914-P: Connected Glucose Meter plus CDE Coaching Improves Diabetes Patient Empowerment and Distress in Real-World Outcomes Setting

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 914-P
Author(s):  
JENNIFER BOLLYKY ◽  
WEI LU ◽  
STEFANIE L. PAINTER ◽  
JIAT LING POON ◽  
MAGALY PEREZ-NIEVES
Keyword(s):  
Real World ◽  
Patient Empowerment ◽  
Diabetes Patient ◽  
Glucose Meter

Implementation of the Vinehealth application, a digital health tool, into the care of patients living with brain cancer.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e13582-e13582
Author(s):  
Andrew Gvozdanovic ◽  
Riccardo Mangiapelo ◽  
Rayna Patel ◽  
Georgina Kirby ◽  
Neil Kitchen ◽  
...  
Keyword(s):  
Real World ◽  
Brain Cancer ◽  
Care Delivery ◽  
Digital Health ◽  
Patient Empowerment ◽  
Initial Step ◽  
Mixed Methodology ◽  
Structured Interviews ◽  
Strong Basis ◽  
Eortc Qlq

e13582 Background: Cancers of the brain lead to significant neurocognitive, physical and psychological morbidities. Digital technologies provide a novel platform to capture and evaluate these needs. Mobile health (mHealth) applications typically focus on one aspect of care rather than addressing the multimodal needs of the demographic of these patients. The Vinehealth application aims to address this by tracking symptoms, delivering machine learning-based personalised educational content, and facilitating reminders for medications and appointments. Where mHealth interventions traditionally lack the evidence-based approach of pharmaceuticals, this study acts as an initial step in the rigorous assessment of a new digital health tool. Methods: A mixed methodology approach was applied to evaluate the Vinehealth application as a care delivery adjunct. Patients with brain cancer were recruited from the day of their procedure ± 7 days. Over a 12-week period, we collected real-world and ePRO data via the application. We assessed qualitative feedback from mixed-methodology surveys and semi-structured interviews at onboarding and after two weeks of application use. Results: Six participants enrolled of whom four downloaded the application; four completed all interviews. One patient set up their device incorrectly and so couldn't receive the questionnaires; excluding this patient, the EQ-5D-5L and EORTC QLQ-BN20 completion rates were 100% and 83% respectively. Average scores (±SD) at onboarding and offboarding were EQ-5D-5L: 2.07±1.28 and 1.73±1.22, and QLQ-BN20: 13.33 and 22.5. In total: 212 symptoms, 174 activity, and 47 medication data points were captured, and 113 educational articles were read. Participants were generally optimistic about application use. All users stated they would recommend Vinehealth and expressed subjective improvements in care. Accessibility issues in the ePRO delivery system which impacted completion rate were identified and have subsequently been fully addressed. Conclusions: This feasibility study showed acceptable patient use, led to a subjective improvement in care, and demonstrated effective collection of real-world and validated ePRO data. This provides a strong basis to further explore the integration of the Vinehealth application into brain cancer care. This study will inform the design of a larger, more comprehensive trial continuing to evaluate improvements in care delivery through data collection, educational support and patient empowerment.

Model Data

2021 ◽  
pp. 95-188
Author(s):  
Kai R. Larsen ◽  
Daniel S. Becker
Keyword(s):  
Real World ◽  
Diabetes Patient ◽  
Model Data ◽  
Real World Data ◽  
Future Events ◽  
Patient’S Information ◽  
The Subject ◽  
Modeling Data ◽  
Using Data ◽  
World Environment

After preparing your dataset, the business problem should be quite familiar, along with the subject matter and the content of the dataset. This section is about modeling data, using data to train algorithms to create models that can be used to predict future events or understand past events. The section shows where data modeling fits in the overall machine learning pipeline. Traditionally, we store real-world data in one or more databases or files. This data is extracted, and features and a target (T) are created and submitted to the “Model Data” stage (the topic of this section). Following the completion of this stage, the model produced is examined (Section V) and placed into production. With the model in the production system, present data generated from the real-world environment is inputted into the system. In the example case of a diabetes patient, we enter a new patient’s information electronic health record into the system, and a database lookup retrieves additional data for feature creation.

scholarly journals A Predictive Model-Based Decision Support System for Diabetes Patient Empowerment

2021 ◽  
Author(s):  
Dietmar Glachs ◽  
Tuncay Namli ◽  
Felix Strohmeier ◽  
Gustavo Rodríguez Suárez ◽  
Michel Sluis ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Data Processing ◽  
Support System ◽  
Patient Empowerment ◽  
Personal Data ◽  
Diabetes Patient ◽  
Treatment Goals ◽  
Management Support ◽  
Periodic Review

