of mobile CPR applications for smartphones. Studies published between 2014 and 2024 were included to ensure that new technological advances were examined. Our findings revealed that guided CPR applications significantly improve most critical parameters for efficacious resuscitation. Application users demonstrated that they achieved performance comparable to or even better than CPR-certified individuals. However, these tools have limitations, mostly related to familiarity, which may result in a delay in activating the application and, therefore, in initiating CPR. While smartphone applications are promising tools for enhancing bystander CPR, their integration into emergency medical response requires careful consideration. To fully take advantage of these applications, they should be incorporated into public health campaigns and standard CPR training. This would be even more successful if the application's functionality were standardized across different regions. Our research indicates that a combination of education and technology will likely play a major role in CPR training in the future, improving the efficacy and accessibility of life-saving measures. Smartphone applications could greatly improve the chain of survival in out-of-hospital cardiac arrest (OHCA) events. The design and accessibility of these applications as well as the integration of these applications with current emergency response frameworks should be the main areas of future research.

An eco-friendly smartphone based HPTLC method versus conventional densitometric one for determination of Naltrexone and Bupropion.

The rapid uprising technologies of smartphone applications and software introduced a new era for analytical detection techniques. It has transformed bench-top laboratory methods into simpler ones depending on cost-effective, portable, and widely accessible devices. In this work, two high performance thin layer chromatographic (HPTLC) methods were developed based on smartphone's camera detection and either ImageJ desktop software or Color-Picker smartphone's application as alternative techniques to conventional densitometric detection. A mixture of Naltrexone hydrochloride (NAL) and Bupropion hydrochloride (BUP) was chromatographed on HPTLC- plates using ethyl acetate, methanol, acetone, and glacial acetic acid (3:6:1:0.5, by volume) as a developing system. The developed plates were scanned at 203 nm for the densitometric analysis, then visualized by modified Dragendorff's reagent and shot by a smartphone's camera. The captured images were uploaded to either ImageJ software or Color-Picker application to detect the separated spots. The results derived from the three detection methods were compared over the concentration range of 0.4-24 & 0.6-18 µg/band for the densitometric method, 0.4-24 & 2-24 µg/band for ImageJ built method and 0.8-20 & 5-20 µg/band for Color Picker built method for NAL and BUP, respectively. The methods were found to be appropriate for assaying both active drug substances in pure forms and combined in marketed pharmaceutical formulations. The excellent sustainability of densitometric and ImageJ-based methods enabled also the assessment of their dosage form content uniformity. The greenness and sustainability of the methods were assessed by three metric tools, namely Green Analytical Procedure Index (GAPI), Analytical GREEnness Metric Approach (AGREE), and White Analytical Chemistry (WAC). The assessments results confirmed the sustainability and superiority of the proposed methods in terms of sample treatment, waste mount, energy consumption, cost, and number of analyzed samples per an hour.

Effectiveness of mobile phone applications for tobacco cessation: An umbrella review.

BACKGROUND: Mobile Health (mHealth), leveraging nearly 4.5 billion people actively use mobile phone and internet, can be crucial in promoting tobacco cessation. This umbrella review aimed to assess the effectiveness of mobile phone applications in achieving this outcome. METHODS: Searches were conducted in databases like Medline, EMBASE, PubMed Central, ScienceDirect, Google Scholar, and Cochrane library from their inception till June 2022, without language restriction. Quality assessment was carried out using the AMSTAR-2 tool. The narrative synthesis findings were presented in terms of the overall effect size reported by the individual systematic review along with the heterogeneity measures and risk of bias assessment findings. RESULTS: We included 11 reviews, most of which had critical weaknesses in certain domains. Among these, three reviews conducted meta-analyses providing pooled estimates, but the effect sizes were non-significant and imprecise, indicating that mobile phone applications did not have a significant effect on tobacco cessation. Only three reviews concluded a promising role for mobile phone applications in tobacco cessation, particularly when these applications were based on theoretical constructs or combined with face-to-face interventions. CONCLUSION: Our review indicates that mobile phone applications could play a promising role in tobacco cessation. However, using a single mobile phone application without any theoretical construct may not sufficiently drive behavioural change to reduce tobacco usage.

Type 1 Diabetes in Singapore: Self-Care Challenges, Diabetes Technology Awareness, Current Use, and Satisfaction, an Online Survey.

