Missing laboratory results data in electronic health databases: implications for monitoring diabetes risk.

Abstract:

AIM:Laboratory test (lab) results may be useful to detect incident diabetes in electronic health record and claims-based studies. RESEARCH DESIGN & METHODS:Using the Mini-Sentinel distributed database, we assessed the value of lab results added to diagnosis codes and dispensing claims to identify incident diabetes. RESULTS:Inclusion of lab results increased the number of diabetes outcomes identified by 21%. In settings where capture of lab results was relatively complete, the absence of lab results was associated with implausibly low rates of the outcome. CONCLUSION:Lab results can increase sensitivity of algorithms for detecting diabetes, and missing lab results are associated with much lower rates of diabetes ascertainment regardless of algorithm. Patterns of missing lab results may identify ascertainment bias.

journal_name

J Comp Eff Res

authors

Flory JH,Roy J,Gagne JJ,Haynes K,Herrinton L,Lu C,Patorno E,Shoaibi A,Raebel MA

doi

10.2217/cer-2016-0033

subject

Has Abstract

pub_date

2017-01-01 00:00:00

pages

25-32

issue

1

eissn

2042-6305

issn

2042-6313

journal_volume

6

pub_type

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