Types of Depression Tests Explained

Comprehensive guide to Types of Depression Tests Explained. Compare programs, check eligibility, and find the best options for 2026.

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Do NOT change factual content, source citations, FAQ answers, or HTML structure 9. Do NOT add new claims, statistics, or information 10. Keep same word count (within 10%) Now I'm reading through the article section by section to identify where cliches appear and where sentence structure needs tightening. The opening line needs to be more specific and compelling rather than generic. I'll work through each section, replacing vague language with concrete details while maintaining the original meaning and word count. Looking at the intro, the core message about age, symptoms, and personal history determining which screening tool works is solid -I just need to sharpen how it's presented. The fourth paragraph's warning about misleading results is already punchy and direct. In the requirements section, I can vary the phrasing around \"not one-size-fits-all\" and expand on what those four main factors are. I'm scanning for common cliches like \"comprehensive,\" \",\" \",\" \",\" \",\" \"ever-evolving,\" \",\" and \"\" -none of those appear to be in the current text, which is good. Now I'll go through and refine the language to be more specific and varied while keeping the structure and facts intact. I'm working through how to tighten the introduction while keeping the core message intact. The opening needs more punch -something like \"The test your neighbor took might give you completely wrong results\" hits harder than the original phrasing. I'm condensing the four paragraphs down to something leaner that still covers why test selection matters, how it varies by person, and why readers should pay attention to this guide before taking anything. Age is the first filter -the PHQ-9 works for adults 18 and up, but gives unreliable results for teenagers since adolescent depression looks different. The PHQ-A is built for ages 13 to 17 and includes irritability as a symptom, which matters more in teens. At the other end, the Geriatric Depression Scale targets adults 65 and older because depression in older adults often masks itself as fatigue or memory problems that overlap with normal aging. I'm reviewing the flow and transitions between sections now -the article moves through intro, eligibility, comparison table, screening instructions, disqualifiers, edge cases, score interpretation, resources, and FAQs. Most transitions are just headings, so I'll weave in connecting sentences to make the progression feel more natural. I'm also going to tighten the opening, vary sentence rhythm where things feel repetitive, and smooth out any stiff phrasing while keeping all the facts and structure intact. I'm working through the intro section now - the opening needs to be more specific and compelling, something like how choosing the wrong test can actually misdirect your treatment entirely. The second paragraph should tighten up the explanation of what the page covers. The closing line can be punchier to emphasize the stakes of getting the right match. For the age card, the first few paragraphs work well, but the fourth one is running long and could be condensed down. Looking at the broader structure, I'm noticing several spots that feel a bit stiff or manual-like - phrases like \"follow this step-by-step decision process\" or \"standard screening tools do not cover every person\" read more like instructions than natural guidance. I want to smooth those transitions and make the language feel less formulaic while keeping the same information intact. Now I'm ready to write out the full polished version. I'll make targeted improvements to the opening, tighten up the intro section, vary how I'm introducing the main sections, and create more natural lead-ins to the comparison table and decision framework. Writing the polished article... I'm working through how to tighten the opening while keeping the core message - the wrong test doesn't just give a bad score, it can actually misdirect your entire treatment path. I want to lead with that consequence rather than a generic statement, then anchor it to the factors that actually matter: age, symptoms, and personal history. The key is cutting redundancy while maintaining the urgency of choosing the right tool. Now I'm looking at the requirements section and noticing those short sentences about the two-week rule are stacking up - I should merge them to show how the DSM-5 criteria directly inform why every screening tool uses this timeframe. Moving to the literacy section, I see the Beck and Hamilton