Heather Elphick

Dr. Heather Elphick


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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31 January 2011 in Pediatric Pulmonology
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Journal Article
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FAFarah Al-khalidi
Farah Al-khalidi
RSR. Saatchi
R. Saatchi
DBD. Burke
D. Burke
HEHeather Elphick
Heather Elphick
STS. Tan
S. Tan

16 September 2022 in Computers in Biology and Medicine
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Journal Article
Closed access
SXShuting Xu
Shuting Xu
Oliver FaustOliver Faust
Oliver Faust
SSSilvia Seoni
Silvia Seoni
Subrata ChakrabortySubrata Chakraborty
Subrata Chakraborty
PBPrabal Datta Barua
Prabal Datta Barua
U Rajendra AcharyaU Rajendra Acharya
U Rajendra Acharya

1 October 2018 in Health Technology Assessment
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Journal Article
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BBBryony Beresford
Bryony Beresford
CMCatriona McDaid
Catriona McDaid
APAdwoa Parker
Adwoa Parker
ASArabella Scantlebury
Arabella Scantlebury
GSGemma Spiers
Gemma Spiers
MTMegan Thomas
Megan Thomas
Background: There is uncertainty about the most appropriate ways to manage non-respiratory sleep disturbances in children with neurodisabilities (NDs).Objective: To assess the clinical effectiveness and safety of NHS-relevant pharmacological and non-pharmacological interventions to manage sleep disturbance in children and young people with NDs, who have non-respiratory sleep disturbance.Data sources: Sixteen databases, including The Cochrane Central Register of Controlled Trials, EMBASE and MEDLINE, were searched up to February 2017, and grey literature searches and hand-searches were conducted.Review methods: For pharmacological interventions, only randomised controlled trials (RCTs) were included. For non-pharmacological interventions, RCTs, non-randomised controlled studies and before-and-after studies were included. Data were extracted and quality assessed by two researchers. Meta-analysis and narrative synthesis were undertaken. Data on parents’ and children’s experiences of receiving a sleep disturbance intervention were collated into themes and reported narratively.Results: Thirty-nine studies were included. Sample sizes ranged from 5 to 244 participants. Thirteen RCTs evaluated oral melatonin. Twenty-six studies (12 RCTs and 14 before-and-after studies) evaluated non-pharmacological interventions, including comprehensive parent-directed tailored (n = 9) and non-tailored (n = 8) interventions, non-comprehensive parent-directed interventions (n = 2) and other non-pharmacological interventions (n = 7). All but one study were reported as having a high or unclear risk of bias, and studies were generally poorly reported. There was a statistically significant increase in diary-reported total sleep time (TST), which was the most commonly reported outcome for melatonin compared with placebo [pooled mean difference 29.6 minutes, 95% confidence interval (CI) 6.9 to 52.4 minutes;p = 0.01]; however, statistical heterogeneity was extremely high (97%). For the single melatonin study that was rated as having a low risk of bias, the mean increase in TST was 13.2 minutes and the lower CI included the possibility of reduced sleep time (95% CI –13.3 to 39.7 minutes). There was mixed evidence about the clinical effectiveness of the non-pharmacological interventions. Sixteen studies included interventions that investigated the feasibility, acceptability and/or parent or clinician views of sleep disturbance interventions. The majority of these studies reported the ‘family experience’ of non-pharmacological interventions.Limitations: Planned subgroup analysis was possible in only a small number of melatonin trials.Conclusions: There is some evidence of benefit for melatonin compared with placebo, but the degree of benefit is uncertain. There are various types of non-pharmacological interventions for managing sleep disturbance; however, clinical and methodological heterogeneity, few RCTs, a lack of standardised outcome measures and risk of bias means that it is not possible to draw conclusions with regard to their effectiveness. Future work should include the development of a core outcome, further evaluation of the clinical effectiveness and cost-effectiveness of pharmacological and non-pharmacological interventions and research exploring the prevention of, and methods for identifying, sleep disturbance. Research mapping current practices and exploring families’ understanding of sleep disturbance and their experiences of obtaining help may facilitate service provision development.Study registration: This study is registered as PROSPERO CRD42016034067.Funding: The National Institute for Health Research Health Technology Assessment programme.

