Literature DB >> 26916672

Considerations for the analysis of longitudinal electronic health records linked to claims data to study the effectiveness and safety of drugs.

K J Lin1,2,3, S Schneeweiss1,3.   

Abstract

Health insurance claims and electronic health records (EHR) databases have been considered the preferred data sources with which to study drug safety and effectiveness in routine care. Linking claims data to EHR allows researchers to leverage the complementary advantages of each data source to enhance study validity. We propose a framework to evaluate the need for supplementing claims data with EHR and vice versa to optimize outcome ascertainment, exposure assessment, and confounding adjustment.
© 2016 American Society for Clinical Pharmacology and Therapeutics.

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Year:  2016        PMID: 26916672     DOI: 10.1002/cpt.359

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  19 in total

1.  Comparison of Outcomes Following a Switch From a Brand to an Authorized Versus Independent Generic Drug.

Authors:  R A Hansen; J Qian; R L Berg; J G Linneman; E Seoane-Vazquez; S Dutcher; S Raofi; C D Page; P L Peissig
Journal:  Clin Pharmacol Ther       Date:  2017-10-10       Impact factor: 6.875

Review 2.  Update on Data Reuse in Health Care.

Authors:  C Safran
Journal:  Yearb Med Inform       Date:  2017-09-11

3.  Assessing and Interpreting Real-World Evidence Studies: Introductory Points for New Reviewers.

Authors:  Shirley V Wang; Sebastian Schneeweiss
Journal:  Clin Pharmacol Ther       Date:  2021-09-01       Impact factor: 6.875

4.  Use of Linked Databases for Improved Confounding Control: Considerations for Potential Selection Bias.

Authors:  Jenny W Sun; Rui Wang; Dongdong Li; Sengwee Toh
Journal:  Am J Epidemiol       Date:  2022-03-24       Impact factor: 5.363

5.  Data Consult Service: Can we use observational data to address immediate clinical needs?

Authors:  Anna Ostropolets; Philip Zachariah; Patrick Ryan; Ruijun Chen; George Hripcsak
Journal:  J Am Med Inform Assoc       Date:  2021-09-18       Impact factor: 7.942

6.  Using Rich Data on Comorbidities in Case-Control Study Design with Electronic Health Record Data Improves Control of Confounding in the Detection of Adverse Drug Reactions.

Authors:  Daniel Backenroth; Herbert Chase; Carol Friedman; Ying Wei
Journal:  PLoS One       Date:  2016-10-07       Impact factor: 3.240

Review 7.  Big Data's Role in Precision Public Health.

Authors:  Shawn Dolley
Journal:  Front Public Health       Date:  2018-03-07

8.  Effectiveness of liraglutide 3 mg for the treatment of obesity in a real-world setting without intensive lifestyle intervention.

Authors:  Jung Ha Park; Ju Young Kim; Jong Han Choi; Hye Soon Park; Hyun-Young Shin; Jae Min Lee; Jin-Wook Kim; Hae-Jin Ko; Suk Chon; Bu Kyung Kim; Chul Sik Kim; Soo Lim
Journal:  Int J Obes (Lond)       Date:  2021-01-20       Impact factor: 5.095

Review 9.  Prediction Score for Anticoagulation Control Quality Among Older Adults.

Authors:  Kueiyu Joshua Lin; Daniel E Singer; Robert J Glynn; Suzanne Blackley; Li Zhou; Jun Liu; Gina Dube; Lynn B Oertel; Sebastian Schneeweiss
Journal:  J Am Heart Assoc       Date:  2017-10-05       Impact factor: 5.501

Review 10.  Automated data-adaptive analytics for electronic healthcare data to study causal treatment effects.

Authors:  Sebastian Schneeweiss
Journal:  Clin Epidemiol       Date:  2018-07-06       Impact factor: 4.790

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