Understanding primary care physicians' propensity to assess elderly patients for depression using interaction and...

Area of Science:

• Geriatric Medicine
• Primary Care
• Mental Health Services Research

Background:

• Depression is a prevalent condition in elderly populations.
• Accurate depression assessment is crucial for effective treatment and improved patient outcomes.
• Understanding physician behavior in assessing depression in primary care is essential for healthcare quality improvement.

Purpose of the Study:

• To investigate primary care physicians' likelihood of assessing depression in elderly patients.
• To analyze factors influencing depression assessment using observational data from patient-physician interactions.
• To explore the impact of patient characteristics and visit dynamics on depression screening.

Main Methods:

• Observational study involving surveys from 389 patients and 33 physicians.
• Analysis of 389 videotaped clinical encounters using the Assessment of Doctor-Elderly Patient Transactions (ADEPT) system.
• Random-effects logit modeling to assess determinants of depression assessment, including patient health, competing demands, and demographic concordance.

Main Results:

• Physicians assessed depression in only 14% of observed visits; formal tools were rarely used.
• White patients were significantly more likely to be assessed for depression than nonwhite patients (OR, 6.9).
• Depression assessment decreased with better patient emotional functioning but increased with visit topic complexity; racial and gender concordance unexpectedly reduced assessment likelihood.

Conclusions:

• Primary care physicians infrequently screen elderly patients for depression.
• Strategies like reducing visit topics or matching patients and physicians by race/gender may hinder depression detection.
• Video and survey data provide unique insights into the actual clinical process of depression assessment, differing from administrative data findings.