Introduction: To describe the self-care challenges, diabetes technology awareness, current use, and satisfaction among adults with type 1 diabetes and parents of children with type 1 diabetes in Singapore. Methods: An anonymous online survey was administered between November 2020 and October 2021. Data are presented as mean (standard deviation) or count (percentages). Comparisons between groups were done using the independent samples T-test. Results: 251 people (176 adults, 75 parents) participated. The most challenging self-care burdens were carbohydrate counting (24.4%) among adults and insulin dose calculations (28%) among parents. Nocturnal awakenings for diabetes care of their child were a common event (25.3%). Despite high awareness about continuous glucose monitoring devices (77.8% adults, 78.7% parents) the use (24.9% adults, 55% children) remained low. Both adults and parents of children with type 1 diabetes found continuous glucose monitoring to be liberating and less restrictive. Despite overall low insulin pump use (23.9% adults, 29.3% children); satisfaction scores were higher among insulin pump users than insulin pen users (P = 0.02). Conclusion: Carbohydrate counting and insulin dose calculations were the most challenging self-care tasks among people with type 1 diabetes in Singapore. Diabetes technology use was relatively low in Singapore. Continuous glucose monitoring and Insulin pump users found them to be beneficial.

A feasibility study using motivational interviewing and a smartphone application to promote physical activity (+Stay-Active) for women with gestational diabetes.

BACKGROUND: Physical activity (PA) interventions have an encouraging role in gestational diabetes mellitus (GDM) management. Digital technologies can potentially be used at scale to support PA. The aim of this study was to assess the feasibility and acceptability of + Stay-Active: a complex intervention which combines motivational interviewing with a smartphone application to promote PA levels in women with GDM. METHODS: This non-randomised feasibility study used a mixed methods approach. Participants were recruited from the GDM antenatal clinic at Oxford University Hospitals. Following baseline assessments (visit 1) including self-reported and device determined PA measurements (wrist worn accelerometer), women participated in an online motivational interview, and then downloaded (visit 2) and used the Stay-Active app (Android or iOS). Women had access to Stay-Active until 36 weeks' gestation, when acceptability and PA levels were reassessed (visit 3). The primary outcome measures were recruitment and retention rates, participant engagement, and acceptability and fidelity of the intervention. Secondary outcome measures included PA levels, app usage, blood glucose and perinatal outcomes. Descriptive statistics were performed for assessments at study visits. Statistics software package Stata 14 and R were used. RESULTS: Over the recruitment period (46 weeks), 114 of 285 women met inclusion criteria and 67 (58%) enrolled in the study. Mean recruitment rate of 1.5 participants/clinic with 2.5 women/clinic meeting inclusion criteria. Fifty-six (83%) received the intervention at visit 2 and 53 (79%) completed the study. Compliance to accelerometer measurement protocols were sufficient in 78% of participants (52/67); wearing the device for more than 10 h on 5 or more days at baseline and 61% (41/67) at 36 weeks. There was high engagement with Stay-Active; 82% (55/67) of participants set goals on Stay-Active. Sustained engagement was evident, participants regularly accessed and logged multiples activities on Stay-Active. The intervention was deemed acceptable; 85% of women rated their care was satisfactory or above, supported by written feedback. CONCLUSIONS: This combined intervention was feasible and accepted. Recruitment rates were lower than expected. However, retention rates remained satisfactory and participant compliance with PA measurements and engagement was a high. Future work will explore the intervention's efficacy to increase PA and impact on clinical outcomes. TRIAL REGISTRATION: The study has received a favourable opinion from South Central-Hampshire B Research Ethics Committee; REC reference: 20/SC/0342. ISRCTN11366562.

Validation of Downloadable Mobile Snore Applications by Polysomnography (PSG).

Purpose: Obstructive sleep apnea (OSA) is a common breathing disorder during sleep that is associated with symptoms such as snoring, excessive daytime sleepiness, and breathing interruptions. Polysomnography (PSG) is the most reliable diagnostic test for OSA; however, its high cost and lengthy testing duration make it difficult to access for many patients. With the availability of free snore applications for home-monitoring, this study aimed to validate the top three ranked snore applications, namely SnoreLab (SL), Anti Snore Solution (ASS), and Sleep Cycle Alarm (SCA), using PSG. Patients and Methods: Sixty participants underwent an overnight PSG while simultaneously using three identical smartphones with the tested apps to gather sleep and snoring data. Results: The study discovered that all three applications were significantly correlated with the total recording time and snore counts of PSG, with ASS showing good agreement with snore counts. Furthermore, the Snore Score, Time Snoring of SL, and Sleep Quality of SCA had a significant correlation with the natural logarithm of apnea hypopnea index (lnAHI) of PSG. The Snore Score of SL and the Sleep Quality of SCA were shown to be useful for evaluating snore severity and for pre-diagnosing or predicting OSA above moderate levels. Conclusion: These findings suggest that some parameters of free snore applications can be employed to monitor OSA progress, and future research could involve adjusted algorithms and larger-scale studies to further authenticate these downloadable snore and sleep applications.

