Recommendations for a mobile health research platform from a developer's perspective: Survey Study (Preprint)

2020 ◽  
Author(s):  
Dario Salvi ◽  
Carmelo Velardo ◽  
Arvin Rishi Goburdhun ◽  
Lionel Tarassenko
Keyword(s):  
Mobile Health ◽  
Data Protection ◽  
Health Research ◽  
Regulatory Compliance ◽  
Survey Study ◽  
Future Research ◽  
Health Records ◽  
Great Opportunity ◽  
Healthcare Data ◽  
Code Base

BACKGROUND The use of mobile phone apps and connected wearable devices offers a great opportunity for health research. In order make healthcare data accessible across organisations, physicians and patients, recent platforms like Apple HealthKit, Google Fit or Samsung Health allow to securely store and share health data among smartphone apps with the consent of the user. These mobile health records can be combined with software platforms, like ResearchKit and ResearchStack to simplify the development of research apps by providing ready-made common use cases while being compliant to regulations in data protection and health research. Even though a plethora of such platforms exist, none of them can be considered as a widely established tool yet. OBJECTIVE To provide recommendations for new platforms through the analysis of the limitations posed by existing platforms and by identifying common needs and established practices in mHealth development. METHODS We first analyse the state of the art of mobile-health development in research settings, including existing tools and frameworks to support it. To complement the scant literature, we disseminated a survey among mobile-health researchers and developers to understand best practices, what type of tools are used and which would be desirable. RESULTS Related to current practices and unmet needs in mHealth development we identify the following themes: a) costs and resources, b) usability and context awareness, c) middleware and software architectures, d) multi-platform support, e) mobile connectivity, f) reliability and testing, g) data protection and regulatory compliance and h) interoperability. In relation to existing platforms we identified these common shortcomings: 1) poor regulatory compliance, 2) lack of documentation, 3) low maturity, 4) poor usability (from the developer’s perspective) and intuitiveness. Our survey received 28 very varied responses, which identify a core of concerns shared for most of the reported projects and not entirely met by the current offer of development platforms. Based on these results, we provide recommendations for future mobile-health platforms, particularly focusing on multi-operating system support, integration with existing health records, regulatory compliance, involvement of stakeholders, modularity, extensibility and overall quality of the code base. CONCLUSIONS Our recommendations intend to guide the development of a platform to be used as a common tool for future research in mobile-health.

Feeling Threatened by Immigrants: The Role of Ideology and Subjective Societal Status

2020 ◽  
Author(s):  
Michael Bollwerk ◽  
Bernd Schlipphak ◽  
Joscha Stecker ◽  
Jens Hellmann ◽  
Gerald Echterhoff ◽  
...  
Keyword(s):  
Online Survey ◽  
Middle Eastern ◽  
Social Dominance Orientation ◽  
Survey Study ◽  
Future Research ◽  
Right Wing Authoritarianism ◽  
Threat Perceptions ◽  
Contextual Determinants ◽  
Intergroup Conflicts ◽  
And Gender

Threat perceptions towards immigrants continue to gain importance in the context of growing international migration. To reduce associated intergroup conflicts, it is crucial to understand the personal and contextual determinants of perceived threat. In a large online survey study (N = 1,184), we investigated the effects of ideology (i.e., Right-Wing Authoritarianism and Social Dominance Orientation), subjective societal status (SSS) and their interaction effects in predicting symbolic and realistic threat perceptions towards Middle Eastern immigrants. Results showed that ideology (higher RWA and SDO) and lower SSS significantly predicted both symbolic and realistic threat, even after controlling for income, education, age, and gender. Furthermore, ideology and SSS interacted significantly in predicting realistic threat, with higher levels of SDO and RWA enhancing the effect of SSS. In the discussion, we focus on the implications of our findings with respect to understanding societal conflicts, discuss methodological limitations, and provide directions for future research.

