The Current State of Research Capacity in US Family Medicine Departments

Fam Med. 2019 Feb;51(2):112-119. doi: 10.22454/FamMed.2019.180310.

Abstract

Background and objectives: Capacity for conducting family medicine research has grown significantly since the specialty was founded. Many calls to increase this capacity have been published, but there has been no consistent, systematic, and longitudinal assessment. This survey was designed to gather baseline data with an easily replicable set of measures associated with research productivity that can guide and monitor the impact of efforts to build research capacity in US departments of family medicine (DFMs).

Methods: We surveyed family medicine department chairs regarding departmental research capacity using well-established empirical measures of capacity (trained research faculty, infrastructure, research leadership, and funding) and a self-assessment. We used bivariate analyses to assess correlation between the empirical measures and the self-assessed stage of research capacity.

Results: Self-assessed capacity was significantly associated with every empirical measure. High-capacity departments have more research-trained faculty, more faculty effort, utilize more research "laboratories," have more faculty serving on federal peer-review panels, more faculty as principal investigators, devote more internal funding to research, and garner larger amounts of funding from more external funding sources than moderate or minimal-capacity departments.

Conclusions: US DFMs have made great strides over the past half century in building research capacity. However, much more capacity in family medicine and primary care research is needed to produce new knowledge necessary to improve the health and health care of the nation. Periodic measurement using the simple, replicable, and valid minimum measures of this study provides an opportunity to establish longitudinal tracking of change in research capacity in US DFMs.

MeSH terms

  • Academic Medical Centers*
  • Capacity Building*
  • Family Practice*
  • Financing, Organized / statistics & numerical data
  • Health Services Research / statistics & numerical data*
  • Humans
  • Research Personnel / statistics & numerical data*
  • United States