Purpose: Strabismus is a common ocular condition requiring precise quantification of gaze deviation and qualification of strabismus category. Telemedicine refers to the use of technology to remotely diagnose and treat medical conditions. This narrative review aimed to assess the efficacy of a variety of telemedicine modalities for the assessment of strabismus. A secondary objective was to quantify overall accuracy, sensitivity, and specificity of automated methods using meta-analysis of available data. Methods: A literature search was conducted using the Ovid MEDLINE, Embase, and Cochrane Library data libraries. Keywords, including \"strabismus,\" \"phoria,\" \"telemed*,\" and \"telehealth,\" were used to locate relevant studies, with Medical Subject Headings terms, free text, and synonyms. No year restrictions were applied. Studies not in English were excluded. Risk of bias was assessed using the QUADAS-2 tool. Results: Thirty-four studies were included. All outcomes relating to accuracy and reliability of telemedicine versus a reference standard were extracted, as well as qualitative observations. High sensitivity, specificity, accuracy, and agreement were consistently shown across studies. Meta-analysis of two subsets featuring automated methods, for which relevant data were available, revealed a pooled accuracy of 0.877 (0.806-0.949), sensitivity of 0.856 (0.805-0.907), and specificity of 0.900 (0.845-0.954). Subcategories \"remote standard assessment,\" \"digital image analysis,\" \"wearable devices,\" \"mobile health (mHealth),\" and \"artificial intelligence\" were independently examined. Conclusions: The majority of systems achieved parity with standard physician assessment, with the added benefit of eliminating subjectivity. Meta-analysis results suggest potential introduction of remote automated assessment where conventional assessment is unavailable, although accuracy of current technologies remains limited compared to in-person examination. Telemedicine modalities described offer convenience for patients, shorter examination times, and the potential to go beyond in-person assessments. The evidence gathered in this review supports the beginning of telemedicine integration into the world of strabismus diagnosis.

Health and exercise technology may promote a healthy lifestyle during pregnancy. The objective of this cross-sectional study was to understand and involve the perspective of pregnant women as users in the design of a framework for future e-health and exercise interventions during pregnancy. Pregnant women replied to a questionnaire aimed at understanding their physical activity patterns, needs, and preferences regarding the use of mobile applications (apps). The main results showed that one-third of the women did not practice any type of exercise during pregnancy. Women preferred to exercise in a gym, outdoors, or at home. The majority already had or were currently using a fitness app, but never used any pregnancy-specific app. Most women agreed that it was important to have a specific app for pregnancy to improve knowledge about recommendations on lifestyle, have direct contact with health and exercise professionals, have social interaction with other mothers, and have guidance on preparation for childbirth and postpartum recovery. Understanding and involving the perspective of pregnant women as users will allow researchers to improve the design of a pregnancy-specific app and future e-health and exercise interventions during pregnancy. These preliminary results will lead to the development of the \"active pregnancy app\" focused on the promotion of an active and healthy lifestyle during pregnancy and postpartum.

BACKGROUND: None of the early M-Health applications are designed for case management care services. This study aims to describe the process of developing a M-health component for the case management model in breast cancer transitional care and to highlight methods for solving the common obstacles faced during the application of M-health nursing service.
METHODS: We followed a four-step process: (a) Forming a cross-functional interdisciplinary development team containing two sub-teams, one for content development and the other for software development. (b) Applying self-management theory as the theoretical framework to develop the M-health application, using contextual analysis to gain a comprehensive understanding of the case management needs of oncology nursing specialists and the supportive care needs of out-of-hospital breast cancer patients. We validated the preliminary concepts of the framework and functionality of the M-health application through multiple interdisciplinary team discussions. (c) Adopting a multi-stage optimization strategy consisting of three progressive stages: screening, refining, and confirmation to develop and continually improve the WeChat mini-programs. (d) Following the user-centered principle throughout the development process and involving oncology nursing specialists and breast cancer patients at every stage.
RESULTS: Through a continuous, iterative development process and rigorous testing, we have developed patient-end and nurse-end program for breast cancer case management. The patient-end program contains four functional modules: \"Information\", \"Interaction\", \"Management\", and \"My\", while the nurse-end program includes three functional modules: \"Consultation\", \"Management\", and \"My\". The patient-end program scored 78.75 on the System Usability Scale and showed a 100% task passing rate, indicating that the programs were easy to use.
CONCLUSIONS: Based on the contextual analysis, multi-stage optimization strategy, and interdisciplinary team work, a WeChat mini-program has been developed tailored to the requirements of the nurses and patients. This approach leverages the expertise of professionals from multiple disciplines to create effective and evidence-based solutions that can improve patient outcomes and quality of care.

