Distressed women's clinic patients: preferences for mental health treatments and perceived obstacles

Gen Hosp Psychiatry. 1999 Sep-Oct;21(5):340-7. doi: 10.1016/s0163-8343(99)00038-9.

Abstract

Women seen in public gynecology settings are at very high risk of developing psychiatric disorders. Because low-income and ethnic minority women seen in such settings underutilize mental health services, it is important to better understand treatment preferences and obstacles among this high-risk patient population. Public women's clinic patients (N = 105) who reported psychological or emotional distress were asked about their interest in medication, psychotherapy, and psychoeducational classes, as well as perceived obstacles to using these services. The vast majority were interested in receiving some form of mental health treatment, with the most interest shown for individual therapy and general psychoeducational classes about health and stress. Less interest was expressed in group therapy and medication. Women anticipated more instrumental barriers to using services, such as lack of money, transportation, and childcare, than stigma-related barriers, such as fear of embarrassment or rejection. However, Latinas, women with less education, and those with a current mood or anxiety disorder were more likely to anticipate stigma-related barriers to treatment than other women. Implications of these findings for referral and treatment of mental health problems among public women's clinic patients are discussed.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Ethnicity / psychology
  • Female
  • Genital Diseases, Female / complications
  • Genital Diseases, Female / psychology
  • Health Knowledge, Attitudes, Practice
  • Hospitals, Municipal / statistics & numerical data
  • Humans
  • Interviews as Topic
  • Mental Disorders / complications
  • Mental Disorders / psychology*
  • Mental Disorders / therapy
  • Mental Health Services / statistics & numerical data*
  • Middle Aged
  • Outpatient Clinics, Hospital / statistics & numerical data
  • Regression Analysis
  • San Francisco / epidemiology
  • Social Perception*
  • Women's Health*