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.

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.

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.

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.

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.

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.

The relationship between objective app engagement and medication adherence in asthma and COPD: a retrospective analysis.

Digital health tools can promote disease self-management, but the association of smartphone app engagement and medication adherence is unclear. We assessed the relationship between objective smartphone app engagement and controller medication use in adults with asthma and COPD. We retrospectively analyzed data from participants enrolled in a digital self-management platform for asthma and COPD. Eligible adults had a smartphone and a paired electronic medication monitor (EMM). Longitudinal, mixed-effects logistic regressions estimated the relationship between daily app engagement (app opens, session duration) and daily controller medication use. Data from 2309 participants (71% asthma; 29% COPD) was analyzed. Opening the app (vs. not opening the app) was associated with significantly greater odds (OR (95% CI)) of using controller medications in asthma (2.08 (1.98, 2.19)) and COPD (1.61 (1.49, 1.75). Longer session duration was also associated with greater odds of using controller medications in asthma and COPD, but the odds of use attenuated with longer session duration in COPD. This study presents a novel assessment of the relationship between objectively-measured smartphone app engagement and controller medication use in asthma and COPD. Such insights may help develop targeted digital health tools and interventions.

Écart de mobilité : estimation des seuils de mobilité requis pour maîtriser le SRAS-CoV-2 au Canada.

CONTEXTE: Les interventions non pharmacologiques demeurent le principal moyen de maîtriser le coronavirus du syndrome respiratoire aigu sévère 2 (SRAS-CoV-2) d'ici à ce que la couverture vaccinale soit suffisante pour donner lieu à une immunité collective. Nous avons utilisé des données de mobilité anonymisées de téléphones intelligents afin de quantifier le niveau de mobilité requis pour maîtriser le SRAS-CoV-2 (c.-à-d., seuil de mobilité), et la différence par rapport au niveau de mobilité observé (c.-à-d., écart de mobilité). MÉTHODES: Nous avons procédé à une analyse de séries chronologiques sur l'incidence hebdomadaire du SRAS-CoV-2 au Canada entre le 15 mars 2020 et le 6 mars 2021. Le paramètre mesuré était le taux de croissance hebdomadaire, défini comme le rapport entre les cas d'une semaine donnée et ceux de la semaine précédente. Nous avons mesuré les effets du temps moyen passé hors domicile au cours des 3 semaines précédentes à l'aide d'un modèle de régression log-normal, en tenant compte de la province, de la semaine et de la température moyenne. Nous avons calculé le seuil de mobilité et l'écart de mobilité pour le SRAS-CoV-2. RÉSULTATS: Au cours des 51 semaines de l'étude, en tout, 888 751 personnes ont contracté le SRAS-CoV-2. Chaque augmentation de 10 % de l'écart de mobilité a été associée à une augmentation de 25 % du taux de croissance des cas hebdomadaires de SRAS-CoV-2 (rapport 1,25, intervalle de confiance à 95 % 1,20­1,29). Comparativement à la mobilité prépandémique de référence de 100 %, le seuil de mobilité a été plus élevé au cours de l'été (69 %, écart interquartile [EI] 67 %­70 %), et a chuté à 54 % pendant l'hiver 2021 (EI 52 %­55 %); un écart de mobilité a été observé au Canada entre juillet 2020 et la dernière semaine de décembre 2020. INTERPRÉTATION: La mobilité permet de prédire avec fiabilité et constance la croissance des cas hebdomadaires et il faut maintenir des niveaux faibles de mobilité pour maîtriser le SRAS-CoV-2 jusqu'à la fin du printemps 2021. Les données de mobilité anonymisées des téléphones intelligents peuvent servir à guider le relâchement ou le resserrement des mesures de distanciation physique provinciales et régionales.

Assessment of Hypertension Control Among Adults Participating in a Mobile Technology Blood Pressure Self-management Program.

