“Doctor Smartphone”

The rapid growth in the field of m-health has not gone unnoticed by the mainstream media in Norway. Norwegian newspapers have a strong presence and outreach and hence play an important role in shaping of the public discourse on various subjects with m-health being no exception. This article presents a Dispositive Analysis of 23 articles from 6 national newspapers concerning mobile health applications. The analysis resulted in an interpretation of the press's technology views as theories of technology, which informed the discussion in this paper. Further, the newspaper articles were understood as discursive practices and analyzed by applying the concept of dispositives. The results of the analysis suggest inclusion of Dispositive Analysis as a step in Participatory Design process as means of enriching the design practices as well as uncovering the marginalized ‘voices' and thus addressing the call for democratization of technology.

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Guidelines for Mobile Health Applications

Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care ◽

10.1177/2327857919081050 ◽

2019 ◽

Vol 8 (1) ◽

pp. 197-200

Author(s):

Natalie A. Abts ◽

Stephanie A. McNicol ◽

Russell J. Branaghan

Keyword(s):

Human Factors ◽

Mobile Health ◽

Iterative Process ◽

Healthcare Providers ◽

Regulatory Oversight ◽

The Public ◽

General Lack ◽

Mobile Health Applications ◽

Conducting Research ◽

Health Applications

Mobile health (mHealth) is a fast-growing industry that facilitates the management of healthcare by both patients and healthcare providers (Zapata, et al, 2015). The growing popularity of this platform and general lack of regulatory oversight has led to wide variation in adherence to sound human factors and usability principles. Thus, a set of guiding criteria would help developers streamline their processes through standardization. As part of a project referred to as the Xcertia Guidelines, a workgroup of industry experts and stakeholders developed guidelines for incorporating usability principles into the development of mHealth applications. Using an iterative process, the workgroup conducting research to generate content covering 10 distinct topic areas for a draft publication released in February, 2019. After an open comment period, an updated version of the guidelines will be released to the public.

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Malaria Geo-Localization with Mobile-Health Applications

SSRN Electronic Journal ◽

10.2139/ssrn.2708159 ◽

2015 ◽

Author(s):

Roberto Moro Visconti ◽

Alberto Larocca ◽

Michele Marconi

Keyword(s):

Mobile Health ◽

Mobile Health Applications ◽

Health Applications

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EFFECTIVNESS OF SPECIFIC MOBILE HEALTH APPLICATIONS (mHEALTH-APPS)in GESTATIONAL DIABTETES MELLITUS: A SYSTEMATIC REVIEW (Preprint)

10.2196/preprints.23016 ◽

2020 ◽

Author(s):

Claudia Eberle ◽

Maxine Löhnert

Keyword(s):

Mobile Health ◽

Cochrane Library ◽

Clinical Parameters ◽

Control Groups ◽

Manual Search ◽

Mobile Health Applications ◽

Short And Long Term ◽

Mhealth Apps ◽

Health Applications

BACKGROUND Gestational diabetes mellitus (GDM) emerges worldwide and is closely associated with short- and long-term health issues in women and their offspring, such as pregnancy and birth complications respectively comorbidities, Type 2 Diabetes (T2D), Metabolic Syndrome (MetS) as well as cardiovascular disease (CD). Against this background mobile health applications (mHealth-Apps) do open up new possibilities to improve the management of GDM clearly. OBJECTIVE Since there is – to our knowledge – no systematic literature review published, which focusses on the effectiveness of specific mHealth-Apps on clinical health-related short and long-term outcomes of mother and child, we conducted these much-needed analyses. METHODS Data sources: A systematic literature search in Medline (Pubmed), Cochrane Library, Embase, CINAHL and Web of Science was performed including full text publications since 2008 up to date. An additional manual search in references and Google Scholar was conducted subsequently. Study Eligibility Criteria: Women diagnosed with GDM using specific mHealth-Apps during pregnancy compared to control groups, which met main clinical parameters and outcomes in GDM management as well as maternity and offspring care. Study appraisal and synthesis methods: Study quality was assessed and rated “strong”, “moderate” or “weak” by using the Effective Public Health Practice Project (EPHPP) tool. Study results were strongly categorized by outcomes; an additional qualitative summary was assessed. Study selection: Overall, n= 114 studies were analyzed, n= 46 duplicates were removed, n=5 studies met the eligible criteria and n=1 study was assessed by manual search subsequently. In total, n=6 publications, analyzing n=408 GDM patients in the interventional and n=405 women diagnosed with GDM in the control groups, were included. These studies were divided into n=5 two-arm randomized controlled trials (RCT) and n=1 controlled clinical trial (CCT). RESULTS Distinct improvements in clinical parameters and outcomes, such as fasting blood glucoses (FBG), 2-hour postprandial blood glucoses (PBG), off target blood glucose measurements (OTBG), delivery modes and patient compliance were analyzed in GDM patients using specific mHealth-Apps compared to matched control groups. CONCLUSIONS mHealth-Apps clearly improve clinical outcomes in management of GDM effectively. More studies need to be done more in detail.

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

Applied Health Information Technology ◽

10.18502/ahit.v2i2.7992 ◽

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.

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