Mobile applications in oncology: A systematic review of health science databases

Feasibility and Acceptability Evaluation of a Digital Therapeutic Program for Improving Cancer Prevention: A Quasi-experimental Pre-post Interventional Pilot Study

Previous studies have proved that healthy behaviors hinder the onset and progression of tumors. Digital therapeutics (DTx), playing a pivotal role in facilitating behavioral adjustments through educational interventions, lifestyle support, and symptom monitoring, contribute to the goal of tumor prevention. We aim to optimize the evaluation of the feasibility and acceptability of DTx for cancer prevention. This involves assessing AITI's daily activity rates and user feedback, and comparing changes in behavioral habits and differences in SF-36 before and after the intervention. In a 4-week trial with 57 participants engaging actively, we found both the average daily activity rate and 4-week retention rate at 35 (61.4%). The USE Questionnaire scores (validity, ease of use, acquisition, and satisfaction) ranged from 68.06 to 83.10, indicating AITI's user-friendliness and acceptability. Furthermore, positive habit changes were noted among participants in exercise and diet (p < 0.0001), suggesting the effectiveness of the DTx approach in modifying behavioral habits related to physical activity and nutrition. This pilot study underscores the potential of DTx in advancing cancer prevention. However, larger and longer studies are needed to comprehensively assess its impact.

App-based interventions to improve cancer outcomes rely on informational support from professionals: a systematic review

The importance of social support for cancer patients is well-established, and mobile applications hold promise for implementation. This systematic review examines app-based interventions with social support components for cancer patients, investigating the use of different support functions from different sources and the impact on cancer-related symptoms and psychological outcomes. A systematic search across five databases (EMBASE, Scopus, PsycINFO, PubMed, Web of Science) yielded 449 records, of which 17 studies (12 controlled designs) were included. Two independent reviewers extracted data and assessed study quality, revealing a high risk of bias across studies. Social support was implemented through different app functions, including contact/chat functions (n = 9), automatic alerts based on app input (n = 6) and discussion forums (n = 5). Social support predominantly focused on informational support (n = 17), mostly from healthcare professionals. Emotional support was less common (n = 7). Results indicated some promising intervention effects for pain, fatigue, nausea/vomiting, insomnia, constipation and overall symptom distress, but heterogeneous effects for health-related quality of life. Overall, results were mixed, but indicate that mobile apps incorporating social support may hold promise for cancer patients. However, future studies should focus on measuring and reporting social support as an intervention mechanism to systematically investigate its specific impact and improve effectiveness.HighlightsApps for cancer patients predominantly include informational social supportEmotional social support is substantially less frequently includedApps focus on formal support sources like healthcare professionalsFirst results are somewhat promising for improving cancer-related symptoms.

The effect of a mobile application for patients living with gynaecological cancer on their physical and psychosocial adaptation

BACKGROUND

Education of patients with cancer and patient self-management allow better clinical outcomes using e-health or mobile health applications.

AIMS

To develop a mobile application to increase the physical and psychosocial adaptation for patients with gynecological cancer who are receiving chemotherapy and to investigate the effectiveness of the mobile application.

METHODS

This study was planned as a parallel, single-blind, pre-post test randomised controlled experimental study in which two groups (intervention-control) will be compared. A total of 52 gynecological cancer patients were planned to be included in the study.

FINDINGS

This study is in the protocol stage. Therefore, the results of the study have not yet been reported.

CONCLUSIONS

Evidence-based information within JineOnkolojik Destek provides rich data on coping with chemotherapy. In addition, the visual and auditory elements, real patient stories and videos, and the ability to ask questions and receive counselling from the research team can positively affect the physical and psychosocial health of the cancer survivors.

Feasibility study of a mobile application (ACT-ON) to complement acceptance and commitment therapy (ACT) intervention in cancer patients

OBJECTIVE

Psychological and physical distress commonly affect cancer patients. Acceptance and commitment therapy (ACT) has shown promising results when it comes to ameliorating symptoms that may develop as a result of this. Meanwhile, it has come to light that the impact of psychological interventions may be enhanced by the use of mobile applications. However, to date no mobile applications have been developed to support ACT-based interventions in cancer patients. The aim of the present study is to develop and test the usability of a mobile application designed to complement face-to-face ACT-based therapy in a group of cancer patients undergoing treatment.

