Data-Driven Management Strategies in Public Health Collaboratives

This study demonstrates a data-driven management approach to implementing quality improvement in public health collaboratives; findings are used to recommend a strategic management approach.

Varda modeled a simulated urban community in which organizations began to work collaboratively to address a public health issue in order to demonstrate Strategic Collaborative Management (SCM) as a data-driven management strategy. She used the social network analysis program PARTNER to measure the network of collaborating community partners in the simulation.

The author developed SCM as a framework for improving collaboration. Network data, such as that analyzed in the simulation, can help with navigating the steps of the SCM process, which involve considering what resources each partner has to contribute to the group and how to manage them; organizations’ influence and trustworthiness; and where partners’ ties should be fostered or strengthened. Based on the simulation, network data can be used to improve connectivity, trust and resource distribution within collaboratives and lead to a data-driven methodology for SCM.

Data-driven management could help public health departments prepare to meet evolving standards, while networked evaluation could help evaluate public health collaboratives. Recommended next steps include increasing public health departments’ capacity to collect and analyze social network data, and technical assistance for collaboratives to help them use data strategically.

April Issue of Health Affairs Focuses on Patient Safety and Health Care Quality

  1. 1. The Ongoing Quality Improvement Journey
  2. 2. A Road Map for Improving the Performance of Performance Measures
  3. 3. The Trade-Off Among Quality, Quantity, and Cost
  4. 4. Global Trigger Tool' Shows that Adverse Events in Hospitals May be Ten Times Greater Than Previously Measured
  5. 5. Preventing Bloodstream Infections
  6. 6. Measuring the Performance of Individual Physicians by Collecting Data from Multiple Health Plans
  7. 7. Measuring Health Care Performance Now, Not Tomorrow
  8. 8. Despite Improved Quality of Care in the Veterans Affairs Health System, Racial Disparity Persists for Important Clinical Outcomes
  9. 9. The Importance of Transitional Care in Achieving Health Reform
  10. 10. An Early Status Report on the Beacon Communities' Plans for Transformation Via Health Information Technology
  11. 11. A Comparative Study of 11 Local Health Department Organizational Networks
  12. 12. Public Health Performance
  13. 13. A Self-Assessment Process for Accreditation Preparedness
  14. 14. Public Health Delivery Systems
  15. 15. Regionalization in Local Public Health Systems
  16. 16. Public Health Services and Systems Research
  17. 17. A Shot in the Rear, Not a Shot in the Dark
  18. 18. What Predicts Local Public Health Agency Performance Improvement?
  19. 19. Growth of a Scientific Community of Practice
  20. 20. Evolution of Coauthorship in Public Health Services and Systems Research
  21. 21. Resources that May Matter
  22. 22. Evidence Links Increases in Public Health Spending to Declines in Preventable Deaths
  23. 23. Public Health Financial Management Competencies
  24. 24. Decision Science
  25. 25. Public Health Financial Management Needs
  26. 26. Data-Driven Management Strategies in Public Health Collaboratives
  27. 27. Using Geographic Information Systems to Match Local Health Needs with Public Health Services and Programs
  28. 28. Public Health Systems and Services Research
  29. 29. Local Public Health Capacities to Address the Needs of Culturally and Linguistically Diverse Populations
  30. 30. A Needs Assessment for Data and Methods in Public Health Systems Research
  31. 31. Mapping the Multidisciplinary Field of Public Health Services and Systems Research

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