scholarly journals Public health surveillance with electronic medical records: at risk of surveillance bias and overdiagnosis

2013 ◽  
Vol 23 (3) ◽  
pp. 350-351 ◽  
Author(s):  
A. Chiolero ◽  
V. Santschi ◽  
F. Paccaud
Keyword(s):  
Public Health ◽  
At Risk ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Public Health Surveillance ◽  
Health Surveillance

scholarly journals Privacy-Preserving Record Linkage of Deidentified Records Within a Public Health Surveillance System: Evaluation Study

10.2196/16757 ◽  
2020 ◽  
Vol 22 (6) ◽  
pp. e16757 ◽  
Author(s):  
Long Nguyen ◽  
Mark Stoové ◽  
Douglas Boyle ◽  
Denton Callander ◽  
Hamish McManus ◽  
...  
Keyword(s):  
Public Health ◽  
Record Linkage ◽  
Gold Standard ◽  
Medical Records ◽  
Public Health Surveillance ◽  
Health Surveillance ◽  
Predictive Values ◽  
Data Completeness ◽  
Gold Standard Dataset ◽  
Sexually Transmissible Infections

Background The Australian Collaboration for Coordinated Enhanced Sentinel Surveillance (ACCESS) was established to monitor national testing and test outcomes for blood-borne viruses (BBVs) and sexually transmissible infections (STIs) in key populations. ACCESS extracts deidentified data from sentinel health services that include general practice, sexual health, and infectious disease clinics, as well as public and private laboratories that conduct a large volume of BBV/STI testing. An important attribute of ACCESS is the ability to accurately link individual-level records within and between the participating sites, as this enables the system to produce reliable epidemiological measures. Objective The aim of this study was to evaluate the use of GRHANITE software in ACCESS to extract and link deidentified data from participating clinics and laboratories. GRHANITE generates irreversible hashed linkage keys based on patient-identifying data captured in the patient electronic medical records (EMRs) at the site. The algorithms to produce the data linkage keys use probabilistic linkage principles to account for variability and completeness of the underlying patient identifiers, producing up to four linkage key types per EMR. Errors in the linkage process can arise from imperfect or missing identifiers, impacting the system’s integrity. Therefore, it is important to evaluate the quality of the linkages created and evaluate the outcome of the linkage for ongoing public health surveillance. Methods Although ACCESS data are deidentified, we created two gold-standard datasets where the true match status could be confirmed in order to compare against record linkage results arising from different approaches of the GRHANITE Linkage Tool. We reported sensitivity, specificity, and positive and negative predictive values where possible and estimated specificity by comparing a history of HIV and hepatitis C antibody results for linked EMRs. Results Sensitivity ranged from 96% to 100%, and specificity was 100% when applying the GRHANITE Linkage Tool to a small gold-standard dataset of 3700 clinical medical records. Medical records in this dataset contained a very high level of data completeness by having the name, date of birth, post code, and Medicare number available for use in record linkage. In a larger gold-standard dataset containing 86,538 medical records across clinics and pathology services, with a lower level of data completeness, sensitivity ranged from 94% to 95% and estimated specificity ranged from 91% to 99% in 4 of the 6 different record linkage approaches. Conclusions This study’s findings suggest that the GRHANITE Linkage Tool can be used to link deidentified patient records accurately and can be confidently used for public health surveillance in systems such as ACCESS.

scholarly journals Privacy-Preserving Record Linkage of Deidentified Records Within a Public Health Surveillance System: Evaluation Study (Preprint)

2019 ◽  
Author(s):  
Long Nguyen ◽  
Mark Stoové ◽  
Douglas Boyle ◽  
Denton Callander ◽  
Hamish McManus ◽  
...  
Keyword(s):  
Public Health ◽  
Record Linkage ◽  
Gold Standard ◽  
Medical Records ◽  
Public Health Surveillance ◽  
Health Surveillance ◽  
Predictive Values ◽  
Data Completeness ◽  
Gold Standard Dataset ◽  
Sexually Transmissible Infections

