This website uses cookies to store information on your computer. Some of these cookies are used for visitor analysis, others are essential to making our site function properly and improve the user experience. By using this site, you consent to the placement of these cookies. Click Accept to consent and dismiss this message or Deny to leave this website. Read our Privacy Statement for more.
Join CSTE   |   Career Center   |   Print Page   |   Contact Us   |   Report Abuse   |   Sign In
CSTE Features
Blog Home All Blogs

CSTE at the 2017 HIMSS Conference

Posted By Janet Hui , MPH, Friday, April 7, 2017
Updated: Friday, March 31, 2017
This February, CSTE attended the 2017 HIMSS Annual Conference and Exhibition in Orlando, Florida. HIMSS – the Healthcare Information and Management Systems Society – is a global non-profit whose mission is to improve health through information technology. Their annual conference is one of the largest health IT conferences in the world, with over 40,000 representatives from health care and health IT attending this year. The enormous HIMSS exhibit hall featured some of the biggest names in health care and technology, such as Allscripts, Cerner, Epic IBM and many others.


This year, CSTE was invited by CDC to participate in the HIMSS Interoperability Showcase to demonstrate the Reportable Conditions Knowledge Management System (RCKMS). The Interoperability Showcase is a guided exhibit at HIMSS, where companies and organizations partner together and demonstrate how different technologies can work together to address a health problem. For our use case, CSTE partnered with the Association of Public Health Laboratories (APHL), Utah Department of Health, Epic and others to demonstrate how new technologies and standards can be used to enhance public health (PH) surveillance. Together, we demonstrated the electronic case reporting flow for a potential case of Zika virus infection.


During the Showcase, we simulated a patient visiting a clinic in Utah and receiving a positive PCR result for Zika virus, which triggered the process of PH reporting. The clinic’s EHR, represented by Epic, built and sent an initial electronic case report (elCR) to the APHL AIMS platform, which invoked the RCKMS decision support service to determine that this potential case should be reported to Utah Department of Health. AIMS routed the eICR and a Reportability Response (RR) to the Utah Department of Health and a RR to the Epic EHR system. Utah consumed the eICR and RR into their surveillance system, and Epic received and processed the RR.

Pictured: CSTE staff member Janet Hui leads a demonstration of the Reportable Conditions Knowledge Management System (RCKMS) during the 2017 HIMSS Conference in Orlando, FL.

Overall, CSTE’s participation in this year’s HIMSS Conference was very productive in educating attendees on CSTE’s role in the work of public health reporting, RCKMS and other technology currently being developed in the surveillance/reporting realm. The Conference presented a great opportunity to engage fellow public health professionals on the ongoing work of RCKMS, and I look forward to participation in future HIMSS Conferences.
 
Janet Hui is CSTE’s Associate Research Analyst on the RCKMS initiative. For more information about the ongoing RCKMS work or other projects in the Surveillance/Informatics area, contact Janet at jhui@cste.org.

Tags:  cross cutting  infectious disease  informatics  RCKMS  surveillance 

Share |
PermalinkComments (0)
 

Antibiotic Use/Resistance Surveillance through the National Health Care Safety Network: The Key to Data-Driven Interventions

Posted By Erica Washington, MPH, CPH, CIC, CPHQ, Friday, February 17, 2017
Updated: Wednesday, February 15, 2017

When considering the state of antibiotic resistance proliferation in today's health care landscape, the words “The Bugs are Fighting Back!” may come to mind. While this may sound like a D-list ‘80s movie, it succinctly summarizes the rapid pace of antibiotic resistance evolution, and the urgent need for stewardship in prescribing and surveillance practices. Antibiotics are ubiquitous in today's society: they are in foods, prescribed as medicine and at one point were even widely used in soaps. Each of these factors spurned the growth of resistant organisms for which antibiotics have reduced efficacy. Some consequences of antibiotic-resistant infections are longer and more complicated illnesses, increased doctor visits and increased mortality. In light of the vast problem of existing and emerging resistance, I chose to address surveillance of antibiotic prescribing practices and antibiotic threats as my project for my Informatics-Training in Place Program (I-TIPP) fellowship.

