Mark Hawley

Prof. Mark Hawley


Research Focus & Metrics

Academic Career Length

43Years (1984-Present)

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

Representative Publications

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22 July 2019 in BMC Geriatrics
Verified
Journal Article
Open access
PDF file
SASarah Abdi
Sarah Abdi
ASAlice Spann
Alice Spann
JBJacinta Borilovic
Jacinta Borilovic
LWLuc De Witte
Luc De Witte
MHMark Hawley
Mark Hawley
The number of older people with unmet care and support needs is increasing substantially due to the challenges facing the formal and informal care system in the United Kingdom. Addressing these unmet needs is becoming one of the urgent public health priorities. In order to develop effective solutions to address some of these needs, it is important first to understand the care and support needs of older people. A scoping review was conducted, using the Arksey and O’Malley original and enhanced framework, to understand the care and support needs of older people, focusing on those living at home with chronic conditions in the UK. The search was conducted using five electronic data bases, grey literature and reference list checks. The WHO International Classification of Functioning, Disability and Health (ICF) framework was used to analyse and categorise the literature findings. Forty studies were included in the final analysis- 32 from academic literature and 8 from grey literature. The review highlighted that older adults faced a range of physical, social and psychological challenges due to living with chronic conditions and required care and support in three main areas: 1) social activities and relationships; 2) psychological health; and 3) activities related to mobility, self-care and domestic life. The review also highlighted that many older people demonstrated a desire to cope with their illness and maintain independence, however, environmental factors interfered with these efforts including: 1) lack of professional advice on self-care strategies; 2) poor communication and coordination of services; and 3) lack of information on services such as care pathways. A gap in the knowledge was also identified about the care and support needs of two groups within the older population: 1) older workers; and 2) older carers. The review highlighted that older people living with chronic conditions have unmet care needs related to their physical and psychological health, social life, as well as the environment in which they live and interact. Findings of this review also emphasized the importance of developing care models and support services based around the needs of older people.

20 June 2013 in Journal of Advanced Nursing
Verified
Journal Article
Closed access
PDF file
LBLiz Brewster
Liz Brewster
GMGail Mountain
Gail Mountain
BWBridgette Wessels
Bridgette Wessels
CKCiara Kelly
Ciara Kelly
MHMark Hawley
Mark Hawley

28 May 2019 in JMIR mHealth and uHealth
Verified
Journal Article
Open access
TATourkiah Alessa
Tourkiah Alessa
MHMark Hawley
Mark Hawley
EHEmma Hock
Emma Hock
LWLuc De Witte
Luc De Witte
Mobile and tablet apps, ubiquitous and pervasive computing, wearable computing and domotics for health.

23 July 2018 in JMIR mHealth and uHealth
Verified
Journal Article
Open access
TATourkiah Alessa
Tourkiah Alessa
SASarah Abdi
Sarah Abdi
MHMark Hawley
Mark Hawley
LWLuc De Witte
Luc De Witte
Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet #Preprint #PeerReviewMe: Warning: This is a unreviewed preprint. Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn. Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period. Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author). Background: Hypertension is a chronic disease that is considered to be a public health problem and requires efforts by patients to manage themselves. The global growth in the use of smartphones and tablets has been accompanied by the increased use of health applications. Many of these applications (‘apps’) support the self-management of hypertension, so they have potential benefits for lowering blood pressure (BP). Yet, a synthesis of the evidence for their effectiveness, their usability and patients’ satisfaction with their use in this population has not been conducted. Objective: A systematic review was conducted to assess the effectiveness of apps in lowering BP, as well as their usability and patients’ satisfaction with their use. Methods: We conducted searches in the following databases: MEDLINE (OVID), EMBASE (OVID), PsycINFO (OVID), CINAHL, the Cochrane Central Register of Controlled Trials (CENTRAL, The Cochrane Library), IEEEXplore ASSIAN, Google Scholar and the main Arabic databases Al Manhal, AskZad and Mandumah. We looked for studies that used apps in the self-management of hypertension from 2008–2016. We also checked the reference lists of the review papers and all the primary studies for additional references. Results: A total of 21 studies with a total of 3112 participants were included in the review. Of the 14 studies that assessed effectiveness of the apps in lowering BP, 10 studies (6 RCTs and 4 nonrandomised studies) reported that using the apps led to significant decreases in BP and seemed to be effective in the self-management of hypertension. Of these 10, only 2 RCTs and 3 nonrandomised studies had a low–moderate risk of bias. The results of this review are inconclusive regarding which combinations of functionalities would be most effective in lowering BP because of variation in the studies’ quality, but the data suggest that apps incorporating more comprehensive functionalities are likely to be more effective. In all the studies that assessed the usability of the apps and users’ acceptance of them, all the apps seemed to be accepted and easy to use. Conclusions: Most of the studies reported that apps might be effective in lowering BP and are accepted by users. Yet, the findings should be interpreted with caution, as most of the studies had a high risk of bias. More well-designed, large-scale studies are required to evaluate the real effect of using apps in lowering BP and to identify the most effective functionality combinations for lowering BP.

