scholarly journals AB0911-HPR ROLE OF MOBILE APPLICATIONS IN RHEUMATOLOGY CARE: A MULTICENTRIC SURVEY

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1477.1-1478
Author(s):  
R. Bixio ◽  
A. Biglia ◽  
G. Virelli ◽  
A. Giollo ◽  
C. Montecucco ◽  
...  
Keyword(s):  
Mobile Applications ◽  
Mobile Apps ◽  
Real Life ◽  
Clinical Activity ◽  
Web Based ◽  
Link Type ◽  
Market Report ◽  
Mobile Health Applications ◽  
Mobile Market ◽  
Health Applications

Background:Although mobile health applications (apps) are becoming increasingly popular across several medical specialties, no data are available in rheumatology. The aim of this study is to investigate whether apps are routinely used by rheumatologists.Objectives:In our study we aim assess real-life use of mobile applications in rheumatology clinical activity and to evaluate mobile apps role in rheumatology training, in particular for residents, and clinical activity.Methods:We invited a non-selected sample of rheumatologists (consultants, residents and medical students committed to begin rheumatology residency) to participate in an anonymous web-based survey. This survey investigated mobile application use in rheumatology care and issues and concerns about mobile device use in rheumatology.Results:Sixty participants completed the survey (40% consultants, 48.3% residents, 11.7% students). 52/60 (86.7%) declared to use mobile apps during their work. More than 50% used apps at least once a day. Apps were mostly used for calculating clinical disease activity scores for chronic inflammatory arthritides. Most rheumatology residents stated that these apps could be a useful tool in medical training. However, using a smartphone during a clinical examination was deemed to be inappropriate by 26/60 (43.3%).Conclusion:Mobile apps as clinical tools are widespread among rheumatologists.References:[1]Newzoo Global Mobile Market Report 2019 | Light Version [Internet]. Newzoo. [cited 2021 Jan 23]. Available from: https://newzoo.com/insights/trend-reports/newzoo-global-mobile-market-report-2019-light-version/.[2]eHealth WGO for. mHealth: new horizons for health through mobile technologies: second global survey on eHealth [Internet]. World Health Organization; 2011 [cited 2021 Jan 4]. Available from: https://apps.who.int/iris/handle/10665/44607.[3]Grainger R, Townsley H, White B, Langlotz T, Taylor WJ. Apps for People With Rheumatoid Arthritis to Monitor Their Disease Activity: A Review of Apps for Best Practice and Quality. JMIR MHealth UHealth. 2017;5:e7.[4]Salaffi F, Farah S, Di Carlo M. Smartphone APPlications in the clinical care and management of Rheumatic Diseases. Acta Bio Medica Atenei Parm. 2018;89:7–26.[5]Maassen O, Fritsch S, Gantner J, Deffge S, Kunze J, Marx G, et al. Future Mobile Device Usage, Requirements, and Expectations of Physicians in German University Hospitals: Web-Based Survey. J Med Internet Res [Internet]. 2020 [cited 2021 Jan 23];22. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7781804/.[6]Solomon DH, Rudin RS. Digital health technologies: opportunities and challenges in rheumatology. Nat Rev Rheumatol. Nature Publishing Group; 2020;16:525–35.[7]Adami G, Giollo A, Rossini M, Orsolini G, Benini C, Viapiana O, et al. Different fracture risk profile in patients treated with anti-osteoporotic drugs in real-life. Reumatismo. 2020;72:71–4.[8]Maurits M, Yuminaga H, Huizinga T, Knevel R. Mobile health applications in rheumatology: Could they improve our care and research? Int J Clin Rheumatol. Open Access Journals; 2019;14:44.Acknowledgements:We thank prof. Punzi for helping to spread the survey among Rete Reumatologica VenetaDisclosure of Interests:None declared

Mobile Health Applications to Support COVID-19 Self-management: Review and Evaluation

2021 ◽  
Author(s):  
Sahar Khenarinezhad ◽  
Ehsan Ghazanfari Savadkoohi ◽  
Leila Shahmoradi
Keyword(s):  
Mobile Health ◽  
Mobile Apps ◽  
Healthcare Providers ◽  
Vital Signs ◽  
Complete Information ◽  
Self Management ◽  
Management Measures ◽  
Management Procedures ◽  
Mobile Health Applications ◽  
Health Applications