Criterion-Related Validity of Consumer-Wearable Activity Trackers for Estimating Steps in Primary Schoolchildren under Controlled Conditions: Fit-Person Study.

The purposes were to examine the criterion-related validity of the steps estimated by consumer-wearable activity trackers (wrist-worn activity trackers: Fitbit Ace 2, Garmin Vivofit Jr, and Xiomi Mi Band 5; smartphone applications: Pedometer, Pedometer Pacer Health, and Google Fit/Apple Health) and their comparability in primary schoolchildren under controlled conditions. An initial sample of 66 primary schoolchildren (final sample = 56; 46.4% females), aged 9-12 years old (mean = 10.4 ± 1.0 years), wore three wrist-worn activity trackers (Fitbit Ace 2, Garmin Vivofit Jr 2, and Xiaomi Mi Band 5) on their non-dominant wrist and had three applications in two smartphones (Pedometer, Pedometer Pacer Health, and Google Fit/Apple Health for Android/iOS installed in Samsung Galaxy S20+/iPhone 11 Pro Max) in simulated front trouser pockets. Primary schoolchildren's steps estimated by the consumer-wearable activity trackers and the video-based counting independently by two researchers (gold standard) were recorded while they performed a 200-meter course in slow, normal and brisk pace walking, and running conditions. Results showed that the criterion-related validity of the step scores estimated by the three Samsung applications and the Garmin Vivofit Jr 2 were good-excellent in the four walking/running conditions (e.g., MAPE = 0.6-2.3%; lower 95% CI of the ICC = 0.81-0.99), as well as being comparable. However, the Apple applications, Fitbit Ace 2, and Xiaomi Mi Band 5 showed poor criterion-related validity and comparability on some walking/running conditions (e.g., lower 95% CI of the ICC < 0.70). Although, as in real life primary schoolchildren also place their smartphones in other parts (e.g., schoolbags, hands or even somewhere away from the body), the criterion-related validity of the Garmin Vivofit Jr 2 potentially would be considerably higher than that of the Samsung applications. The findings of the present study highlight the potential of the Garmin Vivofit Jr 2 for monitoring primary schoolchildren's steps under controlled conditions.

Integrating Smartphone Applications and Wearable Devices for Postoperative Rehabilitation in Total Knee Arthroplasty: A Critical Review.

BACKGROUND: Smartphone and wearable technologies offer innovative methods for monitoring postoperative recovery in total knee arthroplasty (TKA) patients. This review assessed the benefits of these technologies in postoperative care, focusing on (1) smartphone applications, (2) wearable devices, and (3) their combination. METHODS: A systematic search identified studies on smartphone applications and wearables for post-TKA monitoring. The review analyzed 2,119 studies, with 58 meeting criteria: 25 on applications, 25 on wearables, and 8 on both. Studies were rated with a methodology index as well as by levels of evidence. They were then analyzed by categorizing them by adherence and patient satisfaction, functional outcomes and pain scores, gait analyses and ranges of motion, and measurement and comparison tools. RESULTS: A review of 24 of 25 publications related to smartphone applications used for postoperative recovery in TKA showed the potential for improved patient's satisfaction, gait recovery, pain medication scheduling guidance with improved pain management, cost savings, and functional outcomes. Wearable technologies used in postoperative recovery demonstrated monitoring accuracy in 25 studies. These devices also showed effectiveness in gait and motion analysis. Other demonstrated benefits of the wearables were improved outcomes, return to function, cost reduction, and again, better management of pain due to patient interaction and guidance. Studies that combined applications and wearables demonstrated the individual findings with the addition of adherence, patient's satisfaction, and overall mobility improvement at 3 months. CONCLUSIONS: Smartphone applications and wearables can enhance postoperative rehabilitation for TKA patients. Smartphone applications and wearables have been shown in randomized trials to be accurate, effective, and useful in the postoperative rehabilitation of TKA patients. A recurring theme in the review was improved adherence to care plans and medication schedules that ultimately result in improved functional outcomes. These technologies and the data that they generate offer direct patient benefits and the potential for future cost savings.

