Literature DB >> 30672402

An instrument to identify computerised primary care research networks, genetic and disease registries prepared to conduct linked research: TRANSFoRm International Research Readiness (TIRRE) survey.

Emily Jennings1, Simon De Lusignan2, Georgios Michalakidis3, Paul Krause4, Frank Sullivan5, Harshana Liyanage6, Brendan Delaney7.   

Abstract

PURPOSE: The Translational Research and Patients safety in Europe (TRANSFoRm) project aims to integrate primary care with clinical research whilst improving patient safety. The TRANSFoRm International Research Readiness survey (TIRRE) aims to demonstrate data use through two linked data studies and by identifying clinical data repositories and genetic databases or disease registries prepared to participate in linked research.
METHOD: The TIRRE survey collects data at micro-, meso- and macro-levels of granularity; to fulfil data, study specific, business, geographical and readiness requirements of potential data providers for the TRANSFoRm demonstration studies. We used descriptive statistics to differentiate between demonstration-study compliant and non-compliant repositories. We only included surveys with >70% of questions answered in our final analysis, reporting the odds ratio (OR) of positive responses associated with a demonstration-study compliant data provider.
RESULTS: We contacted 531 organisations within the Eurpean Union (EU). Two declined to supply information; 56 made a valid response and a further 26 made a partial response. Of the 56 valid responses, 29 were databases of primary care data, 12 were genetic databases and 15 were cancer registries. The demonstration compliant primary care sites made 2098 positive responses compared with 268 in non-use-case compliant data sources [OR: 4.59, 95% confidence interval (CI): 3.93-5.35, p < 0.008]; for genetic databases: 380:44 (OR: 6.13, 95% CI: 4.25-8.85, p < 0.008) and cancer registries: 553:44 (OR: 5.87, 95% CI: 4.13-8.34, p < 0.008).
CONCLUSIONS: TIRRE comprehensively assesses the preparedness of data repositories to participate in specific research projects. Multiple contacts about hypothetical participation in research identified few potential sites.

Entities:  

Keywords:  Barrett’s disease; Diabetes mellitus; Electronic health records; Family practice; Medical Informatics; Medical records systems

Mesh:

Year:  2018        PMID: 30672402     DOI: 10.14236/jhi.v25i4.964

Source DB:  PubMed          Journal:  J Innov Health Inform        ISSN: 2058-4555


  2 in total

1.  A Conceptual Framework of Data Readiness: The Contextual Intersection of Quality, Availability, Interoperability, and Provenance.

Authors:  Brian J Douthit; Guilherme Del Fiol; Catherine J Staes; Sharron L Docherty; Rachel L Richesson
Journal:  Appl Clin Inform       Date:  2021-07-21       Impact factor: 2.762

2.  Why digitally-enabled health system transformation needs different forms of innovation.

Authors:  Kathrin Cresswell; Robin Williams; Narath Carlile; Aziz Sheikh
Journal:  BMJ Health Care Inform       Date:  2020-07
  2 in total

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