ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2018
Ascertaining Depression Severity by Extracting Patient Health Questionnaire-9 (PHQ-9) Scores from Clinical Notes.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Can antiepileptic efficacy and epilepsy variables be studied from electronic health records? A review of current approaches.Seizure · 2021Pooled it
- Fidelity, Implementation Determinants, and Patient-Level Outcomes Following Initial Implementation of NAVIGATE in the Early Psychosis Intervention-Spreading Evidence-Based Treatment (EPI-SET) Study.Schizophrenia bulletin · 2026Article
- Identifying postpartum depression subtypes using natural language processing and clinical notes.BMJ mental health · 2026Article
- A method to enable clinical and translational research teams with custom real-world data from electronic health record systems.Journal of clinical and translational science · 2026Article
- Estimating depression severity in narrative clinical notes using large language models.Journal of affective disorders · 2025Article
- Validation of the patient health questionnaire (PHQ)-9 and PHQ-2 in patients with COPD in China.BMC psychiatry · 2025Article
- Extracting Cognitive Impairment Assessment Information From Unstructured Notes in Electronic Health Records Using Natural Language Processing Tools: Validation with Clinical Assessment Data.Clinical epidemiology · 2025Article
- Deep learning for identifying personal and family history of suicidal thoughts and behaviors from EHRs.NPJ digital medicine · 2024Article
- Developing an individualized treatment rule for Veterans with major depressive disorder using electronic health records.Molecular psychiatry · 2024Article
- Effect of Psychosocial Interventions for Individuals Who Underwent Arthroscopy in Femoroacetabular Impingement: A Randomized Controlled Trial.Journal of clinical medicine · 2023Article
- Medicaid Expansion and Veterans' Reliance on the VA for Depression Care.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2022Article
- Efficiently identifying individuals at high risk for treatment resistance in major depressive disorder using electronic health records.Journal of affective disorders · 2022Article
- An architecture for research computing in health to support clinical and translational investigators with electronic patient data.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Stress and Depression Are Associated With Life's Simple 7 Among African Americans With Hypertension: Findings From the Jackson Heart Study.American journal of hypertension · 2021Article
- Automated Extraction of Tumor Staging and Diagnosis Information From Surgical Pathology Reports.JCO clinical cancer informatics · 2021Article
- Association of depression symptom severity with short-term risk of an initial hospital encounter in adults with major depressive disorder.BMC psychiatry · 2021Article
- Natural Language Processing of Clinical Notes to Identify Mental Illness and Substance Use Among People Living with HIV: Retrospective Cohort Study.JMIR medical informatics · 2021Article
- Article
- Underserved populations with missing race ethnicity data differ significantly from those with structured race/ethnicity documentation.Journal of the American Medical Informatics Association : JAMIA · 2019Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The Patient Health Questionnaire-9 (PHQ-9) is a validated instrument for assessing depression severity. While some electronic health record (EHR) systems capture PHQ-9 scores in a structured format, unstructured clinical notes remain the only source in many settings, which presents data retrieval challenges for research and clinical decision support. To address this gap, we extended the open-source Leo natural language processing (NLP) platform to extract PHQ-9 scores from clinical notes and evaluated performance using EHR data for n=123,703 patients who were prescribed antidepressants. Compared to a reference standard, the NLP method exhibited high accuracy (97%), sensitivity (98%), precision (97%), and F-score (97%). Furthermore, of patients with PHQ-9 scores identified by the NLP method, 31% (n=498) had at least one PHQ-9 score clinically indicative of major depressive disorder (MDD), but lacked a structured ICD-9/10 diagnosis code for MDD. This NLP technique may facilitate accurate identification and stratification of patients with depression.
Indexed as
Identifiers
30815052PMC6371338What OpenQuestion holds
Registered trials
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.