Fabry App: the value of a portable technology in recording day-to-day patient monitored information in patients with Fabry disease.

BACKGROUND: Fabry disease is a rare inherited disorder resulting from deficient α-galactosidase A enzyme activity. Common disease manifestations are sweating abnormalities, neuropathic pain, gastrointestinal symptoms and fatigue. Challenges are faced by health care professionals in evaluating symptom burden in the current clinical setting, and the demand for alternative methods for monitoring disease-specific symptoms has seen an acceleration in recent years. Smartphone technologies offer the potential for continuity of care and surveillance. As a part of a quality improvement project, a disease specific app was developed in collaboration with a software company (Health Touch Ltd) and made available for patient use in May 2018. The Fabry mobile app records five categories: pain, gastrointestinal symptoms, sweating, activity levels, medications. Fabry disease patients with gastrointestinal and pain symptoms attending the Lysosomal Storage Disorders Unit of the Royal Free London NHS Foundation Trust were reviewed to assess eligibility and invited to download the app for recording their symptoms (activity, sweating, pain and gastrointestinal) and medications. Patient-generated data were transmitted to a secure website for clinicians to review. RESULTS: One-hundred and thirty-nine symptomatic Fabry disease patients who had a smartphone (iPhone or android) were invited to download the app. Sixty-seven patients (26 males and 41 females; median age, 49 years [range, 20-81]) downloaded and tracked the Fabry App at least once. The median frequency of use per patient was 6 (range, 1-629). Pain in the hands and abdominal pain were significantly higher (p = 0.009 and p = 0.007, respectively) in patients with classic phenotype compared with patients with non-classic phenotypes. CONCLUSIONS: We demonstrated the feasibility and acceptability of a smartphone app to facilitate the remote assessment and monitoring of Fabry disease symptom burden on a daily/weekly basis, as an alternative to the current standard of care that requires patients to recall their symptoms during 6 to 12 monthly annual clinic visits. Patients who were more likely to use the app had greater disease burden. This innovation has the potential to assess disease progression, early therapeutic intervention, thereby decreasing the burden of morbidity and mortality among Fabry patients, and to record long-term effects of Fabry-specific therapies.

Short-Term Effect of a Health Promotion Intervention Based on the Electronic 12-Hour Dietary Recall (e-12HR) Smartphone App on Adherence to the Mediterranean Diet Among Spanish Primary Care Professionals: Randomized Controlled Clinical Trial.

BACKGROUND: The World Health Organization has called for addressing the growing burden of noncommunicable diseases (NCDs) by promoting healthy lifestyles among the population. Regarding patient health, primary care professionals (PCPs) are the first line of care who can positively influence patients' behavior and lifestyle habits. However, a significant percentage of PCPs do not lead a healthy lifestyle. Therefore, addressing their health behaviors may be the key to substantially increasing health promotion advice in general practice. The Mediterranean diet has been extensively studied, and there is strong evidence of it being a dietary pattern for the prevention of NCDs, in addition to its significant environmental, sociocultural, and local economics benefits. OBJECTIVE: This study focused only on the dietary aspect of the PCPs' lifestyle. The primary objective was to evaluate the effect of using the Electronic 12-Hour Dietary Recall (e-12HR) smartphone app to improve diet, specifically to promote adherence to the Mediterranean diet (AMD), among PCPs. The secondary objectives were to establish the usability of the e-12HR app and to determine AMD among PCPs. METHODS: An individual-level randomized, controlled, and single-blind clinical trial was conducted with 2 parallel groups: a control group (CG), using the nonfeedback version of the e-12HR app, and an intervention group (IG), using the feedback version of the e-12HR app. The level of human involvement was fully automated through the use of the app. There was a 28-day follow-up period. Participants were PCPs (medicine or nursing) recruited offline at one of the selected primary care centers (Andalusia, Spain, Southern Europe), of both sexes, over 18 years old, possessing a smartphone, and having smartphone literacy. RESULTS: The study response rate was 73% (71 of 97 PCPs), with 27 (38%) women and 44 (62%) men: 40 (56%) PCPs in the CG and 31 (44%) in the IG. At baseline, AMD was medium (mean Mediterranean Diet Serving Score [MDSS] index 9.45, range 0-24), with 47 (66%) PCPs with a medium/high MDSS index. There were significant statistical improvements (CG vs IG, in favor of the IG) at week 4 (no significant statistical differences at baseline): +25.6% for the MDSS index (P=.002) and +213.1% for the percentage with a medium/high MDSS index (P=.001). In relation to specific food groups, there were significant statistical improvements for fruits (+33.8%, P=.02), vegetables (+352%, P=.001), nuts (+184%, P=.02), and legumes (+75.1%, P=.03). The responses to the usability rating questionnaire were satisfactory. CONCLUSIONS: The results support recommending the use of the e-12HR app as a tool to contribute to improving diet and preventing NCDs among PCPs, while positively influencing patient dietary behavior and preventing diet-related NCDs among patients. TRIAL REGISTRATION: ClinicalTrials.gov NCT05532137; https://clinicaltrials.gov/study/NCT05532137.

