Skip to content

Lightweight Python application for curation/analysis of a first-ever Orange County dataset on healthcare barriers in the IDD/MH population

Notifications You must be signed in to change notification settings

jairus-m/BarrierLog

Repository files navigation

Background

  • Families in Orange County with children having an intellectual or developmental disabilities/mental health (IDD/MH) diagnosis face an overwhelming amount of barriers to resources and support access
  • Despite expressed challenges, healthcare leadership has dismissed the need for significant system changes
  • The Advocacy for People with Disabilities project involves 30+ families sharing experiences, identifying barriers, and undergoing advocacy training
  • The first phase involved collecting testimonies, resulting in a comprehensive list of identified barriers from their lived experiences
  • This initiative aims to empower families and provider organizations to advocate for policy change by creating a "first-ever" dataset that reflects the experiences of families in a quantifiable way while also referring families to our advocacy group

Data Collection

  • Anyone who witnessess an incident of system barriers is encouraged to fill out this barrier log
  • Individuals filling out the log include but are not limited to:
    • Family/Caregivers
    • Social workers
    • Therapists (Behavioral/Speech/Occupational/Physical/Mental)
    • Medical Personnel (Physicians/Nurses/etc)
    • Community Navigators
    • CBO Leaders/Staff
    • RCOC Staff

Goal

  • Begin to identify and understand the barriers of the target population
  • Create a dataset than can be presented to OC leadership to acknowledge and expose the reality that their community is facing
  • Track/analyze data for future research and use

Barrier Log Data

barrierReferralData.py:

  • Contains the BarrierReferralData class which makes a call to the Jotform API, downloads the unstructured JSON data, parses it, and stores the data in a structured Pandas dataframe. It includes helper functions to parse the data and class methods that aid in analysis, updating data, and retreiving meta data on the API/JSON response.

Streamlit App

app.py:

  • Contains the Plotly plots and logic for Streamlit App

Note:

  • Jotform credentials/secrets are stored in Streamlit's secure deployment environment within a .toml file.
  • Jotform Account Expires July 2024 (application functionality will depend on this).
  • This is not academic research nor aims to make statistically significant findings with rigorous methodology
  • The main goal of this initiative is for exploration of the lived experiences of OC's community with respect to healthcare barriers and children with IDD/MH

About

Lightweight Python application for curation/analysis of a first-ever Orange County dataset on healthcare barriers in the IDD/MH population

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages