Stacked probability plots of the extended illness-death model using constant transition hazards - an easy to use shiny app.

BACKGROUND: Extended illness-death models (a specific class of multistate models) are a useful tool to analyse situations like hospital-acquired infections, ventilation-associated pneumonia, and transfers between hospitals. The main components of these models are hazard rates and transition probabilities. Calculation of different measures and their interpretation can be challenging due to their complexity. METHODS: By assuming time-constant hazards, the complexity of these models becomes manageable and closed mathematical forms for transition probabilities can be derived. Using these forms, we created a tool in R to visualize transition probabilities via stacked probability plots. RESULTS: In this article, we present this tool and give some insights into its theoretical background. Using published examples, we give guidelines on how this tool can be used. Our goal is to provide an instrument that helps obtain a deeper understanding of a complex multistate setting. CONCLUSION: While multistate models (in particular extended illness-death models), can be highly complex, this tool can be used in studies to both understand assumptions, which have been made during planning and as a first step in analysing complex data structures. An online version of this tool can be found at https://eidm.imbi.uni-freiburg.de/ .

Effectiveness of Gerontechnology Empowerment Program on Awareness and Use of Mobile Apps Among Older Adults for Instrumental Activities of Daily Living: Protocol for a Cluster Randomized Controlled Trial.

BACKGROUND: Instrumental activities of daily living (iADLs) are crucial for older adults to live independently. Health care and technological advancements will increase the older adult population and life expectancy globally. Difficulties with iADLs impact older adults' quality of life. Mobile apps can assist older adults, but many require help due to limited awareness. Lack of awareness is a barrier to app use. Existing literature mainly covers health care and app design, needing more focus on iADL apps for older adults. OBJECTIVE: The study objectives encompass 2 main aspects: first, to evaluate the awareness, use, and factors influencing the use of apps among older adults for iADLs; and second, to create and assess the effectiveness of a gerontechnology empowerment program (GEP) for older adults on the awareness and use of apps for iADLs. METHODS: This research uses a quantitative approach divided into 2 distinct phases. In phase 1, we conduct a descriptive survey to assess the level of awareness and use of mobile apps for iADLs and identify the factors that influence the use of such apps among older adults. To ensure clarity and comprehension among participants, we provide them with a subject information sheet in both Kannada and English. The data collected during this phase enable us to gain insights into awareness levels, use patterns, and factors that shape older adults' use of apps for iADLs. The results serve as the foundation for designing the GEP. In phase 2, a cluster randomization method will be used to select older adults aged 60 to 75 years in Udupi district, Karnataka, India, who are active smartphone users. These participants will be divided into 2 groups: the experimental and the control groups. The experimental group will join the GEP. The sample size for phase 1 is 554, and phase 2 is 50. To assess the effectiveness of this program, we will measure the outcomes before and after its implementation using the same assessment tools used in phase 1. RESULTS: This study is funded by the Indian Council of Medical Research (Adhoc/193/2022/SBHSR on November 18, 2022). Phase 1 data collection is expected to be completed by November 2023, and phase 2 is scheduled to commence in the upcoming months. Phase 1 and 2 findings will be analyzed and discussed in the main paper, which we intend to submit to a high-quality peer-reviewed journal for publication. The research protocol, informed consent forms, and associated documentation received approval from institutional ethics committees (214/2020). CONCLUSIONS: Upon the successful testing of the GEP, it can be recommended that welfare departments encourage older adults to use mobile apps for iADLs and establish training programs to provide support to older adults in using these apps. TRIAL REGISTRATION: Clinical Trials Registry - India CTRI/2020/09/027977; https://ctri.nic.in/Clinicaltrials/pmaindet2.php?EncHid=NDUxMzM=&Enc=&userName=027977. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/53587.

Understanding Patient Perspectives on the Use of Gamification and Incentives in mHealth Apps to Improve Medication Adherence: Qualitative Study.

BACKGROUND: Medication nonadherence remains a significant health and economic burden in many high-income countries. Emerging smartphone interventions have started to use features such as gamification and financial incentives with varying degrees of effectiveness on medication adherence and health outcomes. A more consistent approach to applying these features, informed by patient perspectives, may result in more predictable and beneficial results from this type of intervention. OBJECTIVE: This qualitative study aims to identify patient perspectives on the use of gamification and financial incentives in mobile health (mHealth) apps for medication adherence in Australian patients taking medication for chronic conditions. METHODS: A total of 19 participants were included in iterative semistructured web-based focus groups conducted between May and December 2022. The facilitator used exploratory prompts relating to mHealth apps, gamification, and financial incentives, along with concepts raised from previous focus groups. Transcriptions were independently coded to develop a set of themes. RESULTS: Three themes were identified: purpose-driven design, trust-based standards, and personal choice. All participants acknowledged gamification and financial incentives as potentially effective features in mHealth apps for medication adherence. However, they also indicated that the effectiveness heavily depended on implementation and execution. Major concerns relating to gamification and financial incentives were perceived trivialization and potential for medication abuse, respectively. CONCLUSIONS: The study's findings provide a foundation for developers seeking to apply these novel features in an app intervention for a general cohort of patients. However, the study highlights the need for standards for mHealth apps for medication adherence, with particular attention to the use of gamification and financial incentives. Future research with patients and stakeholders across the mHealth app ecosystem should be explored to formalize and validate a set of standards or framework.

Rehabilitation Applications Based on Behavioral Therapy for People With Knee Osteoarthritis: Systematic Review.

