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      Evaluating the cost of managing patients with cellulitis in Wales, UK: A 20‐year population‐scale study

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          Abstract

          This study aimed to estimate costs associated with managing patients with cellulitis from the UK National Health Service (NHS) perspective. The analysis was undertaken through the Secure Anonymised Information Linkage Databank, which brings together population‐scale, individual‐level anonymised linked data from a wide range of sources, including 80% of primary care general practices within Wales (population coverage ~3.2 million). The data covered a 20‐year period from 1999 to 2019. All patients linked to the relevant codes were tracked through primary care settings, recording the number of general practice visits (number of days with an event recorded) and number of in‐patient stays. Resources were valued in monetary terms (£ sterling), with costs determined from national published sources of unit costs. These resources were then extrapolated out to reflect UK NHS costs. This is the first attempt to estimate the financial burden of cellulitis using routine data sources on a national scale. The estimated direct annual costs to the Welsh NHS (£28 554 338) are considerable. In‐Patient events and length of stay costs are the main cost drivers, with annual Welsh NHS estimates of £19 664 126 with primary care events costing £8 890 212. Initiatives to support patients and healthcare professionals in identifying early signs/risks of cellulitis, improve the accuracy of initial diagnosis, prevent cellulitis recurrence, and improve evidence‐based treatment pathways would result in major financial savings, to both the Welsh and UK NHS. In light of these findings, Wales has developed the innovative National Lymphoedema cellulitis Improvement Programme to address these burdens; providing a proactive model of cellulitis care.

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          The SAIL databank: linking multiple health and social care datasets

          Background Vast amounts of data are collected about patients and service users in the course of health and social care service delivery. Electronic data systems for patient records have the potential to revolutionise service delivery and research. But in order to achieve this, it is essential that the ability to link the data at the individual record level be retained whilst adhering to the principles of information governance. The SAIL (Secure Anonymised Information Linkage) databank has been established using disparate datasets, and over 500 million records from multiple health and social care service providers have been loaded to date, with further growth in progress. Methods Having established the infrastructure of the databank, the aim of this work was to develop and implement an accurate matching process to enable the assignment of a unique Anonymous Linking Field (ALF) to person-based records to make the databank ready for record-linkage research studies. An SQL-based matching algorithm (MACRAL, Matching Algorithm for Consistent Results in Anonymised Linkage) was developed for this purpose. Firstly the suitability of using a valid NHS number as the basis of a unique identifier was assessed using MACRAL. Secondly, MACRAL was applied in turn to match primary care, secondary care and social services datasets to the NHS Administrative Register (NHSAR), to assess the efficacy of this process, and the optimum matching technique. Results The validation of using the NHS number yielded specificity values > 99.8% and sensitivity values > 94.6% using probabilistic record linkage (PRL) at the 50% threshold, and error rates were < 0.2%. A range of techniques for matching datasets to the NHSAR were applied and the optimum technique resulted in sensitivity values of: 99.9% for a GP dataset from primary care, 99.3% for a PEDW dataset from secondary care and 95.2% for the PARIS database from social care. Conclusion With the infrastructure that has been put in place, the reliable matching process that has been developed enables an ALF to be consistently allocated to records in the databank. The SAIL databank represents a research-ready platform for record-linkage studies.
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            The SAIL Databank: building a national architecture for e-health research and evaluation

            Background Vast quantities of electronic data are collected about patients and service users as they pass through health service and other public sector organisations, and these data present enormous potential for research and policy evaluation. The Health Information Research Unit (HIRU) aims to realise the potential of electronically-held, person-based, routinely-collected data to conduct and support health-related studies. However, there are considerable challenges that must be addressed before such data can be used for these purposes, to ensure compliance with the legislation and guidelines generally known as Information Governance. Methods A set of objectives was identified to address the challenges and establish the Secure Anonymised Information Linkage (SAIL) system in accordance with Information Governance. These were to: 1) ensure data transportation is secure; 2) operate a reliable record matching technique to enable accurate record linkage across datasets; 3) anonymise and encrypt the data to prevent re-identification of individuals; 4) apply measures to address disclosure risk in data views created for researchers; 5) ensure data access is controlled and authorised; 6) establish methods for scrutinising proposals for data utilisation and approving output; and 7) gain external verification of compliance with Information Governance. Results The SAIL databank has been established and it operates on a DB2 platform (Data Warehouse Edition on AIX) running on an IBM 'P' series Supercomputer: Blue-C. The findings of an independent internal audit were favourable and concluded that the systems in place provide adequate assurance of compliance with Information Governance. This expanding databank already holds over 500 million anonymised and encrypted individual-level records from a range of sources relevant to health and well-being. This includes national datasets covering the whole of Wales (approximately 3 million population) and local provider-level datasets, with further growth in progress. The utility of the databank is demonstrated by increasing engagement in high quality research studies. Conclusion Through the pragmatic approach that has been adopted, we have been able to address the key challenges in establishing a national databank of anonymised person-based records, so that the data are available for research and evaluation whilst meeting the requirements of Information Governance.
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              Risk factors for erysipelas of the leg (cellulitis): case-control study.

