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Dive into the research topics where Antony Chuter is active.

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Featured researches published by Antony Chuter.


BMJ Quality & Safety | 2016

Supporting adherence for people starting a new medication for a long-term condition through community pharmacies: a pragmatic randomised controlled trial of the New Medicine Service

Rachel Elliott; Matthew J. Boyd; Nde-Eshimuni Salema; James Davies; Nick Barber; Rajnikant Mehta; Lukasz Tanajewski; Justin Waring; Asam Latif; Georgios Gkountouras; Anthony J Avery; Antony Chuter; Christopher Craig

Objective To examine the effectiveness of the New Medicine Service (NMS), a national community pharmacy service to support medicines-taking in people starting a new medicine for a long-term condition, compared with normal practice. Methods Pragmatic patient-level parallel randomised controlled trial, in 46 community pharmacies in England. Patients 1:1 block randomisation stratified by drug/disease group within each pharmacy. 504 participants (NMS: 251) aged 14 years and over, identified in the pharmacy on presentation of a prescription for asthma/chronic obstructive pulmonary disease, hypertension, type 2 diabetes or an anticoagulant/antiplatelet agent. NMS intervention: One consultation 7–14 days after presentation of prescription followed by another 14–21 days thereafter to identify problems with treatment and provide support if needed. Controls received normal practice. Adherence, defined as missing no doses without the advice of a medical professional in the previous 7 days, was assessed through patient self-report at 10 weeks. Intention-to-treat analysis was employed, with outcome adjusted for recruiting pharmacy, NMS disease category, age, sex and medication count. Cost to the National Health Service (NHS) was collected. Results At 10 weeks, 53 patients had withdrawn and 443 (85%) patients were contacted successfully by telephone. In the unadjusted analysis of 378 patients still taking the initial medicine, 61% (95% CI 54% to 67%) and 71% (95% CI 64% to 77%) patients were adherent in the normal practice and NMS arms, respectively (p=0.04 for difference). In the adjusted intention-to-treat analysis, the OR for increased adherence was 1.67 (95% CI 1.06 to 2.62; p=0.027) in favour of the NMS arm. There was a general trend to reduced NHS costs, albeit, statistically non-significant, for the NMS intervention: saving £21 (95% CI −£59 to £100, p=0.128) per patient. Conclusions The NMS significantly increased the proportion of patients adhering to their new medicine by about 10%, compared with normal practice. Trial registration numbers ClinicalTrials.gov trial reference number NCT01635361 (http://clinicaltrials.gov/ct2/show/NCT01635361). Current Controlled trials: trial reference number ISRCTN 23560818 (http://www.controlled-trials.com/ISRCTN23560818/; DOI 10.1186/ISRCTN23560818). UK Clinical Research Network (UKCRN) study 12494 (http://public.ukcrn.org.uk/Search/StudyDetail.aspx?StudyID=12494).


BMJ Open | 2017

Understanding the epidemiology of avoidable significant harm in primary care: protocol for a retrospective cross-sectional study

Brian G. Bell; Stephen Campbell; Andrew Carson-Stevens; Huw Prosser Evans; Alison Cooper; Christina Sheehan; Sarah Rodgers; Christine Johnson; Adrian Edwards; Sarah Armstrong; Rajnikant Mehta; Antony Chuter; Ailsa Donnelly; Darren M. Ashcroft; Joanne S Lymn; Pam Smith; Aziz Sheikh; Matthew J. Boyd; Anthony J Avery

Introduction Most patient safety research has focused on specialist-care settings where there is an appreciation of the frequency and causes of medical errors, and the resulting burden of adverse events. There have, however, been few large-scale robust studies that have investigated the extent and severity of avoidable harm in primary care. To address this, we will conduct a 12-month retrospective cross-sectional study involving case note review of primary care patients. Methods and analysis We will conduct electronic searches of general practice (GP) clinical computer systems to identify patients with avoidable significant harm. Up to 16 general practices from 3 areas of England (East Midlands, London and the North West) will be recruited based on practice size, to obtain a sample of around 100 000 patients. Our investigations will include an ‘enhanced sample’ of patients with the highest risk of avoidable significant harm. We will estimate the incidence of avoidable significant harm and express this as ‘per 100 000 patients per year’. Univariate and multivariate analysis will be conducted to identify the factors associated with avoidable significant harm. Ethics/Dissemination The decision regarding participation by general practices in the study is entirely voluntary; the consent to participate may be withdrawn at any time. We will not seek individual patient consent for the retrospective case note review, but if patients respond to publicity about the project and say they do not wish their records to be included, we will follow these instructions. We will produce a report for the Department of Healths Policy Research Programme and several high-quality peer-reviewed publications in scientific journals. The study has been granted a favourable opinion by the East Midlands Nottingham 2 Research Ethics Committee (reference 15/EM/0411) and Confidentiality Advisory Group approval for access to medical records without consent under section 251 of the NHS Act 2006 (reference 15/CAG/0182).


