The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
The reliability and validity of PHQ-9 in patients with major depressive disorder in psychiatric hospital
Open accessPublished version of a preprint
Abstract
BACKGROUND: To 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. METHODS: One 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. RESULTS: Principal 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 < 0.001). With HAMD as the standard, PHQ-9 depression scores of 7, 15, and 21 points were used as cut-offs for mild, moderate, and severe depression, respectively. Consistency assessment was conducted between the depression severity as assessed by PHQ-9 and HAMD (Kappa = 0.229, P < 0.001). Intraclass correlation coefficient between PHQ-9 total score and HAMD total score was 0.594 (95% confidence interval, 0.456-0.704, P < 0.001). The Cronbach's α coefficient of PHQ-9 was 0.892. Correlation coefficients between each item score and the total score ranged from 0.567-0.789 (P < 0.01); the correlation coefficient between various item scores ranged from 0.233-0.747. The test-retest correlation coefficient for total score was 0.737. CONCLUSIONS: PHQ-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.
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“The Patient Health Questionnaire-9 (PHQ-9) (Spitzer et al., 1999) measures symptoms of depression with good internal consistency ( α = 0.89) and a test-retest reliability of 0.74 (Sun et al., 2020).”
From Acceptance and Commitment Therapy for inpatients with psychosis –an acceptability and feasibility single case AB designed study (2022) · cites this paper as Sun et al., 2020
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The PHQ-9: Validity of a brief depression severity measure
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.2001.016009606.x · Cited by 44,910
Kroenke, K., Spitzer, R. L., Williams, J. B. W., & Löwe, B. (2010) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2010.03.006 · Cited by 4,057
Wang, W., Bian, Q., Zhao, Y., Li, X., Wang, W., Du, J., Zhang, G., Zhou, Q., & Zhao, M. (2014) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2014.05.021 · Cited by 1,480
International Journal of Geriatric Psychiatry
Robinson, L., Hutchings, D., Dickinson, H. O., Corner, L., Beyer, F., Finch, T. L., Hughes, J., Vanoli, A., Ballard, C. G., & Bond, J. (2006) · International Journal of Geriatric Psychiatry · doi:10.1002/(issn)1099-1166 · Cited by 1,301
Gilbody, S., Richards, D., Brealey, S., & Hewitt, C. (2007) · Journal of General Internal Medicine · doi:10.1007/s11606-007-0333-y · Cited by 1,290
Sequenced treatment alternatives to relieve depression (STAR*D): Rationale and design
Rush, A. J., Fava, M., Wisniewski, S. R., Lavori, P. W., Trivedi, M. H., Sackeim, H. A., Thase, M. E., Nierenberg, A. A., Quitkin, F. M., Kashner, T. M., et al. (2004) · Controlled Clinical Trials · doi:10.1016/s0197-2456(03)00112-0 · Cited by 1,076
Whooley, M. A. (2008) · JAMA · doi:10.1001/jama.2008.711 · Cited by 887
Kocalevent, R.-D., Hinz, A., & Brähler, E. (2013) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2013.04.006 · Cited by 748
Diez-Quevedo, C., Rangil, T., Sanchez-Planell, L., Kroenke, K., & Spitzer, R. L. (2001) · Psychosomatic Medicine · doi:10.1097/00006842-200107000-00021 · Cited by 649
Diagnostic accuracy of the mood module of the patient health questionnaire: a systematic review
Wittkampf, K. A., Naeije, L., Schene, A. H., Huyser, J., & van Weert, H. C. (2007) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2007.06.004 · Cited by 493
Research works printed but not linked: 1
- Chen Q, Wang W, Liu Z. Calculation and evaluation of the ICC. Chin J Health Stat. 2008;25:314–5.