              To assess risk factors for erysipelas of the leg (cellulitis). Case-control study. 7 hospital centres in France. 167 patients admitted to hospital for erysipelas of the leg and 294 controls. In multivariate analysis, a disruption of the cutaneous barrier (leg ulcer, wound, fissurated toe-web intertrigo, pressure ulcer, or leg dermatosis) (odds ratio 23.8, 95% confidence interval 10.7 to 52.5), lymphoedema (71.2, 5.6 to 908), venous insufficiency (2.9, 1.0 to 8.7), leg oedema (2.5, 1.2 to 5.1) and being overweight (2.0, 1.1 to 3.7) were independently associated with erysipelas of the leg. No association was observed with diabetes, alcohol, or smoking. Population attributable risk for toe-web intertrigo was 61%. This first case-control study highlights the major role of local risk factors (mainly lymphoedema and site of entry) in erysipelas of the leg. From a public health perspective, detecting and treating toe-web intertrigo should be evaluated in the secondary prevention of erysipelas of the leg.
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                Author and article information

                Contributors
                i.humphreys@swansea.ac.uk
                Journal
                Int Wound J
                Int Wound J
                10.1111/(ISSN)1742-481X
                IWJ
                International Wound Journal
                Blackwell Publishing Ltd (Oxford, UK )
                1742-4801
                1742-481X
                17 January 2023
                August 2023
                : 20
                : 6 ( doiID: 10.1111/iwj.v20.6 )
                : 2129-2140
                Affiliations
                [ 1 ] Health and Wellbeing Academy, School of Health and Social Care, Faculty of Medicine, Health and Life Sciences Swansea University Swansea UK
                [ 2 ] Population Data Science, Health Data Research UK, Swansea University Medical School, Faculty of Medicine, Health and Life Sciences Swansea University Swansea UK
                [ 3 ] Lymphoedema Network Wales Swansea Bay University Health Board Swansea UK
                Author notes
                [*] [* ] Correspondence

                Ioan Humphreys, Health and Wellbeing Academy, School of Health and Social Care, Faculty of Medicine, Health and Life Sciences, Swansea University, Swansea, UK.

                Email: i.humphreys@ 123456swansea.ac.uk

                Author information
                https://orcid.org/0000-0001-7993-0179
                https://orcid.org/0000-0003-0814-0801
                Article
                IWJ14088
                10.1111/iwj.14088
                10333041
                36648008
                f8f107f5-733f-4373-b1ba-6f3ee8d8ed75
                © 2023 The Authors. International Wound Journal published by Medicalhelplines.com Inc (3M) and John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 03 January 2023
                : 11 October 2022
                : 04 January 2023
                Page count
                Figures: 0, Tables: 8, Pages: 12, Words: 6253
                Funding
                Funded by: HDR UK Ltd
                Award ID: HDR‐9006
                Funded by: UK Medical Research Council , doi 10.13039/501100000265;
                Funded by: Engineering and Physical Sciences Research Council , doi 10.13039/501100000266;
                Funded by: Economic and Social Research Council , doi 10.13039/501100000269;
                Funded by: Department of Health and Social Care (England)
                Funded by: Chief Scientist Office of the Scottish Government Health and Social Care Directorates , doi 10.13039/100014589;
                Funded by: Health and Social Care Research and Development Division (Welsh Government) , doi 10.13039/100015846;
                Funded by: Public Health Agency (Northern Ireland)
                Funded by: British Heart Foundation (BHF)
                Funded by: Wellcome Trust , doi 10.13039/100010269;
                Funded by: ADR Wales programme of work
                Funded by: ADR UK
                Award ID: ES/S007393/1
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                August 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.1 mode:remove_FC converted:10.07.2023

                Emergency medicine & Trauma
                cellulitis,economic burden,longitudinal data,lymphoedema,sail databank
                Emergency medicine & Trauma
                cellulitis, economic burden, longitudinal data, lymphoedema, sail databank

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