MATERIALS AND METHODS

A total of thirty-nine patients were recruited to participate in this pilot study. Participants had to be: 18 years of age or over, currently undergoing treatment for breast, lung or colorectal cancer, in stage I-III, a smartphone user with daily internet access. The intervention sessions were administered for a period of eight weeks, one hour per week to groups of four to six participants. Patients had the ACT-ON mobile application at their disposal, which provided them with access to therapy-related activities: mindfulness, metaphors and exercises to clarify values.

RESULTS

The application obtained adequate adoption (61.54%) and usage (54.17%) rates. Usability and ease of learning scores were as follows: good usability (M = 79.81, SD = 11.87); high usability (M = 80.53, SD = 14.04); ease of learning (M = 37.5, SD = 23.85).

DISCUSSION

This is the first study to develop and evaluate the usability of an application designed to support ACT-based interventions in cancer patients undergoing treatment. The results show that the ACT-ON app is a feasible tool which achieves high levels of usability. However, said results ought to be confirmed by studies that include a larger number of cancer patients.

Effectiveness of mHealth-based psychosocial interventions for breast cancer patients and their caregivers: A systematic review and meta-analysis

BACKGROUND

Breast cancer causes significant distress in patient-caregiver dyads. While psychosocial and/or mHealth-based interventions have shown efficacy in improving their psychosocial well-being, no reviews have synthesised the effectiveness of such interventions delivered specifically to the breast cancer patient-caregiver dyad.

OBJECTIVE

To synthesise available evidence examining the effectiveness of mHealth-based psychosocial interventions among breast cancer patient-caregiver dyads in improving their psychosocial well-being (primary outcomes: dyadic adjustment, depression and anxiety; secondary outcomes: stress, symptom distress, social well-being and relationship quality), compared to active or non-active controls.

DESIGN

A systematic review and meta-analysis.

METHODS

Randomised controlled trials and quasi-experimental studies were comprehensively searched from seven electronic databases (PubMed, CENTRAL, CINAHL, Embase, PsycINFO, Scopus, Web of Science), ongoing trial registries (ClinicalTrials.gov, WHO ICTRP) and grey literature (ProQuest Dissertations and Theses Global) from inception of databases till 23 December 2022. Studies involving breast cancer patient-caregiver dyads participating in mHealth-based psychosocial interventions, compared to active or non-active controls, were included. Exclusion criteria were terminally ill patients and/or participants with psychiatric disorders or cognitive impairment and interventions collecting symptomatic data, promoting breast cancer screening or involving only physical activities. Screening, data extraction and quality appraisal of studies were conducted independently by two reviewers. Cochrane Risk of Bias Tool version 1 and JBI Critical Appraisal Checklist were used to appraise the randomised controlled trials and quasi-experimental studies, respectively. Meta-analyses using Review Manager 5.4.1 synthesised the effects of outcomes of interest. Sensitivity and subgroup analyses were conducted. The GRADE approach appraised the overall evidence quality.

RESULTS

Twelve trials involving 1204 breast cancer patient-caregiver dyads were included. Meta-analyses found statistically significant increase in caregiver anxiety (standardised mean difference (SMD) = 0.43, 95% confidence interval (CI) [0.09, 0.77], Z = 2.47, p = 0.01), involving 479 caregivers in 5 studies, and stress (SMD = 0.25, 95% CI [0.05, 0.45], Z = 2.44, p = 0.01), involving 387 caregivers in 4 studies post-intervention, favouring control groups. The intervention effects on the remaining outcomes were statistically insignificant. Beneficial effects of such interventions remain uncertain. The overall quality of evidence was very low for all primary outcomes.

CONCLUSIONS

Results of the effectiveness of mHealth-based psychosocial interventions on the psychosocial well-being of breast cancer patient-caregiver dyads are inconclusive. The high heterogeneity shown in the meta-analyses and very-low overall quality of evidence imply the need for cautious interpretation of findings. Higher-quality studies are needed to assess the effects of psychosocial interventions on dyadic outcomes and determine optimal intervention regimes.