scales are being contrasted well - one's self-reported with complex language, the other's clinician-administered. Let me check what comes next with the Hamilton scale description. The Hamilton Depression Rating Scale works differently since a clinician administers it rather than having users self-report, which actually opens it up to people who struggle with written assessments. But that convenience comes with a cost - you need someone trained to give it. For the tools overview, that opening line feels generic. Something like \"The table below shows the most common depression assessments, their purpose, format, and intended population\" is tighter and more direct. And the decision process section could feel more conversational: \"Before selecting a screening tool, work through this decision process\" flows better than the current phrasing. For the disqualifiers section, I'm trying to find the right balance. \"Standard depression screening tools assume an uncomplicated presentation of unipolar depression. Several conditions can make a self-test result invalid or misleading\" captures what needs to be said without overselling it. The \"what if no standard test applies\" section is getting cut off, but it's setting up the idea that standard tools don't cover every situation or every person. For the score interpretation section, I want to tighten it: \"Screening scores are a starting point, not a diagnosis. Here is how to read results from the most common tools.\" That's cleaner than the original three sentences. The transition between sections is already working well with that bridge sentence about factors that can invalidate results, so I'll leave that as is. Now I'm looking at the card for \"Acute Crisis or...\" and need to see what comes next to finish that thought. physical causes. A positive depression screen should be followed by a basic medical evaluation to rule out underlying conditions -screening results alone don't confirm a psychiatric diagnosis. For the \"what if no standard test applies\" section, Option 3 points to NIMH resources for finding mental health providers and understanding when a full evaluation is needed, with a link to state-by-state options. Option 2 mentions that pregnant or postpartum individuals should discuss the Edinburgh Postnatal Depression Scale with their OB or midwife, and those 65 or older should ask their primary care doctor about age-appropriate screening tools. I'm checking the flow between sections now. The tools comparison transitions into the how-to-check section without much of a bridge, and the disqualifiers section flows into what-if-no-standard-test the same way. But step 5 already signals that transition well. The scores section opens with \"Screening scores are a starting point,\" which naturally pivots from the what-if section, and the rest of the document flows reasonably from there into resources and FAQs. Now I'm assembling the full polished version with targeted refinements: tightening the intro, making the tools section intro cleaner, adjusting phrasing in how-to-check and disqualifiers for more natural language, strengthening the what-if opener, tightening the scores section, combining the HAM-D sentence for variety, and restructuring the parallel conditionals in the what-if section. I'll also verify the em dash usage throughout. I'm checking whether the article actually contains em dashes or just spaced hyphens, and it looks like it's consistently using the spaced hyphen format throughout, so there's nothing I need to change on that front. Now I'm ready to write out the complete polished article with the key refinements I've identified: a stronger opening, cleaner transitions in the tools and how-to sections, more natural language in the disqualifiers and what-if sections, and some sentence restructuring for variety without dramatically shifting the word count. Let me also do a quick scan to make sure no paragraphs are running too long. Looking through the cards, most are staying within reasonable bounds -two to three sentences per paragraph with a few hitting four or five at most. The structure feels balanced overall. Now I'm moving into the FAQ section, and I need to be careful here since the instructions are clear about preserving factual content and citations. I'm scanning through for any clichéd language that might have crept in, but so far the answers are holding up well. The clinical terminology like \"gold-standard\" is appropriate in context, and the factual claims are solid. I'll keep these as they are and just focus on smoothing out any repetitive phrasing where it exists. For the final output, I'm thinking about how to connect the sections naturally. The