Aim: During the epidemic and with an increase in coronavirus (COVID-19) disease prevalence, emergency care is essential to help people stay informed and undertake self-management measures to protect their health. One of these self-management procedures is the use of mobile apps in health. Mobile health (mHealth) applications include mobile devices in collecting clinical health data, sharing healthcare information for practitioners and patients, real-time monitoring of patient vital signs, and the direct provision of care (via mobile telemedicine). Mobile apps are increasing to improve health, but before healthcare providers can recommend these applications to patients, they need to be sure the apps will help change patients' lifestyles. Method: A search was conducted systematically using the keywords "Covid-19," "Coronavirus," "Covid-19, and Self-management" at the "Apple App Store". Then we evaluated the apps according to MARS criteria in May 2020. Results: A total of 145 apps for COVID-19 self-management were identified, but only 32 apps met our inclusion criteria after being assessed. The overall mean MARS score was 2.9 out of 5, and more than half of the apps had a minimum acceptability score (range 2.5-3.9). The "who academy" app received the highest functionality score. Who Academy, Corona-Care and First Responder COVID-19 Guide had the highest scores for behavior change. Conclusion: Our findings showed that few apps meet the quality, content, and functionality criteria for Covid-19 self-management. Therefore, developers should use evidence-based medical guidelines in creating mobile health applications so that, they can provide comprehensive and complete information to both patients and healthcare provider.

scholarly journals Using Mobile Applications to Increase Physical Activity: A Systematic Review

2020 ◽  
Vol 17 (21) ◽  
pp. 8238
Author(s):  
Laura Pradal-Cano ◽  
Carolina Lozano-Ruiz ◽  
José Juan Pereyra-Rodríguez ◽  
Francesc Saigí-Rubió ◽  
Anna Bach-Faig ◽  
...  
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Mobile Health ◽  
Mobile Applications ◽  
Dietary Behaviour ◽  
Cochrane Library ◽  
Full Text Review ◽  
Mobile Health Applications ◽  
Bibliographic Search ◽  
Health Applications

Unhealthy diet and physical inactivity—major risk factors for the main non-communicable diseases—can be addressed by mobile health applications. Using an evidence-based systematic review design, we analysed studies on mobile applications to foster physical activity to determine whether they met the objective of increasing adults’ physical activity. A bibliographic search was conducted in October 2020 using PubMed, Cochrane Library Plus, Biomed Central, Psychology Database, and SpringerLink, retrieving 191 articles. After titles and abstracts were reviewed, 149 articles were excluded, leaving 42 articles for a full-text review, of which 14 met the inclusion criteria. Despite differences in study duration, design, and variables, 13 of the 14 studies reported that applications were effective in increasing physical activity and healthy habits as dietary behaviour. However, further longer-term studies with larger samples are needed to confirm the effectiveness of mobile health applications in increasing physical activity.

scholarly journals Self-management mobile apps for people with epilepsy: A systematic review (Preprint)

2020 ◽  
Author(s):  
Mohsen Alzamanan Sr ◽  
LIM KHENG SEANG ◽  
Maizatul Akmar Ismail ◽  
Norjihan Abdul Ghani
Keyword(s):  
Medication Adherence ◽  
Mobile Health ◽  
Mobile Apps ◽  
The Self ◽  
Self Management ◽  
Keywords Epilepsy ◽  
Treatment Management ◽  
Mobile Health Applications ◽  
Patients With Epilepsy ◽  
Health Applications

BACKGROUND Patients with epilepsy (PWE) are motivated to manage and cope with their disorder by themselves, that is, self-management (SM). Mobile health applications (apps) have multiple features that show a huge potential to improve self-management of individuals with chronic disorders such as epilepsy. OBJECTIVE This study aims to review all available free apps related to the self-management of PWE and to determine the self-management domains included in these apps METHODS Systematic reviews were performed for all apps by searching in iOS and Android app databases using the keywords “epilepsy” and “seizure.” RESULTS We identified 22 epilepsy SM apps:6 were found in iOS, 7 in Android, and 9 in both.Of the 11 domains of self-management, seizure tracking and seizure response features were available in most Apps(N=22 and N=19respectively), followed by treatment management(N=17) and medication adherence(N=15).Three apps (Epilepsy Journal, Epilepsy Tool Kit and EpiDiary) were installed more than 10,000 times, with features focused specifically on a few domains (including treatment management, medication adherence, health-care communication, and seizure tracking). Two Apps had >6 SM domains (Young epilepsy and E-Epilepsy Inclusion) but both with lower installation rates (5000+ and 100+ respectively). CONCLUSIONS There were mobile health applications to improve self-management in epilepsy in both iOS and Android platform, but the installation rate of most apps was low. The self-management features in various Apps were different and common features included seizure tracking and seizure response.

scholarly journals A fair efficacy formula for assessing the effectiveness of contact tracing applications