Mobile-Friendly Dashboards to Display Associations Between Cited-by and Similar Journals on Mobile Health Research: A Bibliometric Study (Preprint)

2018 ◽  
Author(s):  
Tsair-Wei Chien ◽  
Hsien-Yi Wang ◽  
Yang Shao ◽  
Willy Chou
Keyword(s):  
Social Network ◽  
Mobile Health ◽  
Health Research ◽  
Similarity Criteria ◽  
Network Density ◽  
Deep Insight ◽  
Density Indices ◽  
The Subject ◽  
The Given ◽  
Insight Into

BACKGROUND Researchers often spend a great deal of time and effort retrieving related journals for their studies and submissions. Authors often designate one article and then retrieve other articles that are related to the given one using PubMed’s service for finding cited-by or similar articles. However, to date, none present the association between cited-by and similar journals related to a given journal. Authors need one effective and efficient way to find related journals on the topic of mobile health research. OBJECTIVE This study aims (1) to show the related journals for a given journal by both cited-by and similarity criteria; (2) to present the association between cited-by and similarity journals related to a given journal; (3) to inspect the patterns of network density indices among clusters classified by social network analysis (SNA); (4) to investigate the feature of Kendall's coefficient(W) of concordance. METHODS We obtained 676 abstracts since 2013 from Medline based on the keywords of ("JMIR mHealth and uHealth"[Journal]) on June 30, 2018, and plotted the clusters of related journals on Google Maps by using MS Excel modules. The features of network density indices were examined. The Kendall coefficient (W) was used to assess the concordance of clusters across indices. RESULTS This study found that (1) the journals related to JMIR mHealth and uHealth are easily presented on dashboards; (2) a mild association(=0.14) exists between cited-by and similar journals related to JMIR mHealth and uHealth; (3) the median Impact Factor were 3.37 and 2.183 based on the representatives of top ten clusters grouped by the cited-by and similar journals, respectively; (4) all Kendall’s coefficients(i.e., 0.82, 0.89, 0.92, and 0.75) for the four sets of density centrality have a statistically significant concordance (p < 0.05). CONCLUSIONS SNA provides deep insight into the relationships of related journals to a given journal. The results of this research can provide readers with a knowledge and concept diagram to use with future submissions to a given journal in the subject category of Mobile Health Research. CLINICALTRIAL Not available

scholarly journals Patients’ moral attitudes toward electronic health records: Survey study with vignettes and statements

2021 ◽  
Vol 27 (1) ◽  
pp. 146045822098003
Author(s):  
Tania Moerenhout ◽  
Ignaas Devisch ◽  
Laetitia Cooreman ◽  
Jodie Bernaerdt ◽  
An De Sutter ◽  
...  
Keyword(s):  
Electronic Health Records ◽  
De Novo ◽  
Information Access ◽  
Survey Study ◽  
Sensitive Information ◽  
Patient Portal ◽  
Care Providers ◽  
Health Records ◽  
Electronic Health ◽  
Moral Attitudes

Patient access to electronic health records gives rise to ethical questions related to the patient-doctor-computer relationship. Our study aims to examine patients’ moral attitudes toward a shared EHR, with a focus on autonomy, information access, and responsibility. A de novo self-administered questionnaire containing three vignettes and 15 statements was distributed among patients in four different settings. A total of 1688 valid questionnaires were collected. Patients’ mean age was 51 years, 61% was female, 50% had a higher degree (college or university), and almost 50% suffered from a chronic illness. Respondents were hesitant to hide sensitive information electronically from their care providers. They also strongly believed hiding information could negatively affect the quality of care provided. Participants preferred to be informed about negative test results in a face-to-face conversation, or would have every patient decide individually how they want to receive results. Patients generally had little experience using patient portal systems and expressed a need for more information on EHRs in this survey. They tended to be hesitant to take up control over their medical data in the EHR and deemed patients share a responsibility for the accuracy of information in their record.

scholarly journals Has the GDPR hype affected users’ reaction to cookie disclaimers?

