scholarly journals “It’s Not Just Technology, It’s People”: Constructing a Conceptual Model of Shared Health Informatics for Tracking in Chronic Illness Management

10.2196/10830 ◽  
2019 ◽  
Vol 21 (4) ◽  
pp. e10830 ◽  
Author(s):  
Lisa M Vizer ◽  
Jordan Eschler ◽  
Bon Mi Koo ◽  
James Ralston ◽  
Wanda Pratt ◽  
...  
Keyword(s):  
Chronic Illness ◽  
Conceptual Model ◽  
Health Informatics ◽  
Illness Management ◽  
Chronic Illness Management

scholarly journals “It’s Not Just Technology, It’s People”: Constructing a Conceptual Model of Shared Health Informatics for Tracking in Chronic Illness Management (Preprint)

2018 ◽  
Author(s):  
Lisa M Vizer ◽  
Jordan Eschler ◽  
Bon Mi Koo ◽  
James Ralston ◽  
Wanda Pratt ◽  
...  
Keyword(s):  
Chronic Illness ◽  
Social Context ◽  
Conceptual Model ◽  
Health Care Providers ◽  
Health Informatics ◽  
Health Indicators ◽  
Illness Management ◽  
Care Providers ◽  
The Social ◽  
Chronic Illness Management

BACKGROUND For many people, tracking health indicators is central to managing a chronic illness. However, previous informatics research has largely viewed tracking as a solitary process that lacks the characteristics essential to tracking in support of chronic illness management. OBJECTIVE To inform development of effective technologies that aid tracking of health indicators to support chronic illness management, this study aimed to construct a health informatics model that accurately describes the work and social context of that tracking work. METHODS As part of a larger project, we conducted semistructured interviews with 40 adults concerning their chronic illness management practices, including tracking and communication. We also assembled transcripts of 30 publicly available videos of 24 adults discussing tracking processes for managing their own chronic illness. We used qualitative methods to analyze interviews and video transcripts through the lens of ongoing personal and health informatics research. RESULTS We have described the people and work involved in tracking in support of chronic illness management and contributed a Conceptual Model of Shared Health Informatics (CoMSHI). Specifically, we identified the need for a health informatics model that (1) incorporates the ongoing nature of tracking work and (2) represents the social dimension of tracking for illness management. Our model depicts communication, information, collection, integration, reflection, and action work in the social context of the person with chronic illness, informal carers, health care providers, and community members. CONCLUSIONS The resulting CoMSHI yields a more detailed and nuanced viewpoint of tracking in support of chronic illness management and can inform technology design to improve tracking tools to support people in more confident and capable chronic illness management.

scholarly journals Older Adults’ Perception of Chronic Illness Management in South Korea

2014 ◽  
Vol 47 (4) ◽  
pp. 236-243 ◽  
Author(s):  
Minah Kang ◽  
Jaiyong Kim ◽  
Sang-Soo Bae ◽  
Yong-Jun Choi ◽  
Dong-Soo Shin
Keyword(s):  
Older Adults ◽  
Chronic Illness ◽  
South Korea ◽  
Illness Management ◽  
Chronic Illness Management

scholarly journals Is degree of chronic illness management in heart transplant centers associated with better patient survival? Findings from the intercontinental BRIGHT study

2021 ◽  
pp. 174239532110397
Author(s):  
Maan Isabella Cajita ◽  
Kris Denhaerynck ◽  
Lut Berben ◽  
Fabienne Dobbels ◽  
Johan Van Cleemput ◽  
...  
Keyword(s):  
Chronic Illness ◽  
Heart Transplant ◽  
Latent Profile Analysis ◽  
The Other ◽  
System Level ◽  
Medium Effect ◽  
Illness Management ◽  
Low Degree ◽  
Chronic Illness Management ◽  
High Degree

Purpose To explore the association between the degree of Chronic illness management and survival rates at 1-, 3-, 5-years post heart transplantation. Methods Exploratory secondary analysis of a cross-sectional, international study (Building Research Initiative Group study). Latent profile analysis was performed to classify 36 heart transplant centers according to the degree of chronic illness management. Results The analysis resulted in 2 classes with 29 centers classified as “low-degree chronic illness management” and 7 centers as “high-degree chronic illness management”. After 1-year posttransplantation, the high-degree chronic illness management class had a significantly greater mean survival rate compared to the low-degree chronic illness management class (88.4% vs 84.2%, p = 0.045) and the difference had a medium effect size (η2 = .06). No difference in survival for the other time points was observed. Patients in high-degree chronic illness management centers had 52% lower odds of moderate to severe drinking (95% confidence interval .30–.78, p = 0.003). No significant associations between degree of chronic illness management and the other recommended health behaviors were observed. Conclusions The findings from this exploratory study offer preliminary insight into a system-level pathway (chronic illness management) for improving outcomes for heart transplant recipients. The signals observed in our data support further investigation into the effectiveness of chronic illness management-based interventions in heart transplant follow-up care.

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