Do medications increase the efficacy of digital interventions for smoking cessation? Secondary results from the iCanQuit randomized trial.

BACKGROUND AND AIMS: iCanQuit is a smartphone application (app) proven efficacious for smoking cessation in a Phase III randomized controlled trial (RCT). This study aimed to measure whether medications approved by the US Food and Drug Administration (FDA) for smoking cessation would further enhance the efficacy of iCanQuit, relative to its parent trial comparator-the National Cancer Institute's (NCI's) QuitGuide app. DESIGN: Secondary analysis of the entire parent trial sample of a two-group (iCanQuit and QuitGuide), stratified, doubled-blind RCT. SETTING: United States. PARTICIPANTS: Participants who reported using an FDA-approved cessation medication on their own (n = 619) and those who reported no use of cessation medications (n = 1469). INTERVENTIONS: Participants were randomized to receive iCanQuit app or NCI's QuitGuide app. MEASUREMENTS: Use of FDA-approved medications was measured at 3 months post-randomization. Smoking cessation outcomes were measured at 3, 6 and 12 months. The primary outcome was 12-month self-reported 30-day point prevalence abstinence (PPA). FINDINGS: The data retention rate at the 12-month follow-up was 94.0%. Participants were aged 38.5 years, 71.0% female, 36.6% minority race/ethnicity, 40.6% high school or less education, residing in all 50 US States and smoking 19.2 cigarettes/day. The 29.6% of all participants who used medications were more likely to choose nicotine replacement therapy (NRT; 78.8%) than other cessation medications (i.e. varenicline or bupropion; 18.3 and 10.5%, respectively) and use did not differ by app treatment assignment (all P > 0.05). There was a significant (P = 0.049) interaction between medication use and app treatment assignment on PPA. Specifically, 12-month quit rates were 34% for iCanQuit versus 20% for QuitGuide [odds ratio (OR) = 2.36, 95% confidence interval (CI) = 1.59, 3.49] among participants reporting any medication use, whereas among participants reporting no medication use, quit rates were 28% for iCanQuit versus 22% for QuitGuide (OR = 1.41, 95% CI = 1.09, 1.82). Results were stronger for those using only NRT: 40% quit rates for iCanQuit versus 18% quit rates for QuitGuide (OR = 3.57, 95% CI = 2.20, 5.79). CONCLUSIONS: The iCanQuit smartphone app for smoking cessation was more efficacious than the QuitGuide smartphone app, regardless of whether participants used medications to aid cessation. Smoking cessation medications, especially nicotine replacement therapy, might enhance the efficacy of the iCanQuit app.

Perceived Usefulness of Smartphone Medical Apps As Theoretical and Clinical Learning Aids Among Medical Students in Pakistan: A Cross-Sectional Study.

