| Literature DB >> 20950523 |
Glen P Mays1, F Douglas Scutchfield.
Abstract
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.Entities:
Mesh:
Year: 2010 PMID: 20950523 PMCID: PMC2995603
Source DB: PubMed Journal: Prev Chronic Dis ISSN: 1545-1151 Impact factor: 2.830
Partnerships Between Local Public Health Agencies and Selected Organizations, 1998 and 2006 a
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| 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 (29,30). These 497 agencies represent approximately 17% of all local public health agencies nationally but serve approximately 70% of the US population. Each agency was surveyed in the fall of 1998 (78% response rate) and again in the fall of 2006 (70% response rate). Data pertain to the 351 agencies that responded in both years.
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.
Figure 1Prevalence 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 (29,30). Seven configurations were identified through multivariate cluster analysis, each one distinguished by network breadth, density, and centrality. Breadth represents the array of actors involved in the partnerships; density represents the amount of interconnectedness between organizations; and centrality represents the relative influence of a single organization within a partnership.
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| 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) |
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| Cluster 4 (Moderate/Moderate/High) | 3 (1-5) | 3 (1-5) |
| Cluster 5 (Moderate/Moderate/Low) | 45 (39-52) | 31 (25-37) |
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| Cluster 6 (Low/Low/High) | 14 (9-18) | 18 (13-23) |
| Cluster 7 (Low/Moderate/Low) | 14 (9-18) | 11 (7-15) |