I join a myriad of stakeholders who have focused their attention on the need for antibiotic stewardship over the last several years. These efforts to combat antibiotic-resistant bacteria were propelled further by the 2015 White House Report titled National Action Plan for Combating Antibiotic-Resistant Bacteria. The report established several goals to fight “super bugs,” such as reducing the incidence of Clostridium difficile by 50 percent, reducing carbapenem-resistant Enterobacteriaceae infections by 60 percent, and maintaining the prevalence of ceftriaxone-resistant Neisseria gonorrhoeae below two percent (of all of the multi-drug resistant organisms, stating the emergence of Gonorrhoeae as a drug-resistant threat typically gets the biggest gasp from my audiences of infection preventionists and stakeholders).

The need for antibiotic stewardship is readily apparent in Louisiana, where I am pursuing my fellowship in the Louisiana Department of Health. According to Centers for Disease Control and Prevention's (CDC) Healthcare-Associated Infections 2015 Prevention Status Report, only 29.5 percent of acute care hospitals in Louisiana reported having antibiotic stewardship programs that incorporated all seven core elements deemed critical by CDC. These seven core elements include leadership commitment, accountability, drug expertise, action, tracking, reporting and education. Although this data references only acute care hospitals, antibiotic stewardship is needed across the health care spectrum. The seven core elements for antibiotic stewardship are recommended for implementation in all settings where prescribing occurs, including long-term acute care hospitals and nursing homes.

Similar to the Prevention Status Report's revelation of lack of antibiotic stewardship programs, CDC's 2014 Community Antibiotic Prescriptions Report shows data demonstrating that Louisiana's doctors' offices, emergency departments and hospital clinics administer antibiotics that are unnecessary at a rate of 1,021-1,285 prescriptions per 1,000. Overprescribing can be attributed to a number of factors. One study published in British Journal of General Practice showed that reduced antibiotic prescribing is associated with lower patient satisfaction, which may be why doctors overprescribe unnecessary medications. According to The Pew Charitable Trusts (PCT), common inappropriate uses of antibiotics in health care are for asthma, allergies, bronchitis, middle ear infections, influenza, viral pneumonia and viral upper respiratory infections. PCT has listed reducing inappropriate antibiotic use for all conditions by 50 percent by 2020 as a national goal.

Through my I-TIPP fellowship, I have identified current informatics capacities at acute care hospitals, promoted use of the National Healthcare Safety Network's (NHSN) Antibiotic Use and Resistance Module (AUR), educated facilities about the need for robust antibiotic stewardship activities and notified acute care hospitals about the eligibility of Meaningful Use Stage 3 incentives for participating in both the antibiotic use and antibiotic resistance features of the AUR. In July 2016, I conducted an introductory webinar on the AUR and in September 2016, I conducted a survey among acute care NHSN users to assess their electronic reporting capacities to participate in the AUR. Information administered in the initial webinar on AUR was reinforced at three, in-person workshops that were presented statewide in November 2016. These workshops focused on the NHSN and Emerging Infectious Disease, which are an integral part of Louisiana's health care-associated infections activities. Infection preventionists and patient safety personnel were the target audience for these workshops, however some pharmacists participated as well, in light of the demonstration of the AUR Module.

Effectively intersecting with people to generate outcomes that impact population health has been the key to my success in the fellowship thus far. Understanding the needs of each facility that has indicated an interest in signing up for the AUR Module, determining what their current capacities and barriers to creating competent antibiotic stewardship programs, and showing how Meaningful Use participation can help them has been integral to my project. Through I-TIPP, I have been able to refine my communication skills and problem solving methods to achieve public health goals that will better the health of Louisianans as we fight back against super bugs.



CSTE Fellow Erica Washington presents content on the NHSN Antibiotic Use/Resistance Module at the annual Louisiana National Healthcare Safety Network/Emerging Infectious Diseases Workshops in Bossier City, LA at Willis-Knighton Health Center in November 2016.

Erica Washington is an Informatics-Training in Place Program Fellow at the Louisiana Department of Health. She received her MPH from Tulane University in New Orleans, LA. Ms. Washington's post is the fifth in a series of blogs by CSTE-sponsored fellows.

