scholarly journals Enhancing Surveillance on the BioSense Platform through Improved Onboarding Processes

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Travis Mayo ◽  
Michael Coletta ◽  
Sophia Crossen ◽  
Kristen Oliver
Keyword(s):  
Public Health ◽  
Syndromic Surveillance ◽  
Round Table ◽  
Surveillance Program ◽  
Data Validation ◽  
American Hospital ◽  
American Hospital Association ◽  
New Public Health ◽  
Data Source ◽  
The Impact

Objective: This session will present the impacts of enhancements made to National Syndromic Surveillance Program (NSSP) BioSense Platform Onboarding in 2017 from the perspective of CDC and public health jurisdictions.Introduction: In 2017, the National Syndromic Surveillance Program (NSSP) continued to expand as a national scope data source with over 6,500 facilities registered on the BioSense Platform, including 4,000 active, 1,800 onboarding, and 700 planned or inactive facilities. 2,086 of the active facilities are Emergency Departments across 49 sites in 41 states. The growth of data available in NSSP has been driven by continued enhancements to tools and processes used by the NSSP Onboarding Team. These enhancements help to rapidly integrate new healthcare facilities and onboard new public health sites in support of American Hospital Association (AHA) Emergency Department (ED) representativeness goals. Furthermore, with these improvements to the onboarding process, including the Master Facility Table update process and automated data validation reporting, NSSP has broadened stakeholder participation in the onboarding process.Description: This panel presentation will focus on the impact of the enhancements to NSSP Onboarding processes and tools that are the key enablers for NSSP to gather a site and nationally representative data source for event detection and novel surveillance. Panelists include Mr. Travis Mayo, NSSP Onboarding Manager, who will present the key enablers to accelerating NSSP Onboarding including enhancements to the management of the Master Facility Table (MFT), tailoring of the Engage, Connect, Validate, and Operate methodology, and the introduction of automated data validation reports. Building on the enablers presented by Mr. Mayo, Mr. Michael Coletta, will present on NSSP priorities and initiatives to optimize program efficiency in support of onboarding new sites and continuing to onboard facilities in support of national objectives for ED representatives. Mrs. Sophia Crossen will present the impact of NSSP changes in Kansas onboarding and surveillance initiatives. Mrs. Kirsten Oliver, will demonstrate how NSSP onboarding has impacted syndromic surveillance activities in West Virginia.With the need to always be looking ahead, each panelist will draw on their experiences in 2017, including their perspective on opportunities in 2018 to continue to enhance NSSP onboarding. These perspectives will serve as a basis for launching into questions and discussions from the audience to collect NSSP onboarding experiences in 2017 and ideas for continued enhancement in 2018.How the Moderator Intends to Engage the Audience in Discussions on the Topic: The round table will present the improvements implemented by NSSP Onboarding and discuss the following:- What strengths and weaknesses have the enhancements surfaced in onboarding processes- How have the enhancements impacted local onboarding initiatives and priorities- How have the enhancements changed the roles of key players in the onboarding process

scholarly journals Barriers to hospital electronic public health reporting and implications for the COVID-19 pandemic

2020 ◽  
Vol 27 (8) ◽  
pp. 1306-1309
Author(s):  
A Jay Holmgren ◽  
Nate C Apathy ◽  
Julia Adler-Milstein
Keyword(s):  
Public Health ◽  
Surveillance Data ◽  
Electronic Data ◽  
American Hospital ◽  
American Hospital Association ◽  
Public Health Agencies ◽  
Hospital Referral ◽  
Health Agencies ◽  
The Impact ◽  
To Receive

Abstract We sought to identify barriers to hospital reporting of electronic surveillance data to local, state, and federal public health agencies and the impact on areas projected to be overwhelmed by the COVID-19 pandemic. Using 2018 American Hospital Association data, we identified barriers to surveillance data reporting and combined this with data on the projected impact of the COVID-19 pandemic on hospital capacity at the hospital referral region level. Our results find the most common barrier was public health agencies lacked the capacity to electronically receive data, with 41.2% of all hospitals reporting it. We also identified 31 hospital referral regions in the top quartile of projected bed capacity needed for COVID-19 patients in which over half of hospitals in the area reported that the relevant public health agency was unable to receive electronic data. Public health agencies’ inability to receive electronic data is the most prominent hospital-reported barrier to effective syndromic surveillance. This reflects the policy commitment of investing in information technology for hospitals without a concomitant investment in IT infrastructure for state and local public health agencies.

scholarly journals National and Regional Representativeness of Hospital Emergency Department Visit Data in the National Syndromic Surveillance Program, United States, 2014

