Productivity Analysis Review any provider productivity that is significantly different from the UDS Mean in Attachment 1. UDS Mean Visits: Productivity Benchmarks) for each provider type and specialty. Very small FTEs (i.e. 0.10) may result in large differences due to the small number of clinic hours. You may want to focus on providers with an FTE of 0.4 or greater for meaningful differences. Differences of more than 10% in either the positive or negative direction should be noted and reasons for the difference should be explored. Document the analysis in Table 2. Possible causes and consequences of productivity extremes are listed below in Figure A. These are not exhaustive. Table 2. Analysis of Productivity Differences Provider % Difference from Possible Reasons Provider Name Provider Type* Specialty** Mean for Differences (Last, First) (Degree or Licensure) (Areas of Expertise) (1.0 - [HC Visits/FTE ÷ UDS Mean]] Figure A. Productivity Extremes; Causes and Consequences Possible Causes Possible Consequences Provider 1st year of practice or 1st year practicing in the health center Reduced patient access Lost clinic time due to travel between clinic Unfair labor distribution sites for higher producing Differences in on-call coverage distribution providers providers Low Provider boredom or Scheduling issues (addressed in scheduling dissatisfaction section) Possible reduced revenue Staffing issues (addressed in staffing section) Less efficient use of Inefficient use of space resources Slow pace Low patient demand Excess capacity Productivity Experienced provider Overworked provider Extended clinic hours Unfair labor distribution Differences in on-call coverage distribution for higher producing among providers High providers Scheduling issues (addressed in scheduling Provider burnout section) Staff stress Fast pace Provider vacancy High patient demand Capacity shortage
Productivity Analysis Review any provider productivity that is significantly different from the UDS Mean in Attachment 1. UDS Mean Visits: Productivity Benchmarks) for each provider type and specialty. Very small FTEs (i.e. 0.10) may result in large differences due to the small number of clinic hours. You may want to focus on providers with an FTE of 0.4 or greater for meaningful differences. Differences of more than 10% in either the positive or negative direction should be noted and reasons for the difference should be explored. Document the analysis in Table 2. Possible causes and consequences of productivity extremes are listed below in Figure A. These are not exhaustive. Table 2. Analysis of Productivity Differences Provider Name Provider Type* Provider Specialty** % Difference from Mean Possible Reasons for Differences (Last, First) (Degree or Licensure) (Areas of Expertise) (1.0 - [HC Visits/FTE ÷ UDS Mean]] Figure A. Productivity Extremes; Causes and Consequences Possible Causes Possible Consequences Productivity Low Provider 1st year of practice or 1st year practicing in the health center Lost clinic time due to travel between clinic sites Differences in on-call coverage distribution providers Scheduling issues (addressed in scheduling section) Staffing issues (addressed in staffing section) Inefficient use of space Slow pace Low patient demand Excess capacity Reduced patient access Unfair labor distribution for higher producing providers Provider boredom or dissatisfaction Possible reduced revenue Less efficient use of resources High Experienced provider Extended clinic hours Differences in on-call coverage distribution among providers Scheduling issues (addressed in scheduling section) Fast pace High patient demand Capacity shortage Overworked provider Unfair labor distribution for higher producing providers Provider burnout Staff stress Provider vacancy