Tags:  cross cutting  epidemiology  fellowship  informatics  surveillance  workforce development 

Share |
Permalink
 

#FoodPoisoning: Using Social Media to Detect Outbreaks

Posted By Katelynn Devinney, Tuesday, February 7, 2017
Updated: Tuesday, February 7, 2017

Foodborne illness is not only an unpleasant experience, but also a major public health concern. Many individuals who acquire foodborne illnesses do not seek medical care and do not report their illness to health departments, which can make complete and timely outbreak detection nearly impossible. With the emergence of social media as a primary form of communication, many individuals do, however, complain to their friends and followers online about their illness, symptoms and possible causes. So, how can we harness the power of social media to stop foodborne outbreaks?

As a fellow with the Project SHINE Informatics Training in Place Program in the New York City Department of Health and Mental Hygiene (DOHMH) – with support from the Alfred P. Sloan Foundation and the National Science Foundation – I have been tasked with developing a system, using data from Twitter, to identify complaints of foodborne illness across the city. The DOHMH has a long history of applying innovative methods to improve foodborne disease surveillance. We utilize the citywide non-emergency information system, “311,” where anyone can submit a food poisoning complaint related to a New York City restaurant. Additionally, in 2011, after identifying reports of illness on the restaurant review website Yelp that were not reported to 311, DOHMH began collaborating with Yelp and Columbia University to obtain a daily feed of Yelp reviews and develop a machine learning program using text mining to identify reviews pertaining to foodborne illness. This project was supported by two former CSTE Applied Epidemiology fellows, Cassandra Harrison, MPH and Kenya Murray, MPH and resulted in the full integration of Yelp into our foodborne illness complaint system. Each year, approximately 4,000 restaurant-associated complaints are received via 311 and Yelp combined, which result in the detection of about 30 outbreaks.

Nevertheless, New York City is a large metropolitan area with more than 8.5 million residents, 78 percent of whom eat food purchased from the city’s approximately 24,000 restaurants and 15,000 food retailers at least once per week. There are ample opportunities for exposure to foodborne pathogens at New York City restaurants. Even with the integration of Yelp and 311, we remain concerned that we are not receiving all reports of restaurant-associated foodborne illness incidents in the city.

Working with Columbia University, we have developed a system very similar to that used for Yelp reviews, which pulls publicly available data from Twitter’s application program interface (API), and uses text mining and machine learning to identify tweets indicating foodborne illness. We have also developed a web-based application, which displays all Yelp reviews and tweets for epidemiologists to review and manually classify, and allows us to track follow up and conduct interviews with complainants.

Using this application, we can respond to Twitter users we believe to be tweeting about a potential food poisoning incident and ask them to complete a brief online survey. The survey asks about the restaurant name and location, date of their visit, details of the incident and contact information for follow-up. DOHMH staff attempt to interview all users who submit surveys to obtain more information about their symptoms, incubation period and a three-day food history.

The process of developing and launching the application was extensive; we encountered many roadblocks, such as accessing data through firewalls and obtaining secure public facing servers to allow survey data collection. We have only recently started tweeting and sending surveys; so far, the survey completion rate has been low (roughly two percent), but we have observed an overall positive reaction from the public to our tweets. We hope the response rate increases over time and the application is successful, so we can share our work and lessons learned with other health departments who want to incorporate social media into their surveillance and outbreak detection efforts.

Already, our project was recognized at the 2016 New York City Technology Forum as the Most Innovative Use of Social Media/Citizen Engagement. Since then, we’ve enhanced the application to allow us to automate processes and increase the sustainability of the project over time. We have also evaluated different data sources and aim to incorporate those that will increase both the timeliness and completeness of foodborne illness outbreak detection in New York City.



Pictured: New York City Social Media Foodborne Team accepting the award for
Most Innovative Use of Social Media/Citizen Engagement on November 14, 2016.

This project has been an incredible learning experience. I am very thankful to DOHMH, my mentors and Project SHINE for their continued support and guidance. None of this would have been possible without the work of Communicable Disease, Environmental Health and Information Technology staff at DOHMH, our partners at Columbia, our grant administrators at the Fund for Public Health New York and our funders. This collaboration provided me with an amazing opportunity to learn how to effectively communicate and coordinate between groups to promote innovation in informatics, which I will continue to apply throughout my public health career.
Katelynn Devinney, MPH, is an Informatics-Training in Place fellow at the New York City Department of Health and Mental Hygiene. She received her MPH from Columbia University Mailman School of Public Health. Ms. Devinney’s post is the fourth in a series of blogs by CSTE-sponsored fellows.

