scholarly journals Patients’ adherence to smartphone apps in the management of bipolar disorder: a systematic review

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Marie-Camille Patoz ◽  
Diego Hidalgo-Mazzei ◽  
Bruno Pereira ◽  
Olivier Blanc ◽  
Ingrid de Chazeron ◽  
...  

Abstract Background Despite an increasing number of available mental health apps in the bipolar disorder field, these tools remain scarcely implemented in everyday practice and are quickly discontinued by patients after downloading. The aim of this study is to explore adherence characteristics of bipolar disorder patients to dedicated smartphone interventions in research studies. Methods A systematic review following PRISMA guidelines was conducted. Three databases (EMBASE, PsychInfo and MEDLINE) were searched using the following keywords: "bipolar disorder" or "mood disorder" or “bipolar” combined with “digital” or “mobile” or “phone” or “smartphone” or “mHealth” or “ehealth” or "mobile health" or “app” or “mobile-health”. Results Thirteen articles remained in the review after exclusion criteria were applied. Of the 118 eligible studies, 39 did not provide adherence characteristics. Among the selected papers, study length, sample size and definition of measures of adherence were strongly heterogeneous. Activity rates ranged from 58 to 91.6%. Conclusion The adherence of bipolar patients to apps is understudied. Standardised measures of adherence should be defined and systematically evaluated in future studies dedicated to these tools.

2020 ◽  
Author(s):  
Louise Wallace ◽  
Nadja Heym ◽  
Alexander Sumich ◽  
Dean Fido

The concept of successful psychopathy has been debated for years, however, there is yet no unified approach to its definition and conceptualisation. Such individuals are said to encompass the core traits associated with psychopathy, whilst continuing to function in society, potentially having superior levels of functioning. This review assimilates the existing literature related to successful psychopathy in the general population. An extensive systematic review was performed using four databases, and two key concepts; namely success and psychopathy. After removing duplicates and articles deemed irrelevant, 180 papers were appraised against the review’s inclusion and exclusion criteria. The remaining 19 papers underwent quality control by two raters. A narrative synthesis was performed. The key factors associated with the successful psychopathy construct were fearlessness, stress immunity, social potency, normal or superior cognitive performance, professional achievement, stable socioeconomic status, leadership, pride, and aversion to punishment during conflict. Inconsistent findings were considered a result of the variations in psychopathy measurements used, and a lack of an agreed definition of success. Recommendations are provided for the establishment of a unified framework, and the need for a moderated measure of successful psychopathy to allow more systematic research into the notion of successful psychopathy in the general populations.


2021 ◽  
Author(s):  
Madison Milne-Ives ◽  
Sophie Homer ◽  
Jackie Andrade ◽  
Edward Meinert

BACKGROUND The use of digitally-enabled care and the emphasis on self-management of health is growing. Mobile health apps provide a promising means of supporting health behaviour change; however, engagement with them is often poor and evidence of their impact on health outcomes is lacking. As engagement is a key prerequisite to health behaviour change, it is essential to understand how engagement with mobile health apps and their target health behaviours can be better supported. Despite an increasing recognition of the importance of engagement in the literature, there is still a lack of understanding of how different components of engagement are associated with specific techniques that aim to change behaviours. OBJECTIVE The purpose of this systematic review protocol is to provide a synthesis of the associations between various Behaviour Change Techniques (BCTs)and the different components of engagement (and their outcome measures) with mobile health apps. METHODS The review protocol was structured using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) and the Population, Intervention, Comparator, and Outcome (PICO) frameworks. Six databases will be systematically searched: PubMed, Embase, Cumulative Index to Nursing and Allied Health Literature (CINAHL), APA PsycInfo, ScienceDirect, and Web of Science. Title and abstract screening, full-text review, and data extraction will be conducted by two independent reviewers. Data will be extracted into a predetermined form, and any disagreements in screening or data extraction will be discussed, with a third reviewer consulted if consensus cannot be reached. Risk of bias will be assessed using the Cochrane Collaboration Risk of Bias 2 and ROBINS-I tools and descriptive and thematic analyses will be used to summarise the relationships between BCTs and the different components of engagement. RESULTS The systematic review has not been started. It is expected to be completed and submitted for publication by January 2022. CONCLUSIONS This systematic review will summarize the associations between different BCTs and various components and measures of engagement with mobile health apps. This will identify areas where further research is needed to examine BCTs that could potentially support effective engagement and help to inform the design and evaluation of future mobile health apps. CLINICALTRIAL PROSPERO (reference number TBD)


