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Depression is a prevalent mental illness marked by persistent sadness and lack of interest in previously enjoyable activities. It can take several forms, including major depression, persistent depressive disorder, and bipolar I and II disorders. Symptoms range from emotional changes like chronic worry to physical changes like sleep disturbances and suicidal thoughts. From a neurobiological perspective, depression is believed to be triggered by abnormalities in the brain's prefrontal cortex,...
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Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression
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Improving Depression Screening in Primary Care.

Marlene Lindsay1, Veronica B Decker2

  • 1Adult Primary Care Nurse Practitioner, Living Florida Healthcare, LLC.

Journal of Doctoral Nursing Practice
|May 3, 2022
PubMed
Summary
This summary is machine-generated.

Implementing a HealthWatcher reminder and the PHQ-9 instrument significantly improved depression screening rates in primary care. This evidence-based practice enhanced diagnosis and treatment for adult patients, addressing a critical healthcare gap.

Keywords:
Patient Health Questionnaire (PHQ-9)electronic health record (EHR)integrated alertscreening for depression

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Area of Science:

  • Primary Care Medicine
  • Mental Health Services
  • Evidence-Based Practice

Background:

  • Depression is a significant public health concern in the U.S., often underdiagnosed and undertreated.
  • It negatively affects chronic illness management, healthcare utilization, and can lead to mortality.
  • Primary care settings offer a crucial opportunity for early depression screening and intervention.

Purpose of the Study:

  • To enhance the diagnosis and treatment rates of depression within an adult primary care setting.
  • To implement an evidence-based practice project focused on improving depression care.

Main Methods:

  • Integrated a HealthWatcher reminder system for depression screening into the office workflow.
  • Utilized the Patient Health Questionnaire-9 (PHQ-9) instrument for standardized screening.
  • Employed a treatment algorithm to guide clinical management post-screening.
  • Compared pre-intervention and post-intervention patient chart data to assess changes in screening and treatment rates.

Main Results:

  • Post-intervention depression screening rates dramatically increased to 90% compared to 23.3% pre-intervention.
  • This improvement was statistically significant (χ² = 54.3, df = 1, P < .000).
  • The intervention effectively boosted the identification of depression in the primary care population.

Conclusions:

  • Modifying office protocols with tools like the PHQ-9 and a treatment algorithm is feasible for improving depression diagnosis and treatment.
  • Primary care settings can successfully implement systematic approaches to enhance mental health screening and care.
  • This strategy offers a scalable model for improving depression management in adult primary care.