Skip to main content

Main menu

  • HOME
  • ARTICLES
    • Current Issue
    • Ahead of Print
    • Archives
    • Abstracts In Press
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • Other Publications
    • abfm

User menu

Search

  • Advanced search
American Board of Family Medicine
  • Other Publications
    • abfm
American Board of Family Medicine

American Board of Family Medicine

Advanced Search

  • HOME
  • ARTICLES
    • Current Issue
    • Ahead of Print
    • Archives
    • Abstracts In Press
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • JABFM on Bluesky
  • JABFM On Facebook
  • JABFM On Twitter
  • JABFM On YouTube
Research ArticleOriginal Research

Missed Opportunities for Depression Screening and Treatment in the United States

Elisabeth Kato, Amanda E. Borsky, Samuel H. Zuvekas, Anita Soni and Quyen Ngo-Metzger
The Journal of the American Board of Family Medicine May 2018, 31 (3) 389-397; DOI: https://doi.org/10.3122/jabfm.2018.03.170406
Elisabeth Kato
From Agency for Healthcare Research and Quality, Rockville, MD.
MD, MRP
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Amanda E. Borsky
From Agency for Healthcare Research and Quality, Rockville, MD.
DrPH, MPP
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Samuel H. Zuvekas
From Agency for Healthcare Research and Quality, Rockville, MD.
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Anita Soni
From Agency for Healthcare Research and Quality, Rockville, MD.
PhD, MBA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Quyen Ngo-Metzger
From Agency for Healthcare Research and Quality, Rockville, MD.
MD, MPH
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • References
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Tables

    • View popup
    Table 1.

    Percent of Civilian Noninstitutionalized Population Assessed for Depression by Selected Sociodemographic Characteristics, 2014/2015 (n = 1852)

    Unweighted (N)Weighted proportion (%)Weighted percent (95% confidence intervals)P value
    Overall1852100.048.6 (45.5–51.6)
    Sex<.001
        Male84147.442.5 (38.5–46.5)
        Female101152.654.0 (50.1–58.0)
    Age (years)<.001
        35 to 4931235.040.2 (34.3–46.0)
        50 to 6460436.752.9 (48.5–57.3)
        65 to 7463116.157.5 (52.7–62.4)
        75+30512.147.9 (41.7–54.0)
    Race/Ethnicity<.001
        Hispanic19912.431.3 (23.6–39.0)
        Non-Hispanic White/Other136872.654.4 (51.1–57.7)
        Non-Hispanic Black19910.338.1 (28.7–47.4)
        Non-Hispanic Asian864.727.7 (16.4–38.9)
    Education.021
        Less than high school diploma25013.042.2 (34.7–49.8)
        High school diploma51027.344.2 (39.0–49.4)
        Some college53529.249.2 (44.5–53.9)
        Bachelor's degree30717.455.8 (49.4–62.2)
        Master's degree+25013.152.8 (45.3–60.3)
    Poverty status.182
        <100% of FPL (poor)22413.055.3 (46.7–63.8)
        100% to 124% of FPL (near poor)934.540.1 (27.6–52.6)
        125% to 199% of FPL (low income)25714.142.4 (34.8–50.1)
        200% to 399% of FPL (middle income)52129.148.2 (43.0–53.4)
        >400% of FPL (high income)75739.349.8 (45.5–54.1)
    Region.012
        Northeast31018.254.6 (47.8–61.4)
        Midwest42121.651.8 (45.2–58.4)
        South70238.047.0 (41.8–52.2)
        West41922.243.2 (36.9–49.5)
    Metropolitan statistical area status.840
        Non-metropolitan statistical area32115.647.7 (39.1–56.4)
        Metropolitan statistical area153184.448.7 (45.5–51.9)
    Perceived health<.001
        Excellent38020.136.0 (30.5–41.6)
        Very good60033.646.2 (41.2–51.2)
        Good57830.950.7 (45.4–56.0)
        Fair/Poor29415.465.8 (59.4–72.1)
    Insurance coverage†<.001
        Any Private118767.749.8 (46.3–53.4)
        Public only54622.056.8 (51.3–62.2)
        Uninsured11910.222.5 (14.1–30.8)
    • Source: Medical Expenditure Panel Survey, 2014 to 2015.9

    • ↵† The definitions for the insurance variables are the following: any private (person had any private insurance coverage, including TRICARE/CHAMPVA, any time during 2014), public only (person had only public insurance coverage during 2014), and uninsured (person was uninsured during all of 2014).

    • FPL, federal poverty level.

    • View popup
    Table 2.

    Civilian Non-Institutionalized Population Depression Assessment Rates by Depressive Symptom Status, 2014/2015 (n = 1852)

    PHQ2 ≥3 (n = 132)*PHQ2 <3 (n = 1720)*Difference
    Weighted percent (95% confidence intervals)Weighted percent (95% confidence intervals)P value
    % of population7.4 (6.1%–8.9%)92.6 (91.1–93.9)
    % screened66.4 (56.6–76.2%)40.4 (37.5–43.2)<.001
    % any mental health treatment65.5 (55.8–75.2%)19.4 (17.0–21.8)<.001
    % screened and/or treated76.5 (67.9–85.1%)46.3 (43.2–49.5)<.001
    • Source: Medical Expenditure Panel Survey, 2014 to 2015.9

    • ↵* The PHQ2 is the two-item Patient Health Questionnaire (PHQ-2), which is a validated measure of depressive symptoms and accepted clinical screening tool for depression.7,13,14

    • View popup
    Table 3.

