Evidence map›Paper›PMID 38811001›Full record

ArticlePsychiatry investigation2024

Psychometric Properties of the Patient Health Questionnaire-9 in Patients With Breast Cancer.

Heeseung Park, Kyungwon Kim, Eunsoo Moon, Hyunju Lim, Hwagyu Suh, Taewoo Kang

Abstract read
In one paragraph

Article in Psychiatry investigation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

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3citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Heeseung ParkBreast Cancer Clinic of Busan Cancer Center, Pusan National University Hospital, Busan, Republic of Korea.
Kyungwon KimBiomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea.
Eunsoo MoonBiomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea.
Hyunju LimBiomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea.
Hwagyu SuhBiomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea.
Taewoo KangBreast Cancer Clinic of Busan Cancer Center, Pusan National University Hospital, Busan, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDue to the high frequency of depressive symptoms associated with breast cancer, it is crucial to screen for depression in breast cancer patients. While numerous screening tools are available for depression in this population, there is a need for a brief and convenient tool to enhance clinical use. This study aims to investigate the psychometric properties of the Patient Health Questionnaire-9 (PHQ-9) in patients with breast cancer.

methodsPatients with breast cancer (n=327) who visited the Breast Cancer Clinic were included in this study. The reliability of the PHQ-9 was analyzed by Cronbach's α, and the construct validity of the PHQ-9 was explored by factor analysis. The concurrent validity of the PHQ-9 was evaluated by Pearson correlation analysis with the Hospital Anxiety and Depression Scale (HADS) and Perceived Stress Scale (PSS).

resultsThe values of Cronbach's α ranged from 0.800 to 0.879 was acceptable. The exploratory factor analysis revealed that the one-factor model and two-factor model of the PHQ-9 explained 46% and 57% of the variance, respectively. The PHQ-9 were significantly correlated with those of HADS (r=0.702, p<0.001) and PSS (r=0.466, p<0.001). Consequently, the PHQ-9 demonstrated acceptable reliability and validity in breast cancer patients.

conclusionThe findings of this study indicate that the PHQ-9 exhibits acceptable reliability and validity in patients with breast cancer. The convenience of this brief self-report questionnaire suggests its potential as a reliable and valid tool for assessing depression in breast cancer clinics.

Indexed as

Breast cancerDepressionReliabilityScreeningValidity

Identifiers

PMID38811001
PMCPMC11136583

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.