BACKGROUND The Australian Collaboration for Coordinated Enhanced Sentinel Surveillance (ACCESS) was established to monitor national testing and test outcomes for blood-borne viruses (BBVs) and sexually transmissible infections (STIs) in key populations. ACCESS extracts deidentified data from sentinel health services that include general practice, sexual health, and infectious disease clinics, as well as public and private laboratories that conduct a large volume of BBV/STI testing. An important attribute of ACCESS is the ability to accurately link individual-level records within and between the participating sites, as this enables the system to produce reliable epidemiological measures. OBJECTIVE The aim of this study was to evaluate the use of GRHANITE software in ACCESS to extract and link deidentified data from participating clinics and laboratories. GRHANITE generates irreversible hashed linkage keys based on patient-identifying data captured in the patient electronic medical records (EMRs) at the site. The algorithms to produce the data linkage keys use probabilistic linkage principles to account for variability and completeness of the underlying patient identifiers, producing up to four linkage key types per EMR. Errors in the linkage process can arise from imperfect or missing identifiers, impacting the system’s integrity. Therefore, it is important to evaluate the quality of the linkages created and evaluate the outcome of the linkage for ongoing public health surveillance. METHODS Although ACCESS data are deidentified, we created two gold-standard datasets where the true match status could be confirmed in order to compare against record linkage results arising from different approaches of the GRHANITE Linkage Tool. We reported sensitivity, specificity, and positive and negative predictive values where possible and estimated specificity by comparing a history of HIV and hepatitis C antibody results for linked EMRs. RESULTS Sensitivity ranged from 96% to 100%, and specificity was 100% when applying the GRHANITE Linkage Tool to a small gold-standard dataset of 3700 clinical medical records. Medical records in this dataset contained a very high level of data completeness by having the name, date of birth, post code, and Medicare number available for use in record linkage. In a larger gold-standard dataset containing 86,538 medical records across clinics and pathology services, with a lower level of data completeness, sensitivity ranged from 94% to 95% and estimated specificity ranged from 91% to 99% in 4 of the 6 different record linkage approaches. CONCLUSIONS This study’s findings suggest that the GRHANITE Linkage Tool can be used to link deidentified patient records accurately and can be confidently used for public health surveillance in systems such as ACCESS.

National Retail Data Monitor for Public Health Surveillance

2004 ◽  
Author(s):  
Michael M. Wagner ◽  
F-C. Tsui ◽  
J. Espino ◽  
W. Hogan ◽  
J. Hutman ◽  
...  
Keyword(s):  
Public Health ◽  
Public Health Surveillance ◽  
Health Surveillance

Disaggregation of Latina/o Child and Adult Health Data: A Systematic Review of Public Health Surveillance Surveys in the United States

2021 ◽  
Vol 40 (1) ◽  
pp. 61-79
Author(s):  
Carmela Alcántara ◽  
Shakira F. Suglia ◽  
Irene Perez Ibarra ◽  
A. Louise Falzon ◽  
Elliot McCullough ◽  
...  
Keyword(s):  
Public Health ◽  
United States ◽  
Systematic Review ◽  
Public Health Surveillance ◽  
The United States ◽  
Health Data ◽  
Health Surveillance ◽  
Adult Health

Assessment of genotoxic effects on elderly populations exposed to high traffic areas: Results for supporting public health surveillance

2019 ◽  
Vol 179 ◽  
pp. 108752
Author(s):  
Boscolli Barbosa Pereira ◽  
Vanessa Santana Vieira Santos ◽  
Érica Prado Domingues ◽  
Guilherme Gomes Silva ◽  
Paolla Brandão da Cunha ◽  
...  
Keyword(s):  
Public Health ◽  
Public Health Surveillance ◽  
Health Surveillance ◽  
Genotoxic Effects ◽  
Elderly Populations

Public Health Surveillance for Coccidioidomycosis in Arizona

2007 ◽  
Vol 1111 (1) ◽  
pp. 96-102 ◽  
Author(s):  
R. H. SUNENSHINE ◽  
S. ANDERSON ◽  
L. ERHART ◽  
A. VOSSBRINK ◽  
P. C. KELLY ◽  
...  
Keyword(s):  
Public Health ◽  
Public Health Surveillance ◽  
Health Surveillance

scholarly journals A COVID ‐19‐ready public health surveillance system: The FDA 's Sentinel System

2021 ◽  
Author(s):  
Noelle M. Cocoros ◽  
Candace C. Fuller ◽  
Sruthi Adimadhyam ◽  
Robert Ball ◽  
Jeffrey S. Brown ◽  
...  
Keyword(s):  
Public Health ◽  
Surveillance System ◽  
Public Health Surveillance ◽  
Health Surveillance ◽  
Public Health Surveillance System
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