Background Smartphone applications have become popular tools in clinical educational environments, particularly because they enhance learning in any setting through their accessibility. Despite students utilizing these apps in their daily learning, Pakistan's medical education system has yet to strongly endorse them. Given the rising usage of medical applications among clinical year medical students and the wide range of apps accessible on contemporary devices aimed specifically at the student population, there is a lack of literature addressing the use of these apps on clinical learning in low- and middle-income countries (LMIC) such as Pakistan. Objectives Our study aims to (1) assess the level of awareness among clinical-year medical students in Pakistan, of smartphone applications for academic purposes, (2) determine the usefulness of medical apps as educational tools for clinical-year medical students, in terms of enhancing overall patient-care skills and (3) identify barriers to the usage of apps among students who do not have them installed. Methods This online questionnaire-based study includes clinical year medical students across four medical colleges (two private and two public sectors) in Pakistan. Participant identity was kept anonymous and informed consent was required to participate. A sample size of 360 was used based on previous studies in the UK and student estimates from chosen medical colleges. The questionnaire tool used consists of three sections; demographics and medical school information, perceived usefulness of medical smartphone apps on a Likert Scale and barriers to usage among students who do not have them installed. Results 97.9% of the total study population chose to participate in the study. There was roughly an equal percentage of responses from each clinical year and 72% of students reported active use of medical apps of which the vast majority (48%) have one to two apps on their phones. Only 39% of students felt that their medical colleges encourage the use of smartphone apps for academic purposes. 54% of students use apps to look up medical criteria for disease processes and almost 42% use them to search medications. On a Likert scale of 1-5, improvement of clinical performance received highest average score among users (3.92, SD 1.1), followed by quick access to medical guidelines (3.83, SD 1.0). The most common reasons for nonuse of medical apps were medical colleges not offering subscriptions and not knowing how to utilize apps. Conclusion Smartphone apps are widely used by clinical year medical students for academic purposes in our study. Despite lack of endorsement from their respective medical colleges, these apps are still popularly utilized for revision and research on disease criteria during clinics and rounds. Encouragement from the university has been identified as a significant barrier, however. Students who use smartphone apps reported an improvement in clinical performance overall; they were able to retrieve information quicker during rounds and noticed enhancements in formulating diagnoses and reading radiological images. In contrast, those not using these apps faced challenges with interpreting imaging results, recalling pharmacological properties of medications and developing differential diagnoses. Through these findings, we highlight the benefits of incorporating technological media into the undergraduate curriculum and hope medical universities from Pakistan can take inspiration.

Piloting a prenatal care smartphone application and care navigation intervention at a federally qualified health center.

BACKGROUND: Given that smartphones are widely used among reproductive-age people of all socioeconomic backgrounds, a smartphone application may be a useful supplement to routine prenatal care. OBJECTIVE: This study aimed to describe the implementation of a smartphone app that offers patient education, depression screening, social determinants of health screening, and care coordination as an adjunct to routine prenatal care at a federally qualified health center. We further sought to characterize app engagement and the association of app use with pregnancy outcomes. STUDY DESIGN: The implementation of the smartphone app was a quality improvement initiative in which the app was made available to all people receiving prenatal care at a designated federally qualified health center between December 2020 and December 2021. Individuals who both initiated prenatal care at this site before 28 weeks of gestation and delivered at our institution during the above-defined period were studied retrospectively after obtaining institutional approval. Summary statistics were used to describe app implementation and information regarding social determinants of health and depression screening. Demographics and maternal and neonatal outcomes were compared between app enrollees and patients receiving prenatal care at the same site who were not enrolled in the app. Data were analyzed using the 2-sample t test to compare continuous variables and the chi-square test to compare categorical variables. RESULTS: Overall, 800 patients receiving prenatal care at the federally qualified health center during the identified period were telephonically approached for enrollment in the smartphone app. A total of 613 people (76.6%) were successfully reached, and of those successfully reached, 538 (87.7%) accepted enrollment in the app; 76.6% of app enrollees (n=412) completed at least 1 social determinants of health screen. Of those, 29.1% (n=120) screened positive for at least 1 need. Of those with positive screens, 51.7% (n=62) accepted referral to resources to address the identified need. Furthermore, 81% of app enrollees (n=443) completed at least 1 depression screen. Of those, 13.1% (n=58) screened positive for depression, and 37.9% (n=22) of those with positive screens accepted a referral to behavioral health services. A total of 483 people met the inclusion criteria for retrospective review: 264 were enrolled in the smartphone app and 219 were not. App enrollees were more likely to speak English (79.9% of app group vs 61.6% of the non-app group; P<.0001), identify as Hispanic (52.7% vs 39.7%; P=.02), and be privately insured (24.6% vs 15.5%; P=.005), and less likely to have a social determinants of health-related need (10.0% vs 21.0%; P=.01). There were no significant differences in mode of delivery or maternal and neonatal outcomes between the 2 groups. CONCLUSION: A high proportion of patients receiving care through our federally qualified health center enrolled in and used the smartphone app and its associated care coordination. This could be a useful tool to screen for depression and adverse social determinants of health in underserved communities. Given that individuals of higher-resource backgrounds seem more likely to enroll in smartphone apps, a more targeted approach is needed to help connect patients of lower-resource backgrounds to smartphone apps and the resources that they offer.

Plant identification applications do not reliably identify toxic and edible plants in the American Midwest.

