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Dive into the research topics where Michael Clancy is active.

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Featured researches published by Michael Clancy.


The Lancet | 2016

Weekend specialist intensity and admission mortality in acute hospital trusts in England: a cross-sectional study

Cassie P Aldridge; Julian Bion; Amunpreet Boyal; Yen-Fu Chen; Michael Clancy; Timothy W. Evans; Alan Girling; Joanne Lord; Russell Mannion; Peter Rees; Chris Roseveare; Gavin Rudge; Jianxia Sun; Carolyn Tarrant; Mark Temple; Samuel I. Watson; Richard Lilford

Summary Background Increased mortality rates associated with weekend hospital admission (the so-called weekend effect) have been attributed to suboptimum staffing levels of specialist consultants. However, evidence for a causal association is elusive, and the magnitude of the weekend specialist deficit remains unquantified. This uncertainty could hamper efforts by national health systems to introduce 7 day health services. We aimed to examine preliminary associations between specialist intensity and weekend admission mortality across the English National Health Service. Methods Eligible hospital trusts were those in England receiving unselected emergency admissions. On Sunday June 15 and Wednesday June 18, 2014, we undertook a point prevalence survey of hospital specialists (consultants) to obtain data relating to the care of patients admitted as emergencies. We defined specialist intensity at each trust as the self-reported estimated number of specialist hours per ten emergency admissions between 0800 h and 2000 h on Sunday and Wednesday. With use of data for all adult emergency admissions for financial year 2013–14, we compared weekend to weekday admission risk of mortality with the Sunday to Wednesday specialist intensity ratio within each trust. We stratified trusts by size quintile. Findings 127 of 141 eligible acute hospital trusts agreed to participate; 115 (91%) trusts contributed data to the point prevalence survey. Of 34 350 clinicians surveyed, 15 537 (45%) responded. Substantially fewer specialists were present providing care to emergency admissions on Sunday (1667 [11%]) than on Wednesday (6105 [42%]). Specialists present on Sunday spent 40% more time caring for emergency patients than did those present on Wednesday (mean 5·74 h [SD 3·39] vs 3·97 h [3·31]); however, the median specialist intensity on Sunday was only 48% (IQR 40–58) of that on Wednesday. The Sunday to Wednesday intensity ratio was less than 0·7 in 104 (90%) of the contributing trusts. Mortality risk among patients admitted at weekends was higher than among those admitted on weekdays (adjusted odds ratio 1·10, 95% CI 1·08–1·11; p<0·0001). There was no significant association between Sunday to Wednesday specialist intensity ratios and weekend to weekday mortality ratios (r −0·042; p=0·654). Interpretation This cross-sectional analysis did not detect a correlation between weekend staffing of hospital specialists and mortality risk for emergency admissions. Further investigation is needed to evaluate whole-system secular change during the implementation of 7 day services. Policy makers should exercise caution before attributing the weekend effect mainly to differences in specialist staffing. Funding National Institute for Health Research Health Services and Delivery Research Programme.


BMJ Open | 2017

Two-epoch cross-sectional case record review protocol comparing quality of care of hospital emergency admissions at weekends versus weekdays

Julian Bion; Cassie P Aldridge; Alan Girling; Gavin Rudge; Chris Beet; Timothy W. Evans; R Mark Temple; Chris Roseveare; Michael Clancy; Amunpreet Boyal; Carolyn Tarrant; Elizabeth Sutton; Jianxia Sun; Peter Rees; Russell Mannion; Yen-Fu Chen; Samuel I. Watson; Richard Lilford

Introduction The mortality associated with weekend admission to hospital (the ‘weekend effect’) has for many years been attributed to deficiencies in quality of hospital care, often assumed to be due to suboptimal senior medical staffing at weekends. This protocol describes a case note review to determine whether there are differences in care quality for emergency admissions (EAs) to hospital at weekends compared with weekdays, and whether the difference has reduced over time as health policies have changed to promote 7-day services. Methods and analysis Cross-sectional two-epoch case record review of 20 acute hospital Trusts in England. Anonymised case records of 4000 EAs to hospital, 2000 at weekends and 2000 on weekdays, covering two epochs (financial years 2012–2013 and 2016–2017). Admissions will be randomly selected across the whole of each epoch from Trust electronic patient records. Following training, structured implicit case reviews will be conducted by consultants or senior registrars (senior residents) in acute medical specialities (60 case records per reviewer), and limited to the first 7 days following hospital admission. The co-primary outcomes are the weekend:weekday admission ratio of errors per case record, and a global assessment of care quality on a Likert scale. Error rates will be analysed using mixed effects logistic regression models, and care quality using ordinal regression methods. Secondary outcomes include error typology, error-related adverse events and any correlation between error rates and staffing. The data will also be used to inform a parallel health economics analysis. Ethics and dissemination The project has received ethics approval from the South West Wales Research Ethics Committee (REC): reference 13/WA/0372. Informed consent is not required for accessing anonymised patient case records from which patient identifiers had been removed. The findings will be disseminated through peer-reviewed publications in high-quality journals and through local High-intensity Specialist-Led Acute Care (HiSLAC) leads at the 121 hospitals that make up the HiSLAC Collaborative.