UNASSIGNED: Adolescent nutrition has faced a policy neglect, partly owing to the gaps in dietary intake data for this age group. The Food Recognition Assistance and Nudging Insights (FRANI) is a smartphone application validated for dietary assessment and to influence users toward healthy food choices.
UNASSIGNED: This study aimed to assess the feasibility (adherence, acceptability, and usability) of FRANI and its effects on food choices and diet quality in female adolescents in Vietnam.
UNASSIGNED: Adolescents (N = 36) were randomly selected from a public school and allocated into 2 groups. The control group received smartphones with a version of FRANI limited to dietary assessment, whereas the intervention received smartphones with gamified FRANI. After the first 4 wk, both groups used gamified FRANI for further 2 wk. The primary outcome was the feasibility of using FRANI as measured by adherence (the proportion of completed food records), acceptability and usability (the proportion of participants who considered FRANI acceptable and usable according to answers of a Likert questionnaire). Secondary outcomes included the percentage of meals recorded, the Minimum Dietary Diversity for Women (MDDW) and the Eat-Lancet Diet Score (ELDS). Dietary diversity is important for dietary quality, and sustainable healthy diets are important to reduce carbon emissions. Poisson regression models were used to estimate the effect of gamified FRANI on the MDDW and ELDS.
UNASSIGNED: Adherence to the application was 82% and the percentage of meals recorded was 97%. Acceptability and usability were 97%. MDDW in the intervention group was 1.07 points (95% CI: 0.98, 1.18; P = 0.13) greater than that in the control (constant = 4.68); however, the difference was not statistically significant. Moreover, ELDS in the intervention was 1.09 (95% CI: 1.01, 1.18; P = 0.03) points greater than in the control (constant = 3.67).
UNASSIGNED: FRANI was feasible and may be effective to influence users toward healthy food choices. Research is needed for FRANI in different contexts and at scale.The trial was registered at the International Standard Randomized Controlled Trial Number as ISRCTN 10681553.

Background: The quantification of self-triage effectiveness, guided by mobile applications, in urgent direct-to-consumer telemedicine (TM) encounters requires further investigation. The objective of this study was to evaluate the outcomes of referral guidance provided by a symptom-based self-management mobile application decision algorithm in the context of remote urgent care assessments. Methods: An observational retrospective single-center study was conducted from May 2022 to December 2023. The inclusion criteria encompassed individuals aged >18 years old, and those spontaneously seeking virtual emergency care through the EINSTEIN CONECTA application. Patients experiencing connectivity issues, preventing completion of the encounter, were excluded. The primary outcomes included the rate of patient concurrence with the algorithm\'s recommendation for seeking in-person emergency care and the referral rate to face-to-face assessment among cases evaluated through TM. The application\'s algorithm employs scientific evidence based on symptoms to recommend referrals to emergency departments (EDs). Results: Out of 88,834 patients connected to the TM Center, self-triage obviated the need for virtual physician assessment in 53,302 (60%) encounters. A total of 35,532 patients were remotely evaluated by 316 on-duty physicians, resulting in 1,125 ICD-coded diagnoses. Among these, 21,722 (61.1%) were initially advised by self-triage to visit the ED, with subsequent medical assessment leading to in-person referrals in 6,354 (29.3%) of the evaluations. Of the 13,810 patients recommended to continue with virtual care post-self-triage, 157 (1.1%) were referred for in-person assessment. Conclusions: Self-triage effectively reduced the need for physician encounters in approximately three-fifths of TM consultations. Despite being based on scientific evidence, symptom-based referral algorithms demonstrated high sensitivity but poor correlation with physician decision-making.

