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

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.

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Michelle Seiler ◽  
Georg Staubli ◽  
Julia Hoeffe ◽  
Gianluca Gualco ◽  
Sergio Manzano ◽  
...  

Abstract Background We aimed to document the impact of the coronavirus disease 2019 (COVID-19) pandemic on regions within a European country. Methods Parents arriving at two pediatric emergency departments (EDs) in North of Switzerland and two in South of Switzerland completed an online survey during the first peak of the pandemic (April–June 2020). They were asked to rate their concern about their children or themselves having COVID-19. Results A total of 662 respondents completed the survey. Parents in the South were significantly more exposed to someone tested positive for COVID-19 than in the North (13.9 and 4.7%, respectively; P <  0.001). Parents in the South were much more concerned than in the North that they (mean 4.61 and 3.32, respectively; P <  0.001) or their child (mean 4.79 and 3.17, respectively; P <  0.001) had COVID-19. Parents reported their children wore facemasks significantly more often in the South than in the North (71.5 and 23.5%, respectively; P <  0.001). Conclusion The COVID-19 pandemic resulted in significant regional differences among families arriving at EDs in Switzerland. Public health agencies should consider regional strategies, rather than country-wide guidelines, in future pandemics and for vaccination against COVID-19 for children.


2016 ◽  
Vol 22 (Suppl 1) ◽  
pp. i43-i49 ◽  
Author(s):  
Amy Ising ◽  
Scott Proescholdbell ◽  
Katherine J Harmon ◽  
Nidhi Sachdeva ◽  
Stephen W Marshall ◽  
...  

2016 ◽  
Vol 10 (4) ◽  
pp. 576-582 ◽  
Author(s):  
Jennifer S. Love ◽  
David Karp ◽  
M. Kit Delgado ◽  
Gregg Margolis ◽  
Douglas J. Wiebe ◽  
...  

AbstractObjectivesBoarding admitted patients decreases emergency department (ED) capacity to accommodate daily patient surge. Boarding in regional hospitals may decrease the ability to meet community needs during a public health emergency. This study examined differences in regional patient boarding times across the United States and in regions at risk for public health emergencies.MethodsA retrospective cross-sectional analysis was performed by using 2012 ED visit data from the American Hospital Association (AHA) database and 2012 hospital ED boarding data from the Centers for Medicare and Medicaid Services Hospital Compare database. Hospitals were grouped into hospital referral regions (HRRs). The primary outcome was mean ED boarding time per HRR. Spatial hot spot analysis examined boarding time spatial clustering.ResultsA total of 3317 of 4671 (71%) hospitals were included in the study cohort. A total of 45 high-boarding-time HRRs clustered along the East/West coasts and 67 low-boarding-time HRRs clustered in the Midwest/Northern Plains regions. A total of 86% of HRRs at risk for a terrorist event had high boarding times and 36% of HRRs with frequent natural disasters had high boarding times.ConclusionsUrban, coastal areas have the longest boarding times and are clustered with other high-boarding-time HRRs. Longer boarding times suggest a heightened level of vulnerability and a need to enhance surge capacity because these regions have difficulty meeting daily emergency care demands and are at increased risk for disasters. (Disaster Med Public Health Preparedness. 2016;10:576–582)


2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Travis Mayo ◽  
Michael Coletta ◽  
Sophia Crossen ◽  
Kristen Oliver

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


2021 ◽  
pp. E1-E4
Author(s):  
Alexander T Janke ◽  
Hao Mei ◽  
Craig Rothenberg ◽  
Robert D Becher ◽  
Zhenqiu Lin ◽  
...  

While the impact of coronavirus disease 2019 (COVID-19) has varied greatly across the United States, there has been little assessment of hospital resources and mortality. We examine hospital resources and death counts among hospital referral regions (HRRs) from March 1 to July 26, 2020. This was an analysis of American Hospital Association data with COVID-19 data from the New York Times. Hospital-based resource availabilities were characterized per COVID-19 case. Death count was defined by monthly confirmed COVID-19 deaths. Geographic areas with fewer intensive care unit (ICU) beds (incident rate ratio [IRR], 0.194; 95% CI, 0.076-0.491), nurses (IRR, 0.927; 95% CI, 0.888-0.967), and general medicine/surgical beds (IRR, 0.800; 95% CI, 0.696-0.920) per COVID-19 case were statistically significantly associated with greater deaths in April. This underscores the potential impact of innovative hospital capacity protocols and care models to create resource flexibility to limit system overload early in a pandemic.


