Cargando…
Generalizability of Indicators from the New York City Macroscope Electronic Health Record Surveillance System to Systems Based on Other EHR Platforms
INTRODUCTION: The New York City (NYC) Macroscope is an electronic health record (EHR) surveillance system based on a distributed network of primary care records from the Hub Population Health System. In a previous 3-part series published in eGEMS, we reported the validity of health indicators from t...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ubiquity Press
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982844/ https://www.ncbi.nlm.nih.gov/pubmed/29881742 http://dx.doi.org/10.5334/egems.247 |
_version_ | 1783328321963032576 |
---|---|
author | McVeigh, Katharine H. Lurie-Moroni, Elizabeth Chan, Pui Ying Newton-Dame, Remle Schreibstein, Lauren Tatem, Kathleen S. Romo, Matthew L. Thorpe, Lorna E. Perlman, Sharon E. |
author_facet | McVeigh, Katharine H. Lurie-Moroni, Elizabeth Chan, Pui Ying Newton-Dame, Remle Schreibstein, Lauren Tatem, Kathleen S. Romo, Matthew L. Thorpe, Lorna E. Perlman, Sharon E. |
author_sort | McVeigh, Katharine H. |
collection | PubMed |
description | INTRODUCTION: The New York City (NYC) Macroscope is an electronic health record (EHR) surveillance system based on a distributed network of primary care records from the Hub Population Health System. In a previous 3-part series published in eGEMS, we reported the validity of health indicators from the NYC Macroscope; however, questions remained regarding their generalizability to other EHR surveillance systems. METHODS: We abstracted primary care chart data from more than 20 EHR software systems for 142 participants of the 2013–14 NYC Health and Nutrition Examination Survey who did not contribute data to the NYC Macroscope. We then computed the sensitivity and specificity for indicators, comparing data abstracted from EHRs with survey data. RESULTS: Obesity and diabetes indicators had moderate to high sensitivity (0.81–0.96) and high specificity (0.94–0.98). Smoking status and hypertension indicators had moderate sensitivity (0.78–0.90) and moderate to high specificity (0.88–0.98); sensitivity improved when the sample was restricted to records from providers who attested to Stage 1 Meaningful Use. Hyperlipidemia indicators had moderate sensitivity (≥0.72) and low specificity (≤0.59), with minimal changes when restricting to Stage 1 Meaningful Use. DISCUSSION: Indicators for obesity and diabetes used in the NYC Macroscope can be adapted to other EHR surveillance systems with minimal validation. However, additional validation of smoking status and hypertension indicators is recommended and further development of hyperlipidemia indicators is needed. CONCLUSION: Our findings suggest that many of the EHR-based surveillance indicators developed and validated for the NYC Macroscope are generalizable for use in other EHR surveillance systems. |
format | Online Article Text |
id | pubmed-5982844 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Ubiquity Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-59828442018-06-07 Generalizability of Indicators from the New York City Macroscope Electronic Health Record Surveillance System to Systems Based on Other EHR Platforms McVeigh, Katharine H. Lurie-Moroni, Elizabeth Chan, Pui Ying Newton-Dame, Remle Schreibstein, Lauren Tatem, Kathleen S. Romo, Matthew L. Thorpe, Lorna E. Perlman, Sharon E. EGEMS (Wash DC) Research INTRODUCTION: The New York City (NYC) Macroscope is an electronic health record (EHR) surveillance system based on a distributed network of primary care records from the Hub Population Health System. In a previous 3-part series published in eGEMS, we reported the validity of health indicators from the NYC Macroscope; however, questions remained regarding their generalizability to other EHR surveillance systems. METHODS: We abstracted primary care chart data from more than 20 EHR software systems for 142 participants of the 2013–14 NYC Health and Nutrition Examination Survey who did not contribute data to the NYC Macroscope. We then computed the sensitivity and specificity for indicators, comparing data abstracted from EHRs with survey data. RESULTS: Obesity and diabetes indicators had moderate