scholarly journals Evaluation of REDCap to Supplement Foodborne Disease Surveillance Systems

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Mugdha Golwakar ◽  
Kailey Lewis ◽  
Marcy McMillan ◽  
Katie Garman ◽  
John Dunn ◽  
...  
Keyword(s):  
Public Health ◽  
Data Management ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Data Entry ◽  
Surveillance Systems ◽  
Foodborne Disease ◽  
Routine Surveillance ◽  
Data Elements ◽  
Successes And Challenges

ObjectiveThe objective of this study is to evaluate the use of a supplementary data management application to meet surveillance demands for foodborne disease in Tennessee and to highlight successes, challenges, and opportunities identified through this process.IntroductionThe Tennessee Department of Health (TDH) Foodborne Disease Program conducts routine surveillance for foodborne illnesses and enteric disease outbreaks and participates in statewide enhanced surveillance as part of the Foodborne Disease Center for Outbreak Response Enhancement (FoodCORE) and the Foodborne Diseases Active Surveillance Network (FoodNet) supported by the Centers for Disease Control and Prevention (CDC). TDH uses the CDC NEDSS Base System (NBS) application for routine disease surveillance. However, NBS serves multiple disease programs within TDH and modifications to the system for the rapidly changing data demands, grant requirements, and outbreak needs of the foodborne program, may not be a priority for the system as a whole. In 2014, the TDH Foodborne Disease Program began using the Research Electronic Data Capture (REDCap) application as a solution to changing surveillance needs. FoodCORE, FoodNet, and routine surveillance data elements are entered into REDCap to supplement NBS, depending on program specific needs and system capability.MethodsREDCap was queried for FoodCORE, FoodNet, and routine surveillance projects. Projects were categorized by surveillance activity type. Epidemiologists provided qualitative feedback on successes and challenges in using REDCap to supplement NBS, which were then categorized into attributes according to existing frameworks for evaluating public health surveillance systems.1, 2ResultsAs of August 2018, the TDH Foodborne program housed 45 individual REDCap databases dedicated to surveillance. Four primary database categories were identified: routine case-based surveillance (8), enhanced/active surveillance (6), aggregate outbreak/cluster surveillance tracking (6), and outbreak-specific databases (25). The REDCap application programming interface (API) and an open database connection to NBS within SAS 9.4 (Cary, NC) were used to create unilateral data flow from NBS to REDCap, where possible. Successes and challenges in using REDCap fell into six main surveillance system attributes: Flexibility, Ease of Data Management, Stability, Simplicity, Efficiency, and Acceptability. Successes included the high level of control over data and databases offered by REDCap, the flexibility to rapidly implement program-specific changes, and the accessibility and reliability of REDCap as a de facto back-up of NBS data. Challenges included lack of interoperability between REDCap databases and with NBS, leading to dual data entry, overuse of REDCap resulting in unnecessarily complex and decentralized data storage (Figure 1), and increased personnel time on data management and extraction for metrics and reports.ConclusionsUsing REDCap in Tennessee to supplement an existing disease surveillance application increased flexibility and functionality of the foodborne disease surveillance system, but also added complexity and time involved in data management. The Nationally Notifiable Diseases Surveillance System Modernization Initiative (NMI) is developing a standardized message mapping guide (MMG) in collaboration with states and CDC, which incorporates FoodNet data elements and would transition data collection tools in NBS for foodborne diseases to a more portable and flexible format. Implementation of this MMG could minimize case-based data entry into REDCap. Tools that offer increased interoperability between NBS and REDCap and between REDCap databases could also improve the efficiency of using complementary applications for rapidly changing foodborne disease surveillance needs.References1. German RR, Lee LM, Horan JM, Milstein RL, Pertowski CA, Waller MN. Updated guidelines for evaluating public health surveillance systems: recommendations from the guidelines working group. MMWR Recomm Rep. 2001;50(Rr-13):1–35.2. Calba C, Goutard FL, Hoinville L, et al. Surveillance systems evaluation: a systematic review of the existing approaches. BMC Public Health. 2015;15:448. doi:10.1186/s12889-015-1791-5. 

Public Health Surveillance System

2021 ◽  
pp. 201-220
Author(s):  
Manish Kumar Dwivedi ◽  
Suvashish Kumar Pandey ◽  
Prashant Kumar Singh
Keyword(s):  
Public Health ◽  
Infectious Disease ◽  
Infectious Diseases ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Performance Measure ◽  
Surveillance Systems ◽  
Global Public Health ◽  
Global Coverage ◽  
Public Health Surveillance System

