Utilization and Costs by Primary Care Provider Type: Are There Differences Among Diabetic Patients of Physicians, Nurse Practitioners, and Physician Assistants?

Med Care. 2020 Aug;58(8):681-688. doi: 10.1097/MLR.0000000000001326.

Abstract

Objective: The objective of this study was to compare health care utilization and costs among diabetes patients with physician, nurse practitioner (NP), or physician assistant (PA) primary care providers (PCPs).

Research design and methods: Cohort study using Veterans Affairs (VA) electronic health record data to examine the relationship between PCP type and utilization and costs over 1 year in 368,481 adult, diabetes patients. Relationship between PCP type and utilization and costs in 2013 was examined with extensive adjustment for patient and facility characteristics. Emergency department and outpatient analyses used negative binomial models; hospitalizations used logistic regression. Costs were analyzed using generalized linear models.

Results: PCPs were physicians, NPs, and PAs for 74.9% (n=276,009), 18.2% (n=67,120), and 6.9% (n=25,352) of patients respectively. Patients of NPs and PAs have lower odds of inpatient admission [odds ratio for NP vs. physician 0.90, 95% confidence interval (CI)=0.87-0.93; PA vs. physician 0.92, 95% CI=0.87-0.97], and lower emergency department use (0.67 visits on average for physicians, 95% CI=0.65-0.68; 0.60 for NPs, 95% CI=0.58-0.63; 0.59 for PAs, 95% CI=0.56-0.63). This translates into NPs and PAs having ~$500-$700 less health care costs per patient per year (P<0.0001).

Conclusions: Expanded use of NPs and PAs in the PCP role for some patients may be associated with notable cost savings. In our cohort, substituting care patterns and creating similar clinical situations in which they practice, NPs and PAs may have reduced costs of care by up to 150-190 million dollars in 2013.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Cohort Studies
  • Diabetes Mellitus / economics*
  • Diabetes Mellitus / psychology
  • Female
  • Health Personnel / economics*
  • Health Personnel / standards
  • Health Personnel / statistics & numerical data
  • Humans
  • Male
  • Middle Aged
  • Nurse Practitioners / economics
  • Nurse Practitioners / standards
  • Nurse Practitioners / statistics & numerical data
  • Patient Acceptance of Health Care / statistics & numerical data*
  • Physician Assistants / economics
  • Physician Assistants / standards
  • Physician Assistants / statistics & numerical data
  • Physicians / economics
  • Physicians / standards
  • Physicians / statistics & numerical data
  • Primary Health Care / economics*
  • Primary Health Care / methods
  • Primary Health Care / statistics & numerical data
  • United States
  • United States Department of Veterans Affairs / economics
  • United States Department of Veterans Affairs / organization & administration
  • United States Department of Veterans Affairs / statistics & numerical data