Patient-Reported Outcomes Measurement Information System

PROMIS measures physical, mental, and social health using precise patient reports. It helps doctors track changes in health status for adults and children with various medical conditions.

PROMIS Patient Reported Outcomes Measurement Information System PDF assessment form
PROMIS

Patient Reported Outcomes Measurement Information System (PROMIS)

The Patient Reported Outcomes Measurement Information System (PROMIS) offers efficient tools to measure physical, mental, and social wellbeing. It standardises how patients report symptoms, helping track health changes. It's a practical resource for understanding treatment effects across conditions.

Category

Physical health
Mental health
Wellbeing
Monitoring

Disease

Assessment
Quality of Life
Clinical Measurement
Patient-Centered Care

Source

(National Institutes of Health, n.d.)

Author Name

Cella, D., Yount, S., Rothrock, N. et al. (2007)

What is Patient Reported Outcomes Measurement Information System (PROMIS)

The Patient Reported Outcomes Measurement Information System (PROMIS) tracks physical, mental, and social health. It helps experts check patient care. This system uses smart computer adaptive testing and item banks. Questions change based on previous answers, so the test becomes shorter and more precise for everyone involved. It covers key areas like pain intensity, fatigue, depression, and physical function. Patients answer simple questions about daily life. Scores use a standard metric where fifty is the average, making it easy to spot changes or compare results across groups. You can use PROMIS in clinical practice or research settings. It works well on tablets or computers, but paper forms are available too. The flexibility allows for quick checks during visits. Using this tool ensures the patient voice remains central to treatment decisions and improves care quality.

PROMIS Scoring

PROMIS tools can be scored using two main approaches: automated software services or manual conversion tables. 1. Automated Scoring: This uses Item Response Theory to calculate precise scores based on response patterns. It handles missing data well. 2. Manual Scoring: Here, you add up raw values for each question. You then use a profile guide to swap that sum for a standardised T score. A T score of 50 is the average for the general population. Remember, a higher score means more of the concept, which is good for function but bad for symptoms like pain.

View scoring form

Advantages

Reliable data

Provides consistent measurements for clinical research.

Efficient collection

Streamlines research data gathering process.

Condition versatility

Applicable across multiple diseases and conditions.

Outcome tracking

Measures healthcare intervention results systematically.

5
Minutes
20
Questions

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