INTRODUCTION: Exposure to potentially toxic plants is a global problem, resulting in thousands of calls to poison centers and emergency department visits annually and occasional deaths. Persons with limited botanical knowledge may be tempted to rely on smartphone applications to determine if plants are safe to forage. This study evaluated the reliability of several popular smartphone applications to identify foraged foods and distinguish them from potentially toxic plants in the Midwestern United States. METHODS: Sixteen plant species were selected based on local availability, attractiveness as foraged food, and potential for misidentification. Of the 16 species, five are edible, three are potentially toxic if improperly harvested or prepared, and eight are considered to be toxic. Plant specimens were identified by graduate-level botanists and photographed during multiple stages of their growth cycles. LeafSnap, PictureThis, Pl@ntNet and PlantSnap were used to identify the plants. RESULTS: Overall accuracy of the applications in identifying plant genus was 76% (95% confidence interval: 73-79, range 96% for PictureThis to 53% for PlantSnap). Accuracy for identification of plant species was 58% (95% confidence interval 55-62%, range 94% for PictureThis to 34% for PlantSnap). Five of eleven potentially toxic species were identified as an edible species by at least one application. CONCLUSION: Accuracy of the smartphone applications varies, with PictureThis outperforming other apps. At this time, apps cannot be used to safely identify edible plants. Foragers must have adequate botanical knowledge to ensure safe harvesting of wild plants.

Developing and testing a prototype smartphone educational application to address incivility and bullying in nursing workplaces.

BACKGROUND: Incivility and bullying in the nursing workplace may induce psychological trauma and increase staff turnover, however, the effects can be mitigated by cognitive rehearsal therapy. Smartphone education applications have emerged as an important educational tool in recent years. However, to date, no educational applications have been developed that combine cognitive rehearsal approaches with clinical situations. Therefore, in this study an education application (Easy Play Communication) was developed and tested to address incivility and bullying in the nursing workplace. DESIGN/METHODS: This study design was employed in two phases. Phase 1 (February 2020-March 2021) combined analysis, design, development, implementation, and evaluation (ADDIE model) stages in the application development process. This phase involved conducting research into educational training and cognitive rehearsal literature, consultations with seven experts in related fields and administering a user needs questionnaire among 41 nurses. Phase 2 (April 2021-December 2021) was a pilot test phase, where 47 Mandarin and Taiwanese speaking nurses used the application to conduct cognitive rehearsal training. Changes in workplace incivility and bullying were tested using a pretest-posttest design. The posttest was conducted one week after the pretest. RESULTS: Phase 1 showed user satisfaction with the app's accessibility (96.3 %), practicality (81.4 %), willingness to use (92.6 %), information content (88.9 %), information quality (88.9 %), and interface quality (88.9 %). Phase 2 showed that participants' perceived incivility in their interactions with other nurses, physicians, and patients and their family members decreased over the study period. DISCUSSION/IMPLICATIONS: The findings indicate that smartphone applications combining theoretical knowledge with practical exercises can have a positive impact on nurses in the context of workplace incivility and bullying. We also demonstrated a development process that can be used to build applications for clinical nurses.

High-resolution app data reveal sustained increases in recreational fishing effort in Europe during and after COVID-19 lockdowns.

It is well recognized that COVID-19 lockdowns impacted human interactions with natural ecosystems. One example is recreational fishing, which, in developed countries, involves approximately 10% of people. Fishing licence sales and observations at angling locations suggest that recreational fishing effort increased substantially during lockdowns. However, the extent and duration of this increase remain largely unknown. We used four years (2018-2021) of high-resolution data from a personal fish-finder device to explore the impact of COVID-19 lockdowns on angling effort in four European countries. We show that relative device use and angling effort increased 1.2-3.8-fold during March-May 2020 and generally remained elevated even at the end of 2021. Fishing during the first lockdown also became more frequent on weekdays. Statistical models explained 50-70% of the variation, suggesting that device use and angling effort were relatively consistent and predictable through space and time. Our study demonstrates that recreational fishing behaviour can change substantially and rapidly in response to societal shifts, with profound ecological, human well-being and economic implications. We also show the potential of angler devices and smartphone applications for high-resolution fishing effort analysis and encourage more extensive science and industry collaborations to take advantage of this information.

Exploring mHealth applications for self-management of chronic low back pain: A survey of features and benefits.

