For life-threatening illnesses such as cancer that require a long-term treatment regimen, communication is particularly important between doctors and patients. While it is assumed that the more serious the illness, the greater the need to relieve patients' anxiety, physicians' communication styles can directly influence patients' anxiety levels. The purpose of this study was to examine the relationship between outpatients' perceptions of physicians' communication styles and the patients' anxiety levels in oncology settings. Patient anxiety level was measured using the State Trait Anxiety Inventory before and after the consultation. The Perceived Physician's Communication Style Scale was developed in this study. Analysis of responses to the scale resulted in four factors--"acceptive", "patient-centered", "attentive", and "facilitative"--of the physician's communication style and explained 63.7% of the variance. The inter-correlation for overall scale items was 0.95. Patient satisfaction with the medical encounter was also measured to validate the physician's communication style scale. Moderate correlation between the physician's communication style and satisfaction was observed and confirms the relationship between a favorable communication style and a patient's satisfaction. After the consultation, the patients' anxiety levels dropped 5.0 +/- 1.5 points (p<0.001), and the physician's communication style was shown in many cases to be linked to patient anxiety levels after the consultation. The effect of the physician's communication style on patients' post-consultation anxiety levels was small among the patients with an advanced disease status. Also, the findings showed that patients' post-consultation anxiety levels remained low even among those patients with unfavorable examination results if the patients evaluated their physician's communication style as high. This study suggested that the physician's communication style is important not only for moderating patients' anxiety, but could also be helpful for moderating physicians' own stress levels when communicating bad news to patients.
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http://dx.doi.org/10.1016/s0277-9536(00)00413-5 | DOI Listing |
J Affect Disord
January 2025
Department of Psychiatry and Psychotherapy, University of Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), University of Marburg, Germany.
Background: Major depressive disorder (MDD) comes along with an increased risk of recurrence and poor course of illness. Machine learning has recently shown promise in the prediction of mental illness, yet models aiming to predict MDD course are still rare and do not quantify the predictive value of established MDD recurrence risk factors.
Methods: We analyzed N = 571 MDD patients from the Marburg-Münster Affective Disorder Cohort Study (MACS).
J Affect Disord
January 2025
Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA; Department of Medicine, Duke University, Durham, NC, USA; Duke Institute of Brain Sciences, Duke University, Durham, NC, USA. Electronic address:
Metabolomics provides powerful tools that can inform about heterogeneity in disease and response to treatments. In this exploratory study, we employed an electrochemistry-based targeted metabolomics platform to assess the metabolic effects of three randomly-assigned treatments: escitalopram, duloxetine, and Cognitive-Behavioral Therapy (CBT) in 163 treatment-naïve outpatients with major depressive disorder. Serum samples from baseline and 12 weeks post-treatment were analyzed using targeted liquid chromatography-electrochemistry for metabolites related to tryptophan, tyrosine metabolism and related pathways.
View Article and Find Full Text PDFJ Affect Disord
January 2025
Center for Anti-racism, Social Justice & Public Health, New York University School of Global Public Health, New York, NY, USA; Department of Biostatistics, New York University School of Global Public Health, New York, NY, USA. Electronic address:
Background: A knowledge gap exists in understanding the role of social isolation as a determinant of mental health among hybrid employees during the COVID-19 era.
Methods: Using 2024 Household Pulse Survey data, we investigated the relationship between social isolation and mental health among US hybrid employees. We assessed depression symptoms using the Patient Health Questionnaire-2 and anxiety symptoms using the Generalized Anxiety Disorder-2.
Spine J
January 2025
Department of Orthopaedic Surgery, University of California, San Francisco.
Background Context: There are a number of risk factors- from biological, psychological, and social domains- for non-specific chronic low back pain (cLBP). Many cLBP treatments target risk factors on the assumption that the targeted factor is not just associated with cLBP but is also a cause (i.e, a causal risk factor).
View Article and Find Full Text PDFLancet Oncol
January 2025
Health Systems and Population Health, University of Washington, Seattle, WA, USA. Electronic address:
Background: PATHFINDER was a prospective cohort study of multicancer early detection (MCED) testing in an outpatient ambulatory population. The aim of this study is to report the patient-reported outcomes (PROs) collected as secondary and exploratory measures in the PATHFINDER study.
Methods: PATHFINDER is a prospective, multicentre, cohort study that enrolled existing healthy ambulatory outpatients at seven health networks in the USA, including hospitals, academic medical centres, and integrated health systems.
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