Amy G Bonilla1, Nadereh Pourat1, Emmeline Chuang1, Susan Ettner1, Bonnie Zima1, Xiao Chen1, Connie Lu1, Hank Hoang1, Brionna Y Hair1, Joshua Bolton1, Alek Sripipatana1. 1. Department of Health Policy and Management, Fielding School of Public Health (Bonilla, Pourat, Chuang, Ettner); Center for Health Policy Research (Pourat, Chen, Lu); Center for Health Services and Society, Semel Institute for Neuroscience and Human Behavior (Zima); Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine (Ettner); Department of Psychiatry and Behavioral Sciences, David Geffen School of Medicine (Zima), all at University of California, Los Angeles, Los Angeles; Office of Quality Improvement, Bureau of Primary Health Care, Health Resources and Services Administration, U.S. Department of Health and Human Services (Hoang, Hair, Bolton, Sripipatana).
Abstract
OBJECTIVE: The study objective was to examine the association between mental health staffing at health centers funded by the Health Resources and Services Administration (HRSA) and patients' receipt of mental health treatment. METHODS: Data were from the 2014 HRSA-funded Health Center Patient Survey and the 2013 Uniform Data System. Colocation of any mental health staff, including psychiatrists, psychologists, and other licensed staff, was examined. The outcomes of interest were whether a patient received any mental treatment and received any such treatment on site (at the health center). Analyses were conducted with multilevel generalized structural equation logistic regression models for 4,575 patients ages 18-64. RESULTS: Patients attending health centers with at least one mental health full-time equivalent (FTE) per 2,000 patients had a higher predicted probability of receiving mental health treatment (32%) compared with those attending centers with fewer than one such FTE (24%) or no such staffing (22%). Among patients who received this treatment, those at health centers with no staffing had a significantly lower predicted probability of receiving such treatment on site (28%), compared with patients at health centers with fewer than one such FTE (49%) and with at least one such FTE (65%). The predicted probability of receiving such treatment on site was significantly higher if there was a colocated psychiatrist versus no psychiatrist (58% versus 40%). CONCLUSIONS: Colocating mental health staff at health centers increases the probability of patients' access to such treatment on site as well as from off-site providers.
OBJECTIVE: The study objective was to examine the association between mental health staffing at health centers funded by the Health Resources and Services Administration (HRSA) and patients' receipt of mental health treatment. METHODS: Data were from the 2014 HRSA-funded Health Center Patient Survey and the 2013 Uniform Data System. Colocation of any mental health staff, including psychiatrists, psychologists, and other licensed staff, was examined. The outcomes of interest were whether a patient received any mental treatment and received any such treatment on site (at the health center). Analyses were conducted with multilevel generalized structural equation logistic regression models for 4,575 patients ages 18-64. RESULTS: Patients attending health centers with at least one mental health full-time equivalent (FTE) per 2,000 patients had a higher predicted probability of receiving mental health treatment (32%) compared with those attending centers with fewer than one such FTE (24%) or no such staffing (22%). Among patients who received this treatment, those at health centers with no staffing had a significantly lower predicted probability of receiving such treatment on site (28%), compared with patients at health centers with fewer than one such FTE (49%) and with at least one such FTE (65%). The predicted probability of receiving such treatment on site was significantly higher if there was a colocated psychiatrist versus no psychiatrist (58% versus 40%). CONCLUSIONS: Colocating mental health staff at health centers increases the probability of patients' access to such treatment on site as well as from off-site providers.
Entities:
Keywords:
Mental illness and alcohol/drug abuse; Primary care
Authors: Elizabeth Reisinger Walker; Janet R Cummings; Jason M Hockenberry; Benjamin G Druss Journal: Psychiatr Serv Date: 2015-03-01 Impact factor: 3.084
Authors: Michael A Hoge; Gail W Stuart; John Morris; Michael T Flaherty; Manuel Paris; Eric Goplerud Journal: Health Aff (Millwood) Date: 2013-11 Impact factor: 6.301
Authors: P Wu; C W Hoven; H R Bird; R E Moore; P Cohen; M Alegria; M K Dulcan; S H Goodman; S M Horwitz; J H Lichtman; W E Narrow; D S Rae; D A Regier; M T Roper Journal: J Am Acad Child Adolesc Psychiatry Date: 1999-09 Impact factor: 8.829
Authors: Stephen J Bartels; Eugenie H Coakley; Cynthia Zubritsky; James H Ware; Keith M Miles; Patricia A Areán; Hongtu Chen; David W Oslin; Maria D Llorente; Giuseppe Costantino; Louise Quijano; Jack S McIntyre; Karen W Linkins; Thomas E Oxman; James Maxwell; Sue E Levkoff Journal: Am J Psychiatry Date: 2004-08 Impact factor: 18.112
Authors: Amy M Kilbourne; Cheryl Irmiter; Jeff Capobianco; Kathleen Reynolds; Karen Milner; Kristen Barry; Frederic C Blow Journal: Adm Policy Ment Health Date: 2008-05-28
Authors: Bridget Teevan Burke; Benjamin F Miller; Michelle Proser; Stephen M Petterson; Andrew W Bazemore; Eric Goplerud; Robert L Phillips Journal: BMC Health Serv Res Date: 2013-07-02 Impact factor: 2.655