Quality improvement practitioners have traditionally used 3 types of measures or metrics to help track what type of change a quality improvement project produces. The 3 traditional measure types are: process measure, outcome measure, and balancing measure. An equity measure is a new type of measure that is designed to identify and address existing inequities and barriers to attaining health equity for all people, and should be utilized going forward for all quality improvement projects including implementation of this guideline.
Quality Improvement Metrics Defined
SMART Aim
- Specific: Clearly defines what you want to achieve, avoiding vague language.
- Measurable: Specifies how you will track progress and determine success, allowing for objective evaluation.
- Achievable: Ensures the goal is realistic and attainable within the given timeframe and resources.
- Relevant: Aligns with the overall QI project goals and organizational objectives.
- Time-Bound: Sets a clear deadline for achieving the aim, providing a sense of urgency and accountability.
KDD examples for AIM below are not in SMART format. Specific AIMs should include baseline data and goal be time bound as per QI methodology SMART AIM goals. For example: Increase percent of children under 2 with fever and under children under 5 years of age with signs and symptoms who are evaluated within 72 hours from a baseline of # to a goal of # by December 2025 and sustain for 6 months.
Quality Metrics (Non-Validated)
The following are examples of non-validated metrics that could be used by individual providers, health care systems, or multi-center quality improvement collaboratives to monitor adherence to the American Academy of Pediatrics guideline for Urinary Tract Infection. These metrics reflect several key aspects of care for common clinical issues. A subset of these metrics or entirely different metrics could also be selected. These are example QI metrics for pediatricians to consider using and do not represent Academy policy.
Studies have reported inequities in many CPG related outcomes, including difference in antibiotic fill rates, access to quality pediatric tertiary care, and antibiotic prescription differences by race.
Equity Note: Each of the measures may be evaluated with an equity lens by stratifying the data by race, ethnicity, preferred language, sex, gender, and insurance type. Additional stratifications can be done as indicated based on identified inequities.
|
Measure Name |
Type of Measure | Definition | Calculation N= numerator D = Denominator |
|
Example: Infants getting 7 days of antibiotics |
Example: Process, Balancing, Outcome, Equity |
Definition: What are studying |
Calculation: N/D |
|
In ages > 28 days, oral rx given |
Process |
Percentage of infants > 28 days hospitalized for UTI started on oral antibiotics |
N: Infants > 28 days with UTI who were only prescribed oral antibiotics |
|
Prophylaxis in low risk VUR KAS: In children with low risk VUR, antibiotic prophylaxis is not recommended. |
Process |
Percentage of low risk VUR not given prophylaxis |
N: Number of patients without CAP in low risk VUR |
|
Observation within 72 hours versus evaluation |
Balancing |
Number of patients needed hospitalization or disease progression |
N: Number of patients evaluated at 72 hours needing hospitalization/escalation of therapy |
|
Antibiotic duration |
Balancing |
Percentage of children prescribed less than 7 days of antibiotics who returned for care |
N: Number of patients returned to UC/ED/PCP after getting 7 days of antibiotics within 14 days with same diagnosis |
|
RBUS |
Balancing |
Percentage of children with UTI who did not get RBUS where an abnormality was |
N: Number of patients with identified abnormalities on subsequent imaging |
|
Equity in diagnosis and treating UTI |
Equity |
All patients evaluated and treated for UTI were assessed with same criteria. Equity lens of access |
N: |
Dipanwita Saha, MD, FAAP, DABOM is a pediatrician at Kaiser Mid- Atlantic in Columbia, MD. Prior to that, she was the Director of QI at Nationwide Children's Hospital in Columbus, Ohio and Regional Champion for Quality and Safety in PM Pediatrics for the Mid-Atlantic Region. In both places, she was the first to introduce and implement Quality Improvement with regards to antibiotic practices in Urinary Tract Infection. She was the Implementation Scientist for the American Academy of Pediatrics Urinary Tract Infection Clinical Practice Guideline.
Last Updated
07/14/2026
Source
American Academy of Pediatrics