Field Dispatches: LA County Steps Up Role as Social “Safety Net”

This crisis can be a wake-up call for us to kick-start multi-sector
data sharing including building 
a platform for  data sharing.”
Irene Vidyanti, 
Data Scientist, LA County Chief Information Office.

The COVID crisis has triggered a cascade of connected issues. In Los Angeles, mass unemployment may lead to a 45% jump in homelessness. Financial and food insecurity have spiked. Anxiety, depression, and mental health problems have risen. Simultaneously, many of the nonprofits and community-based organizations addressing these issues have temporarily shuttered during stay-at-home orders.

Programs have been cut, services reduced, and resources have been strained.

Nationwide, many community stakeholders, organizations, and service providers in the All In communities are experiencing similar tensions. The increased demands and reduced resources in these unprecedented times are creating new challenges–challenges that may find solutions in data sharing. 

“There is an urgent need for data to direct resources appropriately based on the best available evidence and to mitigate the risk of spreading the disease,” explains Irene Vidyanti, a Data Scientist with LA County’s Chief Information Office. “We need to respond to the crisis by managing and identifying who among our clients have increased needs and deliver needed services to them.”

A Different World with Different Priorities

LA County developed a data-sharing information hub to solve real time riddles more rapidly. Riddles of the micro and macro variety-a missed appointment, an overnight jail stay, a mental health crisis-to identify solutions and coordinate care faster.

“We had a lot of data, but not a lot of information.” Ricardo Basurto-Davila, Principal Analyst at LA County Chief Information Office, observes.

They needed to be able to see patterns more quickly. The homeless client who missed an appointment yesterday turns out to have been arrested the night before. Zooming out even further, the pattern becomes clearer: the client has missed their last 10 mental health appointments. Now, they can answer the right questions faster with better solutions. In the past couple months, some of those questions have changed, but the solutions can still be found in the systems for shared data.

Responding to the COVID Crisis Faster

LA County pivoted to focus on COVID related challenges at the onset of the crisis. They redirected their data hub to begin focusing on the response to the virus and related factors immediately.

  1. Identifying homeless clients with a positive COVID diagnosis to limit contact and promoting safe isolation practices.
  2. Informing shelter workers of a positive COVID diagnosis so that they can take appropriate precautions.
  3. Prioritizing care for homeless clients with higher risk profiles, CDC identified comorbidities or underlying health factors that put them at increased risk for COVID.
  4. Coordinating care and service delivery for COVID adjacent issues, like food insecurity and other issues.

Vidyanti believes that there are other use case applications that can be deployed as well using the data-sharing strategy for social service clients, justice involved youth, and child / family services.

“This crisis can be a wakeup call for us to kick start multisector data sharing including building a platform for data-sharing.” Vidyanti notes, pointing out that you do not need something as sophisticated as LA County’s platform to get started. Navigating the legal requirements, building partnerships, and coordinating relationships are always the heaviest part of the lift, but laws on data-sharing during a public health emergency are slightly more flexible. Also, the returns on investment are more self-evident and immediate.

Check out our resources below to learn more.

Resources
  • Here is the link to COVID-19 HIPAA resources, including a training on how to apply HIPAA to COVID-19 related data sharing.

Check out additional resources here.

If you enjoyed this content, consider joining an All In Affinity Group.

We encourage you to subscribe to the All In Newsletter to receive updates on programming, as well as join the All In Online Community!

 


What We Have Learned From the First Wave of COVID-19

Early on during the COVID outbreak in the US, All In saw its role as providing support to the frontlines of community-based data sharing. In May, All In hosted the first of three COVID listening sessions, loosely structured forums for collaboration leaders to share their experiences of frustration and success, setbacks and challenges, progress and pitfalls.  Participants described their efforts to leverage the multi-sector relationships to move quickly together in their communities and building new data-sharing tools on top of systems they had built for other purposes.

Some of those stories are powerfully told in this publication.

As a Learning Network, we felt our responsibility during this crisis was to provide reliable, trustworthy, relevant information to our communities. That meant sharing everything from tips for convening in a virtual space to innovations during COVID.