BACKGROUND: The development of digital applications based on behavioral therapies to support patients with knee osteoarthritis (KOA) has attracted increasing attention in the field of rehabilitation. This paper presents a systematic review of research on digital applications based on behavioral therapies for people with KOA. OBJECTIVE: This review aims to describe the characteristics of relevant digital applications, with a special focus on the current state of behavioral therapies, digital interaction technologies, and user participation in design. The secondary aim is to summarize intervention outcomes and user evaluations of digital applications. METHODS: A systematic literature search was conducted using the keywords "Knee Osteoarthritis," "Behavior Therapy," and "Digitization" in the following databases (from January 2013 to July 2023): Web of Science, Embase, Science Direct, Ovid, and PubMed. The Mixed Methods Assessment Tool (MMAT) was used to assess the quality of evidence. Two researchers independently screened and extracted the data. RESULTS: A total of 36 studies met the inclusion criteria and were further analyzed. Behavioral change techniques (BCTs) and cognitive behavioral therapy (CBT) were frequently combined when developing digital applications. The most prevalent areas were goals and planning (n=31) and repetition and substitution (n=27), which were frequently used to develop physical activity (PA) goals and adherence. The most prevalent combination strategy was app/website plus SMS text message/telephone/email (n=12), which has tremendous potential. This area of application design offers notable advantages, primarily manifesting in pain mitigation (n=24), reduction of physical dysfunction (n=21), and augmentation of PA levels (n=12). Additionally, when formulating design strategies, it is imperative to consider the perspectives of stakeholders, especially in response to the identified shortcomings in application design elucidated within the study. CONCLUSIONS: The results demonstrate that "goals and planning" and "repetition and substitution" are frequently used to develop PA goals and PA behavior adherence. The most prevalent combination strategy was app/website plus SMS text message/telephone/email, which has tremendous potential. Moreover, incorporating several stakeholders in the design and development stages might enhance user experience, considering the distinct variations in their requirements. To improve the efficacy and availability of digital applications, we have several proposals. First, comprehensive care for patients should be ensured by integrating multiple behavioral therapies that encompass various aspects of the rehabilitation process, such as rehabilitation exercises and status monitoring. Second, therapists could benefit from more precise recommendations by incorporating additional intelligent algorithms to analyze patient data. Third, the implementation scope should be expanded from the home environment to a broader social community rehabilitation setting.

Efficacy of the Flo App in Improving Health Literacy, Menstrual and General Health, and Well-Being in Women: Pilot Randomized Controlled Trial.

BACKGROUND: Reproductive health literacy and menstrual health awareness play a crucial role in ensuring the health and well-being of women and people who menstruate. Further, awareness of one's own menstrual cycle patterns and associated symptoms can help individuals identify and manage conditions of the menstrual cycle such as premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD). Digital health products, and specifically menstrual health apps, have the potential to effect positive change due to their scalability and ease of access. OBJECTIVE: The primary aim of this study was to measure the efficacy of a menstrual and reproductive health app, Flo, in improving health literacy and health and well-being outcomes in menstruating individuals with and without PMS and PMDD. Further, we explored the possibility that the use of the Flo app could positively influence feelings around reproductive health management and communication about health, menstrual cycle stigma, unplanned pregnancies, quality of life, work productivity, absenteeism, and body image. METHODS: We conducted 2 pilot, 3-month, unblinded, 2-armed, remote randomized controlled trials on the effects of using the Flo app in a sample of US-based (1) individuals who track their cycles (n=321) or (2) individuals who track their cycles and are affected by PMS or PMDD (n=117). RESULTS: The findings revealed significant improvements at the end of the study period compared to baseline for our primary outcomes of health literacy (cycle tracking: D̄=1.11; t311=5.73, P<.001; PMS or PMDD: D̄=1.20; t115=3.76, P<.001) and menstrual health awareness (D̄=3.97; t311=7.71, P<.001), health and well-being (D̄=3.44; t311=5.94, P<.001), and PMS or PMDD symptoms burden (D̄=-7.08; t115=-5.44, P<.001). Improvements were also observed for our secondary outcomes of feelings of control and management over health (D̄=1.01; t311=5.08, P<.001), communication about health (D̄=0.93; t311=2.41, P=.002), menstrual cycle stigma (D̄=-0.61; t311=-2.73, P=.007), and fear of unplanned pregnancies (D̄=-0.22; t311=-2.11, P=.04) for those who track their cycles, as well as absenteeism from work and education due to PMS or PMDD (D̄=-1.67; t144=-2.49, P=.01). CONCLUSIONS: These pilot randomized controlled trials demonstrate that the use of the Flo app improves menstrual health literacy and awareness, general health and well-being, and PMS or PMDD symptom burden. Considering the widespread use and affordability of the Flo app, these findings show promise for filling important gaps in current health care provisioning such as improving menstrual knowledge and health. TRIAL REGISTRATION: OSF Registries osf.io/pcgw7; https://osf.io/pcgw7 ; OSF Registries osf.io/ry8vq; https://osf.io/ry8vq.

Comparing preferences for skin cancer screening: AI-enabled app vs dermatologist.

BACKGROUND AND AIM: Skin cancer is a major public health issue. While self-examinations and professional screenings are recommended, they are rarely performed. Mobile health (mHealth) apps utilising artificial intelligence (AI) for skin cancer screening offer a potential solution to aid self-examinations; however, their uptake is low. Therefore, the aim of this research was to examine provider and user characteristics influencing people's decisions to seek skin cancer screening performed by a mHealth app or a dermatologist. METHODS: Two forced-choice conjoint experiments with Nmain = 1591 and Nreplication = 308 participants from the United States were conducted online to investigate preferences for screening providers. In addition to the provider type (mHealth app vs dermatologist), the following provider attributes were manipulated: costs, expertise, privacy policy, and result details. Subsequently, a questionnaire assessed various user characteristics, including demographics, attitudes toward AI technology and medical mistrust. RESULTS: Outcomes were consistent across the two studies. The provider type was the most influential factor, with the dermatologist being selected more often than the mHealth app. Cost, expertise, and privacy policy also significantly impacted decisions. Demographic subgroup analyses showed rather consistent preference trends across various age, gender, and ethnicity groups. Individuals with greater medical mistrust were more inclined to choose the mHealth app. Trust, accuracy, and quality ratings were higher for the dermatologist, whether selected or not. CONCLUSION: Our results offer valuable insights for technology developers, healthcare providers, and policymakers, contributing to unlocking the potential of skin cancer screening apps in bridging healthcare gaps in underserved communities.

