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Open Data for better health service delivery - Fabrizio Scrollini (Latin American Open Data Initiative (ILDA))


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This was presented by Fabrizio Scrollini from the Latin American Open Data Initiative (ILDA) at the Impacts of Civic Technology Conference (TICTeC 2017) in Florence on 25th April. You can find out more information about the conference here:

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Open Data for better health service delivery - Fabrizio Scrollini (Latin American Open Data Initiative (ILDA))

  1. 1. Fabrizio Scrollini, Ph.D Executive coordinator @fscrollini @idatosabiertos Keeping health on Check :Open Data for Health Service Delivery
  2. 2. Research question: • Does open data lead to better health service delivery? • Does data help me ,my family and my community to get a decent health service? Scope &methodology: • Three case studies: Peru, Mexico and Uruguay • Mexico and Uruguay: Action research with local partners • Peru: documentation of existing case
  3. 3. Health Service delivery and accountability Type of initiative Examples Information dissemination Citizen Charters Consultation/ Participation Health or users groups Citizens scorecards Third party monitoring Citizen empowerment Health clinics management committee
  4. 4. T/A Interventions and Impact Expected Impact Problems defining impact Initiatives will expose corruption Transparency and Accountability might not be linked (Fox 2007) Initiatives will increase government responsiveness There is a set of assumptions about how the exposure of information might unchain responsiveness. This causal inference is not often explicit Exercise of rights by poor and marginalised groups, building a new citizenship It is not very clear how these initiatives end up in a different way of exercising citizenship and how and if they include poor voices. Often this new citizenship is poorly defined
  5. 5. Go Digital!
  6. 6. Open Data as…. A project/problem solving/ strategic approach The use of open data to solve social issues. It includes a set of methods or activities such as data dives and hackathons, with the aim to contribute towards the solution of an issue. (Davies, 2016)
  7. 7. Peru: Citizen Control Aim: Check on health service delivery in Peru and expose potential corruption issues through the dissemination of public information Context: Lack of dialogue mechanisms and low levels of transparency in the health sector Open Data infrastructure: Low to non-existent. Data obtained through several methods including scrapping Results Raised awareness of the issue
  8. 8. Mexico: Engaging Aim: Provide an online- offline venue to express citizens grievances with Mexico’s health system Context: Complex, non-transparent and potentially corrupt areas of the health system Open Data infrastructure: Existent but not structured in ways it can be used. Several methods used to gather data including FOI requests Results: Raised awareness of the issue combined with strong offline campaign which delivered changes in the provision of health service delivery in Sonora
  9. 9. Uruguay: Coproduction • Aim: Provide an online tool to inform users about their choices at a critical opportunity Context: Open Government process structuring dialogue for joint initiatives. Complex health system Open Data Infrastructure: Existent but poor. Willingness of actors to produce and structure public data Results: Significant use by health systems users, improvement of the open data infrastructure (better data available as a result of use) and improvement of public debate, as the app was used by key public figures to debate health policies (Scrollini, 2016, Sangakoya et al, 2016)
  10. 10. Capacity and Willingness Willingness/Capacity High Low High Willing and capable government Added value: New tools add value to several policy realms. Coproduction process likely Willing government with low capacity Added value: Performative effect of open data approach shed lights on capacities to develop and help to improve public services. Co production process possible Low Not willing but capable government Added value: An open data approach could help to persuade government officials about the value of releasing data and creating meaningful uses for government and citizen use. Co- production process possible Unwilling and with low capacity Added value: An open data approach can enhance transparency and accountability interventions. Co production process unlikely
  11. 11. On Co-production: 4 key dimensions to consider: • Enabling environment • Shared policy objectives • Partner’s Capacity • Positive feedback loop
  12. 12. What can we learn? ØControl, Engagement and Co-production are three different types of working in an open data approach ØWe should assess initiatives based on what they are seeking to achieve, thus the hypothesis behind these initiatives should be clearly established ØCo-production is not a panacea. Hard work in terms of transactions costs and not clear engagement processes. It does have the potential to alter public sector behavior
  13. 13. What do we need? • Limited PR: there is limited evidence about the impact of this approach. • We need to refine our hypotheses behind these initiatives and evaluate accordingly. Beware of the “I” word. • Standards are not a prerequisite to drive use. Use can show the need for better data standards (if it make sense to local users) • Open it and they will build it not enough: a more “Keynesian” approach is needed.
  14. 14. Thank you/Gracias @fscrollini @idatosabiertos