scholarly journals The validity of dementia diagnoses in routinely collected electronic health records in the United Kingdom: A systematic review

2019 ◽  
Vol 28 (2) ◽  
pp. 244-255 ◽  
Author(s):  
Luke A. McGuinness ◽  
Charlotte Warren‐Gash ◽  
Louisa R. Moorhouse ◽  
Sara L. Thomas
2013 ◽  
Vol 15 (8) ◽  
pp. e160 ◽  
Author(s):  
Serena A Luchenski ◽  
Julie E Reed ◽  
Cicely Marston ◽  
Chrysanthi Papoutsi ◽  
Azeem Majeed ◽  
...  

2016 ◽  
Vol 184 (1) ◽  
pp. 58-66 ◽  
Author(s):  
Arief Lalmohamed ◽  
Tjeerd P. van Staa ◽  
Peter Vestergaard ◽  
Hubertus G. M. Leufkens ◽  
Anthonius de Boer ◽  
...  

2018 ◽  
Vol 25 (4) ◽  
pp. 254-259 ◽  
Author(s):  
Kathrin M. Cresswell ◽  
Brian McKinstry ◽  
Maria Wolters ◽  
Anoop Shah ◽  
Aziz Sheikh

The integration of patient/person generated health data into clinical applications is a widespread aspiration internationally. However, there is still a range of challenges that inhibit progress in this area. These include technology-related factors (such as interoperability), use-related factors (such as data overload) and characteristics of the strategic environment (such as existing standards). Building on important policy deliberations from the United States that aim to navigate these challenges, we here apply emerging policy frameworks to the United Kingdom and outline five key priority areas that are intended to help policymakers make important strategic decisions in attempting to integrate patient/person generated data into electronic health records.


2016 ◽  
Author(s):  
Nola M Ries

The author reviews recent changes in legislation in Canada and abroad in the area of patient privacy. consent and electronic health records (EHRs). In her overview of Canadian legislation, she examines the existing patchwork of legal requirements, as well as ethical obligations governing health information and policy initiatives aimed at harmonizing approaches across Canada. Internationally, the United Kingdom and Australia are reviewed on how those jurisdictions are addressing the issue of protecting patient privacy while developing operable EHR schemes. The author concludes that as EHR schemes develop, stringency of privacy and consent protections will likely wane in favour of establishing workable systems and. as a consequence, appropriate security mechanisms should be implemented to safeguard personal information.


2013 ◽  
Vol 16 (7) ◽  
pp. A580 ◽  
Author(s):  
M. Asaria ◽  
S. Walker ◽  
M.J. Sculpher ◽  
S. Palmer ◽  
A. Manca ◽  
...  

2015 ◽  
Vol 26 (1) ◽  
pp. 60-64 ◽  
Author(s):  
Paolo Campanella ◽  
Emanuela Lovato ◽  
Claudio Marone ◽  
Lucia Fallacara ◽  
Agostino Mancuso ◽  
...  

BMJ Open ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. e031373 ◽  
Author(s):  
Jennifer Anne Davidson ◽  
Amitava Banerjee ◽  
Rutendo Muzambi ◽  
Liam Smeeth ◽  
Charlotte Warren-Gash

IntroductionCardiovascular diseases (CVDs) are among the leading causes of death globally. Electronic health records (EHRs) provide a rich data source for research on CVD risk factors, treatments and outcomes. Researchers must be confident in the validity of diagnoses in EHRs, particularly when diagnosis definitions and use of EHRs change over time. Our systematic review provides an up-to-date appraisal of the validity of stroke, acute coronary syndrome (ACS) and heart failure (HF) diagnoses in European primary and secondary care EHRs.Methods and analysisWe will systematically review the published and grey literature to identify studies validating diagnoses of stroke, ACS and HF in European EHRs. MEDLINE, EMBASE, SCOPUS, Web of Science, Cochrane Library, OpenGrey and EThOS will be searched from the dates of inception to April 2019. A prespecified search strategy of subject headings and free-text terms in the title and abstract will be used. Two reviewers will independently screen titles and abstracts to identify eligible studies, followed by full-text review. We require studies to compare clinical codes with a suitable reference standard. Additionally, at least one validation measure (sensitivity, specificity, positive predictive value or negative predictive value) or raw data, for the calculation of a validation measure, is necessary. We will then extract data from the eligible studies using standardised tables and assess risk of bias in individual studies using the Quality Assessment of Diagnostic Accuracy Studies 2 tool. Data will be synthesised into a narrative format and heterogeneity assessed. Meta-analysis will be considered when a sufficient number of homogeneous studies are available. The overall quality of evidence will be assessed using the Grading of Recommendations, Assessment, Development and Evaluation tool.Ethics and disseminationThis is a systematic review, so it does not require ethical approval. Our results will be submitted for peer-review publication.PROSPERO registration numberCRD42019123898


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