Carmelo Velardo

Dr. Carmelo Velardo

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 March 2018 in JMIR mHealth and uHealth
Verified
Journal Article
Open access
LMLucy MacKillop
Lucy MacKillop
JHJane Elizabeth Hirst
Jane Elizabeth Hirst
KBKaty Jane Bartlett
Katy Jane Bartlett
JBJacqueline Susan Birks
Jacqueline Susan Birks
LCLei Clifton
Lei Clifton
LTLionel Tarassenko
Lionel Tarassenko
Mobile and tablet apps, ubiquitous and pervasive computing, wearable computing and domotics for health.

7 March 2017 in Journal of Medical Internet Research
Verified
Journal Article
Open access
SSSyed Ahmar Shah
Syed Ahmar Shah
CVCarmelo Velardo
Carmelo Velardo
AFAndrew Farmer
Andrew Farmer
LTLionel Tarassenko
Lionel Tarassenko
Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet

3 May 2017 in Journal of Medical Internet Research
Verified
Journal Article
Open access
AFAndrew Farmer
Andrew Farmer
VWVeronika Williams
Veronika Williams
CVCarmelo Velardo
Carmelo Velardo
SSSyed Ahmar Shah
Syed Ahmar Shah
LYLy-Mee Yu
Ly-Mee Yu
LTLionel Tarassenko
Lionel Tarassenko
Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet

9 November 2016 in Journal of Medical Internet Research
Verified
Journal Article
Open access
WMWai-Kit Ming
Wai-Kit Ming
LMLucy MacKillop
Lucy MacKillop
AFAndrew J Farmer
Andrew J Farmer
LLLise Loerup
Lise Loerup
KBKaty Bartlett
Katy Bartlett
JHJane E Hirst
Jane E Hirst
Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet

20 February 2017 in BMC Medical Informatics and Decision Making
Verified
Journal Article
Open access
PDF file
OTon behalf of the EDGE COPD Team
on behalf of the EDGE COPD Team
CVCarmelo Velardo
Carmelo Velardo
SSSyed Ahmar Shah
Syed Ahmar Shah
OGOliver Gibson
Oliver Gibson
GCGari D. Clifford
Gari D. Clifford
LTLionel Tarassenko
Lionel Tarassenko
Recent telehealth studies have demonstrated minor impact on patients affected by long-term conditions. The use of technology does not guarantee the compliance required for sustained collection of high-quality symptom and physiological data. Remote monitoring alone is not sufficient for successful disease management. A patient-centred design approach is needed in order to allow the personalisation of interventions and encourage the completion of daily self-management tasks. A digital health system was designed to support patients suffering from chronic obstructive pulmonary disease in self-managing their condition. The system includes a mobile application running on a consumer tablet personal computer and a secure backend server accessible to the health professionals in charge of patient management. The patient daily routine included the completion of an adaptive, electronic symptom diary on the tablet, and the measurement of oxygen saturation via a wireless pulse oximeter. The design of the system was based on a patient-centred design approach, informed by patient workshops. One hundred and ten patients in the intervention arm of a randomised controlled trial were subsequently given the tablet computer and pulse oximeter for a 12-month period. Patients were encouraged, but not mandated, to use the digital health system daily. The average used was 6.0 times a week by all those who participated in the full trial. Three months after enrolment, patients were able to complete their symptom diary and oxygen saturation measurement in less than 1 m 40s (96% of symptom diaries). Custom algorithms, based on the self-monitoring data collected during the first 50 days of use, were developed to personalise alert thresholds. Strategies and tools aimed at refining a digital health intervention require iterative use to enable convergence on an optimal, usable design. ‘Continuous improvement’ allowed feedback from users to have an immediate impact on the design of the system (e.g., collection of quality data), resulting in high compliance with self-monitoring over a prolonged period of time (12-month). Health professionals were prompted by prioritisation algorithms to review patient data, which led to their regular use of the remote monitoring website throughout the trial. Trial registration: ISRCTN40367841 . Registered 17/10/2012.

18 June 2015 in BMC Medical Informatics and Decision Making
Verified
Journal Article
Open access
PDF file
MHMaxine Hardinge
Maxine Hardinge
HRHeather Rutter
Heather Rutter
CVCarmelo Velardo
Carmelo Velardo
SSSyed Ahmar Shah
Syed Ahmar Shah
VWVeronika Williams
Veronika Williams
AFAndrew Farmer
Andrew Farmer
Self-management strategies have the potential to support patients with chronic obstructive pulmonary disease (COPD). Telehealth interventions may have a role in delivering this support along with the opportunity to monitor symptoms and physiological variables. This paper reports findings from a six-month, clinical, cohort study of COPD patients’ use of a mobile telehealth based (mHealth) application and how individually determined alerts in oxygen saturation levels, pulse rate and symptoms scores related to patient self-initiated treatment for exacerbations. The development of the mHealth intervention involved a patient focus group and multidisciplinary team of researchers, engineers and clinicians. Individual data thresholds to set alerts were determined, and the relationship to exacerbations, defined by the initiation of stand-by medications, was measured. The sample comprised 18 patients (age range of 50–85 years) with varied levels of computer skills. Patients identified no difficulties in using the mHealth application and used all functions available. 40 % of exacerbations had an alert signal during the three days prior to a patient starting medication. Patients were able to use the mHealth application to support self- management, including monitoring of clinical data. Within three months, 95 % of symptom reporting sessions were completed in less than 100 s. Home based, unassisted, daily use of the mHealth platform is feasible and acceptable to people with COPD for reporting daily symptoms and medicine use, and to measure physiological variables such as pulse rate and oxygen saturation. These findings provide evidence for integrating telehealth interventions with clinical care pathways to support self-management in COPD.