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Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Drug Control Governance: Regulatory Bodies and Their Impact

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Related Experiment Videos

Longitudinal Changes in Local Public Health Collaboration: Assessing Differences in Governance and Geography.

Amelia L Mitchell1, Marina S McCreight1, Glen P Mays1

  • 1At the time of this study, the authors were with the Department of Health Systems, Management & Policy, Colorado School of Public Health, University of Colorado-Anschutz Medical Campus, Aurora. Marina S. McCreight was also with the Denver-Seattle Center of Innovation for Veteran-Centered and Value-Driven Care and the Rocky Mountain Regional VA Medical Center, Aurora, CO.

American Journal of Public Health
|June 24, 2026
PubMed
Summary

Multisector collaboration in public health services did not significantly change from 1998 to 2023. Rural areas showed less expansion compared to urban areas, potentially due to unique partnership challenges.

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Area of Science:

  • Public Health
  • Health Services Research
  • Health Policy

Background:

  • Multisector collaboration is crucial for delivering essential public health services.
  • Understanding longitudinal changes in collaboration is key to improving service delivery.
  • Factors influencing collaboration intensity require ongoing investigation.

Purpose of the Study:

  • To identify factors associated with changes in multisector collaboration intensity for public health services in the U.S.
  • To analyze trends in collaboration between 1998 and 2023.
  • To compare collaboration changes between urban and rural jurisdictions.

Main Methods:

  • Utilized data from the National Longitudinal Survey of Public Health Systems (1998-2023).
  • Employed paired t tests to assess changes in collaboration intensity.
  • Estimated 2-part models to determine correlates of collaboration probability and intensity.

Main Results:

  • Overall multisector collaboration intensity showed no significant change between 1998 and 2023.
  • Rural jurisdictions exhibited the least expansion in multisector collaborations.
  • Decentralized governance was linked to increased collaboration in urban, but not rural, areas.

Conclusions:

  • Urban jurisdictions demonstrated greater expansion of multisector collaboration than rural ones.
  • Rural areas may encounter distinct obstacles in forming partnerships, potentially worsened by decentralized governance.
  • Targeted strategies may be needed to bolster collaboration in rural public health systems.