An mHealth Intervention Promoting Physical Activity and Healthy Eating in a Family Setting (SMARTFAMILY): Randomized Controlled Trial.

BACKGROUND: Numerous smartphone apps are targeting physical activity (PA) and healthy eating (HE), but empirical evidence on their effectiveness for the initialization and maintenance of behavior change, especially in children and adolescents, is still limited. Social settings influence individual behavior; therefore, core settings such as the family need to be considered when designing mobile health (mHealth) apps. OBJECTIVE: The purpose of this study was to evaluate the effectiveness of a theory- and evidence-based mHealth intervention (called SMARTFAMILY [SF]) targeting PA and HE in a collective family-based setting. METHODS: A smartphone app based on behavior change theories and techniques was developed, implemented, and evaluated with a cluster randomized controlled trial in a collective family setting. Baseline (t0) and postintervention (t1) measurements included PA (self-reported and accelerometry) and HE measurements (self-reported fruit and vegetable intake) as primary outcomes. Secondary outcomes (self-reported) were intrinsic motivation, behavior-specific self-efficacy, and the family health climate. Between t0 and t1, families of the intervention group (IG) used the SF app individually and collaboratively for 3 consecutive weeks, whereas families in the control group (CG) received no treatment. Four weeks following t1, a follow-up assessment (t2) was completed by participants, consisting of all questionnaire items to assess the stability of the intervention effects. Multilevel analyses were implemented in R (R Foundation for Statistical Computing) to acknowledge the hierarchical structure of persons (level 1) clustered in families (level 2). RESULTS: Overall, 48 families (CG: n=22, 46%, with 68 participants and IG: n=26, 54%, with 88 participants) were recruited for the study. Two families (CG: n=1, 2%, with 4 participants and IG: n=1, 2%, with 4 participants) chose to drop out of the study owing to personal reasons before t0. Overall, no evidence for meaningful and statistically significant increases in PA and HE levels of the intervention were observed in our physically active study participants (all P>.30). CONCLUSIONS: Despite incorporating behavior change techniques rooted in family life and psychological theories, the SF intervention did not yield significant increases in PA and HE levels among the participants. The results of the study were mainly limited by the physically active participants and the large age range of children and adolescents. Enhancing intervention effectiveness may involve incorporating health literacy, just-in-time adaptive interventions, and more advanced features in future app development. Further research is needed to better understand intervention engagement and tailor mHealth interventions to individuals for enhanced effectiveness in primary prevention efforts. TRIAL REGISTRATION: German Clinical Trials Register DRKS00010415; https://drks.de/search/en/trial/DRKS00010415. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/20534.

Effectiveness of an Interactive mHealth App (EVITE) in Improving Lifestyle After a Coronary Event: Randomized Controlled Trial.

BACKGROUND: Coronary heart disease is one of the leading causes of mortality worldwide. Secondary prevention is essential, as it reduces the risk of further coronary events. Mobile health (mHealth) technology could become a useful tool to improve lifestyles. OBJECTIVE: This study aimed to evaluate the effect of an mHealth intervention on people with coronary heart disease who received percutaneous coronary intervention. Improvements in lifestyle regarding diet, physical activity, and smoking; level of knowledge of a healthy lifestyle and the control of cardiovascular risk factors (CVRFs); and therapeutic adherence and quality of life were analyzed. METHODS: This was a randomized controlled trial with a parallel group design assigned 1:1 to either an intervention involving a smartphone app (mHealth group) or to standard health care (control group). The app was used for setting aims, the self-monitoring of lifestyle and CVRFs using measurements and records, educating people with access to information on their screens about healthy lifestyles and adhering to treatment, and giving motivation through feedback about achievements and aspects to improve. Both groups were assessed after 9 months. The primary outcome variables were adherence to the Mediterranean diet, frequency of food consumed, patient-reported physical activity, smoking, knowledge of healthy lifestyles and the control of CVRFs, adherence to treatment, quality of life, well-being, and satisfaction. RESULTS: The study analyzed 128 patients, 67 in the mHealth group and 61 in the control group; most were male (92/128, 71.9%), with a mean age of 59.49 (SD 8.97) years. Significant improvements were observed in the mHealth group compared with the control group regarding adherence to the Mediterranean diet (mean 11.83, SD 1.74 points vs mean 10.14, SD 2.02 points; P<.001), frequency of food consumption, patient-reported physical activity (mean 619.14, SD 318.21 min/week vs mean 471.70, SD 261.43 min/week; P=.007), giving up smoking (25/67, 75% vs 11/61, 42%; P=.01), level of knowledge of healthy lifestyles and the control of CVRFs (mean 118.70, SD 2.65 points vs mean 111.25, SD 9.05 points; P<.001), and the physical component of the quality of life 12-item Short Form survey (SF-12; mean 45.80, SD 10.79 points vs mean 41.40, SD 10.78 points; P=.02). Overall satisfaction was higher in the mHealth group (mean 48.22, SD 3.89 vs mean 46.00, SD 4.82 points; P=.002) and app satisfaction and usability were high (mean 44.38, SD 6.18 out of 50 points and mean 95.22, SD 7.37 out of 100). CONCLUSIONS: The EVITE app was effective in improving the lifestyle of patients in terms of adherence to the Mediterranean diet, frequency of healthy food consumption, physical activity, giving up smoking, knowledge of healthy lifestyles and controlling CVRFs, quality of life, and overall satisfaction. The app satisfaction and usability were excellent. TRIAL REGISTRATION: Clinicaltrials.gov NCT04118504; https://clinicaltrials.gov/study/NCT04118504.

