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Prevention Quality Indicators (PQIs)

The prevention indicator reports presented on this Web site were created using Prevention Quality Indicator (PQI) software developed by the Agency for Health Care Research and Quality (AHRQ) and the Department for Health and Human Services (DHHS). PQIs are a set of measures that can be used to identify "ambulatory care sensitive conditions," which are conditions for which good outpatient care can potentially prevent the need for hospitalization, complications or more severe disease.

List of PQIs

PQIs consist of the following 13 ambulatory care sensitive conditions, which are measured as rates of admission to the hospital:

PQIs presented as a percentage rate of population over age 18 are:

  • Diabetes Short-term Complications Admission Rate (PQI 1)
  • Diabetes Long-term Complications Admission Rate (PQI 3)
  • Chronic Obstructive Pulmonary Disease Admission Rate (PQI 5)
  • Hypertension Admission Rate (PQI 7)
  • Congestive Heart Failure Admission Rate (PQI 8)
  • Dehydration Admission Rate (PQI 10)
  • Bacterial Pneumonia Admission Rate (PQI 11)
  • Urinary Tract Infection Admission Rate (PQI 12)
  • Angina Admission without Procedure (PQI 13)
  • Uncontrolled Diabetes Admission Rate (PQI 14)
  • Adult Asthma Admission Rate (PQI 15)
  • Rate of Lower-Extremity Amputation Among Patients with Diabetes (PQI 16)

PQIs presented as a percentage rate of total admissions for the specified condition are:

  • Perforated Appendix Admission Rate (PQI 2)

Composite PQIs

  • Overall - Includes all PQIs except PQI 2
  • Acute – Includes PQIs 10, 11, and 12
  • Chronic – Includes PQIs 1, 3, 5, 7, 8, 12, 14, 15, and 16


This site allows comparison of prevention quality using only these indicators and reflects the time period specified. It may not accurately reflect the current prevention quality for a specific procedure or condition. Please discuss these factors with your health care provider when making important health care decisions.

Understanding The Reports

The following reporting format is used to easily identify areas performing above average, below average, or average for any given indicator.

GREEN: If an area’s risk-adjusted rate (considering a margin of error) is lower than the national average for an indicator, the area is displayed in green.

YELLOW:  If an area’s risk-adjusted rate (considering a margin of error) is comparable to the national average for an indicator, the area is displayed in yellow.

RED: If an area’s risk-adjusted rate (considering a margin of error) is higher than the national average for an indicator, the area is displayed in red.

NOTE:  For Prevention Quality Indicators lower rates usually represent better outpatient care which can potentially prevent the need for hospitalization.  

Example PQI Map: showing counties red, yellow or green according to their performance.


Understanding The Data

Example of Excel worksheet with data.

The data used to develop the PQI reports are standardized administrative information routinely submitted by Kentucky hospitals to bill for their services. This administrative data includes many elements such as procedure codes, diagnosis codes, facility charges and patient demographic information. To fairly report on the prevention quality indicators, the data are “risk-adjusted” to account for the difference in patient severity levels in each geographic location. Risk-adjusting the data is one way we attempt to level the playing field when comparing prevention quality indicators.





Review PQI Maps & Data

To begin reviewing the Prevention Quality Indicator maps and data, click one of the links below (all PDFs).

2009 PQI Charts and Maps  
2010 PQI Charts and Maps   
2011 PQI Charts and Maps   


Last Updated 10/12/2012