requirements flow into the tools comparison pretty directly, but I could strengthen that transition slightly by adjusting the opening line of the tools section to feel more like a natural continuation rather than an abrupt shift. The how-to-check section could also benefit from a brief acknowledgment of what came before -something that references the table and then moves into the decision process. The disqualifiers and what-if sections already have decent bridges in place, so those feel less urgent to adjust. Now I'm ready to write out the full article with these refinements in mind, keeping everything tight and focused on those transition improvements. Age is the critical first filter -the PHQ-9 works for adults 18 and up, but adolescents need the PHQ-A since teen depression shows up differently, especially with irritability. At the older end, there's a separate scale designed specifically for seniors. Generating comparison table... I'm explaining why depression screening tools focus on the past two weeks -it's based on DSM-5 diagnostic criteria requiring symptoms to persist for at least that long, which distinguishes clinical depression from temporary mood fluctuations or acute grief. This timing consideration matters because a score taken during an active crisis might not reflect someone's baseline pattern, and conversely, very recent symptom onset might not yet meet the two-week threshold. Now I'm moving into how timing affects screening accuracy and when to actually take a test, then shifting to how certain populations need specialized screening tools because standard ones miss condition-specific symptoms like postpartum depression, which uses the Edinburgh scale to distinguish clinical symptoms from normal postpartum recovery effects. For adolescents, the PHQ-A includes irritability as a key symptom since teens often express depression through anger rather than sadness. For younger children, the CDI works for ages 7-17 and offers a parent-report option, which is crucial since young children struggle to self-report their emotional states accurately. literacy and cognitive capacity, tools like the BDI-II can be problematic for people with cognitive impairments or limited literacy because they use complex language and require navigating multiple response options. The HAM-D sidesteps this by having a clinician administer it rather than relying on self-report, making it more accessible for those who can't complete written assessments. If language or literacy is a concern, I should consider recommending a translated or simplified PHQ-9, a clinician-administered tool like the HAM-D, or the GDS for older adults since it uses straightforward yes/no questions and shorter sentences. Now I'm comparing the most common depression assessments side-by-side across their purpose, format, and target population. Generating comparison table... Generating markdown table... I'm walking through the decision tree for selecting the right screening tool -first checking age ranges to narrow down which instruments apply, then considering special circumstances like pregnancy or bipolar disorder history that would require different assessments, and finally verifying that symptoms have persisted long enough to warrant formal screening. I'm noting that standard depression screening tools are designed for straightforward unipolar depression, but several conditions can invalidate or distort the results -and it's crucial to understand these limitations before screening. For instance, if someone has a history of bipolar disorder, tools like the PHQ-9 won't detect manic or hypomanic episodes, and treating bipolar depression with standard antidepressants without mood stabilizers can actually trigger a manic crisis. The Mood Disorder Questionnaire is a better screening option for suspected bipolar symptoms, followed by a full psychiatric evaluation. Similarly, active psychosis -hearing voices, seeing things others don't, or holding beliefs disconnected from shared reality -requires immediate clinical assessment rather than a self-report depression score. And substance use can produce depression-like symptoms that complicate the picture. Continuing with the next section: substances can both mimic and mask depression, so a screening result might reflect substance effects rather than an independent depressive disorder. It's important to disclose substance use to a provider before interpreting results, as a substance evaluation may need to happen alongside the depression assessment. Finally, grief and acute stress reactions produce overlapping symptoms with clinical depression, but the PHQ-9 doesn't distinguish between them. The APA has specific guidance on this