2019 ◽  
Author(s):  
Tiago M de Carvalho ◽  
Eline Noels ◽  
Marlies Wakkee ◽  
Andreea Udrea ◽  
Tamar Nijsten

UNSTRUCTURED Skin cancer is a growing public health problem. Early and accurate detection is important, since prognosis and cost of treatment are highly dependent on cancer stage at detection. However, access to specialized health care professionals is not always straightforward, and population screening programs are unlikely to become implemented. Furthermore, there is a wide margin for improving the efficiency of skin cancer diagnostics. Specifically, the diagnostic accuracy of general practitioners and family physicians in differentiating benign and malignant skin tumors is relatively low. Both access to care and diagnostic accuracy fuel interest in developing smartphone apps equipped with algorithms for image analyses of suspicious lesions to detect skin cancer. Based on a recent review, seven smartphone apps claim to perform image analysis for skin cancer detection, but as of October 2018, only three seemed to be active. These apps have been criticized in the past due to their lack of diagnostic accuracy. Here, we review the development of the SkinVision smartphone app, which has more than 900,000 users worldwide. The latest version of the SkinVision app (October 2018) has a 95% sensitivity (78% specificity) for detection of skin cancer. The current accuracy of the algorithm may warrant the use of this app as an aid by lay users or general practitioners. Nonetheless, for mobile health apps to become broadly accepted, further research is needed on their health impact on the health system and the user population. Ultimately, mobile health apps could become a powerful tool to reduce health care costs related to skin cancer management and minimize the morbidity of skin cancer in the population.


2020 ◽  
Vol 17 (8) ◽  
pp. 745-759
Author(s):  
Wilasinee HONGSANUN ◽  
Suppachai INSUK

Summative evidences on the criteria for user assessment of health apps are still limited. In order to determine an assessment method for mobile health apps, rigorous and appropriate criteria must be chosen. The aim of this study is to review the existing quality assessment criteria that are being used to assess the quality of mobile health apps focusing on users’ perspectives. In addition, a procedure for the quality assessment of health apps is also presented. A systematic review was conducted utilizing 5 databases; PubMed, ScienceDirect, Scopus, CENTRAL and IEEE Xplore from 2008 to 2017. Search terms were; “mHealth”, “Applications”, “iOS OR Android”, “smartphones”, “quality”, etc. Papers that assessed the quality of health apps by users were selected. The PRISMA guideline was followed to complete the list of final studies. Likewise, a data extraction form was based on the PICO framework. From 6,514 studies, 69 studies met the eligibility criteria. Four hundred and forty-one quality assessment criteria for users were classified into 15 domains: Ease of use, Usability, Aesthetics, Connectivity, Functionality, Information, User satisfaction, Acceptability, Error occurrence, Motivation, Engagement, Data management, Undesirable events, Credentials and Security and privacy. An “ease of use” domain was found common in the included studies. The 15 domains were suggested as criteria for further study of the quality assessment and development of mHealth apps. Moreover, five recommended steps were presented for future research of quality of mobile health apps.