2016 ◽  
Vol 10 (4) ◽  
pp. 562-569 ◽  
Author(s):  
Ralph J. Coates ◽  
Alejandro Pérez ◽  
Atar Baer ◽  
Hong Zhou ◽  
Roseanne English ◽  
...  
Keyword(s):  
Emergency Department ◽  
Syndromic Surveillance ◽  
Surveillance Program ◽  
Local Health ◽  
Hospital Emergency Department ◽  
Hospital Emergency ◽  
American Hospital ◽  
American Hospital Association ◽  
Ed Visits ◽  
State And Local

AbstractObjectiveWe examined the representativeness of the nonfederal hospital emergency department (ED) visit data in the National Syndromic Surveillance Program (NSSP).MethodsWe used the 2012 American Hospital Association Annual Survey Database, other databases, and information from state and local health departments participating in the NSSP about which hospitals submitted data to the NSSP in October 2014. We compared ED visits for hospitals submitting data with all ED visits in all 50 states and Washington, DC.ResultsApproximately 60.4 million of 134.6 million ED visits nationwide (~45%) were reported to have been submitted to the NSSP. ED visits in 5 of 10 regions and the majority of the states were substantially underrepresented in the NSSP. The NSSP ED visits were similar to national ED visits in terms of many of the characteristics of hospitals and their service areas. However, visits in hospitals with the fewest annual ED visits, in rural trauma centers, and in hospitals serving populations with high percentages of Hispanics and Asians were underrepresented.ConclusionsNSSP nonfederal hospital ED visit data were representative for many hospital characteristics and in some geographic areas but were not very representative nationally and in many locations. Representativeness could be improved by increasing participation in more states and among specific types of hospitals. (Disaster Med Public Health Preparedness. 2016;10:562–569)

THE PRESIDENT'S PAGE

PEDIATRICS ◽  
1951 ◽  
Vol 8 (2) ◽  
pp. 275-276
Author(s):  
PAUL W. BEAVEN
Keyword(s):  
Public Health ◽  
New York ◽  
School Health ◽  
News Letter ◽  
American Hospital ◽  
American Hospital Association ◽  
Contagious Diseases ◽  
National Foundation ◽  
Health Laws ◽  
Infantile Paralysis

I AM SURE that the majority of our members are not aware of the influence of the Academy in public health and child welfare. For this reason I will recount some of the incidents that have occurred in the past few months which illustrate this. In May, Dr. Edward Davens, representing our Committee on School Health, went to a meeting in Washington arranged by the National Educational Association to examine the real meaning of citizenship in our country. Excerpts from his report will be published in the News Letter. Last January, Dr. Reginald Higgons attended a conference on school health in Cleveland, which he reported in full to the Executive Board and which will appear in the agenda of committees published in Pediatrics. I would commend this to anyone interested in school health work. In April, Dr. Stewart Clifford used the report of this same School Health Committee, of which Dr. Thomas Shaffer is Chairman, to modify the school health laws in Massachusetts to conform to its recommendations. If members in states are attempting to introduce modern practices in school health, they are referred to the central office. Dr. Christopherson will be glad to send them a copy of Dr. Shaffer's report. In February, Dr. Danis' Committee on Hospitals and Dispensaries sent representatives to a meeting in New York, called to discuss the care of contagious diseases in a general hospital. This group represented many organizations, including the American Public Health Association, the American Medical Association, the American Hospital Association, the American Nursing Association, and others. It was financed by the National Foundation for Infantile Paralysis.

Window of Opportunity for New Disease Surveillance: Developing Keyword Lists for Monitoring Mental Health and Injury Through Syndromic Surveillance

2016 ◽  
Vol 11 (2) ◽  
pp. 173-178 ◽  
Author(s):  
Ursula Lauper ◽  
Jian-Hua Chen ◽  
Shao Lin
Keyword(s):  
Public Health ◽  
Mental Health ◽  
New York ◽  
Syndromic Surveillance ◽  
New York State ◽  
Hurricane Sandy ◽  
York State Department ◽  
Free Text ◽  
York State ◽  
The Impact

AbstractStudies have documented the impact that hurricanes have on mental health and injury rates before, during, and after the event. Since timely tracking of these disease patterns is crucial to disaster planning, response, and recovery, syndromic surveillance keyword filters were developed by the New York State Department of Health to study the short- and long-term impacts of Hurricane Sandy. Emergency department syndromic surveillance is recognized as a valuable tool for informing public health activities during and immediately following a disaster. Data typically consist of daily visit reports from hospital emergency departments (EDs) of basic patient data and free-text chief complaints. To develop keyword lists, comparisons were made with existing CDC categories and then integrated with lists from the New York City and New Jersey health departments in a collaborative effort. Two comprehensive lists were developed, each containing multiple subcategories and over 100 keywords for both mental health and injury. The data classifiers using these keywords were used to assess impacts of Sandy on mental health and injuries in New York State. The lists will be validated by comparing the ED chief complaint keyword with the final ICD diagnosis code. (Disaster Med Public Health Preparedness. 2017;11:173–178)

scholarly journals Antimicrobial Resistance Pilot Surveillance of Pigs and Chickens in Vietnam, 2017–2019