Effectiveness of mHealth App-Based Interventions for Increasing Physical Activity and Improving Physical Fitness in Children and Adolescents: Systematic Review and Meta-Analysis.

BACKGROUND: The COVID-19 pandemic has significantly reduced physical activity (PA) levels and increased sedentary behavior (SB), which can lead to worsening physical fitness (PF). Children and adolescents may benefit from mobile health (mHealth) apps to increase PA and improve PF. However, the effectiveness of mHealth app-based interventions and potential moderators in this population are not yet fully understood. OBJECTIVE: This study aims to review and analyze the effectiveness of mHealth app-based interventions in promoting PA and improving PF and identify potential moderators of the efficacy of mHealth app-based interventions in children and adolescents. METHODS: We searched for randomized controlled trials (RCTs) published in the PubMed, Web of Science, EBSCO, and Cochrane Library databases until December 25, 2023, to conduct this meta-analysis. We included articles with intervention groups that investigated the effects of mHealth-based apps on PA and PF among children and adolescents. Due to high heterogeneity, a meta-analysis was conducted using a random effects model. The Cochrane Risk of Bias Assessment Tool was used to evaluate the risk of bias. Subgroup analysis and meta-regression analyses were performed to identify potential influences impacting effect sizes. RESULTS: We included 28 RCTs with a total of 5643 participants. In general, the risk of bias of included studies was low. Our findings showed that mHealth app-based interventions significantly increased total PA (TPA; standardized mean difference [SMD] 0.29, 95% CI 0.13-0.45; P<.001), reduced SB (SMD -0.97, 95% CI -1.67 to -0.28; P=.006) and BMI (weighted mean difference -0.31 kg/m2, 95% CI -0.60 to -0.01 kg/m2; P=.12), and improved muscle strength (SMD 1.97, 95% CI 0.09-3.86; P=.04) and agility (SMD -0.35, 95% CI -0.61 to -0.10; P=.006). However, mHealth app-based interventions insignificantly affected moderate to vigorous PA (MVPA; SMD 0.11, 95% CI -0.04 to 0.25; P<.001), waist circumference (weighted mean difference 0.38 cm, 95% CI -1.28 to 2.04 cm; P=.65), muscular power (SMD 0.01, 95% CI -0.08 to 0.10; P=.81), cardiorespiratory fitness (SMD -0.20, 95% CI -0.45 to 0.05; P=.11), muscular endurance (SMD 0.47, 95% CI -0.08 to 1.02; P=.10), and flexibility (SMD 0.09, 95% CI -0.23 to 0.41; P=.58). Subgroup analyses and meta-regression showed that intervention duration was associated with TPA and MVPA, and age and types of intervention was associated with BMI. CONCLUSIONS: Our meta-analysis suggests that mHealth app-based interventions may yield small-to-large beneficial effects on TPA, SB, BMI, agility, and muscle strength in children and adolescents. Furthermore, age and intervention duration may correlate with the higher effectiveness of mHealth app-based interventions. However, due to the limited number and quality of included studies, the aforementioned conclusions require validation through additional high-quality research. TRIAL REGISTRATION: PROSPERO CRD42023426532; https://tinyurl.com/25jm4kmf.

¿Cómo usan el teléfono móvil los niños de Castilla y León? / How do children in Castilla y León use their mobile phones?

Introducción: los teléfonos móviles suponen una gran herramienta de comunicación entre iguales, pero un uso inapropiado puede repercutir en las relaciones familiares, sociales y en el rendimiento escolar. Objetivos: el objetivo principal del trabajo fue estudiar el uso del teléfono móvil en la población pediátrica de varias áreas de salud de Castilla y León. Material y métodos: estudio multicéntrico prospectivo en varios centros de salud y un hospital comarcal. Se pasó una encuesta a padres de niños que acudían a consulta y a los adolescentes que lo desearon, quienes también respondieron a un test de dependencia (TDM). Resultados: el móvil es el dispositivo electrónico que más usaban los niños para navegar por Internet. La media de edad en la que tuvieron el primer móvil propio fue de 10,35 años; la mayoría, con acceso a Internet. El 68% de ellos accedía sin ningún control parental. El 70% de padres establecieron unas normas al proporcionárselo. Un tercio reconocían que estas no se cumplían. El número de horas diarias de uso aumentaba según la edad de los niños. De los adolescentes, más del 50% lo usaba más de dos horas al día. Los más pequeños lo utilizaban para ver vídeos y los mayores para chatear y redes sociales. El uso del móvil se relacionaba con el uso de gafas, pero no con el rendimiento académico, problemas de sueño ni práctica de deporte. En el TDM se observaron muchas respuestas positivas en los ítems de los cuatro apartados en los que se divide el test, especialmente en el de falta de control. Conclusiones: la media de edad de adquisición del primer teléfono móvil propio es menor de la recomendada. Su abuso puede generar conductas con rasgos de adicción (AU)

Introduction: mobile phones are a great communication tool between equals, but inappropriate use can affect family and social relationships and school performance.Objectives: the main objective of this work was to study the use of mobile phones in the pediatric population of several health areas in Castilla y León.Material and methods: prospective multicenter study in several health centers and a regional hospital.A survey was passed to parents of children who attended the consultation, and to adolescents who wished to, who also responded to a dependency test (TDM).Results: the mobile is the electronic device that children used the most to surf the Internet. The average age at which they had their first mobile phone was 10.35 years, most of them with Internet access.68% of them accessed without any parental control. 70% of parents established rules of operating. A third recognized that these rules were not fulfilled.The number of hours per day of use increased with the age of the children. More than 50% of the adolescents used it for more than two hours a day. The little ones used it to watch videos and the older ones to chat and social networks.The use of the mobile phone was related to the use of glasses, but not with academic performance, sleep problems or sports practice.In the TDM many positive responses were observed in the items of the four sections into which the test is divided, especially in the lack of control.Conclusions: the average age for acquiring their first mobile phone is lower than the recommended age. Its abuse can generate behaviors with traits of addiction. (AU)

Effect of Smartphone App Postoperative Home Monitoring After Oncologic Surgery on Quality of Recovery: A Randomized Clinical Trial.

