IEW/ODH Identifying Essential and Frontline Workers Using Structured Work Information (878-02)
Welcome to the Identifying Essential Workers Project Space!
This is the home base for the HIV ePrompt project in Confluence. This is the place where we can collaborate, plan for the project, and keep important documentation.
Table of Contents
NACHC Resources
Project Lead @Raymonde Uy
Data questions @Pedro B Carneiro (Deactivated) pcarneiro@nachc.com
Confluence questions @Andrea Price Old Account (Deactivated) aprice@nachc.org
Terminology and Definitions @Raymonde Uy (Unlicensed) ruy@nachc.com
Scope of Work and contracts @Hasna Soulhi
Occupational Data for Health (ODH): ODH is an informatics framework for health IT systems to support individual patient care, population health, and public health.
The ODH information model describes the ODH data elements, how the elements are related to one another as “topics,” and how the topics are related to a person. Healthcare organizations select the topics and data that are important to them.
Value sets are available for most ODH data elements; for downloadable files, see the ODH Hot Topics tab. Occupation and industry are complex concepts, and the extensive ODH value sets are intended to support collection and use of the data.
A Guide to Collection of Occupational Data for Health (ODH): Tips for Health IT Developers provides valuable suggestions for collecting the ODH data elements, particularly occupation and industry values.
The HL7® Work and Health Functional Profile (WHFP) provides recommendations for functionality to manage ODH data in EHRs.
ODH interoperability templates enable adding ODH topics into broader implementation guides (HL7 CDA, IHE CDA, FHIR, V2).
Goal Statement
OVERVIEW: The COVID-19 pandemic has caused significant disruption to the nation’s public health and healthcare infrastructure. Community Health Centers (CHCs) serve as the safety net to the highest-risk patients and often serve as first responders to emergencies such as hurricanes, fires, and public health crises. Health center patients have been the hardest hit by the pandemic because many are essential workers and live in densely populated settings that limit their ability to isolate. Primary Care Associations (PCAs) and Health Center Controlled Networks (HCCNs) support health IT infrastructure for their health centers and could implement Occupational Data for Health (ODH) via informatics solutions at scale to support the integration of these occupational and environmental health data into practice. The National Association of Community Health Centers (NACHC) will engage PCAs/HCCNs as trusted brokers to improve COVID-19 clinical care and prevention by utilizing industry standards for occupational health data at the point of care to support health center workflows and analytics. NACHC will use its Human-Centered Design Framework to ensure that the data capture imposes a reasonable burden on the care teams and patients to result in high data quality and reduce missing data.
By connecting the implementation of ODH with the largescale data for COVID-19 public health surveillance and expertise, this project will establish a definition of “essential worker” from existing occupational codes, develop methods to collect ODH at point of care, assess data quality and completeness, demonstrate value through analytics and provide recommendations for health organization scale and spread.
Main Questions
Are you currently working?
What is your job?
What is your industry?
Objective:
How feasible is it to collect these three questions' data?
Partners will capture 3 data elements in the EHR:
Occupational Status - TBD
Occupational Role - Census Code
Organization/Industry - NAICS Code
Quick links to Frequently Used Resources
2. Instructions, Templates, and Examples for Deliverables (personas and workflows, etc.)
6. Brewer, L. , Making the Pivot to Standardized Patient Work Information Based on Occupational Data for Health
7. Do You Know How Occupational Data for Health Can Support Quality Care | NIOSH | CDC
8. EOP for IEW 2023-02-24 IEW EOP (Template v20220811).docx (sharepoint.com)
9. Data Analytic Plan IEW Y2 D-IS A5 Data Analytic Plan for ODH Data.docx (sharepoint.com)
Regarding clinical decision support and work:
Here is a series of articles, based on work done by NIOSH with partners, about decision support for three top health topics related to work that are pertinent in primary care. At the time we had not completed ODH, so the articles do not reference using job occupation and industry (aka occupation and occupation industry in USCDI v3) as touch points in the record for this, but it would be possible. November 2017 - Volume 59 - Issue 11 : Journal of Occupational and Environmental Medicine (lww.com) scroll to the second page of the TOC for the 5 articles, listed under “COMPUTER-MEDIATED CLINICAL DECISION SUPPORT IN PRIMARY CARE FAST TRACK ARTICLES”.
The “Knowledge Resources” associated with the three topics are here: Joint Statements | ACOEM (new link)
The Diabetes and Work project went a little further and posted information in the AHRQ CDS Connect Repository: see Occupational Factors Impacting Diabetes | CDS Connect (ahrq.gov)
Updates
Q&A
Q: What are the most important elements to collect?