Author(s):  
Fatma S. Hafez ◽  
Da’u Abba Umar ◽  
Y.H. Taufiq Yap ◽  
Saad Mekhilef

Accessing energy in the world is crucial nowadays. Energy is an essential factor to achieve other SDGs including SDG7. However, the determination and evaluation of the relationship between different energy scenarios to achieve SDG 7 and other SDGs have not done yet. This paper seeks to fill this gap by investigating how energy seniors can contribute to achieving SDG 7 and other SDGs. Web of Science, ScienceDirect and Scopus databases were utilized for conduction a systematic review. A total finial 25 from 249 papers were filtered from 2015 to December 2020 via inclusion and exclusion criteria. This review involves six seniors of energy which primary linked to achieving the SDG 7 and other SDGs: modern energy 20% (n = 5/25), energy access 16% (n = 4/20), energy efficiency 8% (n= 2/16), renewable energy 28% (n= 7/14), energy services 8% (n= 2/7), and miscellaneous energy 20% (n= 5/5). This systematic review explores the opportunities, constraints and limitations, recommendations, and new directions. The results show that different energy scenarios contribute to achieving mainly (SDG7) and other SDGs. The outcomes from this systematic review provide a sense of direction for future researchers for future studies in this domain.


Author(s):  
Jordi Miró ◽  
Pere Llorens-Vernet

BACKGROUND In recent years, the considerable increase in the number of mobile health apps has made healthcare more accessible and affordable for all. However, the exponential growth in mHealth solutions has occurred with almost no control or regulation of any kind. Despite some recent initiatives, there is still no specific regulation procedure, accreditation system or standards to help the development of the apps, mitigate risks or guarantee quality. OBJECTIVE The main aim of this study is to provide a set of standards for mobile health-related apps on the basis of what is available from guidelines, frameworks, and standards in the field of health app development. METHODS To identify the most important criteria, we used three strategies. First, we conducted a systematic review of all the studies published on health-related apps. Second, we searched for health-app recommendations on the websites of professional organizations. Finally, we looked for standards governing the development of software for medical devices on the specialized webs of regulatory organizations. Then, we compiled the criteria we had identified and determined which of them could be regarded as essential, recommendable or desirable. RESULTS We identified a total of 168 criteria from the systematic review, 282 criteria from published guidelines, and 53 criteria from the standards of medical devices. These criteria were then grouped and subsumed under 8 categories, which included 36 important criteria for health apps. Of these 7 were considered to be essential, 18 recommendable, and 11 desirable. The more essential criteria an mHealth application has, the greater its quality. CONCLUSIONS This set of standards can be easily used by health care providers, developers, patients and other stakeholders, both to guide the development of mHealth related apps and to measure the quality of an mHealth app.


2021 ◽  
pp. 359-363
Author(s):  
Nurha Yingta ◽  
José Abdelnour Nocera ◽  
Obed Brew ◽  
Ikram Ur Rehman

2019 ◽  
Author(s):  
Madison Milne-Ives ◽  
Ching Lam ◽  
Michelle Helena Van Velthoven ◽  
Edward Meinert

BACKGROUND The popularity and ubiquity of mobile apps have rapidly expanded in the past decade. With a growing focus on patient interaction with health management, mobile apps are increasingly used to monitor health and deliver behavioral interventions. The considerable variation in these mobile health apps, from their target patient group to their health behavior, and their behavioral change strategy, has resulted in a large but incohesive body of literature. OBJECTIVE The purpose of this protocol is to provide an overview of the current landscape, theories behind, and effectiveness of mobile apps for health behavior change. METHODS The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols will be used to structure this protocol. The focus of the systematic review is guided by a population, intervention, comparator, and outcome framework. A systematic search of Medline, EMBASE, CINAHL, and Web of Science will be conducted. Two authors will independently screen the titles and abstracts of identified references and select studies according to the eligibility criteria. Any discrepancies will then be discussed and resolved. One reviewer will extract data into a standardized form, which will be validated by a second reviewer. Risk of bias was assessed using the Cochrane Collaboration Risk of Bias tool, and a descriptive analysis will summarize the effectiveness of all the apps. RESULTS As of November 2019, the systematic review has been completed and is in peer review for publication. CONCLUSIONS This systematic review will summarize the current mobile app technologies and their effectiveness, usability, and coherence with behavior change theory. It will identify areas of improvement (where there is no evidence of efficacy) and help inform the development of more useful and engaging mobile health apps. INTERNATIONAL REGISTERED REPORT PRR1-10.2196/16931


Sign in / Sign up

Export Citation Format

Share Document