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Patient Health Questionnaire

Clinical Research · NLM MeSH · updated 2026-10-29 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 5 min read

A self-administered version of the Primary Care Evaluation of Mental Disorders (prime-md), a diagnostic tool containing modules on multiple mental health disorders including anxiety, alcohol, eating, and somatoform modules.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (1,007 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

A self-administered version of the Primary Care Evaluation of Mental Disorders (prime-md), a diagnostic tool containing modules on multiple mental health disorders including anxiety, alcohol, eating, and somatoform modules. The Patient Health Questionnaire (phq-9) is designed specifically for mood/depression scoring each of the 9 dsm-iv criteria based on the mood module from the original prime-md. The Generalized Anxiety Disorder scale (gad-7) scores 7 common anxiety symptoms.

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: PHQ Patient Health Questionnaire; Primary Care Evaluation of Mental Disorders; PRIME-MD; Generalized Anxiety Disorder Scale; GAD-7; Patient Health Questionnaire Anxiety and Depression Scale; PHQ-ADS; Patient Health Questionnaire 9.

Where it fits in the MeSH classification

Broader topics
Surveys and Questionnaires; Psychological Tests

Related concepts

  • Prime-Md
  • Phq-9
  • Dsm-Iv
  • Gad-7

Research landscape

PubMed indexes 1,234 records tagged with the MeSH heading “Patient Health Questionnaire” (counts retrieved 2026-10-29). 861 of them (69.8%) were published from 2020 onward, and the busiest period so far is 2020 onward with 861 records.

Reviews account for 47 records (3.8%) and meta-analyses for 22. Randomized controlled trials number 71 (5.8%) as a share of all records on the topic.

PubMed records by publication periodthrough 1999: 0 records; 2000-2009: 0 records; 2010-2019: 421 records; 2020 onward: 861 records0through 199902000-20094212010-20198612020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 19990
2000-20090
2010-2019421
2020 onward861
Share of records by publication typeReviews: 3.8 percent; Meta-analyses: 1.8 percent; Randomized controlled trials: 5.8 percentReviews3.8% (47)Meta-analyses1.8% (22)Randomized controlled trials5.8% (71)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 1,234 PubMed records
TypeRecordsShare
Reviews473.8%
Meta-analyses221.8%
Randomized controlled trials715.8%

Method: PubMed query "Patient Health Questionnaire"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.

Reading the evidence in clinical research

Research methods determine how much a result can be trusted. Randomized trials guard against confounding, systematic reviews and meta-analyses combine many studies, and observational designs are valuable but can show only association. Reporting standards, trial registration and pre-specified outcomes reduce bias. When reading about a method, ask what problem it is designed to solve and which problems it does not solve.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Norms for Zung's Self-rating Anxiety Scale
Dunstan DA, Scott N
2020Research article
Design not recorded in structured metadata
424cc by
PMID 32111187 · DOI · PMC7048044
The reliability and validity of PHQ-9 in patients with major depressive disorder in psychiatric hospital
Sun Y, Fu Z, Bo Q, Mao Z, Ma X, Wang C
2020Research article
Design not recorded in structured metadata
241cc by
PMID 32993604 · DOI · PMC7525967
Clarification of the cut-off score for Zung's self-rating depression scale
Dunstan DA, Scott N
2019Research article
Design not recorded in structured metadata
153cc by
PMID 31185948 · DOI · PMC6558728
Reliability and validity of the Kurdish version of the patient health questionnaire-15 in a trauma-affected population
Mohammed I, Sharif HA, Kizilhan J, Hasin B, Papiol S, Ruebekeil M, et al.
2026Research article
Design not recorded in structured metadata
1cc by
PMID 41917848 · DOI · PMC13063784

Norms for Zung's Self-rating Anxiety Scale [1]

Research article Dunstan DA, Scott N · · 2020 · cited 424 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundZung's Self-rating Anxiety Scale (SAS) is a norm-referenced scale which enjoys widespread use a screener for anxiety disorders.
Closing excerpt
ConclusionsConsideration of prevalence rates and of the potential costs of false negative and false positive diagnoses, suggests that, while the current cut-off of 36 might be appropriate in the context of clinical screening, the original raw score cut-off of 40 would be most appropriate when the SAS is used in research.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (216 words)

