Early experience of the quality improvement award program in federally funded health centers

Health Serv Res. 2022 Oct;57(5):1070-1076. doi: 10.1111/1475-6773.13986. Epub 2022 May 2.

Abstract

Objectives: To describe the Health Resources and Services Administration's Quality Improvement Award (QIA) program, award patterns, and early lessons learned.

Study setting: 1413 health centers were eligible for QIA from 2014 to 2018.

Study design: We assessed cumulative QIA funding earned and modified funding excluding payments for per-patient bonuses, electronic health record (EHR) use, patient-centered medical home (PCMH) accreditation, and health information technology. We compared health centers on rural/urban location, PCMH accreditation, EHR reporting, and size.

Data collection: Organizational and quality measures are reported in the Uniform Data System, QIA program data.

Principal findings: Average cumulative funding was higher for health centers that were not rural (USD 380,387 [± USD 233,467] vs. USD 303,526 [± USD 164,272]), had PCMH accreditation (USD 401,675 [± USD 218,246] vs. USD 250,784 [± USD 144,404]), used their EHR for quality reporting (USD 374,214 (± USD 222,866) vs. USD 331,150 (± USD 198,689)), and were large (USD 435,473 (± USD 238,193) vs. USD 270,681 (± USD 114,484) an USD 231,917 (± USD 97,847) for small and medium centers, respectively). There were similar patterns, with smaller differences, for average modified payments.

Conclusions: QIA is an important feasible initiative to introduce value-based payment principles to health centers. Early lessons for program design include announcing award criteria in advance and focusing on a smaller number of priority targets.

Keywords: equity; federally qualified health center; health disparities; pay for performance; quality improvement; safety net; value-based payment.

Publication types

  • Research Support, U.S. Gov't, P.H.S.
  • Research Support, N.I.H., Extramural

MeSH terms

  • Awards and Prizes*
  • Electronic Health Records
  • Humans
  • Medical Informatics*
  • Patient-Centered Care
  • Quality Improvement
  • United States