RESUMEN
OBJECTIVE: This study investigated the association between the racial and ethnic residential composition of San Francisco neighborhoods and the rate of mental health-related 911 calls. METHODS: A total of 1,341,608 emergency calls (28,197 calls related to mental health) to San Francisco's 911 system were made from January 2001 through June 2003. Police sector data in the call records were overlaid onto U.S. census tracts to estimate sector demographic and socioeconomic characteristics. Negative binomial regression was used to estimate the association between the percentage of black, Asian, Latino, and white residents and rates of mental health-related calls. RESULTS: A one-point increase in a sector's percentage of black residents was associated with a lower rate of mental health-related calls (incidence rate ratio=.99, p<.05). A sector's percentage of Asian and Latino residents had no significant effect. CONCLUSIONS: The observed relationship between the percentage of black residents and mental health-related calls is not consistent with known emergency mental health service utilization patterns.
Asunto(s)
Sistemas de Comunicación entre Servicios de Urgencia/estadística & datos numéricos , Etnicidad , Trastornos Mentales/etnología , Grupos Raciales , Características de la Residencia , Documentación , Femenino , Humanos , Masculino , Modelos Estadísticos , San FranciscoRESUMEN
This study tested the feasibility of a simple mail survey approach to measuring community preferences for mental health services. A 38 item survey detected statistically significant differences in preferences for four central goals, finding that community members most value Focus on the Severely Mentally Ill, followed by Community Safety and Environment, Service Quality and Original Community Mental Health Goals. Some procedural problems were encountered that reduced the response rates, however, the study yielded information that suggests improved procedures for future surveys. Simple mail surveys appear to offer a potentially affordable, efficient way to assess community service priorities.