Our intent with this publication is to offer insights, encouragements, ideas, and examples to our network and beyond to showcase how data can be used in times of crisis to provide equitable health solutions.

Click below to download a copy of the publication. Feel free to pass it on and share it broadly. And, we would love to hear from you on how you are using this publication. Please indicate below if it is okay for us to follow up with you in a few months.

Finally, bookmark this page and come back over the next couple of weeks. We will be building out a digital edition adding and updating content, sharing resources, and more. Thank you.

Download here.

We encourage you to subscribe to the All In Newsletter to receive updates on programming, as well as join the All In Online Community!


Resources: Our COVID-19 Response

All In: Data for Community Health, a learning network of over 150 communities, responded to the COVID-19 outbreak early on. While many of our organizations were not on the frontlines themselves—they supported agencies dealing with crisis directly or the economic fall out that accompanied it—from overwhelmed hospital emergency rooms and overburdened public health departments to homelessness shelter, food pantries, housing resources, and more.

The sections below round up content from across the country collecting stories, identifying solutions, and connecting dots to help our communities learn from one another.If you would like to learn more, feel free to subscribe to our newsletter to get biweekly dispatches from the field or join us at community.allindata.org! Connect with over 150 community collaborations across the country dedicated to improving health through multi-sector data sharing.

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Listening Sessions: Using Data Systems to Prioritize Equity in a Time of Crisis

Listening Sessions

All In collaboration members are on the front lines of this crisis and many are identifying surprising new ways to make systems work for people, even as their communities are already stressed by economic hardship and inequities.

At DASH and within All In, we are in a unique position to help think about the future. While we are not on the front lines ourselves, we can collect, collate, and promote what is working and what isn’t. We want to learn from your stories, share them with others, and begin to co-create a national conversation about policy and systems changes for a post-COVID nation.

COVID’s disproportionately impacts vulnerable populations, putting other disparities into focus through data. On Friday, May 29, 2020, All In hosted a second Listening Session titled “Using Data Systems to Prioritize Equity in a Time of Crisis” to share lessons and experiences related to COVID-19. The Listening Session provided a virtual space for 62 attendees where participants learned from one another about what is working in response to COVID.

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Community Informed Programming in a Time of Change

by Miriam Castro and Esther Babawande

“Our connection to our community
allowed us to be responsive to
what was happening during COVID.”
   Lauren Pennachio, Bay Area Health Justice Collective Manager

In uncertain times, there’s power in being able to leverage the collective strength of the community. For the Bay Area Health Justice Collective’s (BAHJC) Housing is Health project, a Data Across Sectors for Health (DASH) CIC-START grantee, prioritizing community voice was critical even during COVID.

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DASH Bright Spot: Partnering with Managed Care Organizations to Share Data for Community Health Improvement

Health departments are increasingly recognizing that managed care organizations (MCOs) can be critical allies in working collaboratively to share key data and understand health outcomes and health care service utilization in their communities. The Allegheny County Health Department is one example of a public health agency that has forged successful partnerships with MCOs in order to work towards shared population health goals.

Allegheny County Health Department leveraged its existing partnerships to collaborate on a project to build a connected da

ta warehouse that would combine data from multiple sectors and export it to a modeling platform to better understand the factors impacting the cardiovascular outcomes of county residents.

The health department was able to engage three MCOs covering roughly 60% of Allegheny County residents. De-identified data from their insurance claims are now being used to help the health department understand cardiovascular risk factors and test the impact of various interventions. This DASH bright spot tells the story behind this innovative data-sharing collaboration.

Download Partnering with Managed Care Organizations to Share Data for Community Health Improvement


Field Dispatches: LA County Steps Up Role as Social “Safety Net”

“This crisis can be a wake-up call for us to kick-start multi-sector
data sharing including building a platform for  data sharing.”

Irene Vidyanti, 
Data Scientist, LA County Chief Information Office.

