Investigating the behavioural effects of a mobile-phone based home telehealth intervention in people with insulin-requiring diabetes: Results of a randomized controlled trial with patient interviews

INTRODUCTION: Evidence supporting home telehealth effects on clinical outcomes in diabetes is available, yet mechanisms of action for these improvements remain poorly understood. Behavioural change is one plausible explanation. This study investigated the behavioural effects of a mobile-phone based home telehealth (MTH) intervention in people with diabetes. It was hypothesized that MTH would improve self-efficacy, illness beliefs, and diabetes self-care. METHODS: A randomized controlled trial compared standard care to standard care supplemented with MTH (self-monitoring, data transmission, graphical and nurse-initiated feedback, educational calls). Self-report measures of self-efficacy, illness beliefs, and self-care were repeated at baseline, three months, and nine months. MTH effects were based on the group by time interactions in hierarchical linear models and effect sizes with 95% confidence intervals (CIs). Interviews with MTH participants explored the perceived effects of MTH on diabetes self-management. RESULTS: Eighty-one participants were randomized to the intervention (n = 45) and standard care (n = 36). Significant group by time effects were observed for five out of seven self-efficacy subscales. Effect sizes were large, particularly at nine months. Interaction effects for illness beliefs and self-care were non-significant, but effect sizes and confidence intervals suggested MTH may positively affect diet and exercise. In interviews, MTH was associated with increased awareness, motivation, and a greater sense of security. Improved self-monitoring and diet were reported by some participants. DISCUSSION: MTH empowers people with diabetes to manage their condition and may influence self-care. Future MTH research would benefit from investigating behavioural mechanisms and determining patient profiles predictive of greater behavioural effectiveness

Complex Care Management Program Overview

This report includes brief updates on various forms of complex care management including: Aetna - Medicare Advantage Embedded Case Management ProgramBrigham and Women's Hospital - Care Management ProgramIndependent Health - Care PartnersIntermountain Healthcare and Oregon Health and Science University - Care Management PlusJohns Hopkins University - Hospital at HomeMount Sinai Medical Center -- New York - Mount Sinai Visiting Doctors Program/ Chelsea-Village House Calls ProgramsPartners in Care Foundation - HomeMeds ProgramPrinceton HealthCare System - Partnerships for PIECEQuality Improvement for Complex Chronic Conditions - CarePartner ProgramSenior Services - Project Enhance/EnhanceWellnessSenior Whole Health - Complex Care Management ProgramSumma Health/Ohio Department of Aging - PASSPORT Medicaid Waiver ProgramSutter Health - Sutter Care Coordination ProgramUniversity of Washington School of Medicine - TEAMcar

A mHealth Architecture for Diabetes Self-Management System

Recent advancement in smartphones coupled with the proliferation of data connectivity has resulted in increased interest and unprecedented growth in mobile applications for diabetes self-management. Nevertheless, a review of the literature highlights critical gaps between available functionality and user requirements and expectations. In this paper, we present a mHealth architecture of diabetes self-management system. The architecture has the following functionalities: automated data-entry through the use of wireless sensors; adherence to clinical guidelines; advanced statistical techniques for diabetes modeling and prediction; and advanced charting capabilities for data presentation and quality control

Blood pressure monitoring in high-risk pregnancy to improve the detection and monitoring of hypertension (the BUMP 1 and 2 trials): protocol for two linked randomised controlled trials.