2020 ◽  
Author(s):  
Adam Fowler
Keyword(s):  
Mobile Applications ◽  
Mobile Apps ◽  
Time Windows ◽  
Real Life ◽  
Contact Tracing ◽  
Proximity Detection ◽  
Epidemiological Risk ◽  
Efficacy Measure ◽  
Impact Of Technology ◽  
The Impact

AbstractMobile contact tracing apps have been developed by many countries in response to the COVID-19 pandemic. Trials have focussed on unobserved population trials or staged scenarios aimed to simulate real life. No efficacy measure has been developed that assesses the fundamental ability of any proximity detection protocol to accurately detect, measure, and therefore assess the epidemiological risk that a mobile phone owner has been placed at. This paper provides a fair efficacy formula that can be applied to any mobile contact tracing app, using any technology, allowing it’s likely epidemiological effectiveness to be assessed. This paper defines such a formula and provides results for several simulated protocols as well as one real life protocol tested according to the standard methodology set out in this paper. The results presented show that protocols that use time windows greater than 30 seconds or that bucket their distance analogue (E.g. RSSI for Bluetooth) provide poor estimates of risk, showing an efficacy rating of less than 6%. The fair efficacy formula is shown in this paper to be able to be used to calculate the ‘Efficacy of contact tracing’ variable value as used in two papers on using mobile applications for contact tracing [6]. The output from the formulae in this paper, therefore, can be used to directly assess the impact of technology on the spread of a disease outbreak. This formula can be used by nations developing contact tracing applications to assess the efficacy of their applications. This will allow them to reassure their populations and increase the uptake of contact tracing mobile apps, hopefully having an effect on slowing the spread of COVID-19 and future epidemics.

An assessment of the effects of widespread use of mobile applications in the health sector: An exploratory study of its success and failures

2016 ◽  
pp. 145-149
Author(s):  
Nadire Cavus
Keyword(s):  
Health Care ◽  
Mobile Applications ◽  
Health Sector ◽  
Vital Signs ◽  
Early Warning Systems ◽  
Mobile Technologies ◽  
Warning Systems ◽  
Medical Practitioners ◽  
Mobile Health Applications ◽  
Health Applications

Abstract Prior to the introduction of mobile technologies, the manual system of checking patients’ vital signs after approximately seven hours increased the health risk of the patients. Some of the patients’ health was jeopardised, worsening their situation, others re-admitted and others even passing on. The introduction and extensive use of mobile technologies has transformed the delivery of health care. Mobile applications with early warning systems are now dominating the health sector in an attempt to alert medical practitioners to act promptly to the patients’ needs. This paper reviews effects of mobile applications in the health sector as well as the success and failures of Mobile health applications. The assimilation of mobile applications in health care is marking an incredible venture in the health care industry. Keywords: mHealth, mobile applications, success, failures, health sector, mobile technologies, adoption, patients, hospitals.

Mobile Health Applications and Cloud Computing in Cytopathology

2021 ◽  
pp. 1011-1048
Author(s):  
Stavros Archondakis ◽  
Eleftherios Vavoulidis ◽  
Maria Nasioutziki ◽  
Ourania Oustampasidou ◽  
Angelos Daniilidis ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Information Management ◽  
Mobile Applications ◽  
Information Technologies ◽  
Educational Training ◽  
Research Activities ◽  
Information Management Systems ◽  
Mobile Health Applications ◽  
Health Applications

Modern cytopathology labs offer an outstanding portfolio of important testing services that must be of high quality and credibility. Over the last decade, clinical cytopathology was influenced by the wide implementation of computer sciences. Cytopathology labs wishing to achieve a seamless workflow process have successfully adopted automation and information management systems. Innovative information technologies, including e-health, constitute a valuable tool for interlaboratory collaboration and quality improvement. Cloud computing will enhance the opportunities in cytological data management and sharing. The authors present thorough research of mobile applications related to cytopathology and try to foresee applications that may benefit modern cytopathology. Also, the feasibility of such applications for inter-laboratory comparisons, proficiency testing, and diagnostic accuracy validation is examined. Finally, the role of mobile applications for providing and/or enhancing the laboratory capabilities through educational training and other research activities is investigated.

