Public Health Facilities in Karnataka

Project Title:

Assessment & Classification of Inaccessibility of Public Health Facilities in Karnataka

Client / Project Background:

National Health Systems Resource Centre (NHSRC) is committed to lead as professionally managed technical support organization to strengthen public health system and facilitate creative and innovative solutions to address the challenges that this task faces. In the above process, it builds extensive partnerships and network with all those organizations and individuals to share the common values of health equity, decentralization and quality of care to achieve its goals. NHSRC is set to provide the knowledge-centred technical support by continually improving its processes, people and management practices,

Isos Services

NHSRC had assigned Isos Consultancy to assess the inaccessibility of Public Health Facilities across the state of Karnataka. This was a part of a national study covering all states to identify and classify inaccessible and vulnerable facilities as a part of designing a national incentives scheme for health care personnel posted in these facilities under NRHM.

The key aspect of the assignment was to verify the deemed vulnerability (access and living conditions etc.) / difficulty of facilities currently proposed by the respective states based on a uniform and scientific criteria; so the centre can develop an incentive scheme for service providers working in these areas.

The proposed criteria were developed based on three key parameters for defining and standardizing the difficulty / inaccessibility:

  • Accessibility (A)
  • Environment: Social and Natural (E)
  • Housing and Family Amenities (H)

Key Challenges / Innovations

  • Biggest challenge was ensuring coverage of all public health facilities in the state with in a tight deadline.
  • Secondly, designing the survey method, it planning and implementation was another key issue.
  • Studying environment with unlimited characteristics, constraints and restraint on the part of people is a major barrier in data collection.