To guard people against some grave infectious disease, the surveillance system is a key performance measure of global public health threats and vulnerability. The diseases surveillance system helps in public health monitor, control, and prevent infectious diseases. Infectious diseases remain major causes of death. It's important to monitor and surveillance worldwide for developing a framework for risk assessment and health regulation. Surveillance systems help us in understanding the factors driving infectious disease and developing new technological aptitudes with modeling, pathogen determination, characterization, diagnostics, and communications. This chapter discussed surveillance system working, progress toward global public healthy society considering perspectives for the future and improvement of infectious disease surveillance without limited and fragmented capabilities, and making even global coverage.

scholarly journals Evaluation of Public Health Surveillance Systems in Refugee Settlements in Uganda, 2016 - 2019: Lessons Learnt

2021 ◽  
Author(s):  
Alex Riolexus Ario ◽  
Emily Atuheire Barigye ◽  
Innocent Harbert Nkonwa ◽  
Jimmy Ogwal ◽  
Denis Nixon Opio ◽  
...  
Keyword(s):  
Public Health ◽  
Data Analysis ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Public Health Surveillance ◽  
Health Surveillance ◽  
Health Facilities ◽  
Surveillance Systems ◽  
Village Health ◽  
Village Health Teams

Abstract BackgroundCivil wars in the Great Lakes region resulted in massive displacement of people to neighboring countries including Uganda, with associated humanitarian emergencies. Appropriate disease surveillance enables timely detection and response to outbreaks. We describe evaluation of the public health surveillance system in refugee settlements in Uganda and document lessons learnt.MethodsWe conducted a cross-sectional survey using the US CDC Updated Guidelines for Evaluating Public Health Surveillance Systems in four refugee settlements in Uganda i.e., Bidibidi, Adjumani, Kiryandongo and Rhino Camp. Using semi-structured questionnaires, key informant and focus group discussion guides, we interviewed health facility in-charges, key personnel and village health teams from 4 districts, 53 health facilities and 112 villages.ResultsAll health facilities assessed had key surveillance staff; 60% were trained on IDSR and most village health teams were trained on disease surveillance. Case detection was at 55%; facilities lacked standard case definitions (SCDs) and were using parallel Implementing Partner (IP) driven reporting system. Recording was at 79% and reporting was at 81%. Data analysis and interpretation was at 49%. Confirmation of outbreaks and events was at 76%. Preparedness was at 72% and response was at 34%. Feedback was at 82%. Recording, reporting, preparedness, feedback and confirmation of outbreaks and events were highly achieved, and capacity to evaluate and improve the system was moderately achieved. There were low scores in capacity to detect, respond and analyse data.ConclusionPublic health surveillance system had high sensitivity, timeliness and predictive value positive. It was simple, acceptable with fair data quality attributes. It was less flexible, less stable with low representativeness. The system had good recording, reporting, preparedness, feedback and confirmation of outbreaks and events. The capacity for detection, response and data analysis and interpretation was low. Lessons learnt were: IPs offer tremendous support to surveillance; training of surveillance staff on IDSR maintains effective surveillance functions; supplies of tools, personnel etc. should be planned and executed; functionalization of district teams ensures achievement of surveillance functions and attributes; regular support supervision of health facilities necessary; harmonization of reporting improves surveillance functions and attributes; appropriation of funds to districts to support refugee settlements is complementary.

Will integrated surveillance systems for vectors and vector-borne diseases be the future of controlling vector-borne diseases? A practical example from China

2016 ◽  
Vol 144 (9) ◽  
pp. 1895-1903 ◽  
Author(s):  
Y. WU ◽  
F. LING ◽  
J. HOU ◽  
S. GUO ◽  
J. WANG ◽  
...  
Keyword(s):  
Public Health ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Monitoring Systems ◽  
Disease Monitoring ◽  
Surveillance Systems ◽  
Control Vector ◽  
Notifiable Disease ◽  
Vector Borne Diseases ◽  
Vector Borne

SUMMARYVector-borne diseases are one of the world's major public health threats and annually responsible for 30–50% of deaths reported to the national notifiable disease system in China. To control vector-borne diseases, a unified, effective and economic surveillance system is urgently needed; all of the current surveillance systems in China waste resources and/or information. Here, we review some current surveillance systems and present a concept for an integrated surveillance system combining existing vector and vector-borne disease monitoring systems. The integrated surveillance system has been tested in pilot programmes in China and led to a 21·6% cost saving in rodent-borne disease surveillance. We share some experiences gained from these programmes.

scholarly journals Enhancing Disease Surveillance Event Communication among Jurisdictions

2009 ◽  
Vol 2 ◽  
pp. BII.S3523
Author(s):  
Nathaniel R. Tabernero ◽  
Wayne A. Loschen ◽  
Joel Jorgensen ◽  
Joshua Suereth ◽  
Jacqueline S. Coberly ◽  
...  
Keyword(s):  
Public Health ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Common Ground ◽  
Software Tool ◽  
Surveillance Systems ◽  
Communication Tool ◽  
Web Based ◽  
Disease Surveillance System ◽  
Public Health Officials