Internet and Computer-Based Treatments for the Management of PTSD

2016 ◽  
Author(s):  
Bradley E. Belsher ◽  
Daniel P. Evatt ◽  
Michael C. Freed ◽  
Charles C. Engel
Keyword(s):  
Rapid Expansion ◽  
Web Based ◽  
The Past ◽  
Treatment Of Depression ◽  
Behavioral Health Disorders ◽  
Critical Issues ◽  
Mobile Health Applications ◽  
Computer Based ◽  
Online Therapies ◽  
Health Applications

A rapid expansion in the development of telehealth treatments has occurred during the past several decades, with a growing body of evidence supporting online therapies for behavioral health disorders. These online interventions have focused primarily on the treatment of depression, panic disorder, social phobia, and generalized anxiety disorder. More recently, and with the relative success of the previous Web-based treatments, several online treatments for posttraumatic stress disorder (PTSD) have emerged. An overview of Internet and computer-based treatments (ICTs) for PTSD is presented, including a general discussion of computerized treatments followed by a review of specific ICTs that have been developed and tested for PTSD. Some of the critical issues surrounding ICTs are then explored, and an example of how online treatments can be incorporated into a larger care model is presented. The discussion ends with a brief description of the use of mobile health applications to augment treatment.

scholarly journals Evaluation of HIV/AIDS-related mobile health applications content using an evidence-based content rating tool

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ahmad Raeesi ◽  
Reza Khajouei ◽  
Leila Ahmadian
Keyword(s):  
Mobile Health ◽  
Evidence Based Medicine ◽  
Mobile Applications ◽  
Evidence Based ◽  
Mobile Health Applications ◽  
The Mean ◽  
Based Medicine ◽  
Google Play ◽  
Health Applications ◽  
Hiv Aids

Abstract Background Despite the increasing number of mobile health applications, the validity of their content is understudied. The objective of this study was to rate the content of HIV/AIDS-related mobile applications and to determine the extent to which evidence-based medicine is being incorporated into their content using a new tool called the Evidence-based content rating tool of mobile health applications (EBCRT-mHealth). Methods All available HIV/AIDS-related applications in Iran from Cafe Bazaar and Google Play Store were evaluated. This study was first conducted in 2018, then after almost two years in 2021 was done again. In this study, researchers developed the EBCRT-mHealth tool to rate the content of applications based on the evidence-based medicine pyramid. Its reliability was calculated (α = 0.78), and five specialists confirmed its validity. Two reviewers independently reviewed all HIV/AIDS applications directly downloaded and installed from the Google Play Store and Cafe Bazaar. Results Out of 980 retrieved applications, in 2018, 85, and in 2021, 78 applications were included in the study. Only in 17 (28%) out of the 60 in 2018, and 25 (51%) in 2021 Google Play store applications the source of content information was mentioned. All Cafe Bazaar mobile applications mentioned the source of information. The mean rating of all application content in 2018 was 2.38 (SD = 0.74), and in 2021 was 2.90 (SD = 1.35) out of 5. The mean rating of the content of Cafe Bazaar applications in 2018 was 2.10 (SD = 0.49), and in 2021 was 1.94 (SD = 0.29). The mean content rating of Google Play store applications in 2018 was 2.50 (SD = 0.80) and in 2021 was 3.86 (SD = 1.18). Conclusion After two years, the rating of the content of HIV/AIDS-related applications available in Iran that existed in Cafe Bazaar decreased from "poor" to "inappropriate". Also, the content score of the Google Play Store applications increased from "poor" to "good". It is critical to ensure the credibility of the sources used in developing their content and removing applications with inappropriate and unreliable content from the App Stores. Also, mobile health application developers should use the highest quality information in their applications.

scholarly journals Mobile health applications and health management behaviors: A cost/benefits approach (Preprint)

2020 ◽  
Author(s):  
Rita Mano
Keyword(s):  
Home Care ◽  
Mobile Health ◽  
Mobile Applications ◽  
Health Management ◽  
Home Care Services ◽  
Care Services ◽  
Situational Effects ◽  
Mobile Health Applications ◽  
Management Behaviors ◽  
Health Applications

BACKGROUND Rising criticisms about the effectiveness and risks associated with the growing use of mobile health, applications necessitate a critical perspective regarding the effectiveness of the link between use of mobile health applications, health attitudes and health behaviors. OBJECTIVE we introduce a “costs/benefits” perspective to examine how health situational effects including health crises, health changes and hospitalization affect the likelihood to adopt lifestyle and health management behaviors. METHODS A sample of 1495 US adults (PEW, 2012) and a set of multiple regression models RESULTS while the use of mobile health applications empowers users to reconsider health concerns, reach health decisions and seek further consultation yet, the existence of situational effects moderates the empowering effect of applications and decreases the likelihood of adopting health management behaviors CONCLUSIONS a costs/benefits perspective captures the push/pull factors associated with the effectiveness of mobile applications use in-home care in order to properly address the costs and benefits of mobile applications use and support home care services.

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