Adding telephone interface to web service Implication to the self-care support system for life-style diseases

Author(s):  
Masatoshi Kawarasaki ◽  
Kyoji Konishi ◽  
Makoto Ohara ◽  
Tetsuya Igarashi
2012 ◽  
Vol 2 (2) ◽  
pp. 1-8
Author(s):  
Masatoshi Kawarasaki ◽  
Kyoji Konishi ◽  
Makoto Ohara ◽  
Tetsuya Igarashi

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S326-S327
Author(s):  
Priya Nambisan ◽  
Kalle Lyytinen ◽  
Kurt Stange ◽  
Eva Kahana ◽  
Gary L Kreps

Abstract This paper presents an innovative conceptual framework for designing a Comprehensive Digital Self-care Support System (CDSSS) to meet the health needs -physical, mental and social health needs of older adults and their caregivers. Older adults deal with multiple co-morbidities, medications and their side effects, fragmented care and often have poor understanding of their own health and treatments. These challenges call for solutions that lead to better empowerment and pro-active engagement and for support systems that focus on wellness and preventive care. The conceptual model we offer draws on diverse disciplines including health care management and medicine, information systems, communication, consumer behavior, and sociology to identify a set of key design principles for CDSSS. A review and analysis of the literature in the different fields led to the identification of 6 CDSSS design principles: (1) Systems approach; (2) User experience; (3) Ecosystem perspective for shared resources 4) Social and contextual learning; (5) Accessible design; (6) Designing for trust and empathy. The model clarifies how these design principles (or approaches) inform the development of the three main components of a CDSSS (data integration, communication, and resource integration) and enable the key CDSSS deliverables (learning, social & emotional support and care integration). The conceptual model also helps to lay out an agenda for future research on self-care support systems for older adults.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 633-633
Author(s):  
Priya Nambisan ◽  
Kurt Stange ◽  
Kalle Lyytinen ◽  
Eva Kahana ◽  
Edmund Duthie ◽  
...  

Abstract This 3-phase study involves the conceptualization and design, development and usability testing of a Comprehensive Digital Self-care Support System (CDSSS) named myHESTIA for older adults with multiple chronic conditions (MCC). The objective of this study was to test whether a CDSSS can be developed for those who are dealing with MCC and whether such a system that is specifically developed for older adult patients will enable daily capture of self-care data. Participants for this 3-phase study included: 10 older adults (age>60) and 10 caregivers in Phase 1; 15 Geriatrics clinicians and 25 community-dwelling low-income older adults in Phase 2; and, 10 older adults (age>60) with MCC in Phase 3. Agile method of system development was used for the design and development of the system. The first two phases involved collecting data for designing and developing myHESTIA. The third phase involved small group usability and feasibility testing, in which the participants used myHESTIA trackers for 4 weeks. Results from phase 3 shows daily inputs were possible and the self-reported data shows that it was not at all difficult for older adults to track their symptoms daily. User experience data (n=10) shows overall positive experience along pragmatic (5.8 out of 7), hedonic (4.6 out of 7), sociability (5.5 out of 7) and usability (6.3 out of 7) experience dimensions. Finally, all the participants (n=10) who completed the phase 3 study reported intention to continue using myHESTIA. Results indicate that it is feasible to design a CDSSS for older adults with MCC.


2016 ◽  
Vol 136 (2) ◽  
pp. 218-225
Author(s):  
Kyohei Sugino ◽  
Yusuke Niwa ◽  
Shun Shiramatsu ◽  
Tadachika Ozono ◽  
Toramatsu Shintani

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Melinda Boss ◽  
Jennifer Turner ◽  
Patrick Boss ◽  
Peter Hartmann ◽  
Douglas Pritchard ◽  
...  

Abstract Background Health professionals caring for women and infants experiencing difficulty with breastfeeding have reported deficiencies in evidence-based lactation knowledge. LactaMap is an online lactation care support system with more than 100 clinical practice guidelines to support breastfeeding care. Clinical practice guidelines support medical decision-making by summarising scientific evidence into systematically developed statements for specific clinical circumstances. Both common-sense and theory-based approaches have been used for guideline development and debate continues regarding which is superior. LactaMap clinical practice guidelines were created over the course of 5 years using a common-sense approach that was refined inductively. The aim of this study was to incorporate a theory-based framework approach into the methodology for ongoing update and review of LactaMap clinical practice guidelines. Methods The Appraisal of Guidelines for Research and Evaluation (AGREE) II instrument was chosen as the framework-based approach to appraise LactaMap guideline quality. The study was conducted in two phases. The first phase appraised all 103 original LactaMap guidelines. The second phase appraised a subset of 15 updated LactaMap guidelines using improved methodology guided by phase 1, as well as 15 corresponding original (un-updated) guidelines. Results Mean Domain scores for 103 LactaMap original guidelines were above 75% in 3 of the 6 AGREE II quality Domains and no mean Domain score rated poorly. Update of guideline methodology was guided by phase 1 appraisals. Improved documentation of methods relating to questions in the Rigour of Development Domain resulted in improvement in mean Domain score from 39 to 72%. Conclusions This study showed that a theory-based approach to guideline development methodology can be readily integrated with a common-sense approach. Factors identified by AGREE II theory-based framework provided practical guidance for changes in methodology that were integrated prior to LactaMap website publication. Demonstration of high quality in LactaMap clinical practice guideline methodology ensures clinicians and the public can have trust that the content founded on them is robust, scientific and of highest possible quality.


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