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Development of a Digital Case Management Tool for Community Based Inclusive Development Program.

Manjula Marella1, Donna Koolmees2, Chandalin Vongvilay2

  • 1Nossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne 3010, Australia.

International Journal of Environmental Research and Public Health
|October 23, 2021
PubMed
Summary

A new digital tool aids community-based inclusive development (CBID) programs in low-resource settings. It helps collect and analyze data on disability inclusion, supporting program monitoring and evaluation.

Keywords:
automated analysiscommunity based inclusive developmentdigital data collectiondisability assessmentsupport needs

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Area of Science:

  • Development studies
  • Public health
  • Information technology

Background:

  • Reliable data is crucial for disability-inclusive development practices.
  • Existing tools are often difficult for program teams in low-resource settings to use for data collection and analysis.
  • Community-based inclusive development (CBID) programs require effective monitoring and evaluation.

Purpose of the Study:

  • To develop a digital tool for disability-inclusive development programs.
  • To support routine case management and program monitoring in low-resource settings.
  • To enable data collection and analysis for people with disabilities' needs and support requirements.

Main Methods:

  • Development of a digital Community-Based Inclusive Development (CBID) Modular Tool.
  • Involved stakeholder consultations, auditing existing tools, and content development.
  • Included participatory processes with people with disabilities and software testing.
  • Automated data analysis features were incorporated.

Main Results:

  • The tool measures needs and support in health, functioning, economic, education, and caregiver support domains.
  • It enables intervention planning for people with disabilities.
  • Content is context-specific and universal, derived from validated tools.
  • Facilitates data collection by lay community workers.

Conclusions:

  • The digital CBID Modular Tool supports reliable data collection for disability inclusion.
  • It enhances program monitoring and evaluation in low-resource settings.
  • The tool empowers lay community workers to collect and analyze essential data for CBID programs.