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Items 301–342 of 342
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Hong, S., Ahn, J., Lee, J., & Chung, S. (2026) · Sleep and Biological Rhythms · doi:10.1007/s41105-026-00634-y
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Reddy, N. P., & Sureshkumar, K. (2026) · Journal of Education and Health Promotion · doi:10.4103/jehp.jehp_673_25
Shila, F. I., Banik, J. R., Ahmed, M. F., Orpon, M. K., Nayeem, K. J., Nazrul, S., Arvin, A., & Sarker, P. R. (2026) · Academic Bulletin of Mental Health · doi:10.25259/abmh_49_2025
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Shoaib, D. M., Sharma, H., Jindal, D., Gupta, P., Jarhyan, P., Mohan, S., Tandon, N., & Patel, S. A. (2026) · BMC Public Health · doi:10.1186/s12889-026-27107-8
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Gu, T., Zhang, Q., Wang, P., Zhang, M., & Li, M. (2026) · BMC Medical Education · doi:10.1186/s12909-026-09174-y
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Awal, I., Kang, J., Biddle, M., Thapa, A., Cha, G., & Moser, D. K. (2026) · Heart & Lung · doi:10.1016/j.hrtlng.2026.102843
Mistry, N., Cowan, L., Samawi, H. M., Qotineh, A., Gomez, O., & Sullivan, K. L. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.122022
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Jin, Y., Wang, J., Li, H., Fan, M., Zhang, S., Lin, B., Mi, Y., Gong, C., Gu, P., Xu, K., et al. (2026) · Frontiers in Pharmacology · doi:10.3389/fphar.2026.1805554
Zhu, J., Feng, Z., Chen, Z., Guo, L., Fan, C., Yang, C., Zhao, Z., Sang, X., Xu, L., & Yin, W. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1854817
Makhele, L., Mphasha, M. H., Sukati, V. N., Govender, S., Wasonga, J., Ouma, A. A., Bangalee, V., Oosthuizen, F., Grootboom, W., Padayachee, N., et al. (2026) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2026.103190
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Rafat, N., Rad, H. A., Bakouei, S., Nikbakht, H.-A., & Bakouei, F. (2026) · Payesh (Health Monitor) Journal · doi:10.66224/payesh.25.3.373
Sonnauer, F., Fries, F. L., Druzenko, M., Kastner, U. W., Mühle, C., & Kornhuber, J. (2026) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2026.1827062
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Karagodsky, G., Furuno, J. P., Herink, M. C., Viehmann, M. M., Duong, P. Y., & Stanislaw, J. J. (2026) · Journal of Primary Care & Community Health · doi:10.1177/21501319261481241
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Huber, F. A., Seng, E. K., Willroth, E. C., Kell, P. A., Darken, R. S., Nahman‐Averbuch, H., Shapiro, R. E., Vasquez, N. N., Morris, M. C., & Goodin, B. R. (2026) · Headache The Journal of Head and Face Pain · doi:10.1111/head.70183
Zynda, A. J., Kontos, A. P., Marra, R., Gallo, N., Hirsh, M., Darwin, J., Maczuzak, J., Pacella-LaBarbara, M., Barton, D. J., & Wagner, A. K. (2026) · Brain Injury · doi:10.1080/02699052.2026.2748371
Wang, Y., Liu, X., Yuan, R., Guan, Z., & Chang, C. (2026) · International Journal of Emergency Services · doi:10.1108/ijes-09-2025-0047
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Metadata
- Authors
- Sun, Y., Fu, Z., Bo, Q., Mao, Z., Ma, X., & Wang, C.
- Affiliations
- Capital Medical University (CN)
- Corresponding author
- Bo, Qijing
- Venue
- BMC Psychiatry
- Published
- 2020-09-29
- Volume
- 20
- Issue
- 1
- Pages
- 474-474
- ISSN
- 1471-244X (ISSN-L)
- PMC
- PMC7525967
- OpenAlex
- W3089946977
- Cited by
- 343
- References
- 33
- Citations by year
- 2026: 54 · 2025: 90 · 2024: 79 · 2023: 62 · 2022: 47 · 2021: 11
- FWCI
- 29.00
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- BMC Psychiatry (publishedVersion, cc-by)
- Research Square (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Beijing Municipal Administration of Hospitals Clinical Medicine Development of Special Funding Support (ZYLX201807)
- Beijing Hospitals Authority Youth Programme (QML20171901)
- Natural Science Foundation of Beijing Municipality (7192081)
- National Natural Science Foundation of China (81901355)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Health Sciences › Medicine › Pharmacology (medical) › Treatment of Major Depression
- Keywords
- PHQ-9, major depressive disorder, depression severity assessment, depression screening, test-retest reliability, construct validity, criterion validity, Hamilton Depression Rating Scale, psychiatric inpatients, Chinese patients
- MeSH terms
- Patient Health Questionnaire, China, Depression, Major Depressive Disorder, Hospitals, Psychiatric, Humans, Psychiatric Status Rating Scales, Psychometrics, Surveys and Questionnaires, Reproducibility of Results
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