ORCID Profile
0000-0002-8288-449X
Current Organisations
Mahidol Oxford Tropical Medicine Research Unit
,
The University of Edinburgh
,
NICS-MORU and NICST
,
Royal College of Anaesthetists
,
Royal College of Physicians
,
University College Hospital
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Publisher: Elsevier BV
Date: 07-2020
Publisher: American Society of Tropical Medicine and Hygiene
Date: 11-01-2021
Publisher: Medknow
Date: 2010
Publisher: F1000 Research Ltd
Date: 28-01-2021
DOI: 10.12688/WELLCOMEOPENRES.16486.1
Abstract: The Randomized Embedded Multifactorial Adaptive Platform (REMAP-CAP) adapted for COVID-19) trial is a global adaptive platform trial of hospitalised patients with COVID-19. We describe implementation in three countries under the umbrella of the Wellcome supported Low and Middle Income Country (LMIC) critical care network: Collaboration for Research, Implementation and Training in Asia (CCA). The collaboration sought to overcome known barriers to multi centre-clinical trials in resource-limited settings. Methods described focused on six aspects of implementation: i, Strengthening an existing community of practice ii, Remote study site recruitment, training and support iii, Harmonising the REMAP CAP- COVID trial with existing care processes iv, Embedding REMAP CAP- COVID case report form into the existing CCA registry platform, v, Context specific adaptation and data management vi, Alignment with existing pandemic and critical care research in the CCA. Methods described here may enable other LMIC sites to participate as equal partners in international critical care trials of urgent public health importance, both during this pandemic and beyond.
Publisher: Springer Science and Business Media LLC
Date: 12-07-2021
Publisher: BMJ
Date: 04-2018
Publisher: Elsevier BV
Date: 08-2019
DOI: 10.1016/J.RESUSCITATION.2019.05.012
Abstract: Clinically significant deterioration of patients admitted to general wards is a recognized complication of hospital care. Rapid Response Systems (RRS) aim to reduce the number of avoidable adverse events. The authors aimed to develop a core quality metric for the evaluation of RRS. We conducted an international consensus process. Participants included patients, carers, clinicians, research scientists, and members of the International Society for Rapid Response Systems with representatives from Europe, Australia, Africa, Asia and the US. Scoping reviews of the literature identified potential metrics. We used a modified Delphi methodology to arrive at a list of candidate indicators that were reviewed for feasibility and applicability across a broad range of healthcare systems including low and middle-income countries. The writing group refined recommendations and further characterized measurement tools. Consensus emerged that core outcomes for reporting for quality improvement should include ten metrics related to structure, process and outcome for RRS with outcomes following the domains of the quadruple aim. The conference recommended that hospitals should collect data on cardiac arrests and their potential predictability, timeliness of escalation, critical care interventions and presence of written treatment goals for patients remaining on general wards. Unit level reporting should include the presence of patient activated rapid response and metrics of organizational culture. We suggest two exploratory cost metrics to underpin urgently needed research in this area. A consensus process was used to develop ten metrics for better understanding the course and care of deteriorating ward patients. Others are proposed for further development.
Publisher: Springer Science and Business Media LLC
Date: 10-07-2017
Publisher: American Medical Association (AMA)
Date: 06-10-2020
Publisher: Cold Spring Harbor Laboratory
Date: 25-07-2020
DOI: 10.1101/2020.07.17.20155218
Abstract: ISARIC (International Severe Acute Respiratory and emerging Infections Consortium) partnerships and outbreak preparedness initiatives enabled the rapid launch of standardised clinical data collection on COVID-19 in Jan 2020. Extensive global participation has resulted in a large, standardised collection of comprehensive clinical data from hundreds of sites across dozens of countries. Data are analysed regularly and reported publicly to inform patient care and public health response. This report, our 17th report, is a part of a series published over the past 2 years. Data have been entered for 800,459 in iduals from 1701 partner institutions and networks across 60 countries. The comprehensive analyses detailed in this report includes hospitalised in iduals of all ages for whom data collection occurred between 30 January 2020 and up to and including 5 January 2022, AND who have laboratory-confirmed SARS-COV-2 infection or clinically diagnosed COVID-19. For the 699,014 cases who meet eligibility criteria for this report, selected findings include: median age of 58 years, with an approximately equal (50/50) male:female sex distribution 29% of the cohort are at least 70 years of age, whereas 4% are 0-19 years of age the most common symptom combination in this hospitalised cohort is shortness of breath, cough, and history of fever, which has remained constant over time the five most common symptoms at admission were shortness of breath, cough, history of