scholarly journals The Evaluation of Triage Notes Using ESSENCE-FL for Active Case Finding of Zika

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Allison B. Culpepper ◽  
David Atrubin ◽  
Janet J. Hamilton
Keyword(s):  
Syndromic Surveillance ◽  
Case Finding ◽  
Chief Complaint ◽  
Urgent Care ◽  
Outbreak Detection ◽  
Free Text ◽  
Active Case Finding ◽  
Discharge Diagnosis ◽  
Active Case ◽  
Foreign Travel

ObjectiveThis study assesses the utilization of triage notes from emergencydepartments (EDs) and urgent care centers (UCCs) for active casefinding in ESSENCE-FL during the Zika response.IntroductionThe Florida Department of Health (DOH) utilizes the ElectronicSurveillance System for the Early Notification of Community BasedEpidemics (ESSENCE-FL) as its statewide syndromic surveillancesystem. ESSENCE-FL comprises of chief complaint data from231 of 240 EDs, representing 96 percent of the total number of EDsin Florida. Historically, syndromic surveillance has categorizedpatient chief complaint data into syndromes for the purpose of diseasesurveillance or outbreak detection. Triage notes are much longer free-text, pre-diagnostic data that capture the presenting symptoms andcomplaints of a patient.MethodsTriage notes are being collected from 24 EDs, representing tenpercent of total reporting EDs, and seven UCCs, representing 17%of total reporting UCCs. Triage notes were made a searchable fieldin ESSENCE-FL during Zika enhanced surveillance efforts, whichfacilitated additional case finding of Zika.During the period of February 3, 2016 – July 25, 2016, a free-textquery was created to run against the concatenated chief complaint-discharge diagnosis (CCDD) and triage note fields:^zika^,or,^ziki^,or,^zica^,or,^zeeka^,or,^zeeca^,or,^microcep^,or,^zyka^Additional queries were created to detect foreign travel visits ofinterest within the CCDD and triage note fields. Results of thesequeries were analyzed and communicated to county and regionalepidemiologists daily for investigation.ResultsThe triage note specific queries identified 18 Zika triage note and11 foreign travel triage note visits of interest. All of these visits werereviewed and investigated by county epidemiologists. These triagenote queries identified one case of Zika that had not been previouslyreported to public health. Of note, seven additional cases of Zikainfection were identified using the CCDD field in ESSENCE-FL (fiveof the seven flagged in both the CCDD and triage note field).ConclusionsResults from this analysis provide evidence that triage notes withinsyndromic surveillance systems play a role in active case finding whenemerging diseases arise. However, only 31 out of 272 total reportingfacilities are submitting triage note to ESSENCE-FL, representingonly 11% of reporting facilities.Relying on chief complaint and discharge diagnosis data onlywould have resulted in an undetected case of Zika that would havenot been captured by our free-text Zika query.The increased detection of Zika cases allows for public healthintervention, including mosquito control response, which in turnreduces the chance of Zika spreading locally in Florida. Triagenotes often provide pertinent information for determining when aflagged CCDD needs to be investigated further. Making triage notesa required data element for Meaningful Use compliance would benefitcase finding conducted through syndromic surveillance.

scholarly journals Impact of the NSSP’s transition to ESSENCE on chief complaint field-based syndromes

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Rasneet S Kumar ◽  
Jessica R White
Keyword(s):  
Time Series ◽  
Syndromic Surveillance ◽  
Data Access ◽  
Case Finding ◽  
Chief Complaint ◽  
Analytical Tool ◽  
Free Text ◽  
Guidance Document ◽  
Maricopa County ◽  
Analytical Tools

Objective: To evaluate the effect and implications of changing the chief complaint field during the National Syndromic Surveillance Program (NSSP) transition from BioSense 2.0 analytical tools to BioSense Platform – ESSENCEIntroduction: In January 2017, the NSSP transitioned their BioSense analytical tools to Electronic Surveillance System for Early Notification of Community-Based Epidemics (ESSENCE). The chief complaint field in BioSense 2.0 was a concatenation of the record’s chief complaint, admission reason, triage notes, and diagnostic impression. Following the transition to ESSENCE, the chief complaint field was comprised of the first chief complaint entered or the first admission reason, if the chief complaint was blank. Furthermore, the ESSENCE chief complaint field was electronically parsed (i.e., the original chief complaint text was altered to translate abbreviations and remove punctuation). This abstract highlights key findings from Maricopa County Department of Public Health’s evaluation of the new chief complaint field, its impact on heat-related illness syndromic surveillance, and implications for ongoing surveillance efforts.Methods: For this evaluation, we used the heat-related illness query recommended in Council of State and Territorial Epidemiologists’ (CSTE)2016 Guidance Document for Implementing Heat-Related Illness Syndromic Surveillance. Before the transition, we used BioSense 2.0’s, phpMyAdmin analytical tool to generate a list of patients who visited Maricopa County emergency departments or inpatient hospitals between 5/1/2016 – 9/30/2016 due to heat-related illness. After the transition, we used the CC and DD Category “Heat-related Illness, v1” in ESSENCE, which was based on the CSTE heat-related illness query, to generate a list of patients for the same time period. We compared the line-lists and time-series trends from phpMyAdmin and ESSENCE.Results: The phpMyAdmin analytical tool identified 785 heat-related illness records with the query (Figure). 642 (82%) of these heat-related illness records were also captured by ESSENCE. Reasons for 143 (18%) records not being identified by ESSENCE included: the patient’s admission reason field contained keywords that were not available in the ESSENCE chief complaint field (n=94, 66%); data access changed, which disabled access to patients who resided in zip codes that crossed a county border (30, 21%); discrepancies between ESSENCE parsing and text in the original chief complaint (11, 8%); heat-related illness discharge diagnoses were removed by the facility after the phpMyAdmin line-list for heat-related illness was extracted (7, 5%); and one record was undetermined. Conversely, ESSENCE captured 36 additional heat-related illness records, not previously captured by phpMyAdmin. Reasons included: a query exclusion term was located in the patient’s admission reason but not the ESSENCE chief complaint field (16, 44%); a heat-related illness discharge diagnosis code was added by the facility after the data were extracted by phpMyAdmin (4, 11%); and 16 (44%) were undetermined. Time-series trend evaluation revealed a significant correlation between the two surveillance tools (Pearson coefficient = 0.97, p < 0.01).Conclusions: Though the data trends over time were not significantly affected by changes in the chief complaint field, differences in the field’s composition have important implications for syndromic surveillance practitioners. Free-text queries designed to search the chief complaint field in ESSENCE may not retrieve records previously identified with BioSense 2.0 analytical tools, which may limit individual case-finding capacity. The elimination of admission reason from the chief complaint field in ESSENCE has the greatest effect on case-finding capacity. Furthermore, surveillance reports produced by ESSENCE cannot be directly compared to reports that were previously published with data from BioSense 2.0. These limitations may be addressed if ESSENCE creates a feature that allows users to easily query fields (e.g., admission reason) in addition to the chief compliant field.