The adoption of Mobile Health (mHealth) for self-management is growing. mHealth solutions are commonly used in public healthcare and health services, where they are appreciated for their ease of use, broad reach, and wide acceptance. Chronic Low Back Pain (CLBP) is one of the most common health problems and a leading cause of disability. As such, it imposes a tremendous burden on patients and society. Studies have proposed that mHealth self-management solutions, such as mobile applications, can supplement traditional care methods and benefit patients, particularly in self-managing CLBP easier. To this end, the number of available mobile applications for CLBP has increased. This paper i) provides an overview of scientific studies on mobile applications for CLBP management from three different viewpoints: researchers, health professionals, and patients, ii) uncovers the application features that were seen as beneficial in the studies, and iii) contrasts the currently available applications for CLBP in Google Play Store and Apple App Store against the discovered features. The findings show that "Personalization and customization" is the most significant feature as it is beneficial from stakeholders' viewpoint and is represented by most applications. In contrast, "Gamification" and "Artificial intelligence" are the least significant features, indicating a lack of attention from application creators and researchers in this area.

Non-Melanoma Skin Cancer Detection in the Age of Advanced Technology: A Review.

Skin cancer is the most common cancer diagnosis in the United States, with approximately one in five Americans expected to be diagnosed within their lifetime. Non-melanoma skin cancer is the most prevalent type of skin cancer, and as cases rise globally, physicians need reliable tools for early detection. Artificial intelligence has gained substantial interest as a decision support tool in medicine, particularly in image analysis, where deep learning has proven to be an effective tool. Because specialties such as dermatology rely primarily on visual diagnoses, deep learning could have many diagnostic applications, including the diagnosis of skin cancer. Furthermore, with the advancement of mobile smartphones and their increasingly powerful cameras, deep learning technology could also be utilized in remote skin cancer screening applications. Ultimately, the available data for the detection and diagnosis of skin cancer using deep learning technology are promising, revealing sensitivity and specificity that are not inferior to those of trained dermatologists. Work is still needed to increase the clinical use of AI-based tools, but based on the current data and the attitudes of patients and physicians, deep learning technology could be used effectively as a clinical decision-making tool in collaboration with physicians to improve diagnostic efficiency and accuracy.

Spatial and social disparities in the decline of activities during the COVID-19 lockdown in Greater London.

We use data on human mobility obtained from mobile applications to explore the activity patterns in the neighbourhoods of Greater London as they emerged from the first wave of COVID-19 lockdown restrictions during summer 2020 and analyse how the lockdown guidelines have exposed the socio-spatial fragmentation between urban communities. The location data are spatially aggregated to 1 km2 grids and cross-checked against publicly available mobility metrics (e.g. Google COVID-19 Community Report, Apple Mobility Trends Report). They are then linked to geodemographic classifications to compare the average decline of activities in the areas with different sociodemographic characteristics. We found that the activities in the deprived areas dominated by minority groups declined less compared to the Greater London average, leaving those communities more exposed to the virus. Meanwhile, the activity levels declined more in affluent areas dominated by white-collar jobs. Furthermore, due to the closure of non-essential stores, activities declined more in premium shopping destinations and less in suburban high streets.

[Monotonous sound stimuli embedded with either binaural or monaural beats have the same effect on sleep latency: study on a large subject group]. / Vliyanie binaural'nykh i monaural'nykh bienii v strukture monotonnogo zvukovogo stimula na latentnost' sna.

OBJECTIVE: The aim of this study was to test on a large group of subjects the hypothesis that sleep latency (SL) does not depend on the nature of low-frequency beats embedded into monotonous sound stimulus supplied through the fall-asleep process. Specifically, it does not depend on whether those beats are monaural (MB) or binaural (BB). MATERIAL AND METHODS: A special application for Android OS was developed and installed on the individual smartphones of 221 subjects for the purpose of the study. Three attempts were performed with each of them using 3 different kinds of monotonous sound supplied according to counterbalanced design. Three kinds of sound were identical in pitch but differed in the beat presence and type: BB, MB or sham (sound without beats). RESULTS: Repeated measures analysis of variance (rANOVA) revealed no significant statistical effect of stimulus type on SL (p=0.21). A pairwise comparison of SL for different stimulation conditions showed the null hypothesis significance level adjusted according to multiple comparison correction to be p=1.0. Thus, in this experiment SL did not significantly depend on the monotonous sound stimulus type: MB, BB, or sham. CONCLUSION: The software application developed is useful as universal platform to assess at home conditions the impact of various external factors on fall-asleep process.