Journal of Neurotrauma | 2018

Cerebral Oxygenation in Traumatic Brain Injury: Can a Non-Invasive Frequency Domain Near-Infrared Spectroscopy Device Detect Changes in Brain Tissue Oxygen Tension as Well as the Established Invasive Monitor?

David Davies; Michael Clancy; Hamid Dehghani; Samuel J. E. Lucas; Mario Forcione; Kamal Makram Yakoub; Antonio Belli

The cost and highly invasive nature of brain monitoring modality in traumatic brain injury patients currently restrict its utility to specialist neurological intensive care settings. We aim to test the abilities of a frequency domain near-infrared spectroscopy (FD-NIRS) device in predicting changes in invasively measured brain tissue oxygen tension. Individuals admitted to a United Kingdom specialist major trauma center were contemporaneously monitored with an FD-NIRS device and invasively measured brain tissue oxygen tension probe. Area under the curve receiver operating characteristic (AUROC) statistical analysis was utilized to assess the predictive power of FD-NIRS in detecting both moderate and severe hypoxia (20 and 10 mm Hg, respectively) as measured invasively. Sixteen individuals were prospectively recruited to the investigation. Severe hypoxic episodes were detected in nine of these individuals, with the NIRS demonstrating a broad range of predictive abilities (AUROC 0.68-0.88) from relatively poor to good. Moderate hypoxic episodes were detected in seven individuals with similar predictive performance (AUROC 0.576-0.905). A variable performance in the predictive powers of this FD-NIRS device to detect changes in brain tissue oxygen was demonstrated. Consequently, this enhanced NIRS technology has not demonstrated sufficient ability to replace the established invasive measurement.


Emergency Medicine Journal | 2018

A mixed methods study of the impact of consultant overnight working in an English Emergency Department

Marion Penn; Thomas Monks; Catherine Pope; Michael Clancy

Background There is a growing expectation that consultant-level doctors should be present within an ED overnight. However, there is a lack of robust evidence substantiating the impact on patient waiting times, safety or the workforce. Objectives To evaluate the impact of consultant-level doctors overnight working in ED in a large university hospital. Methods We conducted a controlled interrupted time series analysis to study ED waiting times before and after the introduction of consultant night working. Adverse event reports (AER) were used as a surrogate for patient safety. We conducted interviews with medical and nursing staff to explore attitudes to night work. Results The reduction seen in average time in department relative to the day, following the introduction of consultant was non-significant (−12 min; 95% CI −28 to 4, p=0.148). Analysis of hourly arrivals and departures indicated that overnight work was inherited from the day. There were three (0.9%) moderate and 0 severe AERs in 1 year. The workforce reported that night working had a negative impact on sleep patterns, performance and well-being and there were mixed views about the benefits of consultant night presence. Additional time off during the day acted as compensation for night work but resulted in reduced contact with ED teams. Conclusions Our single-site study was unable to demonstrate a clinically important impact of consultant night working on total time patients spend in the department. Our analysis suggests there may be more potential to reduce total time in department during the day, at our study site. Negative impacts on well-being, and likely resistance to consultant night working should not be ignored. Further studies of night working are recommended to substantiate our results.


The Lancet | 2016

Comparison of near infrared spectroscopy with functional MRI for detection of physiological changes in the brain independent of superficial tissue

David Davies; Shaun Evans; Michael Clancy; Zhangjie Su; Peter C. Hansen; Hamid Dehghani; Antonio Belli; Samuel J. E. Lucas

Abstract Background A reliable portable non-invasive monitor for use in brain injury is needed, so near infrared spectroscopy (NIRS) has potential. Historical inconsistencies in NIRS have prevented its use, often attributed to the contamination of signal from extracranial tissue. We aimed to validate the brain signal from frequency domain NIRS (advanced NIRS technique), comparing its abilities with functional MRI (fMRI) to isolate physiological activity in the brain from those of extracranial tissue. Methods In a prospective healthy volunteer study, nine individuals (six male, three female, age range 21–40 years) performed supine Valsalva manoeuvres (adequacy monitored via finger photoplethysmography and capnography). The Valsalva manoeuvre provided a suitable model for cerebral ischaemia and rises in intracranial pressure. During the manoeuvre, a portable frequency domain NIRS device was targeted separately at the brain and at extracranial tissue, and fMRI (blood oxygen load dependent sequence) was taken from regions corresponding to both fields of NIRS acquisition. Area under the curve analysis of the change in variables during the Valsalva manoeuvre was analysed by the Wilcoxon rank sum method with multiple pairwise comparisons between the brain and extracranial tissue signals for both NIRS and fMRI. Findings We observed similar responses in both brain and extracranial tissue: in all volunteers, oxygenation in brain tissue during the Valsalva manoeuvre decreased (mean −7·2% NIRS [SD 4·7], −3·4% fMRI [SD 1·46]) and oxygenation from the extracranial acquired data increased (mean +6·1% NIRS [SD 2·72], +4·4% fMRI [SD 3·45]), matching physiological predictions. These brain and extracranial signals were significantly different in both fMRI and NIRS (p=0·00025 and 0·00115, respectively). Interpretation Our findings confirm that frequency domain NIRS can detect specific changes within the brain tissue during the Valsalva manoeuvre independent of physiological features of extracranial tissue and reflects changes observed by fMRI. Therefore, the frank changes in the brain observed by frequency domain NIRS are brain specific, demonstrating the potential for this method to be used within the context of brain injury. Funding National Institute for Health Research Surgical Reconstruction and Microbiology Research Centre.


