scholarly journals Treatment of depression and PTSD in primary care clinics serving uninsured low-income mostly Latina/o immigrants: A naturalistic prospective evaluation.

2019 ◽  
Vol 25 (4) ◽  
pp. 579-589 ◽  
Author(s):  
Stacey Kaltman ◽  
Maria Rosa Watson ◽  
Marcela Campoli ◽  
Adriana Serrano ◽  
Nicholas Talisman ◽  
...  
Keyword(s):  
Primary Care ◽  
Low Income ◽  
Prospective Evaluation ◽  
Primary Care Clinics ◽  
Treatment Of Depression

scholarly journals Maintaining public health insurance benefits: How primary care clinics help keep low-income patients insured

2017 ◽  
Vol 4 (3) ◽  
pp. 61-69 ◽  
Author(s):  
Rose L Harding ◽  
Jennifer D Hall ◽  
Jennifer DeVoe ◽  
Heather Angier ◽  
Rachel Gold ◽  
...  
Keyword(s):  
Public Health ◽  
Primary Care ◽  
Health Insurance ◽  
Low Income ◽  
Public Health Insurance ◽  
Insurance Benefits ◽  
Primary Care Clinics

Factor Structure of the Center for Epidemiologic Studies Depression Scale in Low- Income Women Attending Primary Care Clinics

2004 ◽  
Vol 20 (2) ◽  
pp. 106-115 ◽  
Author(s):  
Janet L. Thomas ◽  
Phillip J. Brantley
Keyword(s):  
Primary Care ◽  
Factor Structure ◽  
Low Income ◽  
Factor Model ◽  
Population Sample ◽  
Depression Scale ◽  
Epidemiologic Studies ◽  
Primary Care Clinics ◽  
Primary Care Settings ◽  
Low Income Women

Given the high rates of major depressive disorder in primary care settings, routine use of screening measures to assist in identifying depressed individuals is warranted. The Center for Epidemiologic Studies Depression Scale (CES-D) ( Radloff, 1977 ) is a self-rated measure of distress commonly used to screen for depression in primary care settings. The present study was undertaken to confirm the original four-factor model in a sample of low-income women attending primary care clinics (N = 179). Although the original four-factor structure has been replicated in a variety of population groups, internal validity of the measure has not been previously examined in this population sample. A series of confirmatory factor analytic procedures failed to replicate the original four-factor structure or a second-order model. An exploratory analysis, using principal components and a VARIMAX rotation yielded three factors: Depressed Affect/Somatic Symptoms, Positive Affect, and Interpersonal Difficulties. Results of this study add support to previous research documenting an increased somatic presentation of depression in low-income samples. Implications for the use of the CES-D as a screening tool to identify depression in similar primary care samples are discussed.

scholarly journals Treatment of depression in a low-income primary care setting with colocated mental health care.

2009 ◽  
Vol 27 (2) ◽  
pp. 161-171 ◽  
Author(s):  
Lisa A. Uebelacker ◽  
Marcia Smith ◽  
Angelique W. Lewis ◽  
Ryan Sasaki ◽  
Ivan W. Miller
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
Health Care ◽  
Mental Health Care ◽  
Low Income ◽  
Care Setting ◽  
Primary Care Setting ◽  
Treatment Of Depression

scholarly journals Gaps in Well-Child Care Attendance Among Primary Care Clinics Serving Low-Income Families

PEDIATRICS ◽  
2018 ◽  
Vol 142 (5) ◽  
pp. e20174019 ◽  
Author(s):  
Elizabeth R. Wolf ◽  
Camille J. Hochheimer ◽  
Roy T. Sabo ◽  
Jennifer DeVoe ◽  
Richard Wasserman ◽  
...  
Keyword(s):  
Primary Care ◽  
Child Care ◽  
Low Income ◽  
Primary Care Clinics ◽  
Well Child Care ◽  
Low Income Families

Examination of the Temporal Relationship between Smoking and Major Depressive Disorder among Low-Income Women in Public Primary Care Clinics

2002 ◽  
Vol 16 (6) ◽  
pp. 323-330 ◽  
Author(s):  
Isabel C. Scarinci ◽  
Janet Thomas ◽  
Phillip J. Brantley ◽  
Glenn N. Jones
Keyword(s):  
Primary Care ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Low Income ◽  
Temporal Relationship ◽  
Smoking Initiation ◽  
First Episode ◽  
Major Depressive ◽  
Primary Care Clinics ◽  
Low Income Women

Purpose. To determine the prevalence of major depressive disorder (MDD) by smoking status, and the temporal relationship between smoking and MDD, and explore other smoking-related variables that may be associated with MDD. Design. Cross-sectional study. Setting. Public primary care clinics. Subjects. Researchers studied 338 women (76% African-Americans) who were randomly selected while attending appointments in two public primary care clinics. Measures. Data pertaining to smoking-related variables and MDD diagnosis were obtained using the Diagnostic Interview Schedule for the Diagnostic Statistical Manual of Mental Disorders IV (DSM-IV). Results. The prevalence of a lifetime history of MDD was significantly higher for current smokers (56.6%) than among former smokers (37.5%) or never-smokers (30.3%; p < .001). Most ever-smokers (81.3%) began smoking and were nicotine-dependent (63.6%) prior to their first episode of MDD. Using logistic regression, after controlling for demographic and smoking-related variables, age of smoking onset was the strongest variable associated with MDD among ever-smokers. Specifically, the odds of having an MDD decreased by 8.2% for each year delay in smoking initiation. Conclusion. These results suggest that smoking initiation precedes MDD and that smoking is associated with a high prevalence of MDD among low-income women attending primary care clinics. Further, the younger women start smoking the more likely they are to have MDD.

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