1. Improvement Basics and an Introduction to Collaborative Improvement CORE Group Fall Meeting: Collaborative Improvement Approaches at the Community Level Lani Marquez, MHS Director of Knowledge Management USAID Health Care Improvement Project University Research Co., LLC (URC)
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4. Traditional approaches have often failed to address processes of care Inputs Outcomes Process Mali MOH community maternal newborn program Standards developed CHWs and traditional birth attendants trained Community health associations formed Mali community collaborative baseline 13% of women reported ANC home/ community visit last pregnancy 25% of CHWs provided birth preparedness counseling 42% women knew 2 newborn danger signs No health commune had a community birth emergency plan
8. Example: QI process followed by team in Uganda Tracked results: Improved enrollment in HIV care from 33% to 100% in 5 months Analyzed process, identified and tested changes: peer escorts, daily cross-check of patient registers, better counseling Created aim : Increase follow-up care for HIV-positive pregnant women
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11. Basics of collaborative improvement Site-level summary Site-level testing of changes and analysis of results Collaborative-level sharing and synthesis of best practices Multiple sites simultaneously testing changes, common indicators, peer learning about how to improve that area of care QI team representative
14. Results from analysis of 135 time series charts from 27 collaboratives in 12 countries Indicator Average for 135 time series charts Reached 80% 88% Reached 90% 76% Absolute improvement 52% Relative improvement 210% Time to achieve 80% 9.2 months Time to achieve 90% 14.3 months Percentage months above 80% once reached 80% 69%
17. How can collaborative improvement be applied to community level programs and services? What are the benefits? What are the challenges?
18. The preceding slides were presented at the CORE Group 2010 Fall Meeting Washington, DC To see similar presentations, please visit: www.coregroup.org/resources/meetingreports
Editor's Notes
This table shows the results of using these indicators to measure performance of 27 collaboratives in 12 countries by the review of 135 time series charts covering 81 unique indicators, based on data from a total of 1,300 teams (3-442 teams per chart). Collaborative improvement was associated with large increases in performance, regardless of baseline level Results were achieved relatively rapidly: 80% reached in 13 months: baseline < 50% 80% reached in 6 months for those starting > 50% Deliberate spread (synthesis of learning, efficient transfer to new sites) appears to reduce time required to raise performance at new sites Collaborative improvement can produce sustained gains in performance 80% performance was sustained on average for 13.4 months out of 19.5 months of data collection