Tags:  cross cutting  epidemiology  fellowship  food safety  surveillance  workforce development 

Share |
PermalinkComments (0)
 

Putting People First in Public Health Informatics

Posted By Juliet Sheridan, MPH, Monday, January 23, 2017
Updated: Monday, January 23, 2017

As a self-proclaimed data nerd, I was initially excited about being accepted into the Applied Public Health Informatics Fellowship (APHIF) because I’d have the chance to improve my technical skills in a real-world setting. Supported by CDC, the Council of State and Territorial Epidemiologists (CSTE) and the National Association of County and City Health Officials (NACCHO), my APHIF work is part of the “Project SHINE” professional development collaboration. Imagine my surprise when my main fellowship project for the Family Success Alliance turned out to be more about people than the technical specs.

The Family Success Alliance (FSA) is a collective impact initiative developed to ensure that children whose families struggle to make ends meet have the educational and economic opportunities to succeed in Orange County, NC. Modeled after the Harlem Children’s Zone, FSA works in two neighborhoods called ‘Zones’ to provide a “pipeline” of evidence-based programs, services and supports from cradle to career. With over 200 participants in the first two years and yearly expansion planned, FSA needed a way to keep track of demographic, program and outcome information for each participant and their family.


The Family Success Alliance (FSA) is a collective impact initiative developed to ensure that children whose families struggle to make ends meet have the educational and economic opportunities to succeed in Orange County, NC.

Because the collaborative spans many sectors, including local government, school districts, non-profit organizations and funders, we couldn’t just set up a regular database. It was important to track not only what was happening, e.g., tracking participation in programming, but also how partners were interacting, e.g., whether the afterschool tutoring organization also referred participants to our mental health partners. We needed this tracking to occur in real-time across 13 different organizations, while also being HIPAA and FERPA compliant.

To this end, I was selected to implement a shared measurement system that all our partners could access and utilize. The United Way, one of our funders, uses a web-based case management system called Efforts to Outcomes (ETO), created by Social Solutions, Inc., which we decided to adopt for FSA. I focused first on the technical components necessary for success, such as gathering requirements, managing permissions and building reports. However, I realized that the most important pieces of this project were non-technical. How do you build trust among partners? Maintain common goals and accountability? Allow for unique organizational needs? Prioritize equity? These questions ultimately informed most of my work during my fellowship experience.



Pictured: FSA partners are pictured here during a working meeting.

Before I could begin setting up ETO, we had to create and sign a Master Data Sharing Agreement that outlined the appropriate use, storage, analysis and security for the data we would enter into our system. We found that this agreement could not move forward without numerous conversations about each partners’ experience with similar data, capacity for data management and expectations for security, confidentiality and privacy. Fundamentally, these conversations were about building trust. Do you and your partners trust each other to be good stewards of the data? Do your clients trust you to maintain their information in a secure way? The Data Sharing Agreement is just the first step in a continuing conversation about data use and practices; my role is to accompany our partners in that discussion.

Now that the Master Data Sharing Agreement is almost complete, I’ve turned my attention to getting the system set up for our community partners. In designing the forms and user interface on the website, it is crucial to keep the end goals of the collaborative in mind, so that we can measure the impact on the community. One of the guiding principles of the Alliance is equity, and that is no less true when it comes to data. This principle informs both logistical and measurement questions about our data, including who enters the data, how we train staff, if we are capturing community strengths, and whether we’re contributing to a “fixing systems” mentality instead of “fixing people”. The real questions we want to answer using this database are about families living in Orange County and whether their children are ready for kindergarten; if they have appropriate, stable housing; and if there more families living above the poverty line as a result of our work. If I focused only on the technical requirements of the database, I’d lose sight of what is truly important about the work we’re doing.



Pictured: Here, a teacher reads to children in the Kindergarten Readiness Program.