2021 ◽  
Vol 111 (12) ◽  
pp. 2127-2132
Author(s):  
Ian Hennessee ◽  
Julie A. Clennon ◽  
Lance A. Waller ◽  
Uriel Kitron ◽  
J. Michael Bryan

More than a year after the first domestic COVID-19 cases, the United States does not have national standards for COVID-19 surveillance data analysis and public reporting. This has led to dramatic variations in surveillance practices among public health agencies, which analyze and present newly confirmed cases by a wide variety of dates. The choice of which date to use should be guided by a balance between interpretability and epidemiological relevance. Report date is easily interpretable, generally representative of outbreak trends, and available in surveillance data sets. These features make it a preferred date for public reporting and visualization of surveillance data, although it is not appropriate for epidemiological analyses of outbreak dynamics. Symptom onset date is better suited for such analyses because of its clinical and epidemiological relevance. However, using symptom onset for public reporting of new confirmed cases can cause confusion because reporting lags result in an artificial decline in recent cases. We hope this discussion is a starting point toward a more standardized approach to date-based surveillance. Such standardization could improve public comprehension, policymaking, and outbreak response. (Am J Public Health. 2021;111(12):2127–2132. https://doi.org/10.2105/AJPH.2021.306520 )


Author(s):  
Jill McClary-Gutierrez ◽  
Mia Mattioli ◽  
Perrine Marcenac ◽  
Andrea Silverman ◽  
Alexandria Boehm ◽  
...  

Wastewater surveillance for SARS-CoV-2 has garnered extensive public attention during the COVID-19 pandemic as a proposed complement to existing disease surveillance systems. Over the past year, environmental microbiology and engineering researchers have advanced methods for detection and quantification of SARS-CoV-2 viral RNA in untreated sewage and demonstrated that the trends in wastewater are correlated with trends in cases reported days to weeks later depending on the location. At the start of the pandemic, the virus was also detected in wastewater in locations prior to known cases. Despite the promise of wastewater surveillance, for these measurements to translate into useful public health tools, it is necessary to bridge the barriers between researchers and the public health responders who will ultimately use the data. Here we describe the key uses, barriers, and applicability of SARS-CoV-2 wastewater surveillance for supporting public health decisions and actions. This perspective was formed from a multidisciplinary group of environmental microbiology, engineering, wastewater, and public health experts, as well as from opinions shared during three focus group discussions with officials from ten state and local public health agencies. The key barriers to use of wastewater surveillance data identified were: (1) As a new data source, most public health agencies are not yet comfortable interpreting wastewater data; (2) Public health agencies want to see SARS-CoV-2 wastewater data in their own communities to gain confidence in its utility; (3) New institutional knowledge and increased capacity is likely needed to sustain wastewater surveillance systems; and (4) The ethics of wastewater surveillance data collection, sharing, and use are not yet established. Overall, while wastewater surveillance to assess community infections is not a new idea, by addressing these barriers, the COVID-19 pandemic may be the initiating event that turns this emerging public health tool into a sustainable nationwide surveillance system.


Author(s):  
Jonathan H. Marks

Collaboration with industry has become the paradigm in public health. Governments commonly develop close relationships with companies that are creating or exacerbating the very problems public health agencies are trying to solve. Nowhere is this more evident than in partnerships with food and soda companies to address obesity and diet-related noncommunicable diseases. The author argues that public-private partnerships and multistakeholder initiatives create webs of influence that undermine the integrity of public health agencies; distort public health research and policy; and reinforce the framing of public health problems and their solutions in ways that are least threatening to the commercial interests of corporate “partners.” We should expect multinational corporations to develop strategies of influence. But public bodies need to develop counter-strategies to insulate themselves from corporate influence in all its forms. The author reviews the ways in which we regulate public-public interactions (separation of powers) and private-private interactions (antitrust and competition laws), and argues for an analogous set of norms to govern public-private interactions. The book also offers a novel framework that is designed to help public bodies identify the systemic ethical implications of their existing or proposed relationships with industry actors. The book makes a compelling case that, in public health, the paradigm public-private interaction should be at arm’s length: separation, not collaboration. The author calls for a new paradigm to protect and promote public health while avoiding the ethical perils of partnership with industry.


2021 ◽  
pp. 000276422199283
Author(s):  
Serena Tagliacozzo ◽  
Frederike Albrecht ◽  
N. Emel Ganapati

Communicating during a crisis can be challenging for public agencies as their communication ecology becomes increasingly complex while the need for fast and reliable public communication remains high. Using the lens of communication ecology, this study examines the online communication of national public health agencies during the COVID-19 pandemic in Italy, Sweden, and the United States. Based on content analysis of Twitter data ( n = 856) and agency press releases ( n = 95), this article investigates two main questions: (1) How, and to what extent, did national public health agencies coordinate their online communication with other agencies and organizations? (2) How was online communication from the agencies diversified in terms of targeting specific organizations and social groups? Our findings indicate that public health agencies relied heavily on internal scientific expertise and predominately coordinated their communication efforts with national government agencies. Furthermore, our analysis reveals that agencies in each country differed in how they diversify information; however, all agencies provided tailored information to at least some organizations and social groups. Across the three countries, information tailored for several vulnerable groups (e.g., pregnant women, people with disabilities, immigrants, and homeless populations) was largely absent, which may contribute to negative consequences for these groups.


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