Public health activities in the United States are delivered through multiple public and private organizations that vary widely in their resources, missions, and operations. Without strong coordination mechanisms, these delivery arrangements may perpetuate large gaps, inequities, and inefficiencies in public health activities. We examined evidence and uncertainties concerning the use of partnerships to improve the performance of the public health system, with a special focus on partnerships between public health agencies and health care organizations. We found that the types of partnerships likely to have the largest and most direct effects on population health are among the most difficult, and therefore least prevalent, forms of collaboration. High opportunity costs and weak and diffuse participation incentives hinder partnerships that focus on expanding effective prevention programs and policies. Targeted policy actions and leadership strategies are required to illuminate and enhance partnership incentives.
Public health activities in the United States are implemented through the combined actions of multiple government and private organizations that vary widely in missions, resources, and operations. Public health agencies serve as focal points, but these agencies rely heavily on their ability to inform and influence the work of others. Public health delivery systems thus are complex and adaptive systems that operate through the interactions of multiple heterogeneous actors. Without strong coordination mechanisms, these systems may perpetuate large gaps and inequities in the availability and effectiveness of public health activities and substantial inefficiencies in performance (
Recognizing these issues, the Institute of Medicine's 2003 review of the nation's public health system called for "a new generation of intersectoral partnerships" that span the many different sectors of organizational activity that affect population health and that coordinate activities across these sectors (
Public health partnerships are forms of collective action undertaken to promote health and prevent disease and injury in populations at risk. Collective action occurs when organizations agree to coordinate activities in pursuit of shared objectives (
Partnership formation in public health depends on the range of organizations available in a given community and the ability and willingness of each organization to contribute to public health activities (
Concepts from behavioral economics suggest that collective actions may falter even when participation incentives are strong. Organizations often fail to value accurately the expected gains from collective action because of common decision errors, including inconsistent information, risk aversion, mistrust, and tendencies to favor the status quo (
Partnerships provide a structure in which organizations can cooperate in producing activities designed to promote health and prevent disease and injury, but organizations will participate only if they have sufficient incentives. The perception of health care providers or payers that participation in a partnership will enhance revenues or reduce costs by increasing the reach and uptake of cost-effective prevention programs and services is an economic incentive. However, the magnitude, distribution, and timing of such financial gains or cost savings are areas of considerable uncertainty and depend heavily on the nature and success of the partnership (
The strength of economic incentives for partnership formation depends not only on the magnitude of expected cost savings but also on the timing and distribution of these savings. Partnerships to promote colorectal screening, for example, involve time lags of a decade or more before cost savings from disease prevention can be expected, while partnerships that enhance tobacco control or vaccination coverage may generate a mix of short-term and longer-term savings. Time lags weaken the economic incentives for public health partnerships, especially for investor-owned organizations that operate under short-term financial expectations and for employers and health insurers that experience turnover in their covered populations over time (
Research suggests that partnership incentives may depend partly on the size and market position of contributing organizations. Organizations that serve large segments of the community have strong incentives for partnership because they stand to gain large shares of any public goods produced through collective action (
Many organizations pursue public health partnerships primarily for noneconomic reasons, such as the desire to reach new target populations, expand the quantity or quality of services, and influence high-priority health issues. Noneconomic incentives often attract organizations with closely compatible missions, resulting in a preponderance of government and nonprofit participants in many public health partnerships (
Partnerships provide a structure for accomplishing several public health functions, including information exchange, planning and policy development, and implementation of programs and policies. Partnerships focus on information exchange by supporting surveillance, epidemiologic investigation, needs assessment, and research translation activities. Contemporary examples include sentinel provider networks for influenza, syndromic surveillance systems, and health registries such as those for monitoring cancer, vaccination, and communicable diseases. More recently, some communities have formed partnerships to support the exchange of electronic health information for clinical decision making as well as public health surveillance and research. Research suggests that the quality of information generated through such partnerships depends partly on the nature of the relationships among participants (
Planning and policy development partnerships promote coordination and reduce duplication among organizations that otherwise work independently. Often these partnerships form as a result of communitywide assessment and performance measurement processes that identify unmet needs and opportunities for coordination, such as the National Association of County and City Health Officials' Mobilizing for Action Through Planning and Partnerships program, or the Centers for Disease Control and Prevention's National Public Health Performance Standards program. In some cases, these partnerships also function as advocacy coalitions that develop and promote policy proposals of common interest (
Implementation partnerships bring organizations together to collaborate in delivering public health interventions. The focus on implementation can allow these partnerships to have more direct and immediate health effects than those focused exclusively on information exchange and planning. However, the success of these endeavors hinges on their ability to focus on evidence-based interventions, target interventions tightly to populations at risk, and pursue implementation on a sufficiently large scale (