Through my APHIF experience, I’ve found that informatics is about so much more than just technical skills. Systems like ETO improve our processes and contribute to data-driven decision making, but they must also be designed with human “requirements” in mind, like trust, accountability and equity in order to be truly successful. I am so grateful to my mentors, our community partners, Family Success Alliance staff and funders for their continued support and assistance. The Orange County Health Department and the APHIF program have afforded me this unique opportunity that has changed the way I will approach public health informatics throughout my career.

Juliet Sheridan is an Applied Public Health Informatics Fellow at the Orange County Health Department in North Carolina. She received her MPH from the University of North Carolina at Chapel Hill. Ms. Sheridan’s post is the third in a series of blogs by CSTE-sponsored fellows.

Tags:  Cross cutting  Epidemiology  Fellowship  Informatics  Surveillance  Workforce Development 

Share |
PermalinkComments (0)
 

Using Electronic Health Data to Prevent Traffic Injuries & Save Lives

Posted By Kenneth Scott, PhD, MPH, Tuesday, January 10, 2017

2016 was a big year for Denver. In addition to the Denver Broncos’ Super Bowl championship, the regional transit agency introduced three new train lines, with a fourth coming soon, and Denver’s Mayor Michael Hancock launched an initiative known as “Vision Zero.” First enacted by the Swedish Parliament in 1997, Vision Zero was designed to eliminate all traffic-related deaths and serious injuries by 2020. That anyone in the 21st century could seriously imagine a city or country with no serious road traffic injuries is an indicator of how far public health and safety professionals have come in making transportation safer. Improved traffic safety has been a public health goal for decades, due in part to the early intellectual leadership of Dr. William Haddon Jr. as well as the political activism of Ralph Nader. The Center for Disease Control and Prevention (CDC) counts motor vehicle safety as one of the greatest public health achievements of the 20th century. Even so, Sweden’s notion that traffic deaths and serious injuries can be eradicated was, well… visionary.

In the first decade of Vision Zero, the number of road deaths in Sweden was cut in half. Other governments have since followed Sweden’s model, adopting Vision Zero policies of their own. In the United States, cities like Boston, Chicago and San Francisco have taken the lead with efforts to implement. Vision Zero in Denver, as in Sweden, has come both from community activism as well as political leadership. Mayor Hancock made a formal commitment to Vision Zero in February 2016 after receiving support from a network of community organizations in the Denver area. A group of city agencies is currently working to develop a Vision Zero Action Plan for Denver, with ongoing guidance from interested community groups.

Tracking progress in achieving Vision Zero requires data, which is where public health informatics comes in. Public health informatics is ultimately about transforming health-related data into useful information for public health action. I am currently a fellow working at Denver Public Health through the Applied Public Health Informatics Fellowship (APHIF) program. APHIF is supported by CDC, the Council of State and Territorial Epidemiologists (CSTE), and the National Association of County and City Health Officials (NACCHO) as part of the “SHINE” professional development collaboration. Fellows in my program are typically recent graduates of academic programs in public health or computer & information science (I defended my dissertation in epidemiology this past August). We receive one year of on-the-job training at a state or local health agency, where we learn how to communicate and work with the diverse teams of professionals involved in public health informatics.

In an effort to build injury epidemiology capacity within our department, I have been responding to information requests we receive related to injury prevention—my PhD focus. Denver Environmental Health—one of the agencies working on the Vision Zero Action Plan—requested that the Denver Public Health’s Public Health Informatics Group (PHIG) where I am embedded conduct a “hot spot” analysis of transportation injuries in the city. After evaluating different information systems, my fellowship mentors and I concluded that electronic health record data collected by Denver’s paramedics would be best suited to identify hazardous locations. Geographic location data assigned by the 911 call system are the most precise measures of injuries’ incident locations in any available health records. Also, the paramedic data capture injuries that police reports—which are publicly available and have previously been analyzed—might miss.

Through a partnership with the Denver Health Paramedics Division, we evaluated five years of transportation injury data and identified specific locations in Denver that might benefit from additional attention (e.g., intersection redesign, traffic enforcement, etc.). Denver Environmental Health and the other members of the Vision Zero work group will use our report to help develop recommendations to improve transportation safety in Denver. I look forward to seeing how the report is used.

