2020
DOI: 10.1002/pds.4918
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Linking electronic health data in pharmacoepidemiology: Appropriateness and feasibility

Abstract: Purpose: To provide guidance on data linkage appropriateness and feasibility to plan purposeful and sustainable new linkages that advance pharmacoepidemiology and healthcare research. Planning a new data linkage requires careful evaluation to weigh the resources required with the potential overall benefits. Methods:In response to an International Society for Pharmacoepidemiology (ISPE) call for manuscripts, a working group comprised of members from academic, industry, and government determined priority content… Show more

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Cited by 24 publications
(18 citation statements)
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References 59 publications
(74 reference statements)
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“…It is also very important to assess the validity and practicability of the record-linkage beforehand to make sure that it is useful for researchers. 6 In many countries including Australia, 7 the USA, 8 Scotland, 9 New Zealand, 10 China 11 etc, data linkage has been practised in medical and social research.…”
Section: Introductionmentioning
confidence: 99%
“…It is also very important to assess the validity and practicability of the record-linkage beforehand to make sure that it is useful for researchers. 6 In many countries including Australia, 7 the USA, 8 Scotland, 9 New Zealand, 10 China 11 etc, data linkage has been practised in medical and social research.…”
Section: Introductionmentioning
confidence: 99%
“…Numerous groups, including regulatory agencies, have published guidance and best practices on the conduct of observational studies in support of or for regulatory purposes 36–44 . Others have made clear the need for transparency in studies to the degree that they can be replicated (e.g., design diagrams with very clear documentation, code lists, covariate definitions, the assessment windows used for baseline characteristics, and risk windows) 45,46 .…”
Section: Discussionmentioning
confidence: 99%
“…Because of the structure of the US health care system, a final linked dataset from such a scenario will include a highly selected population of patients who are (a) younger than age 65, (b) able to maintain enrollment in commercial health insurance after cancer diagnosis, (c) treated by oncology practices using certain interoperable software, and (d) living in states with cancer registries and data use agreements allowing linkage for research. Impacts for these selection factors could be managed through initial feasibility assessment (eg, recruiting additional partners/data sources to fill gaps for important populations of interest where linkage was poor relative to reference) or, where appropriate, statistically adjusting the final model with frequency weights to address over or under representation of particular patient populations.…”
Section: Discussionmentioning
confidence: 99%
“…The three topics of (a) planning and feasibility of data linkage, (b) evaluation of data linkage performance, and (c) reporting of data linkage in peer‐reviewed publications were identified as priority topics. A companion paper titled Linking Electronic Health Data in Pharmacoepidemiology: Appropriateness and Feasibility addresses the first topic . This paper addresses the latter two topics with the aim of developing a checklist for evaluation of data linkage performance and reporting data linkage specifically for pharmacoepidemiologic research.…”
Section: Methodsmentioning
confidence: 99%