to high sensitivity (0.81–0.96) and high specificity (0.94–0.98). Smoking status and hypertension indicators had moderate sensitivity (0.78–0.90) and moderate to high specificity (0.88–0.98); sensitivity improved when the sample was restricted to records from providers who attested to Stage 1 Meaningful Use. Hyperlipidemia indicators had moderate sensitivity (≥0.72) and low specificity (≤0.59), with minimal changes when restricting to Stage 1 Meaningful Use. DISCUSSION: Indicators for obesity and diabetes used in the NYC Macroscope can be adapted to other EHR surveillance systems with minimal validation. However, additional validation of smoking status and hypertension indicators is recommended and further development of hyperlipidemia indicators is needed. CONCLUSION: Our findings suggest that many of the EHR-based surveillance indicators developed and validated for the NYC Macroscope are generalizable for use in other EHR surveillance systems. Ubiquity Press 2017-12-07 /pmc/articles/PMC5982844/ /pubmed/29881742 http://dx.doi.org/10.5334/egems.247 Text en Copyright: © 2018 The Author(s) https://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0), which permits unrestricted use and distribution, for non-commercial purposes, as long as the original material has not been modified, and provided the original author and source are credited. See https://creativecommons.org/licenses/by-nc-nd/3.0/. |
spellingShingle | Research McVeigh, Katharine H. Lurie-Moroni, Elizabeth Chan, Pui Ying Newton-Dame, Remle Schreibstein, Lauren Tatem, Kathleen S. Romo, Matthew L. Thorpe, Lorna E. Perlman, Sharon E. Generalizability of Indicators from the New York City Macroscope Electronic Health Record Surveillance System to Systems Based on Other EHR Platforms |
title | Generalizability of Indicators from the New York City Macroscope Electronic Health Record Surveillance System to Systems Based on Other EHR Platforms |
title_full | Generalizability of Indicators from the New York City Macroscope Electronic Health Record Surveillance System to Systems Based on Other EHR Platforms |
title_fullStr | Generalizability of Indicators from the New York City Macroscope Electronic Health Record Surveillance System to Systems Based on Other EHR Platforms |
title_full_unstemmed | Generalizability of Indicators from the New York City Macroscope Electronic Health Record Surveillance System to Systems Based on Other EHR Platforms |
title_short | Generalizability of Indicators from the New York City Macroscope Electronic Health Record Surveillance System to Systems Based on Other EHR Platforms |
title_sort | generalizability of indicators from the new york city macroscope electronic health record surveillance system to systems based on other ehr platforms |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982844/ https://www.ncbi.nlm.nih.gov/pubmed/29881742 http://dx.doi.org/10.5334/egems.247 |
work_keys_str_mv | AT mcveighkatharineh generalizabilityofindicatorsfromthenewyorkcitymacroscopeelectronichealthrecordsurveillancesystemtosystemsbasedonotherehrplatforms AT luriemoronielizabeth generalizabilityofindicatorsfromthenewyorkcitymacroscopeelectronichealthrecordsurveillancesystemtosystemsbasedonotherehrplatforms AT chanpuiying generalizabilityofindicatorsfromthenewyorkcitymacroscopeelectronichealthrecordsurveillancesystemtosystemsbasedonotherehrplatforms AT newtondameremle generalizabilityofindicatorsfromthenewyorkcitymacroscopeelectronichealthrecordsurveillancesystemtosystemsbasedonotherehrplatforms AT schreibsteinlauren generalizabilityofindicatorsfromthenewyorkcitymacroscopeelectronichealthrecordsurveillancesystemtosystemsbasedonotherehrplatforms AT tatemkathleens generalizabilityofindicatorsfromthenewyorkcitymacroscopeelectronichealthrecordsurveillancesystemtosystemsbasedonotherehrplatforms AT romomatthewl generalizabilityofindicatorsfromthenewyorkcitymacroscopeelectronichealthrecordsurveillancesystemtosystemsbasedonotherehrplatforms AT thorpelornae generalizabilityofindicatorsfromthenewyorkcitymacroscopeelectronichealthrecordsurveillancesystemtosystemsbasedonotherehrplatforms AT perlmansharone generalizabilityofindicatorsfromthenewyorkcitymacroscopeelectronichealthrecordsurveillancesystemtosystemsbasedonotherehrplatforms |