An Evaluation of Interactive mHealth Applications for Adults Living with Cancer

This study evaluated the quality and usefulness of interactive mobile health (mHealth) applications (apps) for adults with cancer. The PRISMA guidelines were followed to add rigor to the search, as well as to the data collection and analysis. The apps available in the most used app stores (Google Play and Apple) with interactive tailored features were identified. To supplement this, a Google web search was also conducted. The apps were evaluated for their quality using the validated Mobile App Rating Scale (MARS) and for their usefulness using a checklist of end users' desired features derived from the literature. The searches returned 3046 apps and 17 were retained for evaluation. The average quality score of the apps across the sample was 3.62/5 (SD 0.26, range: 3.14-4.06), with Outcomes4me scoring the highest. On average, the apps scored 50% (SD 2.5, range: 31-88%) on the usefulness checklist, with Cancer.net scoring the highest. The lowest-scoring categories were communications features on the usefulness checklist and "information" on the MARS, indicating areas for future work. The findings identified the apps of an acceptable quality and usefulness that could be recommended to those with cancer.

Features of Cancer mHealth Apps and Evidence for Patient Preferences: Scoping Literature Review

BACKGROUND

Cancer is increasingly being treated as a chronic disease rather than an acute one-time illness. Additionally, oral anticancer therapies, as opposed to intravenous chemotherapy, are now available for an increasing number of cancer indications. Mobile health (mHealth) apps for use on mobile devices (eg, smartphones or tablets) are designed to help patients with medication adherence, symptom tracking, and disease management. Several previous literature reviews have been conducted regarding mHealth apps for cancer. However, these studies did not address patient preferences for the features of cancer mHealth apps.

OBJECTIVE

The primary aim was to review the scientific literature that describes the features and functions of mHealth apps designed for cancer self-management.

METHODS

As the purpose of this review was to explore the depth and breadth of research on mHealth app features for cancer self-management, a scoping review methodology was adopted. Four databases were used for this review: PubMed/MEDLINE, Embase, CINAHL, and PsycINFO. Citation and reference searches were conducted for manuscripts meeting the inclusion criteria. A gray literature search was also conducted. Data extracted from manuscripts included author, title, publication date, study type, sampling type, cancer type, treatment, age of participants, features, availability (free or subscription), design input, and patient preferences. Finally, the features listed for each app were compared, highlighting similarities across platforms as well as features unique to each app.

RESULTS

After the removal of duplicates, 522 manuscripts remained for the title and abstract review, with 51 undergoing full-text review. A total of 7 manuscripts (referred to as studies hereafter) were included in the final scoping review. App features described in each study varied from 2 to 11, with a median of 4 features per app. The most reported feature was a symptom or side effect tracker, which was reported in 6 studies. Two apps specified the inclusion of patients and health care providers during the design, while 1 app noted that IT and communications experts provided design input. The utility of the apps for end users was measured in several ways, including acceptability (measuring the end users' experience), usability (assessing the functionality and performance by observing real users completing tasks), or qualitative data (reports from end users collected from interviews or focus groups).

CONCLUSIONS

This review explored the literature on cancer mHealth apps. Popular features within these mHealth apps include symptom trackers, cancer education, and medication trackers. However, these apps and features are often developed with little input from patients. Additionally, there is little information regarding patient preferences for the features of existing apps. While the number of cancer-related apps available for download continues to increase, further exploration of patient preferences for app features could result in apps that better meet patient disease self-management needs.

Mobile applications in radiation oncology-current choices and future potentials

PURPOSE

To review existing scientific literature on mobile applications (apps) in the field of radiation oncology and to evaluate characteristics of commercially available apps across different platforms.

METHODS

A systematic review of the literature for publications presenting apps in the field of radiation oncology was carried out using the PubMed database, Cochrane library, Google Scholar, and annual meetings of major radiation oncology societies. Additionally, the two major marketplaces for apps, App Store and Play Store, were searched for available radiation oncology apps for patients and health care professionals (HCP).

RESULTS

A total of 38 original publications which met the inclusion criteria were identified. Within those publications, 32 apps were developed for patients and 6 for HCP. The vast majority of patient apps focused on documenting electronic patient-reported outcomes (ePROs). In the two major marketplaces, 26 apps were found, mainly supporting HCP with dose calculations.