Some of the most successful implementation partnerships use external funding to diminish opportunity costs. Prominent examples include federally funded initiatives such as Steps to a HealthierUS, Racial and Ethnic Approaches to Community Health Across the U.S., and most recently Communities Putting Prevention to Work — all of which focus on preventing chronic diseases and reducing health disparities through community-level, multiorganizational actions. The realities of high operating costs but limited external funding mean that these types of partnerships reach a small number of communities nationwide. Moreover, the time-limited nature of external funding creates uncertainties about long-term sustainability of the partnership. Success in securing ongoing financial support and in expanding geographic reach depends heavily on the partnership's entrepreneurship and ability to document health and economic gains (
Partnerships are social networks formed among organizations; consequently, the substantial body of knowledge about social network structure helps to elucidate these collaborations (
Evidence suggests that both the breadth of organizations contributing to public health activities and the scope of their participation has been increasing in recent years. A study of partnerships in US communities with at least 100,000 residents found significant increases in the types of organizations that participate in public health activities from 1998 to 2006 (
Research also shows that public health partnerships generally adhere to 1 of 7 distinct structural configurations based on network breadth, density, and centrality (
Prevalence of 7 public health partnership configurations, 1998 and 2006. Error bars represent 95% confidence intervals. Data were obtained from a survey of the 351 agencies that responded in both years (
| Cluster 1 (High/High/Moderate) | 13 (9-17) | 21 (16-27) |
| Cluster 2 (High/High/Low) | 5 (2-8) | 3 (1-6) |
| Cluster 3 (High/Low/High) | 6 (3-9) | 12 (8-16) |
| Cluster 4 (Moderate/Moderate/High) | 3 (1-5) | 3 (1-5) |
| Cluster 5 (Moderate/Moderate/Low) | 45 (39-52) | 31 (25-37) |
| Cluster 6 (Low/Low/High) | 14 (9-18) | 18 (13-23) |
| Cluster 7 (Low/Moderate/Low) | 14 (9-18) | 11 (7-15) |
Recent evidence suggests that partnerships operate somewhat differently in small and rural communities, where human and material resources are generally more limited. A recent network analysis of rural public health systems finds that smaller communities have fewer organizations available to address local health needs and therefore rely more heavily on the local public health agency to play central roles (
Evidence for the influence of public health partnerships on population health is limited but has grown in recent years alongside the larger evidence base supporting population-based disease prevention interventions (
Evidence concerning the economic impact and cost-effectiveness of public health partnerships is an area largely unaddressed in the empiric literature, as is the more general question of the cost-effectiveness of community preventive services (
A growing body of evidence and experience suggests that multiorganizational partnerships are promising mechanisms for improving public health practice. However, the types of partnerships likely to have the most direct effects on population health are among the most difficult, and therefore least prevalent, forms of collaboration. These implementation partnerships are those that focus on expanding the reach of proven but underused interventions and policies through collaboration among public health agencies, health care organizations, and other stakeholders. To succeed in improving population health, such partnerships must target programs and policies tightly to populations at risk, implement activities on a sufficiently large scale, and maintain fidelity to key program and policy components over time. If successful, these partnerships can serve as vehicles for transforming public health practice from a diverse collection of activities and organizations into an organized and accountable delivery system for public health interventions.
Because the opportunity costs associated with these types of partnerships are high, policy and administrative actions are needed to strengthen the incentives for partnership formation. Better systems for measuring and reporting on the delivery of effective prevention programs and policies at the community level are needed to raise awareness of gaps in implementation and opportunities for collaboration. Accreditation systems and performance standards that are being developed for government public health agencies can be tailored to create incentives for partnerships (
Beyond incentives, successful partnerships are likely to require changes in organizational culture, values, and strategy that can be achieved only through strong organizational leadership. Partnerships require leaders who can elucidate the participation incentives and constraints faced by individual organizations and identify shared objectives and compatible interests. Collaborative leadership can reveal the potential gains from partnerships and help organizations commit to difficult but beneficial public health actions that cannot be accomplished through independent endeavors.
This paper was originally prepared for the University of Wisconsin's Mobilizing Action Toward Community Health (MATCH) project funded by the Robert Wood Johnson Foundation. Support for this research was provided by the Robert Wood Johnson Foundation's Public Health Practice-Based Research Networks Program (award no. 64676). Dr Mays also was supported through a Clinical and Translational Science Award from the National Center for Research Resources (award no. 1UL1RR029884).
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Partnerships Between Local Public Health Agencies and Selected Organizations, 1998 and 2006
| Type of Organization | ||||||
|---|---|---|---|---|---|---|
| State government agencies | 343 (98) | 348 (99) | .20 | 37 | 47 | .01 |
| Local government agencies | 322 (92) | 339 (97) | .02 | 32 | 51 | .001 |
| Federal government agencies | 155 (44) | 215 (61) | .001 | 7 | 12 | .04 |
| Physician organizations | 299 (85) | 325 (93) | .006 | 20 | 24 | .27 |
| Hospitals | 339 (97) | 351 (100) | .004 | 37 | 41 | .40 |
| Community health centers | 179 (51) | 297 (85) | .001 | 12 | 29 | .001 |
| Nonprofit organizations | 334 (95) | 335 (95) | .95 | 32 | 34 | .60 |
| Faith-based organizations | NA | 286 (82) | NC | NA | 19 | NC |
| Community-based organizations | NA | 325 (93) | NC | NA | 32 | NC |
| Health insurers | 159 (45) | 186 (53) | .07 | 9 | 10 | .57 |
| Universities | 230 (66) | 275 (78) | .001 | 16 | 22 | .07 |
| Schools | NA | 315 (90) | NC | NA | 28 | NC |
| Employers and business groups | NA | 269 (77) | NC | NA | 17 | NC |
Abbreviations: NA, not assessed; NC, not calculated.
Data were obtained from a survey of all US local public health agencies that serve communities with at least 100,000 residents (
Defined as participating in 1 or more of 20 core public health activities.
Defined as the mean proportion of activities undertaken through partnerships, based on a list of 20 core public health activities.
Calculated by using χ2 test.
Calculated by using equality of proportions test.
Data element was collected in 2006 only.