Importance: It is unclear whether mobile technology hypertension self-management programs are associated with blood pressure (BP) control. Objective: To examine whether engagement with a hypertension self-management program with a BP monitor and connected smartphone application with clinically based digital coaching was associated with BP control during a follow-up period of as long as 3 years. Design, Setting, and Participants: This cohort study enrolled US adults with elevated BP or hypertension between January 1, 2015, and July 1, 2020. The hypertension self-management program was provided through the participant's (or their spouse's) employer health plan. Exposures: Program engagement, defined by average number of application sessions. Main Outcomes and Measures: Systolic and diastolic BP measured by a US Food and Drug Administration-cleared BP monitor, with categories defined as normal (systolic BP, <120 mm Hg), elevated (systolic BP, 120-129 mm Hg), stage 1 hypertension (systolic BP, 130-139 mm Hg), and stage 2 hypertension (systolic BP ≥140 mm Hg). Other measures included age, gender, depression, anxiety, diabetes, high cholesterol, smoking, geographic region, area deprivation index, self-reported weight, and device-measured physical activity (steps per day). Results: Among 28 189 participants (median [IQR] age, 51 [43-58] years; 9424 women [40.4%]; 13 902 men [59.6%]), median (IQR) baseline systolic BP was 129.5 mm Hg (120.5-139.6 mm Hg) and diastolic BP was 81.7 mm Hg (75.7-88.4 mm Hg). Median systolic BP at 1 year improved at least 1 category for 495 of 934 participants (53.0%) with baseline elevated BP, 673 of 966 (69.7%) with baseline stage 1 hypertension, and 920 of 1075 (85.7%) with baseline stage 2 hypertension. Participants in the program for 3 years had a mean (SEM) systolic BP reduction of 7.2 (0.4), 12.2 (0.7), and 20.9 (1.7) mm Hg compared with baseline for those starting with elevated, stage 1 hypertension, and stage 2 hypertension, respectively. Greater engagement was associated with lower systolic BP over time (high-engagement group: 131.2 mm Hg; 95% CI, 115.5-155.8 mm Hg; medium-engagement group: 133.4 mm Hg; 95% CI 116.3-159.5 mm Hg; low-engagement group: 135.5 mm Hg; 95% CI, 117.3-164.8 mm Hg; P < .001); these results persisted after adjusting for age, gender, depression, anxiety, diabetes, high cholesterol, smoking, area deprivation index rank, and US region, which was partially mediated by greater physical activity. A very high BP (systolic BP >180 mm Hg) was observed 11 637 times from 3778 participants. Greater engagement was associated with lower risk of very high BP; the estimated probability of a very high BP was greater in the low-engagement group (1.42%; 95% CI, 1.26%-1.59%) compared with the medium-engagement group (0.79%; 95% CI, 0.71%-0.87%; P < .001) and the high-engagement group (0.53%; 95% CI, 0.45%-0.60%; P < .001 for comparison with both groups). Conclusions and Relevance: The findings of this study suggest that a mobile technology hypertension self-management program can support long-term BP control and very high BP detection. Such programs may improve real-world BP monitoring and control.

Sociodemographic characteristics determine download and use of a Corona contact tracing app in Germany-Results of the COSMO surveys.

During the SARS-CoV-2 pandemic mobile health applications indicating risks emerging from close contacts to infected persons have a large potential to interrupt transmission chains by automating contact tracing. Since its dispatch in Germany in June 2020 the Corona Warn App has been downloaded on 25.7 Mio smartphones by February 2021. To understand barriers to download and user fidelity in different sociodemographic groups we analysed data from five consecutive cross-sectional waves of the COVID-19 Snapshot Monitoring survey from June to August 2020. Questions on the Corona Warn App included information on download, use, functionality, usability, and consequences of the app. Of the 4,960 participants (mean age 45.9 years, standard deviation 16.0, 50.4% female), 36.5% had downloaded the Corona Warn App. Adjusted analysis found that those who had downloaded the app were less likely to be female (Adjusted Odds Ratio for men 1.16 95% Confidence Interval [1.02;1.33]), less likely to be younger (Adjusted Odds Ratio for age 18 to 39 0.47 [0.32;0.59] Adjusted Odds Ratio for age 40 to 64 0.57 [0.46;0.69]), less likely to have a lower household income (AOR 0.55 [0.43;0.69]), and more likely to live in one of the Western federal states including Berlin (AOR 2.31 [1.90;2.82]). Willingness to disclose a positive test result and trust in data protection compliance of the Corona Warn App was significantly higher in older adults. Willingness to disclose also increased with higher educational degrees and income. This study supports the hypothesis of a digital divide that separates users and non-users of the Corona Warn App along a well-known health gap of education, income, and region.

Development and usability testing of mobile application on diet and oral health.

In several nations, caries in pre-school children remain a significant oral health issue. In an outbreak period such as the Coronavirus disease 2019 (COVID-19), remote contact and education aimed at the prevention of oral diseases and the preservation of children's oral health are more relevant than ever. Currently, the amount of published applications is far higher than the published scientific studies while the problems of usability remains vulnerable. The goal of this paper was to comprehensively document the phase of development and usability testing of a mobile application for diet and oral health, namely Gigiku Sihat, which was primarily intended to be used by parents and guardians of pre-school children. The mobile application was developed using the System Development Life Cycle principle. Apart from searching for the available oral health application on Android platform, the initial requirement gathering process consisted of situational analysis, concept generation, content development, and features and functional requirement determination. The mobile application design and implementation evolved at each phase before being finalised. Gigiku Sihat was successfully developed in the Bahasa Malaysia. Finalised Gigiku Sihat was installed on mobile devices to determine the usability using translated and validated System Usability Scale questionnaire namely Skala Kebolehgunaan Aplikasi Mudah Alih (SKAMA). The mean score usability with score of 68 and above was deemed to have good usability. This study found that Gigiku Sihat mean (SD) usability score was 77.0 (14.18). The results were promising as they showed that Gigiku Sihat had a good usability. Thus, the development of this mobile application focusing on diet and oral health served as a new source of oral health education and provided a necessary foundation in developing future improved mobile application development for parents in the prevention of early childhood caries.