CONCLUSION

Apps used in (and for) scientific research in radiation oncology are rarely available for patients and HCP in common marketplaces.

Evaluation of mobile health applications for cervical cancer in the digital marketplace

Objective

To assess the quality of mobile health (mHealth) applications (apps) for cervical cancer using the mobile app rating scale (MARS), APPLICATIONS scoring system, and app rating using specific statements.

Methods

We searched for cervical cancer apps on two major mobile operating systems (Google Play Store and Apple iTunes Store) in March 2021. Eligible apps were downloaded and assessed for quality by two independent reviewers using multimodal assessment tools.

Results

The overall quality of the MARS score was 2.61±0.795. The highest scoring app was “The American Society for Colposcopy and Cervical Pathology (ASCCP) Management Guidelines” (3.98). Overall, apps scored highest in the functionality domain, followed by information, engagement, and aesthetics domains. The mean±standard deviation of the APPLICATIONS scoring system was 8.50±1.712. The highest-rated apps were “ASCCP Management Guidelines,” “The British Society for Colposcopy and Cervical Pathology (BSCCP),” and “Cervical Cancer Guide.” Apps scored the highest in the paid subscription and price domains. By contrast, apps scored poorly in the text search, literature, and subjective presentation domains. Concerning app content, many apps infrequently provided misconceptions regarding cervical cancer. The apps’ rating using specific statements was 7.81±4.562.

Conclusion

Overall, the apps analyzed using the MARS and APPLICATIONS scoring systems demonstrated above-average quality. However, there is a need to improve the essential information conveyed by these applications. Moreover, the assessment tools have influenced different app quality rating results, confirming the lack of standardized quality assessment tools for mHealth apps.

Digital health in oncology in Africa: A scoping review and cross-sectional survey

BACKGROUND

Low- and middle-income countries, especially in Africa, face a growing cancer burden. Adoption of digital health solutions has the potential to improve cancer care delivery and research in these countries. However, the extent of implementation and the impact of digital health interventions across the cancer continuum in Africa have not been studied.

AIMS

To describe the current landscape of digital health interventions in oncology in Africa.

METHODS

We conducted a scoping literature review and supplemented this with a survey. Following the PRISMA for Scoping Reviews guidelines, we searched literature in PubMed and Embase for keywords and synonyms for cancer, digital health, and African countries, and abstracted data using a structured form. For the survey, participants were delegates of the 2019 conference of the African Organization for Research and Training in Cancer.

RESULTS

The literature review identified 57 articles describing 40 digital health interventions or solutions from 17 African countries, while the survey included 111 respondents from 18 African countries, and these reported 25 different digital health systems. Six articles (10.5%) reported randomized controlled trials. The other 51 articles (89.5%) were descriptive or quasi-experimental studies. The interventions mostly targeted cancer prevention (28 articles, 49.1%) or diagnosis and treatment (23 articles, 40.4%). Four articles (7.0%) targeted survivorship and end of life, and the rest were cross-cutting. Cervical cancer was the most targeted cancer (25 articles, 43.9%). Regarding WHO classification of digital interventions, most were for providers (35 articles, 61.4%) or clients (13, 22.8%), while the others were for data services or cut across these categories. The interventions were mostly isolated pilots using basic technologies such as SMS and telephone calls for notifying patients of their appointments or results, or for cancer awareness; image capture apps for cervical cancer screening, and tele-conferencing for tele-pathology and mentorship. Generally positive results were reported, but evaluation focused on structure and process measures such as ease of use, infrastructure requirements, and acceptability of intervention; or general benefits e.g. supporting training and mentorship of providers, communication among providers and clients, and improving data collection and management. No studies evaluated individualized clinical outcomes, and there were no interventions in literature for health system managers although the systems identified in the survey had such functionality, e.g. inventory management. The survey also indicated that none of the digital health systems had all the functionalities for a comprehensive EHR, and major barriers for digital health were initial and ongoing costs, resistance from clinical staff, and lack of fit between the EHR and the clinical workflows.