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Oksana Kulyk ◽  
Nina Gerber ◽  
Annika Hilt ◽  
Melanie Volkamer
Keyword(s):  
Data Protection ◽  
Media Coverage ◽  
Privacy Protection ◽  
Third Parties ◽  
Survey Study ◽  
Decision To Leave ◽  
General Data Protection Regulation ◽  
General Data ◽  
Negative Feelings

  For many years, cookies have been widely used by websites, storing information about users’ behaviour. While enabling additional functionality and potentially improving user experience, cookies can be a threat to users’ privacy, especially cookies used by third parties for data analysis. Websites providers are legally required to inform users about cookie use by displaying a so-called cookie disclaimer. We conducted a survey study in 2017 to investigate how users perceive this disclaimer and whether it affects their actual behaviour. We found that while most participants had negative feelings towards the disclaimer, the disclaimer text had no significant effect on their decision to leave the website. Since the extensive media coverage of data protection issues that accompanied the EU General Data Protection Regulation (GDPR) entry into force in May 2018 may have sensitized users to privacy protection, we conducted a follow-up study in December 2018. Our results suggest that users did not change their attitude towards cookie use in favour of privacy protection, but got even more accustomed to the use of cookies, also by third parties. Moreover, many users seem to have misconceptions regarding cookie use. We discuss the implications of our results for the users’ right to make an informed decision about their privacy.

scholarly journals Patients, clinicians and researchers working together to improve cardiovascular health: a qualitative study of barriers and priorities for patient-oriented research

BMJ Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. e031187 ◽  
Author(s):  
Maria-Jose Santana ◽  
Sandra Zelinsky ◽  
Sadia Ahmed ◽  
Chelsea Doktorchik ◽  
Matthew James ◽  
...  
Keyword(s):  
Health Research ◽  
Heart Diseases ◽  
Research Priorities ◽  
Research Programme ◽  
Advisory Council ◽  
Future Research ◽  
Prediction And Prevention ◽  
Participatory Health Research ◽  
Working Together ◽  
Oriented Research

ObjectivesThe overall goal of this study is to identify priorities for cardiovascular (CV) health research that are important to patients and clinician-researchers. We brought together a group of CV patients and clinician-researchers new to patient-oriented research (POR), to build a multidisciplinary POR team and form an advisory committee for the Libin Cardiovascular Institute of Alberta.DesignThis qualitative POR used a participatory health research paradigm to work with participants in eliciting their priorities. Therefore, participants were involved in priority setting, and analysis of findings. Participants also developed a plan for continued engagement to support POR in CV health research.SettingLibin Cardiovascular Institute of Alberta, Cumming School of Medicine, University of Calgary, Canada.ParticipantsA total of 23 participants, including patients and family caregivers (n=12) and clinician-researchers (n=11).ResultsParticipants identified barriers and facilitators to POR in CV health (lack of awareness of POR and poor understanding on the role of patients) and 10 research priorities for improving CV health. The CV health research priorities include: (1) CV disease prediction and prevention, (2) access to CV care, (3) communication with providers, (4) use of eHealth technology, (5) patient experiences in healthcare, (6) patient engagement, (7) transitions and continuity of CV care, (8) integrated CV care, (9) development of structures for patient-to-patient support and (10) research on rare heart diseases.ConclusionsIn this study, research priorities were identified by patients and clinician-researchers working together to improve CV health. Future research programme and projects will be developed to address these priorities. A key output of this study is the creation of the patient advisory council that will provide support and will work with clinician-researchers to improve CV health.

Feature

2010 ◽  
Vol 14 (05n06) ◽  
pp. 22-38
Keyword(s):  
Cancer Patients ◽  
Biodiversity Conservation ◽  
Mobile Health ◽  
Health Records ◽  
Drug Companies ◽  
A Priority ◽  
Vein Harvesting

Biodiversity Conservation is Everyone's Business. Search for ASEAN Champions of Biodiversity is On. Drug Companies Reduce Prices of Medicines. SWS: Make Health A Priority, Filipinos Ask Next Leaders. New Vein Harvesting Technology. Mobile Health Records in Malaysia. Faster, Accurately Targeted Radiation Cancer Patients. SingHealth Selects IBM and SAP To Transform HR Processes.

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