2020
DOI: 10.1186/s12883-020-01993-w
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Routinely collected patient data in neurology research: a systematic mapping review

Abstract: Background This review focuses on neurology research which uses routinely collected data. The number of such studies is growing alongside the expansion of data collection. We aim to gain a broad picture of the scope of how routine healthcare data have been utilised. Methods This study follows a systematic mapping review approach which does not make a judgement on the quality of the papers included in the review, thereby enabling a complete overview of the field. Results Of 4481 publications retrieved, 386 me… Show more

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Cited by 6 publications
(2 citation statements)
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References 25 publications
(31 reference statements)
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“…In our review, only three studies used routinely collected data, with large sample size, to conduct multimorbidity assessment, spanning ages 18 to >65 years. Despite routinely collected data, such as health insurance claims or electronic health records, been applied in many aspects,96 97 its use in multimorbidity assessment remains limited. This may be due to the concerns about the accessibility, accuracy and reliability of the routinely collected data 98.…”
Section: Discussionmentioning
confidence: 99%
“…In our review, only three studies used routinely collected data, with large sample size, to conduct multimorbidity assessment, spanning ages 18 to >65 years. Despite routinely collected data, such as health insurance claims or electronic health records, been applied in many aspects,96 97 its use in multimorbidity assessment remains limited. This may be due to the concerns about the accessibility, accuracy and reliability of the routinely collected data 98.…”
Section: Discussionmentioning
confidence: 99%
“…Health services generate large amounts of routine health data (so-called ‘real world data’, such as administrative databases, disease registries and electronic health records), which have important secondary uses for research and evaluation. Increases in the availability of routine health data, and the ability to store, process, link, access and analyse large amounts of data represent a major opportunity for conducting studies on the possible relationships between complex (serious) diseases and other health events with abundant collected data 30–34. Using such high-scale data sources often involves challenges for research design, conduct and reporting of studies;35 36 for example, the description of databases’ characteristics, record linkage methodology and any validation of the codes or algorithms used to select the study population.…”
Section: Introductionmentioning
confidence: 99%