distinction. I'm now covering what to do if someone doesn't fit the standard screening criteria -there are alternative assessment options available. The Hamilton Depression Rating Scale is one approach where a clinician administers the test directly through observation and structured questions, which works better for people with cognitive impairments, language barriers, or literacy challenges. There are also condition-specific tools designed for particular populations like pregnant or postpartum individuals. For more complex cases with bipolar disorder, psychosis, or substance use issues, I should skip screening tools entirely and recommend going straight to a psychiatric evaluation. The NIMH has resources to help locate mental health providers, and there's a state-by-state guide for finding local options. I'm also noting the PHQ-2 as a quick two-question alternative when someone feels overwhelmed by longer assessments -though a positive result still warrants the full PHQ-9 or clinical follow-up. Now I'm moving into how to interpret scores. The PHQ-9 ranges from 0 to 27, with higher numbers indicating more severe depression. I'm laying out the general thresholds -mild symptoms around 5-9, clinical follow-up territory at 10-14, and scores of 15 and above typically needing prompt evaluation -though I'm making clear these are guidelines rather than hard rules since clinicians adjust based on individual circumstances. The EPDS works differently, especially for postpartum depression screening, and includes a separate scoring item for self-harm thoughts that gets flagged independently. The GDS is simpler for older adults -just 15 yes/no questions scored as 0 or 1 each, giving a total range of 0 to 15. The BDI-II is more comprehensive and nuanced than these other tools. I'm seeing the FAQ section starting to address an important clinical consideration -whether standard depression screening tools like the PHQ-9 are appropriate for people with bipolar disorder, since they can't distinguish between bipolar depression and major depressive disorder, which has significant treatment implications. The next question covers postpartum depression screening, where the Edinburgh Postnatal Depression Scale is better suited than the PHQ-9 because it avoids questions about sleep and appetite changes that are normal in new mothers and would skew results. Then I'm moving into age-specific screening tools -the PHQ-9 doesn't work for children under 12, so the Children's Depression Inventory is the standard for ages 7 to 17, with a parent-report option for younger kids who can't self-report reliably, and teacher input can also be valuable. For very young children under 7, direct assessment by a pediatric mental health professional is really the way to go rather than relying on standardized tools. Teens aged 13 to 17 have the PHQ-A as their validated version. Now I'm addressing whether the PHQ-9 can be used repeatedly to monitor progress -it absolutely can, and clinicians do this regularly at appointments to watch how symptoms change. The key is keeping conditions consistent: same time of day, same setting, same format whether it's paper or digital. Week-to-week fluctuations are normal, so I should note that single scores don't tell the whole story. Looking at the PHQ-2 versus PHQ-9 distinction, the PHQ-2 is a quick two-question screener focusing on the core depression symptoms -depressed mood and anhedonia -meant for rapid assessment in time-constrained settings. A positive PHQ-2 then prompts the full PHQ-9, which covers all nine DSM-5 criteria and gives a more complete severity picture. Now turning to whether screening tools can replace clinical diagnosis: they can't. These are probability indicators, not diagnostic instruments. The APA is clear that a formal major depressive disorder diagnosis requires a clinician to apply DSM-5 criteria, rule out other causes, assess symptom duration and functional impairment, and consider the whole clinical context. A high PHQ-9 score is a strong indicator that professional evaluation is needed. I'm continuing to refine the wording throughout the page -making transitions smoother, tightening phrasing where it's repetitive, and adjusting tone to be more direct and conversational in places where the original felt more 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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":16775,"cache_read_input_tokens":17805,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":16775},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"8db35d95-6cfe-40fb-837c-e9c4ba9c3223","uuid":"71f195b1-65cc-4f9f-aa2e-b335a5fa0787"}
Robert Williams, Consumer Finance Writer · Updated March 28, 2026