BackgroundZung's Self-rating Anxiety Scale (SAS) is a norm-referenced scale which enjoys widespread use a screener for anxiety disorders. However, recent research (Dunstan DA and Scott N, Depress Res Treat 2018:9250972, 2018) has questioned whether the existing cut-off for identifying the presence of a disorder might be lower than ideal.MethodThe current study explored this issue by examining sensitivity and specificity figures against diagnoses made on the basis of the Patient Health Questionnaire (PHQ) in clinical and community samples. The community sample consisted of 210 participants recruited to be representative of the Australian adult population. The clinical sample consisted of a further 141 adults receiving treatment from a mental health professional for some form of anxiety disorder.ResultsMathematical formulas, including Youden's Index and the Receiver Operating Characteristics Curve, applied to positive PHQ diagnoses (presence of a disorder) from the clinical sample and negative PHQ diagnoses (absence of a disorder) from the community sample suggested that the ideal cut-off point lies between the current and original points recommended by Zung.ConclusionsConsideration of prevalence rates and of the potential costs of false negative and false positive diagnoses, suggests that, while the current cut-off of 36 might be appropriate in the context of clinical screening, the original raw score cut-off of 40 would be most appropriate when the SAS is used in research.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 32111187 · DOI · PMC7048044

The reliability and validity of PHQ-9 in patients with major depressive disorder in psychiatric hospital [2]

Research article Sun Y, Fu Z, Bo Q, Mao Z, Ma X, Wang C · · 2020 · cited 241 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundTo assess the reliability and validity of Patient Health Questionnaire-9 (PHQ-9) for patients with major depressive disorder (MDD) and to assess the feasibility of its use in psychiatric hospitals in China.
Closing excerpt
It is a simple, rapid, effective, and reliable tool for screening and evaluation of the severity of depression.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (182 words)

BackgroundTo assess the reliability and validity of Patient Health Questionnaire-9 (PHQ-9) for patients with major depressive disorder (MDD) and to assess the feasibility of its use in psychiatric hospitals in China.MethodsOne hundred nine outpatients or inpatients with MDD who qualified the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV) criteria completed PHQ-9 and Hamilton Depression Scale (HAMD-17). Two weeks after the initial evaluation, 54 randomly selected patients underwent repeat assessment using PHQ-9. For validity analysis, the construct validity and criterion validity were assessed. The internal concordance coefficient and the test-retest correlation coefficients were used for reliability analysis. The correlation between total score and scores for each item and the correlation between scores for various items were evaluated using Pearson correlation coefficient.ResultsPrincipal components factor analysis showed good construct validity of the PHQ-9. PHQ-9 total score showed a positive correlation with HAMD-17 total score (r = 0.610, P ConclusionsPHQ-9 showed good reliability and validity, and high adaptability for patients with MDD in psychiatric hospital. It is a simple, rapid, effective, and reliable tool for screening and evaluation of the severity of depression.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 32993604 · DOI · PMC7525967

Clarification of the cut-off score for Zung's self-rating depression scale [3]

Research article Dunstan DA, Scott N · · 2019 · cited 153 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundZung's Self-rating Depression Scale (SDS) is an established norm-referenced screening measure used to identify the presence of depressive disorders in adults.
Closing excerpt
Specifically, we recommend the use of an SDS raw score of 50 as the cut-off point for clinical significance.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (325 words)

