The PHQ-9 model consists of 9 questions which enables the physician to measure the severity of depression and monitor it over the course of treatment.
Instructions:
Over the last 2 weeks, how often have you been bothered by any of the following problems?
Instructions:
Over the last 2 weeks, how often have you been bothered by any of the following problems?
Research authors: Kroenke K, Spitzer RL, Williams JBW
Details
Formula
Study characteristics
Files & References
★★★★
Model author
Model ID
550
Version
1.5
Revision date
2018-08-15
Specialty
MeSH terms
Model type
Linear model
(Calculation)
Formula | No Formula defined yet |
---|
Condition | Formula |
---|
Additional information
The patient health questionnaire (PHQ) is a self adminstered version of the PRIME-MD diagnostic instrument for common mental disorders. The PHQ-9 is the depression module, which scores eacht of the 9 S\DSM-IV criteria as "0" (not at all) to "3" (nearly every day). The PHQ-9 was completed by 6000 patients in 8 primary care clinics (3000 patients) and 7 obstetrics gynaecology clinics (3000 patients). Construct validity was assessed using the 20-item short form general health survy, self reported sick days and clinic visits, and symptom related difficulty. Criterion validity was assessed against an independent structured mental health professional (MHP) interviuw in a sample of 580 patients.Study Population
Total population size: 6000Males: {{ model.numberOfMales }}
Females: {{ model.numberOfFemales }}
Continuous characteristics
Name | Mean | SD | Unit |
---|---|---|---|
Age, primary care setting | 46 | 17 | years |
Age, obstetrics/gynecology group | 31 | 11 | years |
Categorical characteristics
Name | Subset / Group | Nr. of patients |
---|---|---|
Race, primary care setting | White | 2370 |
African American | 390 | |
Hispanic | 120 | |
Marital status, primary care setting | Married | 1440 |
Never marries | 690 | |
Divorced/seperated/widowed | 870 | |
Education, primary care setting | College graduate | 810 |
Partial college | 810 | |
High school graduate only | 990 | |
Less than high school | 390 | |
Medical conditions, primary care setting | Hypertension | 750 |
Arthritis | 330 | |
Diabetes | 240 | |
Pulmonary | 210 | |
Race, obstetrics/gynecology group | White | 1170 |
African American | 450 | |
Hispanic | 1170 | |
Marital status, obstetrics/gynecology group | Married | 1560 |
Never married | 990 | |
Divorced/separated/widowed | 870 | |
Education, obstetrics/gynecology group | College graduate | 480 |
Partial college | 750 | |
High school graduate only | 960 | |
Less than high school | 810 | |
Medical conditions, obstetrics/gynecology group | Hypertension | 60 |
Arthritis | 30 | |
Diabetes | 30 | |
Pulmonary | 60 |
|
PHQ-9: Patient Health questionnaire 9 for depression severity |
|
V-1.5-550.18.08.15 |
|
Refer to Intended Use for instructions before use |
|
Evidencio B.V., Irenesingel 19, 7481 GJ, Haaksbergen, the Netherlands |
Related files
Preview | Name | Tags |
---|---|---|
![]() |
706.46 kB | Figure (results-page) Protocol |
![]() |
132.56 kB | External validation |
Supporting Publications
Title or description | Tags |
---|---|
The PHQ-9: validity of a brief depression severity measure. | Dataset Internal validation Peer review |
Validation of PHQ-2 and PHQ-9 to screen for major depression in the primary care population. | External validation |
The PHQ-9 total score contains: ... Points
{{ resultSubheader }}
{{ model.survival.PITTitle }}
{{ model.survival.YNETitle }}
Result
Download report
Generating report
Note
Notes are only visible in the result download and will not be saved by Evidencio
The PHQ-9 total score contains: Points
{{ resultSubheader }}
{{ chart.title }}
{{ chart.title }}
{{ chart.title }}
{{ chart.title }}
Outcome stratification
Result interval
{{ additionalResult.min }} to
{{ additionalResult.max }}
Conditional information
Result interpretation
PHQ-9 score of ≥10 has a sensitivity of 88% and a specificity of 88% in detecting MDD.
Calculations alone should never dictate patient care, and are no substitute for professional judgement. See our full disclaimer.
Comments
Rating
Comment
Please enter a comment of rating
Comments are visible to anyone
Model feedback
No feedback yet 1 Comment {{ model.comments.length }} Comments
Recent Psychiatry Models
Recent General practice Models
Sign In
Sign Up
With an Evidencio Community account you can:
- Create and publish your own prediction models.
- Share your prediction models with your colleagues, research group, organization or the world.
- Review and provide feedback on models that have been shared with you.
- Validate your models and validate models from other users.
- Find models based on Title, Keyword, Author, Institute, or MeSH classification.
- Use and save prediction models and their data.
- Use patient specific protocols and guidelines based on sequential models and decision trees.
- Stay up-to-date with new models in your field as they are published.
- Create your own lists of favorite models and topics.

Please sign in to enable Evidencio print features
In order to use the Evidencio print features, you need to be logged in.
If you don't have an Evidencio Community Account you can create your free personal account at:
https://www.evidencio.com/registration
If you don't have an Evidencio Community Account you can create your free personal account at:
https://www.evidencio.com/registration
Printed results - Examples {{ new Date().toLocaleString() }}

Evidencio Community Account Benefits
With an Evidencio Community account you can:
- Create and publish your own prediction models.
- Share your prediction models with your colleagues, research group, organization or the world.
- Review and provide feedback on models that have been shared with you.
- Validate your models and validate models from other users.
- Find models based on Title, Keyword, Author, Institute, or MeSH classification.
- Use and save prediction models and their data.
- Use patient specific protocols and guidelines based on sequential models and decision trees.
- Stay up-to-date with new models in your field as they are published.
- Create your own lists of favorite models and topics.
Disclaimer: Calculations alone should never dictate patient care, and are no substitute for professional judgement.
{{ variable.title }}
{{ displayTable.title }}
{{ row }} |