The main objective of POWER2DM is to develop and validate a personalized self-management support system (SMSS) for T1 and T2 diabetes patients that combines and integrates i) a decision support system (DSS) based on leading European predictive personalized models for diabetes interlinked with predictive computer models, ii) automated e-coaching functionalities based on Behavioral Change Theories, and iii) real-time Personal Data processing and interpretation. The SMSS offers a guided workflow based on treatment goals and activities where a periodic review evaluates the patients progress and provides detailed feedback on how to improve towards a healthier, diabetes appropriate lifestyle.

scholarly journals Mobile apps for real-world evidence in health care

2020 ◽  
Vol 27 (6) ◽  
pp. 976-980
Author(s):  
Madison Milne-Ives ◽  
Michelle Helena van Velthoven ◽  
Edward Meinert
Keyword(s):  
Health Care ◽  
Mobile Health ◽  
Real World ◽  
Patient Empowerment ◽  
Real World Data ◽  
Privacy And Security ◽  
World Data ◽  
Health Apps ◽  
Real World Evidence ◽  
Mobile Health Apps

Abstract The use of real-world evidence for health care research and evaluation is growing. Mobile health apps have often-overlooked potential to contribute valuable real-world data that are not captured by other sources and could provide data that are more cost-effective and generalizable than can randomized controlled trials. However, there are several challenges that must be overcome to realize the potential value of patient-used mobile health app real-world data, including data quality, motivation for long-term use, privacy and security, methods of analysis, and standardization and integration. Addressing these challenges will increase the value of data from mobile health apps to inform real-world evidence and improve patient empowerment, clinical management, disease research, and treatment development.

scholarly journals Guidelines for Facilitating a Patient Empowerment Program

1995 ◽  
Vol 21 (4) ◽  
pp. 308-312 ◽  
Author(s):  
Marilynn S. Arnold ◽  
Patricia M. Butler ◽  
Robert M. Anderson ◽  
Martha M. Funnell ◽  
Catherine Feste
Keyword(s):  
Goal Setting ◽  
Patient Empowerment ◽  
Diabetes Patient ◽  
Self Management ◽  
Self Awareness ◽  
Actual Process ◽  
Diabetes Empowerment ◽  
Diabetes Educators ◽  
Minimal Research ◽  
Empowerment Program

The traditional medical treatment model often ignores the emotional, spiritual, social, and cognitive aspects of living with a chronic disease such as diabetes. Empowerment programs address these psychosocial areas by helping individuals develop skills and self-awareness in goal setting, problem solving, stress management, coping, social support, and motivation. Although many diabetes educators have been taught to use an empowerment curriculum to facilitate self-management, there is minimal research concerning the actual process of providing such programs to patients. We evaluated an empowerment curriculum (Empowerment: A Personal Path to Self-Care) with a diverse group of individuals with diabetes to determine the key elements of planning and implementing a successful diabetes patient empowerment program.

629-P: Real-World Evidence of Diabetes App Use in Daily Life: Assessing New Users’ Engagement with a Blood Glucose Meter App over a Four-Month Period

Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 629-P
Author(s):  
RICHARD WOOD ◽  
CATERINA FLORISSI ◽  
MICHAEL YOUNGE ◽  
KEATON C. STONER ◽  
LAWRENCE FISHER ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Real World ◽  
Daily Life ◽  
Real World Evidence ◽  
Glucose Meter ◽  
Blood Glucose Meter

The myth and reality of mental illness

Thomas Szasz ◽  
2019 ◽  
pp. 169-176
Author(s):  
Allen Frances
Keyword(s):  
Mental Illness ◽  
Real World ◽  
Mentally Ill ◽  
Patient Empowerment ◽  
State Hospitals

There are points of reconciliation between the uncompromising libertarian philosophy of Szasz and what he refers to as “real-world psychiatry” (i.e., problems that clinicians face in helping the so-called “mentally ill”). Szasz’s principled stance against the abuses of psychiatry advocates an antipaternalistic approach. He performed great service, exposing the risks of coercive psychiatry, fighting for patient empowerment, freedom, and dignity. The system no longer exists where there are several thousand patients in state hospitals—many inappropriately admitted into “snake pits”—but we now have to fight the criminalization of mental illness, with the mentally ill in jails and the homeless living in streets. It would be wonderful to have Szasz still alive to lead the movement to free the severely ill from prisons, just as he helped to free them from hospitals.

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