Cancer | 2016

Assessing the quantitative accuracy of continuous wave and frequency domain near infrared spectroscopy for detecting hypoxia in patients with traumatic brain injury

Daniel Lighter; Michael Clancy; David Davies; George M. Balanos; Samuel J. E. Lucas; Hamid Dehghani

In the context of traumatic brain injury, two NIRS systems (NIRO and ISS) were evaluated during induced hypoxia in healthy participants to demonstrate their limits in classifying normal and hypoxic brains for absolute oxygenation measurements


Biomedical optics | 2016

Monitoring the Injured Brain - High density near infrared probes and registered atlas models improve cerebral saturation recovery

Michael Clancy; Samuel J. E. Lucas; David Davies; Antonio Belli; Zhangjie Su; Stanislaw Wojtkiewicz; Piotr Sawosz; Hamid Dehghani

High density near infrared probes and registered subject specific head models are used to show the potential improvements to the quantitative accuracy of recovered parameters relevant to monitoring an injured brain.


European Conference on Biomedical Optics | 2015

Monitoring the injured brain: registered, patient specific atlas models to improve accuracy of recovered brain saturation values

Michael Clancy; Antonio Belli; David Davies; Samuel J. E. Lucas; Zhangjie Su; Hamid Dehghani

The subject of superficial contamination and signal origins remains a widely debated topic in the field of Near Infrared Spectroscopy (NIRS), yet the concept of using the technology to monitor an injured brain, in a clinical setting, poses additional challenges concerning the quantitative accuracy of recovered parameters. Using high density diffuse optical tomography probes, quantitatively accurate parameters from different layers (skin, bone and brain) can be recovered from subject specific reconstruction models. This study assesses the use of registered atlas models for situations where subject specific models are not available. Data simulated from subject specific models were reconstructed using the 8 registered atlas models implementing a regional (layered) parameter recovery in NIRFAST. A 3-region recovery based on the atlas model yielded recovered brain saturation values which were accurate to within 4.6% (percentage error) of the simulated values, validating the technique. The recovered saturations in the superficial regions were not quantitatively accurate. These findings highlight differences in superficial (skin and bone) layer thickness between the subject and atlas models. This layer thickness mismatch was propagated through the reconstruction process decreasing the parameter accuracy.


European Conference on Biomedical Optics | 2015

Comparison of neurological NIRS signals during standing Valsalva maneuvers, pre and post vasoconstrictor injection

Michael Clancy; Antonio Belli; David Davies; Samuel J. E. Lucas; Zhangjie Su; Hamid Dehghani

Near infrared spectroscopy (NIRS) has potential to offer a fast and non-invasive method of assessing cerebral saturation in a clinical setting, however, there are concerns that NIRS brain measures suffer contamination from superficial tissues. This study used the Valsalva manoeuver (VM) to determine whether NIRS could differentiate between superficial (from somatic tissue) and neurological changes in the context of traumatic brain injury. A potent vasopressor was used to assess the effect of reducing total haemoglobin concentration in the superficial regions of the forehead. Frequency domain NIRS measurements during the VM pre and post vasoconstrictor injection, combined with simulation data, conclusively show that NIRS can detect neurological changes, in both haemoglobin content and saturation, when positioned on the forehead. The effect of superficial contamination in this instance appeared to be insignificant, with no statistically significant change in saturation over 8 patients, even with a drop in superficial haemoglobin concentration due to the vasoconstrictor, confirmed by laser Doppler. Nevertheless, simulations indicated that the absolute values of the recovered NIRS parameters are not quantitatively accurate; however a direct comparison with invasive measures is needed to confirm this.


IEEE Transactions on Biomedical Engineering | 2014

Quantitative Evaluation of NIRS Probes and Imaging Protocol for Traumatic Brain Injury (TBI)

Michael Clancy; Anthony Belli; David Davies; Samuel J. E. Lucas; Hamid Dehghani

Realistic head models are used to assess the information content in regions of the brain relevant to monitoring traumatic brain injury patients with commercial NIRS probes, highlighting system variability and the need for better standardization.

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David Davies

University of Birmingham

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Hamid Dehghani

University of Birmingham

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Antonio Belli

University of Birmingham

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Zhangjie Su

University of Birmingham

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Alan Girling

University of Birmingham

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Amunpreet Boyal

University Hospitals Birmingham NHS Foundation Trust

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Chris Roseveare

Southern Health NHS Foundation Trust

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