Importance: There has been an increase in health care-focused smartphone apps, including those for encouraging healthy behaviors and managing chronic conditions, but app-assisted postsurgical care has yet to be fully explored. Objective: To compare quality of recovery and patient satisfaction between conventional in-person follow-up and smartphone app-assisted follow-up for patients following Enhanced Recovery After Surgery Society (ERAS) protocols. Design, Setting, and Participants: This randomized clinical trial, conducted from June 2019 to April 2021, included women older than 18 years undergoing oncologic breast reconstruction or major gynecologic oncology surgery following ERAS protocols with the care of 2 surgeons at an academic tertiary care center. Interventions: Patients were randomized 1:1 to receive smartphone app-assisted follow-up or conventional in-person follow-up. The smartphone group used a surgeon-monitored app to record Quality of Recovery 15 (QoR15) scores, European Organisation for Research and Treatment of Cancer-selected adverse events, drain outputs, and surgical site photographs over 6 weeks. Patient satisfaction scores were assessed using validated Patient Satisfaction Questionnaire III (PSQ-III) subscales at 2 and 6 weeks postoperatively. The conventional follow-up group also completed the QoR15 and PSQ-III questionnaires at these intervals. Main Outcomes and Measures: The primary outcomes were quality of recovery and patient satisfaction, as measured by the QoR15 and PSQ-III, respectively. Secondary outcomes were costs of follow-up; the number of contacts with the medical system, complications, and surgeons' contacts with patients; and surgeons' perceptions of app-assisted care. Results: Of 72 patients included in the trial, 36 underwent breast reconstruction (mean [SD] age, 45.30 [9.13] years) and 36 underwent gynecologic oncology surgery (mean [SD] age, 54.90 [11.18] years). Three patients dropped out (2 who underwent breast reconstruction [1 in the app group, 1 in the control group], 1 who underwent gynecologic oncology surgery [control group]). The app group had significantly higher mean (SD) QoR15 scores than the control group (2 weeks: 127.58 [22.03] vs 117.68 [17.52], P = .02; 6 weeks: 136.64 [17.53] vs 129.76 [16.42], P = .03). Patients were equally satisfied between groups in all subsets of the PSQ-III at these intervals. The mean (SD) number of complications was similar in both groups, and a similar number of surgeon contacts per patient occurred (1.6 [1.2] vs 2.1 [2.0], P = .16). Surgeons appreciated early identification of complications with the app. Conclusions and Relevance: In this randomized clinical trial, postoperative follow-up for patients undergoing breast reconstruction and gynecologic oncology surgery using smartphone app-assisted monitoring led to improved quality of recovery and equal satisfaction with care compared with conventional in-person follow-up. Trial Registration: ClinicalTrials.gov Identifier: NCT03456167.

Why patients diagnosed with bipolar disorder start, continue or discontinue health-related apps supporting their self-management.

WHAT IS KNOWN ABOUT THE SUBJECT?: Self-management is essential in the treatment of those who have bipolar disorder. There are many apps to support self-management, but we know that these apps only sometimes cover the users' needs. WHAT IS ADDED TO EXISTING KNOWLEDGE?: In our research, we made an inventory of apps that people with bipolar disorder use to cover their needs in self-management. We also have searched for the reasons to start, continue, switch or quit the use of those apps. We found that 44% (n = 18) of our respondents use health-related apps for self-management purposes. Apps for physical activity, planning and structure and apps for relaxation were most used. In the use of apps, the "freedom of choice" and user-friendliness are the most important in continuing the use of apps, while malfunctioning and "not fitting in individual needs" the main reasons were for quitting the use of apps. IMPLICATIONS FOR PRACTICE: Various apps can be used for self-management purposes as long as these apps meet the individual user's requirements. Clinicians and patients should have a broad view when looking for suitable apps and not limit the search to just professional apps. In developing new apps, patients, clinicians and developers should collaborate in the development process, requirements and design. ABSTRACT: INTRODUCTION: Self-management is one of the cornerstones in the treatment of bipolar disorder (BD). Complementing interventions by apps are seen as a good opportunity to support self-management. However, there is insufficient knowledge about understanding the use of health-related applications by consumers with BD for self-management purposes. AIM: The study aims to gain insight from patients diagnosed with BD about reasons to use, continue or discontinue health-related apps. METHOD: This study employed a mixed-method design in which 41 participants diagnosed with BD participated in a quantitative survey, and 11 participants also participated in an in-depth interview. RESULTS: The survey showed that 44% (n = 18) of the participants use health-related apps, and 26.8% (n = 11) use those apps consistently. Interviews revealed that adjustability, usability, trustworthiness and the guarantee of privacy were the main reasons determining whether participants used or terminated the use of a health-related app. IMPLICATIONS FOR PRACTICE: Although we found that a substantial number of patients diagnosed with BD use one or more apps to support self-management, their use is often discontinued due to content that needs more robust to address their needs. Besides appropriate content, tailoring and persuasive technologies will likely promote the continued use of an app for self-management purposes. Cooperation between those diagnosed with bipolar disorder and health professionals (like mental health nurses) in developing and designing applications that are aimed to support self-management in BD is necessary for successful implementation and adaptation.

