Developing a checklist to inform data linkage study designs for health technology assessments: a case study linking the Cardiac Rhythm Management (CRM) register to the Secure Anonymised Information Linkage (SAIL) Databank
| Autor: | Megan Dale, Ruth Louise Poole, Michael Griffith, Hannah Patrick, Grace Carolan-Rees, Chris Gale, Antony Wilkes, Mauro Lencioni |
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| Rok vydání: | 2017 |
| Předmět: |
medicine.medical_specialty
Information Systems and Management Operations research business.industry Clinical study design Psychological intervention Health technology Nice Health Informatics Checklist Family medicine medicine Observational study General health business computer Data Linkage Information Systems Demography computer.programming_language |
| Zdroj: | International Journal of Population Data Science. 1 |
| ISSN: | 2399-4908 |
| Popis: | ObjectivesHealth services researchers are increasingly engaging with the emerging field of data science, but relatively few have the expertise to understand how innovative data linkage methodologies can, and cannot, be successfully applied in practice. There is little published guidance written specifically for this purpose. We aimed to develop study design criteria to help researchers in considering whether these methods are appropriate for their projects. A secondary objective was to test the criteria in a case study, and evaluate the application of the data linkage approach. ApproachClinical procedures requiring further research (according to the National Institute for Health and Care Excellence) were assessed against newly-developed CINDER criteria (Coverage; Identifiers; Numbers; Data; Existing records; Retrieval) to check the suitability of using data linkage methods. The CALON (Cardiac Ablation: Linking Outcomes for NICE) study was then established to evaluate outcomes of cardiac ablation procedures. Records from the UK’s Cardiac Rhythm Management (CRM) register were linked to routinely-recorded primary care, secondary care and mortality data in the Secure Anonymised Information Linkage (SAIL) Databank. Demographic profiles of patients identified from the register were compared with a group identified from SAIL. Outpatient attendances before and after ablation were compared using a Generalised Linear Mixed Model, assuming significance of p0.05); mean age differed by 1.6 years (95% CI 0.23-3.04; p=0.02). Patients accessed 26.7% fewer hospital outpatient appointments after ablation (95% CI 23.4 to 29.8; p |
| Databáze: | OpenAIRE |
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