CONCLUSION

Digital health interventions in oncology in Africa are at early maturity stages but promising. Barriers such as funding, fit between digital health tools and clinical workflows, and inertia towards technology, shall need to be addressed to allow for advancement of digital health solutions to support all parts of the cancer continuum. Future research should investigate the impact of digital health solutions on long-term cancer outcomes such as cancer mortality, morbidity and quality of life.

Emerging digital technologies in cancer treatment, prevention, and control

The very first issue of the journal of Translational Behavioral Medicine (TBM) was dedicated, in part, to the theme of Health Information Technology as a platform for evidence implementation. The topic was timely: legislation in the USA was passed with the intent of stimulating the adoption of electronic health records; mobile smartphones, tablets, and other devices were gaining traction in the consumer market, while members within the Society of Behavioral Medicine were gaining scientific understanding on how to use these tools to effect healthy behavior change. For the anniversary issue of TBM, we evaluated the progress and problems associated with deploying digital health technologies to support cancer treatment, prevention, and control over the last decade. We conducted a narrative review of published literature to identify the role that emerging digital technologies may take in achieving national and international objectives in the decade to come. We tracked our evaluation of the literature across three phases in the cancer control continuum: (a) prevention, (b) early detection/screening, and (c) treatment/survivorship. From our targeted review and analyses, we noted that significant progress had been made in the adoption of digital health technologies in the cancer space over the past decade but that significant work remains to be done to integrate these technologies effectively into the cancer control systems needed to improve outcomes equitably across populations. The challenge for the next 10 years is inherently translational.

Landscape Analysis of Oncology Mobile Health Applications

PURPOSE

More than 325,000 mobile health (mhealth) applications (apps) have been developed. We sought to describe the state of oncology-specific apps and to highlight areas of strength and opportunities for future development.

METHODS

We searched for oncology apps in the Apple iOS and Google Play app stores in January 2020. Apps were classified by English language support, date of last update, downloads, intended audience, intended purpose, and developer type.

RESULTS

We identified 794 oncology-specific, English language applications; only 257 (32%) met basic recency standards and were considered evaluable. Of evaluable apps, almost half (47%) were found in the Medical Store Category and the majority were free (88%). The most common intended audience was health care professionals (45%), with 28% being geared toward the general public and 27% being intended for patients. The intended function was education for 36%, clinical decision support for 19.5%, and patient support for 18%. Only 23% of education apps and 40% of clinical decision support apps reported any formal app content review process. Web developers created 61.5% of apps, scientific societies created 10%, and hospitals or health care organizations created just 6%. Of 54 studies that used mobile apps in oncology identified by a recent meta-analysis, only two could be matched to commercially available apps from our study, suggesting a substantial divide between investigation and product dissemination.

CONCLUSION

Relatively few oncology-related apps exist in the commercial marketplace, up-to-date apps are uncommon, and there is a notable absence of key oncology stakeholders in app development. Meaningful development opportunities exist.

Artificial intelligence: how it works and criteria for assessment

Artificial intelligence is a term used to describe computer technology in the modeling of intelligent behavior and critical thinking comparable to that of humans. To date, some of the first areas of medicine to be influenced by advances in artificial intelligence technologies will be those most dependent on imaging. These include ophthalmology, radiology, and dermatology. In connection with the emergence of numerous medical applications, scientists have formulated criteria for their assessment. This list included: clinical validation, regular application updates, functional focus, cost, availability of an information block for specialists and patients, compliance with the conditions of government regulation, and registration. One of the applications that meet all the requirements is the ProRodinki software package, developed for use by patients and specialists in the Russian Federation. Taking into account a widespread and rapidly developing competitive environment, it is necessary to soberly treat the resources of such applications, not exaggerating their capabilities and not considering them as a substitute for a specialist.

Mobile app validation: a digital health scorecard approach

While digital health solutions continue to grow in number and in complexity, the ability for stakeholders in healthcare to easily discern quality lags far behind. This challenge is in part due to the lack of a transparent and standardized approach to validation. Evaluation of mobile health applications (apps) is further burdened by low barriers to development and direct-to-user marketing, leading to a crowded and confusing landscape. In this context, we investigated the pragmatic application of a previously described framework for digital health validation, the Digital Health Scorecard, in a cohort of 22 popular mobile health oncology apps. The apps evaluated using this framework performed poorly, scoring 49.4% across all evaluation criteria as a group. Performance across component domains varied considerably with cost scoring highest at 100%, usability at 56.7%, technical at 37.3%, and clinical at 15.9%. satisfaction of prospectively determined end-user requirements derived from patient, family, and clinician consensus scored 37.2%. While cost outperformed consistently and usability was adequate, the results also suggested that apps suffered from significant technical limitations, were of limited clinical value, and generally did not do what end users wanted. These large gaps further support the need for transparent and standardized evaluation to help all stakeholders in healthcare improve the quality of mobile health.