27 May 2020 in Pediatric Pulmonology
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Journal Article
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WDWilliam Daw
William Daw
RKRena Kaur
Rena Kaur
MDMollie Delaney
Mollie Delaney
HEHeather Elphick
Heather Elphick

29 June 2020 in Journal of Medical Engineering & Technology
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Journal Article
Closed access
MWMatt Willox
Matt Willox
PMPeter Metherall
Peter Metherall
KJKatherine Jeays-Ward
Katherine Jeays-Ward
AMAvril D. McCarthy
Avril D. McCarthy
NBNicki Barker
Nicki Barker
HEHeather Elphick
Heather Elphick
Non-invasive ventilation (NIV) is assisted mechanical ventilation delivered via a facemask for people with chronic conditions that affect breathing. NIV is most commonly delivered via an interface (mask) covering the nose (nasal mask) or the nose and mouth (oronasal mask). The number of children in the UK requiring NIV is currently estimated to be around 5000. Mass-produced masks are available for both the adult and paediatric markets but masks that fit well are difficult to find for children who are small or have asymmetrical facial features. A good conforming fit between the mask and the patient’s face to minimise unintentional air leakage is essential to deliver the treatment effectively; most ventilators will trigger an alarm requiring action if such leakage is detected. We present an innovative use of 3D scanning and manufacturing technologies to deliver novel mask-face interfaces to optimise mask fit to the needs of individual patients. Ahead of planned user trials with paediatric patients, the project team trialled the feasibility of the process of creating and printing bespoke masks from 3D scan data and carried out testing of the masks in adult volunteers to select the strongest design concept for the paediatric trial. The evaluation of the process of designing a bespoke mask from scan data, arranging for its manufacture and carrying out user testing has been invaluable in gaining knowledge and discovering the pitfalls and timing bottlenecks in the processes. This allowed the team to iteratively refine the techniques and methods involved, informing user trials later on in the project. It has also provided indicative cost estimates for 3D printed mask prototype components which are useful in project decision making and trial planning. The value of the process extends to considerations for future implementation of the process within a clinical pathway.

3 January 2019 in Respiration
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Journal Article
Closed access
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HEHeather Elphick
Heather Elphick
AAAbdulkadir Hamidu Alkali
Abdulkadir Hamidu Alkali
RKRuth K. Kingshott
Ruth K. Kingshott
DBDerek Burke
Derek Burke
RSReza Saatchi
Reza Saatchi
Background: Respiratory rate is a vital physiological measurement used in the immediate assessment of unwell children and adults. Convenient electronic devices exist for the measurement of pulse, blood pressure, oxygen saturation, and temperature. Although devices which measure respiratory rate exist, none have entered everyday clinical practice for acute assessment of children and adults. An accurate and practical device which has no physical contact with the patient is important to ensure readings are not affected by distress caused by the assessment method. Objective: The aim of this study was to evaluate the use of a thermal imaging method to monitor the respiratory rate in children and adults. Methods: Facial thermal images of adult volunteers and children undergoing elective polysomnography were included. Respiration was recorded for at least 2 min with the camera positioned 1 m from the subject’s face. Values obtained using the thermal imaging camera were compared with those obtained from contact methods such as the nasal thermistor, respiratory inductance plethysmography, nasal airflow, and end tidal CO2. Results: A total of 61 subjects, including 41 adults (age range 27–46 years) and 20 children (age range 0.5–18 years) were enrolled. The correlation between the respiratory rate measured using thermal imaging and the contact method was r = 0.94. Sequential refinements to the thermal imaging algorithms resulted in the ability to perform real-time measurements and an improvement of the correlation to r = 0.995. Conclusion: This exploratory study shows that thermal imaging-derived respiratory rates in children and adults correlate closely with the best performing standard method. With further refinements, this method could be implemented in both acute and chronic care in children and adults.