Mobile Health Interventions for Improving Health Outcomes in Childhood: A Scoping Review Protocol / Intervenções de saúde móvel para melhorar os resultados de saúde na infância: um protocolo de revisão de escopo

Introdução: O uso de dispositivos móveis para atendimento à saúde tem sido cada vez mais frequente nos últimos anos. Estudos mostram o imenso potencial dessa tecnologia como instrumento para o desenvolvimento de habilidades pessoais e sociais, no sentido de adquirir maior controle e poder de decisão sobre o cuidado à saúde. Objetivo: Mapear as intervenções móveis de saúde para melhorar os resultados de saúde na infância Metodologia: A revisão considerará estudos que incluem o uso de dispositivos móveis de saúde por profissionais de saúde ou familiares para cuidar da saúde da criança. Esta revisão de escopo incluirá desenhos de estudos observacionais experimentais, quase experimentais e descritivos com abordagem quantitativa ou qualitativa. Dissertações serão consideradas, mas resumos de conferências, pôsteres, editoriais, comentários e artigos de opinião serão excluídos. A pesquisa será limitada a estudos publicados em inglês, espanhol e português, a partir de 2010. As bases de dados a serem pesquisadas incluem PubMed (MEDLINE), CINAHL (via EBSCO), Embase, PsycINFO (via EBSCO), Scielo, Web of Science, LILACS, Health System Evidence e bancos de dados de literatura cinzenta, como o banco de dados ProQuest Dissertations and Theses Global, OpenGrey, EThOS e PaperFirst. Após a triagem dos resumos/títulos para inclusão por dois pesquisadores independentes, os estudos em texto completo serão selecionados os dados serão extraídos dos artigos incluídos, utilizando o instrumento de extração de dados. Resultados: Serão apresentados em forma de tabelas e quadros, de acordo com o PRISMA-ScR. Conclusões: Este estudo fornecerá evidências sobre o desenvolvimento e implementação de ferramentas online de promoção da saúde infantil.

Introduction: The use of mobile devices for health care has been increasingly frequent in recent years. Studies show the immense potential of this technology as an instrument to favor the development of personal and social skills, in the sense of acquiring greater control and decision-making power over health care. Aim: The objective of this scoping review is to map the mobile health interventions for improving health outcomes in childhood. Method: This protocol was carried out in according to Joanna Briggs Institute methodology and Preferred checklist Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR), according to the following steps: review question; eligibility criteria (PCC); literature search strategy; study selection; data extraction and data presentation. The review question is: How are mHealth interventions being applied to improve childhood health outcomes (disease prevention, monitoring or diagnosis)? The review will include experimental, quasi-experimental and descriptive observational study designs with quantitative or qualitative approach. Dissertations will be considered, but conference abstracts, posters, editorials, commentaries, and opinion papers will be excluded. The search will be limited to studies published in English, Spanish and Portuguese in the last 10 years. The databases to be searched include PubMed, CINAHL, Embase, Scielo, Web of Science, LILACS, Health System Evidence, and gray literature databases. Results: The result of the selection flow will be presented in the form of tables and figure, according to PRISMA-ScR. Conclusion: This study will provide evidence on the development and implementation of online tools to promote children's health.

Introducción: El uso de dispositivos móviles para el cuidado de la salud ha sido cada vez más frecuente en los últimos años. Los estudios muestran el inmenso potencial de esta tecnología como instrumento para favorecer el desarrollo de habilidades personales y sociales, en el sentido de adquirir un mayor control y poder de decisión sobre la atención de la salud. Objetivo: El objetivo de esta revisión de alcance es mapear las intervenciones de salud móvil para mejorar los resultados de salud en la infancia. Método: La revisión considerará estudios que incluyan el uso de la salud móvil por parte de profesionales de la salud o miembros de la familia para cuidar la salud infantil. Esta revisión de alcance incluirá diseños de estudios observacionales experimentales, cuasiexperimentales y descriptivos con un enfoque cuantitativo o cualitativo. Se considerarán disertaciones, pero se excluirán los resúmenes de congresos, carteles, editoriales, comentarios y artículos de opinión. La búsqueda se limitará a los estudios publicados en inglés, español y portugués después de 2010. Las bases de datos que se buscarán incluyen PubMed (MEDLINE), CINAHL (a través de EBSCO), Embase, PsycINFO (a través de EBSCO), Scielo, Web of Science, LILACS, Health System Evidence y bases de datos de literatura gris como la base de datos ProQuest Dissertations and Theses Global, OpenGrey, EThOS y PaperFirst. Después de la selección de resúmenes / títulos para su inclusión por dos investigadores independientes, se seleccionarán los estudios de texto completo y se proporcionarán las razones de la exclusión. Los datos serán extraídos de los artículos incluidos en la revisión por dos investigadores independientes, utilizando el instrumento de extracción de datos. Resultados: Se presentarán en forma de tablas según PRISMA-ScR. Conclusiones: Este estudio proporcionará evidencia sobre el desarrollo e implementación de herramientas en línea para promover la salud infantil.

Measuring emotional preoperative stress by an app approach and its applicability to predict postoperative pain.

BACKGROUND: The Brief Measure of Emotional Preoperative Stress (B-MEPS) was developed to evaluate the preoperative individual vulnerability to emotional stress. To obtain a refined version of B-MEPS suitable for an app approach, this study aimed: (i) to identify items with more discriminant properties; (ii) to classify the level of preoperative emotional stress based on cut-off points; (iii) to assess concurrent validity through correlation with the Central Sensitization Inventory (CSI) score; (iv) to confirm whether the refined version of B-MEPS is an adequate predictive measure for identification of patients prone to intense postoperative pain. METHODS: We include 1016 patients who had undergone surgical procedures in a teaching hospital. The generalized partial credit model of item response theory and latent class model were employed, respectively, to reduce the number of items and to create cut-off points. We applied the CSI and assessed pain by Visual Analog Scale (0-10) and by the amount of postoperative morphine consumption. RESULTS: The refined B-MEPS shows satisfactory reliability (Cronbach's alpha 0.79). Preoperative emotional stress, according to the cut-off points, is classified into categories: low, intermediate or high stress. The refined B-MEPS exhibited a linear association with the CSI scores (r2 = 0.53, p < 0.01). Patients with higher levels of emotional stress displayed a positive association with moderate to severe pain and greater morphine consumption. CONCLUSION: The refined version of B-MEPS, along with an interface of easy applicability, assess emotional vulnerability at the bedside before surgery. This app may support studies focused on intervening with perioperative stress levels.

