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Dive into the research topics where Heather Rutter is active.

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Featured researches published by Heather Rutter.


BMJ Open | 2014

Self-management support using an Internet-linked tablet computer (the EDGE platform)-based intervention in chronic obstructive pulmonary disease: protocol for the EDGE-COPD randomised controlled trial

Andrew Farmer; Christy Toms; Maxine Hardinge; Veronika Williams; Heather Rutter; Lionel Tarassenko

Introduction The potential for telehealth-based interventions to provide remote support, education and improve self-management for long-term conditions is increasingly recognised. This trial aims to determine whether an intervention delivered through an easy-to-use tablet computer can improve the quality of life of patients with chronic obstructive pulmonary disease (COPD) by providing personalised self-management information and education. Methods and analysis The EDGE (sElf management anD support proGrammE) for COPD is a multicentre, randomised controlled trial designed to assess the efficacy of an Internet-linked tablet computer-based intervention (the EDGE platform) in improving quality of life in patients with moderate to very severe COPD compared with usual care. Eligible patients are randomly allocated to receive the tablet computer-based intervention or usual care in a 2:1 ratio using a web-based randomisation system. Participants are recruited from respiratory outpatient clinics and pulmonary rehabilitation courses as well as from those recently discharged from hospital with a COPD-related admission and from primary care clinics. Participants allocated to the tablet computer-based intervention complete a daily symptom diary and record clinical symptoms using a Bluetooth-linked pulse oximeter. Participants allocated to receive usual care are provided with all the information given to those allocated to the intervention but without the use of the tablet computer or the facility to monitor their symptoms or physiological variables. The primary outcome of quality of life is measured using the St Georges Respiratory Questionnaire for COPD patients (SGRQ-C) baseline, 6 and 12 months. Secondary outcome measures are recorded at these intervals in addition to 3 months. Ethics and dissemination The Research Ethics Committee for Berkshire—South Central has provided ethical approval for the conduct of the study in the recruiting regions. The results of the study will be disseminated through peer review publications and conference presentations. Trial registration Current controlled trials ISRCTN40367841.


Journal of Medical Internet Research | 2017

Self-Management Support Using a Digital Health System Compared With Usual Care for Chronic Obstructive Pulmonary Disease: Randomized Controlled Trial

Andrew Farmer; Veronika Williams; Carmelo Velardo; Syed Ahmar Shah; Ly-Mee Yu; Heather Rutter; Louise Jones; Nicola Williams; Carl Heneghan; Jonathan Price; Maxine Hardinge; Lionel Tarassenko

Background We conducted a randomized controlled trial of a digital health system supporting clinical care through monitoring and self-management support in community-based patients with moderate to very severe chronic obstructive pulmonary disease (COPD). Objective The aim of this study was to determine the efficacy of a fully automated Internet-linked, tablet computer-based system of monitoring and self-management support (EDGE‚ sElf-management anD support proGrammE) in improving quality of life and clinical outcomes. Methods We compared daily use of EDGE with usual care for 12 months. The primary outcome was COPD-specific health status measured with the St George’s Respiratory Questionnaire for COPD (SGRQ-C). Results A total of 166 patients were randomized (110 EDGE, 56 usual care). All patients were included in an intention to treat analysis. The estimated difference in SGRQ-C at 12 months (EDGE−usual care) was −1.7 with a 95% CI of −6.6 to 3.2 (P=.49). The relative risk of hospital admission for EDGE was 0.83 (0.56-1.24, P=.37) compared with usual care. Generic health status (EQ-5D, EuroQol 5-Dimension Questionnaire) between the groups differed significantly with better health status for the EDGE group (0.076, 95% CI 0.008-0.14, P=.03). The median number of visits to general practitioners for EDGE versus usual care were 4 versus 5.5 (P=.06) and to practice nurses were 1.5 versus 2.5 (P=.03), respectively. Conclusions The EDGE clinical trial does not provide evidence for an effect on COPD-specific health status in comparison with usual care, despite uptake of the intervention. However, there appears to be an overall benefit in generic health status; and the effect sizes for improved depression score, reductions in hospital admissions, and general practice visits warrants further evaluation and could make an important contribution to supporting people with COPD. Trial registration International Standard Randomized Controlled Trial Number (ISRCTN): 40367841; http://www.isrctn.com/ISRCTN40367841 (Archived by WebCite at http://www.webcitation.org/6pmfIJ9KK)


international conference of the ieee engineering in medicine and biology society | 2014

Personalized alerts for patients with COPD using pulse oximetry and symptom scores

Syed Ahmar Shah; Carmelo Velardo; Oliver J. Gibson; Heather Rutter; Andrew Farmer; Lionel Tarassenko

Chronic Obstructive Pulmonary Disease (COPD) is a progressive chronic disease, predicted to become the third leading cause of death by 2030. COPD patients are at risk of sudden and acute worsening of symptoms, reducing the patients quality of life and leading to hospitalization. We present the results of a pilot study with 18 COPD patients using an m-Health system, based on a tablet computer and pulse oximeter, for a period of six months. For prioritizing patients for clinical review, a data-driven approach has been developed which generates personalized alerts using the electronic symptom diary, pulse rate, blood oxygen saturation, and respiratory rate derived from oximetry data. This work examines the advantages of multivariate novelty detection over univariate approaches and shows the benefit of including respiratory rate as a predictor.


BMC Medical Informatics and Decision Making | 2015

Using a mobile health application to support self-management in chronic obstructive pulmonary disease: a six-month cohort study

Maxine Hardinge; Heather Rutter; Carmelo Velardo; Syed Ahmar Shah; Veronika Williams; Lionel Tarassenko; Andrew Farmer


BMC Medical Informatics and Decision Making | 2017

Digital health system for personalised COPD long-term management

Carmelo Velardo; Syed Ahmar Shah; Oliver J. Gibson; Gari D. Clifford; Carl Heneghan; Heather Rutter; Andrew Farmer; Lionel Tarassenko


european signal processing conference | 2014

Automatic Generation of Personalised Alert Thresholds for Patients with COPD

Carmelo Velardo; Syed Ahmar Shah; Oliver J. Gibson; Heather Rutter; Andrew Farmer; Lionel Tarassenko


International Journal of Integrated Care | 2013

Exploring patients’ perspectives of an mHealth application: a qualitative study as part of EDGE COPD

Veronika Williams; Heather Rutter; Toms Christy; Lionel Tarassenko; Andrew Farmer


American Journal of Respiratory and Critical Care Medicine | 2014

Using A Mobile Health Application To Support Self-Management In COPD - Development Of Alert Thresholds Derived From Variability In Self-Reported And Measured Clinical Variables

F M Hardinge; Heather Rutter; Carmelo Velardo; Christy Toms; Veronika Williams; Lionel Tarassenko; Andrew Farmer; Team Edgecopd.


BMC Medical Informatics and Decision Making | 2015

Using a mobile health application to support self-management in chronic obstructive pulmonary disease: A six-month cohort study eHealth/ telehealth/ mobile health systems, 'AC-63541e8b0e2a0d7170bcd513bb89d0cf

Maxine Hardinge; Heather Rutter; Carmelo Velardo; Syed Ahmar Shah; Veronika Williams; Lionel Tarassenko; Andrew Farmer


American Journal of Respiratory and Critical Care Medicine | 2014

Using A Mobile Health Application To Support Self-Management In COPD - A Cohort Feasibility Study

F M Hardinge; Heather Rutter; Veronika Williams; Christy Toms; Carmelo Velardo; Lionel Tarassenko; Andrew Farmer; Team Edgecopd.

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Gari D. Clifford

Georgia Institute of Technology

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