 

The COVID crisis has triggered a cascade of connected issues. In Los Angeles, mass unemployment may lead to a 45% jump in homelessness. Financial and food insecurity have spiked. Anxiety, depression, and mental health problems have risen. Simultaneously, many of the nonprofits and community-based organizations addressing these issues have temporarily shuttered during stay-at-home orders.

Programs have been cut, services reduced, and resources have been strained.

Nationwide, many community stakeholders, organizations, and service providers in the All In communities are experiencing similar tensions. The increased demands and reduced resources in these unprecedented times are creating new challenges–challenges that may find solutions in data sharing. 

“There is an urgent need for data to direct resources appropriately based on the best available evidence and to mitigate the risk of spreading the disease,” explains Irene Vidyanti, a Data Scientist with LA County’s Chief Information Office. “We need to respond to the crisis by managing and identifying who among our clients have increased needs and deliver needed services to them.”

A Different World with Different Priorities

LA County developed a data-sharing information hub to solve real-time riddles more rapidly. Riddles of the micro and macro variety-a missed appointment, an overnight jail stay, a mental health crisis-to identify solutions and coordinate care faster.

“We had a lot of data, but not a lot of information.” Ricardo Basurto-Davila, Principal Analyst at LA County Chief Information Office, observes.

They needed to be able to see patterns more quickly. The homeless client who missed an appointment yesterday turns out to have been arrested the night before. Zooming out even further, the pattern becomes clearer: the client has missed their last 10 mental health appointments. Now, they can answer the right questions faster with better solutions. In the past couple of months, some of those questions have changed, but the solutions can still be found in the systems for shared data.

Responding to the COVID Crisis Faster

LA County pivoted to focus on COVID related challenges at the onset of the crisis. They redirected their data hub to begin focusing on the response to the virus and related factors immediately.

  1. Identifying homeless clients with a positive COVID diagnosis to limit contact and promoting safe isolation practices.
  2. Informing shelter workers of a positive COVID diagnosis so that they can take appropriate precautions.
  3. Prioritizing care for homeless clients with higher risk profiles, CDC identified comorbidities or underlying health factors that put them at increased risk for COVID.
  4. Coordinating care and service delivery for COVID adjacent issues, like food insecurity and other issues.

Vidyanti believes that there are other use case applications that can be deployed as well using the data-sharing strategy for social service clients, justice-involved youth, and child/family services.

“This crisis can be a wakeup call for us to kick start multisector data sharing including building a platform for data-sharing,” Vidyanti notes, pointing out that you do not need something as sophisticated as LA County’s platform to get started. Navigating the legal requirements, building partnerships, and coordinating relationships are always the heaviest part of the lift, but laws on data-sharing during a public health emergency are slightly more flexible. Also, the returns on investment are more self-evident and immediate.

Check out our resources below to learn more.


Resources
  • Here is the link to COVID-19 HIPAA resources, including training on how to apply HIPAA to COVID-19 related data sharing.

If you enjoyed this content, consider joining an All In Affinity Group.

We encourage you to subscribe to the All In Newsletter to receive updates on programming, as well as join the All In Online Community!


DASH Bright Spot: A Legal Approach to Sharing Health & Education Data

Data sharing partnerships between health and education sectors can help both parties work toward a common vision of improving students’ well-being. Although the Family Educational Rights Privacy Act (FERPA) can sometimes discourage communities from taking action, one Chicago collaboration developed a proactive data sharing and services agreement that eliminates common roadblocks to implementing health programs in schools while protecting students’ privacy.

Motivated by the desire to move projects forward that would improve health and educational outcomes for Chicago students, Chicago Public Schools and the Chicago Department of Public Health envisioned a pathway to align and streamline data sharing efforts, ultimately resulting in a more efficient process. They developed an intergovernmental agreement, compliant with FERPA, that is broad in scope and acts as an umbrella to share commonly used data types between the two entities, such as demographics, immunizations, physical exams, chronic disease, academic performance, vision, hearing, oral health, and social determinants of health.

This bright spot developed by Data Across Sectors for Health (DASH) describes the story behind this innovative agreement and outlines key elements for success to help other communities interested in taking a similar data sharing and legal approach.

Download Legal Approach to Sharing Health & Education Data