Joint analysis of the intention to vaccinate and to use contact tracing app during the COVID-19 pandemic.

Pharmacological and non-pharmacological measures will overlap for a period after the onset of the pandemic, playing a strong role in virus containment. We explored which factors influence the likelihood to adopt two different preventive measures against the COVID-19 pandemic. An online snowball sampling (May-June 2020) collected a total of 448 questionnaires in Italy. A Bayesian bivariate Gaussian regression model jointly investigated the willingness to get vaccinated against COVID-19 and to download the national contact tracing app. A mixed-effects cumulative logistic model explored which factors affected the motivation to adopt one of the two preventive measures. Despite both COVID-19 vaccines and tracing apps being indispensable tools to contain the spread of SARS-CoV-2, our results suggest that adherence to the vaccine or to the national contact tracing app is not predicted by the same factors. Therefore, public communication on these measures needs to take in consideration not only the perceived risk associated with COVID-19, but also the trust people place in politics and science, their concerns and doubts about vaccinations, and their employment status. Further, the results suggest that the motivation to comply with these measurements was predominantly to protect others rather than self-protection.

Criação de um aplicativo móvel e questionários WEB como estratégia de ensino e avaliação em Odontologia / Creating a mobile APP and WEB questionnaires as teaching and assessment strategies in Dentistry

O presente estudo relata a experiência da criação do aplicativo móvel (APP) RUBOND e o uso de questionários WEB como estratégia de ensinoe avaliação em Odontologia. A criação do aplicativo móvel ocorreu por meio da plataforma Fábrica de Aplicativos, sendo definido a temática dos Sistemas Adesivos Universais como tema central. A elaboração dos questionários para avaliação dos conhecimentos adquiridos por meio do material disponibilizado no APP se deu por meio da plataforma Online Pesquisa. As questões utilizadas foram retiradas de provas do Exame Nacional de Desempenho dos Eestudantes. O acesso aos questionários aconteceuvia linkdisponível no aplicativo móvel.A criação do aplicativo móvel RUBOND e questionários WEB como estratégia de ensino e avaliação em Odontologia podem ser uma ferramenta viável na prática docente e discente, desde que corretamente utilizados. Sugere-se que mais estudos sejam realizados para confirmar as vantagens dos aplicativos móveis e questionários WEB no ensino e avaliação em Odontologia (AU).

The present study reports the experience of creating the RUBOND mobile application (APP) and the use of WEB questionnaires asteaching and assessmentstrategiesin Dentistry. The creation of the mobile application took place through theFábrica de Aplicativos platform, with the theme of Universal Adhesive Systems being defined as a central subject. The preparation of questionnaires to assess the knowledge acquired through the material available in the APP occurredin the Online Pesquisa platform. The questions used were taken fromtests of the National Student Performance Exam(ENADE). The questionnaires wereaccessed via a direct link attached to the mobile APP. The creation of the RUBOND mobile application and WEB questionnaires as a teachingand assessment strategy in Dentistry can be a viable tool in student and teaching practice, as long as they are correctlyused. Further studies are needed to confirm the benefits of mobile APPand WEB questionnaires in teaching and assessment in Dentistry (AU).

Risk factors and disease profile of post-vaccination SARS-CoV-2 infection in UK users of the COVID Symptom Study app: a prospective, community-based, nested, case-control study.

BACKGROUND: COVID-19 vaccines show excellent efficacy in clinical trials and effectiveness in real-world data, but some people still become infected with SARS-CoV-2 after vaccination. This study aimed to identify risk factors for post-vaccination SARS-CoV-2 infection and describe the characteristics of post-vaccination illness. METHODS: This prospective, community-based, nested, case-control study used self-reported data (eg, on demographics, geographical location, health risk factors, and COVID-19 test results, symptoms, and vaccinations) from UK-based, adult (≥18 years) users of the COVID Symptom Study mobile phone app. For the risk factor analysis, cases had received a first or second dose of a COVID-19 vaccine between Dec 8, 2020, and July 4, 2021; had either a positive COVID-19 test at least 14 days after their first vaccination (but before their second; cases 1) or a positive test at least 7 days after their second vaccination (cases 2); and had no positive test before vaccination. Two control groups were selected (who also had not tested positive for SARS-CoV-2 before vaccination): users reporting a negative test at least 14 days after their first vaccination but before their second (controls 1) and users reporting a negative test at least 7 days after their second vaccination (controls 2). Controls 1 and controls 2 were matched (1:1) with cases 1 and cases 2, respectively, by the date of the post-vaccination test, health-care worker status, and sex. In the disease profile analysis, we sub-selected participants from cases 1 and cases 2 who had used the app for at least 14 consecutive days after testing positive for SARS-CoV-2 (cases 3 and cases 4, respectively). Controls 3 and controls 4 were unvaccinated participants reporting a positive SARS-CoV-2 test who had used the app for at least 14 consecutive days after the test, and were matched (1:1) with cases 3 and 4, respectively, by the date of the positive test, health-care worker status, sex, body-mass index (BMI), and age. We used univariate logistic regression models (adjusted for age, BMI, and sex) to analyse the associations between risk factors and post-vaccination infection, and the associations of individual symptoms, overall disease duration, and disease severity with vaccination status. FINDINGS: Between Dec 8, 2020, and July 4, 2021, 1 240 009 COVID Symptom Study app users reported a first vaccine dose, of whom 6030 (0·5%) subsequently tested positive for SARS-CoV-2 (cases 1), and 971 504 reported a second dose, of whom 2370 (0·2%) subsequently tested positive for SARS-CoV-2 (cases 2). In the risk factor analysis, frailty was associated with post-vaccination infection in older adults (≥60 years) after their first vaccine dose (odds ratio [OR] 1·93, 95% CI 1·50-2·48; p<0·0001), and individuals living in highly deprived areas had increased odds of post-vaccination infection following their first vaccine dose (OR 1·11, 95% CI 1·01-1·23; p=0·039). Individuals without obesity (BMI <30 kg/m2) had lower odds of infection following their first vaccine dose (OR 0·84, 95% CI 0·75-0·94; p=0·0030). For the disease profile analysis, 3825 users from cases 1 were included in cases 3 and 906 users from cases 2 were included in cases 4. Vaccination (compared with no vaccination) was associated with reduced odds of hospitalisation or having more than five symptoms in the first week of illness following the first or second dose, and long-duration (≥28 days) symptoms following the second dose. Almost all symptoms were reported less frequently in infected vaccinated individuals than in infected unvaccinated individuals, and vaccinated participants were more likely to be completely asymptomatic, especially if they were 60 years or older. INTERPRETATION: To minimise SARS-CoV-2 infection, at-risk populations must be targeted in efforts to boost vaccine effectiveness and infection control measures. Our findings might support caution around relaxing physical distancing and other personal protective measures in the post-vaccination era, particularly around frail older adults and individuals living in more deprived areas, even if these individuals are vaccinated, and might have implications for strategies such as booster vaccinations. FUNDING: ZOE, the UK Government Department of Health and Social Care, the Wellcome Trust, the UK Engineering and Physical Sciences Research Council, UK Research and Innovation London Medical Imaging and Artificial Intelligence Centre for Value Based Healthcare, the UK National Institute for Health Research, the UK Medical Research Council, the British Heart Foundation, and the Alzheimer's Society.

