Disease associations depend on visit type: results from a visit-wide association study
Abstract Introduction Widespread adoption of Electronic Health Records (EHR) increased the number of reported disease association studies, or Phenome-Wide Association Studies (PheWAS). Traditional PheWAS studies ignore visit type (i.e., department/service conducting the visit). In this study, we inv...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2019-07-01
|
| Series: | BioData Mining |
| Online Access: | http://link.springer.com/article/10.1186/s13040-019-0203-2 |
| _version_ | 1819080963399876608 |
|---|---|
| author | Mary Regina Boland Snigdha Alur-Gupta Lisa Levine Peter Gabriel Graciela Gonzalez-Hernandez |
| author_facet | Mary Regina Boland Snigdha Alur-Gupta Lisa Levine Peter Gabriel Graciela Gonzalez-Hernandez |
| author_sort | Mary Regina Boland |
| collection | DOAJ |
| description | Abstract Introduction Widespread adoption of Electronic Health Records (EHR) increased the number of reported disease association studies, or Phenome-Wide Association Studies (PheWAS). Traditional PheWAS studies ignore visit type (i.e., department/service conducting the visit). In this study, we investigate the role of visit type on disease association results in the first Visit-Wide Association Study or ‘VisitWAS’. Results We studied this visit type effect on association results using EHR data from the University of Pennsylvania. Penn EHR data comes from 1,048 different departments and clinics. We analyzed differences between cancer and obstetrics/gynecologist (Ob/Gyn) visits. Some findings were expected (i.e., increase of neoplasm diagnoses among cancer visits), but others were surprising, including an increase in infectious disease conditions among those visiting the Ob/Gyn. Conclusion We conclude that assessing visit type is important for EHR studies because different medical centers have different visit type distributions. To increase reproducibility among EHR data mining algorithms, we recommend that researchers report visit type in studies. |
| first_indexed | 2024-12-21T19:53:14Z |
| format | Article |
| id | doaj.art-ee4cf0cb20764882b2aa0ecbdd8b17fa |
| institution | Directory Open Access Journal |
| issn | 1756-0381 |
| language | English |
| last_indexed | 2024-12-21T19:53:14Z |
| publishDate | 2019-07-01 |
| publisher | BMC |
| record_format | Article |
| series | BioData Mining |
| spelling | doaj.art-ee4cf0cb20764882b2aa0ecbdd8b17fa2022-12-21T18:52:10ZengBMCBioData Mining1756-03812019-07-0112111010.1186/s13040-019-0203-2Disease associations depend on visit type: results from a visit-wide association studyMary Regina Boland0Snigdha Alur-Gupta1Lisa Levine2Peter Gabriel3Graciela Gonzalez-Hernandez4Department of Biostatistics, Epidemiology & Informatics, University of PennsylvaniaDepartment of Obstetrics & Gynecology, University of PennsylvaniaDepartment of Obstetrics & Gynecology, University of PennsylvaniaDepartment of Radiology, University of PennsylvaniaDepartment of Biostatistics, Epidemiology & Informatics, University of PennsylvaniaAbstract Introduction Widespread adoption of Electronic Health Records (EHR) increased the number of reported disease association studies, or Phenome-Wide Association Studies (PheWAS). Traditional PheWAS studies ignore visit type (i.e., department/service conducting the visit). In this study, we investigate the role of visit type on disease association results in the first Visit-Wide Association Study or ‘VisitWAS’. Results We studied this visit type effect on association results using EHR data from the University of Pennsylvania. Penn EHR data comes from 1,048 different departments and clinics. We analyzed differences between cancer and obstetrics/gynecologist (Ob/Gyn) visits. Some findings were expected (i.e., increase of neoplasm diagnoses among cancer visits), but others were surprising, including an increase in infectious disease conditions among those visiting the Ob/Gyn. Conclusion We conclude that assessing visit type is important for EHR studies because different medical centers have different visit type distributions. To increase reproducibility among EHR data mining algorithms, we recommend that researchers report visit type in studies.http://link.springer.com/article/10.1186/s13040-019-0203-2 |
| spellingShingle | Mary Regina Boland Snigdha Alur-Gupta Lisa Levine Peter Gabriel Graciela Gonzalez-Hernandez Disease associations depend on visit type: results from a visit-wide association study BioData Mining |
| title | Disease associations depend on visit type: results from a visit-wide association study |
| title_full | Disease associations depend on visit type: results from a visit-wide association study |
| title_fullStr | Disease associations depend on visit type: results from a visit-wide association study |
| title_full_unstemmed | Disease associations depend on visit type: results from a visit-wide association study |
| title_short | Disease associations depend on visit type: results from a visit-wide association study |
| title_sort | disease associations depend on visit type results from a visit wide association study |
| url | http://link.springer.com/article/10.1186/s13040-019-0203-2 |
| work_keys_str_mv | AT maryreginaboland diseaseassociationsdependonvisittyperesultsfromavisitwideassociationstudy AT snigdhaalurgupta diseaseassociationsdependonvisittyperesultsfromavisitwideassociationstudy AT lisalevine diseaseassociationsdependonvisittyperesultsfromavisitwideassociationstudy AT petergabriel diseaseassociationsdependonvisittyperesultsfromavisitwideassociationstudy AT gracielagonzalezhernandez diseaseassociationsdependonvisittyperesultsfromavisitwideassociationstudy |