What I have enjoyed the most about this fellowship has been working in an applied setting with committed public health practitioners and learning from professionals trained in other disciplines, including computer science, software development and database management. This cross cutting, interprofessional education is helping me and other fellows in my cohort build skills to translate across disciplines and, hopefully, secure long-term career placement in governmental public health. It has been rewarding to apply my formal education in epidemiology to public health issues and information systems specific to Denver—the city where I was born and raised. As a child, I was treated by Denver’s paramedics for injuries I sustained after running through a glass door. A surgeon at Denver Health helped me return to play after I experienced a shoulder injury playing high school football. And as a bike commuter, I have crossed through intersections that our analyses highlight for improvements. In other words, working with these particular information systems carries a personal significance for me. And from a professional standpoint, the APHIF program has given me valuable experience working in local public health which, as we say, is where the rubber meets the road.


Dr. Ken Scott is an Applied Public Health Informatics Fellow at Denver Public Health. He received his PhD from the University of Colorado and his MPH from the University of Washington. Dr. Scott’s post is the second in a series of blogs by CSTE-sponsored fellows.

Tags:  cross cutting  epidemiology  fellowship  informatics  surveillance  workforce development 

Share |
PermalinkComments (0)
 

Assessing the Training Needs of Epidemiologists

Posted By Jessica Arrazola, Tuesday, December 20, 2016
Updated: Tuesday, December 20, 2016

The recent publication “Examining state health agency Epidemiologists and their training needs” describes the applied epidemiology workforce as highly educated, with gaps in relevant skills requiring development.1 These gaps are not in traditional epidemiology “shoe leather,” but in the cross cutting skills of collaboration, change management, and communication. Similar to other assessments of the public health workforce, workers self-report a need for more training in these non-technical skills. As we enter into the era of “Public Health 3.0”—a major upgrade in public health practice to emphasize cross-sectoral policy to address social determinates of health—it will be necessary for epidemiologists to work beyond their silos to successfully implement surveillance and informatics initiatives.

The Council on Education for Public Health (CEPH) recognizes this need for training in cross cutting skills and is changing the accreditation criteria of schools and programs of public health.2 These changes aim to shift the delivery of the Master of Public Health (MPH) curriculum from the traditional five areas of public health to foundational knowledge and competencies as well as applied learning experiences beyond the traditional practicum. The 22 MPH competencies are arranged across eight domains: evidence-based approaches to public health, public health and health care systems, planning and management to promote health, policy in public health, leadership, communication, interprofessional practice, and systems thinking.

The change in accreditation criteria will eventually have a downstream effect in preparing the public health workforce, but training in cross cutting skills for the current workforce is needed now. The Council of State and Territorial Epidemiologists (CSTE) aims to provide epidemiologists a forum for discussion, resources, and training for cross cutting skills. One example is the recently developed toolkit of resources to promote scientific writing among applied epidemiologists. Since June 2016, CSTE has identified new leadership for the Epi Methods Subcommittee, reinvigorated the Workforce Subcommittee and added a co-chair, and has initiated an Early Career Professionals Workgroup. While other subcommittees and workgroups are topical in nature, the Epi Methods and Workforce Subcommittees’ activities strive to promote a trained and qualified workforce on cross cutting skills.

CSTE will continue to support activities to foster a prepared workforce. The Epi Methods Subcommittee Chairs, Diana Cervantes of the Texas State Department of Health and Talia Brown of Boulder County Public Health, have led the group to develop a strategic plan for 2016-2017 with two major priority areas: 1) Enhancing awareness and promoting best practices in applied epidemiology methods and 2) Working to build and maintain capacity for the application of epidemiologic methods. The Workforce Subcommittee will also develop a strategic plan to be presented at the 2017 CSTE Annual Conference.

CSTE remains committed to equipping epidemiologists with the diverse skills they need—technical and otherwise—to succeed in an evolving public health landscape. You can help us by joining the Workforce and/or Epi Methods Subcommittees to support our workforce development initiatives.


Jessica Arrazola is CSTE’s Acting Director of Workforce Development. To receive more information about the Early Career Professionals Workgroup or other CSTE workforce development projects, contact Jessica at Jarrazola@cste.org.