INTRODUCTION: Self-monitoring of blood pressure (BP) in pregnancy could improve the detection and management of pregnancy hypertension, while also empowering and engaging women in their own care. Two linked trials aim to evaluate whether BP self-monitoring in pregnancy improves the detection of raised BP during higher risk pregnancies (BUMP 1) and whether self-monitoring reduces systolic BP during hypertensive pregnancy (BUMP 2). METHODS AND ANALYSES: Both are multicentre, non-masked, parallel group, randomised controlled trials. Participants will be randomised to self-monitoring with telemonitoring or usual care. BUMP 1 will recruit a minimum of 2262 pregnant women at higher risk of pregnancy hypertension and BUMP 2 will recruit a minimum of 512 pregnant women with either gestational or chronic hypertension. The BUMP 1 primary outcome is the time to the first recording of raised BP by a healthcare professional. The BUMP 2 primary outcome is mean systolic BP between baseline and delivery recorded by healthcare professionals. Other outcomes will include maternal and perinatal outcomes, quality of life and adverse events. An economic evaluation of BP self-monitoring in addition to usual care compared with usual care alone will be assessed across both study populations within trial and with modelling to estimate long-term cost-effectiveness. A linked process evaluation will combine quantitative and qualitative data to examine how BP self-monitoring in pregnancy is implemented and accepted in both daily life and routine clinical practice. ETHICS AND DISSEMINATION: The trials have been approved by a Research Ethics Committee (17/WM/0241) and relevant research authorities. They will be published in peer-reviewed journals and presented at national and international conferences. If shown to be effective, BP self-monitoring would be applicable to a large population of pregnant women. TRIAL REGISTRATION NUMBER: NCT03334149.This work is funded from a National Institute for Health Research (NIHR) Programme grant for applied research (RP-PG- 1209-10051) and an NIHR Professorship awarded to RJM (NIHR-RP- R2- 12-015). RJM and KLT receive funding from the National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care Oxford at Oxford Health NHS Foundation Trust. JS is a National Institute for Health Research (NIHR) Senior Investigator and supported by the National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care South London (NIHR CLAHRC South London) at King’s College Hospital NHS Foundation Trust. Service support costs will be administered through the NIHR Clinical Research Network

An Evaluation of Methods to Assess Whether Health Information Technology-Based Tools Improve Weight Loss Measures in Bariatric Surgery Patients

Obesity is a chronic and growing disease defined by weighing 20% or more than the ideal, or having a body mass index (BMI) of 30 kg/m2 or more. While natural weight loss is available, many patients are choosing weight loss surgery (i.e., bariatric surgery) as an alternative to lose weight and reduce their risks for comorbidities such as diabetes, heart disease, and sleep apnea. Tools and resources for post-surgical support in the bariatric surgery community have been limited and, in the past, most tools and resources for weight loss have focused on non-surgical weight loss communities; as such, analysis methods for measuring success in this population have not been clearly developed and tested. This research proposes and evaluates analysis methods that may be used in such studies. These analysis methods are evaluated using data from the Weight and Exercise Lifestyle Support study at Baystate Medical Center in Springfield, MA. In this study, a group of participants (n = 6) approved for bariatric surgery were followed by the research team starting roughly one month before surgery through three months after surgery. Participants received pedometers and weight scales, and access to an online patient portal where they could review their physical activity levels, and receive support from others in the study and an exercise consultant. Data collected included pre- and post-study dietary and exercise self-efficacy levels, self-reported and objective physical activity measures, self-reported dietary adherence, device usage, and usability and satisfaction with the program. This research evaluates whether the proposed measures can help determine the presence and nature of the relationships between the aforementioned variables. If these measures prove to be useful, they can be used in future interventions that use technology to support post-surgical weight loss communities

Blood pressure monitoring in high-risk pregnancy to improve the detection and monitoring of hypertension (the BUMP 1 and 2 trials): protocol for two linked randomised controlled trials.

INTRODUCTION: Self-monitoring of blood pressure (BP) in pregnancy could improve the detection and management of pregnancy hypertension, while also empowering and engaging women in their own care. Two linked trials aim to evaluate whether BP self-monitoring in pregnancy improves the detection of raised BP during higher risk pregnancies (BUMP 1) and whether self-monitoring reduces systolic BP during hypertensive pregnancy (BUMP 2). METHODS AND ANALYSES: Both are multicentre, non-masked, parallel group, randomised controlled trials. Participants will be randomised to self-monitoring with telemonitoring or usual care. BUMP 1 will recruit a minimum of 2262 pregnant women at higher risk of pregnancy hypertension and BUMP 2 will recruit a minimum of 512 pregnant women with either gestational or chronic hypertension. The BUMP 1 primary outcome is the time to the first recording of raised BP by a healthcare professional. The BUMP 2 primary outcome is mean systolic BP between baseline and delivery recorded by healthcare professionals. Other outcomes will include maternal and perinatal outcomes, quality of life and adverse events. An economic evaluation of BP self-monitoring in addition to usual care compared with usual care alone will be assessed across both study populations within trial and with modelling to estimate long-term cost-effectiveness. A linked process evaluation will combine quantitative and qualitative data to examine how BP self-monitoring in pregnancy is implemented and accepted in both daily life and routine clinical practice. ETHICS AND DISSEMINATION: The trials have been approved by a Research Ethics Committee (17/WM/0241) and relevant research authorities. They will be published in peer-reviewed journals and presented at national and international conferences. If shown to be effective, BP self-monitoring would be applicable to a large population of pregnant women. TRIAL REGISTRATION NUMBER: NCT03334149