fever, fatigue/malaise, and altered consciousness/confusion, which is unchanged from the previous reports age-associated differences in symptoms are evident, including the frequency of altered consciousness increasing with age, and fever, respiratory and constitutional symptoms being present mostly in those 40 years and above 16% of patients with relevant data available were admitted at some point during their illness into an intensive care unit (ICU), which is slightly lower than previously reported (19%) antibiotic agents were used in 35% of patients for whom relevant data are available (669,630), a significant reduction from our previous reports (80%) which reflects a shifting proportion of data contributed by different institutions in ICU/HDU admitted patients with data available (50,560), 91% received antibiotics use of corticosteroids was reported in 24% of all patients for whom data were available (677,012) in ICU/HDU admitted patients with data available (50,646), 69% received corticosteroids outcomes are known for 632,518 patients and the overall estimated case fatality ratio (CFR) is 23.9% (95%CI 23.8-24.1), rising to 37.1% (95%CI 36.8-37.4) for patients who were admitted to ICU/HDU, demonstrating worse outcomes in those with the most severe disease To access previous versions of ISARIC COVID-19 Clinical Data Report please use the link below: esearch/covid-19-clinical-research-resources/evidence-reports/
Publisher: Elsevier BV
Date: 04-2017
DOI: 10.1016/J.ICCN.2016.08.008
Abstract: To deliver and evaluate a short critical care nurse training course whilst simultaneously building local training capacity. A multi-modal short course for critical care nursing skills was delivered in seven training blocks, from 06/2013-11/2014. Each training block included a Train the Trainer programme. The project was evaluated using Kirkpatrick's Hierarchy of Learning. There was a graded hand over of responsibility for course delivery from overseas to local faculty between 2013 and 2014. Sri Lanka. Participant learning assessed through pre ost course Multi-Choice Questionnaires. A total of 584 nurses and 29 faculty were trained. Participant feedback was consistently positive and each course demonstrated a significant increase (p≤0.0001) in MCQ scores. There was no significant difference MCQ scores (p=0.186) between overseas faculty led and local faculty led courses. In a relatively short period, training with good educational outcomes was delivered to nearly 25% of the critical care nursing population in Sri Lanka whilst simultaneously building a local faculty of trainers. Through use of a structured Train the Trainer programme, course outcomes were maintained following the handover of training responsibility to Sri Lankan faculty. The focus on local capacity building increases the possibility of long term course sustainability.
Publisher: Elsevier BV
Date: 04-2015
DOI: 10.1016/J.JCRC.2014.10.024
Abstract: To assess the impact of a nurse-led, short, structured training program for intensive care unit (ICU) nurses in a resource-limited setting. A training program using a structured approach to patient assessment and management for ICU nurses was designed and delivered by local nurse tutors in partnership with overseas nurse trainers. The impact of the course was assessed using the following: pre-course and post-course self-assessment, a pre-course and post-course Multiple Choice Questionnaire (MCQ), a post-course Objective Structured Clinical Assessment station, 2 post-course Short Oral Exam (SOE) stations, and post-course feedback questionnaires. In total, 117 ICU nurses were trained. Post-MCQ scores were significantly higher when compared with pre-MCQ (P < .0001). More than 95% passed the post-course Objective Structured Clinical Assessment (patient assessment) and SOE 1 (arterial blood gas analysis), whereas 76.9% passed SOE 2 (3-lead electrocardiogram analysis). The course was highly rated by participants, with 98% believing that this was a useful experience. Nursing Intensive Care Skills Training was highly rated by participants and was effective in improving the knowledge of the participants. This sustainable short course model may be adaptable to other resource-limited settings.
Publisher: Massachusetts Medical Society
Date: 22-04-2021
Publisher: Elsevier BV
Date: 04-2016
Publisher: Massachusetts Medical Society
Date: 26-08-2021
Publisher: F1000 Research Ltd
Date: 13-08-2020
DOI: 10.12688/WELLCOMEOPENRES.16008.2
Abstract: We report the outputs of a satellite event in Ho Chi Minh City, Vietnam, organized as part of the “2 nd Global Grand Challenges of Engineering Summit”. The event considered challenges and potential solutions for improving low- and middle-income country (LMIC) healthcare systems, with particular reference to critical care. Participants from key regional and local stakeholders in healthcare and engineering discussed how new advances in technology, especially in the field of Artificial Intelligence, could be of potential benefit. This article summarizes the perspectives and conclusions of a group of key stakeholders from LMICs across South and South East Asia.
Publisher: American Medical Association (AMA)
Date: 10-08-2021
Publisher: Massachusetts Medical Society
Date: 26-08-2021
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Rashan Haniffa.