Choosing the wrong depression test can do more than produce a bad score - it can send you toward the wrong treatment before you have started. Your age, your symptoms, and your personal history all determine which screening tool will actually give you useful results.

This page breaks down the most common depression assessments. It explains who each one is designed for, what conditions should be met before you take it, and what to do when standard tests do not apply to your situation.

According to the National Institute of Mental Health (NIMH), depression screening is most useful when the right tool is matched to the right person. A test designed for adults may be meaningless for a teenager. A general screening tool may miss symptoms unique to new mothers or older adults.

Before you take any test, read this page first. It could save you from a result that sends you in the wrong direction.

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The Core Eligibility Factors: What Determines Which Test You Should Take

Depression tests are not one-size-fits-all. Four main factors determine which assessment applies to you.

1. Your Age

Age is the first filter. The most widely used screening tool - the PHQ-9 - is normed for adults aged 18 and older. Using it on a 15-year-old produces unreliable results because adolescent depression presents differently than adult depression.

The PHQ-A (Patient Health Questionnaire for Adolescents) was specifically validated for teens aged 13 to 17. It includes an extra item about irritability, which is a common symptom in adolescent depression that the adult version does not capture.

At the other end of the age spectrum, the Geriatric Depression Scale (GDS) was developed for adults aged 65 and older. Older adults often experience depression differently. Fatigue, memory complaints, and loss of interest can overlap with other age-related conditions. The GDS accounts for this overlap.

According to the Patient Health Questionnaire (PHQ) Somatic Symptom Severity Scale - a publicly licensed tool suite developed by Pfizer - each version of the PHQ was validated on specific age populations. Substituting one version for another undermines the validity of the score.

Age Group Recommended Tool Age Range
Children Children's Depression Inventory (CDI) Ages 7-17
Adolescents PHQ-A Ages 13-17
Adults PHQ-9 or BDI-II Ages 18-64
Older Adults Geriatric Depression Scale (GDS) Ages 65+

2. Symptom Duration - The Two-Week Rule

Nearly every clinical depression screening tool asks you to reflect on how you have felt over the past two weeks. This is not arbitrary. It comes directly from the diagnostic criteria in the DSM-5.

According to the American Psychiatric Association (APA), a major depressive episode requires symptoms to persist for at least two weeks. Single-day mood crashes or acute grief reactions do not meet this threshold.

This creates an important eligibility consideration. If you are currently in the middle of a crisis - a sudden loss, a medical emergency, or an acute mental health episode - a standard screening score may not reflect your baseline. The score captures your state right now, not your underlying pattern.

The two-week window also works in the other direction. If your symptoms just started three days ago, most screening tools are not yet designed to detect a clinical pattern. A follow-up screening in one to two weeks will give a more accurate picture.

What this means for you: Take a depression screening when you have had at least two weeks of consistent symptoms. Do not take one immediately after a single traumatic event unless you are doing so as a baseline measurement under clinical guidance.

3. Your Specific Condition or Life Stage

Some populations have specialized tools because general screening tests miss condition-specific symptoms.

  • Postpartum depression: The Edinburgh Postnatal Depression Scale (EPDS) is the clinical standard for screening after childbirth. New mothers often experience somatic symptoms - fatigue, appetite changes, physical discomfort - that overlap with normal postpartum recovery. The PHQ-9 can over-count these physical symptoms and inflate scores. The EPDS was designed to separate emotional symptoms from physical ones in new mothers.
  • General adult depression: The PHQ-9 covers all nine DSM-5 symptom criteria for major depression. It is the most widely used and researched tool in primary care settings.
  • Older adults: The Geriatric Depression Scale (GDS) uses a simple yes/no format. This matters for older adults who may have cognitive fatigue or difficulty with scaled ratings. It also excludes somatic questions that can be confounded by physical illness common in aging populations.
  • Adolescents: The PHQ-A adds an irritability item not found in the standard adult version. Teens frequently show depression through anger and irritability rather than sadness.
  • Children under 13: The Children's Depression Inventory (CDI) covers ages 7 to 17 and includes a parent-report version. Young children often cannot reliably self-report. The parent version helps clinicians get a fuller picture when the child cannot articulate their feelings.

4. Literacy, Language, and Cognitive Capacity

Many depression screening tools assume a certain reading level and degree of self-awareness. This is a real barrier for some users.

The Beck Depression Inventory (BDI-II) uses nuanced language and requires users to select from multiple graduated response options. Individuals with cognitive impairments, limited literacy, or language barriers may find it difficult to complete accurately.

The Hamilton Depression Rating Scale (HAM-D) is administered by a clinician rather than self-reported, which makes it more accessible to individuals who cannot complete written assessments. The trade-off is that it requires a trained evaluator to administer it.

If you have concerns about language or literacy, consider:

  • Asking your provider for a translated or simplified version of the PHQ-9, which is available in over 30 languages
  • Requesting a clinician-administered tool like the HAM-D rather than a self-report measure
  • Using the GDS for older adults, which uses a simple yes/no format and shorter sentences

Source: National Institute of Mental Health (NIMH) maintains recommendations for accessible screening in diverse populations.