Adaptation of the MAUQ and usability evaluation of a mobile phone-based system to promote eye donation

INTRODUCTION

Mobile Applications (apps) are commonly used in the health care settings to improve the quality of care, however prior to the release of the app it is vital to evaluate its usability. Therefore, the aim of this study is to adapt the mobile Health App Usability Questionnaire (MAUQ) and measure the usability of the Eye donor Aust App using the modified instrument (m-MAUQ).

METHODS

The study was undertaken using a convenience sample of 94 patients and their carers attending three eye clinics and one outpatient department in a large hospital in Sydney Australia. The study was conducted in two phases. Phase 1 involved the adaptation of the MAUQ, and validity testing of the modified version. Phase 2 included the usability evaluation of the Eye donor Aust App using the modified MAUQ (m-MAUQ).

RESULTS

The m-MAUQ comprised of 15 items and the content validity of the instrument was considered satisfactory. Exploratory factor analysis supported a three-factor structure namely: ease of use and satisfaction (nine items), usefulness in obtaining information (three items), and system information arrangement (three items). The internal consistency for the subscales and the total scale was high with Cronbach's alpha values greater than 0.90. The usability score for the Eye donor Aust App was high (mean 5.99; SD 0.74). The construct validity was supported as there were no differences in usability scores among males and females. Older people found the app less useful for obtaining information about eye donation.

CONCLUSIONS

The results support the use of the m-MAUQ as a valid instrument to measure the usability of the Eye Donor Aust App. This instrument requires further testing in other groups of people. Usability testing of the Eye Donor Aust app demonstrated that the participants were satisfied with the content and functionality of the app stating that it was well organised, visually appealing and user friendly. This result could translate into more people using the app and thereby increasing their knowledge and attitude towards eye donation as well as registering to become a donor.

Optimizing e-learning in oncology during the COVID-19 pandemic and beyond

The coronavirus disease 2019 (COVID-19) pandemic has profoundly impacted cancer care, research and residency training in oncology worldwide. Many countries canceled exams, shortened their residency program and medical school tenure. Traditional teaching and learning method has faced significant disruption during this time and the situation has pushed us to adapt to e-learning. Most national and international cancer meetings were converted into a virtual platform during this time. E-learning ensures a safe environment to maintain education during a pandemic. Digital technology-based learning is likely to be used effectively in oncology training even after the pandemic ends. Stakeholders should work towards standardizing e-learning into routine educational modules and create a system of credibility and accountability.

The Italian consensus conference on the role of rehabilitation for children and adolescents with leukemia, central nervous system, and bone tumors, part 1: Review of the conference and presentation of consensus statements on rehabilitative evaluation of motor aspects

Because of increasing survival rates in pediatric oncology, attention is focusing on cancer and its treatment-related side effects. Rehabilitation may reduce their impact. However, the literature does not provide strong evidence regarding rehabilitation pathways. Therefore, the Italian Association of Pediatric Hematology and Oncology organized a consensus conference on the role of rehabilitation of motor impairments in children/adolescents affected by leukemia, central nervous system, and bone tumors to define recommendations for daily practice. The grading of recommendation assessment, developing and evaluation (GRADE) method was used in order to formulate questions, select outcomes, evaluate evidence, and create recommendations. This paper includes the results on the rehabilitation assessment.

Review of smartphone mobile applications for skin cancer detection: what are the changes in availability, functionality, and costs to users over time?