scholarly journals Blood-based host biomarker diagnostics in active case finding for pulmonary tuberculosis: A diagnostic case-control study

2021 ◽  
pp. 100776
Author(s):  
Flora Martinez Figueira Moreira ◽  
Renu Verma ◽  
Paulo Cesar Pereira dos Santos ◽  
Alessandra Leite ◽  
Andrea da Silva Santos ◽  
...  
Keyword(s):  
Pulmonary Tuberculosis ◽  
Case Control Study ◽  
Case Control ◽  
Case Finding ◽  
Active Case Finding ◽  
Active Case ◽  
Control Study

Active case finding of pulmonary TB in a European refugee camp: Lessons learnt from Oinofyta hosting site in Greece

2021 ◽  
Author(s):  
Zisimangelos Solomos ◽  
Chrisoula Botsi ◽  
Theano Georgakopoulou ◽  
Theodore Lytras ◽  
Sotirios Tsiodras ◽  
...  
Keyword(s):  
Refugee Camp ◽  
Case Finding ◽  
Active Case Finding ◽  
Pulmonary Tb ◽  
Active Case ◽  
Lessons Learnt

scholarly journals Active Case Finding of Tuberculosis: Randomized Evaluation of Simple and Infotainment Chest Camps

2017 ◽  
Vol 82 (5) ◽  
pp. 813 ◽  
Author(s):  
Muhammad Amir Khan ◽  
Shirin Anil ◽  
Maqsood Ahmed ◽  
Ali Athar ◽  
Abdul Ghafoor ◽  
...  
Keyword(s):  
Case Finding ◽  
Active Case Finding ◽  
Active Case ◽  
Randomized Evaluation

scholarly journals Predicted Impact of Vaccination and Active Case Finding Measures to Control Epidemic of Coronavirus Disease 2019 in a Migrant-Populated Area in Thailand

2021 ◽  
Vol Volume 14 ◽  
pp. 3197-3207
Author(s):  
Rapeepong Suphanchaimat ◽  
Natthaprang Nittayasoot ◽  
Panithee Thammawijaya ◽  
Pard Teekasap ◽  
Kumnuan Ungchusak
Keyword(s):  
Case Finding ◽  
Active Case Finding ◽  
Populated Area ◽  
Active Case

scholarly journals Gerakan Siaga Masyarakat Anti-Diabetes Mellitus (SIMANIS) Melalui Kartu SIDIA (Skrining Pre-Diabetes) di Kabupaten Semarang

2020 ◽  
Vol 6 (1) ◽  
pp. 84-89
Author(s):  
Lukman Fauzi ◽  
R.R. Sri Ratna Rahayu ◽  
Lindra Anggorowati ◽  
Hendri Hariyanto ◽  
Trinita Septi Mentari ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Early Detection ◽  
Communicable Disease ◽  
Public Awareness ◽  
Knowledge Score ◽  
Case Finding ◽  
Attitude Score ◽  
Active Case Finding ◽  
Active Case ◽  
Non Communicable Disease

Diabetes Mellitus (DM) is a non-communicable disease that contributes to the cause of death. Based on the analysis of the situation in Kawengen Village, Semarang Regency, there were several problems related to the incidence of DM, including the Non-Communicable Disease Integrated Guidance Post Program (Posbindu PTM), which was not running optimally. Based on these problems, it is necessary to form a movement called the Anti-Diabetes Mellitus Community Alert Movement (SIMANIS). Active case finding and detection of pre-DM cases aim to capture people who already have pre-DM symptoms, but they do not know. Furthermore, if caught, they can be followed up so that they are willing to go to the health service unit before complications occur. The implementation of this community service activity is carried out in four stages, namely the formation of SIMANIS cadres, education on prevention and control of DM to SIMANIS cadres and the community, ToT on how to fill in and use the SIDIA Card (pre-diabetes screening) to SIMANIS cadres, and use of the SIDIA Card for early detection active case finding pre-DM. There was an increase in the pre-post education knowledge score from 7.59 + 1.5 to 8.93 + 0.9 and an increase in the pre-post education attitude score from 7.96 + 1.22 to 9.07 + 0.78. SIMANIS through the use of the SIDIA Card can be used to increase public awareness in prevention, early detection, and case finding of DM.

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