With the rise of telehealth in recent years, many patients are able to receive diagnoses and treatments without an office visit to a doctor or therapist. A new study finds that when assessing depression symptoms, electronic forms and phone interviews are as reliable as when done in-person.
“This study shows that patients and clinicians can choose the mode of administration for a depression assessment tool that works best for them, and they don’t have to worry that choice is influencing the results,” says lead author Daphna Harel, associate professor of applied statistics at New York University Steinhardt School of Culture, Education, and Human Development.
Using databases from the DEPRESsion Screening Data Project , researchers from New York University and McGill University evaluated data for over 60,000 people who completed one of three depression assessment tools—the Patient Health Questionnaire, the Edinburgh Postnatal Depression Scale, or the Hospital Anxiety and Depression Scale. They compared scores for these tools by the technology used (pen-and-paper, electronic form, or phone); setting (medical or research versus private settings such as home); and whether the questions were read aloud to clients in an interview or the assessment was self-administered.
Their findings, published in the Journal of Affective Disorders , indicated that any differences observed in scores used to assess depression across different modalities were negligible, if present at all.
“Everyone deserves to get the best care possible. Being able to assess depression symptoms in ways that fit each person allows for more individualized health care,” Harel.
The research was supported in part by the Canadian Institutes of Health Research and the New Frontiers in Research Fund.
Journal of Affective Disorders
Data/statistical analysis
People
Comparison of Patient Health Questionnaire-9, Edinburgh Postnatal Depression Scale and Hospital Anxiety and Depression – Depression subscale scores by administration mode: An individual participant data differential item functioning meta-analysis
21-Jun-2024
A full list of disclosures for the study authors, including the DEPRESsion Screening Data (DEPRESSD) Collaboration, can be found in the manuscript.