scholarly journals Design and Development of a Context-Aware Knowledge-Based Module for Identifying Relevant Information and Information Gaps in Patients With Type 1 Diabetes Self-Collected Health Data (Preprint)

2018 ◽  
Author(s):  
Alain Giordanengo ◽  
Pinar �zturk ◽  
Anne Helen Hansen ◽  
Eirik �rsand ◽  
Astrid Gr�ttland ◽  
...  
JMIR Diabetes ◽  
10.2196/10431 ◽  
2018 ◽  
Vol 3 (3) ◽  
pp. e10431 ◽  
Author(s):  
Alain Giordanengo ◽  
Pinar Øzturk ◽  
Anne Helen Hansen ◽  
Eirik Årsand ◽  
Astrid Grøttland ◽  
...  

Author(s):  
Natasja Kingod

Danish adults with type 1 diabetes value peer-to-peer interaction through the social media platform Facebook as a way to quickly exchange knowledge on essential everyday self-care for chronic illness. In this praxiographic study, following informants into online and offline social dimensions, I explore how they use Facebook to exchange self-care knowledge based on practical experiments and negotiations between bodies, technologies and daily lives. When in doubt about how to self-care on a daily basis, Danish adults with type 1 diabetes look to Facebook for inspiration and peer support. A synergistic process of online searching and sharing and offline tinkering with self-care generates person-centred knowledge about how to live with illness that is situated to individual needs and unique daily lives. Facebook can be viewed as an emergent space for biosociality through which knowledge about how to self-care become co-constructed by peers based on their pragmatic experiences of self-care on a daily and ongoing basis.


2017 ◽  
Vol 62 ◽  
pp. 1-10 ◽  
Author(s):  
Marisa E. Hilliard ◽  
Carrie Tully ◽  
Maureen Monaghan ◽  
Jichuan Wang ◽  
Randi Streisand

2005 ◽  
Vol 21 (3) ◽  
pp. 264-270 ◽  
Author(s):  
Emily P. Taylor ◽  
John R. Crawford ◽  
Ann E. Gold

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Alanna Weisman ◽  
Jacqueline Young ◽  
Karen Tu ◽  
Liisa Jaakimainen ◽  
Lorraine Lipscombe ◽  
...  

2019 ◽  
Author(s):  
Alain Giordanengo ◽  
Torbjørn Torsvik ◽  
Ashenafi Zebene Woldaregay ◽  
Astrid Grøttland ◽  
Eirik Årsand ◽  
...  

BACKGROUND Introducing self-collected health data from patients with diabetes into consultation can be beneficial for both patients and clinicians. Patients can be more proactive in their disease management and clinicians can provide more tailored medical services. In the best situation, EHRs should be able to receive self-collected health data in a medical data standard representation such as FHIR from patients systems such as mHealth apps and to display it directly to their users, the clinicians. However, while Norwegian EHRs are working on implementing FHIR, no solution or graphical interface is available today to display self-collected health data. OBJECTIVE The objective of this study was to design and assess a dashboard for displaying relevant self-collected health data from patients with diabetes to clinicians. METHODS The design relied on 1) consulting scientific literature dealing with health data presentation in combination with existing system providing self-collected health data to clinicians, and 2) workshops involving patients, clinicians and researchers to define which in-formation should be available and how it should be displayed. The assessment relied on presenting an instance of the dashboard populated with the data collected from one patient with diabetes type 1 (in-house researcher) face to face with six clinicians. We per-formed a qualitative analysis based on usability, functionality and expectation using responses to questionnaires distributed to the six clinicians at the end of the workshops and collected before the participants left. RESULTS We showed a dashboard permitting clinicians to 1) assess the reliability of self-collected health data, 2) list all collected data among medical calculations and 3) point out medical situations to investigate for improving the situation of the patients. The system uses a combination of tables, graphs and other visual representations to display the relevant information. The assessment showed that the clinicians think that this type of solution will be useful during consultations every day, especially for patients living in remote areas or the ones being technologically interested. CONCLUSIONS Displaying self-collected health data along with their reliability and extracted information can ease the introduction of self-collected health data during consultations with clinicians. The pre-study assessment showed that the system has been very well received by the participants and they were eager to start using it during consultations. The system is currently being tested in a medical trial since No-vember 2018 and the first results concerning its assessment in a real-life situation are expected in the beginning of next year (2020).


2020 ◽  
Vol 29 (1) ◽  
pp. 100-9
Author(s):  
Tajudeen Yahaya ◽  
Titilola Salisu

The possibility of targeting the causal genes along with the mechanisms of pathogenically complex diseases has led to numerous studies on the genetic etiology of some diseases. In particular, studies have added more genes to the list of type 1 diabetes mellitus (T1DM) suspect genes, necessitating an update for the interest of all stakeholders. Therefore this review articulates T1DM suspect genes and their pathophysiology. Notable electronic databases, including Medline, Scopus, PubMed, and Google-Scholar were searched for relevant information. The search identified over 73 genes suspected in the pathogenesis of T1DM, with human leukocyte antigen, insulin gene, and cytotoxic T lymphocyte-associated antigen 4 accounting for most of the cases. Mutations in these genes, along with environmental factors, may produce a defective immune response in the pancreas, resulting in β-cell autoimmunity, insulin deficiency, and hyperglycemia. The mechanisms leading to these cellular reactions are gene-specific and, if targeted in diabetic individuals, may lead to improved treatment. Medical practitioners are advised to formulate treatment procedures that target these genes in patients with T1DM.


2005 ◽  
Vol 39 (8) ◽  
pp. 2
Author(s):  
MIRIAM E. TUCKER

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