The migration of federal assistance services to online platforms during the COVID-19 pandemic sparked interest in digital nutrition education for individuals participating in the Supplemental Nutrition Assistance Program (SNAP) and Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) programs. With federal government investing in the modernization of the nutrition education components of both programs, there is a need to identify science-backed electronic health (e-health) dietary interventions to improve health outcomes in this population. Therefore, the objective of this systematic literature review was to summarize the effectiveness, acceptability, and feasibility of e-health dietary interventions among individuals participating in WIC or SNAP. Keyword searches were performed in Google Scholar, PubMed, and Science Direct. The search included peer-reviewed literature from 2014 to 2023 and a few articles offering context about interventions used long-term by the nutrition assistance programs. PRISMA guidelines were followed to conduct this systematic literature review, which resulted in 36 articles eligible for extraction. The studies evaluated e-health (52.8%), short message service/text messaging (27.8%), and smartphone application interventions (19.4%) delivered to WIC or SNAP participants. The interventions identified aimed to modify food choice, eating behavior, and dietary intake among SNAP participants, SNAP-eligible adults, and WIC participants. Most interventions were developed using content delivery and health behavior theoretical frameworks (77.8%) and evidence-based nutritional recommendations (59.3%). Review findings show a high level of acceptability and feasibility for e-health and mobile health dietary interventions among WIC and SNAP participants but varying levels of effectiveness. Level of engagement, dosage, retention, and adherence were strong predictors of positive dietary behavior change regardless of the mode of intervention delivery. Future studies need to prioritize health equity by recruiting samples representative of food nutrition assistance participants and addressing digital health literacy as a potential barrier to intervention effectiveness, as none of the present studies measured literacy among participants.

Depression is common in attention-deficit/hyperactivity disorder (ADHD), but preventive behavioural interventions are lacking. This randomised controlled, pilot phase-IIa trial aimed to study a physical exercise intervention (EI) and bright light therapy (BLT)-both implemented and monitored in an individual, naturalistic setting via a mobile health (m-health) system-for feasibility of trial design and interventions, and to estimate their effects on depressive symptoms in young people with ADHD. Two hundred seven participants aged 14-45 years were randomised to 10-week add-on intervention of either BLT (10,000 lx; daily 30-min sessions) (n = 70), EI (aerobic and muscle-strengthening activities 3 days/ week) (n = 69), or treatment-as-usual (TAU) (n = 68), of whom 165 (80%) were retained (BLT: n = 54; EI: n = 52; TAU: n = 59). Intervention adherence (i.e. ≥ 80% completed sessions) was very low for both BLT (n = 13, 22%) and EI (n = 4, 7%). Usability of the m-health system to conduct interventions was limited as indicated by objective and subjective data. Safety was high and comparable between groups. Changes in depressive symptoms (assessed via observer-blind ratings, Inventory of Depressive Symptomatology) between baseline and end of intervention were small (BLT: -0.124 [95% CI: -2.219, 1.971], EI: -2.646 [95% CI: -4.777, -0.515], TAU: -1.428 [95% CI: -3.381, 0.526]) with no group differences [F(2,153) = 1.45, p = 0.2384]. These findings suggest that the m-health approach did not achieve feasibility of EI and BLT in young people with ADHD. Prior to designing efficacy studies, strategies how to achieve high intervention adherence should be specifically investigated in this patient group. TRIAL REGISTRATION: ClinicalTrials.gov, NCT03371810, 13 December 2017.