Crossing Boundaries: Patients’ Experiences of using a Diabetes eHealth System

This thesis is concerned with exploring patients’ experiences of using a diabetes eHealth system. The context of the study is the growth of interest in eHealth systems that focus on patient needs, alongside increasing home computer use and the rising incidence of chronic diseases, such as diabetes. I aim in this thesis to make a novel contribution to knowledge about how eHealth technology is experienced by patients with diabetes. The study takes the form of a qualitative enquiry into the use of a diabetes eHealth system by a group of patients and their healthcare practitioners at a primary care general practice in Northern England. Using symbolic interactionism as a methodological perspective and taking elements from grounded theory the study produces a theoretical framework based on a thematic analysis of participants’ descriptions of their experiences of using the eHealth system. A diabetes eHealth system was designed and built for the study, and 38 patients were recruited from a single GP practice using purposive sampling. Participants used the system for six months and were interviewed at the beginning, middle and end of the study period. Issues of surveillance, automation, endorsement and interaction influenced use and experiences of the system. Results from the study indicate that participants use and perceive the eHealth system as part of their diabetes management experience. My thesis is that the eHealth system is a boundary structure through which boundary objects, such as electronically formatted blood glucose readings, are created and shared across different social worlds. The eHealth system crosses the boundary between two spheres of an individual’s diabetes management experience, the personal sphere of self-management, and the external sphere of seeking and receiving support from medical experts and others with diabetes. The co-location of these two spheres exposes participants to scrutiny but also opens up new possibilities for collaboration and learning

Innovation in Diabetes - Ideas and Initiatives

A collection of multiple reports on MyDiabetesMyWay (MDMW). Included reports are: MyDiabetesMyWay Patient Portal; MyDiabetesMyWay e-learning hub (Moodle) ; SCI-diabetes/ MDMW Communication Portal- Tools for Remote Communication/ Consultation; Risk Modelling for Care Planning- integration into Informatics Dashboard for Clinical Use; Access to Chronic Medication Service (CMS) and Pharmaceutical Care Planning Medication and Lifestyle Coaching; Multi-media Diabetes Resources; Promoting Diabetes Education; Tele-Pharmacy; Understanding my diabetes medication; Pharmaceutical Industry and Medical Technology (PIMTs); An on-line and interactive education system for young people with type 1 diabetes to understand self-management for their lifestyle; Proof of Concept study to deliver personalised use of information to support diabetes management and behaviour change; right information; right time; right way; Virtual promotion of physical activity for people with type 2 diabetes; Remote foot ulcer management: RAPID (Reducing Amputation in People with Diabetes); Diabetic foot screening – development of technology; Portable capillary HbA1c testing for diagnosis and self-monitoring of diabetes; Possibility of mobile phone adaption for testing; Web app for decision support for patients with type 1 diabetes undertaking sport or exercise; Online level 3 structured education for type 1 diabetes; My Diabetes My Way electronic personal health record – uptake at scale; TeleClinics for diabetes; Develop a diabetes sim / game in which the main character has diabetes. Young people need to keep the sim / character alive as they face the various challenges of life or the game; Development of meaningful automated glucose data to in-patient clinical areas; In-patient Care: Integrated eHealth solutions to improve patient care, safety and outcomes; Innovative model of care to address the 'process of care' in managing people with long term conditions; Young Persons Remote Clinic Consultation; Maximise use of the data to support self-management of patients with co-morbidities; Virtual practice outreach and education in primary care