Browsing by Subject "Patient health questionnaire"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Accuracy of Alternative PHQ-9 Scoring Algorithms to Screen for Depression in People Living With HIV in Sub-Saharan Africa
    (Wolters Kluwer, 2025) Bernard, Charlotte; Font, Hélène; Zotova, Natalia; Wools-Kaloustian, Kara; Goodrich, Suzanne; Kamaru Kwobah, Edith; Rogers Awoh, Ajeh; Nko'o Mbongo'o, Guy Calvin; Nsonde, Dominique Mahambu; Gandou, Paul; Minga, Albert; Tine, Judicaël Malick; Ndiaye, Ibrahima; Dabis, François; Seydi, Moussa; de Rekeneire, Nathalie; Yotebieng, Marcel; Jaquet, Antoine; IeDEA Cohort Collaboration; Medicine, School of Medicine
    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.
  • Thumbnail Image
    Item
    Disentangling trait versus state characteristics of the Pain Catastrophizing Scale and the PHQ-8 Depression Scale
    (Wiley, 2020-09) Dumenci, Levent; Kroenke, Kurt; Keefe, Francis J.; Ang, Dennis C.; Slover, James; Perera, Robert A.; Riddle, Daniel L.; Medicine, School of Medicine
    Background: Research on the role of trait versus state characteristics of a variety of measures among persons experiencing pain has been a focus for the past few decades. Studying the trait versus state nature of the Pain Catastrophizing Scale (PCS) and the Patient Health Questionnaire (PHQ-8) depression scale would be highly informative given both are commonly measured in pain populations and neither scale has been studied for trait/state contributions. Methods: The PHQ-8 and PCS were obtained on persons undergoing knee arthroplasty at baseline, 2-, 6- and 12-month post-surgery (N = 402). The multi-trait generalization of the latent trait-state model was used to partition trait and state variability in PCS and PHQ-8 item responses simultaneously. A set of variables were used to predict trait catastrophizing and trait depression. Results: For total scores, the latent traits and latent states explain 63.2% (trait = 43.2%; state = 20.0%) and 50.2% (trait = 29.4%; state = 20.8%) of the variability in PCS and PHQ-8, respectively. Patients with a high number of bodily pain sites, high levels of anxiety, young patients and African-American patients had high levels of trait catastrophizing and trait depression. The PCS and the PHQ-8 consist of both enduring trait and dynamic state characteristics, with trait characteristics dominating for both measures. Conclusion: Clinicians and researchers using these scales should not assume the obtained measurements solely reflect either trait- or state-based characteristics. Significance: Clinicians and researchers using the PCS or PHQ-8 scales are measuring both state and trait characteristics and not just trait- or state-based characteristics.