The main objective of this protocol is to understand the effectiveness of the use of a mobile application (OcupApp) to generate a personal self-analysis about meaningful activities in a population of adults aged between 50 and 70 years with low or moderate depression/anxiety. A randomised study will be carried out comparing the effects of the use of the OcupApp application with a control intervention on health-related quality of life, mental health, frequency of participation on meaningful activities, and perceived occupational balance. This is the first study to use occupational self-analysis in m-health to improve occupational balance, mental health, frequency of participation in meaningful activities and health-related quality of life. The app was co-created with a population whose characteristics are similar to those of the target users, and it was tested in both the intervention itself and the presentation, thus it is expected to be effective.
Trial Registration Number: Clinical Trial B1-2020_25.
This is the first study to evaluate the impact of an app on occupational participation in people older than 50 years with mild-moderate anxiety and/or depressionIntroducing an occupational self-analysis app that helps people become aware of their occupations can improve health-related quality of life, mental health, frequency of participation on meaningful activities, and perceived occupational balance.OcupApp will allow people to go under occupational self-analysis process from home or any other place, maintaining the principles of the original programme.

BACKGROUND: Digital health or \"e-Health\" is a set of applications based on Information and Communication Technologies that can be used to promote self-care and medication adherence in patients with chronic diseases. The aim of this study was to carry out a review of systematic reviews (meta-review) on efficacy studies of e-Health interventions to promote adherence to antiretroviral therapy in people living with HIV/AIDS.
METHODS: A review of systematic reviews (\"meta-review\") was performed using the Medline-PubMed database on efficacy studies of e-Health components to promote adherence to antirretroviral therapy, in patients with HIV/AIDS, proposing a structured search strategy (PICO question). A selection process for systematic reviews was conducted based on inclusion and exclusion criteria. Subsequently, the corresponding data were extracted, and the analysis was accomplished in descriptive tables.
RESULTS: A total of 29 systematic reviews were identified, from which 11 were selected. These reviews comprised 55 randomized controlled therapies with different e-Health interventions and enrolled a total of 15,311 HIV/AIDS patients. Studies included a total of 66 comparisons (experimental group vs. control group) in indirect adherence measurements based on different measurement techniques (36 statistically significant); 21 comparisons of viral load measurements (10 statistically significant); and 8 comparisons of CD4+ cell count measurements (3 statistically significant). m-Health was the most studied component followed by the telephone call and e-Learning.
CONCLUSIONS: Evidence was found that supports that some e-Health interventions are effective in promoting adherence to antirretroviral therapy and improving health outcomes in patients with HIV/AIDS, although it is identified that more studies are needed for more robust evidence.

Gestational diabetes (GDM) is associated with a long-term risk of diabetes. We aimed to determine whether a text-messaging-based lifestyle support program would improve diabetes risk factors following GDM. Women with GDM were randomised following delivery to receive four text messages per week supporting a healthy lifestyle and parenting for 6 months, with feedback from an activity monitor (intervention), or to receive the activity monitor only (control). The primary outcome was a composite of weight, physical activity and dietary goals. There were 177 women randomised, with 88 intervention and 89 control participants. All the participants experienced COVID-19 lockdowns during the study. Six-month primary outcome data were obtained for 57 intervention participants and 56 controls. There were 7/57 (12%) intervention and 6/56 (11%) control participants who met the primary outcome (relative risk, 1.08; 95%CI, 0.63-1.85; p = 0.79). Two intervention participants met the dietary goals compared to none of the control participants (p = NS). The intervention participants were more likely to record >1000 steps/day (on 102 ± 59 vs. 81 ± 59 days, p = 0.03). When analysed monthly, this was not initially different but became significant 3-6 months post-partum. Interviews and surveys indicated that with the Intervention, healthier choices were made, but these were negatively impacted by COVID-19 restrictions. Participants found the messages motivational (74%) and the activity monitor useful (71%). In conclusion, no improvement in the diabetes risk factors occurred among the women receiving the text messaging intervention when affected by COVID-19 restrictions.