2021 ◽  
Vol 8 ◽  
Author(s):  
C. V. Tuat ◽  
P. T. Hue ◽  
N. T. P. Loan ◽  
N. T. Thuy ◽  
L. T. Hue ◽  
...  
Keyword(s):  
Public Health ◽  
Antimicrobial Resistance ◽  
Antimicrobial Agents ◽  
Multidrug Resistant ◽  
Surveillance Program ◽  
E Coli ◽  
The North ◽  
Disk Diffusion Assay ◽  
Almost All ◽  
The Impact

Antimicrobial use (AMU) and antimicrobial resistance (AMR) are a growing public health and economic threat in Vietnam. We conducted a pilot surveillance programme in five provinces of Vietnam, two in the south and three in the north, to identify antimicrobial resistance (AMR) in rectal swab samples from pigs and fecal samples from chickens at slaughter points during three different points in time from 2017 to 2019. Escherichia coli (E. coli) and non-typhoidal Salmonella (NTS) isolates were tested for antimicrobial susceptibility using disk diffusion assay for 19 antimicrobial agents belonging to nine antimicrobial classes and Etest for colistin (polymyxin). Almost all E. coli (99%; 1029/1042) and NTS (96%; 208/216) isolates were resistant to at least one antimicrobial agent; 94% (981/1042) of E. coli and 89% (193/216) of NTS isolates were multidrug-resistant (MDR). Higher proportions of E. coli and NTS isolated from chickens were resistant to all antimicrobial classes than those isolates from pigs. There was a significantly higher proportion of MDR NTS isolates from the southern provinces of Ho Chi Minh City and Long An (p = 0.008). Although there were increasing trends of NTS in proportion of resistance to fluoroquinolone over the three surveillance rounds, there was a significant decreasing trend of NTS in proportion of resistance to polymyxin (p = 0.002). It is important to establish an annual AMR surveillance program for livestock in Vietnam to assess the impact of interventions, observe trends and drive decision making that ultimately contributes to reducing AMR public health threat.

scholarly journals What did Syndromic Surveillance Show During London 2012? Lessons for Mass Gatherings

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Dan Todkill ◽  
Helen Hughes ◽  
Alex Elliot ◽  
Roger Morbey ◽  
Obaghe Edeghere ◽  
...  
Keyword(s):  
Public Health ◽  
General Practitioner ◽  
Syndromic Surveillance ◽  
Lessons Learned ◽  
Surveillance Systems ◽  
Mass Gathering ◽  
Daily Number ◽  
Mass Gatherings ◽  
London 2012 ◽  
The Impact

This paper investigates the impact of the London 2012 Olympic and Paralympic Games on syndromic surveillance systems coordinated by Public Health England. The Games had very little obvious impact on the daily number of ED attendances and general practitioner consultations both nationally, and within London. These results provide valuable lessons learned for future mass gathering events.

A case study of new approaches to address health inequalities: Due North five years on

2019 ◽  
Vol 132 (1) ◽  
pp. 17-31
Author(s):  
Paul W Johnstone
Keyword(s):  
Public Health ◽  
Local Government ◽  
Health Inequalities ◽  
Annual Reports ◽  
New Approaches ◽  
The North ◽  
New Public Health ◽  
The Impact ◽  
Deprived Areas