Depression Test Types: A Side-by-Side Comparison

With those factors in mind, here is how the most common assessments compare - by purpose, format, and target population.

Tool Full Name Best For Format Who Administers
PHQ-9 Patient Health Questionnaire-9 Adults 18+ 9-item self-report Self or clinician
PHQ-A Patient Health Questionnaire for Adolescents Teens 13-17 10-item self-report Self or clinician
PHQ-2 Patient Health Questionnaire-2 Quick initial screen 2-item self-report Self or clinician
BDI-II Beck Depression Inventory II Adults 13+ 21-item self-report Self
HAM-D Hamilton Depression Rating Scale Clinical diagnosis confirmation 17-21 items Clinician only
EPDS Edinburgh Postnatal Depression Scale Postpartum / pregnancy 10-item self-report Self or clinician
GDS Geriatric Depression Scale Adults 65+ 15 or 30 yes/no items Self or clinician
CDI Children's Depression Inventory Ages 7-17 Self-report + parent version Self or parent

How to Check Which Test Applies to You

Before choosing any screening tool, work through this decision process.

  1. Determine your age group.

    Under 7: Standard tools do not apply. A pediatric clinician should evaluate your child directly. Ages 7-12: Use the CDI with a parent-report component. Ages 13-17: Use the PHQ-A. Ages 18-64: Use the PHQ-9 or BDI-II. Ages 65+: Use the GDS.

  2. Identify your life stage or specific condition.

    Are you currently pregnant or recently gave birth? Use the EPDS, not the PHQ-9. Do you have a history of bipolar disorder? Do not use any standard unipolar depression screen. See the FAQ section below for guidance on this.

  3. Check your symptom duration.

    Have you had consistent symptoms for at least two weeks? If yes, proceed with screening. If your symptoms started within the past few days, wait and monitor. Then screen after two full weeks have passed.

  4. Consider your literacy and cognitive capacity.

    Can you comfortably read and understand multi-option survey questions? If yes, self-report tools like the PHQ-9 or BDI-II work well. If no, request a clinician-administered tool like the HAM-D.

  5. Check for disqualifying conditions.

    See the next section for a full list of factors that can invalidate a standard self-test result.

What Can Disqualify a Self-Test Result?

Standard depression screening tools assume an uncomplicated presentation of unipolar depression. Several conditions can make a self-test result invalid or misleading - and knowing about them before you screen matters.

Bipolar Disorder History

The PHQ-9 and BDI-II screen for unipolar (major) depression only. They do not detect mania or hypomania. If you have a history of bipolar disorder, these tools can produce a high score during a depressive episode - but that score does not capture the full picture of your condition.

More importantly, treating bipolar depression the same way as unipolar depression can be dangerous. Antidepressants given without a mood stabilizer can trigger a manic episode. Standard screening tools should not be used to guide treatment decisions in people with known or suspected bipolar disorder.

The Mood Disorder Questionnaire (MDQ) is a better starting point for people who may have bipolar symptoms. A full psychiatric evaluation is the appropriate next step.

Active Psychosis

If you are currently experiencing psychotic symptoms - hearing voices, seeing things that others do not, or having beliefs that feel very real but may not be grounded in shared reality - standard depression screening tools are not appropriate.

Psychosis requires immediate clinical assessment. A self-report depression score cannot capture the severity or nature of a psychotic episode. Go directly to a mental health provider or emergency services if you are experiencing active psychosis.

Substance Use

Alcohol and drug use can mimic depression symptoms - low energy, poor sleep, loss of interest, hopelessness. They can also mask depression symptoms.

If you are currently using substances regularly, a depression screening score may reflect the effects of that substance use rather than an independent depressive disorder. This does not mean your symptoms are not real. It means the test result may not accurately identify the cause.

Tell your provider about substance use before interpreting any screening result. A substance use evaluation may need to happen alongside or before a depression assessment.

