HWC facility performance dashboard
Objective: To develop a dashboard of primary care facility (a.k.a. Health and Wellness Centers or HWCs) performance for the district using data from routine health management information systems.
Background: There are multiple routine data systems that are used to gather and monitor primary health care related data at the facility, district and state levels in India. However, these systems were designed to monitor implementation of vertical programs and are not integrated with each other. Additionally, neither of these systems individually provide a complete picture of the performance of every HWC facility in the district. To enable HWC facility and district managers to make informed decisions about strengthening PHC, IPSI plans to develop a dashboard that depicts HWC performance by aggregating data from multiple existing routine HMIS. The indicators comprising the dashboard will be a mix of facility-level and catchment community-level service coverage indicators, data for which will be sourced from routine HMIS.
Such a dashboard will enable district, block, and facility managers to:
- Monitor HWC performance indicators from across portals at one place.
- Comparison of HWC facility/ block performance within districts and over time.
- Linkages between facility level and catchment community performance indicators.
- Identification of gaps in performance and areas for improvement.
Steps undertaken:
The dashboard development process included three steps:
(1) Review of global and national literature on facility performance measurement and Indian PHC policy documents. Routine data systems used by HWC facilities were reviewed to construct an inventory of existing data points and indicators.
(2) Stakeholder consultations were held with PHC experts, in-state academic institutes and district health departments of the three districts to identify priority indicators for evaluating HWC performance.
(3) Data compilation, analysis and presentation; quarter-wise data were collected for select indicators, descriptive analysis was conducted, and visual representations of findings were presented to district authority officials. Iteratively, feedback from these consultations was incorporated into the dashboard.