13 February 2019 in Journal of Medical Internet Research
Verified
Journal Article
Open access
JAJacob A Andrews
Jacob A Andrews
LBLaura Je Brown
Laura Je Brown
MHMark Hawley
Mark Hawley
AAArlene J Astell
Arlene J Astell
Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet

3 June 2020 in JMIR mHealth and uHealth
Verified
Journal Article
Open access
CBClaire L Bentley
Claire L Bentley
LPLauren Powell
Lauren Powell
SPStephen Potter
Stephen Potter
JPJack Parker
Jack Parker
GMGail A Mountain
Gail A Mountain
MHMark Hawley
Mark Hawley
Background: Chronic obstructive pulmonary disease (COPD) is highly prevalent and significantly affects the daily functioning of patients. Self-management strategies, including increasing physical activity, can help people with COPD have better health and a better quality of life. Digital mobile health (mHealth) techniques have the potential to aid the delivery of self-management interventions for COPD. We developed an mHealth intervention (Self-Management supported by Assistive, Rehabilitative, and Telehealth technologies-COPD [SMART-COPD]), delivered via a smartphone app and an activity tracker, to help people with COPD maintain (or increase) physical activity after undertaking pulmonary rehabilitation (PR). Objective: This study aimed to determine the feasibility and acceptability of using the SMART-COPD intervention for the self-management of physical activity and to explore the feasibility of conducting a future randomized controlled trial (RCT) to investigate its effectiveness. Methods: We conducted a randomized feasibility study. A total of 30 participants with COPD were randomly allocated to receive the SMART-COPD intervention (n=19) or control (n=11). Participants used SMART-COPD throughout PR and for 8 weeks afterward (ie, maintenance) to set physical activity goals and monitor their progress. Questionnaire-based and physical activity–based outcome measures were taken at baseline, the end of PR, and the end of maintenance. Participants, and health care professionals involved in PR delivery, were interviewed about their experiences with the technology. Results: Overall, 47% (14/30) of participants withdrew from the study. Difficulty in using the technology was a common reason for withdrawal. Participants who completed the study had better baseline health and more prior experience with digital technology, compared with participants who withdrew. Participants who completed the study were generally positive about the technology and found it easy to use. Some participants felt their health had benefitted from using the technology and that it assisted them in achieving physical activity goals. Activity tracking and self-reporting were both found to be problematic as outcome measures of physical activity for this study. There was dissatisfaction among some control group members regarding their allocation. Conclusions: mHealth shows promise in helping people with COPD self-manage their physical activity levels. mHealth interventions for COPD self-management may be more acceptable to people with prior experience of using digital technology and may be more beneficial if used at an earlier stage of COPD. Simplicity and usability were more important for engagement with the SMART-COPD intervention than personalization; therefore, the intervention should be simplified for future use. Future evaluation will require consideration of individual factors and their effect on mHealth efficacy and use; within-subject comparison of step count values; and an opportunity for control group participants to use the intervention if an RCT were to be carried out. Sample size calculations for a future evaluation would need to consider the high dropout rates.