Methods of defining hypertension in electronic medical records: validation against national survey data
ABSTRACT Objectives Electronic medical records (EMR) can be a cost-effective source for hypertension surveillance. However, diagnosis of hypertension in EMR is commonly under-coded and warrants the needs to review blood pressure and antihypertensive drugs for hypertension case identification. To ad...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Swansea University
2017-04-01
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| Series: | International Journal of Population Data Science |
| Online Access: | https://ijpds.org/article/view/57 |
| _version_ | 1827615516139716608 |
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| author | Mingkai Peng Guanmin Chen Gilaad Kaplan Lisa Lix Neil Drummond Kelsey Lucyk Stephanie Garies Mark Lowerison Samuel Weibe Hude Quan |
| author_facet | Mingkai Peng Guanmin Chen Gilaad Kaplan Lisa Lix Neil Drummond Kelsey Lucyk Stephanie Garies Mark Lowerison Samuel Weibe Hude Quan |
| author_sort | Mingkai Peng |
| collection | DOAJ |
| description | ABSTRACT
Objectives
Electronic medical records (EMR) can be a cost-effective source for hypertension surveillance. However, diagnosis of hypertension in EMR is commonly under-coded and warrants the needs to review blood pressure and antihypertensive drugs for hypertension case identification. To advocate for the use of EMR data for research, we developed methods for defining hypertension using diagnosis codes, blood pressure measurements and antihypertensive drug prescription
Approach
We included all the patients actively registered in The Health Improvement Network (THIN) database, UK, on 31 December 2011. Three case definitions using diagnosis code, antihypertensive drug prescriptions and abnormal blood pressure, respectively, were used to identify hypertension patients. We compared the prevalence and treatment rate of hypertension in THIN with results from Health Survey for England (HSE) in 2011.
Results
Compared with prevalence reported by HSE (29.7%), the use of diagnosis code alone (14.0%) underestimated hypertension prevalence. The use of any of the definitions (38.4%) or the combination of antihypertensive drug prescriptions and abnormal blood pressure (38.4%) had the higher prevalence than HSE. The use of diagnosis code or two abnormal blood pressure records within a 2-year period (31.1%) had similar prevalence and treatment rate of hypertension with HSE.
Conclusions
Different definitions should be used for different study purposes. The definition of ‘diagnosis code or two abnormal blood pressure records with a 2-year period’ could be used for hypertension surveillance in THIN. |
| first_indexed | 2024-03-09T09:12:59Z |
| format | Article |
| id | doaj.art-7b7870aab6e649d893c4fa603cf2ee7c |
| institution | Directory Open Access Journal |
| issn | 2399-4908 |
| language | English |
| last_indexed | 2024-03-09T09:12:59Z |
| publishDate | 2017-04-01 |
| publisher | Swansea University |
| record_format | Article |
| series | International Journal of Population Data Science |
| spelling | doaj.art-7b7870aab6e649d893c4fa603cf2ee7c2023-12-02T08:11:04ZengSwansea UniversityInternational Journal of Population Data Science2399-49082017-04-011110.23889/ijpds.v1i1.5757Methods of defining hypertension in electronic medical records: validation against national survey dataMingkai Peng0Guanmin Chen1Gilaad Kaplan2Lisa Lix3Neil Drummond4Kelsey Lucyk5Stephanie Garies6Mark Lowerison7Samuel Weibe8Hude Quan9University of CalgaryAlberta Health ServicesUniversity of CalgaryUniversity of ManitobaUniversity of AlbertaUniversity of CalgaryUniversity of CalgaryUniversity of CalgaryUniversity of CalgaryUniversity of CalgaryABSTRACT Objectives Electronic medical records (EMR) can be a cost-effective source for hypertension surveillance. However, diagnosis of hypertension in EMR is commonly under-coded and warrants the needs to review blood pressure and antihypertensive drugs for hypertension case identification. To advocate for the use of EMR data for research, we developed methods for defining hypertension using diagnosis codes, blood pressure measurements and antihypertensive drug prescription Approach We included all the patients actively registered in The Health Improvement Network (THIN) database, UK, on 31 December 2011. Three case definitions using diagnosis code, antihypertensive drug prescriptions and abnormal blood pressure, respectively, were used to identify hypertension patients. We compared the prevalence and treatment rate of hypertension in THIN with results from Health Survey for England (HSE) in 2011. Results Compared with prevalence reported by HSE (29.7%), the use of diagnosis code alone (14.0%) underestimated hypertension prevalence. The use of any of the definitions (38.4%) or the combination of antihypertensive drug prescriptions and abnormal blood pressure (38.4%) had the higher prevalence than HSE. The use of diagnosis code or two abnormal blood pressure records within a 2-year period (31.1%) had similar prevalence and treatment rate of hypertension with HSE. Conclusions Different definitions should be used for different study purposes. The definition of ‘diagnosis code or two abnormal blood pressure records with a 2-year period’ could be used for hypertension surveillance in THIN.https://ijpds.org/article/view/57 |
| spellingShingle | Mingkai Peng Guanmin Chen Gilaad Kaplan Lisa Lix Neil Drummond Kelsey Lucyk Stephanie Garies Mark Lowerison Samuel Weibe Hude Quan Methods of defining hypertension in electronic medical records: validation against national survey data International Journal of Population Data Science |
| title | Methods of defining hypertension in electronic medical records: validation against national survey data |
| title_full | Methods of defining hypertension in electronic medical records: validation against national survey data |
| title_fullStr | Methods of defining hypertension in electronic medical records: validation against national survey data |
| title_full_unstemmed | Methods of defining hypertension in electronic medical records: validation against national survey data |
| title_short | Methods of defining hypertension in electronic medical records: validation against national survey data |
| title_sort | methods of defining hypertension in electronic medical records validation against national survey data |
| url | https://ijpds.org/article/view/57 |
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