Automated disease surveillance systems are becoming widely used by the public health community. However, communication among non-collocated and widely dispersed users still needs improvement. A web-based software tool for enhancing user communications was completely integrated into an existing automated disease surveillance system and was tested during two simulated exercises and operational use involving multiple jurisdictions. Evaluation of this tool was conducted by user meetings, anonymous surveys, and web logs. Public health officials found this tool to be useful, and the tool has been modified further to incorporate features suggested by user responses. Features of the automated disease surveillance system, such as alerts and time series plots, can be specifically referenced by user comments. The user may also indicate the alert response being considered by adding a color indicator to their comment. The web-based event communication tool described in this article provides a common ground for collaboration and communication among public health officials at different locations.

scholarly journals Australian National Enterovirus Reference Laboratory annual report, 2017

2020 ◽  
Vol 44 ◽  
Author(s):  
Jason A Roberts ◽  
Linda K Hobday ◽  
Aishah Ibrahim ◽  
Bruce R Thorley
Keyword(s):  
Surveillance System ◽  
Disease Surveillance ◽  
Performance Criterion ◽  
World Health ◽  
Reference Laboratory ◽  
Surveillance Systems ◽  
Disease Surveillance System ◽  
Enterovirus A71 ◽  
Clinical Surveillance ◽  
Health Organization

Australia monitors its polio-free status by conducting surveillance for cases of acute flaccid paralysis (AFP) in children less than 15 years of age, as recommended by the World Health Organization (WHO). Cases of AFP in children are notified to the Australian Paediatric Surveillance Unit or the Paediatric Active Enhanced Disease Surveillance System and faecal specimens are referred for virological investigation to the National Enterovirus Reference Laboratory. In 2017, no cases of poliomyelitis were reported from clinical surveillance and Australia reported 1.33 non-polio AFP cases per 100,000 children, meeting the WHO performance criterion for a sensitive surveillance system. Three non-polio enteroviruses, coxsackievirus B1, echovirus 11 and enterovirus A71, were identified from clinical specimens collected from AFP cases. Australia established enterovirus and environmental surveillance systems to complement the clinical system focussed on children and an ambiguous vaccine-derived poliovirus type 2 was isolated from sewage in Melbourne. In 2017, 22 cases of wild polio were reported with three countries remaining endemic: Afghanistan, Nigeria and Pakistan.

scholarly journals Evaluation of Measles Surveillance Systems in Ginnir District, Bale Zone, Southeast Ethiopia: A Concurrent Embedded Mixed Quantitative/Qualitative Study 

2020 ◽  
Author(s):  
Falaho Sani ◽  
Mohammed Hasen ◽  
Mohammed Seid ◽  
Nuriya Umer
Keyword(s):  
Public Health ◽  
Qualitative Study ◽  
Surveillance System ◽  
Public Health Surveillance ◽  
Health Surveillance ◽  
Health Facilities ◽  
Surveillance Data ◽  
Surveillance Systems ◽  
Southeast Ethiopia ◽  
Bale Zone

Abstract Background: Public health surveillance systems should be evaluated periodically to ensure that the problems of public health importance are being monitored efficiently and effectively. Despite the widespread measles outbreak in Ginnir district of Bale zone in 2019, evaluation of measles surveillance system has not been conducted. Therefore, we evaluated the performance of measles surveillance system and its key attributes in Ginnir district, Southeast Ethiopia.Methods: We conducted a concurrent embedded mixed quantitative/qualitative study in August 2019 among 15 health facilities/study units in Ginnir district. Health facilities are selected using lottery method. The qualitative study involved purposively selected 15 key informants. Data were collected using semi-structured questionnaire adapted from Centers for Disease Control and Prevention guidelines for evaluating public health surveillance systems through face-to-face interview and record review. The quantitative findings were analyzed using Microsoft Excel 2016 and summarized by frequency and proportion. The qualitative findings were narrated and summarized based on thematic areas to supplement the quantitative findings.Results: The structure of surveillance data flow was from the community to the respective upper level. Emergency preparedness and response plan was available only at the district level. Completeness of weekly report was 95%, while timeliness was 87%. No regular analysis and interpretations of surveillance data, and the supportive supervision and feedback system was weak. The participation and willingness of surveillance stakeholders in implementation of the system was good. The surveillance system was found to be useful, easy to implement, representative and can accommodate and adapt to changing conditions. Report documentation and quality of data was poor at lower level health facilities. Stability of the system has been challenged by shortage of budget and logistics, staff turnover and lack of update trainings.Conclusions: The surveillance system was acceptable, useful, simple, flexible and representative. Data quality, timeliness and stability of the system were attributes that require improvement. The overall performance of measles surveillance system in the district was poor. Hence, regular analysis of data, preparation and dissemination of epidemiological bulletin, capacity building and regular supervision and feedback are recommended to enhance performance of the system.

Sign in / Sign up

Export Citation Format

Share Document