Smartphone applications (apps) are available to consumers for skin cancer prevention and early detection. This study aims to review changes over time in the skin cancer apps available to consumers as well as their functionality and costs. Apps for the prevention of skin cancer were searched on two major smartphone app stores (Android and iOS) in June 2019. The number, functionality, ratings, and price of the apps were described and compared to similar reviews of the skin cancer app market from 2014 to 2017. Overall, the June 2019 search identified 66 apps. Of 39 apps found in 2014, 30 were no longer available in 2019 representing an attrition rate of 77%; of 43 apps available in 2017, attrition was 46.5%. In 2019, 63.6% (n = 42/66) of apps were free to download compared to 53.5% (n = 23/43) in 2017. Input from clinician/professional bodies was evident for 47.0% (n = 31/66) of the apps in 2019 compared to 34.9% (15/43) in 2017. The most common app functionality offered in 2019 was monitoring/tracking of lesions at 48.5% (n = 32/66). Since 2014, there has been a steady increase in the number of apps available for the general public to support the prevention or early detection of skin cancers. There continues to be a high turnover of apps, and many apps still appear to lack clinician input and/or evidence for their safety and value.

Mobile Applications for Training Plan Using Android Devices: A Systematic Review and a Taxonomy Proposal

Fitness and physical exercise are preferred in the pursuit of healthier and active lifestyles. The number of mobile applications aiming to replace or complement a personal trainer is increasing. However, this also raises questions about the reliability, integrity, and even safety of the information provided by such applications. In this study, we review mobile applications that serve as virtual personal trainers. We present a systematic review of 36 related mobile applications, updated between 2017 and 2020, classifying them according to their characteristics. The selection criteria considers the following combination of keywords: “workout”, “personal trainer”, “physical activity”, “fitness”, “gymnasium”, and “daily plan”. Based on the analysis of the identified mobile applications, we propose a new taxonomy and present detailed guidelines on creating mobile applications for personalised workouts. Finally, we investigated how can mobile applications promote health and well-being of users and whether the identified applications are used in any scientific studies.

Uncertain Multiplicative Language Decision Method Based on Group Compromise Framework for Evaluation of Mobile Medical APPs in China

The mobile medical application (M-medical APP) can optimize medical service process and reduce health management costs for users, which has become an important complementary form of traditional medical services. To assist users including patients choose the ideal M-medical APP, we proposed a novel multiple attribute group decision making algorithm based on group compromise framework, which need not determine the weight of decision-maker. The algorithm utilized an uncertain multiplicative linguistic variable to measure the individual original preference to express the real evaluation information as much as possible. The attribute weight was calculated by maximizing the differences among alternatives. It determined the individual alternatives ranking according to the net flow of each alternative. By solved the 0–1 optimal model with the objective of minimizing the differences between individual ranking, the ultimate group compromise ranking was obtained. Then we took 10 well-known M-medical APPs in Chinese as an example, we summarized service categories provided for users and constructed the assessment system consisting of 8 indexes considering the service quality users are concerned with. Finally, the effectiveness and superiority of the proposed method and the consistency of ranking results were verified, through comparing the group ranking results of 3 similar algorithms. The experiments show that group compromise ranking is sensitive to attribute weight.

[Estimation of weight based on age in Ecuadorian boys and girls: a validation of the APLS formula]

Introduction

Introduction: in children the use of therapeutic interventions, which includes the administration of medications, is based on body weight. Objective: to validate the equations proposed by "Advanced Pediatric Life Support - APLS" in 2011 (APLS 1) and 2001 (APLS 2) to estimate weight in Ecuadorian girls and boys, considering their ethnic diversity and age groups. Methods: a cross-sectional study which included 21,735 girls and boys belonging to three ethnic groups: mestizo, indigenous, and other (white, black, and mulatto), with ages between 0 and 12 years, who participated in the ENSANUT-ECU study. Differences, Spearman's correlation, Bland-Altman graphs, and percentage error (PE) were calculated. Data were processed and analyzed using R. Results: APLS 1 tends to overestimate weight whereas APLS 2 underestimates it. The estimated weight bias was greater for the classical equation. The indigenous and "other" ethnic groups presented the highest differences with respect to measured weight. The differences between estimated weight and measured weight increased progressively with age. With APLS 1, the percentage of individuals with a PE > 10 % was greater than with APLS 2. Conclusions: APLS does not accurately estimate weight in the Ecuadorian pediatric population. The difference between estimated weight and measured weight is sensitive to ethnic and age differences.