A: At a minimum, Employment Status, Industry and Occupation are what we are looking at.
Employment status coded or mapped to the dictionary codes sheet or PHINVADS value set: https://phinvads.cdc.gov/vads/ViewValueSet.action?id=FB324436-E39A-4562-AE61-45F8DDBC07FD
Industry using NAICS codes (or a limited set) from the dictionary codes sheet, or here: https://phinvads.cdc.gov/vads/ViewValueSet.action?id=AABBF267-2D09-46CA-9CCD-10A742974F25
Occupation using SOC codes (or limited set) from the dictionary codes sheet, or here: https://phinvads.cdc.gov/vads/ViewValueSet.action?id=1445D71C-F37F-4504-8B6C-BA48C5A3F4C
Q: What is the date range requested?
A: The initial thought/idea was that partners will be implementing the ODH codes prospectively, and not retrospectively. If you do in fact have retrospective data on employment status, patient industry/occupation, or any other elements on the data dictionary (mirroring the ODH framework), that would be great/amazing! For now, date range can be the beginning of the grant year (August 1, 2021) until now (also showing when some data capture optimizations / backend programming for ODH were done).
Q: Should this be encounter or patient level data?
A: Patient level would be enough as long as employment status, industry and occupation have ‘date entered’ or ‘date updated’ metadata to see if the implementation is tracked longitudinally.
Q: Are partners collecting the data for the IEW project from the same health centers as for the COVID multi-state project?
A:
AllianceChicago: We are only submitting data for the health center that is participating in the pilot project.
HCN:
OCHIN: Yes, our CHC partner is included in the COVID multi-state project, that data capture is the PNW (OR, ID, and WA) and they are in OR.
Partners and Collaborators
AllianceChicago | OCHIN | HCN | CDC NIOSH | |
|---|---|---|---|---|
Contract Signatory | Fred D. Rachman | Abby - but send all contracts to be signed to Seren | Alex Romillo, President and CEO | |
Accounting Contact | Dana M. Harrison AllianceChicago | Lily Enos A: PO Box 5426, Portland, OR 97228-5426 P: 503.546.4293 F: 503.943.2501 | Balvy Valentin (305) 392-8085 |
|
Project Lead | Shelly Sital | AnnMarie Overholser | Katherine Chung-Bridges, MD, MPH, Project Director | @David Blackley (Unlicensed) @Genny Luensman (Unlicensed) @Kowalski-Mcgraw Michele (Unlicensed) |
Project Manager/Admin | Seren Karasu | Edelise Endemano, Contract and Project Manager "Lizzie" | ||
Data | Jena Wallander Gemkow | Seren Karasu | Daniel Parras, MPH, Data Analyst Hirut Kassaye | |
Communications | ||||
EHR | AthenaPractice | Epic | Transitioning to Epic | |
Workflow | ||||
Others | Shannon Pohl | |||
CHC (one each) (Name of center and Physician Champion with email) | ||||
Sites | Sites and deployment dates:
For 2023-2024, People’s will not be the partner (no longer in network). The new partner will be Family Health of NY. Jena: Our plan was to pull the full AC network of available data from the updated data dictionary. | SA87 University of Western States in Portland, OR SA63 City of Cincinnati Health Department in Cincinnati, OH | HCN Site
AllianceChicago Site
| |
Roles & Responsibilities
NIOSH | NACHC | Partners | Vendors | |
|---|---|---|---|---|
Roles | Provide Input Approve Monitor Advise Evaluate | Facilitate Communicate Design Build Evaluate | Design Build Implement Evaluate Document | Collect documents Analyze Communicate Report Back |
Responsibilities | Monthly meeting to monitor and advise on progress Communicate to Leadership re: project status | Facilitate deliverables and products in workplans and SOW Facilitate meetings with partners Communicate project progress to funder |
|
|
Products |
|
| Human Centered Design Documentation Flow 1.Define project goals 2A. Develop Use Cases 2. B Develop Personas 3. Define Data Dictionary 4. Create Implementation Plan Document pre and post Clinical and Data Workflows Document Lessons Learned/Evaluation Presentations: local, conferences/webinars, etc. |
PROJECT ROADMAP
Recently Updated Pages
Meetings
Dear Confluence Users, If you need support for use of Atlassian tools, please contact informatics@nachc.com whether you have technical issues, need feature assistance, or simply have questions.