PharmacoEconomics | 2017

Cost Effectiveness of Support for People Starting a New Medication for a Long-Term Condition Through Community Pharmacies: An Economic Evaluation of the New Medicine Service (NMS) Compared with Normal Practice

Rachel Elliott; Lukasz Tanajewski; Georgios Gkountouras; Anthony J Avery; Nick Barber; Rajnikant Mehta; Matthew J. Boyd; Asam Latif; Antony Chuter; Justin Waring

BackgroundThe English community pharmacy New Medicine Service (NMS) significantly increases patient adherence to medicines, compared with normal practice. We examined the cost effectiveness of NMS compared with normal practice by combining adherence improvement and intervention costs with the effect of increased adherence on patient outcomes and healthcare costs.MethodsWe developed Markov models for diseases targeted by the NMS (hypertension, type 2 diabetes mellitus, chronic obstructive pulmonary disease, asthma and antiplatelet regimens) to assess the impact of patients’ non-adherence. Clinical event probability, treatment pathway, resource use and costs were extracted from literature and costing tariffs. Incremental costs and outcomes associated with each disease were incorporated additively into a composite probabilistic model and combined with adherence rates and intervention costs from the trial. Costs per extra quality-adjusted life-year (QALY) were calculated from the perspective of NHS England, using a lifetime horizon.ResultsNMS generated a mean of 0.05 (95% CI 0.00–0.13) more QALYs per patient, at a mean reduced cost of −£144 (95% CI −769 to 73). The NMS dominates normal practice with a probability of 0.78 [incremental cost-effectiveness ratio (ICER) −£3166 per QALY]. NMS has a 96.7% probability of cost effectiveness compared with normal practice at a willingness to pay of £20,000 per QALY. Sensitivity analysis demonstrated that targeting each disease with NMS has a probability over 0.90 of cost effectiveness compared with normal practice at a willingness to pay of £20,000 per QALY.ConclusionsOur study suggests that the NMS increased patient medicine adherence compared with normal practice, which translated into increased health gain at reduced overall cost.Trial RegistrationClinicalTrials.gov Trial reference number NCT01635361 (http://clinicaltrials.gov/ct2/show/NCT01635361). Current Controlled trials: Trial reference number ISRCTN 23560818 (http://www.controlled-trials.com/ISRCTN23560818/; DOI 10.1186/ISRCTN23560818). UK Clinical Research Network (UKCRN) study 12494 (http://public.ukcrn.org.uk/Search/StudyDetail.aspx?StudyID=12494).FundingDepartment of Health Policy Research Programme.


Journal of Patient Safety | 2018

A patient safety toolkit for family practices

Stephen Campbell; Brian G. Bell; Katherine Marsden; Rachel Spencer; Umesh T. Kadam; Katherine Perryman; Sarah Rodgers; Ian Litchfield; David Reeves; Antony Chuter; Lucy Doos; Ignacio Ricci-Cabello; Paramjit Gill; Aneez Esmail; Sheila Greenfield; Sarah P. Slight; Karen Middleton; Jane Barnett; Michael J. Moore; Jose M. Valderas; Aziz Sheikh; Anthony J Avery

