title: Finding the underserved: directions for HIV care in the future.
abstract: The demographic, behavior, and background characteristics of 4,804 participants in 17 national demonstration projects for HIV medical and/or psychosocial support services were coded for an index of "service need" or possible under-representation in the traditional healthcare system. Fifteen items were coded including status as a person of color, lack of private insurance, unemployment/disability, problem drinking, crack cocaine use, heroin use, other illicit drug use, less than 12 years of education, criminal justice system involvement, children requiring care while the patient receives services, sex work, being the sex partner of an injection drug user, unstable housing, primary language not English, and age less than 21 or over 55 years. Most (87.7%) of the program participants had four or more of these factors present. Through CHAID modeling, those groups with the highest levels of service need and vulnerability were identified. These data suggest that these projects, designed to attract and serve individuals potentially underrepresented in the health services system, had in fact achieved that goal. Implications of the changing demographics of the HIV epidemic for the health service delivery system are discussed.
authors.affiliation: The Measurement Group, 5811A Uplander Way, Culver City, CA 90230, USA.
authors.forename: T A
authors.initials: TA
authors.lastname: Larson
authors.forename: L M
authors.initials: LM
authors.lastname: Mundy
authors.forename: L A
authors.initials: LA
authors.lastname: Melchior
authors.forename: A T
authors.initials: AT
authors.lastname: Panter
authors.forename: V B
authors.initials: VB
authors.lastname: Brown
authors.forename: P
authors.initials: P
authors.lastname: Chase
authors.forename: D A
authors.initials: DA
authors.lastname: Cherin
authors.forename: T
authors.initials: T
authors.lastname: Gallagher
authors.forename: V F
authors.initials: VF
authors.lastname: German
authors.forename: E
authors.initials: E
authors.lastname: Jean-Louis
authors.forename: J
authors.initials: J
authors.lastname: Kaplan
authors.forename: S S
authors.initials: SS
authors.lastname: McDonald
authors.forename: K L
authors.initials: KL
authors.lastname: Meredith
authors.forename: P
authors.initials: P
authors.lastname: Reis
authors.forename: K
authors.initials: K
authors.lastname: Richardson-Nassif
authors.forename: C
authors.initials: C
authors.lastname: Rohweder
authors.forename: G A
authors.initials: GA
authors.lastname: Smereck
authors.forename: A
authors.initials: A
authors.lastname: Stanton
authors.forename: J
authors.initials: J
authors.lastname: Steinberg
authors.forename: K
authors.initials: K
authors.lastname: Marconi
authors.forename: G J
authors.initials: GJ
authors.lastname: Huba
mesh_terms: D000328:Adult; D016009:Chi-Square Distribution; D003153:Community Health Services; D003710:Demography; D005260:Female; D005544:Forecasting; D015658:HIV Infections / Q000628:therapy*; D006801:Humans; D008297:Male; D008507:Medically Underserved Area; D008875:Middle Aged; D020380:Needs Assessment / Q000145:classification*; D010865:Pilot Projects; D015397:Program Evaluation; D012944:Social Support; D014481:United States; D016387:Women's Health