O uso de aplicativo de celular para medir frequência cardíaca e saturação periférica de oxigênio / The use of cellular application to measure heart rate and peripheral oxygen saturation

Avaliar a associação da medida de frequência cardíaca (FC) e saturação periférica de oxigênio (SpO2 ) utilizando um aplicativo de celular e um monitor multiparamétrico. Métodos: Estudo experimental e randomizado entre participantes saudáveis. Investigou o aplicativo Samsung Health® e o monitor multiparamétrico da marca Midway®, modelo: PM-60. O estudo foi estruturado em quatro etapas. Para análise estatística, aplicou correlação de Pearson e Spearman, com nível de significância de 5%. Resultados: Dos 150 participantes a idade média foi de 22,3±4,5 anos, o sexo feminino foi predominante (71,3%). Verificouse forte correlação da FC medida pelo monitor com a FC do aplicativo de celular (r=0,93) indicando correlação positiva (p<0,001). A SpO2 medida por monitor multiparamétrico e pelo aplicativo de celular revelou um r=0,05 (p=0,51), o que atesta uma correlação nula e não significativa. Conclusão: Não houve correlação entre a medida da SpO2 do monitor multiparamétrico e do aplicativo Samsung Health®, não sendo confiável a utilização deste aplicativo para monitorar e gerenciar o sinal vital SpO2 em pessoas saudáveis. A FC medida com o aplicativo é significativa, e pode ser utilizada para monitorar e gerenciar esse sinal vital.

Assess the association of the measure of heart rate (HR) and oxygen saturation (SpO2 ) using a mobile application and a multiparameter monitor. Methods: Study experimental and randomized healthy participants. Investigated the application Samsung Health® and multiparameter monitor Midway® make, model: PM-60. The study was divided into four stages. Statistical analysis was applied Pearson and Spearman correlation with 5% significance level. Results: Of the 150 participants average age was 22.3±4.5 years, females were predominant (71.3%). There was a strong correlation HR measured by the monitor application to cell FC (r=0.93) indicating a positive correlation (p<0.001). SpO2 measured by multiparameter monitor and the mobile application revealed r=0.05 (p=0.51), which demonstrates a zero and no significant correlation. Conclusion: There was no correlation between the SpO2 measurement of the multiparameter monitor and the Samsung Health® app, not being trusted to use this application to monitor and manage the vital sign SpO2 in healthy people. The HR measured with the application is significant, and can be used to monitor and manage this vital sign.

Análise de questionários de avaliação de aplicativos na área da saúde: uma revisão sistemática / Evaluation of mobile application questionnaires in the health care setting: a systematic review

Este estudo teve como objetivo identificar modelos de questionários para avaliação de aplicativos móveis na área da saúde. Trata-se de uma Revisão sistemática da literatura, em que a busca foi realizada em julho de 2021, nas bases de dados PubMed, ScienceDirect, Scopus, SciELO e Web of Science. Foram utilizados os descritores: "mobile", "mhealth", "evaluation", "questionnaire", "guide", "assessing", "validation" e "assessment", sendo necessárias adaptações para atender as especificidades das bases. Foram identificados 1.786 estudos e após aplicar os critérios de seleção, 37 publicações alcançaram o nível de qualidade para inclusão e síntese. Os artigos revisados apresentam perguntas significativas para os usuários, sobre os aplicativos avaliados. Este estudo é recomendado para auxiliar nos estudos de pesquisa visando o aumento da qualidade dos aplicativos móveis na saúde.

The objective of this study was to identify questionnaire models for the evaluation of mobile health applications. We conducted a systematic literature review in July 2021 in PubMed, ScienceDirect, Scopus, SciELO, and Web of Science databases using the following descriptors: "mobile," "mhealth," "evaluation," "questionnaire," "guide," "evaluating," "validation," and "evaluation." Adaptations were required to meet database specificities. Of 1,786 studies initially identified, only 37 met the quality criteria for inclusion and synthesis. All studies analyzed in this review asked relevant app-related questions to users. This study is intended to assist scientific research in the development of quality mobile health applications.