Acute Crisis or Recent Trauma

Grief, acute stress reactions, and crisis states produce symptoms that overlap with clinical depression. The PHQ-9 does not distinguish between grief and a major depressive episode.

According to the American Psychiatric Association (APA), the DSM-5 was revised to allow clinicians to diagnose depression even in the context of bereavement - but this requires clinical judgment, not just a screening score.

If you recently experienced a major loss or traumatic event, a high screening score may reflect a normal acute response rather than a clinical disorder. A provider can help you interpret the result in context.

Medical Conditions That Mimic Depression

Hypothyroidism, anemia, vitamin D deficiency, and several other medical conditions produce symptoms that look like depression. Fatigue, low mood, poor concentration, and sleep problems can all have physical causes.

A positive depression screen should be followed by a basic medical evaluation to rule out physical causes. Self-test results alone do not confirm a psychiatric diagnosis.

What If No Standard Test Applies to You?

Not everyone fits the standard screening mold. If you fall outside the typical eligibility criteria, these four options can help.

Option 1: Request a Clinician-Administered Assessment

The Hamilton Depression Rating Scale (HAM-D) is administered by a trained clinician rather than completed by the patient. It does not require reading fluency or the ability to rate your own mood on a numerical scale. A clinician observes your behavior and asks structured questions, then scores the responses.

This is often the best path for individuals with cognitive impairments, severe language barriers, or low literacy levels.

Option 2: Use a Condition-Specific Tool

Pregnant or recently postpartum? Ask your OB or midwife about the Edinburgh Postnatal Depression Scale (EPDS). Adults 65 and older should ask their primary care provider about the Geriatric Depression Scale (GDS). If your child needs screening, the Children's Depression Inventory (CDI) includes a parent version that reduces reliance on child self-report.

Option 3: Pursue a Full Psychiatric Evaluation

Screening tools are not diagnostic. They identify the likelihood of a depressive disorder, but only a qualified clinician can make an actual diagnosis. If you have complex history - bipolar disorder, psychosis, active substance use, or multiple co-occurring conditions - skip the screening tools and go directly to a psychiatric evaluation.

The NIMH maintains resources for finding mental health providers and understanding when a full evaluation is warranted. See the state-by-state resources page for local mental health options.

Option 4: Use a Brief Two-Item Screen First

The PHQ-2 is the shortest version of the PHQ family. It asks only two questions about the core symptoms of depression - low mood and loss of interest. It is often used as an initial filter when a full nine-item screen feels overwhelming or when time is limited.

A positive PHQ-2 result should be followed by the full PHQ-9 or a clinical assessment.

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Understanding What Your Score Means

Screening scores are a starting point, not a diagnosis. Here is how to read results from the most common tools.

PHQ-9 Score Ranges

The PHQ-9 scores range from 0 to 27. Higher scores suggest more severe symptoms. Typical clinical thresholds suggest:

These thresholds are guidelines, not cutoffs. A clinician may treat lower scores or monitor higher ones depending on your full history.

EPDS Scoring Differences

The Edinburgh Postnatal Depression Scale uses different thresholds than the PHQ-9. This matters because new mothers may receive different guidance depending on which tool their provider uses. The EPDS also includes a specific item about self-harm thoughts, which is scored separately from the total.

GDS Yes/No Format

The Geriatric Depression Scale short form contains 15 yes/no questions. A simple response format reduces cognitive burden for older adults. Each answer is scored 0 or 1. The total gives a range from 0 to 15.

BDI-II Nuance

The Beck Depression Inventory (BDI-II) is more detailed than the PHQ-9. Each of its 21 items presents four statements ranked by severity. Respondents choose the statement that best describes how they have felt over the past two weeks. The BDI-II is sensitive to symptom severity and is often used in research and clinical outcome tracking.

Source: Patient Health Questionnaire (PHQ) Somatic Symptom Severity Scale - the PHQ suite, developed by Pfizer and now publicly licensed, includes scoring guidelines for the PHQ-9, PHQ-A, and PHQ-2 at no cost for clinical or research use.