Abstract Introduction When local councils took on responsibility for public health in England in 2013, leaders from across the north of England met to consider the scale of the challenge. As a result, Public Health England commissioned the Due North Report which outlined new approaches in tackling health inequalities. This second paper outlines what has been learnt in five years as a case study. This includes influencing devolution deals and new elected city mayors, planning for economic growth in deprived areas and developing community asset-based approaches. The paper outlines a new framework for place-based planning to reduce health inequalities. Sources of data Data was gathered from annual reports from north of England directors of public health, Office for National Statistics, Public Health England’s fingertips database and regional and national publications and strategies such as the Northern Powerhouse. Areas of agreement Devolution to English cities and councils as ‘places’ is a new opportunity to address local needs and inequalities. Due North has supported a new public health narrative which locates health action in the most fundamental determinants—how local economies are planned, jobs created and power is to be transferred to communities and connects reducing years of premature ill health to increased economic productivity. Community asset approaches to empower local leaders and entrepreneurs can be effective ways to achieve change. Areas of controversy The north–south divide in health is not closing and may be worsening. Different ways of working between local government, health and business sectors can inhibit in working together and with communities. Growing points Place-based working with devolved powers can help move away from top down and silo working, empower local government and support communities. Linking policies on health inequalities to economic planning can address upstream determinants such as poverty, homelessness and unsafe environments. Areas timely for developing research More research is needed on; (i) addressing inequalities at scale for interventions to influence community-led change and prosperity in deprived areas, and (ii) the impact of devolution policy on population health particularly for deprived areas and marginalised group. Discussion and conclusions Commissioning high profile reports like Due North is influential in supporting new approaches in reducing inequality of health through local government, elected mayors; and working with deprived communities. This second paper describes progress and lessons.

Main themes

2018 ◽  
pp. 1-24
Author(s):  
Colin Palfrey
Keyword(s):  
Public Health ◽  
Health Promotion ◽  
Civil Society ◽  
New Public Health ◽  
Promotion Policies ◽  
New Public ◽  
The Social ◽  
The Uk ◽  
Health Promotion Interventions ◽  
The Impact

This book examines the evidence on the effectiveness and cost-effectiveness of health promotion policies and projects, with particular emphasis on the UK. As an introduction, this chapter clarifies the key concepts in the health promotion literature such as ‘new public health’, civil society, poverty and empowerment. It first considers the potentially disputed assumption that ‘health’ is an unequivocal concept before discussing the social determinants of health, the emergence of a ‘new public health’ in the UK that consists of health promotion as a model of health policy, and the role of civil society in health promotion. It also explains what poverty is, the impact of public health and health promotion interventions, the purpose of health promotion, and motives for improving people's health (such as empowerment, charity, economics). Finally, it reflects on the future for health promotion.

scholarly journals Estimating the Impact of County Boundaries on State-wide Patient-Sharing Network Models

2020 ◽  
Vol 41 (S1) ◽  
pp. s220-s221
Author(s):  
Daniel Sewell ◽  
Samuel Justice ◽  
Amy Hahn ◽  
Sriram Pemmaraju ◽  
Alberto Segre ◽  
...  
Keyword(s):  
Network Models ◽  
Disease Spread ◽  
Network Data ◽  
Training Set ◽  
Individual Based Model ◽  
American Hospital ◽  
American Hospital Association ◽  
Edge Betweenness ◽  
The Individual ◽  
The Impact

Background: In the field of public health, network models are useful for understanding the spread of both information and infectious diseases. Collecting network data requires determining network boundaries (ie, the entities selected for data collection). These decisions, if not made carefully, have potential outsized downstream effects on study findings. In practice, collaboration and coordination between healthcare organizations are often dictated by historical or geopolitical boundaries (eg, state or county boundaries), which may distort the underlying network under study, and thereby affect the reliability and/or accuracy of the network model. Objective: We compared natural communities in a patient-sharing network with those induced by geopolitical boundaries. Methods: Using data from the Healthcare Cost and Utilization Project (HCUP), we constructed a patient-sharing network among hospitals in California, splitting the data into a training set and a holdout set. We performed edge-betweenness clustering on the training set, and with the holdout set, we compared the resulting partition with the partition by counties using modularity. We also clustered contiguous counties that might function more cohesively together than individually. We performed spatially constrained hierarchical clustering on the network constructed from total patient flow between pairs of counties. The results were again compared via modularity on the holdout set to the county partition. Lastly, we built an individual-based model (IBM) using HCUP and American Hospital Association data to perform epidemic simulations. For each of several counties, we implemented this model to estimate the proportion of patients infected over time. We then reran the individual-based model using the entire state while dividing the results into corresponding counties. Results: In total, 680,485 patients transferred between 374 hospitals in 55 counties from 2003 to 2011. The out-of-sample modularity for the edge-betweenness clustering partition was 464% higher than that of the county partition. Aggregating the counties into half as many contiguous clusters was 319% higher, and aggregating them into 6 clusters was 489% higher (Fig. 1). The epicurves from the individual-based model ranged from small to significant deviations between state versus county boundaries (Fig. 2) . Conclusions: Collecting network data using externally imposed boundaries may lead to inaccurate network models. For example, counties serve as a poor proxy for their underlying communities, resulting in poor overall disease spread simulation results when county boundaries are allowed to drive network construction. These issues should be considered when building coordination partnerships such as the Accountable Communities for Health.Funding: NoneDisclosures: None

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