Article Figures & Data
Tables
- Table 1.
Primary Care Practice Characteristics, by Medical Assistant to Primary Care Clinician Staffing Ratios
All Practices 2 or More Medical Assistants per PCC Fewer Than 2 Medical Assistants per PCC P Valuea No., (%) 1,252 142 (11.3) 1,110 (88.7) Practice ownership (%) P <0.01 Independent 19.7 34.0 17.8 Medical group 6.4 7.8 6.2 Hospital 14.5 18.4 14.0 Health system 38.9 17.6 41.6 Federally Qualified Health Center 19.7 21.5 19.4 Other 1.0 0.8 1.0 Independent practice association affiliation (%) 15.8 14.9 15.9 Practice size P <0.01 Solo physician 0.5 1.8 0.4 Small (2-9 physicians) 76.9 82.6 76.2 Medium (10-19 physicians) 13.2 11.4 13.5 Large (20+ physicians) 9.3 4.3 10.0 Primary care physicians (mean, SD) 6.5 (6.9) 4.9 (3.2) 6.7 (7.2) P <0.01 Advanced practice clinicians (mean, SD) 3.7 (5.7) 3.9 (6.0) 3.7 (5.7) Specialty mix No specialists 58.9 61.3 58.6 Low specialists (1-29%) 20.9 17.5 21.3 High specialists (30% + ) 20.3 21.1 20.1 Rural-urban continuum code (%) Metropolitan 82.3 80.6 82.5 Micropolitan 10.4 10.7 10.3 Small town 4.9 7.6 4.5 Rural 2.5 1.1 2.7 Area deprivation index of practice zip code 96.5 (19.7) 99.6 (16.1) 96.1 (20.0) P <0.05 Weekend care (% yes) 31.7 43.0 30.2 P <0.05 After-hours weekday care (% yes) 57.2 68.2 55.8 P <0.05 Professional language services (% always/often) 71.4 66.8 71.8 Behavioral health integration (% yes) 50.7 49.9 50.9 Reduced staff hours/layoffs (% yes) 38.5 30.0 39.5 Staffing shortages impacting patient care (%) P <0.05 Not at all 9.1 12.0 8.8 A little 17.2 28.3 15.8 Some 35.6 29.7 36.4 Quite a lot 38.1 30.1 39.0 Complex care management processes (range: 0-3; mean [SD]) 1.7 (0.8) 1.8 (1.0) 1.7 (0.7) Practice innovation culture (range: 0-3; mean [SD]) 1.5 (0.7) 1.7 (0.6) 1.5 (0.7) P <0.01 Health information technology functions (range: 0-1; mean [SD]) 0.7 (0.3) 0.6 (0.3) 0.7 (0.3) P <0.05 PCC = primary care clinician.
↵a Values without P values are not statistically significant (P >0.05).
Note: Specialty mix was calculated as specialists divided by total physicians and advanced practice clinician count included include nurse practitioners, physician’s assistants, and clinical nurse specialists. Health information technology functions included questions assessing patient access to their electronic medical records, patient input into medical records, secure messaging, prescription refill notifications, advanced analytics. Complex care management processes included measures of non-physician involvement with patient care coordination, adherence to care plans, supporting risk modification and medication adherence. The Area Deprivation Index of the practice’s zip code from the Neighborhood Atlas was sourced from the Neighborhood Atlas and includes the domains of income, education, employment, and housing quality, where areas with greater socioeconomic disadvantage are ranked higher. The rural-urban continuum code of the practice’s zip code was included. Staffing shortages were assessed using responses to a question that asked, “How much are staff shortages within your practice impacting patient care (do not include shortages related to being ill with COVID)?,” which included the response options of “Not at all,” “A little,” Some,” and “Quite a lot.”
- Table 2.
Adjusted Analyses: Practice Characteristics Associated With Medical Assistant per Primary Care Clinician Staffing Ratios
Two or More Medical Assistants per PCC Adjusted Odds Ratios (95% CI) P Valuea Practice ownership Independent 1.76 (1.07, 2.89) P <0.05 Medical group 2.09 (1.12, 3.90) P <0.05 Hospital 1.47 (0.74, 2.94) Health care system (reference) − Federally Qualified Health Center 1.46 (0.85, 2.50) Other ownership 2.15 (0.54, 8.66) Practice size Solo physician 8.73 (2.45, 31.1) P <0.01 Small (2-9 physicians) 2.63 (1.17, 5.93) P <0.05 Medium (10-19 physicians) 1.59 (0.68, 3.76) Large (20+ physicians) (reference) − Independent practice association affiliation 0.86 (0.57, 1.31) Advanced practice clinicians (mean, SD) 1.02 (1.00, 1.05) Specialty mix No specialists (reference) − Low specialists (1-29%) 0.88 (0.54, 1.41) High specialists (30% + ) 1.20 (0.73, 1.96) Rural-urban continuum code Metropolitan (reference) − Micropolitan 0.89 (0.52, 1.54) Small town 1.08 (0.56, 2.10) Rural 0.51 (0.15, 1.74) Area deprivation index 1.00 (0.99, 1.01) Staffing shortages impacting patient care Not at all (reference) A little 1.26 (0.71, 2.20) Some 0.97 (0.57, 1.65) Quite a lot 0.75 (0.44, 1.32) Complex care management processes 1.07 (0.86, 1.35) Practice innovation culture 1.35 (1.03, 1.78) P <0.05 Health information technology functions 0.63 (0.33, 1.18) Constant 0.21 (0.01, 0.12) P <0.001 PCC = primary care clinician.
↵a Values without P values are not statistically significant (P >0.05).
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