Frequently Asked Questions

Can I take a depression test if I've already been diagnosed with bipolar disorder?

Standard unipolar depression tests like the PHQ-9 are not validated for people with bipolar disorder. During a depressive episode, these tools may produce a high score - but the score cannot distinguish bipolar depression from major depressive disorder. Treating bipolar depression based on a PHQ-9 result alone can be risky. Antidepressants prescribed without mood stabilizers may trigger a manic episode. Instead, ask your provider about the Mood Disorder Questionnaire (MDQ), which screens for bipolar features. A full psychiatric evaluation is the appropriate pathway for anyone with a known or suspected bipolar diagnosis.

Is there a depression test specifically for postpartum or pregnancy-related symptoms?

Yes. The Edinburgh Postnatal Depression Scale (EPDS) is the gold-standard tool for postpartum screening and is also used during pregnancy. It differs from the PHQ-9 in an important way: it excludes somatic questions about sleep, appetite, and fatigue. These physical symptoms are common in all new mothers and can inflate PHQ-9 scores even in women who are not depressed. The EPDS uses different scoring thresholds and includes a specific item about self-harm ideation scored separately. If you recently gave birth or are currently pregnant, ask your OB, midwife, or primary care provider to administer the EPDS rather than a general screening tool.

Do depression tests have a minimum age requirement, and what should parents use for younger children?

The PHQ-9 is not validated for anyone under age 12 and should not be used with children. The Children's Depression Inventory (CDI) covers ages 7 to 17 and is widely used in pediatric clinical settings. It includes a parent-report version for children who cannot reliably self-report - which is common in younger children and those with developmental differences. A separate teacher-report version is also available. According to the NIMH, children under age 7 should be assessed directly by a pediatric mental health clinician rather than using standardized self-report tools. For teens aged 13-17, the PHQ-A is the recommended version.

Can I use the PHQ-9 more than once to track my symptoms over time?

Yes - repeated PHQ-9 administration is a common and accepted clinical practice. Many providers use it at each appointment to track symptom changes over time. To get reliable comparisons, take it under consistent conditions: the same time of day, the same general context, and ideally the same format (paper vs. digital). Scores can fluctuate naturally week to week. A single high score does not confirm a diagnosis, and a single low score does not confirm recovery. Trends over multiple administrations are more meaningful than any one result. Always share your scores with a provider rather than interpreting changes on your own.

What is the difference between the PHQ-2 and the PHQ-9, and when should I use each one?

The PHQ-2 is a two-item rapid screen that asks only about depressed mood and loss of interest - the two core symptoms of depression. It is designed as an initial filter in busy clinical settings where time is limited. A positive PHQ-2 result (typically a score of 3 or higher) indicates that a full PHQ-9 assessment is warranted. The PHQ-9 covers all nine DSM-5 symptom criteria and produces a severity score. If you are screening yourself for the first time and want a quick check, the PHQ-2 can be a starting point. But for any meaningful clinical picture, the PHQ-9 provides far more useful information. Both are part of the publicly licensed PHQ suite developed by Pfizer.

Can a depression screening test replace a diagnosis from a doctor?

No. Screening tools identify the probability that a clinical condition may be present. They are not diagnostic instruments. According to the American Psychiatric Association (APA), a formal diagnosis of major depressive disorder requires a clinician to apply the DSM-5 criteria - which involves ruling out other causes, evaluating symptom duration and impairment, and considering the full clinical picture. A high PHQ-9 score is a strong signal that professional evaluation is needed. It does not by itself confirm a diagnosis. Likewise, a low score does not rule out depression if your symptoms are being underreported or if your symptoms do not fit the typical pattern captured by the test.

About this article

Researched and written by Robert Williams at depression tests. Our editorial team reviews depression tests to help readers make informed decisions. About our editorial process.