1 Chapple-McGruder, T., Leider, J., Beck, A., Castrucci, B., Harper, E., Sellers, K., Arrazola, J., and Engel, J. (2016). Examining state health agency epidemiologists and their training needs, Annals of Epidemiology.
2 Hadler, J. (2014). 2013 Epidemiology Capacity Assessment. Accessed via http://www.cste2.org/2013eca/CSTEEpidemiologyCapacityAssessment2014-final2.pdf
3 Council on Education for Public Health. (2016). 2016 revised criteria. Accessed via http://ceph.org/criteria-revision/

Tags:  Cross Cutting  epidemiology  Fellowship  membership  staff spotlight  Workforce Development 

Share |
PermalinkComments (0)
 

We’ve just begun!

Posted By Jennifer Lemmings, Thursday, June 26, 2014
Untitled Document
We at the CSTE National Office spend a lot of time planning for the Annual Conference – determining the topics and the session presentations, finding plenary speakers, getting the right mix of formal sessions and informal discussion and developing networking opportunities. And then, all of a sudden, the conference is here!
We’re at the last day of the conference already, and we’ve had another excellent meeting. Attendees from all over the country gathered to discuss topics ranging from occupational health to surveillance methods to oral health to vectorborne disease. We discussed and approved occupational health and infectious disease position statements that will be posted on our website soon. In addition, Steering Committees and several subcommittees held meetings to discuss their activities in the past year and plans for the upcoming year.
The work doesn’t end with the conference. In fact, CSTE program activities are year round. This summer, CSTE has several collaborative projects and ways for you to stay or get involved.
NNDSS Modernization Initiative (NMI)
CSTE is partnering with APHL to provide technical support for CDC’s NMI on the completion of six message mapping guides (MMGs): generic guide v.2, STD, hepatitis, congenital syphilis, pertussis, and mumps. Through this collaboration, CSTE and APHL will provide technical assistance to invited state and local jurisdictions and assist them in adopting the MMGs and using them to send test case notification messages to the CDC Platform. Stay tuned for webinars, online technical guides, and other training materials to support this implementation. More information on CDC’s NNDSS Modernization Initiative can be found on the CDC website.
New Vectorborne Diseases Subcommittee
This week marked the first meeting of the new vectorborne diseases (VBD) subcommittee. This subcommittee was formed to increase knowledge and improve practices related to VBD epidemiology in local, state, tribal, and territorial settings. The subcommittee will also serve as an overseeing body for reviewing and developing national position statements on VBD-related topics. Activities will include regular conference calls, training webinars, developing white papers, and convening a pre-conference workshop at the 2015 CSTE Annual Conference. If you are interested in joining this new subcommittee, please contact Dhara Patel at the National Office.
Epidemiology Methods Subcommittee
The Epidemiology Methods Subcommittee is another new subcommittee, which aims to increase knowledge and practice of epidemiological methods in state, local, tribal, and territorial settings. The subcommittee meets monthly via conference call to address relevant and emerging topics in epidemiologic methods. The CSTE webinar library is a great place to view past training webinars from this subcommittee and other CSTE program areas—I highly encourage you to check out recent sessions.
Public Health and Primary Care Integration Subcommittee
The Public Health and Primary Care Integration Subcommittee aims to promote partnerships between health providers and public health. This subcommittee addresses community epidemiologic surveillance to support community health needs assessments, the public health interface and use of electronic health records, and sharing lessons learned from successful public health and primary care professional partnerships. Subcommittee activities include regular calls and webinars (available at the webinar library). Contact Jessica Pittman if you are interested in participating in this subcommittee.
CSTE committee conference calls are a great way to find out what’s happening in a subcommittee and participate in discussions. Don’t miss out! Upcoming calls and information can be found on the CSTE calendar.
Not sure what fits best with your interests, or have an idea to share? Call any member of our program staff. We can discuss how you can contribute and be involved. There are plenty of examples of members trying out a committee and finding something they’re passionate about, like Andrea Alvarez or Renee Calanan.
 
We’re looking forward to working with you!
Jennifer Lemmings
Epidemiology Program Director
 
 

Tags:  cross cutting  staff spotlight  surveillance 

Share |
PermalinkComments (0)
 
Association Management Software Powered by YourMembership  ::  Legal