BackgroundZung's Self-rating Depression Scale (SDS) is an established norm-referenced screening measure used to identify the presence of depressive disorders in adults. Despite widespread usage, issues exist concerning the recommended cut-off score for a positive diagnosis. First, confusion arising from the conversion of raw scores to index scores had resulted in a considerably higher cut-off score than that recommended being used by many researchers. Second, research in China [Chin J Nervous Mental Dis. 12:267-268; 2009] and Australia [BMC Psychiatry. 17:329; 2017] had suggested that the current recommended cut-off is lower than ideal, at least in those countries.MethodTo explore these matters further, sensitivity and specificity figures for alternative cut-off points were examined in positive clinical and negative community samples respectively. The positive clinical sample (n = 57) consisted of adults receiving treatment from a medical professional for some kind of depressive disorder, whose diagnosis was positively confirmed using the Patient Health Questionnaire (PHQ). The negative community sample (n = 172) was derived from a representative sample of adults whose absence of any depressive disorder was similarly confirmed by the PHQ.ResultsMathematical models, including Youden's Index and the Receiver Operating Characteristics Curve, suggest that the recommended cut-off (a raw score of 40) is indeed too low. More detailed comparisons, including consideration of the likely numbers of false positives and negatives given prevalence rates, confirm that, ironically, the incorrect SDS cut-off score mistakenly applied by many researchers (a raw score of 50) would appear to provide far greater accuracy.ConclusionsResearch in China [Chin J Nervous Mental Dis. 12:267-268; 2009] has resulted in an elevated SDS cut-off score of 42 being used in many Chinese studies. Research by Dunstan and Scott [BMC Psychiatry. 17:329; 2017] in an Australian context, suggested that a greater increase, to a raw score of 44 might be required. Based on this study, an even larger adjustment is required. Specifically, we recommend the use of an SDS raw score of 50 as the cut-off point for clinical significance.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 31185948 · DOI · PMC6558728

Reliability and validity of the Kurdish version of the patient health questionnaire-15 in a trauma-affected population [4]

Research article Mohammed I, Sharif HA, Kizilhan J, Hasin B, Papiol S, Ruebekeil M, et al. · · 2026 · cited 1 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BACKGROUND: Somatic symptoms are common among trauma-exposed populations and are often associated with persistent distress and functional impairment, highlighting the need for culturally appropriate assessment tools.
Closing excerpt
The instrument may be used as a screening tool for somatic symptom burden in this context, while further validation in broader Kurdish populations is recommended.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (284 words)

BACKGROUND: Somatic symptoms are common among trauma-exposed populations and are often associated with persistent distress and functional impairment, highlighting the need for culturally appropriate assessment tools. OBJECTIVE: This study aimed to translate and culturally adapt the Patient Health Questionnaire-15 (PHQ-15), a screening measure of somatic symptom burden, into Central Kurdish and assess its psychometric properties among survivors of chemical gas exposure. METHODS: A total of 534 survivors were recruited through community and registry sources. After translation and cultural adaptation, item 4 and item 11 were removed due to cultural and gender-specific considerations and limited psychometric performance, resulting in a 13-item version. Factor structure was examined using confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM). Measurement invariance across gender and age groups was evaluated using multi-group CFA. Internal consistency was assessed using McDonald’s omega. An exploratory network analysis (EBICglasso) examined conditional associations among symptoms. RESULTS: Both a unidimensional CFA model (CFI = 0.988, RMSEA = 0.054) and a three-factor ESEM model (CFI = 0.992, RMSEA = 0.046) showed good model fit, with the ESEM structure providing a more differentiated representation of pain/fatigue, gastrointestinal, and cardiopulmonary domains. Measurement invariance testing supported full scalar invariance across gender, while partial metric invariance was observed across age groups. Internal consistency was acceptable (ω = 0.70–0.83). Network estimates demonstrated acceptable stability, with correlation stability coefficients of 0.59 for edge strength and 0.52 for bridge strength, and should be interpreted as exploratory. CONCLUSION: The culturally adapted 13-item Kurdish PHQ demonstrates acceptable reliability and initial evidence of construct validity in trauma-exposed survivors of chemical attacks. The instrument may be used as a screening tool for somatic symptom burden in this context, while further validation in broader Kurdish populations is recommended.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41917848 · DOI · PMC13063784

