Creating a culture for data use: It takes a system strengthening approach
•Download as PPT, PDF•
1 like•149 views
This document discusses creating a culture of data use in health decision making. It outlines several constraints to using data currently, including poor data quality, lack of skills and infrastructure. A systems approach is needed that strengthens multiple areas like data quality, availability, analysis tools, governance and supervision. The evolution to an "analytical culture" requires indicators, assessments and technical products. The example of Bangladesh's success with a contraceptive dashboard app that tracks supply points is provided. Key factors in this success were involvement, user-friendly design, training, transparency and partnerships. Continued commitment at all levels is still needed to fully tackle stock-outs and ensure evidence-based decisions.
Recommended
Recommended
More Related Content
What's hot
What's hot (20)
Similar to Creating a culture for data use: It takes a system strengthening approach
Similar to Creating a culture for data use: It takes a system strengthening approach (20)
More from Golam Kibria Madhurza
More from Golam Kibria Madhurza (19)
Recently uploaded
Recently uploaded (20)
Creating a culture for data use: It takes a system strengthening approach
- 1. Creating a culture for data use: It takes a system strengthening approach International Conference on D4D, Dhaka, 2017 Mohammad Golam Kibria Senior Technical Advisor-HIS, SIAPS Bangladesh Management Sciences for Health (MSH)
- 2. Constraints to Using Data in Decision Making in Health • Insufficient access to data • Poor data quality • Insufficient institutional support for data collection and use • Insufficient skills to analyze, interpret and use data • Intuition-based decision making • Lack of coordination • Inadequate ICT infrastructure • Lack of incentive • Lack of integration/interoperability (HMIS-LMIS) • Weak feedback mechanism and data governance • Behavioral factors (e.g. Motivation)
- 3. What does a “system” entails in decision making context? DECISIONS: •Policy, Planning & Advocacy •Program Design & Improvement •Program Management & Operations
- 4. Data use culture: Reporting vs. Analysis Acknowledgement: Brent Dykes PUSH APPROACH PULL APPROACH
- 5. Evolution of data use culture- pathway to gain “analytical” status
- 6. Integrated System Approach- Data for Strategic Decision Making Use of DataUse of Data Data QualityData Quality SOP ComplianceSOP Compliance System Performance System Performance Timely Complete Accurate Indicators SupervisionSupervision MonitorMonitor TECHNICAL ASSISTANCE Availability of Data Availability of Data -Health Information System (HIS) tools, Interoperability, -Decision Support Tool-Dashboards, Reports, problem solving RESULTS Technical Products- Factsheet, Success story, Technical brief, Case study, Research Site performance assessment – Rating, ABCD Analysis RDQA tool Adapted from MSH/CPM Governance: Policy, standardization, HR, ICT infrastructure
- 7. Implementation Status of MOHFW/SIAPS HIS Tools:
- 8. MOHFW Success with DGFP SDP Dashboard to Track Contraceptives With the technical assistance from USAID/SIAPS, DGFP developed and incorporated a web-based Service Delivery Point (SDP) dashboard module to track 29,000 SDPs across the country in the MOHFW Supply Chain Management Portal that contributes- •to reach a consensus not to procure 410,000 implants for FY 2014-15. This led to approximately USD 4.1 million in savings •to transform local level managers from being data producers to data users and has improved decentralized decision making in reducing stock-out for any FP method (it remains at <1%, data as of Feb 2017) •Ultimately, this increased availability of modern contraceptives helped averted 4.99 million unintended pregnancies in 2016 and prevented 5,000 maternal deaths.
- 9. Success Factors: SDP Dashboard • Active involvement of DGFP in design and implementation phase • User-friendly interface, drill-down dashboard with GIS capability and robust inventory management tools developed by in-country software company • Creation of a pool of master trainers and troubleshooters within DGFP • “Open access” data with the intent to make stock-out information publicly available • Functional national steering committee and budget allocation • Transitioning from mammoth paper-based tasks to automation which reduced workload of relevant staff by 66% • Performance of SDPs and their managers is visible • Government and donors’ commitments and strong partnership among stakeholders
- 10. • Ownership, commitment and understanding need to be constantly fostered and reinforced at all levels of the health system and with partners to tackle stock-out • Government needs to increase financial resources and ensure optimal use of existing resources and HIS tools • High visibility of data has profound motivating effects through both recognition of excellence and accountability of poor performance
- 11. • Pro-activeness of the policy makers in reviewing the SDP Dashboard Module and tracking data is important to ensure evidence-based decisions • The push notification system (Mobile Short Message Service) has been facilitating the transition process for local managers from having a “data producing role” to employing a “data use culture”, thus improving decentralized decision making
Editor's Notes
- The end goal is a data-driven culture where everyone sees the value in data, understands the importance of collecting good data, has access to the data, and uses the data to support decision-making.
- Organization needs a process or system to guide people to collect, analyze and use information. Systematic approach helps transform the noise of disordered information into legible signals with the power to sharpen and deepen the focus on the users, and in the process improve health outcomes, the realization of value of services provided.
- Reporting: The process of organizing data into informational summaries in order to monitor how different areas of a business are performing. If most of the team’s time is spent on activities such as building, configuring, consolidating, organizing, formatting, and summarizing – that’s reporting. Reporting follows a push approach, where reports are pushed to users who are then expected to extract meaningful insights and take appropriate actions for themselves (i.e., self-serve). I’ve identified three main types of reporting: canned reports, dashboards, and alerts. Canned reports are fairly static with fixed metrics and dimensions. These custom-made reports combine different KPIs and reports to provide a comprehensive, high-level view of business performance for specific audiences. These conditional reports are triggered when data falls outside of expected ranges or some other pre-defined criteria is met. Once people are notified of what happened, they can take appropriate action as necessary. Analysis: The process of exploring data and reports in order to extract meaningful insights, which can be used to better understand and improve program performance (pattern, trend, relationship). Analysis focuses on different tasks such as questioning, examining, interpreting, comparing, and confirming
- Below are the few points that I highlighted to evolve the data culture: 1. Country need to transition from &quot;reporting&quot; phase to &quot;analysis&quot; phase (predictive analytics/data modeling) to gain more insight from routine data. MOHFW need to strengthen its capacity to manage big data and enhance IT infrastructure. 2. Adoption of low-cost/open source analytics tools for better decision making. For example, Advance Excel (data modelling, power pivot, visual analytics), SPSS/R/EPI-Info (data analysis), Microsoft Power BI (visual analytics), QGIS (Spatial/GIS analysis). Necessary capacity for the MOHFW staff should be built. 3. Quantify the Demographic and Health Impacts using data: cost saved, life saved etc. 4. National dashboard to visualize the country specific national indicators 5. Adoption of innovative mHealth programs (patient-centric service) and DHIS2 6. Creation of a regional hub (a pool of Health Informaticians who will be supporting their regions) 7. Undertake research/evaluation of Health Information Systems (ROI/Economic evaluation) These ideas drew attention of the audience during the presentation. I felt MSH as an organization can consider and adapt some of these ideas; as appropriate.