The resource costs of wound care in Bradford and Airedale primary care trust in the UK

2009 ◽  
Vol 18 (3) ◽  
pp. 93-102 ◽  
Author(s):  
K. Vowden ◽  
P. Vowden ◽  
J. Posnett
Author(s):  
JILL RUSSELL ◽  
TRISHA GREENHALGH

This chapter describes a study undertaken as part of the UCL Evidence programme to explore how policymakers talk about and reason with evidence. Specifically, researchers were interested in the micro-processes of deliberation and meaning-making practices of a group of people charged with prioritising health care in an NHS Primary Care Trust in the UK. The chapter describes how the research study brought together ideas from rhetorical theory and methods of discourse analysis to develop an innovative approach to exploring how evidence is constituted at the micro-level of social interaction and communication. It presents empirical data to illuminate the representation and meaning of evidence within one particular policymaking forum, and to highlight contrasting constructions of the policymaking process.


Author(s):  
Vikraman Baskaran ◽  
Steve E. Johns ◽  
Rajeev K. Bali ◽  
Raouf N. G. Naguib ◽  
Nilmini Wickramasinghe

This paper investigates whether Knowledge Management (KM) tools and techniques would be useful to General Practitioners within the new UK Commissioning Consortia when they adopt the role of General Practitioners commissioners from the current Primary Care Trusts. Empirical data based on questionnaires were sent to a small sample group made up of General Practitioners, Primary Care Staff and Academics in addition to data collected from a set of one to one interviews with some of the sample group. The authors’ findings show that stakeholders (n=30) are not accustomed to using KM as a way to maximize existing knowledge of commissioning of services within the Primary Care Trust but it does show that they are not too far away from possibly realizing that some type of KM strategy would probably work for them. General Practitioners are already using some of the knowledge management tools under different guises. A lot of resources will be saved if General Practitioners can capture as much of the knowledge already available within the Primary Care Trust by incorporating KM tools and techniques.


Author(s):  
Fiona Creed

Medication administration is a key skill and it is vital that you are able to demonstrate safety in all aspects of the medication administration process in order to avoid harm or death to your patient. The NMC (2004, 2010) reiterates this point, highlighting that the administration of medicines is an important aspect of a nurse’s professional practice. They argue that it is not simply a mechanistic task, but one that requires thought, exercise and professional judgement. Studies suggest that medicine administration is one of the highest risk processes that a nurse will undertake in clinical practice (NPSA 2007b; Elliot and Lui 2010). Medication administration errors are one of the most common errors reported to the National Patient Safety Agency (NPSA). Indeed in a 12-month period in 2007, 72,482 medication errors were reported with 100 of these causing either death or severe harm to the patient (NPSA 2009). The frequency of these errors has led to a number of changes in the medication administration process. Alongside these important recommendations, most higher education establishments will want to ensure safety of medicine administration and may test this vital skill using an OSCE to ensure that you are adequately prepared for safe administration of medication in practice. There are a number of important laws and key documents that relate to the administration of medication and it is important that you understand these as they all impact upon your practice when administering medication to a patient. You may also be tested on your knowledge in relation to these areas so it is important that you have read these. Important documents you will need to know include: ● The laws that relate to medication in the UK, ● NMC Standards for Medicines Management (2010) (www.nmc-uk.org), ● Local policies related to hospital/Primary Care Trust (PCT) regulation of medication (refer to local guidance). There are a number of laws that influence the manufacturing, prescription, supply, storage and administration of medication. Whilst you will not need to study the intricacies of these laws you will need to understand the main issues each law covers.


2009 ◽  
Vol 91 (4) ◽  
pp. 142-144 ◽  
Author(s):  
HA Khwaja ◽  
P Kerr ◽  
C Kelley ◽  
K Patel ◽  
ED Babu

Coding data in hospitals in the UK has notoriously proved to be liable to inaccuracy. This finding from previous studies has significant implications for hospital trusts, with the dawn of the concept of payment by results, which determines how much money a hospital receives from its local primary care trust (PCT) on the basis of operations performed and associated patient comorbidities. Inaccuracies in hospital coding could potentially affect such payments and contribute to the financial crisis afflicting many NHS trusts.


Author(s):  
V Chow ◽  
JA McGilligan ◽  
PK Das-Purkayastha

Over the last decade, reorganisation of the nhs by the Department of Health has led to primary care trusts (PCTS) having greater power over allocation of funding for healthcare. Pressure from the looming financial shortfall facing the nhs has led to the need to find ways of controlling costs without cutting the quality of healthcare throughout the UK.


2009 ◽  
Vol os16 (4) ◽  
pp. 137-142 ◽  
Author(s):  
Nick Kendall

This paper describes the innovative use of National Health Service (NHS) dental commissioning powers to develop specialist primary care based oral surgery services. The outcomes, after one full year of the scheme, have been substantial improvement in access and reduced waiting times for patients, further development of NHS primary care dental services through commissioning processes, increased use and engagement of oral surgery specialists outside of a hospital setting, and considerable ongoing savings to the NHS. Collaborative working between hospital consultants and managers, Primary Care Trust dental commissioners, general dental practice providers, specialist oral surgeons and a dental public health consultant has resulted in sustainable benefits to patients and the NHS within the World Class Commissioning framework.


JAMIA Open ◽  
2020 ◽  
Author(s):  
Spiros Denaxas ◽  
Anoop D Shah ◽  
Bilal A Mateen ◽  
Valerie Kuan ◽  
Jennifer K Quint ◽  
...  

Abstract Objectives The UK Biobank (UKB) is making primary care electronic health records (EHRs) for 500 000 participants available for COVID-19-related research. Data are extracted from four sources, recorded using five clinical terminologies and stored in different schemas. The aims of our research were to: (a) develop a semi-supervised approach for bootstrapping EHR phenotyping algorithms in UKB EHR, and (b) to evaluate our approach by implementing and evaluating phenotypes for 31 common biomarkers. Materials and Methods We describe an algorithmic approach to phenotyping biomarkers in primary care EHR involving (a) bootstrapping definitions using existing phenotypes, (b) excluding generic, rare, or semantically distant terms, (c) forward-mapping terminology terms, (d) expert review, and (e) data extraction. We evaluated the phenotypes by assessing the ability to reproduce known epidemiological associations with all-cause mortality using Cox proportional hazards models. Results We created and evaluated phenotyping algorithms for 31 biomarkers many of which are directly related to COVID-19 complications, for example diabetes, cardiovascular disease, respiratory disease. Our algorithm identified 1651 Read v2 and Clinical Terms Version 3 terms and automatically excluded 1228 terms. Clinical review excluded 103 terms and included 44 terms, resulting in 364 terms for data extraction (sensitivity 0.89, specificity 0.92). We extracted 38 190 682 events and identified 220 978 participants with at least one biomarker measured. Discussion and conclusion Bootstrapping phenotyping algorithms from similar EHR can potentially address pre-existing methodological concerns that undermine the outputs of biomarker discovery pipelines and provide research-quality phenotyping algorithms.


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