    Civilian Noninstitutionalized Population Multivariable Logistic Regression of Health and Sociodemographic Characteristics Associated with Depression Assessment in the United States, 2014/2015 (n = 1852)

    Odds ratio (95% confidence interval)P value
    Sex
        Male0.58 (0.46–0.72)<.001
        Female (reference)
    Age (years)
        35 to 490.81 (0.60–1.09).156
        50 to 64 (reference)
        65 to 740.83 (0.62–1.10).200
        75+0.47 (0.32–0.69)<.001
    Race/Ethnicity
        Hispanic0.47 (0.29–0.75).002
        Non-Hispanic White/other (reference)
        Non-Hispanic Black0.42 (0.27–0.67)<.001
        Non-Hispanic Asian0.35 (0.19–0.67).002
    Education
        Less than high school diploma0.59 (0.36–0.95).032
        High school diploma0.52 (0.35–0.75).001
        Some college0.72 (0.49–1.07).101
        Bachelor's degree1.13 (0.76–1.68).539
        Master's degree+ (reference)
    Poverty status
        <100% of FPL (poor)1.42 (0.93–2.19).108
        100% to 124% of FPL (near poor)0.79 (0.42–1.51).475
        125% to 199% of FPL (low income)0.92 (0.58–1.44).703
        200% to 399% of FPL (middle income)1.11 (0.84–1.47).450
        >400% of FPL (high income) (reference)
    Region
        Northeast (reference)
        Midwest0.90 (0.61–1.34).609
        South0.87 (0.62–1.23).432
        West0.76 (0.51–1.12).165
    MSA Status
        Non-metropolitan statistical area0.82 (0.56–1.21).316
        Metropolitan statistical area (reference)
    Perceived health
        Excellent0.37 (0.23–0.58)<.001
        Very good0.51 (0.33–0.78).002
        Good0.62 (0.43–0.91).015
        Fair/poor (reference)
    Insurance coverage
        Any private (reference)
        Public only1.20 (0.86–1.68).276
        Uninsured0.30 (0.18–0.51)<.001
    PHQ2 ≥3
        No0.39 (0.24–0.63)<.001
        Yes (reference)
    No. of chronic conditions1.27 (1.17–1.38)<.001
    Constant8.25 (4.23–16.07)<.001
    • Source: Medical Expenditure Panel Survey, 2014 to 2015.9

    • FPL, federal poverty level; MSA, Metropolitan Statistical Area; PHQ2, Patient Health Questionnaire.

PreviousNext
Back to top

In this issue

The Journal of the American Board of Family     Medicine: 31 (3)
The Journal of the American Board of Family Medicine
Vol. 31, Issue 3
May-June 2018
  • Table of Contents
  • Table of Contents (PDF)
  • Cover (PDF)
  • Index by author
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on American Board of Family Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Missed Opportunities for Depression Screening and Treatment in the United States
(Your Name) has sent you a message from American Board of Family Medicine
(Your Name) thought you would like to see the American Board of Family Medicine web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
6 + 0 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Missed Opportunities for Depression Screening and Treatment in the United States
Elisabeth Kato, Amanda E. Borsky, Samuel H. Zuvekas, Anita Soni, Quyen Ngo-Metzger
The Journal of the American Board of Family Medicine May 2018, 31 (3) 389-397; DOI: 10.3122/jabfm.2018.03.170406

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Missed Opportunities for Depression Screening and Treatment in the United States
Elisabeth Kato, Amanda E. Borsky, Samuel H. Zuvekas, Anita Soni, Quyen Ngo-Metzger
The Journal of the American Board of Family Medicine May 2018, 31 (3) 389-397; DOI: 10.3122/jabfm.2018.03.170406
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Methods
    • Results
    • Discussion
    • Conclusions
    • Acknowledgments
    • Notes
    • References
  • Figures & Data
  • References
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • Patient and provider factors associated with follow-up for positive depression screens in adults: a retrospective review of University of Utah primary and specialty care clinics
  • Content Usage and the Most Frequently Read Articles of 2018
  • Healthcare Options for People Experiencing Depression (HOPE*D): the development and pilot testing of an encounter-based decision aid for use in primary care
  • Advancing the Science of Implementation in Primary Health Care
  • Google Scholar

More in this TOC Section

  • Integrating Adverse Childhood Experiences and Social Risks Screening in Adult Primary Care
  • A Pilot Comparison of Clinical Data Collection Methods Using Paper, Electronic Health Record Prompt, and a Smartphone Application
  • Associations Between Modifiable Preconception Care Indicators and Pregnancy Outcomes
Show more Original Research

Similar Articles

Keywords

  • Depression
  • Health Personnel
  • Health Services Research
  • Logistic Models
  • Medically Uninsured
  • Mental Health
  • Prevalence
  • Surveys and Questionnaires

Navigate

  • Home
  • Current Issue
  • Past Issues

Authors & Reviewers

  • Info For Authors
  • Info For Reviewers
  • Submit A Manuscript/Review

Other Services

  • Get Email Alerts
  • Classifieds
  • Reprints and Permissions

Other Resources

  • Forms
  • Contact Us
  • ABFM News

© 2025 American Board of Family Medicine

Powered by HighWire