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. 2018 Dec;98(6):476-481.
doi: 10.1016/j.contraception.2018.06.005. Epub 2018 Jun 22.

Use of an electronic health record data sharing system for identifying current contraceptive use within the WWAMI region Practice and Research Network

Emily M Godfrey  1 , Imara I West  2 , John Holmes  3 , Gina A Keppel  4 , Laura-Mae Baldwin  4
Affiliations

Use of an electronic health record data sharing system for identifying current contraceptive use within the WWAMI region Practice and Research Network

Emily M Godfrey et al. Contraception. 2018 Dec.

Abstract

Objective: To evaluate the ability of electronic health record (EHR) data extracted into a data-sharing system to accurately identify contraceptive use.

Study design: We compared rates of contraceptive use from electronic extraction of EHR data via a data-sharing system and manual abstraction of the EHR among 142 female patients ages 15-49 years from a family medicine clinic within a primary care practice-based research network (PBRN). Cohen's kappa coefficient measured agreement between electronic extraction and manual abstraction.

Results: Manual abstraction identified 62% of women as contraceptive users, whereas electronic extraction identified only 27%. Long acting reversible (LARC) methods had 96% agreement (Cohen's kappa 0.78; confidence interval, 0.57-0.99) between electronic extraction and manual abstraction. EHR data extracted via a data-sharing system was unable to identify barrier or over-the-counter contraceptives.

Conclusions: Electronic extraction found substantially lower overall rates of contraceptive method use, but produced more comparable LARC method use rates when compared to manual abstraction among women in this study's primary care clinic.

Implications: Quality metrics related to contraceptive use that rely on EHR data in this study's data-sharing system likely under-estimated true contraceptive use.

Keywords: abstraction; contraception; data-sharing system; electronic health record; extraction; guidelines.

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Conflict of interest statement

Conflict of interest/Disclosure statement: EMG receives compensation as an instructor from Merck. The UW Department of Family Medicine receives research funding from Merck, Bayer and Teva. There are no other conflicts of interest.

Figures

Figure 1:
Figure 1:
Inclusion flow for the agreement of electronic extraction and manual abstraction on contraceptive methods
See this image and copyright information in PMC

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