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Accuracy of Patient Health Questionnaire-9 (PHQ-9) for screening to detect major depression: individual participant data meta-analysis [5]
    Levis B, Benedetti A, Thombs BD, DEPRESsion Screening Data (DEPRESSD) Collaboration · BMJ · 2019 · cited 1,349 times (Europe PMC)
  • Research article Screening for depression in primary care with Patient Health Questionnaire-9 (PHQ-9): A systematic review [6]
    Costantini L, Pasquarella C, Odone A, Colucci ME, Costanza A, Serafini G, et al. · J Affect Disord · 2021 · cited 517 times (Europe PMC)
  • Research article Accuracy of the PHQ-2 Alone and in Combination With the PHQ-9 for Screening to Detect Major Depression: Systematic Review and Meta-analysis [7]
    Levis B, Sun Y, He C, Wu Y, Krishnan A, Bhandari PM, et al. · JAMA · 2020 · cited 419 times (Europe PMC)
  • Research article Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis [8]
    Wu Y, Levis B, Riehm KE, Saadat N, Levis AW, Azar M, et al. · Psychol Med · 2020 · cited 319 times (Europe PMC)
  • Research article Accuracy of the Patient Health Questionnaire-9 for screening to detect major depression: updated systematic review and individual participant data meta-analysis [9]
    Negeri ZF, Levis B, Sun Y, He C, Krishnan A, Wu Y, et al. · BMJ · 2021 · cited 267 times (Europe PMC)
  • Research article The psychometric properties of depression screening tools in primary healthcare settings: A systematic review [10]
    El-Den S, Chen TF, Gan YL, Wong E, O'Reilly CL · J Affect Disord · 2018 · cited 124 times (Europe PMC)

References

  1. Dunstan DA, Scott N. Norms for Zung's Self-rating Anxiety Scale. . 2020. PMID 32111187 · DOI · PMC7048044
  2. Sun Y, Fu Z, Bo Q, Mao Z, Ma X, Wang C. The reliability and validity of PHQ-9 in patients with major depressive disorder in psychiatric hospital. . 2020. PMID 32993604 · DOI · PMC7525967
  3. Dunstan DA, Scott N. Clarification of the cut-off score for Zung's self-rating depression scale. . 2019. PMID 31185948 · DOI · PMC6558728
  4. Mohammed I, Sharif HA, Kizilhan J, Hasin B, Papiol S, Ruebekeil M, et al.. Reliability and validity of the Kurdish version of the patient health questionnaire-15 in a trauma-affected population. . 2026. PMID 41917848 · DOI · PMC13063784
  5. Levis B, Benedetti A, Thombs BD, DEPRESsion Screening Data (DEPRESSD) Collaboration. Accuracy of Patient Health Questionnaire-9 (PHQ-9) for screening to detect major depression: individual participant data meta-analysis. BMJ. 2019. PMID 30967483 · DOI · PMC6454318
  6. Costantini L, Pasquarella C, Odone A, Colucci ME, Costanza A, Serafini G, et al.. Screening for depression in primary care with Patient Health Questionnaire-9 (PHQ-9): A systematic review. J Affect Disord. 2021. PMID 33126078 · DOI
  7. Levis B, Sun Y, He C, Wu Y, Krishnan A, Bhandari PM, et al.. Accuracy of the PHQ-2 Alone and in Combination With the PHQ-9 for Screening to Detect Major Depression: Systematic Review and Meta-analysis. JAMA. 2020. PMID 32515813 · DOI · PMC7284301
  8. Wu Y, Levis B, Riehm KE, Saadat N, Levis AW, Azar M, et al.. Equivalency of the diagnostic accuracy of the PHQ-8 and PHQ-9: a systematic review and individual participant data meta-analysis. Psychol Med. 2020. PMID 31298180 · DOI · PMC6954991
  9. Negeri ZF, Levis B, Sun Y, He C, Krishnan A, Wu Y, et al.. Accuracy of the Patient Health Questionnaire-9 for screening to detect major depression: updated systematic review and individual participant data meta-analysis. BMJ. 2021. PMID 34610915 · DOI · PMC8491108
  10. El-Den S, Chen TF, Gan YL, Wong E, O'Reilly CL. The psychometric properties of depression screening tools in primary healthcare settings: A systematic review. J Affect Disord. 2018. PMID 28866295 · DOI

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-29.

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At a glance

1,234
PubMed records on this heading
70%
published since 2020
47
review articles
71
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-29; they show how much has been written, not how strong the evidence is.

Related topics See all →

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