Background: Screening for depression remains a priority for people living with HIV (PLWH) accessing care. The 9-item Patient Health Questionnaire (PHQ-9) is a widely used depression screening tool, but has limited accuracy when applied across various cultural contexts. We aimed to evaluate the performance of alternative PHQ-9 scoring algorithms in sub-Saharan African PLWH.

Setting: Five HIV programs in Cameroon, Côte d'Ivoire, Kenya, Senegal, and the Republic of Congo.

Methods: Adult PLWH were screened for depression during the 2018-2022 period. Diagnosis confirmation was done by psychiatrist blinded clinical evaluation (gold standard). Diagnostic performances, including sensitivity and area under the curve (AUC) of the traditional PHQ-9 scoring (positive screening - score ≥ 10), were compared to alternative scoring algorithms including (1) the presence of ≥1 mood symptom (PHQ-9 items 1 and 2) combined with ≥2 other symptoms listed in the PHQ-9, and (2) a simplified recoding of each 4-response item into 2 categories (absence/presence).

Results: A total of 735 participants were included [54% women, median age 42 years (interquartile range 34-50)]. Depression was diagnosed by a psychiatrist in 95 (13%) participants. Alternative scoring sensitivities (0.59-0.74) were higher than that of the traditional score's (0.39). Compared to traditional scoring, AUC was significantly higher for PHQ-9 alternative scoring. Across settings, alternative scoring algorithms increased sensitivity and reduced variability.

Conclusions: As a primary screening test, new scoring algorithms seemed to improve the PHQ-9 sensitivity in identifying depression and reducing heterogeneity across settings. This alternative might be considered to identify PLWH in need of referral for further diagnostic evaluations.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11708998PMC
http://dx.doi.org/10.1097/QAI.0000000000003551DOI Listing

Publication Analysis

Top Keywords

scoring algorithms
20
alternative scoring
16
phq-9 scoring
12
scoring
9
phq-9
8
alternative phq-9
8
people living
8
living hiv
8
settings alternative
8
depression
6

Similar Publications

Background: Large language models (LLMs) have been proposed as valuable tools in medical education and practice. The Chinese National Nursing Licensing Examination (CNNLE) presents unique challenges for LLMs due to its requirement for both deep domain-specific nursing knowledge and the ability to make complex clinical decisions, which differentiates it from more general medical examinations. However, their potential application in the CNNLE remains unexplored.

View Article and Find Full Text PDF

Objective: To compare fall risk scores of hearing aids embedded with inertial measurement units (IMU-HAs) and powered by artificial intelligence (AI) algorithms with scores by trained observers.

Study Design: Prospective, double-blinded, observational study of fall risk scores between trained observers and those of IMU-HAs.

Setting: Tertiary referral center.

View Article and Find Full Text PDF

Semantical text understanding holds significant importance in natural language processing (NLP). Numerous datasets, such as Quora Question Pairs (QQP), have been devised for this purpose. In our previous study, we developed a Siamese Convolutional Neural Network (S-CNN) that achieved an F1 score of 82.

View Article and Find Full Text PDF

Significance: Optimal meibography utilization and interpretation are hindered due to poor lid presentation, blurry images, or image artifacts and the challenges of applying clinical grading scales. These results, using the largest image dataset analyzed to date, demonstrate development of algorithms that provide standardized, real-time inference that addresses all of these limitations.

Purpose: This study aimed to develop and validate an algorithmic pipeline to automate and standardize meibomian gland absence assessment and interpretation.

View Article and Find Full Text PDF

Endosomes play a pivotal role in cellular biology, orchestrating processes such as endocytosis, molecular trafficking, signal transduction, and recycling of cellular materials. This study aims to construct an endosome-related gene (ERG)-derived risk signature for breast cancer prognosis. Transcriptomic and clinical data were retrieved from The Cancer Genome Atlas and the University of California Santa Cruz databases to build and validate the model.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!