Supplemental digital content is available in the text. Objective Major gaps remain in our understanding of primary care patient safety. We describe a toolkit for measuring patient safety in family practices. Methods Six tools were used in 46 practices. These tools were as follows: National Health Service Education for Scotland Trigger Tool, National Health Service Education for Scotland Medicines Reconciliation Tool, Primary Care Safequest, Prescribing Safety Indicators, Patient Reported Experiences and Outcomes of Safety in Primary Care, and Concise Safe Systems Checklist. Results Primary Care Safequest showed that most practices had a well-developed safety climate. However, the trigger tool revealed that a quarter of events identified were associated with moderate or substantial harm, with a third originating in primary care and avoidable. Although medicines reconciliation was undertaken within 2 days in more than 70% of cases, necessary discussions with a patient/carer did not always occur. The prescribing safety indicators identified 1435 instances of potentially hazardous prescribing or lack of recommended monitoring (from 92,649 patients). The Concise Safe Systems Checklist found that 25% of staff thought that their practice provided inadequate follow-up for vulnerable patients discharged from hospital and inadequate monitoring of noncollection of prescriptions. Most patients had a positive perception of the safety of their practice although 45% identified at least one safety problem in the past year. Conclusions Patient safety is complex and multidimensional. The Patient Safety Toolkit is easy to use and hosted on a single platform with a collection of tools generating practical and actionable information. It enables family practices to identify safety deficits that they can review and change procedures to improve their patient safety across a key sets of patient safety issues.


Trials | 2013

Protocol for the New Medicine Service Study: a randomized controlled trial and economic evaluation with qualitative appraisal comparing the effectiveness and cost effectiveness of the New Medicine Service in community pharmacies in England

Matthew J. Boyd; Justin Waring; Nick Barber; Rajnikant Mehta; Antony Chuter; Anthony J Avery; Nde-Eshimuni Salema; James Davies; Asam Latif; Lukasz Tanajewski; Rachel Elliott


Archive | 2017

Improving prescribing safety in general practices in the East Midlands through the Scaling Up PINCER intervention

Despina Laparidou; Antony Chuter; Tony Panayiotidis; Sarah Rodgers; Tony Avery; Janice Wiseman; Chris Rye; Susan Bowler; Justin Waring; Sarah Armstrong; Raj Mehta; Ndeshi Salema; Brian G. Bell; Darren M. Ashcroft; Rachel Elliott; Aziz Sheikh; Glen Swanwick; Matthew J. Boyd; Kamlesh Khunti; Niro Siriwardena


Archive | 2016

Serious harms and death in general practice

Andrew Carson-Stevens; Peter Hibbert; Huw Williams; Huw Prosser Evans; Alison Cooper; Philippa Rees; Anita Deakin; Emma Shiels; Russell Gibson; Amy Butlin; Ben Carter; Donna Luff; Gareth Parry; Meredith Makeham; Paul McEnhill; Hope Olivia Ward; Raymond Samuriwo; Anthony J Avery; Antony Chuter; Liam Donaldson; Sharon Mayor; Sukhmeet Panesar; Aziz Sheikh; Fiona Wood; Adrian G. Edwards


Archive | 2016

Patient safety incidents in general practice

Andrew Carson-Stevens; Peter Hibbert; Huw Williams; Huw Prosser Evans; Alison Cooper; Philippa Rees; Anita Deakin; Emma Shiels; Russell Gibson; Amy Butlin; Ben Carter; Donna Luff; Gareth Parry; Meredith Makeham; Paul McEnhill; Hope Olivia Ward; Raymond Samuriwo; Anthony J Avery; Antony Chuter; Liam Donaldson; Sharon Mayor; Sukhmeet S Panesar; Aziz Sheikh; Fiona Wood; Adrian Edwards


Archive | 2016

Rules of recursive model of incident analysis

Andrew Carson-Stevens; Peter Hibbert; Huw Williams; Huw Prosser Evans; Alison Cooper; Philippa Rees; Anita Deakin; Emma Shiels; Russell Gibson; Amy Butlin; Ben Carter; Donna Luff; Gareth Parry; Meredith Makeham; Paul McEnhill; Hope Olivia Ward; Raymond Samuriwo; Anthony J Avery; Antony Chuter; Liam Donaldson; Sharon Mayor; Sukhmeet Panesar; Aziz Sheikh; Fiona Wood; Adrian G. Edwards


Archive | 2016

Overview of study findings

Andrew Carson-Stevens; Peter Hibbert; Huw Williams; Huw Prosser Evans; Alison Cooper; Philippa Rees; Anita Deakin; Emma Shiels; Russell Gibson; Amy Butlin; Ben Carter; Donna Luff; Gareth Parry; Meredith Makeham; Paul McEnhill; Hope Olivia Ward; Raymond Samuriwo; Anthony J Avery; Antony Chuter; Liam Donaldson; Sharon Mayor; Sukhmeet Panesar; Aziz Sheikh; Fiona Wood; Adrian G. Edwards

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Aziz Sheikh

University of Edinburgh

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